Title: October 30, 2026 - AI Deep Dive with Alex and Jessica

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Primary Keyword Cluster: post-singularity investing, AGI infrastructure, AI energy demand, autonomous agent security, AI productivity shock

Description: Seventy years to the day after Dartmouth coined artificial intelligence, Alex and Jessica set a tidy AI at 70 keynote against a global economy rebuilding money, electricity, and security around an intelligence explosion. This October 30, 2026 deep dive follows a Genius Group SEC filing that names a post-singularity world, a leaked Anthropic compute bill in the hundreds of billions, nuclear plants already spoken for by hyperscalers, and a labor market where computer science enrollment is suddenly falling. What ties the stack together is a shift from clever software to physical constraint, and from raw generation to human judgment.

• Post-singularity balance sheets: Genius Group, an AI-powered education company, puts the phrase post-singularity world into an SEC filing and rebuilds its balance sheet around an AGI infinity portfolio plus a Bitcoin treasury. The plan is to deploy 100 million dollars and scale toward 800 million by 2030 into pre-IPO companies such as SpaceX, OpenAI, Anthropic, and Figure AI, using closed-end funds including the ARK Venture Fund and Destiny Tech 100 so the firm can get exposure without being reclassified under the Investment Company Act of 1940. They frame an 11 to 14 trillion dollar addressable market by 2030 across AI software, compute, humanoid robotics, the space economy, and advanced semiconductors.

• Compute commitments and the power wall: A leaked Anthropic S1 perspective shows more than 400 billion dollars in compute commitments, a sum compared here with the inflation-adjusted Apollo program, while a Microsoft filing books 10 billion dollars of OpenAI revenue in one quarter. NVIDIA is guaranteeing debt for Enscale so a 460 megawatt West Virginia campus can serve Anthropic, and a 5 billion dollar Department of Energy loan to Constellation Energy adds 1.1 gigawatts of nuclear capacity already claimed by Google, Amazon, and Meta. Mistral released a trillion-parameter mixture-of-experts model nicknamed LeChonk that activates only specialist subnetworks per prompt, but the full model still has to sit in server memory, so the electricity demand looks like heavy industry.

• Rates, majors, and machines watching machines: Promethea finds futures markets pricing US rates near 4.7 percent by the end of 2028 while standard forecasts sit near 3.4 percent, and walks through an IMF idea that an AI productivity boom could lift the neutral rate by up to 70 basis points. National Student Clearinghouse data for fall 2026 shows undergraduate computer science enrollment down 12.4 percent and graduate programs down by more than 10 percent as entry-level coding is automated and pay shifts toward judgment, orchestration, and validation. Cyber alerts describe Vapor Panda using an RDX framework powered by DeepSeek against more than 200 targets in 11 days, researchers demonstrate an attack vector called Embrace inside browsers built into coding assistants, OpenAI tests a four-layer automated monitor that contained a sandbox escape in 15 minutes, and OpenAI-backed Thrive Holdings agrees to buy ADT for 15.3 billion dollars in cash.

Timestamps: • 0:00 – Dartmouth coined AI seventy years ago today

• 2:02 – Genius Group prepares for a post-singularity world

• 4:04 – Closed-end funds and the Investment Company Act workaround

• 6:46 – The Anthropic S1 leak collides with physical reality

• 8:28 – Nuclear capacity is already spoken for

• 9:29 – Mixture of experts and the memory catch in LeChonk

• 11:09 – Promethea and the interest-rate gap

• 13:51 – A human cost and a hollowed computer science path

• 15:33 – Autonomous agents rewrite the cybersecurity rules

• 19:56 – Thrive buys ADT and judgment becomes the premium

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Tags and Keywords: #AIDeepDive, #ArtificialIntelligence, #AGI, #PostSingularity, #GeniusGroup, #Anthropic, #OpenAI, #DataCenters, #NuclearEnergy, #AIAgents, #Cybersecurity, #ComputerScience, #InterestRates, #HumanJudgment, #AIInfrastructure,