OpenAI launches Codex Transformation Partners, a program with Accenture, PwC, Infosys, and others to help enterprises deploy and scale Codex across the software development lifecycle.
SoftBank's loan talks could redefine AI investment financing, signaling either increased lender confidence or persistent valuation skepticism.
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Insider Brief PRESS RELEASE — Engram, the company building the learned memory layer for AI, has emerged from stealth with $98M in funding from General Catalyst, Kleiner Perkins, Sequoia Capital, Factory, Modern, Amplify Partners, Neo and notable angels and advisors including Assaf Rappaport, co-founder and CEO of Wiz, Andrej Karpathy, co-founder of OpenAI, and Pieter Abbeel, AI […]
Cerebras' growth highlights the increasing demand for AI infrastructure, emphasizing the need for robust execution to maintain investor confidence.
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It was one of the biggest tech headlines in June: Amid the race leading up to the initial public offerings (IPOs) of artificial intelligence (AI) giants, the United States used its “blocking card” to disable Anthropic’s latest models. Citing national security concerns, the Trump Administration forced the company to prevent non-U.S. citizens (even in the US) from using its most advanced models — the very ones it had just unveiled. Speculation suggests the same thing could happen to OpenAI.
The ban on Anthropic was not lifted until June 30. The US administration said that, in the intervening weeks, it had worked with the company to “review and approve Fable5 to ensure it aligns with the US government and strengthens US leadership in AI.” For its part, OpenAI confirmed that its next major launch would begin with a preview for “trusted partners ”—a list it has shared with the US government.
Are these companies falling victim to their own marketing — having touted that their models are beco
Do you think of tools such as OpenAI's Codex or Anthropic's Claude Code as developer tools, built only for writing software? Not the case. A recent project at SmarterX shows how these tools can be repurposed for one of the most common (and tedious) marketing tasks: making sense of messy data.
The surge in AI infrastructure IPOs by 2026 could significantly transform tech investment strategies and reshape market dynamics.
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The LLM harness's success in solving theoretical CS problems could revolutionize scientific research, enhancing problem-solving across disciplines.
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