AMD的CEO Lisa Su：台积电美国工厂的芯片成本（相比其他产地）高出5%-20%。 OpenAI和马斯克的公司（对芯片的）需求是巨大的。 ...

智通财经7月24日电，AMD首席执行官表示，来自OpenAI和马斯克公司的需求巨大。 ...

AMD首席执行官苏姿丰：OpenAI和马斯克的公司（对芯片的）需求是巨大的。 ...

Let's start with the Trump action plan. What is this action plan which has been released this morning. Well, it's 23 pages of policy framework, essentially, that is positioned to help what the administration would put it as America winning in Haiti.There's a heavy emphasis on the infrastructure requirements needed, particularly around energy and the energy needed for data center build out. But it goes a little bit further than that in talking about deregulation, essentially cutting red tape on the infrastru ...

Core Insights - The partnership between Instructure and OpenAI aims to integrate advanced AI technology into the Canvas Learning Management System (LMS), enhancing educational experiences for both educators and students [1][2][5] Group 1: Partnership Overview - Instructure and OpenAI have announced a global partnership to embed OpenAI's AI technology into the Canvas platform, marking a significant advancement in education technology [1][2] - This collaboration is part of Instructure's strategic vision to create a future-ready educational ecosystem that includes over 1,100 edtech partners and leading LLM providers [3][4] Group 2: Educational Impact - The integration allows educators to design learning activities that leverage OpenAI's capabilities, fostering deeper engagement and improved educational outcomes while maintaining control over interactions [6] - Students will benefit from personalized learning experiences through dynamic conversations within the Canvas LMS, with educators gaining insights into student interactions [6][8] Group 3: New Tools and Features - Instructure is launching the LLM-Enabled Assignment, enabling educators to create custom AI experiences within Canvas, setting specific learning goals and tracking evidence of learning [7][8] - This tool allows educators to assess the learning process rather than just final outcomes, promoting responsible and effective use of AI tools within a pedagogical framework [9]

The tokenization of private market assets, like @OpenAI pseudo-equity, is the best possible marketing for unencumbered collateral assets like ETH, SOL, etc.Expect 100x more mentions of ”economic bandwidth” for L1 assets. ...

It is all AI in DC this week. The White House just unveiling its AI action plan while OpenAI CEO Sam Alman took the stage at a Fed conference yesterday. For today's Tech, CNBC contributor Mihal Levro joins us from San Francisco with more on OpenAI's DC push.Mihal, it's great to have you back, especially since we could use a hand kind of figuring out what this Washington strategy is going to look like. >> Thanks, Carl. Yeah, there's definitely a flurry of activity this week, but I think it's important to not ...

AI Market Growth & Trends - AI infrastructure spending has reached $0.5 trillion, yet many companies are limited to basic chatbots and code generation [2] - Anthropic's annualized revenue has grown rapidly, 3xing in 5 months, reaching $3 billion by the end of May [3] - OpenAI is projected to reach $12 billion in revenue by the end of 2025, a 3x increase from the previous year, driven by enterprise AI spending [4] - Cost per token for AI inference dropped dramatically by 99.7% from 2022 to 2024 [33] - Google searches for "AI agents" increased 11x in the last 16 months [34] Retool's Agentic AI Solution - Retool is breaking into Agentic AI with the release of Retool Agents, enabling enterprises to build agents with guardrails that integrate into production systems [2] - Retool customers have automated over 100 million hours of work, freeing up human potential [31] - Retool's cheapest agent is priced at $3 per hour [33] Agent Development Strategies - Companies have four options for agent development: building from scratch, using a framework like Lang graph, using an agent platform like Retool Agents, or using verticalized agents [16][17][18][19] - The decision to build or buy agents depends on whether it's part of the core product, involves regulated data, or is a commodity workflow needed quickly [21] - When considering a managed platform, evaluate the breadth of connectors, built-in permissioning, compliance, audit trails, and observability [22][23] Enterprise Considerations for AI Agents - Enterprises need to consider single sign-on, role-based access control, secure integration with external services, audit logs, compliance, and internationalization when deploying AI agents [13][14] - Risks of using AI-generated code in production include hallucinations, unpredictable results, security vulnerabilities, and cost overruns [15]

This video is sponsored by Augment Code. More on them later. All right, first we have an update from Thinking Machines.They just raised a massive amount of capital for what I actually don't quite know. There is very little public information about what they're actually doing. What we do know is that they're going to be training models for enterprise.They just raised $2 billion led by A16Z who basically funds every single investment on the planet at this point with participation from Nvidia, Excel, Service N ...

Core Viewpoint - The article discusses the contrasting positions of major tech companies regarding the EU's General AI Act and the voluntary AI Code of Conduct, highlighting the implications for innovation and regulatory compliance in the AI sector [1][4][7]. Group 1: EU AI Regulation and Industry Response - The EU's General AI Act will come into effect on August 2, 2025, with key provisions affecting general AI models [1][8]. - Over 45 influential European companies have called for a two-year pause on the strictest requirements of the AI Act, expressing concerns that current regulations may hinder innovation and competitiveness [8][9]. - Meta is the only major tech company to explicitly refuse to sign the AI Code of Conduct, citing legal uncertainties and additional requirements beyond the AI Act [6][9]. Group 2: Company Positions on the AI Code of Conduct - French AI company Mistral was the first to commit to the AI Code of Conduct, followed by OpenAI, which emphasized the importance of simplifying regulatory requirements [5][6]. - Anthropic also announced plans to sign the Code, highlighting its commitment to transparency and accountability in AI development [5][6]. - Microsoft indicated a strong likelihood of signing the Code, aiming to play a rational role in AI governance amid geopolitical tensions [6]. Group 3: Regulatory Challenges and Industry Concerns - The EU's AI Act employs a risk-based regulatory model, imposing strict limitations on high-risk AI applications while requiring transparency and accountability from other AI systems [8][10]. - Critics argue that the EU's regulatory approach may stifle innovation, with many small and medium enterprises facing burdensome administrative processes [10]. - The EU is working on proposals to streamline conflicting legal requirements and reduce compliance burdens, aiming to create a more favorable environment for innovation in AI [10].