I'm with you on all points except for it being bought.
Programming has long succumbed to influencer dynamics and is subject to the same critiques as any other kind of pop creation. Popular restaurants, fashion, movies - these aren't carefully crafted boundary pushing masterpieces.
Pop books are hastily written and usually derivative. Pop music is the same as is pop art. Popular podcasts and YouTube channels are usually just people hopping unprepared on a hot mic and pushing record.
Nobody is reading a PhD thesis or a scholarly journal on the bus.
The markers for the popularity of pop works are fairly independent from the quality of their content. It's the same dynamics as the popular kid at school.
So pop programming follows this exact trend. I don't know why we expect humans to behave foundationally differently here.
> Nobody is reading a PhD thesis or a scholarly journal on the bus.
As someone who is involved in academia, I can attest that most of my colleagues (including myself) do in fact read quite a few papers on buses (and trams - can't forget those)
> I'm with you on all points except for it being bought.
Stars get bought all the time. I've been around startup scene and this is basically part of the playbook now for open core model. You throw your code up on GitHub, call it open source, then buy your stars early so it looks like people care. Then charge for hosted or premium features.
There's a whole market for it too. You can literally pay for stars, forks, even fake activity. Big star count makes a project look legit at a glance, especially to investors or people who don't dig too deep. It feeds itself. More people check it out, more people star it just because others already did.
Machines with the 4xx chips are coming next month so maybe wait a week or two.
It's soldered LPDDR5X with amd strix halo ... sglang and llama.cpp can do that pretty well these days. And it's, you know, half the price and you're not locked into the Nvidia ecosystem
the ux feels extremely similar down to the elicitation ... but I did some more research ... they were started independently in april 2025. Therefore, one being a fork of the other is almost impossible and there is no evidence for it. Also, opencode is in go and gemini is in typescript.
Sadly my above misinformation can no longer be edited.
No it's not. It's 2 cherry picked data points with a sample size of 1 of a complex system with multiple confounding factors such as a pandemic
You can look at other neighborhoods such as palms in Los Angeles, which has the most aggressive housing build out in all of California. Median rent has increased - sometimes more housing can create more demand
Did rents in Palms go up because they built housing or because it's a great location in a city with increasing rent almost everywhere?
Or in other words, is there any econometric evidence that building housing increased rents in Palms, or could we be confusing correlation with causation?
Exactly. You can't just look at two data points in a system with hundreds of confounding variables, many of them unquantifiable and say "aha! This simple linear equation of supply and demand, that they teach in middle school, is correct!"
https://en.wikipedia.org/wiki/Xserve
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