Amom @amom
二十年互联网行业从业者,未来的二十年关注&参与投资、AI、智能汽车 Beijing Joined March 2007-
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Tailscale without Tailscale, by Tailscale. Meet tailcat. tailcat is an open-source Go package and CLI that lets you use Tailscale’s data plane without the control plane. No accounts, logins, admins, or IPs to manage. Learn more → buff.ly/MBqj8sF
Someone asked what I'd do if I were 17. I'd learn how to build LLMs from scratch, and then train ones as powerful as I could with whatever hardware I could get access to.
高利润率的前提是少数大模型公司能保持模型的领先度,而且差距要大。我对此保持怀疑,纯模型的利润率一定会被打下来。
有个预感, OpenAI 和 Anthropic 未来上市后的财报,很可能会成为这一轮 AI 行情真正的分水岭。 这几年,市场交易的是愿景、故事和想象力。AI 能不能改变世界,很多人已经不怀疑了,真正的问题在于AI 到底能不能在未来几年赚钱。 互联网时代最伟大的公司,往往都有极强的规模效应。Google
不是可能,就是有问题。人的大脑在不同事情中切换,尤其是需要思考的问题中切换是非常低效的,因为也有上下文信息以及基于信息的深度思考
很多人说用 AI 编程就该开 5 到 10 个窗口并行跑。Anthropic 的工程师也这么说。但我实际体验下来,发现这件事有一个前提条件,大多数人没提。 纯编程任务,并行确实容易。你事先把 Plan 写好,分成不同的
That's exactly why OpenClaw matters so much this year.
When it comes to cloud-based LLM, underlying demand remains extremely strong — vast consumer usage potential hasn’t even been unlocked by existing products yet. Over the next twelve months, however, massive latent demand will be fully unleashed
When it comes to cloud-based LLM, underlying demand remains extremely strong — vast consumer usage potential hasn’t even been unlocked by existing products yet. Over the next twelve months, however, massive latent demand will be fully unleashed
I don’t see it as a case of excess compute capacity at all. What xAI’s move really shows is that model training has become extremely centralized, making it incredibly hard for new players to catch up or break into the top tier.
I don’t see it as a case of excess compute capacity at all. What xAI’s move really shows is that model training has become extremely centralized, making it incredibly hard for new players to catch up or break into the top tier.
Hot take on Elon’s surprise decision to rent 30 megawatts of compute to Anthropic: 1. It’s a tacit concession that xAI is not all that close to AGI (despite what he suggested last year). 2. It’s more evidence that pure scaling doesn’t get you to AGI. 3. If xAI turns out to be
Besides how the tool manages context, does the way people use it also affect token usage a lot?
Two days ago, Anthropic cut off third-party harnesses from using Claude subscriptions — not surprising. Three days ago, MiMo launched its Token Plan — a design I spent real time on, and what I believe is a serious attempt at getting compute allocation and agent harness
我们可能要辨别一件事儿,当下AI能力的大发展,对于我们当前的这批人而言,有点像远古时代最先掌握火这样工具的人。有了这个工具,你用来干什么,其实是接下来最重要的事儿
随着AI模型能力的提升,竞争已经从模型本身转向如何高效管理和协调这些AI Agent。关键在于构建一个“操作系统”式的驾驭系统(Agent Harness),来管理AI代理的上下文、工具调用、生命周期以及在生产环境中所需的规划、文件访问、子代理协调和验证循环等功能。
LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below
New Infrastructure in the Age of AI
agent-browser is now fully native Rust. The results: 1.6x faster cold start. 18x less memory. 99x smaller install. Less abstraction means faster shipping, more control, and capabilities that weren't possible before. Now with 140+ commands across navigation, interaction, state
agree
很可能中国领导层已经完整地计算了这场战争的政治账。从这几天的外交姿态看来,中国一开始是要求开放海峡,现在已经变成了摆姿态式的“劝和促谈”。也就是说,开放不开放对中国没所谓:从"积极开放海峡"过渡到"接受封锁现状并从中获益"。
大多数 AI 产品仅仅给人带来“高效”的感觉,但并未真正推动企业价值的增长。高效的个体并不等于高效的企业。
那些能够利用 AI 放大自身判断力、提供更高质量、更快、更划算服务的律师将脱颖而出,而那些依赖机构品牌或被 AI“套壳”产品限制的律师将面临被淘汰或商品化的风险。
Introducing the new /crawl endpoint - one API call and an entire site crawled. No scripts. No browser management. Just the content in HTML, Markdown, or JSON.
