現在最時髦的是什麽? 搞AI。
在中國搞AI靠誰? Chinese
在美國搞AI靠誰? 還是得靠Chinese
Meta的AI Team， 最近新招的17位，絕大多數都是集中在某一個minority的族裔， 9名Chinese，為什麽不能有diversification? 難道這不算racism (in a positive way
)?
同時，這個地球上還有另外一個14億人口的國家，進入這個team的隻有1位。 9比1。
這也反映出智力層麵的巨大差距，Chinese數學好，在全世界哪裏都是普遍被人認可的。 我們都有體驗，在中國，讀書不好的小商小販，在做生意時，絕對不會把錢數錯。
同時看看這個漂亮國的精英的算術是怎麽做的。Senator John Kennedy在最近一次聽政會上鬧了個笑話， 他把$1.58 billion，換算成 1580個 million， 最後折合成$1.58 trillion (視頻在最底下)。
因此這個論壇上的我們，在股市中，吃點蝦米、喝點稀湯的，應該不會很能難吧
附:
Mark Zuckerberg announces creation of Meta Superintelligence Labs.
Jun 30 20252:32 PM
We also have several strong new team members joining today or who have joined in the past few weeks that I’m excited to share as well:
- Trapit Bansal -- pioneered RL on chain of thought and co-creator of o-series models at OpenAI.
- Shuchao Bi -- co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAI.
- Huiwen Chang -- co-creator of GPT-4o’s image generation, and previously invented MaskGIT and Muse text-to-image architectures at Google Research
- Ji Lin -- helped build o3/o4-mini, GPT-4o, GPT-4.1, GPT-4.5, 4o-imagegen, and Operator reasoning stack.
- Joel Pobar -- inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning.
- Jack Rae -- pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind.
- Hongyu Ren -- co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAI.
- Johan Schalkwyk -- former Google Fellow, early contributor to Sesame, and technical lead for Maya.
- Pei Sun -- post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo’s perception models.
- Jiahui Yu -- co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAI, and co-led multimodal at Gemini.
- Shengjia Zhao -- co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAI.
During a Senate hearing on Trump's 2026 education budget, U.S. Education Secretary Linda McMahon made a glaring math mistake while discussing $1.58 billion in federal spending for student grant programs TRIO and GEAR UP. Senator John Kennedy asked if the amount equated to “one thousand five hundred and eighty million dollars,” prompting a confused affirmation from McMahon. Watch
