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关注 AI 研究者、开发者与机构的动态
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Suno@sunoAI 评分4242
DogeDesigner@cb_dogeAI 评分1111
ginobefun@hongming731AI 评分3535
ginobefun@hongming731AI 评分3131引用ginobefun@hongming731https://x.com/i/article/2107255717677985792
Rohan Paul@rohanpaul_aiAI 评分5555
Rohan Paul@rohanpaul_aiAI 评分5353

引用Rohan Paul@rohanpaul_aiOpenAI's median researcher used $601 of coding-agent inference a day at API prices, up from under $1, in January 2026. Eoch AI's new report. > OpenAI researchers' coding-agent usage, valued at API list prices, is doubling roughly every month > By mid-August 2026, the median researcher used $601 a day and about $2M a year, roughly matching or exceeding what employing a researcher costs. > This pace probably can't last, since one more year would reach about $185M per median researcher, and list-price figures reveal nothing about what OpenAI actually spends.
Rohan Paul@rohanpaul_aiAI 评分5151
引用Rohan Paul@rohanpaul_ai> Sam Altman does all his prompting on prompting on 'ultra fast' > Boris Cherny, head of Claude Code at Anthropic: “I use Fable for everything" > OpenAI's median researcher used $601 of coding-agent inference a day (about $1.8M a year, r) at API prices, up from under $1, in January 2026.
Rohan Paul@rohanpaul_aiAI 评分5555
Aravind Srinivas@AravSrinivasAI 评分3535引用Computer@AskPerplexityThe Perplexity App for Mac now has tabs, and sessions can be opened in separate windows. You can run tasks next to each other in parallel, or place sessions on different screens. Live now in version 26.37.1 for all Computer users on Mac.
DogeDesigner@cb_dogeAI 评分66抱歉,您提供的推文内容为空(仅有一个链接,没有实际文本)。请提供推文的正文内容,我将为您翻译并拟定标题。

SemiAnalysis@SemiAnalysis_AI 评分4545
Ethan Mollick@emollickAI 评分6060引用Felix Rieseberg@felixriesebergHi! I work on Cowork. Probably no surprise, but we want to make our users as powerful as possible with Claude - and you're right that explaining and keeping up with the capabilities is hard. Affected users got both an email and an in-app notice, but I'm grateful for the feedback - I think this change was more surprising to people than I'd like it to be. This one will be a longer explainer, bear with me! The "old" version of Cowork runs model inference in the cloud, executing tool calls in an Anthropic-provided VM we shipped to your computer. We added the VM for capability, safety, and security reasons - mapping in just the data you explicitly added to your session. People loved what they were able to do with Claude but didn't love the disk, battery, and performance cost of running the VM locally. Also, people didn't love that closing your laptop means the work stops. The "new" version of Cowork runs model inference and the VM in the cloud. Each session gets its own sandbox, not sharing state with other sessions. When the VM needs something on the users' device (like a file), the desktop app is responsible for that file access tool call. To be clear, Claude will only access files in folders that the user explicitly added to the session, the same way Claude only saw files explicitly added to the VM in the "old" version. Sandboxes are destroyed when the session ends! We think this solves a lot of problems we've heard about (like using Cowork from a phone, keeping work running, or getting all the same power without losing battery to the VM) - but we'll keep iterating on new feedback we hear!
DogeDesigner@cb_dogeAI 评分88
DogeDesigner@cb_dogeAI 评分1212
Rohan Paul@rohanpaul_aiAI 评分4545
Rohan Paul@rohanpaul_aiAI 评分6060

引用Rohan Paul@rohanpaul_aiOpenAI's median researcher used $601 of coding-agent inference a day at API prices, up from under $1, in January 2026. Eoch AI's new report. > OpenAI researchers' coding-agent usage, valued at API list prices, is doubling roughly every month > By mid-August 2026, the median researcher used $601 a day and about $2M a year, roughly matching or exceeding what employing a researcher costs. > This pace probably can't last, since one more year would reach about $185M per median researcher, and list-price figures reveal nothing about what OpenAI actually spends.
OpenAI Developers@OpenAIDevsAI 评分3838如果你常驻终端,这条就是为你准备的。 看看如何用 Codex CLI 通过语音启动任务、跨项目管理智能体,并在独立 worktree 中探索另一个方向。

elvis@omarsar0AI 评分5151作者用 @pidotdev 的 Pi Durable 快速搭起一个个人智能体,作为主动式个人智能体的实验场,之后计划开源。

Ethan Mollick@emollickAI 评分3535关于 Claude 或 OpenAI 使用情况的报道,太多都集中在同一小批拥有竞品和庞大自有云基础设施的科技公司上。 外面还有非常非常多的公司,它们并非直接竞争对手,它们的使用趋势会更有参考价值。
引用NIK@ns123abc🚨BREAKING: Microsoft and META are aggressively cutting employee use of Claude ahead of Anthropic's IPO Microsoft has cut internal claude spend by more than 33%, nuked per-employee token budget from $100k/month to $10k/month, and forced Copilot to auto-route to cheaper models META used Claude code to build Muse, then cut active users from 60,000 to 30,000 (50% decline) after launch, and replaced it with Muse Code Palantir and Nvidia are also scaling back claude over soaring prices and data privacy fears it’s OVER…
Chubby♨️@kimmonismusAI 评分5959The Information 报道,Microsoft 将内部使用 Anthropic 的预计年支出从至少 10 亿美元下调超过三分之一,要求员工少用 Claude、多用自研 AI 工具。

