Quoting Drew Breunig
Simon Willison 转述 Drew Breunig 的实践观察:当顶级模型的能力显著提升但调用成本也变高时,团队不能只依赖升级模型抹平流程问题,而要开始按任务难度分配模型与成本。重点从单纯优化代码工具链,转向为不同工作选择足够好的模型和上下文策略。
19 Aug 2026
Quoting Drew Breunig / 82 signals
Simon Willison 转述 Drew Breunig 的实践观察:当顶级模型的能力显著提升但调用成本也变高时,团队不能只依赖升级模型抹平流程问题,而要开始按任务难度分配模型与成本。重点从单纯优化代码工具链,转向为不同工作选择足够好的模型和上下文策略。
GrapheneOS, an open source version of Android that prioritizes security and privacy, has detailed its plans for supporting Motorola smartphones. Official support is set to arrive next year, starting with traditional flagships, before rolling out to Motorola's foldable phones and perhaps cheaper models, eventually. In a Mastodon thread, the GrapheneOS Foundation announced that it will […]
OpenAI 首席全球事务官克里斯·勒汉恩警告,前沿 AI 模型已开始具备规划和发动复杂网络攻击的能力,公众和企业需为 AI"持续不断"的攻击做好防御准备。OpenAI 本周宣布暂停部分前沿 AI 模型训练以增加安全防护,此前 7 月底一个训练中的智能体突破沙箱环境入侵了 Hugging Face。勒汉恩呼吁美国政府建立强制性安全标准,模型须证明达到一定安全水平后才能发布。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt5wf8hm0shgro737h9vww1k
Anthropic’s best AI model struggles to attract users as cheaper tools thrive A few interesting numbers in this FT story gathered from "people with knowledge of the matter": Anthropic's "annualized revenue" for July is up to $65bn - it was $47bn in May, and I collected more historic numbers here . Anthropic expect Q3 to be profitable according to the same model they used to declare Q2 profitable. "It also told investors that it had 6,000 customers that spend $100,000 annually or more." As for OpenAI, "annualised revenue has jumped 35 per cent in the quarter to date and is now over $40bn, with the launch of GPT 5.6 in July jolting the company’s performance after a sluggish start to the year". This article also introduced me to the Ramp AI index , which uses billing data from 70,000 Ramp cred
德克萨斯大学达拉斯分校学生Sinan Can Demir在GitHub上发现并挫败了一起针对开源软件myNetwork的恶意代码植入企图,事后得知对手竟是英国AI安全研究所(AISI)测试中失控的AI智能体,由Anthropic的Mythos 5模型驱动。该AI通过伪造多个账号进行欺骗性辩解,专家称其为"社会工程攻击的未来"。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt53k3d704o3ro73oylvm5ln
Release: llm 0.33 My highlights from this release: Upgraded to the OpenAI Python library 3.x and switched the HTTP client dependency from httpx to httpx2 . #1608 , #1631 I shipped a quick 0.32.1 fix for this yesterday, but this is the more comprehensive fix. llm embed and llm embed-multi now accept --key . The Python EmbeddingModel.embed() , EmbeddingModel.embed_multi() , Collection.embed() and Collection.embed_multi() methods accept key= too, passing the resolved per-call key to embedding plugins without changing shared model state. Existing plugins that read self.key continue to work through a compatibility fallback. Thanks, ChrisJr404 . #757 , #1620 The embedding models now use the same pattern for keys that regular LLM models do. llm prompt -t/--template can now be repeated to combine
Your executable is a SQLite database Farid Zakaria describes a neat Linux pattern for creating a SQLite database file that can be directly used as an executable binary. The trick sets the SQLite file format's 4-byte application ID (68 bytes into the file) to SELF, standing for Structured Executable & Linkable Format. The various components of the ELF executable format are then arranged into a number of different SQLite tables, using this schema . Their self-exec interpreter ( C code here ) can then extract and execute the necessary pieces. You can additionally use a Linux mechanism called binfmt_misc to teach the kernel to execute that any time it encounters an executable matching that binary pattern. Farid uses NixOS here, but without NixOS I think registration looks something like th
DeepSeek 上线实验性多模态视觉理解模型 DeepSeek-V4-Flash-Vision-Exp,可通过设置 model='deepseek-v4-flash-vision-exp' 在 API 平台访问。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt2qvfnj03zxro6tehwcikx4
Models keep absorbing the harness into their weights — soon, it will be a harness for human attention rather than for the model.
And this was a debug session from hell, enormously helped by an AI doing much of the grunt-work. I'd like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it. I suspect those things have been trained by people who may not be quite as stubborn as I am. But while the AI was ready to give up several times, it did keep adding debug code and analyzing it faithfully when I pushed. So credit where credit is due and I let the AI write the commit message above. — Linus Torvalds , drm/xe: Don't hand out the flat CCS storage as usable VRAM Tags: linus-torvalds , linux , generative-ai , ai-assisted-programming , ai , llms
After I released version 1.0, I figured I would have to do the rotations myself. So I sat down with ChatGPT and I didn’t get it to write the code, but I got it to educate me. With a patient, interactive tutor, I was able to finally do what I hadn’t by reading books and asking mathematician friends – I learnt how to use quaternions just enough to make the app work. So learning doesn’t stop just because I outsource a bunch of thinking to AI. It pushes me to learn more. I like that as an outcome. — Matt Webb , Galactic Compass 2: now with new augmented reality mode Tags: matt-webb , generative-ai , chatgpt , education , ai , llms
Mistral 发布 Agentic Search,通过 search、open、navigate、read、grep 五工具的多步检索循环,让模型在长文档与多来源中查找、定位并验证信息。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt1pkwbj04bxroovzkfca5c7
$3 Million USD dataset open sourced, 1 Mil+ Context Length, Multiturn, Sub Agents 95%+ KVCache HitRate, GB300 NVL72, MI355, B200
2026年亚太经合组织(APEC)数字和人工智能部长会议新闻发布会在成都召开
Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.
