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ClaudeClaude 是 Anthropic 推出的 AI 助手,可通过对话协助写作、阅读资料、分析数据和编程,并将部分任务整理为可继续编辑的文档、表格或演示文件。适合希望把想法、资料和初稿衔接起来的个人与团队。01GeminiGemini 是 Google 的 AI 助手,可通过对话协助写作、规划、整理资料和分析上传文件,也可用 Deep Research 围绕一个主题检索资料并生成研究报告。02MidjourneyMidjourney 是从文字和参考图片生成视觉作品的 AI 创作工具。可在网页 Create 页面输入提示,比较生成版本,再使用变体、编辑、放大或图像转视频等功能继续创作。03KreaKrea 是 AI 视觉创作工作空间,可从文字或参考图生成图片,比较不同模型与变体,再进行编辑、细节增强和放大,也提供视频及其他创意工具入口。04RunwayRunway 是集视频生成、视觉编辑和创作流程于一体的 AI 平台。可从文字、图片或已有片段开始,生成或修改镜头,再进行延长、放大和导出,服务于概念短片、广告及其他视觉制作。05SunoSuno 是通过文字描述、歌词和参考素材创作歌曲的 AI 音乐平台。用户可生成带人声的歌曲或音乐,再使用编辑、重混与音轨分离等功能继续制作和分享。06ElevenLabsElevenLabs 是提供 AI 语音生成、音频创作和语音智能体的平台。创作者可以制作配音、有声书、播客及本地化内容,开发者则可通过 API 接入语音生成、转录和对话能力。07Notion AINotion AI 是集成在 Notion 工作空间中的 AI 助手,用于查找团队知识、生成和编辑页面、处理数据库及整理会议内容。它结合工作空间和已连接应用的上下文,帮助把资料查询、内容整理和后续任务放在同一工作环境中完成。08

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643 条已发布资讯
Anthropic / Claude · 26 条资讯清除筛选 ×
2026-10-23
沿着时间,追踪变化
02:09

Donating Agent Skills to the Agentic AI Foundation

Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re committed to keeping Agent Skills open, community-driven, and vendor-neutral. Today, we are donating the standard to the Agentic AI Foundation (AAIF) under the Linux Foundation, which we co-founded with Block and OpenAI last year, and to which we donated the Model Context Protocol (MCP). I'm pleased to note I called this one last December, when Anthropic first declared skills to be an "open standard": I wouldn't be surprised to see this end up in the AAIF, recently the new home of the MCP specification. Fun side note: since my blog content is available to Claude via the datasette-mcp plugin I found that post by prompting Claude to "Use simonwillison.net MCP to find if I ever talked about how I want skills t

# 个人阅读原文 事件进展与其他报道
2026-10-22
沿着时间,追踪变化
23:50

OpenAI, Anthropic, and Nvidia had record lobbying quarters

It was a busy summer for AI lobbyists. Anthropic, OpenAI, and Nvidia each had their highest-spending lobbying quarter between July and September, federal disclosures show. Nvidia spent the most of the group at $2.2 million, followed by Anthropic's $2.1 million and OpenAI's $1.5 million. Compared to other Big Tech companies with long-established presences in Washington, […]

# 媒体阅读原文 事件进展与其他报道
2026-10-21
沿着时间,追踪变化
03:34

Battle Drones - a vibe coded RTS with audio-based multiplayer

My latest vibe coded game experiment is a Command & Conquer style RTS (Real Time Strategy) game called Battle Drones (play it here). Unlike my previous experiments, this one is actually fun to play. I'm somewhat embarrassed to admit that I got there by telling Claude to "Make it a LOT more fun". It also supports multiplayer between nearby devices using audio to synchronize game state! Here's what I've built so far, and some of the things I learned along the way. Battle Drones How I built this v1: the initial prototype v2: full sprites v3: varied terrain v4: the fun update v5: Battle Drones goes 3D v8: Archipelago v10: Goliath, and agent battles Agent battles v11: Random Maps v12: Multiplayer via sound Some thoughts Update: Online multiplayer support Battle Drones My initial goal was to bui

