N
ARCHIVE
内容归档
正文、图片和 Markdown 均已本地保存，不包含回复区。
F
源： x.com/chrisbarber/st… Chris Barber @chrisbarber I asked people which neolabs under $10B have the highest talent density: 32 votes: Core Automation ( @MillionInt , @_arohan_ ) 26 votes: Periodic Labs ( @LiamFedus , @ekindogus ) 20 votes: Flapping Airplanes ( @spectorb , @amspector100 , @aidanmantine ) 18 votes: Standard Intelligence ( @G413N , @devanshpandey ) 8 votes: Ricursive ( @annadgoldie , @Azaliamirh ) 5 votes each: - Ineffable (David Silver) - Mirendil ( @bneyshabur , @HarshMeh1a , @shayan_ , @tararezaeikh ) - Recursive ( @RichardSocher , @_rockt , @timshi_ai , @josh_tobin_ , @CaimingXiong , @jeffclune , @tydsh , Alexey Dosovitskiy) 3 votes each: - Applied Compute ( @ypatil125 , @rhythmrg , @lindensli ) - Isara ( @ezhang7423 , @hegasz ) - Prime Intellect ( @vincentweisser , @johannes_hage ) 2 votes each: - Elorian ( @AndrewDai , @yinfeiy , @SethInternet ) - Goodfire ( @eric_ho , @DanJBalsam , @banburismus_ ) - Inherent ( @tantumscollins , @edwardfhughes , @LouisKirschAI , @kallyaleksiev ) - Trajectory ( @rronak_ , @QuantumArjun , @MichaelElabd ) - World Labs ( @drfeifei , @jcjohnss , @BenMildenhall , @chlassner ) People couldn't pick a company they work at or founded. Disclosure: I'm a small investor in Applied Compute, Factory, Standard Intelligence, Trajectory and Wafer. I didn't vote. Continued: 🔗 View Quoted Tweet
F
F
O
F
F
S
G
Totally disgusted with Anthropic at this point. Their proposed bill undermines everything they ever said and gives them considerable exemption from liability, eg an incidents in causing half a billion dollars of damage or killing dozens of people. Sneha @SnehaRevanur A huge part of Anthropic’s founding logic was that if a safety-motivated company was at the frontier, it could use its megaphone to lobby the rest of the world toward caution. Now the dress rehearsal stage of AI policy is over. The new test is “how hard should it be for the government to block us from deploying, including internally, an unacceptably dangerous model?” Turns out in the grand 26 (Jack Clark says it’s likely full RSI will be possible one year from now), Anthropic has been planning to approach the U.S. Congress with the answer “it should be even harder than it currently is” 🔗 View Quoted Tweet
R
O
O
O
D
rust是个好语言，但大项目编译速度太慢，这让agent得到反馈的速度很慢，加上资源消耗奇大，并行几个任务普通机器跑不动。 所以我现在只是局部核心组件用，其他还是回归传统 Electron jolestar @jolestar 这次 Rust 大会的主题是 Rust and AI。而 Rust 常被人诟病的一点是编译废 CPU、产物废磁盘，AI 堆 Rust 代码的速度也明显慢于其他语言。 但反过来想，这个“缺点”在当下可能恰恰是一个特性：一个项目如果选择用 Rust 开发，至少说明作者和 AI 认真讨论过语言选型，并且做好了长期维护的心理准备——它是奔着建立长期关系去的，而不是 one night :)。如果只是想写个临时脚本或一次性工具，AI 绝不会推荐 Rust。在这个意义上，Rust 的高门槛和高成本，反而成了一种 PoW（工作量证明）。 当 AI 让代码生成成本趋近于零、开源软件产品出现无限供给时，用户和社区该如何筛选项目？最真实的观察指标只有持续维护。大家可以回头看看年初 vibe coding 最火时涌现出的海量开源项目，到现在还在更新、作者自己还在天天用的，还剩多少？我相信寥寥无几。 我自己的切身体会是：你需要一个工具，花半天让 AI 搓出来；当你开始天天用它时，接下来整整一周你都在修各种边界条件；如果你把工具分享给别人，考虑到不同的设备、运行环境、用户习惯，以及长期运行会不会撑爆内存和磁盘，至少还得再修上一个月。AI 极大降低了“写出代码”的成本，却丝毫没有降低“承担后果”的成本。 这也反向定义了 Rust 在 AI 时代的生态位：动态语言把原型成本降到极低，却把并发、内存与边界 bug 的暗税全部延后到运维期；而 Rust 则逼着作者在第一天就把系统契约和确定性锁死。在垃圾代码无限供给的时代，唯有维护的决心和编译期的确定性是有价值的。除非确实找不到替代品且自己极度依赖，否则真的划不来随便自己造轮子；而一旦决定自己做，且选了 Rust，那就意味着一场严肃的长期主义工程。 🔗 View Quoted Tweet
O
O
Great application of small language models from Salesforce and colleagues. AI-scientist pipelines are well known to struggle to propose novel and diverse research ideas. This team trains an 8B reasoning model to write several research ideas in one generation from a set of source papers. The reward scores the whole set, weighting each idea's quality by how far it sits from the ideas written before it. The model learns to move each new idea away from the earlier ones. On their contamination-free benchmark, the 8B model scores higher on creative utility, a measure that combines quality and diversity, than Claude Opus 4.8 and GPT-6 Astra. arxiv.org/abs/2610.22324 Chat with Paper: academy.dair.ai/papers/trainin…
