@kirillk_web3 All that money and he still looks like an Asian lesbian 😂

My AI agent doesn't live in a chat window. She lives on my studio wall 🌅 Pi 5 + laser projector + No screen, no app — just her, floating on the wall, changing state as she works. We talk out loud — she listens, and answers back in her own voice. @alexandr_wang @natfriedman — your @muse SDK escaped the gadget and moved in! Still a work in progress — new senses coming..

Unless you're Jolly. Then, you can rest up knowing Homie @Matic's gotchu covered.

我觉得豆包手机就是未来手机应该有的样子。只可惜，这是中国互联网永远等不来的未来。 今天看到豆包手机助手公布的最新名单，153 款 App 明确拒绝 AI Agent 进行屏幕自动化操作。微信、QQ、淘宝、支付宝、美团、拼多多、小红书，甚至 DeepSeek 和 Kimi 都在里面。 我其实一直挺看好豆包手机的。过去十几年，智能手机的发展几乎都是围绕 App 展开的，我们每天花大量时间在不同 App 之间切换，自己搜索、比较、点击、填写信息。现在终于有了一种新的交互方式，你只需要告诉手机想做什么，剩下的交给 AI。 我觉得这才是 AI 时代手机应该发生的变化。 但问题也恰恰出在这里。 如果 AI 可以替用户点外卖、订机票、买东西，用户就不再需要反复打开那些 App，更不会按照平台设计好的路径去浏览商品、观看广告、接受推荐。 对于用户来说，这当然是好事。但对于那些花了十几年、几百亿才建立起流量入口的互联网巨头来说，这简直是在动它们的命根子。 过去这么多年，中国互联网最擅长的事情之一，就是把用户困在自己的生态里。链接不能随便跳，数据不能随便拿，服务也很难跨平台调用。每家公司都想成为用户的唯一入口。 现在 AI 终于有机会把这些割裂的服务重新连接起来了，结果大家又开始关门。 更有意思的是，几乎所有这些公司都在大谈 Agent，都在宣传 AI 将如何改变未来。 我相信豆包手机代表的交互方式迟早会成为主流，也相信技术问题会一个个解决。但技术进步从来不意味着既得利益者会主动让路。 中国互联网什么都不缺，模型、工程师、产品能力、庞大的用户市场，我们都有。 唯独缺一个愿意让别人进来的互联网。 我们可能比任何时候都更接近下一代手机，却依然被困在上一代互联网里。

Get Mad! Then get in the cannon with muse @boneGPT

Pros: - writing & "voice" - capabilities are on par with 6.1 sol (in non specialized things like computer use or 3d, they didn't RL on those this time) - orchestration Cons: - seriously wtf is this naming scheme you guys are making gpt-5.2-codex-high-fast seem sane - price/usage limits (tho they're working hard on fixing this) - can only use the good one (full) in muse code through the sub. no API

String theory is what happens when an intelligent system is starved of sensory input and starts hallucinating. Intelligence needs grounding. For this reason, intelligence is practically never the bottleneck to solving impactful problems. The bottleneck is iterated contact with reality.

LIVE: The full How I AI bench on Muse Wonder (and Wonder Full) - the new frontier model by @AIatMeta I really loved how it handled agentic tasks, really hated what it designed. Still TBD: will I reach for it every day? Full ep on YT: https://www.youtube.com/watch?v=dChiPsd0uF4

Gemini 4 Argon has proven to be outright unusable for real code work in my codebases. It aggressively hallucinates about how systems work.

Perplexity this, Cohere that, what if you said something coherent so she wasn’t so perplexed

Clef, the new decision model family from Cloudflare (@Cloudflare), is now available on Merge Gateway. Clef-flash answers in a median 39ms, and in Cloudflare's tests Clef came out ahead of Jev on 3 of 4 workflow evals. Use it to route a ticket, flag a risky upload or pick an agent's next step, all faster than you can blink. Try it out: http://gateway.merge.dev

Introducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model. It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.

come say hi at cloud coffee happening this thursday at SŌHN!

Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg

这个Anthropic披露的文件是真的吗？ 2021年7月 - 讨论1T模型的训练和RL - 讨论硬件的风险，TPU，Trainium - 讨论language，code，diffs，PRs，等数据集的构造 - 讨论各种各样的coding工具 - 讨论各种scaling law，reward model，test time compute，long context，memory - 讨论RL for tool use？？？ 每一个单词现在看完全不吃惊，但在当时2021，同时出现在一个文档，让我再次惊叹，人的认知差距可以跨这么多年吗 https://i.smitop.com/concise-research-roadmap.pdf

Origin, Cursor’s code hosting platform, now supports over 20 integrations. Connect your repos to tools for CI, deployments, code review, security, monitoring, and project management.

We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.