3 ms·

> If AI can figure out one of the most difficult aspects of molecular/biochemistry—protein folding—then reverse engineering proprietary code ought to be a snack

> If AI can figure out one of the most difficult aspects of molecular/biochemistry—protein folding—then reverse engineering proprietary code ought to be a snack. If not now it soon will be, and that'll be a game-changer. lol no. for one biochemistry ai is for quite small molecules and limited dynamics in regards to water or a single other molecule

surrealistic 1y ago
This whole cycle is full of caveats like this. Some people claim LLMs solved NPL and are on a pathway to true intelligence. Yet they keep turning out nonsense and we're now speedrunning 80s style expert systems on top of them. Protein folding, like you said. Material sciences, "AI can produce bespoke recipes to spec" yeah lots of ideas that might or might not work in practice with zero pathway to production. Statistical analysis of past data might look impressive with 2020s levels of power and compute density. But so far they've added more noise than signal to our systems. And yet people will insist every day that the noise is music.
- nicman23 1y ago
  not only that but i had to use h100s to actually do anything useful. the cost for the uni was like 20k for a few weeks
hilbert42 1y ago
When I was a kid thermionic vacuum tubes were still king and the only semiconductors of note were point contact diodes (OA91, etc.) and junction transistors such as the OC71 and OC44 — go look their specs up! In chemistry, GC–MS was still a dream. If you'd even hinted to those in the know that something like an Intel i9 or an AMD Ryzen would become the norm within the lifetime of someone living at the time they'd have said you'd lost your marbles and probably suggested you were suffering from delusions. Fact is you've seen nothing yet, in 50/60 years time the electronics/industrial/biochemical worlds will be unrecognizable. I wonder how old you are.
- nicman23 1y ago
  i mean yeah i agree with you but i am just sharing the current level of bioinformatics and AI also 30

surrealistic 1y ago

This whole cycle is full of caveats like this. Some people claim LLMs solved NPL and are on a pathway to true intelligence. Yet they keep turning out nonsense and we're now speedrunning 80s style expert systems on top of them. Protein folding, like you said. Material sciences, "AI can produce bespoke recipes to spec" yeah lots of ideas that might or might not work in practice with zero pathway to production. Statistical analysis of past data might look impressive with 2020s levels of power and compute density. But so far they've added more noise than signal to our systems. And yet people will insist every day that the noise is music.

nicman23 1y ago
not only that but i had to use h100s to actually do anything useful. the cost for the uni was like 20k for a few weeks

hilbert42 1y ago

When I was a kid thermionic vacuum tubes were still king and the only semiconductors of note were point contact diodes (OA91, etc.) and junction transistors such as the OC71 and OC44 — go look their specs up! In chemistry, GC–MS was still a dream. If you'd even hinted to those in the know that something like an Intel i9 or an AMD Ryzen would become the norm within the lifetime of someone living at the time they'd have said you'd lost your marbles and probably suggested you were suffering from delusions. Fact is you've seen nothing yet, in 50/60 years time the electronics/industrial/biochemical worlds will be unrecognizable. I wonder how old you are.

nicman23 1y ago
i mean yeah i agree with you but i am just sharing the current level of bioinformatics and AI also 30