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This essay was written with Seva Gunitsky, and originally appeared in Foreign Affairs. Two weeks after Moscow’s full-scale invasion of Ukraine in March 2022, the Russian TV Channel One editor Marina Ovsyannikova burst onto the set of the evening newscast.
Using agents to build property-testing machinery, then turn the findings into small, reviewable fixes.
We moved our AI workloads off rented cloud GPUs and onto a desktop-sized Grace Blackwell machine. Here is what we learned, what it cost, what broke, and why I think most regulated enterprises will run AI this way within five years.
OpenAI Group PBC has published 722 math papers that it generated using an unreleased artificial intelligence model. Some of the papers, which were posted to GitHub late Tuesday, prove long-running hypotheses.
Originally published on Codeloop Software. Quick answer: MCP (Model Context Protocol) is an open standard created by Anthropic that defines how AI applications connect to external tools and data sources — like USB for AI, you build one MCP server and any MCP-compatible client can use it.
Originally published on Codeloop Software. Quick answer: In 2026, a custom single-purpose AI agent (lead qualification, support deflection) costs $1,500–$5,000 to build plus $300–$800/month to run.
If you spend any time around coding agents in 2026, you've absorbed the advice: use multiple agents. One plans, one implements, one reviews. The implication runs one direction. Two agents beat one, and if two are good, three should be better.
Article URL: https://fiveminutesforward.com/post/2026-10-04-telegraph-test/ Comments URL: https://news.ycombinator.com/item?id=49991580 Points: 16 # Comments: 7
Smaller Model, Better Memory: Why Qwen2.5-1.5B Outperforms 3B (And Our 4 Hypotheses) Christopher Alberto Hamonangan This article is based on our recent research paper, ‘SRRM: A …
The Whisper in the Machine: My Encounter with an AI's Hidden Mark. I'll open with a personal anecdote – perhaps a moment of mild paranoia while reviewing an AI-generated text, only to discover later the subtle hints of an underlying 'fingerprint.' This hook introduces the central tension: the…
VIDRAFT Selected as Enterprise User of Quantinuum's Quantum Computing Platform TL;DR: Korean Pre-AGI startup VIDRAFT has been selected as an enterprise user of Quantinuum's quantum computing platform, marking a notable intersection of quantum hardware/software and AI model development.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Release: llm-openai-decisions 0.1a0 OpenAI released their new Jev-style Decisions API, as previously announced at last week's DevDay. Since I already have an llm-typesafe plugin for talking to Jev, I had GPT-6 Astra read the new OpenAI API documentation and build an llm-openai-decisions plugin…
Release: llm-mistral 0.16 Adds support for reasoning models, such as the newly released Mistral Large 4. Tags: llm, mistral, llm-reasoning
Mistral AI SAS today opened access to Mistral Large 4, its most capable large language model to date. On launch, the LLM is available in public preview through the company’s cloud platform. Mistral plans to release the model’s weights later this month.
Mistral Large 4 (“Le Chonk”) Takes the Stage: What the Benchmarks Really Reveal A Sharper Lead On October 3 2026, Mistral released a 1‑trillion‑parameter model that anyone can download under an open‑weight licence.
DeepSeek's new model sets a template for powerful LLMs that run lean 25 days ago
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