aibubble photos on Flickr

“I will never forgive them for what they did to the computer” —Ed Zitron on the #enshittification of Computing 💩 by Dunk 🐝

For Zitron, however, the rot is everywhere. Similar to the concept of “enshittification”, coined by fellow blogger Cory Doctorow to describe the decaying state of the modern internet, he obsesses over the downward spiral of technology and the economic forces responsible: AI slop, aggressive algorithms, tech titans “in a race to the bottom to bleed users” for their data. (Doctorow has appeared as a guest on Zitron’s podcast along with a string of other influential business commentators.) Zitron’s essays offer a bleak diagnosis of the US technology industry, late-stage capitalism, the media and politics. Executives chase trends, investors reward vibes, journalists don’t ask difficult questions.

Ed Zitron is mad as hell: How a British-born hobbyist blogger became one of Big Tech's punchiest critics on.ft.com/3JkJdrh

Ed Zitron Gets Paid to Love AI. He Also Gets Paid to Hate AI www.wired.com/story/ai-pr-ed-zitron-profile

Ed Zitron is an English author, podcaster, and public relations specialist. He is a critic of the big tech, particularly of generative artificial intelligence. He hosts the Better Offline podcast, and writes the Where's Your Ed At newsletter. en.wikipedia.org/wiki/Ed_Zitron

CC BY portrait of Zitron from the Web Summit on Wikimedia Commons w.wiki/Frp5

M-AI-NCHESTER? Betting the House on AI with Alan Turing in #Manchester by Dunk 🐝

“AI at Manchester: It began here – with Turing’s seminal paper on AI. Now, we're shaping the future.” according to www.manchester.ac.uk/research/ai

“75 years on from the 'Turing Test', Manchester leads the way in AI research and innovation” according to www.manchester.ac.uk/about/news/turing-test-university-of-manchester-75-anniversary

Personal AI blog by Gareth Wong (pix.pictour.org)

We talk a lot about what AI can do, but not enough about what it depends on.

In the first three editions of the Personal AI blog, I explore the layers that shape our future: from the intimate decisions of our own digital selves to the invisible infrastructures holding entire nations together.

🔹 Edition #1 Personal AI:

How do we align AI with who we truly are — not just what we click or say?

Trust, transparency, and identity are no longer optional. AIBubble.1kai.org

🔹 Edition #2 Sovereign AI 2.0:

When governments build “sovereign” AI on foreign clouds, who really holds the keys?

Two major outages revealed how fragile our digital foundations have become and what real resilience requires. SovereignAI.1Kai.org

🔹 Edition #3 (live later this week) Layers of AI:

Who’s building the future, who’s bluffing, and who will survive the crash?

A map of the entire AI stack — from foundation models to the missing trust layer that will decide who endures when the hype fades.

Together, these editions ask one question:

If AI now shapes our lives, our economies, and our nations: what will it take to make it truly sovereign, secure, and human-aligned? AILayers.1kai.org

👉 Dive into all three editions: ai.1kai.org

Why the AI Bubble Will Burst; how to get ready, what to Build From the Ashes by Gareth Wong (pix.pictour.org)

Personal AI Newsletter, 1st edition. From hallucination to verification : because AI’s next leap isn’t intelligence, it’s integrity.

full blog post below: 👇

AIBubble.1Kai.org/

We may be living through one of the most extreme misallocations of capital in tech history ; billions poured into AI infrastructure with uncertain returns.

Estimates suggest the AI industry must generate $2trillion+ in revenue annually just to cover existing infrastructure costs. David Crawford lnkd.in/eQSHTUrq

But there’s a more fundamental fault line: TRUST

AI systems are often confident but uncertain (outright lie/hallucinate): they produce fluent outputs even when wrong. That’s the paradox at the heart of this boom: machines that can say anything yet rarely verify anything. (Let alone held accountable! Because getting it wrong is a given!)

I’ve spent more than two decades developing a solution beyond hype: authenticated identity, personal AI, and a verifiable confidence layer.

→ Join the builders ready to rise from the ashes (when the bubble will burst) and create a truly trusted Personal AI. Interested? Want to contribute? Signup.Only4me.org

hashtag#PersonalAI hashtag#AITrust hashtag#TrustLayer hashtag#DigitalSovereignty hashtag#AIEthics hashtag#AITransparency hashtag#TechForGood hashtag#VerifiedAI hashtag#FutureOfAI

or you are welcome to read the full blog post below first: 👇

AIBubble.1Kai.org/

Urgent Update: Is the AI Bubble Bursting Sooner Than You Think? | 2025 Financial Analysis by Shivam Singh

The AI gold rush may be ending. 📉 Sky-high valuations, disappointing revenues, and regulatory heat are pointing to a major correction. Is the AI bubble about to burst? #AIBubble #Fintech #Investing #TechCrash #Finance

www.cent.capital/news/tech/ai-machine-learning-finance/ai...

2026 AI Crash: Complete Investor Survival Guide to the AI Bubble by Shivam Singh

WARNING: Is the AI boom a bubble waiting to burst? Overvaluation, algorithmic herding & regulatory hammers could trigger a 2026 crash. Don't get caught off guard. Your investor survival guide is here. #AIBubble #Investing #MarketCrash #Finance

www.cent.capital/news/tech/ai-machine-learning-finance/20...

AI Boom or Bubble? 10 Signs Investors Must Know. #ai #artificialintelligence #technology… by EconFiX Explained .

AI Boom or Bubble? 10 Signs Investors Must Know.

#ai #artificialintelligence #technology

Artificial Intelligence has become the obsession of our time.

Every headline, investor pitch, and boardroom strategy seems to revolve around two letters: A.I.

But with billions pouring into data centers, chips, and models, one question keeps surfacing — is this real transformation, or the start of another tech bubble?

In this video, we break down the 10 Levels of the New Tech Hype, revealing how today’s AI boom mirrors past manias like the dot-com and crypto eras — and what that means for the future of innovation, investment, and global competition.

From massive infrastructure spending and circular financing loops to geopolitical rivalry and physical limits of the AI economy, this deep-dive explores both sides of the AI story — the hype and the quiet transformation beneath it.

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