O
✈ DeepSeek-V4.1-Flash-1017 is on Ollama! US-based hosting with zero data retention. It's strong on agentic tasks while being cheaper per task. Try it on Ollama Cloud: ollama run deepseek-v4.1-flash:1017-cloud Claude Code: ollama launch claude --model deepseek-v4.1-flash:1017-cloud OpenCode: ollama launch opencode --model deepseek-v4.1-flash:1017-cloud DeepSeek @deepseek_ai 🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness , Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4 🔗 View Quoted Tweet
A
Ben Horowitz on what it would take to actually see an AI "fast takeoff" scenario, using a framework from Databricks CEO @alighodsi : 1. Each new model needs far fewer GPUs than the last 2. Each new model takes less time to train 3. Each new model is more accurate than the last 4. It keeps happening, again and again "Zero of those four have been met... We're really talking about a risk that's entirely theoretical at this point." @bhorowitz on @theallinpod 🔗 View on Twitter
含视频地址
D
OpenCode 遭入侵，1.4% 的 Console 用户受影响；没收到邮件就没受影响 OpenCode 10 月 17 日发帖说，前一天晚上发生了一起安全事件，和一次大规模“蒸馏攻击”有关，受影响的是 1.4% 的 OpenCode Console 用户。 怎么知道自己有没有受影响？看邮箱。官方说 17 日上午已经给所有受影响的用户发了邮件，没收到邮件就是没受影响。受影响的是 Console 里绑定了外部服务商的一部分用户，没绑定的不在其中。 收到邮件该怎么办，官方公开的帖子没写。据 OfficeChai、Notebookcheck 等科技媒体转述，邮件里说“工作区里保存的第三方服务商密钥（比如 OpenAI、Anthropic）可能已经泄露”，要求用户到各家服务商后台作废旧密钥、换成新的，更新用到这些密钥的程序，再查一查最近的用量有没有异常。这部分来自媒体报道，OpenCode 的公开帖里没有。 OpenCode 说事件还在处理中，暂时不能透露更多细节，正在和 Anthropic、OpenAI、Google 一起处理。 媒体报道： officechai.com/ai/opencode-di… OpenCode @opencode We had a security breach last night related to a large scale distillation attack that impacted 1.4% of OpenCode Console users We have notified them all this morning via email. If you did not get an email you were not impacted, it was a subset of users who had external providers linked The incident is ongoing so we cannot share more details at this point but we are working with Anthropic, OpenAI, and Google to remediate 🔗 View Quoted Tweet
O
Working on getting our US hosts up and running. Very soon! DeepSeek @deepseek_ai 🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness , Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4 🔗 View Quoted Tweet
A
Perplexity Decider Flash is pretty good and can run super fast and on-device on your M4 Mac 16GB Wolfram Ravenwolf @WolframRvnwlf Perplexity Flash takes the crown! ⚡ In our tests, it matched Wald's accuracy at nearly twice the speed on a 16 GB Mac mini. Synthetic agent decisions, real email threads, prompt injections: see why Flash is our new pick for email-completion checks. 👇 x.com/i/article/2111… N 🔗 View Quoted Tweet
P
Product Shot turns your kitchen-counter photo into a studio shot without leaving ChatGPT. Even corn gets the campaign treatment. Pika @pika_labs Creative work demands a visual environment. So we partnered with OpenAI to turn ChatGPT into one. Introducing the Pika X ChatGPT plugin extension. All of Pika’s creative tools are now directly in your chat and side panel, in a new interactive creation experience. More on what’s new 👇 🔗 View on Twitter 🔗 View Quoted Tweet
含视频地址
O
Mind-blowing to see these Pareto improvements in performance and cost. More than anything, it's crazy how quickly these improvements are landing across providers. This matters a lot to builders. DeepSeek @deepseek_ai 🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness , Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4 🔗 View Quoted Tweet
