RT arena.ai (@arena)🚨BREAKING: @xAI’s first model in Video Arena debuts in the top 3!Grok-Imagine-Video ranks #3 on the Image-to-Video Arena and #4 on the Text-to-Video Arena.It is close to the top-ranked @GoogleDeepMind Veo 3.1 and @OpenAI Sora 2 Pro models.Grok-Imagine-Video offers:- Text-to-video and image-to-video capabilities- Native audio generation- Up to 15-seconds video durationCongrats to @xAI on this strong launch! ...

Google DeepMind's CEO says AI systems must master continual learning, memory, more efficient context windows, and better long-term reasoning and planning to get to AGI. ...

It was wonderful to catch up with Minister @joteo_ylm as always. Singapore has a very ambitious & forward-looking approach to AI - really excited to deepen our collaboration as we open our new @GoogleDeepMind offices there - and we're hiring for the office! https://t.co/rt2GOclBDG ...

Core Insights - The article emphasizes that individuals without traditional academic backgrounds can still secure opportunities in leading AI research labs like OpenAI through personal effort and strategic actions [2][25]. Group 1: Success Stories - Keller Jordan, who graduated from UC San Diego without any published papers, improved a research paper by a Google researcher, which led to a collaboration and a published paper [5][6]. - Keller's project, NanoGPT speed run, gained significant attention in the community, showcasing his ability to optimize a Transformer model and document his work thoroughly [6][7]. - Sholto Douglas transitioned from McKinsey to AI by engaging in independent research and asking insightful questions on GitHub, which caught the attention of a Google engineer and led to an interview opportunity [10][11]. - Andy L. Jones, a semi-retired quantitative trader, wrote a self-published paper that impressed xAI's Igor Babuschkin, leading to his recruitment at Anthropic [14][19]. - Kevin Wang, a student with a strong recommendation and a notable paper at NeurIPS, successfully joined OpenAI, highlighting the importance of mentorship in the recruitment process [21][23]. Group 2: Industry Trends - The article notes that AI research is becoming increasingly closed, with fewer public projects, but improving existing work remains a viable way to demonstrate capability [6]. - It highlights that many successful researchers in AI are not active on social media or traditional academic platforms, yet they contribute significantly to advancements in the field [13]. - The current era presents unique opportunities in AI research, where individuals can influence technology development while also receiving competitive compensation [26][28]. - The article concludes that a PhD is not a strict requirement for becoming a successful researcher or engineer; proactive engagement and impactful independent projects are key [28][29].

these LLMs, these foundation models like Gemini, they're getting better and better with each iteration and um we see no end to that. Um but on the other hand, to get to full AGI, there's some missing capabilities still. >> Deis Hosabis, CEO of Google Deep Mind at the World Economic Forum in Davos, Switzerland.He runs Google's AI research lab, which put out for all of us Gemini. different models are getting good at different things. You know, maybe like Claude for Co specifically, uh things like Gemini, amaz ...

Core Insights - The Global AI Agent Application Committee (GAAAC) was established in early 2026, marking a significant milestone in the governance of AI agents, focusing on scaling, standardization, and accessibility [1] - GAAAC aims to fill the gap in current AI governance by providing operational rules for end-users, particularly non-technical individuals and small businesses, to effectively utilize AI agents [2] - The committee plans to release the world's first Charter for Responsible AI Agent Deployment, which will include six core systems to ensure responsible AI usage [3][4] Group 1: Governance and Structure - GAAAC is the first non-governmental international organization focused on AI agent applications, aiming to create a governance mechanism that is independent of government and large corporations [2] - The committee's members include entrepreneurs, freelancers, small business owners, educators, community representatives, AI developers, legal experts, and ethicists, forming a comprehensive governance loop [2] - The Charter will include a trusted identity certification system, scenario adaptation assessment framework, and cross-cultural ethical guidelines among other components [3][4] Group 2: Strategic Vision and Implementation - The committee's vision is to empower individuals and small enterprises, enabling them to leverage AI for productivity enhancements, thus transforming AI from a tool into a partner [1][2] - GAAAC's establishment is a strategic extension of Liu Xiaochun's vision of "one-person companies," which aims to help individuals become businesses through AI [5] - The committee will also implement a "sandbox regulatory" model to balance innovation and regulation, allowing new AI agents to operate in controlled environments before broader deployment [7] Group 3: Global Reach and Local Impact - GAAAC intentionally avoids being labeled as a "Chinese organization," emphasizing its commitment to neutrality and global collaboration [6] - The committee has partnered with various Chinese cities to localize its charter and support initiatives aimed at empowering rural youth and marginalized groups [6] - GAAAC aims to redefine traditional concepts of employment and productivity, envisioning a future where individuals can manage multiple business activities simultaneously with the help of AI [7][8]

Demis Hassabis is the CEO of Google DeepMind. Hassabis joins Big Technology Podcast to discuss where AI progress really stands, where the next breakthroughs might come from, and whether we’ve hit AGI already. Tune in for a deep discussion covering the latest in AI research, from continual learning to world models. We also dig into product, discussing Google’s big bet on AI glasses, its advertising plans, and Ai coding. We also cover what AI means for knowledge work and scientific discovery. Hit play for a w ...

I know you're very focused on driving scientific progress, just discovering new materials. Even we've seen now Gemini being integrated into humanoid robots is the alpha fold moment for the physical world. And I here.What is that and what does that look like. Yeah, I spent a lot of the last year actually looking very carefully into robotics. I do think we're on the cusp of a kind of breakthrough moment in physical intelligence.I still think we're about 18 months, two years away from doing. We need to do more ...

He’s not saying it is a bubble, but Microsoft CEO Satya Nadella knows what one would look like. Speaking at the World Economic Forum in Davos, Switzerland, on Tuesday, the Microsoft CEO said whether there’s an AI bubble depends on one not-so-surprising factor: adoption rates. “For this not to be a bubble by definition, it requires that the benefits of this are much more evenly spread” beyond just AI firms and the tech industry, Nadella said. Early indications suggest the industry may have its work (human, ...

2026.01. 20 作者 | 第一财经 吕倩 中金公司研究部分析认为，2025年初DeepSeek发布以来，港股七家科技龙头股（阿里、腾讯、小米、中芯国际、网易、快手、百度）最高一度贡献了恒 生指数37%回报中的14ppt（百分点），占到四成。经过三年的突飞猛进，目前已经很少有人会从底层质疑AI产业本身的前景，但仍会担心最终兑现速度 和投资之间可能存在差距。 中金团队认为，泡沫本身并非坏事，也推动了产业发展，讨论是否会变成泡沫也没有太多意义，更重要的是确认所处的阶段。 微信编辑 | 七三 本文字数：833，阅读时长大约1.5分钟 1月20日，港股开盘，恒生科技指数跌0.22%，大型科技股多数下跌。昨日股价下跌的智谱（2513.HK）与MINIMAX-WP（0100.HK）开盘股价短暂上 行，之后迅速走低，截至发稿，智谱跌8.48%，MINIMAX-WP微涨0.79%。 19日，智谱收跌10.4%，MiniMax收跌13.7%。原因既有昨日港股普跌因素影响，也在基本面上受大模型公司高投入、高亏损特征拖累。财务数据显 示，2022年至2025年上半年，智谱累计亏损超62亿元；2022年至2025年9月，Min ...