1) Read more books,
2) Learn more vocab,
3) Just write more!
Nothing crystalizes the thoughts coursing through our heads than writing something out - often times refining it - and forcing yourself to use new vocab that you have independently learned.
> Our business model: We aim to license and sell IP on the materials we discover, as well as the IP on how to make these materials. We're also exploring an alternate business model where we sell the harness+tools we use to discover materials to semiconductor and chemical companies, allowing them to discover materials on their own. We're leaning towards the latter to start, but we expect that we'll do both in the long run.
This is cool! Question though: If you have the keys to the kingdom, why wouldn't you just spin up compute + Agents to do auto-discovery of new materials over time? You would then be able to monopolize IP to the materials themselves, and be the sole supplier.
I had been having the same feeling, and the same doubts. Then I went on a trip abroad and there the Mars bar tasted _exactly_ how I remember it from my childhood (I think it was in Romania, but I'm not sure).
So I think the recipes are definitely adjusted over time, and depending on the local market.
There's a subtlety about using AI that can make folks less efficient if they aren't careful.
Since LLMs spit out LOTS of text, a person may waste lots of valuable time simply meandering through responses, and trying to keep it all in their head.
Contrast this to talking to a person who might just say "umm.. no no that's not how it works - because blah".
My personally anecdote on poor LLM usage making things take longer:
I had a side (still work) project I wanted to complete that was extremely simple. In my AWS account create an EC2 image builder pipeline that set up a specific component. Just one, very uncomplicated and documented component.
I figured I’d just have Codex do it. I realized after about 3 days of various back and forth in between other work things that we were somehow stuck.
I figured this must be more complicated than I had imagined so I take a look. No, apparently Codex had failed, made an incorrect assumption as to why it failed (again, documents were provided and dead simple) and then continued trying to fix the issue based on the incorrect assumption.
> Since LLMs spit out LOTS of text, a person may waste lots of valuable time simply meandering through responses, and trying to keep it all in their head.
That is called "doing your job correctly". If you aren't actually understanding what the LLM puts out and reviewing it, you are going to get burned sooner or later.
Depends on what phase of the foraging you're doing. Working with AIs can mean anything from "be a google I can talk to" to "solve this very concrete problem right now". The rabbit hole potentials are very different for each one.
But what if all your coworkers are doing it, so by taking the time to understand and review LLM output you’re painting a target on your back? Anyway I’m not getting burned- the company is.
1) Read more books, 2) Learn more vocab, 3) Just write more!
Nothing crystalizes the thoughts coursing through our heads than writing something out - often times refining it - and forcing yourself to use new vocab that you have independently learned.