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RT @Yuchenj_UW: More papers should include a “Things We Tried That Didn’t Work” section. DeepSeek R1 does this too, and it’s incredibly va…
gpus and tractors Neural networks from Scratch book: https://t.co/hyMkWyUP7R https://t.co/8WGZRkUGsn
like lowkey don’t underrate that if you’re the 7th engineer on apple notes that every feature you ship goes to a product a billion people use everyday. that’s lit as fuck
dei ex machina @openai, past: posttraining o3/4o, sora 1 & 2, applied research
I repeat again that translations of languages far removed from Roman family (even Russian, nevermind Mandarin) have to be redone with LLMs, otherwise you are likely reading schizobabble from an X Studies Prof in the best case. Worst case it’s Chyna/Russia Hand propaganda.
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
国内的云厂商是不是害怕开发者找到文档？Google AI studio恨不得把API调用方法写在脸上。火山引擎和阿里的生图API文档，藏在神他妈的一个按钮里，关键点开后还不是文档，还是一个说明书性质的东西，想看那种以import起手的文档，您且找去吧！
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my take nowadays is that lots of incredibly talented smart people waste years of their life floundering independently or being generally ineffective, mostly due to lack of experience/knowledge, when they should be inserting themselves into institutional power structures and quickly just dominating within them (given low talent bars). i’ve seen many friends join large established or developing companies and instantly climb within. most business, impact, and important work is power-law distributed. but then the flipside is you really shouldn’t get stuck too long either. jump into an org, make a large impact, get experience, then use your newfound knowledge of how the industry/world works to go build something new.
like lowkey don’t underrate that if you’re the 7th engineer on apple notes that every feature you ship goes to a product a billion people use everyday. that’s lit as fuck