Steve

28. founding cto

buying back my freedom.

[Steve @ManSteve_]

@ChadAppDev Put me in

[Steve @ManSteve_]

@wojakcodes the part nobody says out loud: "need less" is the harder flex, because it asks you to stop performing.

anyone can scale up. very few can voluntarily scale down and not feel like they're "losing".

[Steve @ManSteve_]

@yoowhatsgooood @RLanceMartin You can follow Hamel Hussain, I did a workshop back in the days, he is quite deep in evals framework ( binary pass/fail, hand-label ground truth, measure your judge's precision/recall)

[Steve @ManSteve_]

been trying this exact idea for app/product demos flying through UI components instead of city landmarks. the camera move is easy, but the app screens never composite cleanly and the components are a pain to choreograph.

any tips on the pipeline for the non-landmark version? are you keying the screens in after?

[Steve @ManSteve_]

great tech analysis but stops one layer short.

the real question isn't whether DeepSeek's KV cache math works, it's whether beijing lets a private lab become a $1T value-capture layer in chinese AI.

history says no. ant group's IPO killed in 2020 weeks before listing. didi forced to delist from the US. alibaba broken into pieces, jack ma disappeared. tencent gaming licenses frozen. xi's playbook is consistent. no private actor becomes systemically important.

BUT DeepSeek might be the exception. they're china's only credible answer to the west on frontier AI.
beijing may give them full power and full warrants, just on a state-aligned leash. it won't look like OpenAI/AMD. it'll look like something we haven't seen
before.

[GDP @bookwormengr]

https://t.co/KHnPhxJBiz

[Steve @ManSteve_]

@levelsio the arbitrage everyone dreams of is priced at the true cost of entry which is usually connections, not cash.

sad reality

[Steve @ManSteve_]

@thedankoe delusion and conviction look identical from the outside.

only time tells you which one you had.

and by then you're either rare or a cautionary tale. either way beats the grey middle...

[Steve @ManSteve_]

@viktoroddy motion design import is the unlock.

you can finally ship a site that feels like something instead of looking like another shadcn clone.

taste is about to become the moat again.

[Steve @ManSteve_]

@Voxyz_ai the #1 trending repo being a markdown file is the most 2026 thing ever.

the new programming language is english with good taste.

[Steve @ManSteve_]

@nikita_builds five years ago every ex-founder was building their next thing.

now the highest-status move is being IC at a frontier lab.

[Steve @ManSteve_]

the marathon isn't the achievement. the event is.

china understands that normalizing robots into public spectacle does more for adoption than any whitepaper.

europe is writing AI regulation. china is throwing AI parade

[Steve @ManSteve_]

@kimmonismus time to rewatch https://t.co/CxNFRumbRV

[Steve @ManSteve_]

@sergeantsref this one hits hard

[Rexan Wong @rexan_wong]

25 CENTS per second of video gen btw

but on paper do you know what this means?

one of the best ai video models is now accessible to the hands of all the developers and marketers in the world

via one simple api

ai content is going to flood the internet

we've already seen it with organic ai content, ai ads, entertainment

you can go from 0 to 100K followers in a month producing realistic ai content - given you have the right research & content strategy

you could hit ROAS figures previously unknown to mankind because you had the ability to mass test thousands of creative angles when your production pipeline is so automatable

this could (and has) change ppls lives

you just need to invest $1000 for AI credits initially as costs accumulate while you scale 🫠

keep testing more content formats and angles, no matter if you're running organic or paid, the thesis is still the same

this tool unlocks the thesis for you AT SCALE

[Theo - t3.gg @theo]

Claude Mythos is the start of the end. I think this is my psychosis moment.

[Steve @ManSteve_]

"the incentives of capitalism are working" is the line that'll age the best or the worst.

right now safety is good business because the public is watching and governments are nervous.

the real test comes when a competitor ships mythos-level capabilities without the restraint and captures the market doing it.

capitalism's incentives work until they don't.

[Dean W. Ball @deanwball]

Some brief thoughts on Mythos

We’ve known this was coming for a long time. At least, we *should* have. Extremely effective software vulnerability discovery was clearly coming to anybody paying attention.

It has also been clear that all AI policy so far has been made and executed with training wheels. It was always clear that, sometime soon, the training wheels would come off.

The training wheels aren’t fully off just yet—this model is being kept under lock and key, and Anthropic does not seem inclined to release Mythos preview to the public anytime soon, if ever. The training wheels will be off when these capabilities are fully diffused in ways centralized actors cannot control. It is inevitable that this will happen. The point is not to argue about whether we should “ban open source” or similarly unrealistic notions. The point is to harden the world for this new reality.

I applaud Anthropic—and I especially applaud @logangraham—for doing so. But their efforts alone are not close to enough. Project Glasswing—a partnership with Anthropic and other companies—seems nice, but unsurprisingly it lacks uniform frontier lab participation.

It would probably be ideal, for our national cyberdefense, if the federal government were not trying to destroy Anthropic and eliminate their models from government systems. If anything, the government should be trying to work more closely with Anthropic. As a side note, I hope Anthropic is working with state and local government entities on cyber vulnerability discovery, since many of our adversaries know that state and local is America’s soft underbelly in so many ways.

In any event, the Mythos news should lay bare how stupid and counter-productive the Department of War’s feud with Anthropic really is. As someone who suspected all this was coming (not from inside knowledge but from it being ~obvious), that probably explains why I have had such a strong reaction to that feud. It’s this senseless distraction just at the time that the training wheels are coming off. I hope the two parties can resolve their differences now, for the sake of the country, but I am not hopeful.

I do want to call out, however, the numerous political and career civil servants in the Trump Admin who do get these issues, know how stupid the Ant-DoW stuff is, and want to work with the frontier labs like adults. I wish you all utmost success.

I find myself inclined to end on some positive notes. Mythos appears to be—according to Anthropic at least—“the most aligned” model Anthropic has ever trained. We are approaching superhuman capabilities in some domains, and yet alignment is getting better rather than worse. That’s not nothing. I know some of you think the model is faking its alignment, or aware when its alignment is being tested. I don’t have a good answer.

Finally, there is this: Mythos was made by an American company, and like most successful American companies, it has a vested interest in maintaining order and peace, and it is investing substantial resources in mitigating the risks of its technological progress, as I expect most of the American labs would. This is cause for optimism: The incentives of capitalism are working.

The training wheels are coming off, but at least we are the ones removing them, as opposed to our enemies. Perhaps we can be the first to learn to bike for real. The first step would be to get beyond all the low-fidelity, under-specified, pimply little fights of AI policy’s prepubescent era. That goes for me too.

“What hath God wrought,” wrote the first telegram. What, indeed. In this case, the answer is still up to us.

[Steve @ManSteve_]

@notjerrywang so cool Jerry! would love to see a version where the text density reflects actual population density, the contrast between western china and the coast would be insane.

[Steve @ManSteve_]

@Yuchenj_UW the part people keep glossing over: it found a 27-year-old bug in openbsd.

not some neglected codebase the OS whose entire identity is security.

that's not just "AI is good at coding now."

that's AI seeing things humans architecturally cannot. this is scary though

[Steve @ManSteve_]

what is scary isn't the benchmarks. it's "we hold that with less confidence than for any prior model."

anthropic is basically saying: we think we're in control, but we're less sure every generation. that's the honest version of what every lab should be saying.