Keep on to blur preview images; turn off to show them clearly
RT @Dorialexander: So DeepSeek-Math-V2. It could be subtitled: "how to train better verifiers?" and the bulk of it is simply… better data…
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
RT @zhs05232838: We just shared some thoughts and results on self-verifiable mathematical reasoning. The released model, DeepSeekMath-V2,…
🇦🇺 Co-founder: @AnswerDotAI & @FastDotAI ; Prev: professor @ UQ; Stanford fellow; @kaggle president; @fastmail/@enlitic/etc founder https://t.co/16UBFTX7mo
another plus is that if you combine a shadow border (i.e. `ring` in tailwind), with a normal shadow, they'll blend it looks a lot nicer than a normal css `border` with a shadow
code https://t.co/aoWODd36c3
Kimi doing better than Qwen-VI would genuinely surprise me. Rather, K2-VL would not (it's vastly bigger than the biggest Qwen-VL after all), but Qwen team has accumulated incredible expertise at this point, damn 30B MoE competes with Gemini. I wish them luck.
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
RT @jamesonhaslam: this thanksgiving, I am grateful for reinvention, safety nets, and the land of opportunity 🇺🇸 I took this picture 5 ye…
Founder & CEO @userp_io | 60+ team members behind growth at monday, Robinhood, and 100s more. @forbes 30 Under 30.
I mean, even AGIMini 3 Pro says they're a giant that can bruteforce the problem with compute, so why not? (Incredible chutzpah from Gemini, I repeat that I loathe it as a person)
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