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Stories from AI Video come first, newest first, then stories from connected topics (Generative AI, World models, AI Models, AI, Hugging Face, open weights), each labelled with where it comes from. This view is not indexed by search engines.

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How to Tell if an AI Answer Is Made Up: 5-Minute Checklist

Spot a made-up AI answer in 5 minutes: a numbered checklist covering sources, numbers, dates and cross-checks, plus what to do when you find a mistake.

Underdog’s Saluki 27B Shrinks Qwen3.8-27B to 7.89 GB: Tool Calling Up on Its Own Test, Competition Maths Down

Underdog's Saluki 27B is a 7.89 GB, 2-bit version of Qwen3.8-27B. Underdog says it passes more tool-calling tasks than the full model on its own 120-task test but scores 15 to 18% lower on competition maths. What quantisation means, and what the numbers do not prove.

USA Today and 13 Affiliates Sue OpenAI; Case Now Stayed in the MDL

On 8 October 2026, USA Today Co. and 13 affiliated companies, covering 19 publications, filed a copyright lawsuit against seven OpenAI entities in federal court in New York, seeking "damages in excess of $250 million". The filing is confirmed; everything in it is the publishers' allegation. Here is what they claim, and what happens to such cases procedurally.

Firmus Pulls Its ASX IPO as Isomorphic Labs Eyes a $40bn Valuation

Three AI business items from 8–9 October 2026: Nvidia-backed Firmus withdraws its ASX listing and turns to private money; Bloomberg reports Isomorphic Labs is in early funding talks at a valuation of at least $40 billion; and StepFun's Step 5 Preview model is now listed on OpenRouter and Vercel's AI Gateway. What is confirmed, and what is only reported.

Harness Buys Augment Code Assets, Plus TRL 1.15 and Genkit Dart 1.0

Four AI developer-tool updates from 8–9 October 2026: Harness buys selected Augment Code assets (not the whole company, price undisclosed), Hugging Face's TRL v1.15.0 claims up to 6.9× longer training sequences, Google's Genkit Dart reaches 1.0, and NVIDIA shows its Boro kernel-review tool. What each says, and what it doesn't.

Robotics Roundup: How Robot World Models Scale, a Beijing Funding Round and a Shop-Floor Humanoid

Three robotics items from 8 October 2026: a FAIR at Meta and Mila preprint on how robot "world models" scale, a reported Series A for Beijing's Livsyn Robotics, and CP AI Robotics' C1 store humanoid, which the company plans to roll out in Japanese convenience stores "as early as 2027". What each shows, and what it doesn't.

Two Open Models From 8 October: a Fast Coding Agent and a Gene Finder

JetBrains has released Mellum2.1, a small open model for coding agents, and Hugging Face has released Carbon-A, a 1.2B-parameter model that predicts protein-coding regions in DNA, plus a database of 566 million predicted loci. What each does, and which numbers are the developers' own.

Same Model, Different Score: Training AI Inside the Coding Tools People Actually Use

Hugging Face's FineEnvs team has released an open framework that turns unmodified coding-agent harnesses such as Claude Code, Codex and OpenCode into reinforcement-learning environments. In its own tests, one small model scored 62% in one harness and 33% in another. What a harness is, how the training works, and what the results do and do not show.

OpenAI’s Decisions API and Perplexity’s Decider Return Probabilities

On 6 October OpenAI launched a Decisions API that returns yes/no probabilities, picks and rubric scores from GPT-6 Luna, and cut its API usage tiers from five to three. Perplexity released pplx-decider-v1.1-27b, an Apache 2.0 open-weight decision model. What decision models are, what each costs, and which scores are the vendors' own.

Small Open Models That Answer in One Pass: Liquid AI’s d1 and Perplexity’s pplx-embed-v2-late

Liquid AI open-sourced two "decision models" that give a structured answer in a single pass, in about 8 ms on an RTX 4090 by Liquid's figures. Perplexity open-sourced two search models that read text, images and PDF pages without OCR, where a small model can query an index built by a big one. What each does, in plain words.

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