Welcome FLUX.3 Image Klein in Diffusers
Welcome FLUX.3 Image Klein in Diffusers
翻訳待ち・原文を表示中 · en出典・テーマ・日時から、気になるニュースを見つけられます。
Welcome FLUX.3 Image Klein in Diffusers
翻訳待ち・原文を表示中 · enWelcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
翻訳待ち・原文を表示中 · enAIエンジニア・ニューヨークでは、フロンティアラボや金融機関が、重要な意思決定を適切に管理しつつ、エージェントに有用な自律性を付与する方法を検討しました。
Tool: Tree Appreciator Another game experiment with Claude. This one used the default Claude iPhone app (chat mode, not Claude Code mode), where I prompted Claude Opus 5.5 Max with: Build a three js game called "Tree appreciator" - it shows you two algorithmically generated trees and the game mechanics is about appreciating the differences between them. Think hard about how to make sure it is both fun and beautiful. Somewhat embarrassingly given my recent talk, I've found that telling Opus 5.5 "make sure it is fun" works uncomfortably well. In this case Claude crunched for 3 hours and 7 minutes before retuning a cosy little spot-the-difference game with music and animation and achievements that's quite compelling to play. Tags: game-design, javascript, ai, generative-ai, llms, claude, vibe
翻訳待ち・原文を表示中 · enLeash Bioが、誰もが苦労するアッセイであるDELをどのように制御し、そのデータを用いて不正なモデルを検出したのか。さらに、なぜその同じデータが、化学者のように思考するAIエージェントの学習に最適なのか。
AI is mass decompiling games. That's both awesome and scary. Indie game developer Popcar talks about the recent wave of AI-powered decompilation of existing games, enabling weird mashups between existing games, and producing a boom in game preservation projects to get old games working on new hardware (often in a browser using WebAssembly). I like how this piece captures both the positives and the negatives of this new development: Most people already realized the scary part by now. If AI can decompile games and software, then the entire tech industry is about to explode. Anybody can decompile other software and use it any way they'd like, and nobody can stop them. Companies can steal from competitors. Your paid game or app can be open-sourced against your will. This isn't exclusive to old
翻訳待ち・原文を表示中 · enEarth AI
翻訳待ち・原文を表示中 · enGeneral Science
翻訳待ち・原文を表示中 · enGeneral Science
翻訳待ち・原文を表示中 · enGemini 4 Argonは本日一般提供となりましたが、私たちはすでに2週間前にその特集記事を掲載しており、CursorBenchなどの多くのベンチマークも、単に独自にその主張を確認しているにすぎません。
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
翻訳待ち・原文を表示中 · enOpenAI Daybreak では、SentinelOne は数週間のマルウェア分析を数時間短縮し、より多くの脅威を調査する能力を作成します.
Your smart refrigerator could one day do more than keep your food cold—it could unknowingly become part of a spreading AI-powered cyberattack.
翻訳待ち・原文を表示中 · en新しい分析では、欧州の企業や小規模な企業で、より深い用途がより価値を享受できるかについて示しています.
HiRO-ACEv2: コストの分流のための3キロ解像度で極端な気象をシミュレート
AmpがGPT-6 Astra、超高速、GPT-Live-1、ChatGPTで何ができるかのフロンティアをプッシュする方法を参照してください.
ブロックはOpenAIでAIを搭載したセキュリティを構築しています。 セキュリティチームは、脅威を迅速に調査し、数分でパッチを提案します.
GPT-6 AstraとGPT-6.1 Sol、Codex、およびサイバーセキュリティのデイブレイクにより、このAIラボは、日々焦点を合わせ、使用を改善するエージェントを構築します.
Redesigning source control at Anthropic Interesting piece from Anthropic describing why and how they built their own custom alternative to Git, based on the dramatic increase in rate of changes to their code after the past six months. In May 2026, Anthropic averaged around 2,500 code changes merged per day; as of September, we merged over 30,000 per day. They included a chart showing those changes. I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026: This shows public release dates, not the date when models became available for Anthropic's internal use. My guess is that the introduction of Fable/Mythos class models is a key factor in the increased coding velocity. "Antique" is their new code review system. The source control sy
翻訳待ち・原文を表示中 · enRelease: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high pelicans. As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.) Here's the "high" illustration, which cost me 17.166 cents: The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra. But on December 1st Argon is set to double in price - so it will be the same pri
翻訳待ち・原文を表示中 · en