In this tutorial, we build a complete, production-style LLM workflow using Promptflow within a Colab environment. We begin by setting up a reliable keyring backend to avoid OS dependency issues and securely configure our OpenAI connection. From there, we establish a clean workspace and define a structured Prompty file that acts as the core LLM […]
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A private journal kept by OpenAI President Greg Brockman is now courtroom evidence, and its contents are exactly as awkward as you’d expect when someone’s personal reflections about getting rich collide with a company that was founded to benefit humanity. The diary entries, which span roughly a decade of internal deliberations at OpenAI, were read publicly during the ongoing trial between Elon Musk and the AI company. They detail Brockman’s thinking about transitioning OpenAI from a non-profit to a for-profit entity, including estimates of a pathway to $1B in personal net worth amid a $30B company valuation. What the journal actually says The entries were originally submitted as sealed evidence in October 2025 before being publicly unsealed in January 2026. They cover years of internal debate at OpenAI about the organization’s structure, its financial trajectory, and
The revelations could undermine trust in AI ethics and transparency, impacting investor confidence and regulatory scrutiny in tech and crypto sectors.
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Nothing says “for the benefit of humanity” quite like a private journal entry about becoming a billionaire through AI dominance. That’s essentially the scene playing out in a federal courtroom, where OpenAI President Greg Brockman was asked to read aloud from his own 2017 journal during the ongoing Elon Musk v. OpenAI trial. The entries, which Musk’s legal team introduced as evidence, depict Brockman’s aspirations for personal wealth and control over advanced artificial intelligence. For an organization founded on the premise of developing AI as a public good, it’s the kind of internal documentation that makes PR teams lose sleep. What the journal says, and why it matters Brockman’s journal entries date back to 2017, a period when OpenAI was still positioning itself as a nonprofit research lab dedicated to ensuring AI benefits all of humanity. The excerpts read in
The revelations could undermine trust in AI ethics and transparency, impacting investor confidence and regulatory scrutiny in tech and crypto sectors.
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Hermes Agent, the open-source self-improving AI agent from Nous Research, has overtaken OpenClaw to claim the #1 position on OpenRouter's global daily token rankings as of May 10, 2026 — generating 224 billion daily tokens versus OpenClaw's 186 billion. The milestone places a Nous Research project ahead of an OpenAI-sponsored platform in real-world daily inference volume, just three months after launch.
The post OpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings appeared first on MarkTechPost.
The trial highlights the ethical and strategic tensions in AI development, impacting future governance and collaboration in the tech industry.
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The post Nvidia Crosses $40 Billion in AI Investments, Expanding Equity Bets Across Supply Chain appeared on BitcoinEthereumNews.com.
TLDR: Nvidia has crossed $40 billion in investment commitments in 2026, targeting firms across the AI supply chain. A $30 billion bet on OpenAI stands as Nvidia’s single largest investment, deepening a decade-long partnership. Deals with Corning and IREN tie optical manufacturing and data center capacity directly to Nvidia’s hardware ecosystem. Analysts warn that neocloud investments may be pre-funding GPU purchases, raising questions about organic AI demand. Nvidia has surpassed $40 billion in investment commitments in 2026, backing companies across the AI infrastructure stack. The chipmaker recently agreed to invest up to $3.2 billion in glass maker Corning and $2.1 billion in data center operator IREN. These deals reflect a broader strategy of financing the AI supply chain while securing commercial partnerships. Analysts see both promise and risk in N