# 个人阅读原文 事件进展与其他报道
2026-10-19
沿着时间,追踪变化
2026-10-17
沿着时间,追踪变化
06:06

Quoting Addy Osmani, Morgan Westlee Lunt, and Qing Wang

We think "did a human read the code?" is an imprecise proxy for "what could go wrong with this change, and which check—automated or human—is the right one to catch it?" Asking that question also changed when review happens. Before, review was a gate at the end of the road: write the code, open a PR, wait for your colleague. Now, review runs continuously, more like spellcheck while you write. Most changes have been reviewed and fixed by Claude at least once before a human is asked to look. This catches most routine mistakes, and saves team attention for higher-level questions and scrutiny. — Addy Osmani, Morgan Westlee Lunt, and Qing Wang, How the Claude Code team does code review Tags: anthropic, claude, ai, claude-code, llms, addy-osmani, coding-agents, generative-ai, agentic-engineering,

# 个人阅读原文 事件进展与其他报道
2026-10-16
沿着时间,追踪变化
09:58

sparqlite: SPARQL 1.1 inside SQLite, written in Rust

Research: sparqlite: SPARQL 1.1 inside SQLite, written in Rust This research task is really an experiment in running Claude Code for web in "Ultracode" mode, as described in Orchestrate subagents at scale with dynamic workflows in the Claude Code documentation. With Ultracode turned on, Claude Code makes aggressive use of dynamic workflows - it generates JavaScript that defines and coordinates a network of subagents to take on complex problems. My initial prompt was this - I meant "hit the rows directly", the word "delete" was an accidental typo on my phone: Write a SQLite extension in Rust that implants SPARQL and runs really fast because it can hit the delete rows directly This caused Claude Code for web to churn for over 12 hours. I checked in on its progress the next day and sent a sin

# 个人阅读原文 事件进展与其他报道
03:47

Chirp Pong

Tool: Chirp Pong Another game experiment - I wanted to see if it was feasible to have a two player game on two separate phones running in static HTML where the networking code uses chirps sent via the microphone. It seems to work! Build a two player competitive pong like game where two players use their phones close to each other and the game state is sent via audio noises which the web microphone API can interpret - but add graphical and gameplay twists to make it a lot more fun and intertwine than pong Claude Opus 5.5 Extra in Claude Code. Tags: game-design, ai, generative-ai, llms, claude-code

# 个人阅读原文 事件进展与其他报道
2026-10-15
沿着时间,追踪变化
21:04

Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO

Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO The phrase "told investors" appears four times in this FT article, which reports on Anthropic's day of hosting investors on Wednesday. Lots of details in here from "people with knowledge of the matter". Key things I learned from the article: Q1 revenue (Jan/Feb/Mar) was "about $4.8bn" Q2 (Apr/May/Jun) was $11.5bn Q3 (Jul/Aug/Sep) was $16.8bn In Q3: $1.70 in revenue for every $1 spent on "computing power" Adjusted operating margins (excluding stock-based compensation) were 11% This point about distillation is worth quoting in full (highlight mine): The start-up has also clamped down on “distillation” — a controversial practice whereby rival AI labs train their models on the outputs of more advanced ones. When

# 个人阅读原文 事件进展与其他报道
10:07

LaTeX renderer

Tool: LaTeX renderer Inspired by Paul Ford and Aboard Foundary's new web app Tiny Little Office, which provides a suite of web app content editors (a Word Processor, Outliner, Presentation Builder, Spreadsheet, Calculator, Drawing Tool, Diagram Maker, Animator, Calendar, and Trip Planner). Tiny Little Office's signature trick is to store all of the document data in the #fragment section of the URL, so every document created using it becomes a bookmarkable and shareable link. It also has an llms.txt file telling agents how to construct URLs that will render as documents. Claude used that file to generate this link to a deck that explains how the URL format works: Tiny Little Office inspired me to have Claude Code (Opus 5.5 Extra) build a similar tool that works with LaTeX. Here's the sequen

# 个人阅读原文 事件进展与其他报道
05:23

Tree Appreciator

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

# 个人阅读原文 事件进展与其他报道
2026-10-14
沿着时间,追踪变化
07:00

Redesigning source control at Anthropic

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

# 个人阅读原文 事件进展与其他报道
06:28

llm-gemini 0.35

Release: 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

# 个人阅读原文 事件进展与其他报道
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