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techpression

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I actually have very detailed specifications around the CSS, the problem is that LLM's are trained mostly on codebases with high amounts of complexity so they like to create layer of abstractions that only make your codebase much harder to reason about, machine and man alike. This is very visible in CSS, where almost every single thing automatically becomes a component wrapping the CSS (be it React or LiveView in my case), which is very often meaningless because the CSS itself is the component.

Codex Micro 7 days ago

Thanks for the link, it seems a lot more capable and interesting, to a much better price.

It's also very very far from anything general intelligence. This is actually where I think we see the best ROI, we have a specific task or problem and we target it. I remember reading about a model trained on railroad tracks. By putting cameras on trains to take images while running like normal, then using the model to detect cracks before they cause issues.

Has anything really important been solved by AI yet, or where is this radical (imo) belief around AGI coming from? Genuinely curious, I know there are some math problems solved and ML has been used for far longer than AI to improve things, but where is clean (efficient) energy, the cure for cancer (or any of the horrible neurological disorders, take your pick), new hardware designs, quantum computing solutions, etc etc, you get the gist. Where are the things that will actually send humanity into the next era of civilization, I don't care about more React apps (but I do enjoy my coding companions for other things).

Heck, a proof for P=NP or P!=NP or solve the The Riemann Hypothesis. Just give me something truly exciting and I will believe AGI is around the corner, until then I will see it as cool technology, that while beneficial to me, also helped cause the biggest amount of disinformation we've every seen.

AI 2040: Plan A 11 days ago

And now we’re desperately trying to ”upgrade” penicillin (and friends) because it doesn’t work any more in many cases. Do you think we can repeat the process or do we need something completely different?

This is why biological comparisons are weak, we talk about a few agents verifying and checking LLMs, meanwhile the world consists of almost an infinite number of the same, just operating on different time scales. I agree that with we don’t know the timescale, and we definitely don’t know if long term it will continue to work ”adding more of the same”. Throwing more penicillin at the problem sure as hell didn’t, but it looked great initially. And I’m obviously not arguing the human benefits of penicillin, just that what we thought would work forever quickly didn’t.

I would see less fake news, fake profiles and fake content in general. I would be happier, even if I would miss some of it. It’s kind of sad how much we accept the idea of ”trust absolutely nothing” nowadays, even movie trailers for fictional movies are made to drive clicks for ads… obviously there has always been a large trust issue online, but with gen ai we entered a new era of it.

TypeScript 7 13 days ago

The illusion of safety.

”Look the type says the data has this shape”, but it doesn’t. This has led to so many cases of ”no data validation” in my experience, how people solve that is usually then with zod, and now you have added a massive runtime dependency instead of local validation.

TypeScript 7 13 days ago

I've seen TS hurt more than help in many cases, because people think types define the world, and then they get malformed JSON (or just a new structure) and their world crumbles.

Yes, it's a skill issue, but oh dear the amount of developers who have that issue.

Resetting Xbox 16 days ago

I think developers = studio in this case, management included. It’s the same issue as Hollywood really, making content for a loud minority will not generate revenue. Compare how Marvel Rival performs to any Marvel Hollywood content after Endgame.

Not at all the take I got, it was a specific, very corporate, section about ”say nothing bad about LLMs” that was later removed due to backlash that caused the author to lose trust. They even go into specifics regarding the LLM policy and that it’s in many parts sound.

When I read the mentioned section I was very baffled, it’s like if Jensen of NVIDIA had made an appearance and wanted to sell GPUs.