Bittensor - Page 14
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AI Still Misreads Pictures, and Reasoning May Hinge on One Word: Two New Studies
Scale AI and Elorian's Humanity's Sixth Sense benchmark finds people score 93.1% on everyday visual questions while the best model, GPT-6 Astra, scores 53.6%, mostly because models misread the picture. A separate preprint, not yet peer reviewed, says base models can reason almost as well as RL-trained ones when their answer starts with the right word.
Anthropic’s Cyber Verification Program: Three Tiers of Looser Guardrails for Vetted Defenders
Anthropic has expanded its Cyber Verification Program into three tiers, Defense, Red Team and Specialized, that relax Claude's cyber safety blocks for vetted security teams on Opus 5.5, Sonnet 5.5 and Mythos 5.1. Specialized applicants are reviewed with the US government. What each tier allows, and what Anthropic's own test shows.
OpenAI’s Decisions API and Perplexity’s Open Decider: AI That Answers With a Probability, Not an Essay
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.
Who Gets to See Inside AI? Fired OpenAI Researchers’ Letter and Australia’s Safety-System Plan
Three fired OpenAI safety researchers have reportedly urged the board to preserve the ability to monitor AI reasoning. Australia, meanwhile, has proposed making frontier AI firms prove their safety systems work, on a banking-and-aviation model. Both reported; one is a letter, the other a proposal.
Google Opens Its SynthID Detector to Everyone: What It Can and Can’t Tell You
Anyone can now check an image, video or audio file for SynthID watermarks from Google and partners including OpenAI, NVIDIA and Kakao, with Apple to follow. A useful check for some AI content, not a general AI detector. What a "no" result does and does not mean.
Biohub, DOE and NIH Lead $1.8bn Push for AI-Ready Biology Data
Biohub, the US DOE and NIH, with $300m from Google DeepMind, Isomorphic Labs and Meta, are pooling $1.8bn to generate open data for AI cell models.
Nous Research Raises $90M to Take Its Open-Source Hermes Agent to Business
Nous Research has raised $90 million to build Hermes for Businesses, a company version of its MIT-licensed Hermes agent. The raise is confirmed; the valuation is reported, mostly at $1.5B, with one $1.2B figure in circulation. Nous's "2.5% of global token usage" is its own estimate.
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.
Claude Haiku 5.5: Anthropic’s Small Model Gets Much Cheaper and Much Better at Using a Computer
Anthropic's Claude Haiku 5.5 costs around 75% less to run than Haiku 4.5, by Anthropic's estimate, and jumps from 15.7% to 72.4% on Anthropic's OSWorld 2.1 computer-use test. Sonnet 5.5 cache reads are also halved. What is confirmed, what is company benchmark, and who it is for.
GPT-6 Reaches Every ChatGPT Tier: Luna for Free Users, Sol for Paid
OpenAI is rolling GPT-6 into ChatGPT's Chat tab for every plan: GPT-6 Sol for paid tiers from 7 October, GPT-6 Luna for Free and Go from 8 October, plus "Intelligent UI" answers with charts, forms and mini tools. What changed, which Sol this is, and what OpenAI's own safety card flags.
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