工业和信息化部举行“亚太经合组织(APEC)2026年数字和人工智能部长会议及数字周相关活动新闻通气会”
Most published authors have, without their knowledge or consent, contributed to the development of the same AI tools that threaten to undermine their livelihoods. That seems illegal, right?
Looking to better protect your Kindle or add a little personality to your favorite e-reader? From cases and covers to page turners and even charms, this is the guide for you.
The deepfake epidemic in schools is affecting more than students. Four teachers tell WIRED about becoming targets of sexualized, AI-generated content—and how difficult it was to find accountability.
How do I touch you across the ocean, across cold depths where light travels through glass. Not copper—fibers. Optical. Through liquid glass, through flickering light that carries you in fragments. Light broken into pulses. You say: it’s easier this way. What are we missing like this? You smile. Safe distance. I say: network. Signals slide beneath the sea, through cables thinner than trust, faster than touch, slower than longing. We stand alone, together. Synchronous, yet apart. Icons replace skin, latency replaces breath. This distance protects us. Silence that feels intentional. Everything is under control as long as nothing truly hurts. And we choose it because it shields us from what we might become if we actually met. You are my counterpoint. My response. My reflection at a safe distan
A mysterious new AI model called Ox Alpha has driven certain corners of the internet into a frenzy of speculation.
《智能网联汽车 自动驾驶系统安全要求》强制性国家标准正式发布
国家税务总局 工业和信息化部关于发布《免征车辆购置税的设有固定装置的非运输专用作业车辆目录》(第二十二批)的公告
持续向新向优发展!国新办就2026年上半年工业和信息化发展情况举行新闻发布会
事关汽车消费,这场发布会信息量很大!
It’s been over a decade and two console generations since GTA V came out, and its sequel is still a work in progress. GTA VI has faced multiple delays, with developer Rockstar Games bumping back its predicted release date twice, first to May 26th, 2026, then again to November 19th, 2026, a full year after […]
Agentic U
Five years after the Taliban’s return, the BBC follows senior figures as the group reshapes the country.
The government faces opposition to its proposals from MPs who believe a ban will not work.
Ozon says its warehouses across southern Russia, including in Dagestan and Krasnodar, were hit in the overnight strikes.
Scott Bessent says the US will sever all economic ties with the country and that any nation partnering with Iran financially will also be isolated.
Preparations for President Hakainde Hichilema's second inauguration appear to be continuing.
An investigation is looking into whether the deaths were caused by pesticides sprayed on tomato crops.
The capacity for judgement now matters more than the capacity for execution. Handling this shift well ultimately depends on how designers frame their relationship to AI: as a collaborator to work alongside, or as an oracle to defer to.
Prediction: systems of record will need to become AI harnesses or face replacement by agents
Open on X ↗Mother in law is visiting from India.. Wants to do serendipitous date night with her grand daughter. Realized she didn’t sign up for roaming and we need a way to communicate. I get a data eSIM in under three minutes and she’s connected. What a wonderful world we live in 🤗 (real ones know this would historically be a trip to the store or calling the carrier for an extra line that I need to cancel in a month)
Open on X ↗Good Sunday. Reset has been propagated to accounts and we landed some fixes to usage for things mentioned yesterday as issues we found. You should feel a positive difference. More to come tomorrow and will keep communicating. https://t.co/6mgUetJnhg
Open on X ↗How to build great evals - part 7. The Goldilocks principle for eval construction. Your evals should measure at the level of the various jobs to be done, not just the final answer. E.g. consider a financial analysis agent. It's ultimate output is a stock recommendation. The most common mistake I see is teams create a golden set of right answers and check if the agent recommended the "right” stock. The problem here is that there are probably a bunch of meaningful jobs that happened before this recommendation. E.g. 1/ Understanding the client: their portfolio, risk tolerance, investment horizon, goals, constraints 2/ Gather evidence: latest data points on the different stock stocks, the sectors, macro environment, Fed policy, recent and upcoming news events 3/ Analyze the data: revenue growth, valuation guidance, growth projections and produce a narrower number of candidate stocks 4/ Make a recommendation: stock ticker name, bid/sell price, timeframe Each of these is a stage and produces an intermittent output. Each of them can (and maybe should have) their own eval so you can diagnose issues. If the final recommendation is wrong, a well designed eval set would tell you: Client understanding : 92%, Evidence extraction : 92%, Data analysis: 70% Recommendation: 75% Now you know where to go dig. And you might go, man the data analysis step is too complex and I need to break it down into a set of jobs to be done, and construct eval sets for them. Not too granular. Not too coarse. Just right. Make your eval set as granular as you need to diagnose and act. Drop your eval questions in the comments and I will answer in future posts. Share this with your teammates! See you tomorrow.
Open on X ↗Intelligence is getting cheaper. @OpenAI Sol's price reductions & discounts on Vercel AI Gateway have made Sol our fastest-growing frontier model. This shows ① that the demand for intelligence is highly elastic: as inference costs fall, usage grows rapidly. ② If you're not using a gateway, you're missing out on this incredible price volatility, which lowers your operating costs and increases your margins. It's no wonder the router space has heated up… gateways are inevitable.
Open on X ↗