| ▲ | Semkas 3 hours ago | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
Won't deny that this is an interesting idea, but I feel like waiting on the output of an LLM for 40 hours feels like it is completely antithetical to what makes classic Hackathons appealing / educative. More generally, I don't think the shape of a hackathon (intensely working for a short timespan) maps at all onto the way LLM Math progress has seemingly been made so far; AFAIK it mostly involves picking out something for the Model, then having it run for a week with sporadic correction / encouragement. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | Donald 3 minutes ago | parent | next [-] | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
Have you done any math hacking with sol/astra or fable? It’s more fun than using them for coding. The models are great at the monotony, like constructing a Gröbner-basis, etc. But they’re all still absolutely awful at coming up with new ideas, new proof methods, or new constructive forms. So you spend all your time on coming up with novel hypotheses yourself and handing off the rote work to an agent. It’s also quite fun to get instant results by finding isomorphisms into unfamiliar areas of mathematics that previously would’ve required some networking in order to build a collaborative relationship. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | Aboutplants 3 hours ago | parent | prev [-] | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
If the goal is to accomplish something then why limit yourself with available tools? I’m not a full on AI optimist but it is absolutely the most powerful tool in a host of applications. From a Hackathon perspective, obviously in the 90s it was much more unorganized, but the same ethos existed. Use all available tools to accomplish the goal/task, it’s where a lot of incredible learning came out of. The same will hopefully happen in scenarios like this one | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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