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Meta is reportedly in talks with financial firms to secure up to $29 billion in funding for new data centers in the US, according to the Financial Times. The plan includes $3 billion in equity and $26 billion in debt, allowing Meta to expand its AI infrastructure without putting added pressure on its own balance sheet. As part of the push, Meta has signed long-term power agreements with a nuclear plant and energy company Invenergy. The company is also aggressively hiring AI talent, including recruiting specialists from OpenAI with multi-million dollar offers, and recently acquired a 49% stake in Scale AI for about $14 billion to bolster its own superintelligence team.

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OpenAI is demonstrating how deep research agents can automate complex research tasks. These agents use the recently released o3-deep-research-2025-06-26 model through OpenAI's API, as well as web search and internal document search with the MCP system. The typical workflow involves four specialized agents: Triage, Clarification, Instruction, and Research. When a user submits a query, the system first checks and, if needed, clarifies it. Then, an instruction agent builds a structured research request, which the research agent carries out.

Image: OpenAI

For simpler tasks, OpenAI offers a lightweight single agent powered by the o4-mini model. This setup is intended for developers looking to create scalable research workflows with OpenAI's tools.

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Runway is launching a new platform called "Game Worlds" next week, letting users create text-based adventure games using written input and AI-generated images. The company plans to slowly expand the platform's features. CEO Cristóbal Valenzuela says Runway is in talks with game companies to use their data for training AI models and to explore ways to apply its technology in game development. Valenzuela also notes that game developers are currently adopting AI faster than film studios. Game Worlds is available at play.runwayml.com.

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Shopify CEO Tobi Lütke and former Tesla and OpenAI researcher Andrej Karpathy say "context engineering" is more useful than prompt engineering when working with large language models. Lütke calls it a "core skill," while Karpathy describes it as the "delicate art and science of filling the context window with just the right information for the next step."

Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial.

Andrej Karpathy

This matters even with large context windows, as model performance drops with overly long and noisy inputs.

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OpenAI is opening up API access to its deep research models, giving developers tools like automated web search, data analysis, MCP, and code execution. The deep research versions of o3 and o4-mini, already used in ChatGPT, are now available through the API for tasks that require up-to-date information and advanced reasoning. Web search is also supported by models like o3, o3-pro, and o4-mini. Pricing starts at $10 per 1,000 calls for reasoning web search, while the price for GPT-4o and GPT-4.1 web search has dropped to $25 per 1,000 calls.

Another addition is webhooks, which automatically notify developers when a task is complete, so there’s no need to keep checking the status. OpenAI suggests using webhooks for longer-running jobs like deep research, since they can improve reliability.

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Microsoft is being sued by several authors who say their books were used without permission to train a Megatron model. The lawsuit, filed in federal court in New York, claims Microsoft used a dataset of about 200,000 pirated books to build a system that mimics the style, voice, and themes of the original works. The plaintiffs are asking for a ban on further use and up to $150,000 in damages per title.

Courts in similar cases involving Meta and Anthropic have said such use may qualify as "transformative" under fair use rules. But it is still unclear if using pirated books overrides fair use, or if scraping copyrighted content from the internet is considered legal and to which extent, and whether this harms the market for the original books, which could prevent the use from being considered fair use.

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