

Bluesky amplified their problems by retaining old Twitter’s dogshit discoverability/search. If you have fewer users, it’s important to make those users count, yet somehow it feels even harder to search than other social networks


Bluesky amplified their problems by retaining old Twitter’s dogshit discoverability/search. If you have fewer users, it’s important to make those users count, yet somehow it feels even harder to search than other social networks


Gonna go out on a limb here and say that getting into AI was the best thing Zuckerberg ever did for humanity, specifically the decision to release Llama as open weight (albeit obnoxious license) early on. That was the thing that showed the whole world open weights could work. Even if modern open weight models aren’t direct descendents of Llama, and even if Meta subsequently pivoted to closed weights, that’s still something that shouldn’t be forgotten.


The coding skills are pretty meh relative to its size, but apparently its image processing skills are turning out to be top notch.
Interesting… Google’s Gemini, which similarly boasts strong multimodal capabilities, is also having problems being competitive on coding. Wonder if it’s just a coincidence.


Weird how the article doesn’t mention a key factor: the Chinese labs have really low headcount compared to their Western competitors, and organizationally they’re much more focused on model building than sidequests. Deepseek had only a couple hundred employees until recently, and accordong to leaks only had one or two people maintaining their consumer facing app.


Yeah, they are currently engaged in a major spat with Huawei, which is accusing them of price gouging HBM supplies. Sounds familiar…


aren’t playing for profit
CXMT is probably the most profitable tech company in China right now.


I feel like at this point we need shade on demand more.
He can be an asshole and still correct. AI must be distributed, not controlled by a small handful of gatekeepers.