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Models, products and AI startups, near-duplicates collapsed to the most credible source

Researchers Turn 109k ML Papers Into Topic Pages

A team grouped roughly 109k papers accepted at ICML, NeurIPS, ICLR, CVPR and AAAI since 2016 into about 1,260 topics and extracted results tables from the full text of 79k of them. Topic pages show best benchmark numbers with the source paper, recent ablations and common baselines. It is free to use; the authors warn extracted numbers may not be fully comparable.

r/MachineLearning ·

Micron AI memory sold out through 2026 with $100B in contracts

Amid bubble fears and a broad AI sell-off, The Motley Fool highlights Micron, Astera Labs and Vertiv. Micron's high-bandwidth memory is sold out through 2026, with roughly $100 billion in take-or-pay contracts and $22 billion in customer deposits, yet it still can't meet over half of demand; the other two posted strong growth and raised guidance. All carry risk if AI capex slows.

The Motley Fool ·

Google brings Dreambeans to India with support for 13 languages

Google has expanded its experimental AI app Dreambeans to India, its first market outside the US, adding support for 13 local languages including Hindi and Tamil. The app draws on Google services like Gmail, Calendar and Photos to auto-generate personalized illustrated stories. Sensor Tower estimates about 55,000 US downloads since launch, with October downloads down 84% month over month.

TechCrunch ·

CWE-bench v2 releases 100 security tasks

Collinear AI released CWE-bench v2, a public set of 100 tasks covering 91 CWE types that tests agents on finding and fixing vulnerabilities in real open-source repos without breaking functionality. Scoring is fully programmatic and reproducible, and a held-out set tracks progress on tasks no model has seen.

Hugging Face Blog ·

Trajectory raises $45M Series A

One-year-old Trajectory raised a $45M Series A at a $300M valuation, led by Sequoia with Nvidia, Bessemer and Bain Capital Ventures. Its continual-learning platform retrains open source models from user feedback, letting legal and finance experts improve specialized models without research teams; Harvey and Rogo already use it.

TechCrunch ·

User says Qwen 3.8 27b used Blender to do math

A LocalLLaMA user said that when given a math-heavy physics problem, Qwen 3.8 27b found it could run Python via Blender MCP and wrote and executed code to speed up its math. The user called the behavior unprecedented for a local model and warned that models need explicit limits.

r/LocalLLaMA ·

Op-ed urges SEC to block Anthropic's IPO

A Tech Policy Press op-ed calls on the SEC to block Anthropic's IPO, citing footnotes showing nearly $900 billion in spending commitments and unaudited 2026 results, with third-quarter revenue growth slowing sharply—risks it says would fall on retail investors and retirees.

Tech Policy Press ·

Open-source research proposes new sparse attention for ultra-long context

An open-source research team shows attention can be sparsified on Qwen 3.8 27B without observed accuracy loss, and that extending context to 10M tokens hurts some tasks but leaves most, like NIAH, fine. It says sparse attention can be trained natively on next-token loss, matching full-attention validation loss faster; kernels, SGLang integration and the paper are open.

r/LocalLLaMA ·

Anthropic warns it is near recursive self-improvement capability

In its revised S-1A filing, Anthropic warned it may soon meet its internal definition of recursive self-improvement (RSI), where AI trains more capable AI and sharply accelerates progress. It said it has already used AI to develop models whose capability leaps it did not recognize at the time, and flagged the risk under its Responsible Scaling Policy.

TechCrunch ·
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