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Sakana Fugu

sakana.ai

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121–130 of 141 posts

Re: Sakana Fugu

#121

Post by wasabi991011 »

IdiotSavage wrote: post #89
holistio wrote: post #24

Earlier quoted context omitted.

TIL: I just found out that base58 disallows I (capital i), l (lowercase L), O (capital o) and 0 (zero), so I could only generate GrxoJt4eNXE2QaQ55iPSa7hhiYdzCo8ZeAuokmh2Cai. (don't send anything, sharing only because of the base58 fun fact I didn't know)

More fun facts: Omitting those characters makes it good for generating passwords if they need to be typed in by hand. Double-clicking a base58 string always selects the whole string and it doesn't wrap accidentally, thanks to missing / and +, so it's also convenient to copy and paste.

Unfortunately, no special characters means that a base58 string will often be rejected as a secure enough password.

Re: Sakana Fugu

#122

Post by maxdo »

blks wrote: post #119
maxdo wrote: post #114

Earlier quoted context omitted.

i burned ~20k+/mo on codex.

Did you make those money back?

It is hard to stretch every single token to a win but …

The major two deals it was purposed to are still up on the air , if we win sure , 60x win

Re: Sakana Fugu

#124

Post by goodmythical »

rvz wrote: post #25
holistio wrote: post #23

You pay $200/month to Anthropic, $200/month to OpenAI, $200/month to Cursor, $200/month to $200/month to Google, and seeing that it didn't come to a nice round $1024/month, you pay $200/month to Sakana to coordinate it all, because why not. While you're at it, feel free to send me $200 as well, I'll generate a crypto address ending with "AI".

Pay $0 to run a local model or even a cheap DeepSeek V4 model via their API which is close to free per million tokens. These prices are just going to get raced to $0.

Where do you acquire free hardware and free electricity such that you can host local models for $0?

Re: Sakana Fugu

#129

Post by schmuhblaster »

I’ve been working on my own harness / “orchestration layer”, not with the goal of reaching frontier level performance, but rather boosting performance of smaller (locally hostable) models. Unfortunately, I don’t have VC money to burn on running hundreds of evals, but some preliminary results do indicate that it could work[0].

https://deepclause.substack.com/p/how-to-make-small-models-p...

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