Please no. They don't have the best interests of React in mind.
They threw the resources behind RSC to make React, a framework for frontend reactivity, force opt-in for frontend reactivity. Meta is needed more than ever at this point, before React fully becomes a framework for burning compute on Vercel's infra.
They might not have the conflict of interest but they also don’t have the business interest either. Meta is a spyware company who makes all of their money from collecting personal data to sell to advertisers. They have zero incentive to dedicate any kind of significant resources to supporting millions of websites using their internal UI library.
I feel like mathematicians should be able to do a second doctorate level degree a few years after their first PhD, that must be in a adjacent field of their own, but not the same.
The purpose of a PhD is to certify that you're able to do independent research. Many researchers retrain (or just add a research interest) in adjacent fields during their postdocs or later. At that point it's just research.
Beside the habilitation example of rando234789 (https://news.ycombinator.com/item?id=44498702), in Russia (and Ukraine) there indeed exist two "doctorate levels": кандидат наук [Candidate of Sciences] and доктор наук [Doctor of Science].
ERNIE 4.5, a new family of large-scale multimodal models comprising 10 distinct variants. The model family consist of Mixture-of-Experts (MoE) models with 47B and 3B active parameters, with the largest model having 424B total parameters, as well as a 0.3B dense model.
Does anyone know if extensive genetic editing for construction wood optimization has been tried? Some planted forests have no food chain role whatsoever (like Eucalyptus in Brazil) so this seems super safe high reward endeavor.
OpenAI knows that everyday someone uses Gemini their ChatGPT brand dies a bit faster. Wonder what Google has in storage for I/O now in May, would be a death sentence to just steamroll with Gemini-3.
Open AI needed to spend $3B pivoting away from bigdata based AI. But instead they went for the most shorted sighted move possible of snapping up the "trendiest" company nobody has ever heard outside the Ycombinator echo chamber.
Typical VI-fallacy BS. If LLMs were actually good they would replace IDEs completely not be integrated.
There's an in between case, where LLMs are useful and give coders a (say) 20% speedup, and everyone has to use them. They don't have to be perfect to be a big industry!
