This is surely a good thing. The only thing better than this is to build a tall multi purpose structure on that same land AND THEN put solar panels on top of that structure.
There's some examples in the quickstart on the website but I'll add an explicit e2e example case for that too. Otherwise the tests for that are a little lower level in the code! I'll add the RSF (merging of the two lists) example for that too!! Thanks for the feedback.
Well c-suite lied to everyone and was dealing in bad faith. When thay came to light they immediatly lost support and interest from highly skilled researchers in the area, from that point onward, their only additional offerings would be whatever tech evangelists can rustle up, so nice ui some cool features etc. But really ground breaking stuff that takes celever engineering or the kind of thinking that cannot be taught/approximated? Gone. So OpenAI, despite its massive headstart, will just continue to fall behind. When youre smart enough money stops mattering beyond keeping a roof over your head and food in your mouth. At that point your world view and personal beleifs become far more valuable, and smart people always come to the conclusion violence is never worth it, ve it physical, information based, social, meotional, whatever. OpenAI is an incredibly violent company, so inherently scares off talent.
- The pure python repl started off in PyPy, although a lot of work was done to make it ready for prime time by the COython core devs
- The lessons from HPy are slowly making their way into CPython, see https://github.com/py-ni
- There were many fruitful interactions in fixing subtle bugs in CPython that stemmed from testing the stdlib on an alternative implementation
I really like PyPy’s approach of using a Python dialect (RPython) as the implementation language, instead of C. From a conceptual perspective, it is much more elegant. And there are other C-like Python dialects now too - Cython, mypy’s mypyc. It would be a shame if PyPy dies.
Most pure Python libraries run on PyPy without porting, while incompatibilities come from C extensions written against the CPython C-API such as numpy, lxml and many crypto libraries that either fail or run poorly under PyPy's cpyext compatibility layer.
If you plan to support PyPy, add it to your CI, prefer cffi or pure Python fallbacks over CPython C-API extensions, and be ready to rewrite or vendor performance-critical C extensions because cpyext is slow and incomplete and will waste your debugging time.
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