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Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
AI is grown more than designed - it is, to first degree, the product of repeating a straightforward optimization step many times on a hard-to-imagine amount of compute.
Everything we see, whether it's this room or any room or anywhere you go, everything you see was either grown or mined, manufactured and moved. Everything. And so we look at what we do as industrial AI.
And um if you build a specialized chip for low precision dense linear algebra and can't do anything else that turns out to be really useful for machine learning inference uh even though it can't run Chrome or Word or whatever.
Take Eroom’s Law: the number of new drugs approved per dollar of R&D has fallen for decades, even as our scientific tools have grown vastly more powerful, the exact opposite of what the existence of more raw capability would predict.
I think context engineering has been so long lived because it's it's grounded in the fundamentals of how transformer attention works and until we have post transformer models or linear attention or whatever it is which who knows when that's going to happen context engineering will be interesting and important to anyone building on AI
there's some interesting work on you know happiness being more curve linear like midlife is actually some of the lowest levels of happiness and life satisfaction
I I definitely think I'm so aware of the fine line between success and failure, especially on your first company. And and and it's so it pains me how much founders and es especially I see it in men, not all men. And I have four sisters and a bunch of daughters. But I would say I see it in a lot in men and and friends, college friends, people I've grown up with that if they had an initial failure, if they had failures, they get attached to it and they start feeling defined by it
The demand for inference is growing. So, like I don't think it's linearly growing. I think it might even be exponentially growing. But we haven't made our production of GPUs grow exponentially. That's like kind of a linear process. So as those lines intersect, there's going to be uh tightening.
Marketing grows only as fast as you can improve marketing. We all know that's quite hard actually. It's linear. It's hard to find new channels that aren't trivial. Like, it's hard. Of course, we're going to do it, but like it it's hard. Whereas, cancellations grow automatically as you grow, right? So, cancellations always overtake marketing for this reason.
The only highly populated industrial country unable to trivially meet its electricity and synthetic fuel needs with solar alone is the United Kingdom, due primarily to a high population density and high latitude. The Nordic and Baltic countries are tiny by comparison. Among other problems, the UK needs to decide if it wants the future where energy is cheap and it is rich, or the future where energy is expensive and it is poor. If the former, it is time to get serious about large scale deployment of wind power, using home-grown vertically integrated technology at prices as low as $10/MWh.
If you look at the most recent evidence on this issue, they found that post-1990, aging economies became richer. Not the other way around, which was true for the pre-1990 sample. And the reason is that these aging societies much more rapidly adopted new technologies, automation that actually helped the entire economy.
I’ve grown to like Space Bar - it provides desktop workspaces akin to those in Sway/Hyprland which enabled me to use the muscle memory I’d developed over years.
Even as GDP has grown tenfold, US aid budgets have remained basically flat in real terms—the result (one might guess) of a delicate balancing act between bipartisan consensus among elites and a wariness of attracting too much negative attention.
But really the software engineering agents I think can be done faster sooner than any other agent because it is a verifiable domain. You can always unit test or compile, and there's many different regions of it can inspect the whole code base at once, which no engineer really can.
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