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Frog and Toad and the Increasingly Capable Machines
Leading today: Frog and Toad and the Increasingly Capable Machines. Also in this issue: A model guide for the GPT-6 family; Chatham scales its capital markets expertise with OpenAI. 17 stories in total, selected automatically from 65 candidates across the day's feeds.
| 1 | frogandtoad.ai Frog and Toad and the Increasingly Capable MachinesTrending on Hacker News (541 points, 124 comments). |
| 2 | openai.com A model guide for the GPT-6 familyLearn how startups can choose GPT-6 models, tune reasoning effort, improve prompts and skills, coordinate tools, and prepare workflows for production. |
| 3 | openai.com Chatham scales its capital markets expertise with OpenAIChatham Financial uses Codex and GPT-5.6 to build technology and redesign workflows, cutting trade validation from 30 minutes to under 4. |
Microsoft AI has released MAI-Transcribe-2-Streaming, a new model for real-time transcription.
Read →NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system.
Read →Content-based row matching, 6 per-value verdicts and a null rule make OmniExtractBench an extraction benchmark anyone can audit.
Read →AWS's Strands Agents team released Strands Decider 2B, an Apache-2.0 decision model built on Qwen3.5-2B-Base.
Read →Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally.
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Many frontier labs keep their risky research locked away. Trillium Labs wants to show off its work when it comes to self-improvement and model behavior.
Read →3D Gaussian avatars support fast rendering, however, their real-time animation is often challenged by the costly neural inference.
Read →LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations.
Read →Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skills, design rewards, and integrate perception with control.
Read →What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem...
Read →High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry.
Read →
Trending on Hacker News (68 points, 41 comments).
Read →Trending on Hacker News (42 points, 5 comments).
Read →The AI industry, condensed into a five minute read. Free, and you can leave whenever.
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