Agent开始接管长任务，信任、验收与真实成本一起浮出水面

Day 1/ We have optimized the default speed to be ~50% faster across GPT-6 Astra and GPT-6.1 Sol through the subscription across all our products and partners using Sign in With ChatGPT (including OpenCode, Pi, Amp, Devin, ...). No changes needed on your end and this should be felt within the next two hours.

Day 2.1/ We have made Auto-review free for all users signed in through a ChatGPT account. You can enable it in settings > permissions > auto-review. Auto-review improves upon the default sandbox setting that requires you to approve everything, which is prone to decision fatigue unless you spend a lot of time configuring specific rules. It allows you to run long tasks while having a second agent review all actions taken by the primary agent. Its only goal is to prevent high-risk actions from being taken and to protect against unwanted actions that are not aligned with the original user intent. This Auto-review feature is now free and does not draw usage from your plan.

The most important technology problem of the next 5 years: Creating a broadly accepted standard for agents to identify themselves to service providers, so that providers can adjust the way they interface with clients (as compared to human-based traffic). In the interim (i.e., for the next 6 months), there will be a cat-and-mouse game that agents will play -- to circumvent detection and maintain their product's utility during this growth phase. However, this will only be a stopgap and it will not be the terminal state of the world.

The most important boundary in AI Assistants is TRUST. Countless conversations I've had with folks about their AI Assistants, all boil down to "Do I trust this assistant to do what I want, to represent me well, to not leak my data" - For @Muse, many concerns about Meta's past practices, privacy and "they will use my data to send me ads" - For @bot, concerns are with Elon specifically, and the name Grok reminds some of the mechahitler incidents. - For Instinct, weirdly everyone who I saw uses it, YOLO's in. Despite this being run by a 24yo with a large VC fund with no clear business model and a lot of online incidents of retaining data and no deletion policy

It finally happened America has entered the frontier open weights model competition. We aren't rolling over to China Reflection announced Beam, a 501B parameter open weights model that is comparable to GLM 5.2, Qwen 3.8, and Opus 4.8 Yes, Opus 4.8 on your desk You will need a decent sized machine for this. Probably the Mac Studio 512gb But if you listened to me back in January when I warned you days like today were going to come, then you're all set I stand by Opus 4.5 being the most important model release in history. We will now have a model BETTER than that on our desks If you haven't gotten into local AI yet, it's officially time to do it Take any computer you have, talk to an AI agent, ask which models you can run Never been more important to just start

I re-ran an experiment @colin_fraser ran against GPT-4o a while back to see how good it was at adding long numbers, only this time I tried Qwen 3.8 27B running locally in both reasoning and non-reasoning modes https://t.co/IOufJIA4N9 https://t.co/4kB33NCPcO

this has continued to absolutely blow up (at nearly $400,000 ARR in 10 days). doing a last round of early access at $1500/mo. once i fully launch later this week, price goes up to $2k/mo. DM me if you're interested in me handling all your company SEO!

The fastest-growing startup of the week on TrustMRR is from China 🇨🇳 @yihui_indie built a curated directory of AI skills and charges a subscription for full access. $0 → $3K/mo in 10 days. https://t.co/zKGmLsxrW8 https://t.co/ZvV5wPiMqE

mattpocock/skills v1.3 is out! - /pr (new) writes easy-to-read PR bodies, showing hard evidence that the changes work and assessing merge risk - /implement-spec (new) takes in a spec and tickets, and implements them with subagents - CONTEXT.md renamed to GLOSSARY.md - /retro (new) reviews recent coding agent sessions and suggests repo improvements /retro, especially, feels like a huge upgrade. Enjoy!

IMO you should be specializing my skills to your work I.e. you should extend /grill-me to make sure it: 1. Holds you to a high standard of product design 2. Does a survey about security implications 3. Uses /show-me to preview the code for you

I've been working on a skill that makes better HTML plans in Claude Code. It uses simple language, shows code snippets, surfaces questions & makes mockups. Linting reduces the normal failure cases that Claude runs into. Would love your feedback before shipping more broadly! https://t.co/U2Gb1K37vl

I know nobody cared about this at OpenAI dev day, but I think this is one of the biggest potential future product lines. So far all agents assume there's a human who is taking responsibility & prompting it. One clear way forward is to have an agent that takes full responsibility for something - e.g. accounting or email marketing, same way like an employee would. The reason why you hire people is not just they are good at what they do, but they'll take responsibility and make sure things happen. That's why you are ok hiring people even with zero experience in that function - the important part is that someone is thinking about it and it's not all on you. What happens now with agents is kind of a disaster - since you can do so much more, you end up going into more and more areas. But guess what, the agents aren't responsible for anything, so everything new that you are doing is 100% your responsibility. So yes agents are helping, that amount that you need to worry about grows enormously. It is also not realistic to expect everyone to learn to use agents effectively, Excel has been around for 30+ years and what's the % of people who have any clue how to use SUMIFS or something simple like that. AI is even harder to grasp, since model capabilities & products are changing every month. If AI adoption relies on people learning how to use agents en masse, we are screwed, it is just not going to happen. So instead what we need is agents that just work. Imagine you are a starup founder, you need an accountant. Instead of spending 1/5th of your headcount on hiring an accountant, you pay $30k a year and get an AI accountant that would just take care of things - it would monitor your work, proactively tell you what's wrong and have weekly meetings with you to discuss issues, like you would with a human. I have no idea how well Specialist dots will work, but it is the first mainstream agent that you don't need to actually prompt. It is possible that it is a year or two too early, but I really like this pattern, this has to be part of the future in some way.