机器之心报道 机器之心编辑部 NLP 领域被引用次数最多的研究者之一、斯坦福人工智能实验室（Stanford AI Lab）前主任克里斯托弗・曼宁（Christopher Manning）已从斯坦福大学休假，加入 风险投资公司 AIX Ventures 担任普通合伙人。 来源：https://www.wsj.com/articles/ai-researcher-christopher-manning-takes-leave-from-stanford-for-aix-ventures-0ab3cb4e?st=gLsy7t 对于曼宁的加入，AIX Ventures 的创始合伙人 Shaun Johnson 表示：「所有顶尖的 AI 原生工程师都认识 Chris，并且他们都希望与他合作。」 NLP 领域的先驱 曼宁教授是将深度学习应用于 NLP 领域的早期领军人物，在词向量 GloVe 模型、注意力、机器翻译、问题解答、自监督模型预训练、树递归神经网络、机器推 理、依存解析、情感分析和总结等方面都有著名的研究。 此前，曼宁自 2021 年起以兼职投资人身份与 AIX 展开合作，现在将全职投入为公司提供咨询服务。 ...

Welcome back to the week in AI. I'm Kevin Cook, your field guide and storyteller for the fascinating arena of artificial intelligence. We did another space on Friday, my myself and my colleague Ethan Feller on um the 28th, Friday the 28th. I had to remember now that we're in July here. Um here were here was the the post basically the invitation for people to to come with my big topics. What's more doomer AI AGI imminent meaning tomorrow or AGI never? That's an important question. And then welcome to the sca ...

Talent Acquisition & Competition - Meta is attempting to recruit OpenAI employees, but OpenAI's CEO downplays the significance, suggesting Meta is not acquiring top-tier talent [1][2] - OpenAI believes its shares offer greater potential upside compared to the publicly traded Meta [2] - Meta is offering substantial multi-year deals, reportedly worth $300 million, to attract scientists and engineers, with some receiving $100 million upfront [3] Cultural & Performance Implications - OpenAI raises concerns about the potential cultural impact within Meta due to high, guaranteed compensation packages, questioning the work ethic of new hires [4] - The industry observes that employees attracted by high paychecks may lack company loyalty and could easily leave for better offers [5] Large Language Model (LLM) Landscape - Meta is actively working to enhance its Llama LLM, but it is currently considered less successful than those developed by Anthropic, OpenAI, and Google [6]

The biggest benefits seem to come to those who master their second languages fully. That in turn is usually because they have spoken them on a near-daily basis for a long time https://t.co/TmjmNFZqU7 ...

Can Meta deliver on its AI. Got to the right camera in the end there. Lot of all four to get there.Uh, can they deliver on their AI ambitions as the competition heats up. Joining us now, New York University professor emeritus and AI expert Gary Marcus. Gary, great to have you have you with us.I maybe maybe this is a tough question to to answer, but can you buy in outside AI expertise and incorporate it quickly, easily, or is it as complicated as trying to do a massive corporate merger and the kind of teethi ...

Hey, this is Lance from Langchain. You might have heard a lot about the Gemini 2.5% series of models. They've been gaining a lot of attention after a number of releases in recent weeks.I want to show you a few of their capabilities and showcase a really simple but pretty cool researcher I built using the Gemini models and it takes advantage of Gemini's native search tool and video understanding tool for YouTube URLs to do research on a given video as well as a topic. combines that research and will produce ...

Jane Street’s obscure programming language imposes rigour on the firm’s coders. Another advantage is less obvious https://t.co/j657xE01iC ...

【环球网科技综合报道】7月1日消息，据彭博社知名产业记者马克・古尔曼报道，苹果公司正考虑调整其人工智能发展策略，计划放弃自研内部模型，并已 与Anthropic及OpenAI就相关合作展开讨论，评估将这两家公司的大语言模型应用于Siri语音助手的可能性。 据知情人士透露，苹果方面要求两家公司训练适配苹果云基础设施的专用模型版本，此举旨在进一步强化用户隐私保护。古尔曼认为，若此次合作达成，将 意味着苹果放弃原定2026年基于自研"Apple Foundation Models"升级Siri的计划，这一变动可能会引发广泛关注。 消息人士表示，Siri负责人麦克・洛克威尔正主导外部模型的测试工作，多轮测试结果显示，Anthropic的Claude模型表现优于ChatGPT。目前，苹果企业发 展副总裁阿德里安・佩里卡已启动与Anthropic的谈判，但Anthropic提出了每年数十亿美元且逐年激增的授权费要求。若谈判未能达成一致，苹果可能会转 向OpenAI或其他合作商。 在内部研发方面，苹果AI负责人约翰・詹南德雷亚主导的"LLM Siri"项目仍在推进，但进度较为缓慢。该项目的基础模型团队约有100人，由谷歌前 ...

Decoding China's Industrial Policy – Prof Fang and team analysed c. 3 million separate policy documents issued from various levels of government (central, provincial, cities, counties, etc). The three main questions they sought to answer were; The availability of LLMs (large language models) and sophisticated engineering allowed an analysis in detail which would not have been possible two years ago. Only 30% of policy documents were issued by central government – Across the 3m documents, c. 26% were explici ...

[Applause] The defining aspect of a human civilization isn't cognition, neither is it stratification or specialization. It's language. One languages so critical to our being humans and even more so why should we learn them as how do we go about accomplishment.During this presentation, I'm going to briefly go over the history of language, emphasize the benefits of language learning, and explain in detail different say language is ancient. The existence of a unified pronouncable and written language spans mil ...