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jasonb05

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jasonb05
·5 bulan yang lalu·discuss
Nod. AQ2 was so damn fun!!
jasonb05
·6 bulan yang lalu·discuss
Outstanding!

I cannot wait for a quake engine book. I'm sure a few hundred of us would be happy to pre-pay so you can take some time off work and write it all up :)
jasonb05
·7 bulan yang lalu·discuss
Yep, ShinkaEvolve described here: https://sakana.ai/shinka-evolve/ and available here: https://github.com/SakanaAI/ShinkaEvolve
jasonb05
·7 bulan yang lalu·discuss
Agreed, not mentioned.

Nevertheless, I see a link to github for the OpenEvolve project [1] that in turn states:

> Open-source implementation of AlphaEvolve

[1] https://github.com/algorithmicsuperintelligence/openevolve
jasonb05
·11 bulan yang lalu·discuss
Great post.

My gut reaction is something like: "don't wait around to be picked, get out there and do great stuff"

Want to help the world get the most out of claude? Go out there and do it at an ability and velocity beyond what others think is possible. Go so hard friends think you're mad. That devs consuming your stuff think you're mad.

Create so much amazingly useful/helpful content and help so many people in so many ways that looking back in 1-2 years at the idea of working for anthropic would seem insane to you.
jasonb05
·11 bulan yang lalu·discuss
> ...why should anyone else care or waste their time on it?

Sometimes we (I) might follow ideas over authority/authorship. e.g.: I'll happily read ai generated stuff all day long on topics I'm super into.

Do I have to be the instigator? Can someone else prompt/filter/etc. for me? I think so. They'll do it differently and perhaps better than me.
jasonb05
·tahun lalu·discuss
Great times. Slackware then redhat in the late 90s was how/when I got started with linux and built solid cmdline skills.
jasonb05
·tahun lalu·discuss
I played the hell out of this midi file when I got my soundblaster 16 in the early/mid 90s!
jasonb05
·tahun lalu·discuss
Hmm, it's more that LLMs can be used for population -> candidate solution generation, e.g. operators in a GA.

The innovation is novelty search, e.g. divergent rather than convergent optimization, paired with the capability that LLM genetic operators and representations unlock.

At least, that's my high-level take. google's alphaevolve is the same kind of thing but focused on convergent ga's (i think).