45,347 karma · joined July 8, 2009
Previously: Physical Intelligence (robots), Meta, Google, Microsoft
My blog: https://james.darpinian.com/blog/
https://x.com/Darpinian
Creator of See A Satellite Tonight: https://james.darpinian.com/satellites/
Based in Palo Alto
Something with the ergonomics of Bigscreen Beyond 2, passthrough and resolution improved beyond Vision Pro, and the hackability of Steam Frame, I think could be pretty attractive as a laptop replacement for some people. Of course we're nowhere near that product yet. But a Steam Frame with a higher resolution screen and a better head mount (and the Arcturus Vision passthrough camera add-on) would be pretty close.
If they made a more expensive version with a better display it would potentially be interesting as a portable workstation/laptop alternative. But I don't think the SoC they're using supports displays much larger than this, so they'd have to upgrade that too. When you have such a wide FoV the number of pixels you need to cover it all at high resolution becomes very large.
It's simultaneously an amazing achievement, worth the money I paid, a redemption story for Hello Games, and yet disappointing in a way that e.g. BOTW is not.
One of these years I plan to dive back in again, hoping to find that the sum of all the updates has provided some new story progression I will find meaningful and give me a reason to exercise all the new game mechanics. I'm hopeful!
Because copying houses is inherently expensive, while copying creative works is inherently free. To make creative works act like houses you have to add artificial cost to copying, which is a tax the public has to pay for the entire duration of copyright.
If the public has to pay a tax they should get something out of it, and that something is the incentive for authors to create new works. But does copyright have to be for life + 70 in order to incentivize new works? Clearly not! It could be much shorter while still providing plenty of incentive.
My point is that it doesn't need to do that. Copyright could still encourage creation of new works with a much shorter duration, without the downside of locking our culture up in monopolies for life + 70.
Copyright is a monopoly that the government creates on purpose. We need to treat that monopoly power with more respect. We shouldn't be handing out generational monopolies willy-nilly. Copyright is allowed in the Constitution for "limited times" and Congress has ignored that.
For a while now I've had a startup idea for an agent that would monitor your inbox for content-free notification emails that just say "you have a new message, click here to read it" or "package delivered" with no details about the package contents. Then it would login to the website, do the 2FA dance, click through the UI, extract the actual important information, and put it back in my email inbox where it should have been in the first place.
I haven't worked on this idea because I think general purpose AI agents are likely to be able to do it very soon. And it seems like Muse is almost there already. It almost worked with MyChart, but hit a snag navigating the website after logging in. I expect this will be fully working in a matter of months.
I honestly can't think of any software ideas that won't be subsumed by general purpose agents or world models or some other form of AI in the very near future. Time to pivot to hardware ideas!
In 2015 Facebook (not yet renamed to Meta) launched a personal assistant named simply "M" that lived in Messenger and functioned remarkably like ChatGPT does today. At the time it was basically entirely humans on the backend, with the idea that they could replace humans incrementally as they collected data. Really ahead of its time. They shut it down in 2018, which seems shortsighted in hindsight. That data would have been invaluable just a few years later.
https://www.technologyreview.com/2017/04/14/152563/facebooks...
Aug 28: OpenAI starts training a new model.
Sep 1: OpenAI sees a rumor on Twitter that two Millenium Prize problems were solved and starts their own effort to attack all the prize problems using the new (4 day old!) model.
Sep 3: The new model makes some progress toward Navier-Stokes. Based on this progress, OpenAI focuses on Navier-Stokes over the other Millenium Prize problems, using several approaches in parallel.
Sep 5: Navier-Stokes is solved. Assuming Astra API prices, $15m in output tokens were used by the whole effort.
In this account of the story, no specific information about Tristan and Levent's work is used to inform OpenAI's approach. The focus on Navier-Stokes and the choice of approaches to pursue came from OpenAI's own progress, not specific knowledge of Tristan's concurrent work.
There is a caveat that they "can't rule out" the possibility that Tristan's Codex data could have been part of the training set of the new model, though it is described as "unlikely" and the proofs are substantially different.
This timeline is insane. Navier-Stokes was solved start-to-finish in 5 days? A model in training for at most eight days dramatically outperforms Astra and Fable, and not just in mathematics?
I don't think this part is accurate. OpenAI was researching Navier Stokes before. It's possible that they started on a new approach after hearing of Tristan's success, however that is not proven and I expect we will hear OpenAI's side of the story today.
The question is whether OpenAI's pursuit of this direction happened spontaneously, or as a result of them learning about Tristan's work somehow. To be clear, while the tone of this post seems quite accusatory, Tristan does not claim to know for sure whether OpenAI unfairly benefited from his work. Sholto Douglas from Anthropic is also on record saying the suggestion that OpenAI used Tristan's codex transcripts somehow is extremely unlikely to be true[1], which I agree with, though it doesn't rule out them learning of Tristan's work some other way. I am sure OpenAI will have a statement out tomorrow clarifying their position.
The fact that California allows this to happen (banning non-competes and rejecting "inevitable disclosure") is exactly why Silicon Valley started here and remains here. It's exactly why ex-OpenAI people could start Anthropic. It's why neither OpenAI nor Anthropic have a monopoly on AI today. It's great both for employees and for the general public.
They show it working with videos that have motion, but it seems like time is always frozen while the camera is moving, and they always return to a ground truth camera view before advancing time again. Maybe the temporal consistency isn't very good? This surprises me given how well it understands space. I guess modeling physics and time is the next step in the development of this kind of model.
I like the motion blur on the stars, but it increases the brightness of each star. It would look more consistent if the brightness of a star was constant regardless of motion. I guess the brightness increase makes things look cooler when you're warping through space but it's distracting when orbiting the camera around objects.
I think clicking to select things could be improved. Clicking on names is reliable but clicking on rendered objects seems unreliable. Sometimes clicking on a planet or star does nothing. Also my mousewheel seems quite slow to zoom, I know this is hard to tune across platforms on the web, I'm on Ubuntu 26 currently.
I can think of about a billion features to add. Real time clouds for Earth, a bunch more satellites and spacecraft, eclipses (Google Maps web 3D view renders these, crazily enough, if you set your system clock to the appropriate time), more terrain and high res imagery, multispectral imagery/rendering, relativistic effects, realistic close-up rendering of planetary rings, solar flares and fancier star rendering, binary stars orbiting each other, procedural generation of plausible stars and solar systems with exoplanets in other galaxies or unobserved parts of our own galaxy. Really depends on where you want to take it!
Passkeys are the right thing but they need more work.