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なぜこのサイトを作ったのか
私たちそれぞれが個別にAIを使って情報収集し、同じような3行要約を作るたびに、世界中で膨大な電力と計算リソースが消費されています。 本プロジェクトは、あらかじめ広範な情報を取得・集約しておくことで、個別のAI実行回数を減らし、地球環境（GPU/TPU負荷）に配慮した効率的な情報収集を目指す実験的なダッシュボードです。
Qiita - 人気の記事
【図解】AI・ChatGPT・RPA・iPaaS・n8n…業務自動化の言葉が多すぎる！66 製品を 6 役に例えたら、1 枚の工場イラスト図になった
・「業務を自動化したい」と調べ始めた瞬間、名前の洪水に遭います。
・AI、生成AI、LLM、AIエージェント、Agent、MCP、RPA、iPaaS、ワークフロー、AI-OCR、ノーコード、ローコード、API、ChatGPT、Gemini、Claude、Microsoft 36...
InfoQ
Presentation: Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services
・Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs.
・Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compile-time overhead for engineering leaders scaling compute-heavy enterprise systems.
・By Chad Schuster
Zennのトレンド
RTX 5090 + RAM 128GBでQwen3.8-Flash-Nextをllama.cppで動かしてみた
・検証日：2026年8月27日 Qwen3.8-Flash-Nextは125B規模のMoEモデルですが、RTX 5090 32GBとRAM 128GBの1台構成でも動作しました。
・UnslothのUD-Q2_K_XL量子化とQwen3.8-Flash-Next対応版のllama.cppを使い、64kコンテキストで設定を詰めた結果、短文生成で約48.0 tokens/s、約16kトークンの入力後でも43.3 tokens/sを記録しました。prefillは約1,429 tokens/s、約16kトークン入力時のTTFT（最初のトークンが返るまでの時間）は約11秒です。
・この記事ではモデルの出...
InfoQ
Astro Introduces Sätteri: A Rust-powered Markdown And Mdx Processor With Up To 60% Faster Builds
・Sätteri is a high-performance Markdown and MDX processor developed by the Astro team.
・Built in Rust, it enhances build speeds by up to 61% for Astro 7.0.
・Sätteri supports flexible JavaScript plugins and integrates various Markdown features natively.
InfoQ
Cloudflare Wallets Arrives Late to x402, and the Spending Controls Stop at the Payment
・Cloudflare announced Wallets, giving agents a stablecoin balance and spending controls, though only handle claiming is live and squatting complaints have already surfaced.
・Payments run on x402, now hosted by the Linux Foundation.
・The controls bound single payments, not sequences, leaving composition to the application above.
InfoQ
Google Cloud Launches AI-powered Agents to Simplify Database Lifecycle Management
・Google Cloud has introduced AI-powered Database Operations Agents, featuring an Onboarding Agent that streamlines database setup and an Observability Agent that helps automate troubleshooting, performance optimization, and tuning.
・Integrated with Gemini Cloud Assist, these agents support multiple database services, including AlloyDB, Bigtable, and Spanner.
・By Sergio De Simone
The GitHub Blog
OpenClaw went viral. Meet the maintainers building and securing it.
・OpenClaw is the fastest-growing project in GitHub history.
・Peter Steinberger and several maintainers share what they learned in the project's first six months.
・The post OpenClaw went viral.
InfoQ
Spring News Roundup: First Milestone Releases for Boot, Framework, Data, Security, Modulith, Batch
・After a 10-week hiatus since the last batch of Spring ecosystem releases, there was a flurry of activity during the week of August 17th, 2026, highlighting first milestone releases of: Spring Boot, Spring Framework, Spring Data, Spring Security, Spring Integration, Spring HATEOAS, Spring Modulith, Spring Batch, Spring AMQP and Spring for Apache Kafka.
・By Michael Redlich
Lobsters
Announcing our first Maintainers in Residence
Announcing our first Maintainers in Residence
Lobsters
Changes to SourceHut's terms of service regarding LLMs
Changes to SourceHut's terms of service regarding LLMs
GitHub Trending
ComposioHQ / awesome-claude-skills
・A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows Python
Speaker Deck
DIフレームワークは どこまで速くできるのか - Ray.Diのコンパイルとpreload
DIフレームワークは どこまで速くできるのか - Ray.Diのコンパイルとpreload
Lobsters
Durable Objects without Cloudflare, on the database you already run
Durable Objects without Cloudflare, on the database you already run
InfoQ
How to Make Testing More Sustainable
・By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests affected by code changes.
・Tracking energy use per test and using static code analysis can help spot inefficiencies and guide optimization efforts.
・By Ben Linders
Lobsters
If I release it, you won’t get the same experience I get
If I release it, you won’t get the same experience I get
Speaker Deck
KMP & CMP 101 for Shipaton 2026 (Online event)
KMP & CMP 101 for Shipaton 2026 (Online event)
Lobsters
Please stop flooding our projects with AI slop to furnish your CV
Please stop flooding our projects with AI slop to furnish your CV
Lobsters
Simon Jones on Functional Programming, Thinking in Types, Useless Languages
Simon Jones on Functional Programming, Thinking in Types, Useless Languages
Lobsters
tailcat: like netcat, but over Tailscale's data plane, without Tailscale's control plane
tailcat: like netcat, but over Tailscale's data plane, without Tailscale's control plane
Lobsters
The Server Called Paranoia: Defend Autistici/Inventati Before September 25
The Server Called Paranoia: Defend Autistici/Inventati Before September 25
GitHub Trending
thedotmack / claude-mem
・Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions.
・Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More JavaScript
Lobsters
Why Free Software usability tends to suck (2002)
Why Free Software usability tends to suck (2002)