Machine Learning - Page 18
Explainers and news on machine learning: how models are trained, deep learning, synthetic data, NLP, open-source tools and running AI locally.
Stories from Machine Learning come first, newest first, then stories from connected topics (Deep Learning, Guides, Generative AI, AI, AI, AI for science), each labelled with where it comes from. This view is not indexed by search engines.
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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.
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.
Grok Bot Types Guide: How to Build and Staff Specialist Bots
Step-by-step how-tos for Personal Bots, Marketplace templates, Team vs Template choices, group-chat handoffs, skills and routines, and a newsroom Research→Writer→Reviewer pattern—plus the full Marketplace catalog with implementation ideas as of 7 October 2026.
Grok Bot’s Best-Backend Shift: Outcomes Over In-House-Only
Elon Musk says Grok Bot will use the best back-end model for each task—naming Claude Opus 5.5, MidJourney, Suno and other leading APIs. What he stated, what remains unconfirmed, and why routing details still matter.
South Korea’s bank hacks: possible AI use raises the stakes
South Korea’s president ordered a full response after customer data was exposed at seven financial firms, saying some cases showed possible AI use. Police have formed a 28-member investigation team.
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