tao_oat

Sure, but I fail to see where the theft comes in.

This is all consistent with the beliefs of many AI (and EA) types who are not associated with the company.

> effectively stole

Could you say more about this? I'm not very familiar with the WhatsApp acquisition, or necessarily happy about it, but at first glance I don't see what part would come anywhere close to theft.

Does anyone actually need IE11 support in 2026? It was released 13 years ago.

Cool to see the BBC writing about this. If you're interested in this I suggest getting involved with PauseAI: pauseai.uk

I think the problem is primarily that a superintelligence would be fundamentally inscrutable to us, i.e. we don't know how it would think or what its goals would be. It might decide that humans are a minor inconvenience to achieving its goals and thus worth removing. Or that burning all carbon lifeforms could power its GPUs for a week.

Even if it wouldn't want to do this at first, the fact that it'd have the capability to seems bad.

I believe this is how many CSAM classifiers work. There isn't a simple legal avenue to host CSAM for classifier training, for good reason.

They're fine for a CDN but overall their offering surprisingly immature IME. The devx for their hosted scripts/database just isn't there, and e.g. they only allow one global API key with full permissions, etc.

This is a surprising opinion to me! Subjectively, I very strongly feel that models improved significantly over the last two years, particularly around the time of Opus 4.6 and now Sol 5.6 and such. It's made a huge difference to how much autonomy I can give them.

If you trust benchmarks (which is debateable) then the rate of improvement is speeding up -- definitely not diminishing returns.

I think it's one of our better attempts to understand a very large complex system! I think it's inherently very hard to do. I do think you can critique a lot of things about the field and ideology, and so on, but I don't think that's an inherent problem of economics.

> non-obvious

I'd maybe question this a bit. I suspect that many things we consider obvious are only so because of the field of economics -- but that's admittedly only an initial hunch.

Do you think there's any value in trying to understand how human societies work at scale?

This is my experience too. Many people in my offline, non-techy life seem to get almost upset when I argue that models are good at many things (and getting better fast).

And I kind of get it! If your primary exposure to AI is Google search summaries (from their cheapest models) and shitty AI graphic design, it makes sense to think it's vastly overhyped.

dhh is very strongly associated with identity politics, though? (as in, "western"/white identity)

I've been following Turbopuffer for a while; IIRC the founder talked about scaling MySQL at Shopify. So might just be operational familiarity.