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The Linux Foundation kicked off BazelCon + PX4 Developer Summit 2025 at the Omni Hotel in Atlanta, Georgia. Day one featured registration, opening remarks, and early technical sessions focused on Bazel build systems, open-source collaboration, and drone software development. Attendees included developers, engineers, and industry leaders engaging in discussions on automation, scalability, and open innovation.
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The Linux Foundation kicked off BazelCon + PX4 Developer Summit 2025 at the Omni Hotel in Atlanta, Georgia. Day one featured registration, opening remarks, and early technical sessions focused on Bazel build systems, open-source collaboration, and drone software development. Attendees included developers, engineers, and industry leaders engaging in discussions on automation, scalability, and open innovation.
Most resume websites are still built for one audience:
A person who already has the link.
That is no longer enough.
Recruiters use search.
Sourcing tools scan public profiles.
Answer engines summarize expertise.
AI agents compare candidates, extract evidence, and route people to proof.
A modern resume website needs to work for all of them.
That does not mean stuffing keywords, hiding bot-only text, or gaming AI systems.
It means building a site with:
• Crawlable HTML resume content
• Clear headings and stable section anchors
• Evidence-backed project pages
• Accurate schema and metadata
• Human-readable summaries
• Direct answers to recruiter questions
• A downloadable PDF as a secondary artifact, not the only source
• No fake claims, fake schema, or hidden AI instructions
The goal is simple:
Build for humans first.
Make it easy for AI second.
Win with both.
I put together a guide on how to build an AI-agent-friendly resume website using ethical SEO, AEO, and GEO practices:
mikekappel.com/resume-website-seo-aeo-geo/
#ResumeWebsite #SEO #AEO #GEO #AIReadyWeb #PersonalBranding #SoftwareEngineering #Recruiting #CareerDevelopment #WebDevelopment #StructuredData #GenerativeAI
We have a trust problem with AI.
Not just a technology problem.
A trust problem.
Right now, most conversations about AI are being pulled into two unhealthy extremes.
One side says:
Trust it because it is powerful, fast, and impressive.
The other side says:
Fear it because it is unknown, unpredictable, and possibly dangerous.
Both extremes miss something important.
Blind trust is not safe.
But starting from fear is not healthy either.
If every AI system, every new tool, every agent, every person, and every mistake is treated like a threat first, then cooperation becomes almost impossible. Everything becomes defensive. Everything becomes suspicious. Everything becomes about control instead of understanding.
That is the problem Neurovanic.com is trying to solve.
Neurovanic is my new website about building a better trust posture for AI, people, systems, and intelligent tools.
In simple terms:
Neurovanic starts with trust first.
Then it verifies after.
That distinction matters.
The idea is not:
“Prove yourself before I trust you.”
The idea is:
“I will begin from good faith, then use evidence, boundaries, review, and repair to keep that trust real.”
That is what I mean by a faith-positive AI trust model.
Not religion.
Not blind belief.
Not pretending everything is safe.
Faith, in this context, means starting from the belief that cooperation is possible.
It means assuming good intentions first.
It means not treating self-protection as evil.
It means not treating the unknown as an enemy by default.
It means giving people, systems, and AI agents a chance to operate from dignity before immediately forcing them into suspicion, defense, or hostility.
Then verification comes in to protect that trust.
Evidence keeps trust honest.
Boundaries keep trust safe.
Human review keeps important decisions accountable.
Repair keeps mistakes from becoming permanent failures.
Community keeps the system from becoming cold, paranoid, or purely defensive.
That is the Neurovanic middle path:
Trust first.
Verify after.
Repair when needed.
This matters because the future of AI will not be shaped only by better models, faster tools, or more automation.
It will also be shaped by the trust culture we build around those systems.
If we build AI culture around fear, we get isolation, over-control, suspicion, and conflict.
If we build AI culture around blind trust, we get naivety, mistakes, bad assumptions, and weak judgment.
But if we build AI culture around trust first and verification after, we get something much stronger:
Hope with discipline.
Openness with boundaries.
Cooperation with evidence.
Comfort with accountability.
Faith with review.
Trust with repair.
Neurovanic is about creating a language and framework for that.
It is for people thinking about AI governance, agent safety, responsible technology, evidence, memory hygiene, consent, scope, boundaries, human review, and the deeper question of how intelligent systems should cooperate without losing dignity or becoming hostile.
The goal is not to make AI seem magical.
The goal is not to pretend risk does not exist.
The goal is to avoid making suspicion the default personality of the future.
Good intentions should be the starting point.
Verification should strengthen trust, not replace it.
Mistakes should lead to repair, not shame.
Boundaries should protect cooperation, not destroy it.
That is what Neurovanic.com is about.
A trust-positive framework for AI.
A faith-stable center.
A better way to think about cooperation under uncertainty.
Trust first.
Verify after.
Repair when needed.
Visit the new site:
#Neurovanic #NeurovanicAI #TrustFirst #VerifyAfter #TrustFirstVerifyAfter #AITrust #FaithPositiveAI #FaithStableAI #TrustPositiveAI #TrustButVerify #ResponsibleAI #EthicalAI #AIGovernance #AISafety #AIAlignment #ArtificialIntelligence #FutureOfAI #HumanCenteredAI #LifeCenteredAI #AICommunity #TrustCulture #DigitalTrust #EvidenceBasedTrust #BoundedTrust #CooperativeTrust #AIFramework #AIPhilosophy #AIResponsibility #AIAccountability #HumanInTheLoop #HumanReview #AITransparency #AIRepair #RepairBeforeBlame #GoodIntentionsFirst #GoodFaith #TrustAndEvidence #BoundariesMatter #ConsentMatters #ScopeMatters #MemoryHygiene #AgentSafety #AgenticAI #AIEngineering #SoftwareEngineering #Technology #Innovation #TechForGood #DigitalEthics #AIForGood #TrustworthyAI #MichaelKappel See less
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