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Foundation Models: The Industry Report
A deeply researched report on the foundation model industry as of mid-2026: a sector where two labs, OpenAI and Anthropic, capture roughly 89% of startup AI revenue; where hyperscaler capital spending has tripled to an estimated $725 billion a year; where inference has overtaken training as the dominant cost; and where open-weight Chinese models now trail the closed frontier by only months. The report maps market structure, competitive strategy, the economics of scale, regulation, and where value is migrating up the stack.
The AI Bill Has Come Due: Tokens vs. Humans
This documentary-style video traces how artificial intelligence went from a cheap labor-replacing miracle to a runaway cost center. After ChatGPT's 2022 launch, companies raced to adopt AI and cut tens of thousands of jobs across tech and fast food. But forced internal adoption, token-based performance metrics, and a status-driven culture of 'token maxing' inflated demand far beyond real need. Combined with data-center component shortages and canceled construction projects, token prices more than doubled between late 2025 and mid-2026. Giants like Microsoft, Meta, Uber and Nvidia are now confronting AI bills that rival or exceed the human labor they replaced, and with Anthropic and OpenAI expected to go public and raise prices, enterprises are being forced into an unprecedented choice: tokens or humans.
Climbing the Kardashev Scale: SpaceX AI Satellites and the Terafab
In a SpaceX studio sit-down at the company's Bastrop, Texas facility, Elon Musk and Starlink engineer Ian join a host to connect the dots between Starship, Starlink solar technology, and a bold plan to put AI compute in orbit. Musk frames the effort using the Kardashev scale, arguing that humanity currently harnesses less than a trillionth of the sun's power and must move to space to ascend it. The team outlines three limiting factors to solve at scale, mass to orbit, solar power, and chips, and unveils a draft design for a SpaceX AI satellite delivering roughly 150 kW peak power. The conversation escalates from launching thousands of orbital compute satellites to building a 100-million-square-foot 'terafab' chip factory, and ultimately to lunar mass drivers that could fling AI satellites into deep space, scaling civilization's energy harvest toward a terawatt per year and beyond.
Only in America: My Conversation with Jensen Huang
In an interview for the 'Only in America' series, former Secretary of State Condoleezza Rice sits down with Nvidia founding CEO Jensen Huang at Nvidia's new California campus. Huang recounts his journey from a nine-year-old immigrant sent from Thailand to a boarding school in Oneida, Kentucky, through Oregon State University and Stanford, to founding Nvidia on a business plan many considered impossible. He reflects on the chicken-and-egg problem of introducing a new computing architecture, the decades of grit before AI validated his vision, cautious optimism about artificial intelligence, and why he considers himself the embodiment of the American dream.
OpenAI's $122B Megaround Shows AI Funding Has Gone Nuclear
On March 31, 2026, OpenAI closed the largest private funding round in history — $122 billion in committed capital at a post-money valuation of $852 billion. Anchored by Amazon ($50B), Nvidia ($30B), and SoftBank ($30B), with continued participation from Microsoft and a sweeping syndicate of global institutions, the round dwarfs every prior private tech raise and cements OpenAI as the world's most valuable startup by a wide margin. The company is generating $2 billion in monthly revenue, counting 900 million weekly ChatGPT users, and is widely expected to pursue an IPO.