Alexandr Wang@alexandr_wangAI 评分77引用Atherton Hobo@athertonhoboBREAKING: NEW CIA LEAK REVEALS THAT MUSE WAS IN FACT BEHIND THE ASSASSINATION OF OSAMA BIN LADEN, HAVING FIRED THE KILLING SHOT
Thariq@trq212AI 评分5858引用Dan Fein@dfeinitionYour Claude Projects cloud session can now connect to a folder you approve on your computer. The session stays in the cloud and only reaches for that local folder when a task needs it, reading and editing the files in place. Starting to roll out today.
Noah Zweben@noahzwebenAI 评分5353Claude 现在可以加入 Slack 群组私信,像添加普通成员一样添加它。它会在线程中回答并持续跟进,DM 中的任何人都能在该线程回复并触达它,还可以使用提问者个人的 connectors。
引用Dan Fein@dfeinitionYour Slack group DMs can now include Claude. Add it the same way you'd add anyone else. Claude answers in a thread and keeps following it, so anyone in the DM can reply there and reach it. It can also use the personal connectors of whoever asks.
Hao AI Lab@haoailabAI 评分4949引用Hao AI Lab@haoailab🚀 We let Jev play Minecraft. And we just can't beat it! 😭 ⚡ Jev: 24 ms decisions 🧠 You: ~200 ms reactions It moves before you even see it move. Way too strong! 🎮 https://mc.alexzms.com (join the server to win)
Dongxi 东锡 NLP@dongxi_nlpAI 评分5454引用Reflection@reflection_aiIntroducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: http://reflection.ai/beam
Chubby♨️@kimmonismusAI 评分6464引用Chubby♨️@kimmonismusHoly sh*t, Anthropic’s subscriptions offer so much more value, even compared to the new and efficient GPT-6.1 Sol. It’s not even close. SemiAnalysis puts Opus 5.5 at over 5x the API-equivalent value of GPT-6.1 Sol for agentic workloads at the same subscription price. It’s not even close on this measure. And on top: OpenAI just halved the usage limits on its $200 ChatGPT plan.
Artificial Analysis@ArtificialAnlysAI 评分5252引用Reflection@reflection_aiIntroducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: http://reflection.ai/beam
Thomas Wolf@Thom_WolfAI 评分3030引用David@DavidSHolzi asked LLMs to have fun, write down what happened, then rate who had the most fun. the newer models seem to have less fun! many models played word games, but opus 4.6 won over and over by imagining brief worlds made up of contradictions living inside falling water droplets 🥺
OpenAI Developers@OpenAIDevsAI 评分1414
Nathan Lambert@natolambertAI 评分4343
dex@dexhorthyAI 评分6262HumanLayer 的 Dex Horthy 分享跨会话、压缩和新会话场景下的上下文工程技巧。核心做法是把所有重要的上下文和决策写入 artifacts 中的文档(如设计。
Charlie Holtz@charlieholtzAI 评分3030
Chubby♨️@kimmonismusAI 评分6262
引用SemiAnalysis@SemiAnalysis_Anthropic Subscriptions Offer 5x+ More Value Than OpenAI Limit testing every AI subscription plan from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Zdotai, Cursor, and Cognition https://newsletter.semianalysis.com/p/anthropic-subscriptions-offer-5x
🚨 AI News | TestingCatalog@testingcatalogAI 评分3131GOOGLE 🔥:Nano Banana 2.1 似乎已在 Google Flow 上线。 但其输出看起来与 Nano Banana Pro 生成的相似,因此尚不清楚请求是否真的被路由到了新模型。
引用AiBattle@AiBattle_Nano Banana 2.1 is live on Google Flow
Replit ⠕@ReplitAI 评分3636
Ethan Mollick@emollickAI 评分2929眼下 AI 政策,尤其是各大实验室的做法,让我想起这首诗。 如果你相信超级智能近在眼前,你就不必为如何构建 AI 让世界变得更好而做艰难抉择。只需等待 ASI,它会替我们决定。但如果这没有发生……

🚨 AI News | TestingCatalog@testingcatalogAI 评分2121
Rohan Paul@rohanpaul_ai精选AI 评分6565
引用Reflection@reflection_aiIntroducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: http://reflection.ai/beam
推荐理由:作者在转发基础上补充了效率估算口径和 headline 图表外的对比数据,帮助读者更冷静地看待 Beam 对 GLM-5.2 的领先说法。
Cohere@cohereAI 评分2323
Tibo@thsottiauxAI 评分2121Sergio 正在 ChatGPT 里打造协作空间的神奇功能。每天都在突飞猛进。
引用Sergio Mattei@matteingWe weren't kidding. Let's talk about Space. ✨ Have you tried Space yet? What's good or bad about it? What could we improve? We're locked in and shipping fast. 👀