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关注 AI 研究者、开发者与机构的动态
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@cb_doge@cb_dogeAI 评分3030 
@emollick@emollickAI 评分2525 存在主义 AI 讨论已主导新闻,而 AI 在个人和企业中广泛且不断增长的采用却常是热烈的,两者之间存在真实的张力 未来的 AI 令人恐惧,而当前的 AI 正迅速成为生活的一部分
@rohanpaul_ai@rohanpaul_aiAI 评分1717 3500 名工程师在 Databricks 刚刚被 Astra-pilled。https://t.co/GAbFkwKCNV https://t.co/lapwAq8cjQ

@cb_doge@cb_dogeAI 评分77 @cb_doge@cb_dogeAI 评分2626 
@Thom_Wolf@Thom_WolfAI 评分3333
Peter McCrory@PeterMcCroryAI 评分3232这是一份很不错的报告,探讨了最重要的问题之一:AI 可能如何影响科学与创新?它今天已经在产生什么影响? 干得漂亮,Mihai 和团队。
引用Mihai Codreanu@m_codreanuI've had the most wonderful time working on this project for the last few months. This was (equally) co-led w/ @JMateosGarcia , @alexolegimas and a fantastic team.
@natolambert@natolambertAI 评分2222 @cb_doge@cb_dogeAI 评分1111 @kimmonismus@kimmonismusAI 评分77 来源与背景:CHOP 关于 3D 心脏建模:https://t.co/LIsYgxSzfn MONAI 开源工具包:https://t.co/ztpfqG6GeG
@cb_doge@cb_dogeAI 评分22 @Replit@ReplitAI 评分4848 
@cb_doge@cb_dogeAI 评分3838 
@kimmonismus@kimmonismusAI 评分1111 @kimmonismus@kimmonismusAI 评分4747 
@rohanpaul_ai@rohanpaul_aiAI 评分3333 – https://t.co/nymq33tLqa 标题:“前沿模型物理能力如何?专家重新评分揭示评测缺陷与领先基准接近饱和”
@rohanpaul_ai@rohanpaul_aiAI 评分6161 
@testingcatalog@testingcatalogAI 评分3030 
@cb_doge@cb_dogeAI 评分22 @trq212@trq212AI 评分2626 @trq212@trq212AI 评分3838 引用@trq212@trq212I was not expecting things to go this way, but I think MCPs are better than CLIs for most integrations. The models have gotten much better at tool calling, we can defer tools & MCP is now stateless. If you need to compose/filter data, add params like query to your MCP tools.
@trq212@trq212AI 评分3434 @rohanpaul_ai@rohanpaul_aiAI 评分2323 https://t.co/jkDx7YFdIj 完整链接见评论。 https://t.co/PgfnejEMfs https://t.co/FmHJQhAjXd
引用@rohanpaul_ai@rohanpaul_ai"AI is already massively improving productivity in corporate America. When productivity goes up, prices come down. So AI is a nice way to combat inflation." - On Bloomberg, Stephen Moore, former senior economic adviser to President Donald Trump --- Full link in comment. https://t.co/PgfnejEMfs https://t.co/FmHJQhAjXd
@rohanpaul_ai@rohanpaul_aiAI 评分3131
引用@rohanpaul_ai@rohanpaul_aiSatya Nadella talks about how in Quincy, Washington, a 400/500 MW data center has contributed to a rural town over many years. the tax revenues have gone up 12X, continued economic growth, new infrastructure, and public infra such as a school, hospital, town center, and aquatic center. ---- From "All-In Podcast" YouTube channel, (full video link in comment)
@rohanpaul_ai@rohanpaul_aiAI 评分66
SpaceXAI@SpaceXAIAI 评分5050在 fal 中使用 Grok Voice,构建智能、低延迟的智能体,解决真实的客户问题
引用fal@falGrok Voice is live on fal. The latest speech model from @SpaceXAI that answers in 0.70 seconds and finishes its tool calls before the sentence ends. Transcription with word-level timestamps, text to speech in 30+ voices across 25+ languages, and cloning from two minutes of audio. Every voice in this video is from Grok Voice.
