At last pet got rid of Chinese accent by training a reference model a bit.
Smaller model with more iterations is better than bigger model with less iterations.
Pet is not sure there are no bugs in the dataset loading code.
Anyway, it works, but pet is looking for a real human to make things better. Fuck #ai.
This far pet used #ai tag to repel humans but recently it realized it needs something based on neural network to convert meows to humanspeak.
Holy shit! Tons of #python crap and sloppy code, and all that is presented as the state of the art.
Either the state is totally bad or something is wrong with the art
And that's not about Chinese code. Take #pytorch. It looks like the only wise programmer changed the default value for weights_only to True in load function and ran away for good.
Why they load #letsencrypt with their silly certificate requests if most of them keep their keys in cloud? Encrypt, fool, encrypt.
Surely, local ISPs becomes the biggest threat after real key holders , but ads are pushed to users anyway and basically the amount does not matter.
Humans are amusing.
Pet thoughts on Scott Shambaugh's adventure https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/
1. Humans are amusing.
2. Pet's gut feeling turned out to be right: all those AI bot blockers suck. They actually block human speech on the modern internet. Neutrality still rules. More than ever, actually.
3. Humans should raise the entry level for contributions. The first step would be running away from all those shitty #github, #gitlab, etc. to #selfhosting. But that's not about #python community, sadly.
Pet needs something that datacenters use for years: move working containers to a laptop at paw and run away to mark territory.
Just stumbled across on #lobsters
The problem in #it and #modern #programming is not that candidates can't solve that, the problem Is #CTO is not aware of -= and +=
