Suffering from success in a good way. ChatGPT truly lost all of its edge.

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.

wow, that would be a big shame. I hope many of the useful learnings are already ported to CPython.

- 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

And more

Almost none of it will have been ported to CPython, as it's a completely different approach.

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.

How do you verify? A legit company CAN post ghost jobs.

Claude Code is definitely stoking the tiny ember that’s almost went out completely.

I am only 43, but on the last year of my career, suddenly my level of care in big corporate politics nose dived to almost zero. To the point that I happily retired myself.

After messing around with some hard subjects, with the help of Claude Code, the little boy who used to love programming so much is waking up again.

Based on the conversation, is it actually coming?

It's currently listed as a 'Likely accept' https://github.com/orgs/golang/projects/17/views/1

Generally means it'll be going in unless something new comes up which alters people's thinking.

Yes

I like the enthusiasm, but remember that Google used to be: “Don’t be Evil”

As a shareholder, this is super fantastic.

What is the point of stablecoin holder to hold gold?

digital currency cannot be trusted on its own?

If you read the article, it's because Tether also issues a gold token called XAUT whose value is pegged to the price of gold:

https://coinmarketcap.com/currencies/tether-gold/

Their whole market cap only equates to ~14 tons at current prices though… and article says they bought 26 tons in the quarter before this quarter where they bought 27 tons…

Step 1, people hand Tether real money at 0% interest.

Step 2, Tether invests in interest bearing assets.

Step 3, Repeat step 2 with profits from step 2.

The choice of gold is just diversification. Kind of odd timing though.

Real SRE? or low skilled sysadmin drowned in pagers calling themselves as SRE? Because the future is bleak if it’s the latter.