Haha say you want to play co-op with your buddy or girlfriend or something and you just shelled out 59.99 or whatever for the latest microslop product..
You just connect a controller right?
Nah, on ps5, you need to setup a whole ass sony account, and then login to it, and then you need a new microsoft account to link that sony account to, and then maybe, you might be able to play couch co-op.
Even local Halo or CoD on the 360 was confusing. Same thing but the accounts were local and weirdly tied to the controller (or something, idk). PS3 was plug n play though.
So you don't have a redundant server until $1marr?
That means you also don't apply updates to the server/kernel that require a reboot until then? Or you accept the downtime? And what happens if it doesn't boot properly?
None of that is an issue depending on what your software actually does. Now sure if you're doing something like logging, or you're cloudflare, or meta or some shit then yeah it's not going to cut it.
Generally I target enterprise b2b customers, they use the application from 9-5 generally. Weekly scheduled downtime is not the end of the world.
If it doesn't boot properly, which has never happened, I build a new server - takes 10 minutes max. Litestream keeps database relatively fresh, so it gets pulled on boot. Floating IP points at new server. We do this in dev regularly, the only difference in prod is a few variables.
Even if your target is higher uptime or bigger scale, you can go far further than you think on sqlite - it's multitudes of magnitude quicker than postgres for most general use cases.
Most software projects go nowhere. YAGNI. Build something valuable and people will put up with bullshit for a while.
Yeah it blocks for the 0.001ms it takes for 99.99% of queries to come back. Or you can enable WAL and allow readers to read at the same time as somebody is writing.
AI trains AI already, agents are happy to spin up real training pipelines for deep learning or regression models or whatever you want right? I guess the advantage to your project is that it provides a framework to allow the agent to access extra compute?
Yes I'd heard the labs (Anthropic mostly) speaking about LLMs training LLMs, so I wanted to make things a little more concrete and test it out myself! Essentially you are correct though, my framework allows the agent access to compute, but also the agent itself is being trained to become better at training models with that compute.
Yes exactly, and also there is auto-research by Karpathy, Fable-5 on parameter golf etc which point to the direction of highly-assisted / autonomous AI training as the future. Wild.
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