443 summarised stories about Large Language Models, each linking back to the original source. Browse all topics →
YouTube 3 weeks ago 34 ● 3 sources
Corey and Grant stress-tested GPT-6 Astra with six one-shot build tasks and minimal follow-up steering. One of the tasks was a black hole simulator. The results are that the model can still produce working builds across varied prototypes—from Blender and a physics game to a sci-fi world, sound diagnosis, and Cat Doom.
The New Stack 3 weeks ago 17 ● 9 sources
SpaceXAI released Grok 4.7, a coding agent model trained to handle long, hours-long runs by focusing reinforcement learning on harder tasks and improving self-verification and long-context management. Grok 4.7 scored 38.0% on Terminal-Bench 4.0, up from 20.3% for Grok 4.6. The model’s long-horizon performance improved substantially, but it still fails most of the time in long-running codebase evaluations, so reliability remains a limiting factor.
Amazon Science 3 weeks ago 31
Amazon Bio Discovery’s research team published three papers introducing AI methods to better predict binding and developability properties and to design antibodies or nanobodies for experimentally validated candidates. MochiBind scored 200,000 antibody pairs in roughly 13 seconds on a CPU, reporting more than a 100-fold inference speedup over competing methods. The work shifts antibody evaluation toward cross-antigen relative binding and batch-effect-aware context prediction, and it combines an epitope hotspot agent with de novo generative design to produce lab-validated hits against a novel cancer target.
Hugging Face 3 weeks ago 48
Researchers reformulated transformer block pruning as a constrained binary optimization mapped to an Ising glass, enabling fast scoring of block-removal combinations without running full benchmarks. At 50% depth pruning of Llama-3.3-70B-Instruct (removing 40 of 80 blocks), it reported an almost 23-point MMLU advantage over the best block-removal baseline. The method shifts block selection from independent/heuristic ranking to searching low-energy coupled configurations, including “excited” low-energy states that can outperform the single best solution.
Product Hunt 3 weeks ago 29 ● 9 sources
Grok 4.7 was launched as a more capable model for coding and knowledge work. It is served at the same price and speed as Grok 4.6. The update focuses on longer performance on difficult tasks, more careful self-checking, and improved safeguards.
MarkTechPost 3 weeks ago 13
StepFun launched Step 5 Preview, its flagship sparse Mixture-of-Experts model aimed at agentic software engineering, knowledge work, and finance.
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TLDRocket
18 October 2026
The day’s biggest AI thread wasn’t model quality—it was accountability, in public. Anthropic announced it will commit 5% of its shares to a new Anthropic Public Benefit Fund, with the option to add 2% for every 50% increase in company value above a baseline, effectively steering more of its long-term upside toward mission-driven giving. It’s pairing that financial structure with operational one: METR, an outside AI watchdog, now gets “employee-like” access, including an embedded team at Anthropic’s office with access to hardware and internal systems for risk evaluation. It’s a rare instance where governance isn’t just a policy PDF; it looks like an audit workflow with teeth.
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