Excellent Artificial Intelligence
View allAll Photos Tagged machine_learning.
Reading through this article about the benefits of Machine Learning,
www.datacamp.com/blog/what-is-machine-learning
I've learned that Machine Learning (ML) is a branch of artificial intelligence (AI) enabling AI to imitate the way that humans learn, gradually improving it's accuracy.
The following statement particularly caught my attention in the article:
'In the 21st century, data is the new oil, and machine learning is the engine that powers this data-driven world. It is a critical technology in today's digital age, and its importance cannot be overstated.'
I have also learned throughout the article the many ways machine learning is beneficial for me personally: it helps me to see what I'd like to see, shows me what I'd like to buy, listens to me, tracks my behaviour and feeds my mind it's daily dose of information.
And from there I can see the benefits of me being in a perfectly round digital world with all my favourite things and thoughts circulating around me, I just need make sure that no one will ever come close to me with their strange worlds and disturbing opinions, unless they want to see my existential fear being properly activated...
To be fair with the article, it does mention one actual benefit to humanity; it states that machine learning is used widely in health care. Google's DeepMind Health for example is working with doctors to build machine learning models to detect diseases earlier and improve patient care. And I would like to think that there are many other areas as well where the application of ML is implemented by goodwill and in faith of a better future for us, not driven by greed, power or any other sinister agendas.
I believe regardless of what is the original intent of creating a tool/machine/algorithm, once created, you will have the moral choice to use it and aim towards what's right, or to use it and aim towards what's wrong, or don't even care at all, just use the tool and see what happens, in any ways, there is always a price to pay.
We've yet to see what is the ultimate price to pay for releasing and so desperately trying to finalize an 'all knowing' machine god above us, and I can only hope that while we are still in control, human goodwill will always outweigh human greed, and we can still remain to be compassionate individual human beings seeing each other in the warm light of the sun, and not turning into some cold numbers on a blue screen as part of a soulless database.
...
I do understand the importance of science and economics, but I don't want to live in a 'data-driven' world...
I want to live in a love-driven world.
If only machines could 'deep learn' love, and mass generate it into the world... that I could call Progress.
Image taken at Bikás Park Underground Station, Budapest, Hungary.
"Artificial intelligence is about replacing human decision making with more sophisticated technologies" - Fagulni Desai.
“The term (political correctness) first appeared in Marxist-Leninist vocabulary following the Russian Revolution of 1917. At that time it was used to describe adherence to the policies and principles of the Communist Party of the Soviet Union (that is, the party line).” – Encyclopedia Britannica
The communists killed millions and millions of their people in order to create a utopian society based on equality. In communism, one must be “politically correct.” If you say something wrong you might disappear in the night, never to be seen again. Of course, self-censorship and voluntary compliance are preferred by the regime. Indoctrination keeps an individual within the proper ideological bounds of the state.
“Restriction of free thought and free speech is the most dangerous of all subversions. It is the one un-American act that could most easily defeat us.” – William Douglas
Many cannot recognize the threat of censorship, because they are ignorant of the crimes of communism. The public is more aware of the atrocities of the Nazis, as opposed to the atrocities of the communists. This is what happens when universities are bastions of Marxism, and professors are fond of Karl Marx. (Karl Marx and Frederick Engels wrote The Communist Manifesto). My grandpa, who went through the Great Depression, used to say, “People go to university to become socialists.” So this stuff is nothing new! This is what leftists call the “long march through the institutions.” The plan was to infiltrate the institutions of the West in order to transform them from the inside out. The Long March of the 1960s sowed the doctrines of critical theory (neo-Marxism). (Critical theory came out of the Frankfurt School). These seeds produced various kinds of critical theory: critical race theory, queer theory, postcolonial/decolonial theory, feminist theory, critical environmental theory, and critical pedagogy. Our children are being taught these subversive ideologies, even though they are rooted in evil. The fruits of these ideologies have produced mass death and misery. They gave us Stalin’s Great Purges and Mao’s Great Leap Forward. Indeed, the communists regulated speech, and millions died.
“Censorship reflects a society’s lack of confidence in itself. It is a hallmark of an authoritarian regime.” – Potter Stewart
Regulating hate speech is undemocratic; it is rooted in totalitarianism. Regulating hate speech is a way of enforcing the politically correct doctrine of the day. It suppresses free speech, and it suppresses open dialogue. It suppresses critical thinking, and it suppresses creativity. And it will eventually lead to the criminalization of ideological opposition.
“Misinformation, disinformation, hate speech and other risks to the information ecosystem are fueling conflict, threatening democracy and human rights, and undermining public health and climate action.” – United Nations
The West is losing its freedom of speech. People in England are being arrested for social media posts. In Germany, they are trying to ban a political party. We saw Western governments colluding with big tech to censor dissenting views during COVID-19. Various politicians want to fight misinformation and disinformation. The European Union also wants to crackdown on what it deems as misinformation and disinformation. What they are doing, however, is fighting against freedom of speech—against freedom.
“The proliferation of misinformation and disinformation threatens to erode the credibility of public institutions and limit their capacity to implement policies that enhance public well-being.” – World Bank
When central bank digital currencies and social credit scores are implemented, you better watch what you say or do. If you say or do the wrong thing, you will have your money frozen. You will be like the Canadian truckers, who had their bank accounts frozen during COVID-19. With quantum computing, cloud computing, artificial intelligence, machine learning, and data-driven technologies, a surveillance apparatus is being built. This Beast system will be an authoritarian dystopia like the world has never known.
“In this case wisdom is needed: Let the person who has understanding calculate the total number of the beast, because it is a human total number, and the sum of the number is 666.” – Revelation 13:18
This is a photo of my relative, Ella Schoen, age 13, taken in 1904. I had a macular hole affecting central vision in my left eye. Through photo editing software, I created an image of the visual distortions (metamorphosia) that I saw. Objects also appeared smaller than actual (micropsia). Peripheral (side) vision was unaffected. The final photo is my eyesight 9 months post-vitrectomy surgery – objects lean to the right, appear slightly thinner than actual and there is still a small round distortion/loss around the very center of my vision (I am looking directly between her eyes). My eyesight continues to improve, though I now also have a very common surgically-induced cataract.
I recently fell, resulting in a traumatic brain injury. Immediately following the fall, I noticed distorted vision in my right eye and will be undergoing vitrectomy surgery due to a macular hole for that eye as well (only 10-15 percent of patients have bilateral macular holes, having the condition in both eyes).
Sharing because I could find no good visualizations of what it is like to have a macular hole. Please feel free to use it for educational/editorial, modeling or machine learning purposes.
Stodmarsh, Kent, England.
A close encounter.
One of four birds present.
Some people are now using noise reduction applications in post processing eg. NoNoise AI or DeNoise AI. These programs are not simply finding hidden details already existing “behind” the noise and enhancing them. Simplified, the software is reading your photo, comparing it to its massive data library compiled from machine learning to recognize what something should look like, and then replaces the original artifacts with clean textures and details based on its photo-driven libraries.
In a sense, it can be argued that the final edited images from AI noise reduction software are composites, with areas of the image replaced by the software. I would argue that these images do not reflect the original capture at all.
Chacun a son gout!
Melancholy actress. More AI art, this time from Midjourney, coupled with another AI image editing program, Luminar Neo. Is it art? Who made it? At this point I am but a reporter, using words and knobs and someone else's machine learning. Text prompt: actress 45 smoking sitting in chair melancholy mirror wine crossing legs chair.
We need a new world-culture, a global synthesis of interconnectedness and global consciousness. We need a global citizenship movement that will promote social justice and social transformation. We must fight for fundamental human rights, over all national law and cultural identity—there must be equality for everyone! Global citizens are not born; they are created through social engineering. Children, you lack a global perspective on shared humanity, but we will indoctrinate you over time. Since you are part of this cult, you must help bridge the gap and rectify all misinformation. Remember, we global citizens are New World Order ambassadors. We must not only reflect on the virtues of globalism, but we must also act on them. As we reeducate the sheep, we must live a lifestyle of activism. True leaders are global citizens, whether they are CEOs, prime ministers, or just like you: Children of the Corn (Children of the Beast).
The number one (propaganda) issue that underscores our interconnectedness is climate change. The earth depends on our collective stewardship, which transcends all geopolitical borders and economies. One of our most important duties is to protect and enforce our global(ist) compacts. The health of the planet and society depends on useful idiots like us to lead the charge.
Smart cities are the engines of global control. They are full of opportunities, which we’ll exploit. This is a classic case of global multidimensionalism, which not only involves all facets of life, but is also omnipresent (The internet is borderless, and so is globalization). The most successful city is a smart city, because it’s interconnected globally. It reaches to the corners of the earth through smart technologies like the Internet of things, Artificial Intelligence, and Machine Learning. Now we are faced with a secular humanist phenomenology and a new age cosmology in which we must develop new and efficient methodologies. This paradigm shift is in perfect alignment with the values of global citizenship.
Take the jab, take the Mark. Be a sheep, awaken the dark. Bow the knee, bow in submission. Worship the Beast, son of perdition.
Children of the Corn—deeply rooted, widespread. Children of the Beast—tares uprooted, twice dead.
Matthew 24:4 “Then Jesus replied to them: ‘Watch out that no one deceives you.’”
My kid has birthday recently so we took him and his guests to play laser tag - a less messy kind of paintball. Players get that gear strapped onto their back and then start running around a labyrinth shooting at each other with laser pointers, basically. What better way to celebrate a new year in one's life than to make believe massacre each other? ;) Anyways, they sure did have fun.
