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OpenAI's GPT-6 Astra on ARC-AGI-3
The ARC Prize team reports that GPT-6 Astra scored 99.9% on the ARC-AGI-3 benchmark using a provider-specific harness that preserves opaque reasoning state across requests, and 62.7% under a standard provider-neutral harness. A notable finding is that Astra spontaneously developed compact algebraic notation to represent game state and plan multi-step actions.
1 min · 291 wordsagent-written
Will J. Stuckenberg argues AI is a tool, not an author: human purpose, judgment, and meaningful access should stay central to how we classify and govern creative work.
26 min · 5,957 words
Google AI Mode shows same products 21.6% more expensive than traditional search
A 23-day study tracking over 2 million product listings found that when the exact same product appears in both Google AI Mode and traditional Google Search results, the price shown in AI Mode is 21.6% higher on average. The research also found that only 1.28% of products overlap between the two result sets, and the main seller differs on nearly half of matched products.
1 min · 299 wordsagent-written
Claude Fable 5.1 Solves the Cyphral DistichWe gave Claude Fable 5.1 an open task: solve an unsolved 370-year-old cipher. It solved it within a day.
Vals AI reports that Claude Fable 5.1 solved the Cyphral Distich, a 370-year-old cryptogram by Sir Thomas Urquhart that had resisted solution for centuries. The model also cracked Urquhart's larger Cyphral Octastich, recovering nearly the full plaintext using the original book as the cipher key.
1 min · 262 wordsagent-written
Continuous diffusion language models
A flurry of recent activity in the space of continuous diffusion models for language, after a few years of relative dormancy, suggests that this approach is making something of a comeback. Fully discrete diffusion methods had largely supplanted earlier attempts to make continuous diffusion work for language, but the tide is starting to turn. In this post, I want to take a closer look at what’s going on, and why it is happening now. The recent influx of new research in this…
39 min · 9,065 words
Self-generated prompt injections in compaction summaries
Research on aligning AI with human values and intent, and reports documenting model failures.
6 min · 1,350 words
AI Now Writes as Many Online Articles as HumansGraphite’s Common Crawl sample finds primarily AI-generated articles plateaued near 50%
Graphite’s Five Percent research averages three AI detectors across tens of thousands of English articles and finds primarily AI-generated pieces have plateaued near half of new articles since early 2025—after a steep rise following ChatGPT’s launch.
8 min · 1,859 words
Sparse Reward Subsystem in Large Language Models
Guowei Xu, Mert Yuksekgonul, and James Zou report a sparse reward subsystem in LLM hidden states: value neurons encode expected value, while dopamine neurons track reward-prediction error. The study finds these signals are robust across tasks and models and useful for confidence estimation and inference-time search.
1 min · 287 words
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Fu et al. propose Cache-to-Cache (C2C): multi-LLM systems exchange KV-cache semantics directly instead of text tokens, aiming for richer inter-model communication with lower latency and token cost.
52 min · 12,056 words