The three-case framework is the right way to think about this. Regression, intentional optimization, and user psychology are genuinely distinct problems with different implications.
SAFETY
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API Keys Exposed on GitHub: Growing Developer Security Risk
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Exposed API keys on GitHub is not new. The volume of it is new. Every week of vibe coding produces more developers who have never thought about secrets management.
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AI Code Generation Limits: Understanding System Complexity
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AI is very good at generating plausible code. It is less good at understanding your specific system, your edge cases, and the three legacy decisions made in 2019 that everything now depends on.
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AI System Failures: Why Prevention Matters More Than Recovery
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A blank screen after 45 minutes has zero recovery rate. A mediocre behavioral answer still passes. That asymmetry is the whole reason to take this seriously now.
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AMD Telemetry Dataset Reveals Anthropic Changes Confirmation
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An AMD director with 7,000 sessions of telemetry is not vibes. That's a dataset and Anthropic admitting to the changes after the data dropped is the confirmation that matters.
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The Moral Paradox of AI: Why We Must Adopt What Might Replace Us
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The Moral Paradox of AI: Why we must adopt what might replace us… By Manu Khetan via @ForbesTechCncl forbes.com/councils/forbeste… @BetaMoroney @Nicochan33 @enilev @mvollmer1 @mikeflache @antgrasso @FrRonconi @ramonvidall @baski_LA @AkwyZ @Khulood_Almani @sijlalhussain @PawlowskiMario @pierrepinna @sonu_monika @efipm @mvollmer1 @sallyeaves @NevilleGaunt @Corix_JC @enricomolinari @Shi4Tech @wcrpaul @RagusoSergio @RLDI_Lamy @NigelTozer @EstelaMandela @JagersbergKnut @DrFerdowsi @PerBBerggreen @sir4K_zen @AmitChampaneri1 @FmFrancoise @MasterofIoT @dcallahan2 @globaliqx @HLStockenstrom @TheAdityaPatro @ILoveBooks786 @Hana_ElSayyed @CurieuxExplorer @HaroldSinnott @MikeNashTech @SegundoConnect @pchamard @trudydarwin
→ View original post on X — @mvollmer1, 2026-04-13 06:20 UTC
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LLMs Fairness and Consistency in AI Model Evaluation
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Are LLMs truly fair and consistent when judging other AI models? A collaborative team from Peking University, NUS, Institute of Science Tokyo, Nanjing University, Carnegie Mellon, Westlake, and Southeast University has the answer! They introduce TrustJudge, a probabilistic
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Robotics and AI Transform Facility Operations Safely
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#Robotics and #AI Transform Facility Operations with Safer, Faster, #Data-Driven Insights
— Ronald van Loon (@Ronald_vanLoon) 13 avril 2026
by @BostonDynamics#Robots #ArtificialIntelligence #Innovation #Technology pic.twitter.com/Z68uv3Jww3#Robotics and #AI Transform Facility Operations with Safer, Faster, #Data-Driven Insights
by @BostonDynamics #Robots #ArtificialIntelligence #Innovation #Technology -
Sketchy demonstration: prompts fed vulnerabilities to small model
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That particular demonstration was pretty sketchy, the prompts appeared to feed the small model the exact vulnerabilities.
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AGI Derangement Syndrome: Common Cognitive Biases About AI
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Symptoms of AGI derangement syndrome:
– Mistaking incremental progress for AI breakthroughs
– Believing AI will instantly solve all problems
– Fearing a jobs apocalypse is imminent
– Obsessing about humanity's extinction
What else?