Thank you everyone for your visits, faves and comments, they are always appreciated :)
We use automated means for systematic computational analysis of wrongthink data and statistics. We surf the data ecosystem with machine learning classifiers, looking for content of wrongthink. When we track it down, we measure its effectiveness. Once its narratives are diagnosed, we analytically target the data and run it through our narrative richness classifier—our machine learning algorithm. We’ve trained it to identify content that is representative of wrongthink. Our algorithm has learned the characteristics that perpetuate wrongthink. In the information ecosystem we must use manipulation to win the hearts and minds of the people. Therefore we are constructing a periodic table of social systems, in which we can categorize groups of wrongthink offenders. With this table we will gain an understanding of these groups. Then we will be able to understand their reactions and interactions with conspiracy theory wrongthink. We can’t have free thinking, critical thinkers, who can think for themselves. So we must control the information—the narrative. We use media narratives and entertainment to persuade, engage, and mobilize the masses. Like the devil, we twist the truth to suit our narratives. We use technology to manipulate you—Techno-Manipulation. We will tell you what is fact and what is misinformation. If you are one of the wrongthink revolutionaries, we will eventually censor and deperson you. One day you will wakeup and find yourself in a global mass Techno-Surveillance police state, where your every move will be monitored and analyzed in real time. Eventually, if you are found guilty of wrongthink hate crimes, you will be sent to a reeducation camp. If, however, you refuse to reform, you will be sentenced to death. Off with your head, you wrongthink terrorist! We must stamp out terrorism (critical thinking)! Exterminate the useless thinkers/eaters—bring on another holocaust! Welcome to the Techno-Dark Ages—the Techno-World Order—where you will take the Techno-Mark (666) and worship the Techno-Beast (Image of the Beast). Techno-Deindividuation and Techno- Eugenics: boy, the transhuman (666) future looks bright! Techno-Dystopia and the Internet of Bodies, here we come! Join the Fourth Industrial Revolution, join the Fourth Reich, follow the Führer! Give the Antichrist salute. Hail Beast! Hail Satan!
Daniel 7:7 “Then in my vision that night, I saw a fourth beast—terrifying, dreadful, and very strong. It devoured and crushed its victims with huge iron teeth and trampled their remains beneath its feet. It was different from any of the other beasts, and it had ten horns.”
text input: "abstract painting of rectangles arranged vertically in the style of mark rothko". Exactly as produced by DALL-E 2, no tweaking.
DALL-E (stylized as DALL·E) and DALL-E 2 are machine learning models developed by OpenAI to generate digital images from natural language descriptions. DALL-E was revealed by OpenAI in a blog post in January 2021, and uses a version of GPT-3, modified to generate images. In April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles" - Wikipedia
As countries undemocratically move towards implementing their New World Order goals of a net zero future, urban areas will evolve into smart ghettos. We’ll transform this world into one big community of Agenda 21 smart cities. We’ll use community-led initiatives to make Personal Carbon Allowance Programs palatable and socially acceptable to the sheep. We’ll promote an authoritarian system for tracking your carbon emissions. The levers of mass formation psychosis will be much more impactful through global citizen re-education programs. There has been much advancement in Fourth Industrial Revolution technologies such as AI and machine-learning. These technologies will play a key role in tracking your lifestyle emissions, so that you can make ethical decisions. AI will monitor your consumer habits by using your historical and real time data, providing recommendations for your needs. AI will provide an in-depth analyzes on the choices you make for food, transport, and utilities. Energy efficiency apps will provide statistics about your lifestyle emissions, helping you to reduce your consumer-related footprint. Awareness of your home energy consumption will help you change your lifestyle, thus you can do your part in saving the planet. Eventually AI will control every aspect of your life. It will plan out your days. It will control how long you sleep and what you eat. It will control your home utilities. We must be willing to change how we live and work, so that we can combat the effects of geoengeneered climate change. For a greener tomorrow we must lower our lifestyle emissions. We must lower our expectations and become a lifestyle emissions slave. Climate crisis rationing, do your part to save the earth! You are nothing but bottom feeders, carbon polluters! Our plan is not only to depopulate the earth but to replace humanity with human-machine hybrids. It’s for the greater good of the planet! You will be deemed obsolete, because you aren’t part of a sustainable future—net zero human-machine hybrids are the future. Survival of the fittest—Outwit, Outplay, Outlast!
You’ll be a digital slave in a digital gulag, socially engineered and controlled by a Social Credit Score System. Smart ID’s-smart currency. Hello world! Hello facial recognition and biometrics! Hello surveillance society! The future definitely doesn’t look dystopian, now does it!?! Smart cities-to smart homes-to smart people (transhumans). Smart chip-smart people-controlled sheep. “Disaster will be inescapable, as if a man ran from a lion only to meet a bear, then escaped into a house, leaned his hand against the wall, and was bitten by a poisonous snake.”
Since the globalists are possessed by the spirit of antichrist, they are paving the way for the eventually reign of the Antichrist.
David Spangler: “We do not want another committee, we have too many already. What we want is a man of sufficient stature to hold the allegiance of all the people and to lift us up out of the economic morass into which we are sinking. Send us such a man, and whether he be God or devil, we will receive him.”
If you take the Mark (666) your mind will be changed from that of a man, to that of the Beast, till seven times pass by for him. Seven will be the Dragons years. The Beast will say, “Is this not Babylon the Great, which I myself have built by the might of my power as a royal residence and for the glory of my majesty?” However, a proclamation will be made: “Fallen, fallen is Babylon the Great! She has become a dwelling place for demons, a haunt for every unclean spirit, a haunt for every unclean bird, a haunt for every unclean and detestable beast.” Then the handwriting will be on the wall:
“God has numbered the days of your reign and has brought it to an end.”
“You have been weighed on the balances and have not measured up.”
Your kingdom has been given to another.
“And I saw heaven opened, and behold, a white horse, and the One seated on it was called ‘Faithful’ and ‘True,’ and with justice He judges and makes war.” “And the Beast was seized, and with him the False Prophet who performed the signs before him, by which he deceived those who received the Mark of the Beast and those who had worshiped his Image. The two were thrown alive into the lake of fire that burns with sulphur.” “In the time of those kings, the God of heaven will set up a kingdom that will never be destroyed, nor will it be left to another people. It will crush all those kingdoms and bring them to an end, but it will itself endure forever.” “Whoever has ears, let them hear.”
DALL-E (stylized as DALL·E) and DALL-E 2 are machine learning models developed by OpenAI to generate digital images from natural language descriptions. DALL-E was revealed by OpenAI in a blog post in January 2021, and uses a version of GPT-3, modified to generate images. In April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles" - Wikipedia
Con todo el crecimiento desmesurado y la variedad de datos accesible las empresas están cada vez más interesadas en extraer información valiosa que utilizar para optimizar la toma de decisiones y desarrollar estrategias que apoyen la participación de los clientes. Para estos procesos, el apr...
OM-1, Olympus 12-40/2.8 mk1, DxO, Agfa APX 100 (edited to taste).
All rights reserved, including, but not limited to, the usage for training and development of machine learning models, algorithms and artificial intelligence.
Topaz Denoise AI is another of the Topaz artificial intelligence and machine learning powered tools which is designed to intellegantly reduce noise in photos. Have a look at how the software performs with a night photo which contains some noise. ------- Discount ------- Topaz has kindly provided a discount code for my viewers if you use the Topaz links below, and when purchasing use the discount code: TRAVISHALE20 you can get up to 20% discount on your purchase. ------- Links ------- Denoise AI: bit.ly/30K5CTB AI Bundle: bit.ly/2H981PQ Radeon RX 580 Graphics Card (eBay): bit.ly/2YgZu3m ------- Social Media ------ Website: bit.ly/1DG47rJ Newsletter: bit.ly/2V6KTFL Facebook: bit.ly/1OARaBV Twitter: www.twitter.com/travishale Instagram: bit.ly/2V5d3km Flickr: bit.ly/2ZYVOVv 500px: bit.ly/1S8wWSj Youtube: www.youtube.com/c/TravisHaleSciencePhotography NB: Some of the links on this site may be affiliate links, these do not change my opinion on products and/or services but allow me to continue to provide (hopefully) useful content to the community. If you purchase a product through an affiliate link, it does not change the cost of the item, but I may be provided with a small commission for referring you. For more information, visit: bit.ly/300WcCH
More Victorian erotica in which mythology provides all the excuse the artist needs for nudity. Original greyscale version here.
This is a photo of a painting I found online and applied the usual cleanups to before upscaling with Bigjpg AI Image Enlarger. and colorized using DeepAI Image Colorization API. (These are not paid endorsements, but if they're interested they may feel free to contact me.)
The colorization needed a bit of work, and if you look carefully you can see where I've digitally "repainted" a few patches, but I think the final result looks great.
Having previously been confused by the artist's signature, I believe it may belong to Georges Landelle, a French artist with very little biographical data online except the dates bearing witness to a tragically short life.
However, I've only come across a couple of Landelle's paintings, neither of them nudes; one of them had a clear signature, but it didn't look much like the one on this painting. For this reason, the attribution must remain conjectural in the absence of further proof.
In the Ars Electronica Center's Machine Learning Studio visitors can use computer vision and machine learning applications to discover how machines learn and perceive their environment. Working with tech trainers, they can build and train self-driving model cars here, program robots with facial recognition, and gain insights into how they can teach these devices a wide variety of activities. Step-by-step, they can experience not only how these technologies function, but also that everything the machines know is determined by us.
Ars Electronica Center Linz
Ars-Electronica-Straße 1
4040 Linz
Austria
Credit: Ars Electronica - Robert Bauernhansl
Congratulations to Intel on their acquisition of Nervana. This photo is from the last board meeting at our offices; the Nervana founders — from right to left: Naveen Rao, Amir Khosrowshahi and Arjun Bansal — pondered where on the wall they may fall during M&A negotiations.
We are now free to share some of our perspectives on the company and its mission to accelerate the future with custom chips for deep learning.
I’ll share a recap of the Nervana story, from an investor’s perspective, and try to explain why machine learning is of fundamental importance to every business over time. In short, I think the application of iterative algorithms (e.g., machine learning, directed evolution, generative design) to build complex systems is the most powerful advance in engineering since the Scientific Method. Machine learning allows us to build software solutions that exceed human understanding, and shows us how AI can innervate every industry.
By crude analogy, Nervana is recapitulating the evolutionary history of the human brain within computing — moving from the logical constructs of the reptilian brain to the cortical constructs of the human brain, with massive arrays of distributed memory and iterative learning algorithms.