C
C
N
A
Gavin Baker on the other side of Ben's bandwidth story: at the peak of the 2000 bubble, 97% of America's fiber sat dark, and today there are no dark GPUs. "I had, depending on how you look at it, the privilege and the misfortune of being a tech investor during the year 2000 bubble, which was really a telecom bubble." "The year 2000 bubble was defined by something called 'dark fiber.' Dark fiber was literally fiber that was laid down in the ground, and not lit up... At the peak of the bubble, 97% of the fiber that had been laid in America was dark." "Contrast that with today. There are no dark GPUs. All you have to do is read any technical paper, and one of the biggest problems in a training run is that GPUs are melting." @GavinSBaker 🔗 View on Twitter a16z @a16z Ben Horowitz on the lesson LoudCloud, his early cloud company, taught him about today's AI neoclouds, and why they now face the opposite problem: "It can end up being like a very dangerous arbitrage business, where you can get upside-down easily. And so if you look at LoudCloud, just as an example, here's a simple thing that happened to us." "In 1999, bandwidth was $1,500 a megabit. And you couldn't get it. It was very hard to get it. And so you had to get a long-term contract, three years. By 2001, it was $50 a megabit... And if you borrowed money to get it, you're dead." "That kind of thing is so out of the control of the entrepreneur." "I think the core dynamic of AI has been working for CoreWeave, though, in that there's a massive shortage, not an overage of supply... Token prices have gone down, but GPU prices have not." "And by the way, data center space is going up in price because even labor to build data centers is hard. The politics are making it hard to build data centers. So the whole supply chain price is going up and demand is not subsiding." "Those are very big tailwinds for CoreWeave, despite the fact that the debt markets, kind of independent of them, are tough." @bhorowitz w/ @chamath on @allinpod 🔗 View on Twitter 🔗 View Quoted Tweet
含视频地址
P
Product Ad gave this armchair a full commercial, voiceover and all, straight out of ChatGPT. 🔗 View on Twitter Pika @pika_labs Creative work demands a visual environment. So we partnered with OpenAI to turn ChatGPT into one. Introducing the Pika X ChatGPT plugin extension. All of Pika’s creative tools are now directly in your chat and side panel, in a new interactive creation experience. More on what’s new 👇 🔗 View on Twitter 🔗 View Quoted Tweet
含视频地址
A
AI is helping Americans shop, but 42% don't trust it to make a purchase yet Even in the most popular categories, only about a quarter would let AI choose and buy for them: - 27% for clothing - 26% for electronics - 25% for travel Charts of the Week: a16z.news/p/this-week-in… a16z @a16z More than 1 in 3 Americans bought something based on an AI recommendation in the past year 44% say AI helps them find better value for money 34% would pay more for a product if AI showed it was the best option for them Charts of the Week: a16z.news/p/this-week-in… 🔗 View Quoted Tweet
P
You bring the idea, ChatGPT brings Pika, and Camera Director turns it into a full cinematic short. Director's chair not required. 🔗 View on Twitter Pika @pika_labs Creative work demands a visual environment. So we partnered with OpenAI to turn ChatGPT into one. Introducing the Pika X ChatGPT plugin extension. All of Pika’s creative tools are now directly in your chat and side panel, in a new interactive creation experience. More on what’s new 👇 🔗 View on Twitter 🔗 View Quoted Tweet
含视频地址