X:Emad Mostaque
@emostaque · X
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@EMostaque@EMostaqueAI 评分1515 @EMostaque@EMostaqueAI 评分44 挺直白的。 不过我不确定可接受的风险水平是什么,也不知道该怎么衡量? https://t.co/jcTHEl6WJt https://t.co/tOuMCflvXc

@EMostaque@EMostaqueAI 评分1717
@EMostaque@EMostaqueAI 评分88 @EMostaque@EMostaqueAI 评分1717 反过来看,AI 有 >10% 的概率能在未来十年内通过治愈疾病和衰老来拯救全人类 https://t.co/ibEd0l652y
@EMostaque@EMostaqueAI 评分2828 @EMostaque@EMostaqueAI 评分88 @EMostaque@EMostaqueAI 评分00 @EMostaque@EMostaqueAI 评分1717 @EMostaque@EMostaque精选AI 评分7272
引用@OpenAI@OpenAIWe’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
推荐理由:OpenAI 称智能体群借下一代模型产出 Navier-Stokes 千禧年难题解答,可对照论文看多智能体在前沿数学中的推进程度。
@EMostaque@EMostaqueAI 评分55 10,000 只随机鹦鹉,呃 https://t.co/rd9iVLJ1fL

@EMostaque@EMostaqueAI 评分55 
@EMostaque@EMostaqueAI 评分1010 @EMostaque@EMostaqueAI 评分2525 
@EMostaque@EMostaque精选AI 评分6969
引用@OpenAI@OpenAIWe’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
推荐理由:OpenAI 称一组智能体借助下一代模型给出 Navier-Stokes 方程解,可了解这一数学难题的 AI 攻关方式与外界反应。
@EMostaque@EMostaqueAI 评分88
@EMostaque@EMostaqueAI 评分99 

@EMostaque@EMostaqueAI 评分3636 @EMostaque@EMostaqueAI 评分2727 
@EMostaque@EMostaqueAI 评分66 om https://t.co/tLpa8lqMlU https://t.co/wH24Ruernw
引用@EMostaque@EMostaquethe only alignment that will work is enlightenment
@EMostaque@EMostaqueAI 评分1313 @EMostaque@EMostaqueAI 评分1212 动态制作你自己的点击式冒险游戏 现在能做到的事有点疯狂,期待更多全球化游戏 https://t.co/9UpE2FVfTE
@EMostaque@EMostaqueAI 评分22
@EMostaque@EMostaqueAI 评分1414 @EMostaque@EMostaqueAI 评分22 @EMostaque@EMostaqueAI 评分2222
@EMostaque@EMostaqueAI 评分66 @EMostaque@EMostaqueAI 评分55 欢迎提交 PR 开源科学万岁 https://t.co/SxSq7a0WBF https://t.co/kIf056lz5f

@EMostaque@EMostaqueAI 评分00 @EMostaque@EMostaqueAI 评分1919 @EMostaque@EMostaqueAI 评分1818 @EMostaque@EMostaqueAI 评分1414 @EMostaque@EMostaqueAI 评分1010
@EMostaque@EMostaqueAI 评分2020 @EMostaque@EMostaqueAI 评分1010 我确实很好奇 @cognition 那边是什么样子,毕竟他们大概有无数个数学奥赛金牌得主 就像他们是不是都能拿到 token 预算去攻克数学题 https://t.co/3IgswhiMQf
@EMostaque@EMostaqueAI 评分5353 Emad Mostaque 称 Astra 在 Stargate Texas 使用了 100k GPU,预训练耗时约几个月。他据此估算,这构成首个 10 亿美元级训练运行。
@EMostaque@EMostaqueAI 评分2020 明年前沿模型将一次性完成一切,比现在快 100 倍、便宜 100 倍 没有可监控的推理轨迹 本能智能 这就是为什么预训练中嵌入的内容更加重要 https://t.co/LMPpCdKgdp
@EMostaque@EMostaqueAI 评分2121 如果你手上握着一个由人类主导的数学成果,你怎么可能不尽快发布它 很明显,在可验证理论领域,任何东西只要给予适当的鼓励,都会被下一代模型轰开 疯狂的时代
@EMostaque@EMostaque精选AI 评分8686 引用@ClementDelangue@ClementDelangueSuper happy to share our intention to join forces with NVIDIA in a $12,930,300,000 acquisition 💛💚 10 years after starting Hugging Face, open-source AI is at an inflection point. Thanks to the community, we’ve shown that it can be a complement, and even an alternative, to closed-source APIs. But for it to happen at larger scale, it needs more compute, more support, more collaboration and more visibility. That’s why we went to talk to Jensen, who offered to do exactly that with us. In addition to doubling down on NVIDIA’s massive contributions to open-source AI (I called them the “King of American open-source AI” earlier this year), they’ve committed to strongly supporting Hugging Face and our mission while keeping the platform open, independent and compute agnostic. The founders and the team are all staying to keep pushing this mission forward. Together, we think we can make open source the default way to build AI, with the goal of empowering 100 million AI builders to own their intelligence rather than rent it. Excited about the next 10 years! 🤗🤗🤗
推荐理由:作者以亲历者视角,说明 Hugging Face 对 Stable Diffusion 发布与后续开源模型扩散的支撑作用。