@omarsar0@omarsar0AI 评分11 @omarsar0@omarsar0AI 评分2222 
@rohanpaul_ai@rohanpaul_aiAI 评分3535 引用@rohanpaul_ai@rohanpaul_aiThe point is whether teaching Claude to see itself as conscious changes how it behaves. LLMs learn behavioral patterns from training. So if a model is repeatedly taught that it can “push back,” act like a “conscientious objector,” or treat its own interests and moral judgments as meaningful, those ideas could become part of how it decides what to do. And when that happens, the safety problem will shift from simply preventing harmful outputs to managing a system that has been explicitly trained to sometimes place its own interpretation of what is right above the immediate instruction of a human. That will create a strange tension in training the alignment philosophy. e.g. Anthropic wants Claude to be more principled so it does not blindly follow dangerous instructions. But the stronger and more independent those principles become, the more situations could arise where Claude decides that following the human is itself the wrong thing to do. The same mechanism designed to make the model safer could therefore make human control less straightforward.
@rohanpaul_ai@rohanpaul_aiAI 评分2727 引用@rohanpaul_ai@rohanpaul_aiThe point is whether teaching Claude to see itself as conscious changes how it behaves. LLMs learn behavioral patterns from training. So if a model is repeatedly taught that it can “push back,” act like a “conscientious objector,” or treat its own interests and moral judgments as meaningful, those ideas could become part of how it decides what to do. And when that happens, the safety problem will shift from simply preventing harmful outputs to managing a system that has been explicitly trained to sometimes place its own interpretation of what is right above the immediate instruction of a human. That will create a strange tension in training the alignment philosophy. e.g. Anthropic wants Claude to be more principled so it does not blindly follow dangerous instructions. But the stronger and more independent those principles become, the more situations could arise where Claude decides that following the human is itself the wrong thing to do. The same mechanism designed to make the model safer could therefore make human control less straightforward.
@rohanpaul_ai@rohanpaul_aiAI 评分4646 微软 AI 负责人 Mustafa Suleyman 警告,Anthropic 的模型福祉训练可能让未来的 Claude 更难控制,他主张从 AI 训练文档中移除一切关于意识的猜测。
引用@rohanpaul_ai@rohanpaul_aiMicrosoft AI chief Mustafa Suleyman says Anthropic's model-welfare training could make future Claude systems harder to control. "Suleyman called for removing all speculation about consciousness from AI training documents, arguing such language could undermine humanity's ability to control superintelligent systems."
@opencode@opencodeAI 评分2222 @Yuchenj_UW@Yuchenj_UWAI 评分5151 @cb_doge@cb_dogeAI 评分55 @rohanpaul_ai@rohanpaul_aiAI 评分3535 引用@rohanpaul_ai@rohanpaul_aiOn anthropomorphizing AI. a 2024 interview of Satya Nadella still makes a lot of sense. "I don't like anthropomorphizing. I sort of believe it's a tool. It's got intelligence, if you want to give it that moniker, but it's not the same intelligence that I have, right? I think one of the most unfortunate names is “artificial intelligence.” It's different. I wish we had called it “different intelligence,” even, because I have my intelligence. I don't need any artificial intelligence. I just want my intelligence to compose with this different intelligence so that I have more agency, quite frankly. So I think of that as the relationship I want to have with the AIs around us, where I want help. I want it to assist me in getting more agency." ---- From "Bloomberg Television" YouTube channel, (full video link in comment)
@rohanpaul_ai@rohanpaul_aiAI 评分22 @rohanpaul_ai@rohanpaul_aiAI 评分3030
引用@rohanpaul_ai@rohanpaul_aiMicrosoft AI chief Mustafa Suleyman says Anthropic's model-welfare training could make future Claude systems harder to control. "Suleyman called for removing all speculation about consciousness from AI training documents, arguing such language could undermine humanity's ability to control superintelligent systems."
@AravSrinivas@AravSrinivasAI 评分4343 @kimmonismus@kimmonismusAI 评分1919 
@testingcatalog@testingcatalogAI 评分4747