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2026.09.14

25+ builders tracked
BUILDER INSIGHTS
15
01
Sam Altman Sam Altman

Sam Altman

There are two ways AI progress could go very badly and that we must avoid.

First, we could lose control of the future to AI. This is unacceptable; we are unapologetically on Team Humanity, and AI must always serve people. To ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.

Second, we could end up in a world with too much concentration of power. If an extraordinarily powerful AI is used by one person or company to impress their worldview onto everyone else, the results could be extremely dystopian.

Avoiding these two threats requires walking a narrow middle path; for example, one country could gain too much power. Another example is one lab ending up with too much power.

The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.

We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors).

Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process.

Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases.

We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these.

When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs.

Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.

Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.

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02
Guillermo Rauch Guillermo Rauch CEO, vercel

Guillermo Rauch

You don't get it, I build software to relax

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03
Boris Cherny Boris Cherny anthropicai

Boris Cherny

Fable solved the Cyphral Distich (a 370 year old cypher). Super cool way to use Claude

https://t.co/0fgTdITSfO

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04
Matt Turck Matt Turck FirstMarkCap

Matt Turck

Seed investor when a company he forgot about years ago gets acquired out of nowhere https://t.co/X6NWlHRNle

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05
Dan Shipper Dan Shipper CEO, every

Dan Shipper

started using Astra medium for simple tasks

call that pacing the frontier

we’re going to the moon https://t.co/f02uVIYNHS

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06
Aaron Levie Aaron Levie CEO, box

Aaron Levie

“Pacing” can be somewhat of a trigger word because it sounds like an arbitrary slow down of capability or a way to hobble competitors through undue regulation.

However, the specific improvement goals laid out in Dario’s are absolute necessities in AI development. We expect equivalent in areas like aerospace, life sciences, health care, and other industries, and AI development likely shouldn’t be that different.

AI is going to be the technology underpinning our financial trading systems, our medical devices, our biotech breakthroughs, defense systems, government workflows, and many more mission critical domains. So it completely stands to reason that we want these systems to be safe and “aligned”.

How we get there -without meaningfully slowing down innovation progress or reducing competition- is one of the most complex questions in the 21st century, but the need is clearly real.

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07
Garry Tan Garry Tan CEO, ycombinator

Garry Tan

The content about startups we do is merely the teaser for the specific advice we give 1:1 when you actually are a YC startup https://t.co/MZ2tMlxLzJ

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08
Zara Zhang Zara Zhang

Zara Zhang

Anyone else notices this problem with Astra?

Astra: I have done X
Me: This is wrong, you should do Y instead
Astra: You're right. I should do Y
Me: ...

Why doesn't it just go and do Y, like the other models??

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09
Amjad Masad Amjad Masad CEO, replit

Amjad Masad

Nominal determinism strikes again. https://t.co/rFD1V1y2D9

It was painful to see so many users being priced out of AI coding for a while. But now it’s free to build again! https://t.co/LBe5fPBBGC https://t.co/VwkZ2a5QAN

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10
Peter Steinberger Peter Steinberger OpenClaw

Peter Steinberger

And yes, I'll test this for a few weeks and if we see that this helps the majority of users I'll try to get this into codex!

This is all written in Rust.
Because you can't escape Rust. https://t.co/WnauslO08k

Next release (or dev channel) does worktrees ~80% faster via apfs/brtfs/xfs/ReFS folder clones.

Also saves lots of disk space.

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11
Peter Yang Peter Yang

Peter Yang

I'm really curious who's actually managing this account https://t.co/BWu6Imtxuy

While we're all debating whether AI will lead to a bad outcome for humanity, it's important to remember that most of the world hasn’t even started using it yet.

Pedro, Brex’s CEO, likes to refer to a specific chart (see the clip):

“Each dot is 3.2 million people. Every gray box is someone that never used AI in the world (84%). Green boxes are free chatbot users (16%). Orange boxes are people who pay $20 a month for AI (~0.3%).

And this tiny red box is people using agents effectively (~0.04%).”

I think the chart is from February 2026, so things have probably picked up since then, but we're still super early.

📌 Watch the full episode here: https://t.co/0E7XHvBEBR

Record & Replay seems broken and won't trigger @nickbaumann_ @OpenAIDevs https://t.co/RYm8F1y3vT

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12
Aditya Agarwal Aditya Agarwal CTO, SPC

Aditya Agarwal

Imagine a world where we didn’t have to rely on any one organization to be good and virtuous. https://t.co/Vkz9lpNeE2

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13
Nan Yu Nan Yu head of product, openai

Nan Yu

37 signals would have called the the Nuse Feed https://t.co/RigssbRcMo

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14
Madhu Guru Madhu Guru CTO

Madhu Guru

Stud traders like Kaushik love Muse! https://t.co/UPhEaGi5g6

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15
Nikunj Kothari Nikunj Kothari Partner, fpvventures

Nikunj Kothari

All the questions to ask when you’re joining a startup https://t.co/m3c5GRQ7kI

When a seed investor realizes their marked down investment is suddenly going to return half the fund.. https://t.co/5V4BhqW7Dx

I get at least 1x text a day from a founder facing this exact conundrum..

Applicants your entry valuation being higher and your total comp being higher is often a bug and not a feature.

Just because a company has raised at a higher valuation doesn’t mean they are realistically more secure and the better place to go.

You have to really look at the numbers objectively - what’s the market, what’s the traction and how well positioned are they. And if they are worth 100x ARR, well they have to grow into it.

Then, do your own analysis on what do you think this company exits at. Not to mention your 409a prices and tax implications.

It’s so freaking important right now when everything is upside down and numbers are not rooted in reality.

PS: I have first hand personal experience with this. I worked at a company that raised $60M from probably one of the best investors on this planet. And the company folded 3 years in, all equity wiped out.

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