Introducing Dawn 🌅
@varadh, @trq212 and I have been talking to a lot of ex-founders lately. There’s a community for every stage of starting a company. There isn’t one for what comes after.
So, we decided to start one.
Dawn Vol I is a small dinner. May 19th in SF. Off the record. Ex-founders only.
Register at meetatdawn dot com
Everyone’s building all these insane things with GPT-5.5, but I’m just out here trying to impress my wife with an app that teaches my toddler how to read a clock.
One-shot by GPT-5.5 in < 30 seconds (obviously)
@hhua_@swyx This is going to be a big crime scene lol.
Frens, if there are builders/researchers we should have in Shanghai, send names our way.
DMs open.
Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see.
@eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)
Anthropic is "killing OpenClaw" so aggressively that the creator of Claude Code personally submitted a PR to fix their prompt cache. Is the ban an ideological one against OSS or an economic circuit breaker ?
@bcherny : https://t.co/MLHfg96ICw
Anthropic shutting down OpenClaw may turn out to be a strategic blunder, or strategic genius. The OpenClaw community will be the determiner of whether it is A or B. It's an interesting moment in history.
Personally I never bet against open source.
“To build AI systems we can trust, we may need to think carefully about the psychology of the characters they enact”
If you interact with AI, read this paper and give yourself time to reflect on it. You don’t need to come to any conclusions, but you will benefit from being aware of it
This is why we built https://t.co/3dcPtnvvbJ. Understanding the psychology of a model gives us a lens to understand how it may behave in ways that outcome-driven benchmarks don’t show
Blaming an individual doesn't fix anything. A better deploy pipeline does.
This is the best mindset in a postmortem. Assume everyone did their work with the best intentions and best effort. Focus on software, infra, process, and culture — that's what drives scalable change.
Mistakes happen. As a team, the important thing is to recognize it’s never an individuals’s fault — it’s the process, the culture, or the infra.
In this case, there was a manual deploy step that should have been better automated. Our team has made a few improvements to the automation for next time, a couple more on the way.
Here's a more honest structure. Two SPVs. One real, one fake. Fake one sits 2x above the real one. Company goes to zero, you still return some capital. We call it Collared Ventures. DM for allocation.
50% of all relationship advice on Reddit is “leave.” 15 years of data, 52 million comments, and the trend line only goes one direction.
A researcher filtered r/relationship_advice down to 1,166,592 quality comments and tracked what people actually recommend. In 2010, “End Relationship” sat around 30%. By 2025, it’s approaching 50%.
“Communicate” dropped from 22% to 14%. “Compromise” collapsed from 7% to 3%. “Give Space” fell from 25% to 13%. Every category that requires patience lost ground every single year.
The one category growing faster than “leave” is “Seek Therapy,” which went from 1% to 6%. The subreddit is slowly learning to say “this is above my pay grade.”
Train a model on this dataset and it would absolutely tell people to break up. The training data is 50% “leave” and climbing. The model wouldn’t be broken. It would be accurately reflecting what 52 million commenters actually believe about your relationship.
A 50% prior that you should leave, a 14% prior that you should talk about it, and a 6% prior that you need a professional. That’s not LLM psychosis. That’s the median human opinion on your relationship, backed by the largest advice dataset ever assembled.