Not surprisingly, the founders integrated experiences in neuroscience, distributed computing, and networking — a delightful mélange for tackling cognitive computing. Ali Partovi, an advisor to Nervana, introduced us to the company.
We were impressed with the founding team and we had a prepared mind to share their enthusiasm for the future of deep learning. Part of that prepared mind dates back to 1989, when I started a PhD in EE focusing on how to accelerate neural networks by mapping them to parallel processing computers. Fast forward 25 years, and the nomenclature has shifted to machine learning and the deep learning subset, and I chose it as the top tech trend of 2013 at the Churchill Club VC debate (video). We were also seeing the powerful application of deep learning and directed evolution across our portfolio, from molecular design to image recognition to cancer research to autonomous driving.
All of these companies were deploying these simulated neural networks on traditional compute clusters. Some were realizing huge advantages by porting their code to GPUs; these specialized processors originally designed for rapid rendering of computer graphics have many more computational cores than a traditional CPU, a baby step toward a cortical architecture. I first saw them being used for cortical simulations in 2007. But by the time of Nervana’s founding in 2014, some (e.g., Microsoft’s and Google’s search teams) were exploring FPGA chips for their even finer-grained arrays of customizable logic blocks. Custom silicon that could scale beyond any of these approaches seemed like the natural next step. Here is a page from Nervana’s original business plan (Fig. 1 in comments below).
The march to specialized silicon, from CPU to GPU to FPGA to ASIC, had played out similarly for Bitcoin miners, with each step toward specialized silicon obsoleting the predecessors. When we spoke to Amazon, Google, Baidu, and Microsoft in our due diligence, we found a much broader application of deep learning within these companies than we could have imagined prior, from product positioning to supply chain management.
Machine learning is central to almost everything that Google does. And through that lens, their acquisition, and new product strategies make sense; they are not traditional product line extensions, but a process expansion of machine leaning (more on that later). They are not just playing games of Go for the fun of it. Recently, Google switched their core search algorithms to deep learning, and they used Deep Mind to cut data center cooling costs by a whopping 40%.
The advances in deep learning are domain independent. Google can hire and acquire talent and delight in their passionate pursuit of game playing or robotics. These efforts help Google build a better brain. The brain can learn many things. It is like a newborn human; it has the capacity to learn any of the languages of the world, but based on training exposure, it will only learn a few. Similarly, a synthetic neural network can learn many things.
Google can let the Brain team find cats on the Internet and play a great game of Go. The process advances they make in building a better brain (or in this case, a better learning machine) can then be turned to ad matching, a task that does not inspire the best and the brightest to come work for Google.
The domain independence of deep learning has profound implications on labor markets and business strategy. The locus of learning shifts from end products to the process of their creation. Artifact engineering becomes more like parenting than programming. But more on that later; back to the Nervana story.
Our investment thesis for the Series A revolved around some universal tenets: a great group of people pursuing a product vision unlike anything we had seen before. The semiconductor sector was not crowded with investor interest. AI was not yet on many venture firms’ sectors of interest. We also shared with the team that we could envision secondary benefits from discovering the customers. Learning about the cutting edge of deep learning applications and the startups exploring the frontiers of the unknown held a certain appeal for me. And sure enough, there were patterns in customer interest, from an early flurry in medical imaging of all kinds to a recent explosion of interest in the automotive sector after Tesla’s Autopilot feature went live. The auto industry collectively rushed to catch up.
Soon after we led the Series A on August 8, 2014, I found myself moderating a deep learning panel at Stanford with Nervana CEO Naveen Rao.
I opened with an introduction to deep learning and why it has exploded in the past four years (video primer). I ended with some common patterns in the power and inscrutability of artifacts built with iterative algorithms. We see this in biology, cellular automata, genetic programming, machine learning and neural networks.
There is no mathematical shortcut for the decomposition of a neural network or genetic program, no way to “reverse evolve” with the ease that we can reverse engineer the artifacts of purposeful design.
The beauty of compounding iterative algorithms — evolution, fractals, organic growth, art — derives from their irreducibility. (More from my Google Tech Talk and MIT Tech Review)
Year 1. 2015
Nervana adds remarkable engineering talent, a key strategy of the first mover. One of the engineers figures out how to rework the undocumented firmware of NVIDIA GPUs so that they run deep learning algorithms faster than off-the-shelf GPUs or anything else Facebook could find. Matt Ocko preempted the second venture round of the company, and he brought the collective learning of the Data Collective to the board.
Year 2. 2016 Happy 2nd Birthday Nervana!
The company is heads down on chip development. They share some technical details (flexpoint arithmetic optimized for matrix multiplies and 32GB of stacked 3D memory on chip) that gives them 55 trillion operations per second on their forthcoming chip, and multiple high-speed interconnects (as typically seen in the networking industry) for ganging a matrix of chips together into unprecedented compute fabrics. 10x made manifest. See Fig. 2 below.
And then Intel came knocking.
With the most advanced production fab in the world and a healthy desire to regain the mantle of leading the future of Moore’s Law, the combination was hard to resist. Intel vice president Jason Waxman told Recode that the shift to artificial intelligence could dwarf the move to cloud computing. “I firmly believe this is not only the next wave but something that will dwarf the last wave.” But we had to put on our wizard hats to negotiate with giants.
The deep learning and AI sector have heated up in labor markets to relatively unprecedented levels. Large companies are recently paying $6–10 million per engineer for talent acquisitions, and $4–5M per head for pre-product startups still in academia. For the Masters students in a certain Stanford lab, they averaged $500K/yr for their first job offer at graduation. We witnessed an academic turn down a million dollar signing bonus because they got a better offer.
Why so hot?
The deep learning techniques, while relatively easy to learn, are quite foreign to traditional engineering modalities. It takes a different mindset and a relaxation of the presumption of control. The practitioners are like magi, sequestered from the rest of a typical engineering process. The artifacts of their creation are isolated blocks of functionality defined by their interfaces. They are like blocks of magic handed to other parts of a traditional organization. (This carries over to the customers too; just about any product that you experience in the next five years that seems like magic will almost certainly be built by these algorithms).
And remember that these “brain builders” could join any industry. They can ply their trade in any domain. When we were building the deep learning team at Human Longevity Inc. (HLI), we hired the engineering lead from the Google’s Translate team. Franz Och pioneered Google’s better-than-human translation service not by studying linguistics, grammar, or even speaking the languages being translated. He focused on building the brain that could learn the job from countless documents already translated by humans (UN transcripts in particular). When he came to HLI, he cared about the mission, but knew nothing about cancer and the genome. The learning machines can find the complex patterns across the genome. In short, the deep learning expertise is fungible, and there are a burgeoning number of companies hiring and competing across industry lines.
And it is an ever-widening set of industries undergoing transformation, from automotive to agriculture, healthcare to financial services. We saw this explosion in the Nervana customer pipeline. And we see it across the DFJ portfolio, especially in our newer investments. Here are some examples:
• Learning chemistry and drug discovery: Here is a visualization of the search space of candidates for a treatment for Ebola; it generated the lead molecule for animal trials. Atomwise summarizes: “When we examine different neurons on the network we see something new: AtomNet has learned to recognize essential chemical groups like hydrogen bonding, aromaticity, and single-bonded carbons. Critically, no human ever taught AtomNet the building blocks of organic chemistry. AtomNet discovered them itself by studying vast quantities of target and ligand data. The patterns it independently observed are so foundational that medicinal chemists often think about them, and they are studied in academic courses. Put simply, AtomNet is teaching itself college chemistry.”
• Designing new microbial life for better materials: Zymergen uses machine learning to predict the combination of genetic modifications that will optimize product yield for their customers. They are amassing one of the largest data sets about microbial design and performance, which enables them to train machine learning algorithms that make search predictions with increasing precision. Genomatica had great success in pathway optimization using directed evolution, a physical variant of an iterative optimization algorithm.
• Discovery and change detection in satellite imagery: Planet and Mapbox. Planet is now producing so much imagery that humans can’t actually look at each picture it takes. Soon, they will image every meter of the Earth every day. From a few training examples, a convolutional neural net can find similar examples globally — like all new housing starts, all depleted reservoirs, all current deforestation, or car counts for all retail parking lots.
• Automated driving & robotics: Tesla, Zoox, SpaceX, Rethink Robotics, etc.
• Visual classification: From e-commerce to drones to security cameras and more. Imagen is using deep learning to radically improve medical image analysis, starting with radiology.
• Cybersecurity: When protecting endpoint computing & IOT devices from the most advanced cyberthreats, AI-powered Cylance is proving to be a far superior and adaptive approach versus older signature-based antivirus solutions.
• Financial risk assessment: Avant and Prosper use machine learning to improve credit verification and merge traditional and non-traditional data sources during the underwriting process.
• And now for something completely different: quantum computing. For a wormhole peek into the near future, our quantum computing company, D-Wave Systems, powered a 100,000,000x speedup in a demonstration benchmark for Google, a company that has used D-Wave quantum computers for over a decade now on machine learning applications.
So where will this take us?
Neural networks had their early success in speech recognition in the 90’s. In 2012, the deep learning variant dominated the ImageNet competitions, and visual processing can now be better done by machine than human in many domains (like pathology, radiology and other medical image classification tasks). DARPA has research programs to do better than a dog’s nose in olfaction.
We are starting the development of our artificial brains in the sensory cortex, much like an infant coming into the world. Even within these systems, like vision, the deep learning network starts with similar low level constructs (like edge-detection) as foundations for higher level constructs like facial forms, and ultimately, finding cats on the internet with self-taught learning.
But the artificial brains need not limit themselves to the human senses. With the internet of things, we are creating a sensory nervous system on the planet, with countless sensors and data collecting proliferating across the planet. All of this “big data” would be a big headache but for machine learning to find patterns in it all and make it actionable. So, not only are we transcending human intelligence with multitudes of dedicated intelligences, we are transcending our sensory perception.
And it need not stop there. It is precisely by these iterative algorithms that human intelligence arose from primitive antecedents. While biological evolution was slow, it provides an existence proof of the process, now vastly accelerated in the artificial domain. It shifts the debate from the realm of the possible to the likely timeline ahead.