Price of 12 eggs (USD) 🥚 1.🇮🇳 India - $0.91 2.🇮🇷 Iran - $1.10 3.🇧🇩 Bangladesh - $1.17 4.🇵🇰 Pakistan - $1.19 5.🇻🇳 Vietnam - $1.49 6.🇮🇩 Indonesia - $1.53 7.🇧🇾 Belarus - $1.60 8.🇨🇳 China - $1.60 9.🇺🇿 Uzbekistan - $1.68 10.🇰🇿 Kazakhstan - $1.71 11.🇷🇺 Russia - $1.73 12.🇮🇶 Iraq - $1.75 13.🇽🇰 Kosovo - $1.77 14.🇺🇦 Ukraine - $1.78 15.🇲🇽 Mexico - $2.57 16.🇧🇷 Brazil - $2.19 17.🇨🇴 Colombia - $2.25 18.🇲🇰 North Macedonia - $2.26 19.🇲🇩 Moldova - $2.43 20.🇷🇸 Serbia - $2.62 21.🇵🇪 Peru - $2.67 22.🇵🇦 Panama - $2.68 23.🇦🇷 Argentina - $2.79 24.🇻🇪 Venezuela - $2.82 25.🇧🇦 Bosnia and Herzegovina - $2.82 26.🇪🇪 Estonia - $2.90 27.🇰🇷 South Korea - $2.87 28.🇱🇹 Lithuania - $3.25 29.🇲🇪 Montenegro - $3.26 30.🇪🇸 Spain - $3.27 31.🇭🇺 Hungary - $3.34 32.🇵🇹 Portugal - $3.37 33.🇱🇻 Latvia - $3.37 34.🇷🇴 Romania - $3.38 35.🇨🇿 Czech Republic - $3.43 36.🇧🇬 Bulgaria - $3.45 37.🇫🇮 Finland - $3.52 38.🇵🇱 Poland - $3.56 39.🇨🇦 Canada - $3.57 40.🇦🇱 Albania - $3.82 41.🇭🇷 Croatia - $3.87 42.🇩🇪 Germany - $3.88 43.🇸🇮 Slovenia - $3.90 44.🇲🇹 Malta - $3.92 45.🇸🇰 Slovakia - $3.92 46.🇬🇧 United Kingdom - $3.99 47.🇧🇪 Belgium - $4.11 48.🇮🇹 Italy - $4.23 49.🇮🇪 Ireland - $4.33 50.🇺🇸 United States - $4.39 51.🇫🇷 France - $4.37 52.🇬🇷 Greece - $4.51 53.🇸🇪 Sweden - $4.54 54.🇦🇹 Austria - $4.87 55.🇳🇴 Norway - $4.89 56.🇱🇺 Luxembourg - $4.89 57.🇳🇱 Netherlands - $5.00 58.🇩🇰 Denmark - $5.07 59.🇨🇭 Switzerland - $7.91 Source: Numbeo
we just wrote the ultimate beginner's guide to OpenClaw almost everyone @every has one now, and they have completely changed the way we work and live. we're using our claws to: - build product - answer customer service queries - book hard-to-get restaurant reservations - track our reading notes and much more this is the guide we wish we'd had at the start: every.to/guides/claw-sc…
橡树资本霍华德的最新备忘录,对 AI 领域投资既不要“孤注一掷”承担毁灭性风险,也不要完全置身事外而错失重大技术进步的机会。AI 将彻底改变投资行业,通过高效处理数据和识别模式来提升业绩,但人类投资者仍可在处理独特情境、定性判断和直觉风险感知方面保持优势。 oaktreecapital.com/insights/memo/…
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