0. Astra for Law (openai.com)
582 points · 682 comments · by vertigoruntime
OpenAI introduced Astra for Law, combining its GPT-6 Astra model with legal search, firm-specific controls, plugins, and workflow tools for law firms and legal technology companies. [src]
1. How to Write with an LLM (sockpuppet.org)
725 points · 404 comments · by joeriddles
An essay recommends using LLMs as critical copyeditors rather than ghostwriters: preserve your voice by rejecting their wording and praise, while relying on them to identify repetitive, unclear, or structurally weak passages. [src]
2. Hister: A private search engine for the pages you visit and the files you keep (github.com)
729 points · 198 comments · by bookofjoe
Hister is an open-source, privacy-focused personal search engine that indexes visited web pages and local files for full-text searching through web, terminal, and AI-assistant interfaces. [src]
3. Bend – a language that blocks AI mistakes via proof and runs on GPUs (bend-lang.com)
609 points · 315 comments · by nicolas-siplis
Bend is a new language combining proof-checked laws to prevent AI-generated mistakes with C-like CPU performance, CUDA-style automatic parallelism, and Python-like syntax for running code across multicore CPUs and GPUs. [src]
4. Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint (prismml.com)
579 points · 199 comments · by JonSchneider
Prism ML released Ternary Bonsai 2 27B, a 5.9GB multimodal model that uses ternary weights to achieve over 9× compression while retaining 98.2% of its full-precision counterpart’s benchmark performance and supporting local deployment on NVIDIA and Apple devices. [src]
5. The American Religion of Self-Storage Facilities (newyorker.com)
276 points · 449 comments · by pseudolus
The provided material includes only a link to an archived version of the article, not the story’s text or details. [src]
6. Everybody's Lost Their Minds (netmeister.org)
368 points · 340 comments · by ibobev
The author condemns AI’s ethical, environmental, and societal costs, arguing that its security gains and productivity promises distract organizations from essential fundamentals like patching, collaboration, understanding systems, and preserving human expertise. [src]
7. How GLM built its own inference infrastructure (z.ai)
408 points · 285 comments · by whiteros_e
Z.ai says a GLM-5.3-powered Infra Agent helped build and optimize a production inference system for GLM-5.3-Flash across more than 100,000 Chinese-made accelerators, tripling throughput in under two weeks through dense feedback, kernel fixes, concurrency improvements, and memory optimizations. [src]
8. Why I didn’t sign the Fields medallists’ letter (gowers.wordpress.com)
278 points · 411 comments · by simianwords
Gowers explains why he declined a Fields medallists’ letter warning that AI-generated mathematics could undermine understanding, arguing instead that AI may expand mathematical discovery while threatening the human institutions and motivations needed to preserve and transmit the discipline. [src]
9. Iran school bombing: grounds to believe US was behind atrocity, UN finds (theguardian.com)
353 points · 305 comments · by hebelehubele
A UN fact-finding mission found reasonable grounds to believe US strikes on an Iranian school and sports complex killed civilians and constituted war crimes, while also accusing Iranian authorities of crimes against humanity during anti-government protests. [src]
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