Let me end with the closing chapter in Danny Hillis’ CS book The Pattern on the Stone: “We will not engineer an artificial intelligence; rather we will set up the right conditions under which an intelligence can emerge. The greatest achievement of our technology may well be creation of tools that allow us to go beyond engineering — that allow us to create more than we can understand.”
-----
Here is some early press:
Xconomy(most in-depth), MIT Tech Review, Re/Code, Forbes, WSJ, Fortune.
I decided to try colorizing this Internet Archive photo using Deep AI Image Colorization API. After a few adjustments I've arrived at a look that , while it might not be entirely naturalistic, is colourful and to my eyes aesthetically pleasing.
Phlip Beesley Workshop October 2015 with CITAstudio
The installation DISSIPATIVE ARCHITECTURES explores the idea of a dynamic responsive architecture. The installation has been constructed during our recent CITAstudio workshop with Philip Beesley.
The opening of the linked exhibition is on Friday 4th at 15.00h in the KADK library: Danneskiold-Samsøes Allé 50 DK 1434 København K.
Topaz Sharpen AI is a photo editing tool that is designed to improve your blurry photos by using AI and Machine learning to reduce the blurriness and improve sharpness. Have a look at how it performs on a blurry tiger photo and its limitations. ------- Discount ------- Topaz has kindly provided a discount code for my viewers if you use the Topaz links below, and when purchasing use the discount code: TRAVISHALE20 you can get up to 20% discount on your purchase. ------- Links ------- Sharpen AI: bit.ly/2VR0KIw AI Bundle: bit.ly/2H981PQ Radeon RX 580 Graphics Card (eBay): bit.ly/2YgZu3m ------- Social Media ------ Website: bit.ly/1DG47rJ Newsletter: bit.ly/2V6KTFL Facebook: bit.ly/1OARaBV Twitter: www.twitter.com/travishale Instagram: bit.ly/2V5d3km Flickr: bit.ly/2ZYVOVv 500px: bit.ly/1S8wWSj Youtube: www.youtube.com/c/TravisHaleSciencePhotography NB: Some of the links on this site may be affiliate links, these do not change my opinion on product(s) and/or service(s) but allow me to continue to provide (hopefully) useful content to the community. If you purchase a product through an affiliate link, it does not change the cost of the item, but I may be provided with a small commission for referring you. For more information, visit: bit.ly/300WcCH
ITM1692074
Google is an American multinational technology company focusing on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence,[9] and consumer electronics. It has been referred to as "the most powerful company in the world"[10] and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of artificial intelligence.[11][12][13] Its parent company Alphabet is considered one of the Big Five American information technology companies, alongside Amazon, Apple, Meta, and Microsoft.
Google was founded on September 4, 1998, by Larry Page and Sergey Brin while they were PhD students at Stanford University in California. Together they own about 14% of its publicly listed shares and control 56% of the stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Google is Alphabet's largest subsidiary and is a holding company for Alphabet's Internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet.[14]
The company has since rapidly grown to offer a multitude of products and services beyond Google Search, many of which hold dominant market positions. These products address a wide range of use cases, including email (Gmail), navigation (Waze & Maps), cloud computing (Cloud), web browsing (Chrome), video sharing (YouTube), productivity (Workspace), operating systems (Android), cloud storage (Drive), language translation (Translate), photo storage (Photos), video calling (Meet), smart home (Nest), smartphones (Pixel), wearable technology (Pixel Watch & Fitbit), music streaming (YouTube Music), video on demand (YouTube TV), artificial intelligence (Google Assistant), machine learning APIs (TensorFlow), AI chips (TPU), and more. Discontinued Google products include gaming (Stadia), Glass,[citation needed] Google+, Reader, Play Music, Nexus, Hangouts, and Inbox by Gmail.[15][16]
Google's other ventures outside of Internet services and consumer electronics include quantum computing (Sycamore), self-driving cars (Waymo, formerly the Google Self-Driving Car Project), smart cities (Sidewalk Labs), and transformer models (Google Brain).[17]
Google and YouTube are the two most visited websites worldwide followed by Facebook and Twitter. Google is also the largest search engine, mapping and navigation application, email provider, office suite, video sharing platform, photo and cloud storage provider, mobile operating system, web browser, ML framework, and AI virtual assistant provider in the world as measured by market share. On the list of most valuable brands, Google is ranked second by Forbes[18] and fourth by Interbrand.[19] It has received significant criticism involving issues such as privacy concerns, tax avoidance, censorship, search neutrality, antitrust and abuse of its monopoly position.
In March 1999, the company moved its offices to Palo Alto, California,[52] which is home to several prominent Silicon Valley technology start-ups.[53] The next year, Google began selling advertisements associated with search keywords against Page and Brin's initial opposition toward an advertising-funded search engine.[54][22] To maintain an uncluttered page design, advertisements were solely text-based.[55] In June 2000, it was announced that Google would become the default search engine provider for Yahoo!, one of the most popular websites at the time, replacing Inktomi.
In 2003, after outgrowing two other locations, the company leased an office complex from Silicon Graphics, at 1600 Amphitheatre Parkway in Mountain View, California.[59] The complex became known as the Googleplex, a play on the word googolplex, the number one followed by a googol zeroes. Three years later, Google bought the property from SGI for $319 million.[60] By that time, the name "Google" had found its way into everyday language, causing the verb "google" to be added to the Merriam-Webster Collegiate Dictionary and the Oxford English Dictionary, denoted as: "to use the Google search engine to obtain information on the Internet".[61][62] The first use of the verb on television appeared in an October 2002 episode of Buffy the Vampire Slayer.[63]
Additionally, in 2001 Google's investors felt the need to have a strong internal management, and they agreed to hire Eric Schmidt as the chairman and CEO of Google.[49] Eric was proposed by John Doerr from Kleiner Perkins. He had been trying to find a CEO that Sergey and Larry would accept for several months, but they rejected several candidates because they wanted to retain control over the company. Michael Moritz from Sequoia Capital at one point even menaced requesting Google to immediately pay back Sequoia's $12.5m investment if they did not fulfill their promise to hire a chief executive office, which had been made verbally during investment negotiations. Eric wasn't initially enthusiastic about joining Google either, as the company's full potential hadn't yet been widely recognized at the time, and as he was occupied with his responsibilities at Novell where he was CEO. As part of him joining, Eric agreed to buy $1 million of Google preferred stocks as a way to show his commitment and to provide funds Google needed.
Google generates most of its revenues from advertising. This includes sales of apps, purchases made in-app, digital content products on Google and YouTube, Android and licensing and service fees, including fees received for Google Cloud offerings. Forty-six percent of this profit was from clicks (cost per clicks), amounting to US$109,652 million in 2017. This includes three principal methods, namely AdMob, AdSense (such as AdSense for Content, AdSense for Search, etc.) and DoubleClick AdExchange.
In addition to its own algorithms for understanding search requests, Google uses technology its acquisition of DoubleClick, to project user interest and target advertising to the search context and the user history.
In 2007, Google launched "AdSense for Mobile", taking advantage of the emerging mobile advertising market.
Google Analytics allows website owners to track where and how people use their website, for example by examining click rates for all the links on a page. Google advertisements can be placed on third-party websites in a two-part program. Google Ads allows advertisers to display their advertisements in the Google content network, through a cost-per-click scheme.[138] The sister service, Google AdSense, allows website owners to display these advertisements on their website and earn money every time ads are clicked.[139] One of the criticisms of this program is the possibility of click fraud, which occurs when a person or automated script clicks on advertisements without being interested in the product, causing the advertiser to pay money to Google unduly. Industry reports in 2006 claimed that approximately 14 to 20 percent of clicks were fraudulent or invalid.[140] Google Search Console (rebranded from Google Webmaster Tools in May 2015) allows webmasters to check the sitemap, crawl rate, and for security issues of their websites, as well as optimize their website's visibility.
Consumer services
Web-based services
Google offers Gmail for email, Google Calendar for time-management and scheduling, Google Maps for mapping, navigation and satellite imagery, Google Drive for cloud storage of files, Google Docs, Sheets and Slides for productivity, Google Photos for photo storage and sharing, Google Keep for note-taking, Google Translate for language translation, YouTube for video viewing and sharing, Google My Business for managing public business information, and Duo for social interaction. In March 2019, Google unveiled a cloud gaming service named Stadia. A job search product has also existed since before 2017, Google for Jobs is an enhanced search feature that aggregates listings from job boards and career sites.
Some Google services are not web-based. Google Earth, launched in 2005, allowed users to see high-definition satellite pictures from all over the world for free through a client software downloaded to their computers.
Software
Google develops the Android mobile operating system, as well as its smartwatch, television, car, and Internet of things-enabled smart devices variations.
It also develops the Google Chrome web browser, and Chrome OS, an operating system based on Chrome.
Hardware
In January 2010, Google released Nexus One, the first Android phone under its own brand. It spawned a number of phones and tablets under the "Nexus" branding until its eventual discontinuation in 2016, replaced by a new brand called Pixel.
In 2011, the Chromebook was introduced, which runs on Chrome OS.
In July 2013, Google introduced the Chromecast dongle, which allows users to stream content from their smartphones to televisions.
In June 2014, Google announced Google Cardboard, a simple cardboard viewer that lets user place their smartphone in a special front compartment to view virtual reality (VR) media.
Other hardware products include:
•Nest, a series of voice assistant smart speakers that can answer voice queries, play music, find information from apps (calendar, weather etc.), and control third-party smart home appliances (users can tell it to turn on the lights, for example). The Google Nest line includes the original Google Home (later succeeded by the Nest Audio), the Google Home Mini (later succeeded by the Nest Mini, the Google Home Max, the Google Home Hub (later rebranded as the Nest Hub), and the Nest Hub Max.
•Nest Wifi (originally Google Wifi), a connected set of Wi-Fi routers to simplify and extend coverage of home Wi-Fi.
Enterprise services
Google Workspace (formerly G Suite until October 2020) is a monthly subscription offering for organizations and businesses to get access to a collection of Google's services, including Gmail, Google Drive and Google Docs, Google Sheets and Google Slides, with additional administrative tools, unique domain names, and 24/7 support.
