AGI in 6-12 months, workers being replaced in the 1-2 Years
ETHICS
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Code as Ephemeral Artifact: Rethinking Software Philosophy
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my intentionally positive reading: garry treats the code itself as ephemeral. like one would treat log file entries. a artifact of an original intent. a figment in time. and that idea explored by itself is worth a journey. my normal reading: yo wtf. that mindset will soon be
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Scaling Speed and Trust: AI Governance in the Modern Era
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How do we build systems where speed and trust can scale together?
— Helen Yu (@YuHelenYu) 31 mars 2026
I explored this with @MichaelLeland, field CTO of #island at RSA and it’s the challenge of the AI era.
AI is now an actor. Fast, boundaryless, and creating risks most orgs don’t yet see (hello, shadow AI +… pic.twitter.com/1WfASpKGtKHow do we build systems where speed and trust can scale together? I explored this with @MichaelLeland, field CTO of #island at RSA and it’s the challenge of the AI era. AI is now an actor. Fast, boundaryless, and creating risks most orgs don’t yet see (hello, shadow AI + agents). We unpack: • AI governance where work happens • “No” → “Yes, but” security • AI-first architecture 👉 Watch: piped.video/GT5M1CQ4J54 Check out demos of Island's new AI products here: island.io/ai/?utm_medium=pai… #RSAC #Cybersecurity #AI #Governance #IslandPartner #RiskManagement
→ View original post on X — @yuhelenyu, 2026-03-31 06:34 UTC
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New Practical Guide to Reinforcement Learning from Human Feedback Released
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
AI adoption lag in scientific publishing systems
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The fact that every scientific paper in 2026 is still uploaded only as fully formatted PDFs to academic archive sites that often limit downloads tells you everything you need to know about how quickly the scientific system is adjusting to the potential of AI to accelerate science
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DeepSeek AI authorship and authenticity concerns
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It’s not too late to admit that DeepSeek wrote this for you so people don’t think you’re actually stupid.
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Neural Net Pioneers’ Fight for Recognition and Credit
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They "don't spend time worrying about this kind of credit" because, nowadays, they don't need to. There was a time things were v different, and neural net pioneers had to really fight to get any appreciation.
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Mind Meld Bottleneck: Knowledge Gap Between Humans and LLMs
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Banger tweet, i think about it often because i feel it becoming a bottleneck. what's in my brain is "private" information for the LLM – it doesn't know what I know or don't know and I don't know what I don't know… The mind meld is only medium effective.
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Lambda Calculus for Safe Code Generation
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λ-RLM flips the approach.
Instead of letting the model generate arbitrary code, it runs a typed functional runtime grounded in lambda calculus. Think: a fixed library of pre-verified operations (SPLIT, MAP, REDUCE). The model only handles small, bounded leaf problems.