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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.
The $1.8B Virtual Biology Push: Building the Data AI Needs to Model a Living Cell
Biohub, the US Department of Energy, the NIH, Google DeepMind, Isomorphic Labs and Meta have announced $1.8 billion in funding, data and computing to generate open, AI-ready biological data. What is new money, what is existing data, and why a "virtual cell" needs it.
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.
LoGRA Explained: How NVIDIA Cuts RL Training Memory with Low-Rank Gradient Sketches
NVIDIA’s LoGRA paper shows low-rank gradient sketches cutting average RL training memory by up to 45.7% on tested Qwen reasoning setups—and making 27B RL runnable on one 8×H100 node where dense Adam OOMs. What the method is, what Table 1 shows, and what it does not prove.
RAG vs Jev+RAG Explained: What the Judgment Gate Adds
Avi Chawla’s 7 October explainer contrasts standard RAG with a Jev gate between retrieval and generation. What hybrid search already does, what typed probabilities add, why thresholds stay in code, and what this architecture does not replace.
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