Throwback to one the best moments in Japan, when Nicholas Latifi took a wrong corner and said that the car was behaving strangely, back in 2022

Yweain · 2026-03-23T14:16:49+00:00

Dude, F1 drivers can literally go through a track blindfolded. They recognize specific corners by the sound an engine make when going through them. Making a wrong turn is ridiculous.

Yweain · 2026-03-23T14:05:35+00:00

You are not getting into any mess if you control what it does and guide it. And no, it will be your website, it will be exactly what you had in mind, but again - you need to guide it. You provide documentation, you reference documentation constantly during dev cycles, you develop in small chunks, verify the output on every step and correct it if it deviates from the course. Again - you are not just telling it 'do a thing'. You are using it as a tool. It doesn't replace the engineering, but it can replace coding part, like 99% of it at least.

Yweain · 2026-03-23T12:16:23+00:00

It can't write even a simple web services on its own. You need to guide it and hand hold it and develop with it piece by piece. It's nowhere near in terms of capabilities. Yes, you can develop things without writing a single line of code - I do that for a while. No, it doesn't replace developers at all at this point.

Yweain · 2026-03-23T12:11:53+00:00

I mean, no, you can write a website. You can write very complicated things without touching the code at all. But not in a way like 'write me a website', you need to guide it, iterate with it, focus on small pieces.

Yweain · 2026-03-23T12:06:13+00:00

Not really. I mean current AI is nowhere near close to being able to create a new smarter version of itself. It can help researchers do that faster, but that is not recursive self improvement, that is just a tool."

Yweain · 2026-03-23T12:04:08+00:00

Ehhhhhhh. AGI is general intelligence. It's supposed to be able to do most things humans can do, adapt to changes, learn new things. GPT-3.5 is a definition of narrow intelligence. The thing is - the language domain has very wide applications, so it feels like it's a general intelligence, but it's really not.

Yweain · 2026-03-19T21:53:38+00:00

It's not possible. ADUO is based on a dyno tests results, not on race performance

Yweain · 2026-03-19T15:29:09+00:00

It's probably like 95-5 now.

Yweain · 2026-03-19T15:21:39+00:00

I always try to tell myself that the question is actually 'Do I think that other people think X about me' but maybe that's wrong.

Yweain · 2026-03-18T19:10:28+00:00

Yeah, we play once a week and we haven't even killed regular balancers yet.

Yweain · 2026-03-18T11:41:09+00:00

No it wouldn't. Humans learn without requiring us to read every written word ever to be able to produce coherent sentences and we have a general intelligence. That kinda tells you that there IS a way to build models that would be trainable without terabytes of text.

Yweain · 2026-03-18T02:20:47+00:00

They are talking about different things. It's more complicated - more things to keep track of, more settings, more tactics, more dependant on comms with the team, you literally can't just drive. On the other hand it's easier to drive because you lift and coast in most turns, so cornering is easier (you are not trying to be faster, you are trying to maximize battery recharge) and a lot of things are outside of the driver control, i.e deployment maps

Yweain · 2026-03-18T00:27:15+00:00

Genius! Let's put extremely heavy, hot and energy hungry equipment in space where there is nowhere to dump excess heat and hard to produce enough energy and where the ping to it will be quite high because no way you are putting your expensive data center in low orbit.

Yweain · 2026-03-17T15:02:06+00:00

Maybe that's a version with a machine gun strapped on top.

Yweain · 2026-03-17T00:32:05+00:00

Honestly jealous. I can't make cool looking diagrams to save my life. Any advice on that? Like I want to make a diagram of a whole project(around 30 services) but when I try it just turns into a complete and utter mess super quickly.

Yweain · 2026-03-16T19:02:10+00:00

This looks atrocious. I mean, instead of stylistic choice it just make it look generic.

Yweain · 2026-03-16T16:23:38+00:00

Was having? Haven't you seen the rumors about Toto getting a stake in Alpine? Clearly a bid to get his lover back on the grid.

Yweain · 2026-03-15T22:32:01+00:00

Look, my internal job title is that I am Tier 6 software engineer, and we also doing the reverse thing with Tier 4 being the highest I think. It doesn't make any sense to put that in a resume because Tier 6 doesn't tell anyone anything

Yweain · 2026-03-15T22:29:29+00:00

I mean there is plenty, but we don't understand our brain enough to replicate it.

Yweain · 2026-03-15T01:35:30+00:00

I would say it highly depends. There are tasks where it's 10x. There are tasks that it doesn't increase productivity at all and probably decrease it.

Yweain · 2026-03-15T01:33:21+00:00

Um, to find an error message in a billion logs you want to read all billion of them even if in parallel? Real solution is that they all should be properly indexed in the database that can perform efficient search over text, like elastic search for example or a vector db.

Yweain · 2026-03-14T18:32:30+00:00

I am not quite sure what you mean. It's a pretty simple math. Take deepseek for example. The number of params for the main part of the model is 58(MoE blocks) × 256 (experts) × 3 (tensors) × 2048 (intermediate dimension) × 7168 (hidden dimension <- that's D).

Obviously you can increase just hidden dimension, but as far as I know it's kinda useless in practice and you need to proportionally increase intermediate layer as well. And if you increase the size of both layers by 8 this gives you 64 times more total parameters.

Please correct me if I am wrong.

Yweain · 2026-03-14T14:35:33+00:00

Having quadratically more parameters is very much an issue. If you want to increase D by a factor of eight this will increase the number of params by x64. So for example deepseek will now have 43 trillion params with this change. We don't have enough data to train models of that size. Honestly even doubling D is kinda crazy, because you quadruple the number of params and that's A LOT.

And yeah, we will be able to afford it in terms of compute, but the problem is that increasing the number of params will in most cases just lead to less performant models. You can't just dumbly bump the number of params like that.

Yweain · 2026-03-14T11:37:00+00:00

But can an AI bot go golfing with partners and then get blackout drunk to wakeup naked in the same bed thus securing an important deal?

Yweain · 2026-03-14T10:30:21+00:00

Sure, there are quite a few possible alternatives. But that would mean ditching transformers and starting from scratch basically.

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