adrianvi

5 ms·

1.
by adrianvi 7d ago
> That is a leap in logic It is not, it doesn't matter if a brain's neurons or a prediction algorithm managed to get the solution if it has done so in a (sort of) reliable way. https://en.wikipedia.org/wiki&#x2F
2.
by adrianvi 7d ago
Yes, the optimal solution won't be achievable, it will burn lots of compute and we need better simulations so that less errors are made (and will be made). Still, if LLMs are capable of writing working code, art and solving math proble
3.
by adrianvi 8d ago
I do think that slightly smarter LLMs and a good (although not perfect) autorouting algorithm could solve 99% of hobbyist's projects and simple industry boards, due to the repetition of those patterns in real life. The LLM would learn
4.
by adrianvi 2mo ago
I can't speak for all cases, but the AI space is seeing improvements month by month, so it is beneficial to wait until it settles (a model becomes the standard in intelligence/price) before designing and mass producing an "LL
5.
GitHub Copilot App(github.com)
3 points by adrianvi 3mo ago|0 comments
6.
by adrianvi 3mo ago
Important to note that both OpenAI and Anthropic do not allow the subsidized monthly subscriptions for enterprises. Companies have to pay monthly for the harness app (codex, claude code) and the tokens are priced separately based on standar
7.
by adrianvi 4mo ago
I'm not sure if your estimate is right. These summer months you will get 7000 AI credits (4000 from september, iirc). Each AI credit is 1 cent. Meaning, 100 AI credits = 1 $. Then they have a price table that is the official public API
8.
GitHub removed the old copilot multipliers on a pricing page(docs.github.com)
4 points by adrianvi 4mo ago|3 comments
9.
by adrianvi 4mo ago
So, the day arrived when some users (annual billing Pro and Pro+) would see their usage bar fill faster. I checked today and they modified it so you can't see the original page. Unfortunately, nobody saved it on the wayback machine (I
10.
by adrianvi 4mo ago
step 1: create the problem, step 2: sell the solution, step 3: profit
11.
Show HN: Xecai, a minimal Python interface for LLM providers for RAG systems(github.com)
1 points by adrianvi 6mo ago|0 comments