Xiaosong Zhang

Lead Programmer/Analyst at University of Michigan

[Xiaosong Zhang @xiaosonzz]

@bored_yy @LuBtc888 讲个笑话: 湾区的中餐

[Xiaosong Zhang @xiaosonzz]

@Bushdiid420 @innoc_bystander @SinaiLawFirm Resale value tells the whole story

[Lenny Rachitsky @lennysan]

How Anthropic’s product team moves faster than anyone else

I sat down with @_catwu, Head of Product for Claude Code at @AnthropicAI, to get a peek into their unprecedented shipping pace, how AI is changing the PM role, and how to be the right amount of AGI-pilled.

We discuss:
🔸 How Anthropic’s shipping cadence went from months to weeks to days
🔸 The emerging skills PMs need to develop right now
🔸 Why you should build products that don't work yet—then wait for the model to catch up
🔸 Why a 95% automation isn't really an automation
🔸 Cat’s most underrated AI skill (introspection)
🔸 What Cat actually looks for when hiring PMs now (hint: it's not traditional PM skills)

Listen now 👇
https://t.co/uymmT55Nq6

[Xiaosong Zhang @xiaosonzz]

@vikhyatk go get your agents up and dig into your emails... at the same time dispatch another swarm to research online to find our what is the new name of the bank your mortgage had been sold to.

[Andrej Karpathy @karpathy]

Judging by my tl there is a growing gap in understanding of AI capability.

The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.

But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.

So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.

TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

[Obsidian @obsdmd]

The Obsidian team is growing from three engineers to four engineers.

Competitive SF salary. Fully remote, live anywhere. Apply below.

[Claude @claudeai]

1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.

[Xiaosong Zhang @xiaosonzz]

@zarvos @hookskat But they still gonna dry out even you are not use them, correct?

[Xiaosong Zhang @xiaosonzz]

@NataliyaRo4040 @OipsAnthony 他在troll你...

[Xiaosong Zhang @xiaosonzz]

@Jiaxi_Cui 抱歉, 不叫询问权限, 是这个keychain prompt policy

[Xiaosong Zhang @xiaosonzz]

@adeleshiv @BrandyZadrozny I don't see any AI replacing her in the near future.

[Xiaosong Zhang @xiaosonzz]

@kingluffywang @ACShow_AngeloW 但凡点开看了第一段❤️‍🩹

[Benjamin De Kraker @BenjaminDEKR]

What if Claude 5 is advising Dario and has already Anticipated All Possible Scenarios

[Xiaosong Zhang @xiaosonzz]

@terrywang 这个版本比mlx- community的好很多么?

[Xiaosong Zhang @xiaosonzz]

@kingluffywang Max20 物超所值，不知道这羊毛还能撸多久

[Xiaosong Zhang @xiaosonzz]

@obsdmd Would love to see you release and update obsidian cli skills along with your impressive new cli tools

[Sam Altman @sama]

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings.

OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

[Xiaosong Zhang @xiaosonzz]

@heavensbvnny Now you can, with the help from AI

[Xiaosong Zhang @xiaosonzz]

The future of obsidian is not for humans to operate/organize, as an owner, you just need to view occasionally

[Noah Brier @heyitsnoah]

Isn’t the whole point of Obsidian it’s just a UI on a whole bunch of folders of markdown? Why do you need a CLI to do what every AI CLI can already do with existing bash commands (read, write, append, etc.)? I love Obsidian, but not sure I understand what’s happening here.