.@AIatMeta clarified a concept we strongly support – human and AI co-improvement. When building AI systems that work with human researchers at every step – from ideas to experiments – we can create safer intelligence and tech. Here is how to train AI specifically for research

https://t.co/7Z087LGucj

.@AIatMeta clarified a concept we strongly support – human and AI co-improvement. When building AI systems that work with human researchers at every step – from ideas to experiments – we can create safer intelligence and tech. Here is how to train AI specifically for research

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What we have – and what we can carry from 2025 into 2026 – in reinforcement learning? ▪️ RLHF became classic ▪️ But there's also a shift from human to AI judgement with RLAIF ▪️ RLVR – a promise that faces significant controversy ▪️ Though @karpathy says that RL is overall

@karpathy Follow @TheTuringPost for more. Get deep analysis, guides & breakdowns of what AI is about now. Join 100,000+ readers from top AI labs, VC funds & universities.:

Were you right a year ago? Let's see! Revisiting our early-2025 predictions Last December, we made a bold bet: 2025 would be the "Year of Inference-Time Search." Looking back, that prediction defined the entire year. ⬇️ 1. The Big Win: The "Thinking" Shift @fchollet nailed

OpenAI promises: we are just getting started. It actually made me tingle. Happy 10 years. For many more incredible AI developments to come!

What we have – and what we can carry from 2025 into 2026 – in reinforcement learning? ▪️ RLHF became classic ▪️ But there's also a shift from human to AI judgement with RLAIF ▪️ RLVR – a promise that faces significant controversy ▪️ Though @karpathy says that RL is overall

Were you right a year ago? Let's see! Revisiting our early-2025 predictions Last December, we made a bold bet: 2025 would be the "Year of Inference-Time Search." Looking back, that prediction defined the entire year. ⬇️ 1. The Big Win: The "Thinking" Shift @fchollet nailed

Follow @TheTuringPost for more. Get deep analysis, guides & breakdowns of what AI is about now. Join 100,000+ readers from top AI labs, VC funds & universities.:

Must-read AI research of the week: ▪️ AI & Human Co-Improvement for Safer Co-Superintelligence ▪️ DeepSeek-V3.2 ▪️ Guided Self-Evolving LLMs with Minimal Human Supervision ▪️ retrainZero: Reinforcement Active Pretraining ▪️ Rectifying LLM Thought from Lens of Optimization ▪️ On

This Google paper presented at #NeurIPS2025 is a true gem. In their search for a better backbone for sequence models, they: • Reframe Transformers & RNNs as associative memory systems driven by attentional bias • Reinterpret "forgetting" as retention regularization, not as

When everyone flew to NeurIPS, I went to Art Basel Miami to see how AI is doing in the wild (art). Why it’s good when machines hallucinate, and how much a robodog with Elon Musk’s head costs ↓

Follow @TheTuringPost for more. Get deep analysis, guides & breakdowns of what AI is about now. Join 100,000+ readers from top AI labs, VC funds & universities.:

@CarinaLHong @axiommathai Follow @TheTuringPost for more. Get deep analysis, guides & breakdowns of what AI is about now. Join 100,000+ readers from top AI labs, VC funds & universities.:

You can also watch it on YouTube: https://t.co/6tCdUrYPnd Don't forget to like, comment and subscribe :)

When everyone flew to NeurIPS, I went to Art Basel Miami to see how AI is doing in the wild (art). Why it’s good when machines hallucinate, and how much a robodog with Elon Musk’s head costs ↓

One more resource on AI coding for you — our analysis of the current state of AI software:

https://t.co/AHyICvaNb8

A must-read → A Comprehensive Survey and Practical Guide to Code Intelligence Covers: - Full lifecycle of code LLMs: data, pre-training, SFT, RL, prompting - General vs. specialized code models - Key challenges: security, large context, real-world workflows - Design choices -