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ByteDance ships Seed1.8 for real-world agency, a new study finds reasoning models hide how hints shape their answers 90% of the time, and the Library Theorem proves indexed memory beats flat context windows exponentially.
Three arXiv papers push AI agents further: metacognitive self-modification, milestone-based RL lifting Gemma3-12B from 6% to 43% on WebArena-Lite, and hybrid workflows cutting inference costs 19x.
Terence Tao argues AI has cut the cost of mathematical idea generation to near zero, but verification remains as hard as ever - and our existing academic infrastructure wasn't built for what comes next.
Three new papers expose a gap between what AI models know and what they do - and why that gap is harder to close than anyone assumed.
OpenAI's chief scientist Jakub Pachocki has laid out a two-stage plan to deploy an autonomous AI research intern by September 2026 and a full AI researcher by March 2028, backed by $1.4 trillion in planned compute spending.
Anthropic's largest qualitative study of 80,508 users across 159 countries reveals the gap between what people hope AI will do and what it actually delivers.
Three arXiv papers rethink transformer theory, expose fatal flaws in in-context LLM memory, and introduce grey-box agent security testing.
Three new arXiv papers tackle constitutional AI rule learning, sleeper agent defense for multi-agent pipelines, and skill-evolving reinforcement learning for math reasoning.
A 1-trillion-parameter model called Hunter Alpha appeared anonymously on OpenRouter on March 11. Developers say it's DeepSeek V4 in disguise. The signals are strong but the precedent cuts both ways.
New research shows enterprise AI agents top out at 37.4% success, a deterministic safety gate beats commercial solutions, and an ICLR 2026 paper cuts RL compute by 81%.
Three new papers expose cracks in how AI models think, how benchmarks evaluate multimodal reasoning, and why LLM judges reliably mislead.
Percepta AI compiled a WebAssembly interpreter into transformer weights, executing programs deterministically at 33K tokens/sec on CPU - but the community is skeptical about the practical value.
