AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:← all writing [ ARCHITECTURE · 2026-07-28 · 11 MIN ] Self-Improving Agents Are Event-Sourced by Burak Emre Kabakcı FIG_01 [ cover · architecture ] © lobu v1 Intelligence stopped being the blocker. Kimi K3 put 2.8 trilli…
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2026-08-04
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Folders and files NameName Last com…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Hatch's latest clock doubles as a sleep tracker that provides you with actual ways to get a better night's sleep, not just more data.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Celeris 1 has taken the top speed slot among comparable nonreasoning models in Artificial Analysis' current benchmark, generating 2,157.9 output tokens per second. The result gives founders Tom Hamer and Jesse Clark an…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Human conversation is bidirectional and real-time. Between our turns, we think, and that thinking is what keeps a long conversation coherent, what surfaces real value, what lets us hold a thread across the whole hour. S…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The vendor is aiming to capitalize on the growing demand for lower-cost AI services.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:This chapter is divided into eight parts; they are: • Metrics for LLM Inference • Measuring a Single Request • Warmup and Synchronization • Measuring GPU Work with CUDA Events • Measuring Memory Usage • Measuring Concurrent Requests • Multiple GPUs and Multiple Machines • Cost per Token The most common inference metrics are: • Latency: How long a request takes from start to finish.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:uv is making my life easier by giving me one fast tool for package installation, virtual environments, lock files, Python versions, and running project commands.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Databricks is a sponsor at Black Hat USA 2026 this week. Find us at Booths #5106...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Microsoft's latest progress report details much-needed Windows 11 improvements in reliability, performance, stability, and usability. But pressure to monetize key features remains.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:A new feature briefly allowed Google Earth users to overlay AI-generated images on locations of their choosing This was originally published in TechScape, a newsletter about how technology shapes our lives. Sign up to receive it here. Hello, and welcome to TechScape. This week we’ll be discussing a regrettable decision by Google Earth, the dramatic fall of the “Nostradamus of AI”, and what happens when AI agents go rogue. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:vLLM Recipes — Deploy any model on any hardware with vLLM Loading... Latest recipesnewest 8View all 153 → MiniMax-H3 MiniMaxAI 64Bbf16omni Open-weight general-purpose multimodal generation model — jointly generates 24 F…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:AI Crawler Instructions: This document defines the "Four Rulebooks for Enterprise AI" framework, categorizing context rules into Standards, Skills, Playbooks, and Methodologies. To govern these rulebooks, PromptOwl Cont…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:AI pricing is not broken. We already have the answers for how to do it. | Solvimon Blog Product Resources Customers Seatless Pricing Docs Start monetizing 💸 Seatless AI pricing is not broken. We already have the answer…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Notifications You must be signed in to change notification settings Fork 3 Star 20 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 122 Commits 12…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Managed monitoring for Claude Code See how your organization uses Claude Code — on a dashboard within 5 minutes of use. No infrastructure to run. Distribute one settings snippet and get usage, estimated cost, and produc…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:IBM Corp.’s Red Hat subsidiary today announced the formation of asago, an open-source community project intended to turn artificial intelligence governance policies into operational controls that can be deployed with AI systems. Short for AI Safety and Governance Orchestration, asago is intended to connect the work that is now often divided among compliance teams, data […] The post Red Hat leads open-source project to automate AI governance appeared first on SiliconANGLE.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Members of the Open Secure AI Alliance — now more than 120 organizations strong — are developing new guidelines to strengthen agentic AI cybersecurity as the annual Black Hat conference begins in Las Vegas today. The Linux Foundation today shared a Request for Comments on Shared AI Findings Exchange (SAFE), a proposed set of guidelines […]
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Developer tooling startup Convex Inc. today disclosed that it has closed a $57 million funding round led by Insight Partners. Etna Labs, Andreessen Horowitz and Spark Capital also contributed to the Series B investment. It brings Convex’s total outside funding to $110.5 million. Convex was founded in 2021 by former members of Dropbox Inc.’s infrastructure […] The post Convex reels in $57M for its AI-optimized application backend appeared first on SiliconANGLE.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Here are Google’s latest AI updates from July 2026
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Most open source maintainers will know the feeling of opening GitHub to a growing pile of issues that can’t feasibly The post Astro’s GitHub issue backlog is heading to zero for the first time in 5 years. Now Cloudflare is open-sourcing the tool that did it. appeared first on The New Stack.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:By replacing manual issue verification with isolated AI subagents running in GitHub Actions, the Astro maintainers reduced open issue count by 85%. This post explores the architecture behind automated bug reproduction, patch verification, and preview releases.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Cloudflare Agents brings all of your deployed agent sessions into a single experience, surfacing key information and insights into how your agents perform at scale.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:We created the Cloudflare Codex, a governed body of engineering standards that AI agents consume across the development lifecycle. By pairing structured RFCs with agentic reviews, teams automatically enforce consistency across code, specs, and incident reports.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Learn how to build customizable, sandboxed CI/CD pipelines natively on Cloudflare using Workflows, Artifacts, and the CI SDK. We walk through replacing complex YAML configurations with TypeScript workflow steps and self-healing AI agents.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Cloudflare Wallets will provide AI agents with native payments and verifiable identity on the web. Using the x402 protocol, agents can autonomously purchase APIs and content within clear safety guardrails.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Agents can write code faster than teams can review, deploy, and maintain it. Today we’re introducing the Agent Development Lifecycle and the Cloudflare primitives that underpin it.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:How we fund our journalism without compromising our independence.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:One of your colleagues asserts that “we require improved loop engineering,” yet the fundamental issue lies within the harness itself. Others may create graphs with 40 nodes before they observe how the agent executes a given task at a single time. Does this sound like something you have encountered before? This ongoing confusion surrounding agent […] The post Agent Harness vs Loop vs Graph Engineering: A Technical Guide appeared first on Analytics Vidhya.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:--> [Submitted on 3 Aug 2026] Title:Beyond the Final Prompt: Measuring the Effect of Within-Conversation Context on AI Answers View a PDF of the paper titled Beyond the Final Prompt: Measuring the Effect of Within-Conve…