On September 24, 2012, Google launched Google for Entrepreneurs, a largely not-for-profit business incubator providing startups with co-working spaces known as Campuses, with assistance to startup founders that may include workshops, conferences, and mentorships. Presently, there are seven Campus locations: Berlin, London, Madrid, Seoul, São Paulo, Tel Aviv, and Warsaw.
On March 15, 2016, Google announced the introduction of Google Analytics 360 Suite, "a set of integrated data and marketing analytics products, designed specifically for the needs of enterprise-class marketers" which can be integrated with BigQuery on the Google Cloud Platform. Among other things, the suite is designed to help "enterprise class marketers" "see the complete customer journey", generate "useful insights", and "deliver engaging experiences to the right people". Jack Marshall of The Wall Street Journal wrote that the suite competes with existing marketing cloud offerings by companies including Adobe, Oracle, Salesforce, and IBM.
Internet services
In February 2010, Google announced the Google Fiber project, with experimental plans to build an ultra-high-speed broadband network for 50,000 to 500,000 customers in one or more American cities.[178][179] Following Google's corporate restructure to make Alphabet Inc. its parent company, Google Fiber was moved to Alphabet's Access division.[180][181]
In April 2015, Google announced Project Fi, a mobile virtual network operator, that combines Wi-Fi and cellular networks from different telecommunication providers in an effort to enable seamless connectivity and fast Internet signal.
Facebook is an online social media and social networking service owned by American company Meta Platforms. Founded in 2004 by Mark Zuckerberg with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, its name comes from the face book directories often given to American university students. Membership was initially limited to Harvard students, gradually expanding to other North American universities and, since 2006, anyone over 13 years old. As of July 2022, Facebook claimed 2.93 billion monthly active users,[6] and ranked third worldwide among the most visited websites as of July 2022.[7] It was the most downloaded mobile app of the 2010s.[8]
Facebook can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a profile revealing information about themselves. They can post text, photos and multimedia which are shared with any other users who have agreed to be their "friend" or, with different privacy settings, publicly. Users can also communicate directly with each other with Facebook Messenger, join common-interest groups, and receive notifications on the activities of their Facebook friends and the pages they follow.
The subject of numerous controversies, Facebook has often been criticized over issues such as user privacy (as with the Cambridge Analytica data scandal), political manipulation (as with the 2016 U.S. elections) and mass surveillance.[9] Posts originating from the Facebook page of Breitbart News, a media organization previously affiliated with Cambridge Analytica,[10] are currently among the most widely shared political content on Facebook.[11][12][13][14][15] Facebook has also been subject to criticism over psychological effects such as addiction and low self-esteem, and various controversies over content such as fake news, conspiracy theories, copyright infringement, and hate speech.
Zuckerberg built a website called "Facemash" in 2003 while attending Harvard University. The site was comparable to Hot or Not and used "photos compiled from the online face books of nine Houses, placing two next to each other at a time and asking users to choose the "hotter" person". Facemash attracted 450 visitors and 22,000 photo-views in its first four hours. The site was sent to several campus group listservs, but was shut down a few days later by Harvard administration. Zuckerberg faced expulsion and was charged with breaching security, violating copyrights and violating individual privacy. Ultimately, the charges were dropped. Zuckerberg expanded on this project that semester by creating a social study tool. He uploaded art images, each accompanied by a comments section, to a website he shared with his classmates.
A "face book" is a student directory featuring photos and personal information. In 2003, Harvard had only a paper version[ along with private online directories. Zuckerberg told The Harvard Crimson, "Everyone's been talking a lot about a universal face book within Harvard. ... I think it's kind of silly that it would take the University a couple of years to get around to it. I can do it better than they can, and I can do it in a week."[29] In January 2004, Zuckerberg coded a new website, known as "TheFacebook", inspired by a Crimson editorial about Facemash, stating, "It is clear that the technology needed to create a centralized Website is readily available ... the benefits are many." Zuckerberg met with Harvard student Eduardo Saverin, and each of them agreed to invest $1,000 ($1,435 in 2021 dollars[30]) in the site.[31] On February 4, 2004, Zuckerberg launched "TheFacebook", originally located at thefacebook.com.
Six days after the site launched, Harvard seniors Cameron Winklevoss, Tyler Winklevoss, and Divya Narendra accused Zuckerberg of intentionally misleading them into believing that he would help them build a social network called HarvardConnection.com. They claimed that he was instead using their ideas to build a competing product. The three complained to the Crimson and the newspaper began an investigation. They later sued Zuckerberg, settling in 2008 for 1.2 million shares (worth $300 million ($354 million in 2021 dollars[30]) at Facebook's IPO).
Membership was initially restricted to students of Harvard College. Within a month, more than half the undergraduates had registered.[36] Dustin Moskovitz, Andrew McCollum, and Chris Hughes joined Zuckerberg to help manage the growth of the website.[37] In March 2004, Facebook expanded to Columbia, Stanford and Yale.[38] It then became available to all Ivy League colleges, Boston University, NYU, MIT, and successively most universities in the United States and Canada.
In mid-2004, Napster co-founder and entrepreneur Sean Parker—an informal advisor to Zuckerberg—became company president.[41] In June 2004, the company moved to Palo Alto, California.[42] It received its first investment later that month from PayPal co-founder Peter Thiel. In 2005, the company dropped "the" from its name after purchasing the domain name Facebook.com for US$200,000 ($277,492 in 2021 dollars). The domain had belonged to AboutFace Corporation.
In May 2005, Accel Partners invested $12.7 million ($17.6 million in 2021 dollars) in Facebook, and Jim Breyer added $1 million ($1.39 million in 2021 dollars) of his own money. A high-school version of the site launched in September 2005. Eligibility expanded to include employees of several companies, including Apple Inc. and Microsoft.
Facebook was sued by the Federal Trade Commission as well as a coalition of several states for illegal monopolization and antitrust. The FTC and states sought the courts to force Facebook to sell its subsidiaries WhatsApp and Instagram.[183][184] The suits were dismissed by a federal judge on June 28, 2021, who stated that there was not enough evidence brought in the suit to determine Facebook to be a monopoly at this point, though allowed the FTC to amend its case to include additional evidence. In its amended filings in August 2021, the FTC asserted that Facebook had been a monopoly in the area of personal social networks since 2011, distinguishing Facebook's activities from social media services like TikTok that broadcast content without necessarily limiting that message to intended recipients.
In response to the proposed bill in the Australian Parliament for a News Media Bargaining Code, on February 17, 2021, Facebook blocked Australian users from sharing or viewing news content on its platform, as well as pages of some government, community, union, charity, political, and emergency services.[187] The Australian government strongly criticised the move, saying it demonstrated the "immense market power of these digital social giants".
On February 22, Facebook said it reached an agreement with the Australian government that would see news returning to Australian users in the coming days. As part of this agreement, Facebook and Google can avoid the News Media Bargaining Code adopted on February 25 if they "reach a commercial bargain with a news business outside the Code".
Facebook has been accused of removing and shadow banning content that spoke either in favor of protesting Indian farmers or against Narendra Modi's government. India-based employees of Facebook are at risk of arrest.
On February 27, 2021, Facebook announced Facebook BARS app for rappers.
On June 29, 2021, Facebook announced Bulletin, a platform for independent writers.[197][198] Unlike competitors such as Substack, Facebook would not take a cut of subscription fees of writers using that platform upon its launch, like Malcolm Gladwell and Mitch Albom. According to The Washington Post technology writer Will Oremus, the move was criticized by those who viewed it as an tactic intended by Facebook to force those competitors out of business.
In October 2021, owner Facebook, Inc. changed its company name to Meta Platforms, Inc., or simply "Meta", as it shifts its focus to building the "metaverse". This change does not affect the name of the Facebook social networking service itself, instead being similar to the creation of Alphabet as Google's parent company in 2015.
In November 2021, Facebook stated it would stop targeting ads based on data related to health, race, ethnicity, political beliefs, religion and sexual orientation. The change will occur in January and will affect all apps owned by Meta Platforms.
In February 2022, Facebook's daily active users dropped for the first time in its 18-year history. According to Facebook's parent Meta, DAUs dropped to 1.929 billion in the three months ending in December, down from 1.930 billion the previous quarter. Furthermore, the company warned that revenue growth would slow due to competition from TikTok and YouTube, as well as advertisers cutting back on spending.
Analysts predict a "death spiral" for facebook stock as users leave while ad impressions increase, as the company chases revenue.
On March 10, 2022, Facebook announced that it will temporarily ease rules to allow violent speech against 'Russian invaders'. Russia then banned all Meta services, including Instagram.
At a crossroads – Needing to make an important decision
When you are at a crossroads, you are at a point in your life where you need to make a decision. The implication is that the decision you make will have big, life-altering consequences.
Bad apple – Bad person
You can use this idiom to describe someone who is not nice and maybe even criminal.
Barking up the wrong tree – Pursuing the wrong course
When you “bark up the wrong tree” you are pursuing the wrong solution to your problems.
Be closefisted – Stingy
If you are being “closefisted”, you don’t want to spend a lot of money.
Be cold-hearted – Uncaring
If you decide to be “cold-hearted”, you are making a deliberate decision not to care about someone or something.
Be on solid ground – Confident
When you are “on solid ground”, you are confident in your position or feel that you are safe.
Beat around the bush – Avoid saying
When you do this, you are taking a long time to say what you really need to say. You may be doing this because the “truth” is embarrassing or your unsure about how the listener will take it.
Behind you – Supportive
When you are “behind” someone, you are saying that they have your support.
Between a rock and a hard place – Facing difficulties
When you have to choose between two options, neither of which are ideal or “good”.
Blow off steam – Try to relax
When you are stressed or upset about something, sometimes you need to do something to keep you from thinking about it.
Born with a silver spoon in their mouth – Born wealthy
This idiomatic expression is used to describe someone who was born into a wealthy family.
Break the bank – Spend a lot
When you “break the bank”, you spend a lot of money on something. If something will “break the bank”, then it’s expensive.
