def one of the big leaps since the cloudy NeRF days — @lichtfeldstudio really does have the best methods an dials rn!
INNOVATION
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Against Generative AI: Is Art the Last Refuge of Our Humanity?
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Against Generative AI: Is Art the Last Refuge of Our Humanity?
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso -
Generational upgrade of evals/analytics into continual learning platforms
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every evals/analytics startup is going through a onetime generational upgrade into a continual learning platform in 2026 many will fail but as always the tasteful ones win
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Rational conversation on AI future with Benedict Evans
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A rational conversation on where AI is actually going with @benedictevans For 20+ years, Benedict has been one of the clearest, most reliable thinkers on where technology is heading, and how it'll impact our lives. He was @a16z
's resident "thinker" for 5+ years, and has spent -
Solving a multi-agent management problem with Google DeepMind
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It's been almost 1 and a half years that I can't solve a multi-agent cohort management problem and now I just came across a library from @GoogleDeepMind released 2 months ago that offers an ultra elegant approach. Damn, this company is really the boss.
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Karpathy’s brain ingestion paradigm: A scalable pattern for various applications
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Karpathy's second brain ingestion paradigm, where you have a folder to dump your raw data into and then an agent processes and structures it to add it to a wiki or second brain, is a scalable pattern for so many other applications. In my case, for example, I already had a
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FlashAR speeds up AI image generation 22x without retraining
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What if you could speed up AI image generation by 22x without retraining from scratch? Researchers from Zhejiang University and the University of Adelaide introduce FlashAR. They add a lightweight vertical prediction head to existing autoregressive models, enabling parallel
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AI Agents: Orchestrating Multiple LLMs for Enhanced Capabilities
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AI Agents ≠ single LLM They’re systems of models • General LLMs → reasoning
• Domain LLMs → expertise
• RAG → real-time data
• Tools → actions & automation
• Open-source → control & privacy Real power = orchestration of multiple LLMs Via Giuliano Liguori -
AI agents process manufacturing data at scale, speed, and compliance.
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Agents process manufacturing data at scale and speed no human could match while maintaining regulatory compliance.
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From Apprenticeship to Agentic Orchestration: Digital Workers as the Primary Engine
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This represents a transition from slow apprenticeship to agentic orchestration where digital workers become the primary engine.