The AI Moive Star
Hollywood met its first AI actress — and couldn't look away. The question is no longer whether Tilly Norwood is real. It's whether that matters.
According to a report by Hayden Field for The Verge, the era of subsidized, free AI access is rapidly drawing to a close as major labs like OpenAI and Anthropic face immense investor pressure to turn a profit on their massive infrastructure investments. Gartner estimates that capital investment in AI data centers will hit $6.3 trillion between 2024 and 2029, meaning providers must generate nearly $2 trillion in annual revenue by the end of this period just to avoid financial write-downs—a feat that requires a mind-bending 50,000x to 100,000x growth in token consumption. This economic pressure is actively trickling down to users through stricter rate limits, feature restrictions (such as Anthropic cracking down on third-party tools like OpenClaw), the introduction of sidebar advertisements, and a pivot toward token-based enterprise pricing. Because newer reasoning models and autonomous AI agents consume an immense number of tokens to "think through" tasks—often resulting in expensive and wasted background compute—companies are being forced to aggressively raise prices or restrict access, pushing downstream tech startups and businesses to cut costs by heavily auditing model efficiency and adopting open-source alternatives.
Hollywood met its first AI actress — and couldn't look away. The question is no longer whether Tilly Norwood is real. It's whether that matters.
A technology reporter sold his house for $605k— without a real estate agent, and without losing a dime of commission.
Asked to expand a text prompt, Gemini Pro instead spent 15 seconds thinking — then went ahead and generated the video without being asked.