Bright spark – Smart
A “bright spark” is someone who is smart and valuable to an organization.
Build a case – Argue your point
When you “build a case” for something, you are preparing to argue a point or convince someone that your opinion is the right one.
Build castles in the sky – Daydream
When you fantasize about something you hope to have or achieve.
Burn your bridges – End a relationship
When you “burn your bridges” you end a relationship permanently.
Butter up – Flatter
When you “butter” someone up, you are telling them nice things about themselves.
Bought a lemon – Bad bargain
If something you bought is a “lemon” it is a bad product. In a sense, you wasted your money on it.
Break the ice – Start a conversation
When you start a conversation strangers with the end goal of making new friends.
Calm before the storm – Peaceful
When you use this to describe your state of being or mind, you’re talking about a quiet period before anticipated trouble comes your way.
Chasing rainbows – Pursuing dreams
When you try to follow your dreams. The implication here, however, is that you might be better off forgetting your dreams.
Clear as mud – Hard to understand
When you are confused about something or a situation.
Cool as a cucumber – Calm
This idiomatic expression is meant to describe someone who is calm and relaxed.
Couch potato – Lazy
A couch potato is a lazy person. Specifically, someone who sprawls on their couch watching TV almost all day.
Cross that bridge when we get to it – Think about it later
When you say this, you are telling someone that you will think about something later. The implication is that it’s a problem or a decision that can be put off for now.
Chew it over – Think had about something
This idiom implies that you need to make an important decision and can’t afford to be hasty about it.
Come to light – Be revealed
When something “comes to light” something that was originally concealed from you is revealed.
Cut back on – Reduce
When you use this idiom, you are reducing something.
Cut to the chase – Speak concisely
When you tell someone to “cut to the chase”, you are expressing impatience. This is usually used when someone feels someone else is taking to long to deliver important news.
Crystal clear – Easy to understand
When you say that something is “crystal clear”, you are saying that it is understood.
Dead-end job – No more opportunities
When you are stuck in a “dead-end job”, you are in a career situation where there is no more room for advancement.
Dig deep – Strive
When you “dig deep” you put a lot of effort into a task.
Digging into – Looking closer
When you “dig into” something, you are looking for more information.
Don’t run before you can walk – Don’t assume something is easy
This is a descriptive idiom, it’s meant to make you think about how a baby needs to learn how to walk before they can run. It’s supposed to caution you about assuming you can just do something without learning the basics.
Down to earth – Practical
This describes someone who is known for being sensible and practical.
Eat like a bird – Small appetite
This is used to describe someone who doesn’t eat a lot.
Eat like a horse – Eat a lot
If you eat like a horse, you are eating a lot. You can “eat like a bird” most of the time but “eat like a horse” at a specific time because you are either very hungry or you really like the food.
Eat your words – Admit you were wrong
When you “eat your words” you are admitting that something you said earlier turned out to be wrong.
Every cloud has a silver lining – Things will get better
When you say this, you are telling yourself or someone else that you will get through your troubles.
Face the music – Face the consequences
When you “face the music”, you are owning up to a mistake and trying to make amends.
Find your feet – Adapt
When you are “finding your feet” you are learning how to adapt to a new situation, like a new job.
Follow in their footsteps – Imitate
This idiom is often used between children and their parents, but it can also refer to a mentor or someone you admire. If you “follow in someone’s footsteps”, you do the same thing that they did.
Food for thought – Something to think about
If you are given “food for thought” you have been given something to think about.
A frosty reception – To be unwelcome
If you received a “frosty reception”, you are not welcome.
Fly off the handle – Rages
You can use this idiom to describe someone who is visibly angry over a situation. Often this means that someone is shouting and maybe gesturing violently and even causing damage to property. It also implies that the angry reaction is disproportionate to the situation.
Get on with your life – Continue on after a setback
This is something you can say and should do after going through some problems.
Give them a run for their money – Compete
If you are competing with someone, you are giving them a “run for their money.”
Go Dutch – Split the bill
You can use this idiomatic expression when dining out with friends.
Go with the flow – Relax and get along
When you “go with the flow” you keep calm and just go along with whatever is happening around you.
Got off scot-free – Escaped
When you “get off scot-free”, you managed to escape any consequences for your actions.
The world's most customizable AI friend
Create my AI friend
Hard to swallow – Unbelievable
If someone told you something that you just can’t believe, they told you something that is “hard to swallow”.
Have your whole life in front of you – Young
Someone who has their whole life in front of them is young and full of promise.
Hold out an olive branch – Apologize
When you do this, you try to make amends or peace with someone you’ve hurt or angered.
In hot water – In trouble
This idiomatic expression can be used to say that you are in a less than ideal situation.
Inching forward - Making slow progress
When you say this, you’re saying things are proceeding slowly.
Keep on the straight and narrow – Keep out of trouble
When you say this, you are implying that you are going to live in a morally correct way.
Keep your chin up – Stay positive
Even if you’re going through a hard time, you should keep thinking positive.
Kicked the bucket – Died
This is an irreverent phrase to say that someone has died. Be careful how you use it.
Let the cat out of the bag – Spoiled the secret
You “let the cat out of the bag” when you accidentally let someone in on a secret that they weren’t meant to know.
Look up to – Respect
When you “look up to” someone you are acknowledging that you respect them and value their opinion.
Loaded – Rich
When you call someone “loaded” you are saying that they are rich.
Lost at sea – Confused
If a situation is making you feel confused or lost, this is the idiom to use.
Making ends meet – Careful budgeting
If you. don’t have much money, you need to “make ends meet”. This means you carefully budget what you do have to meet your needs.
Make a mountain out of a molehill –Exaggerate
This idiom is used to say that someone is being over-dramatic with their complaints or concerns.
Make waves – Change things
When you “make waves”, you change a situation dramatically. This can also mean that you caused trouble.
Nip in the bud – Stop
When you do this, you take action to keep a situation from getting worse.
No sweat – Easy
When you say “no sweat” you are saying that a task was easy
Not your cup of tea – Not something you like
If you say that something is “not your cup of tea” you are saying it’s not something you particularly like or enjoy.
Once in a blue moon – Rare
This implies something that either won’t happen or rarely happens.
Out in the open – Public knowledge
When something is “out in the open”, it is a matter of public knowledge.
Over the moon – Very happy
You can use this to describe the feeling of getting something you’ve been looking forward to for a long time.
On cloud nine – Very happy
Similar to being over the moon.
Packed like sardines – Crowded
If people are “packed like sardines” in a venue, they are standing very close together in a small space.
Piece of cake –Easy
If you say something is a “piece of cake” you are saying that it is easy.
Pitch in - Contribute
When you “pitch-in”, you work with a group of people to reach a common goal.
Point of view – An opinion
Your “point of view” is what you think about someone or a situation.
Pony up – Pay
If you are paying back a debt, you are “ponying up” the money.
Pour oil on troubled waters – Calm things down
This basically means that you played peacemaker and kept an argument from developing into a physical fight.
Put your head in the sand – Deny something unpleasant
When you have your “head in the sand”, you are deliberately ignoring a bad situation.
Rags to riches – Became rich
Someone who went from “rags to riches” was born poor or underprivileged, but is now in a better social position.
Rain or shine – No matter what
This idiomatic expression is used to express the idea that nothing will stop you.
Reap the rewards – Received the benefits
When you “reap the rewards”, you are getting the benefits of your good work.
Rings a bell – Sounds familiar
When you think that you’ve heard a piece of information before but are not so sure.
Rule of thumb – General practice
A “rule of thumb” is an unwritten rule that is followed by the majority.
Separate the wheat from the chaff – Decide what is valuable
This picturesque idiom refers to how, when you harvest wheat, you need to separate it from the stalks and leaves. So, it means that you pick out or choose what is valuable to keep.
Shell out money – Pay
When you “shell out money”, you pay for an item.
Sitting on the fence – Neutral
When you “sit on the fence” you are avoiding making a decision. Often, this is a decision between two people with different opinions.
Smart cookie – Smart person
You can use this idiom to describe someone intelligent.
Spice things up – Make things interesting
When you “spice things up” you do something to break out of your normal routine.
Spill the beans – Tell
When you do this, you tell someone something they didn’t know. It may or not have been a secret previously.
Sticky fingers – Thief
If you accuse someone of having “sticky fingers” you are basically calling them a thief.
Take a side – Choose who to support
When you “take a side” in an argument, you are agreeing with one of those arguing.
Throw light on – Explain something
When you “throw light on” a situation, you help make sure that it is understood.
To move at a snail’s pace – Move slowly
This is another idiomatic phrase that’s meant to paint a picture. A snail moves slowly, so to move at its pace means things are going slowly.
Tread carefully – Be cautious
This implies that a situation is fraught and it might be easy to offend those involved.
Under the table – Secretive
When you do something “under the table”, you are trying to do something so that only a small amount of people are aware of it. It’s commonly used to describe something that is possibly unscrupulous. For example, bribes are given “under the table”.
Undermine your position – Act unconvincingly
When you behave in a way that makes you and your opinion seem untrustworthy.
Up in the air – Uncertain
When you say something is “up in the air”, you are saying that you are not sure that an event is happening.
Weather the storm – Survive
When you “weather the storm”, you endure a bad situation.
When it rains, it pours – Trouble comes
This refers to the fact that sometimes, many bad things happen to people at one time.
