Yu-Wei Liang

With AI agents, how many companies can one person run today?

[Yu-Wei Liang @liangyuwei]

@felixrieseberg @bot I've read this, and i need you to collect all concrete tips from this tutorial. see what they inspire you, what we can learn for our projects. btw, see if you can improve our global AGENTS setup based on these advice

[Steven Cheng @stevencheng]

Behold, the ESP32 ball.

[Yu-Wei Liang @liangyuwei]

Astra's price doesn't quite match what it can do. Or maybe Opus 5.5 is just too good.

[Yu-Wei Liang @liangyuwei]

@dontbesilent 是的，每次看到拿“普通人怎么怎么样”来反驳的观点，都觉得好悲观，为什么不盼着点自己好呢？万一正是因为这样的想法，才导致一直处于“普通人”的水平呢？

[Evan Bacon @Baconbrix]

Asked Grok Bot to build itself an Apple Vision Pro app. I now have interactive bots that I can talk to and place around my apartment.

[Yu-Wei Liang @liangyuwei]

@bot on X to trigger your own grok bot is an underestimated great feature.

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Yu-Wei Liang @liangyuwei]

Trust, it's all about trust

[Tibo @thsottiaux]

The results of this poll has gotten me confused. I definitely thought it would sway much more favorably in the 2X direction across Pro 100/200/500 at the cost of bringing back 5h limits in order to smoothen the demand curve.

[Yu-Wei Liang @liangyuwei]

@AndrewCurran_ Totally get that when you're dying, you'd try anything.
But I feel it somehow hints that it'd take that level of desperation to stop caring how it works.

[Yu-Wei Liang @liangyuwei]

Bringing back 5h limits is a step backwards.

And while you're at it, drop them for Plus users too.

[Tibo @thsottiaux]

Pro users, would you rather have

[Yu-Wei Liang @liangyuwei]

When I was a kid, I thought only rich people had butlers to do their shopping and manage their schedules.
Now anyone can have a personal agent for that.
We've come a long way.

[Yu-Wei Liang @liangyuwei]

guys, guys, 2X week usage doesn't necessarily mean MORE usage.

Remember how openai decided to shrink Pro plan from 10x/20x to 5x/10x?

[Tibo @thsottiaux]

Pro users, would you rather have

[Yu-Wei Liang @liangyuwei]

@thsottiaux no 5h limits, back to 10x for Pro 100 users & 20x for Pro 200 users, also 50x for Pro 500 users

[FeiZ @Fei2411]

正式介绍开源的 DeepSeek Bot ！（非官方）

DeepSeek Bot ( 简称ds bot ) 是一款基于 DeepSeek Harness ( 简称 dsh ) 的开源插件，让你能够拥有一组持久化的 Bot，使用你自己的 API Key。你可以和你的 Bot 聊天、工作，或者做任何你想做的！

你可以为 ds bot 接入任何你想接入的模型，甚至在未来，你可以直接接入你的本地 agent，这意味着你可以使用自己已有的 ai 订阅。

ds bot 继承了 dsh 的“一切皆插件”理念，未来将会有更多可拓展性，迫不及待想看到会发生什么！

仓库地址：https://t.co/qMw3z9QYT4
安装：在dsh desktop插件页输入: ds-bot

更多详细信息见评论区↓

[Yu-Wei Liang @liangyuwei]

@poteto @GeoffreyHuntley i suspect you have a bot in search of perfect meme for you

[Yu-Wei Liang @liangyuwei]

@Maybetonight77 “买苹果手机是没办法，是为了配我这个苹果电脑”

[X @X]

post before you talk yourself out of it

[rohit @rohit3a]

Did some digging and apparently setting /autocompact to 400k would have saved me 29% of my weekly usage without lobotomizing Claude.

[Yu-Wei Liang @liangyuwei]

@gambrill @petergyang @bot hey @bot this is good tip, do this for me

[Yu-Wei Liang @liangyuwei]

@OpenAIDevs You guys finally catch up with this feature. Been using suggestion in claude, grok build for a long time