For over a year, Google has been running an AI called AlphaEvolve with a single mission: improve the company that built it. It has saved Google close to two billion dollars, redesigned part of their next chip, and made the training of its own successor faster. Then, in the summer of 2026, math problems that had resisted humanity since 1939 began falling to AI within hours, and Elon Musk and Sam Altman both declared that the Singularity has already begun. This documentary examines whether they're right.
Every claim in this video comes from published research and primary sources: Google DeepMind's own reports, peer-reviewed papers, METR's measurement data, verification write-ups by Fields Medal winners, and the published work of a Nobel Prize-winning economist who disagrees with all of it. This isn't a prediction about some far-off future. It's an audit of what's happening right now.
In this video, we cover:
The experiment Google ran on itself, and the two billion dollars it quietly recovers every year
Why the chip inside Google's next AI was partly designed by an AI
The 23-year-old amateur who cracked a 60-year-old math problem with a single prompt
The AI announcement so embarrassing an OpenAI executive deleted it
The test where ordinary humans score 100% and the world's best AI scores less than 1%
Why the last technological revolution was invisible for 40 years, and the three signs this one has truly arrived
⏱️Timestamps:
0:00 – Intro
0:28 – What is the Singularity?
01:30 – Where does it come from?
02:05 - Google’s Experiment
04:02 - Darwin Goedel Machine
04:42 - Mathematics
06:24 - METR Tests
08:01 - Not everyone agrees
10:07 - The Money Aspect
10:57 - Technology takes time
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📚 RESOURCES & FURTHER READING
GOOGLE DEEPMIND
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms (Google DeepMind Blog, May 2025)
https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/
AlphaEvolve: Scaling impact across fields (Google DeepMind Blog, 2026)
https://deepmind.google/blog/alphaevolve-impact/
SELF-IMPROVING AI
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents (arXiv, May 2025)
https://arxiv.org/abs/2505.22954
Anthropic CEO says 90% of code at the company is written by AI (Fortune via AOL, October 2025)
https://www.aol.com/articles/anthropic-ceo-says-90-code-030401205.html
THE MATH DISCOVERIES
Remarks on the disproof of the unit distance conjecture (arXiv, May 2026)
https://arxiv.org/pdf/2605.20695
AI solved a mathematical problem that had stumped the world's best minds for decades (Forbes, April 2026)
https://www.forbes.com/sites/anishasircar/2026/04/17/ai-solved-a-mathematical-problem-that-had-stumped-the-worlds-best-minds-for-decades/
METR: THE CAPABILITY CURVES
Measuring AI Ability to Complete Long Software Tasks (METR, March 2025)
https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/
Time Horizon 1.1 (METR, January 2026)
https://metr.org/blog/2026-1-29-time-horizon-1-1/
THE SKEPTICS
The Simple Macroeconomics of AI, Daron Acemoglu (NBER Working Paper 32487, 2024)
https://www.nber.org/papers/w32487
ARC-AGI-3: Frontier AI scored less than 1% (Medium, March 2026)
https://medium.com/@AdithyaGiridharan/arc-agi-3-dropped-and-frontier-ai-scored-less-than-1-90cd70e65a61
THE DECLARATIONS
Elon Musk: "We are in the Singularity" (X, July 22, 2026)
https://x.com/elonmusk/status/2079839398959697982
The Gentle Singularity, Sam Altman (Personal Blog, June 2025)
https://blog.samaltman.com/the-gentle-singularity
THE HISTORY
The Dynamo and the Computer, Paul A. David (American Economic Review, May 1990)
https://gwern.net/doc/economics/automation/1990-david.pdfGoogle DeepMindAlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmsNew AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluatorsMay 14th, 2025Google DeepMindAlphaEvolve: Gemini-powered coding agent scaling impact across fieldsDiscover how AlphaEvolve optimizes algorithms for genomics, quantum physics, global infrastructure, and more to accelerate scientific progress and solve real-world challenges.May 7th
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