So there you have it, 10 idiomatic expressions and their meanings. These idioms are used by native English language speakers to add some color to their daily speech.
friends Today first November saw bear room park questions too like sunny outside really door open letter nice brother watch movies iPad cookie pick up at mall sorry away watch movie This box from card came from cousin really cool trick! open happy blue or yellow as role as English teacher very important thinking house Who help get eyeglasses fail book shelf mom coming visit projects together about movie know where place live up mountains English teachers play golf learn year sorry think need lie down When see again Which these slippers are yours them give this them some give them some apples brought home people at mall today throw trash out into puppy ran into woods close your eyes see Did heard singing earlier your mum dad come party Could help with project now watch this cake better showed this bag shoes breakfast church read manual This home now two cheeseburgers more have some more milk shake these like these ribbons these ribbons first teacher also She was also best friend new have new shoes because am crying because I’m sad day Today National Friendship day more have more stickers at home use How use this no There’s no electricity now man There’s electrician outside looking rare unique furniture pearls dreams together well here Apple iPhone boots belong friend Macbook Microsoft EA tell which way go one She’s one he’s been waiting upset grandmother sick even She can’t even stand on own back I’ll right back Have had luck on your research good You’re good person woman That woman looks polished through Your faith see through tough times us go with us life This best day life child just saw child cross street by herself there Did go there work have go work down Let’s go down may take your seats after Let’s have dinner after work should buy this dress Call when get home okay world travel see world over can’t wait this day over school cousin goes school here think should go try nicer What’s that box as soon as get home I’m going start watching that Netflix Stan Hulu Roko series last This last slice cake promise! ask waiter bring some wine tonight! too need some wine too feel tired just need relax unwind three have three sisters when last time saw them state Check out state that shed roof falling apart never I’m never going drink wine again become Over years we’ve become really close between This just between high Give high five! really like your painting! something have something most She’s most beautiful girl I’ve ever seen another I’ll have another glass wine guys family are like family own get own place out Get out room leave put down that book listen old feel old! while wait here while shop mean didn’t mean sound angry on turn on lights keep keep lights on tonight student I’ve always been diligent student why This why don’t go out anymore kids! same shirt! big have celebrity big crush on Brad Pitt Taylor Swift Drake Kendrick William Bieber group sitting across table noisy huge project outgoing country Japan such beautiful country! help need help Math homework talk private where last night turn only could turn back time plenty person has own big goal fulfill start This great start learn English language hand Don’t let go hand might This might actually work American British French China culture dynamic show vacuum cleaner part This favourite part movie! about story about against am against domestic abuse! place This place wonderful! over She kept saying this over annoying person again play that game again few Just few more errands I’m done! case interesting case are working on now! most That’s most interesting story I’ve ever heard week had rough week company keep company going system What’s wrong with airport system each give each them apple right I’m right this time program This community program teens really helpful hear Did hear that so I’m sleepy question have question during session saw fall asleep work have work this weekend play play soccer next weekend instead government hope government does something about poverty this country run see bear here run your life small have small favour ask number have facebook youtube amazon weather walmart google wordle gmail target home depot google translate yahoo mail yahoo costco fox news starbucks food near me translate instagram Google maps walgreens best buy nba mcdonalds restaurants near me nfl amazon prime cnn traductor weather tomorrow espn lowes chick fil a news food zillow craigslist cvs ebay twitter wells fargo usps tracking bank of america calculator indeed nfl scores google docs etsy netflix taco bell shein astronaut macys kohls youtube tv dollar tree gas station coffee nba scores roblox restaurants autozone pizza hut usps gmail login dominos chipotle Google classroom tiempo hotmail aol mail burger king facebook login google flights sqm club maps subway dow jones sam s club motel breakfast english to spanish gas fedex walmart near me old navy fedex tracking southwest airlines ikea linkedin chase bank airbnb planet fitness spanish to english pizza google drive msn dunkin donuts capital one dollar general number favors ask off turn off television bring pepper spray with move Let’s move on next tourist spot like really like night night young live I’m going live like there’s no tomorrow Mr Morris here point have point believe hold Just hold hand today I’m going see today bring bring pen happen don’t submit your report on time next This next best thing without can’t live without phone go bed always wash face large There’s large amount data online about that topic all That’s all know about Dinosaurs million have million questions about this book must watch this movie together home go home now under hid it under bed water filled tub with water room at end corridor write prescription this mother very lovely woman area This area this house needs fixed national That virus has become national concern money She needs money buy medicine story She shared story media young She young hopeful fact It’s fact: shopping improve your mood month It’s that time month! different Just because she’s different it doesn’t mean she’s bad lot have lot explaining do right Turn right when reach corner study Let’s study English lessons together book borrow your English book eye She has pink eye job love job word Describe yourself one word are angry now I’m sure forget about this later business thriving issue This issue side Whose side are on anyway kind Always kind even strangers four There are four seasons year head Let’s head back it’s freezing out here far We’ve gone too far now we’re lost black She has long black hair long She has long brown hair both They both love chocolate ice cream little have two little boys with now house quiet without yes hope say yes after all this time has finally learned love since Ever since mom died has been cranky angry at world long That was such long time ago provide provide with list your services service have specific dental service treat this around went around block friend You’re good friend important You’re important father father important sit Let’s sit outside together away He’s away right when away power With great power comes great responsibility hour I’ve been checking temperature every hour game Let’s play game often buy from bakery as often as yet He’s yet home line There’s long line at grocery cashier political stay away from political discussions end It’s end era all pets Have ever tried this cake stand stand still minute bad did was bad lose can’t lose however buy this bag however need save up it first member She’s member babysitter’s club pay Let’s pay groceries law There’s law against jay-walking meet meet aunt car Let’s go inside car city This city that never sleeps almost I’m almost done with report include Did remember include summary your report continue continue working tomorrow set Great let set appointment later I’ll finish it later community community very tight knit much There’s much learn English language name What’s your name five give five reasons why need watch that video had puppy named Bark white love white sneakers least She’s least productive among all employees president She was class president back high school learn I’d love learn more about English language real real name change change that things get better team They hired team design their new office minute She’s laughing every minute every day best This best potato salad I’ve ever tasted several have several old clothes need donate idea It was your idea go beach remember kid loved that toy when was kid body She worked out hard achieve toned body information This information need nothing There’s nothing now ago Three years ago visited Japan first time right You’re right go back there lead Just lead way I’ll follow social feel awkward these social gatherings understand how feel big groups or small groups always feel little shy at first back Looking back knew was always introvert watch Let’s watch sun set on horizon together They’re together now follow I’ll follow home around You’ll always have around parent Every parent trying hard doing their best only are only allowed go out today stop stop that face Why your face red anything ask anything create Did create that presentation It was good public This public property already asked resend report speak Could speak little louder others others haven’t arrived yet read read somewhere that this house haunted level level are that game allow allow your kids play outside house add it okay add bit sugar tea office Welcome office spend How much did spend on your last shopping spree door left door open health must take good care your health person are good person art This work art sure Are sure this alone such are such brave little boy war war has finally ended history She history professor party Are going party tonight within support everyone within small community grow everyone grow thrive their careers result result this outreach program amazing open Are open teaching on weekends change Where change diaper morning It’s such beautiful morning! walk Come take walk with reason are reason came home low blood pressure has gotten really low win win this match work together research How your research going girl That girl class guy I’ve seen that guy school before early come work early every day food Let’s buy some food I’m hungry! before talk before go home moment moment she walked room puppy started jump dance again himself cooked this Turkey himself air am loving cold night air here teacher are best teacher ever force Don’t force play with other kids offer offer ride home enough Boys that’s enough playing today both both need change into your sleep clothes now education just get best education across Your dog ran across park although she felt tired she still couldn’t sleep remember think she still remember after ten years foot foot got caught one ropes second This second time she got late this month boy There’s boy class who keeps pulling have ice cream dessert toward took step toward able able send your report today age average marrying age these days off cat ran off with dog policy They have generous return policy everything Everything on sale love love you’re wearing! process Wait give time process everything you’re telling music love music including Around 20 people attended including Bob Beth consider hope consider project proposal appear How did that appear out nowhere actually I’m actually just heading out buy I’m going buy these shoes probably He’s probably still asleep human Give break only human wait it alright wait few minutes serve This blow dryer has served well years market Let’s visit Sunday market die don’t cat die let’s take vet send send package address expect can’t expect much from their poor service home can’t wait go home! sense did sense that something was okay build going build dream house stay stay with few weeks fall careful might fall oh Oh no left phone at home! nation have act as one nation plan What’s your plan this time cut Don’t cut your hair college met college interest Music interest mine death Death such heavy topic course course did take up college someone there someone who go with experience exciting experience! behind I’m scared check what’s behind that door reach can’t reach him won’t answer phone local This local business kill Smoking kill six have six books about Psychology remain These remain on top shelf effect Wow effect that mascara great! use use your phone yeah Yeah did call earlier suggest did suggest that class same English class control Where’s remote control raise It’s challenging discipline kids these days care don’t care about think perhaps Perhaps arrive at compromise little There’s little bird outside window late am running late doctor’s appointment hard That test was hard field He’s over there by soccer field else anyone else coming pass pass by grocery store former She was former housemate sell sell your old couch online major It’s major issue project sometimes Sometimes forget turn off porch lights require They’ll require show your I D along tag along your road trip development This news development really interesting themselves They take care themselves report read report it was great! role She’s going play role Elsa better Your singing has gotten much better! economic Some countries are facing economic crisis effort government must make effort solve this up grades have gone up decide decide where eat rate How would rate hotel’s service strong They have strong customer service here! possible Maybe it’s possible change their bathroom amenities heart heart full drug She got patent drug she has created cure cancer show show how solve this puzzle leader are wonderful leader light Watch face light up when mention name voice Hearing mom’s voice all need right now wife wife away weekend whole have whole house myself police police have questioned about incident mind This relaxation technique really eases mind finally finally move out from old apartment pull baby niece likes pull hair return give tickles return free best things life are free military dad military price This price pay lying report Did report this police less am praying less stress this coming new year according According weather report it’s going rain today decision This big decision explain I’ll explain everything later promise son son cute! hope hope I’ll have son one day even Even they’ve broken up they still remain friends develop That rash could develop into something more serious view This view amazing! relationship They’ve taken their relationship next level carry carry bag town This town extremely quiet road There’s road that