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Anthropic: $517 Billion Calculation, OpenAI Prepares Its Agents

Models & LLM·Tom Levy·

Anthropic: $517 Billion Calculation, OpenAI Prepares Its Agents

Anthropic: $517 Billion Calculation, OpenAI Prepares Its Agents
Key Takeaways
1Anthropic has signed $517 billion in TPU-focused computing agreements over 11 months
2OpenAI plans to launch managed agents at DevDay 2026
3Several technical projects are underway: real-time spatial video at ByteDance, agent optimization for TPU, outsourcing inference, AI text detection in the browser, MMLU score analysis
Why it matters : These initiatives reflect the acceleration of investments and the diversification of research directions in AI.

Research and development activities are progressing rapidly across various fronts, ranging from live spatial video to prompt protection. Meanwhile, Anthropic has secured computing contracts totaling $517 billion for TPU inference. For its part, OpenAI plans to introduce managed agents at DevDay 2026.

Spatial Video, Benchmarks, and Security: Active Projects

ByteDance is leading an ongoing project, under the direction of Zhang Yiming, to develop a real-time spatial video model. One initiative aims to optimize the development of Google accelerator agents for TPU. Progress has been made in outsourcing TPU inference capabilities. An exploration is focusing on potential vulnerabilities related to prompt injection via tool outputs in AI systems. An overview presents tools that can detect AI-generated text in browsers. Finally, an analysis examines two MMLU scores and what they reveal about AI benchmarks.

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$517 Billion in TPU Computing Agreements

Over the past 11 months, Anthropic has secured computing contracts worth $517 billion. This initiative aims to enhance the processing and inference performance of TPUs, specialized processors designed to accelerate machine learning operations.

OpenAI Plans to Launch Its Agents at DevDay 2026

OpenAI is planning to launch managed agents during DevDay 2026. These agents are intended to optimize interaction and efficiency within AI systems, ensuring a more seamless and intuitive management experience.

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