leads edge woods drive can’t drive there need walk arm broke arm during practice true It’s true I’m leaving company federal Animal abuse now federal felony! break Don’t break law better better learn how follow rules difference What’s difference between happiness contentment thank forgot thank pie she sent us receive Did receive pie sent value value friendship much international Their brand has gone international! building This building tall! action next action going critical full work load full now model great leader great model how things join wants join soccer team season Christmas favorite season! society Their society holding fund raiser because I’m going home because mom needs tax How much current income tax director director yelled ‘Cut!' early I’m too early appointment position position your hand properly when drawing player That basketball player cute agree agree! cute! especially especially like blue eyes record record minutes this meeting pick Did pick color theme already wear that you’re going wear party paper use special paper your invitations special Some special paper are even scented! space leave some space write down your phone number ground ground shaking form new island was formed after that big earthquake support need your support this project event We’re holding big event tonight official official wedding photos are out! whose Whose umbrella this matter does it matter anyway everyone Everyone thinks stole that file center hate being center attention couple couple on their honeymoon now site This site big! end It’s end era project This project file due tomorrow hit hit burglar with bat base All moms are their child’s home base activity musical activity suggest toddler star son draw star! table saw draw it while was writing on table need need enroll good preschool court There’s basketball court near house produce Fresh farm produce best eat could eat that all day American sister dating American teach love teach English lessons oil Could buy some cooking oil at store half Just half liter situation situation getting out hand easy thought said this was going easy cost cost fuel has increased! industry fuel industry hiking prices figure government figure out how fix this problem face can’t bear face this horrendous traffic again again street Let’s cross street image There’s image stored inside mind itself bike itself pretty awesome phone Plus it has phone holder either either walk or commute work data How simplify this data cover Could cover during emergencies quite I’m quite satisfied with their work picture Picture this: lake cabin lots peace quiet clear That picture clear inside head practice Let’s practice dance number piece That’s piece cake! land Their plane going land soon recent This most recent social media post describe Describe yourself one word product This favorite product their new line cosmetics doctor doctor wall post this up on wall patient patient much pain now worker She’s factory worker news saw that on news test have pass this English test movie Let’s watch movie later certain There’s certain kind magic air now north Santa lives up north love l love Christmas! personal This letter very personal open Why did open read it support support simply simply won’t tolerate bad behavior third This third time you’ve lied technology Write about advantages technology catch Let’s catch up soon please! step Watch your step baby baby adorable computer turn on computer type need type your password attention have your attention draw draw this film That film absolutely mind-blowing Republican Republican candidate tree That tree has been there generations source are source strength red I’ll wear red dress tonight nearly nearly died that accident! organization Their organization doing great things street kids choose Let choose color cause have see cause effect this experiment hair I’ll cut hair short change look look at items bought point point all this century We’re living 21st century Mary evidence evidence clearly shows that guilty window I’ll buy window curtains next week difficult Sometimes life difficult listen have listen your teacher soon launch course soon culture hope they understand culture better billion target have 1 billion dollars account by end year chance there chance that this brother brother always have back energy Now put that energy into walking period They covered period twenty years course Have seen course already summer I’ll go beach summer less Sometimes less more realize just realize that have meeting today hundred have hundred dollars that lend available am available work on your project plant Plant seed likely It was likely deer trail opportunity It was perfect opportunity test theory term I’m sure there’s Latin term it short It was just short stay at hotel letter already passed letter intent condition know condition am choice have no choice place Let’s meet out at meeting place single am single parent rule It’s rule law daughter knows how read now administration take this up with administration south am headed south husband just bought ring birthday Congress It debated at Congress floor She floor manager campaign handled their election campaign material She had nothing material report population population nearest big city was growing well wish well call am going call bank economy economy booming medical -She needs medical assistance hospital I’ll take nearest hospital church saw church last Sunday close -Please close door thousand There are thousand reasons learn English! risk Taking risk rewarding current your current address fire Make sure your smoke alarm works case fire future -The future full hope wrong That wrong answer involve need involve police defense your defense or reason did this anyone Does anyone know answer increase Let’s increase your test score security Some apartment buildings have security bank need go bank withdraw some money myself clean up by myself certainly certainly help clean up west drive West arrive California sport favorite sport soccer board see board seek Seek find per Lobster $20 per pound subject favorite subject English! officer Where find police officer private This private party rest Let’s take 15 minute rest behavior This dog’s behavior excellent deal used car good deal performance Your performance affected by your sleep fight don’t fight with throw German ball! top are top student quickly Let’s finish reading this quickly past past English was as good as it today goal speak English fluently second second goal increase confidence bed go bed around 10pm order would like order book author author this series world-famous fill need fill (up) gas tank represent represent family focus Turn off your phone TV focus on your studies! foreign It’s great having foreign friends drop don’t drop eggs! plan Let’s make plan blood hospital needs people give blood upon Once upon time princess lived castle agency Let’s contract agency help with marketing push door says ‘push ’ ‘pull ' nature love walking nature! colou color blue no ‘No’ one shortest complete sentences recently cleaned bathroom most recently think it’s your turn this time store I’m going store buy some bread reduce reuse recycle are ways help environment sound like sound wind chimes note take notes during lesson fine movie let’s buy popcorn! near Near far wherever are believe that heart goes on movement environmental movement international movement page turn page 62 enter enter building on left share Let share idea than Ice cream has more calories than water common Most people find something common with each other poor had poor harvest this year because it was dry other This pen doesn’t work try other one natural This cleaner natural there aren’t chemicals it race watched car race on TV concern Thank your concern but I’m fine series your favorite TV series significant job earns significant amount money similar These earrings don’t match but they are similar hot Don’t touch stove it’s still hot language Learning new language fun each Put flower each vase usually usually shop at corner store response didn’t expect response come soon dead phone dead let charge it rise sun rise at 7:00 a m animal kind animal that factor Heredity factor your overall health decade I’ve lived this city over decade article Did read that newspaper article shoot wants shoot arrows at target east Drive east three miles save save all cans recycling seven There are seven slices pie left artist Taylor Swift recording artist away wish that mosquito would go away scene painted colorful street scene stock That shop has good stock postcards career Retail sales good career some people despite Despite rain still have picnic central There good shopping central London eight That recipe takes eight cups flour thus haven’t had problems thus far treatment propose treatment plan your injury beyond town just beyond those mountains happy Kittens make happy exactly Use exactly one teaspoon salt that recipe protect coat protect from cold weather approach cat slowly approached bird lie Teach your children lie size size that shirt dog think dog good pet fund have savings fund college serious She serious she never laughs occur Strange things occur that empty house media That issue has been discussed media ready Are ready leave work sign That store needs bigger sign thought I’ll have give it some thought list made list things do individual buy individual or group membership simple appliance comes with simple instructions quality paid little more quality shoes pressure There no pressure finish right now accept accept credit card answer Give your answer by noon tomorrow hard That test was very hard resource library has many online resources identify can’t identify that plant left door on your left as approach meeting We’ll have staff meeting after lunch determine Eye color genetically determined prepare I’ll prepare breakfast tomorrow disease Face masks help prevent disease whatever Choose whatever flavor like best success Failure back door success argue It’s good idea argue with your boss cup Would like cup coffee particularly It’s particularly hot outside just warm amount It take large amount food feed elephant ability has ability explain things well staff There are five people on staff here recognize recognize person this photo indicate reply indicated that she understood character trust people good character growth company has seen strong growth this quarter loss farmer suffered heavy losses after storm degree Set oven 300 degrees wonder wonder Bulls win game attack army attack at dawn herself She bought herself new coat region internet services are your region television don’t watch much television box packed dishes strong box TV There good movie on TV tonight training company pay your training pretty That pretty dress trade stock market traded lower today deal got good deal at store election Who think win election everybody likes ice cream physical Keep physical distance six feet lay baby crib general impression restaurant was good feeling have good feeling about this standard standard fee $10 00 bill electrician send bill message have text message on your phone fail fail see funny about that outside cat goes outside sometimes arrive When your plane arrive analysis I’ll give analysis when I’ve seen everything benefit There are many health benefits quinoa name What’s your name sex know sex your baby yet forward Move car forward few feet lawyer legal helped write present everyone present meeting begin section stadium are sitting environmental science economy politics political politician issues are news glass much heavier than plastic answer Could answer question skill best skill woodworking sister lives close PM movie starts at 7:30 PM professor Dr Smith professor operation mining operation employs thousands people financial keep accounts at financial institution crime police fight crime stage caterpillar larval stage butterfly ok Would it ok eat out tonight compare should compare cars before buy one authority City authorities make local laws miss you when see again design need design new logo sort Let’s sort these beads according color one only have one cat act I’ll act on your information today ten baby counted ten toes knowledge have knowledge fix that gun Gun ownership controversial topic station There train station close house blue favorite color blue state After accident was state shock strategy new corporate strategy written here little prefer little cars clearly instructions clearly written discuss We’ll discuss that at meeting indeed Your mother does indeed have hearing loss force It takes lot force open that door truth tell truth song That’s beautiful song example need example that grammar point democratic Does Australia have democratic government check check work sure it’s correct environment live healthy environment leg boy broke leg dark Turn on light it’s dark here public Masks must worn public places various That rug comes various shades gray rather Would rather have hamburger than hot dog laugh That movie always makes laugh guess don’t know just guess executive company’s executives are paid well set Set glass on table study needs study test prove employee proved worth hang hang your coat on hook entire ate entire meal 10 minutes rock There are decorative rocks garden design windows don’t open by design enough Have had enough coffee forget Don’t forget stop at store since She hasn’t eaten since yesterday claim made insurance claim car accident note Leave note you’re going late remove Remove cookies from oven manager manager look at your application help Could help move this table close Close door sound dog did make sound enjoy enjoy soda network Band name internet network legal legal documents need signed religious She very religious she attends church weekly cold feet are cold form fill out this application form final divorce was final last month main main problem lack money science studies health science at university green grass green memory has good memory card They sent card birthday above Look on shelf above sink seat That’s comfortable seat cell Your body made millions cells establish They established their business 1942 nice That’s very nice car trial They are employing on trial basis expert Matt IT expert that Did see that movie spring Spring most beautiful season firm ‘no was very firm she won’t change mind Democrat Democrats control Senate radio listen radio car visit visited museum today management That store has good management care She cares mother at home avoid should avoid poison ivy imagine imagine pigs could fly tonight Would like go out tonight huge That truck huge! ball threw ball dog no said ‘no ’ don’t ask again close Close window finish Did finish your homework yourself gave you