# More Trillion Dollar IPOs, Anthropic $3T, Zuck's Price War, China Ends Open Source?, Trump Accounts

> Source: <https://vuci.ai/all-in-with-chamath-jason-sacks-friedberg/episode/more-trillion-dollar-ipos-anthropic-3t-zucks-price-war-china-ends-open-source-trump-accounts/>
> Published: 2026-07-11 02:12:00+00:00

- TAM
- Total Addressable Market — the total revenue opportunity for a product or service if it achieved 100% market share. Used here to argue intelligence is the largest TAM in history.

- Jevons paradox
- The economic observation that as the efficiency or affordability of a resource increases, total consumption of that resource rises rather than falls. Applied here to AI token pricing.

- ARR
- Annual Recurring Revenue — an annualized measure of subscription or recurring revenue, used to compare Anthropic and OpenAI's scale.

- Confidential filing (S-1)
- A process allowing companies to submit their IPO registration statement to the SEC privately before going public, letting them negotiate terms without full public disclosure.

- Index inclusion
- The addition of a newly public stock into a major market index (e.g., S&P 500), which forces passive index funds to buy shares and can significantly boost demand and liquidity.

- Lockup period
- A post-IPO window during which insiders and early investors are contractually prevented from selling shares, typically 90–180 days. SpaceX pioneered a staged lockup with milestone-based releases.

- Model fungibility
- The ability to swap one AI model for another interchangeably in an application without losing memory, context, or history — the holy grail for enterprises wanting to route to the cheapest model.

- Post-training
- Fine-tuning a pre-trained AI model on a specific dataset or set of tasks after initial training, used to specialize a general model for a particular enterprise use case.

- Harness
- In AI deployment, the orchestration layer (prompt engineering, memory, skills, context management) that wraps a model and determines how efficiently tokens are used.

- Inference
- The process of running a trained AI model to generate outputs (e.g., answers, code) in real-time, as opposed to training. Inference costs are what companies pay per token.

- Distillation
- A technique where a smaller model is trained to replicate the outputs of a larger, more capable model, effectively transferring knowledge. Alleged to have been used by Chinese labs on American frontier models.

- Vibe coding
- Colloquial term for using AI tools (like Lovable or Claude Code) to generate software with minimal manual coding, driven by natural language prompts.

- Reconciliation bill
- A Congressional legislative process that allows budget-related bills to pass the Senate with a simple majority (51 votes) rather than the usual 60 needed to overcome a filibuster.

- Superannuation
- Australia's mandatory employer-funded retirement savings system requiring employers to contribute a percentage of wages into a privately managed account owned by the employee. Used as a comparator to Trump Accounts.

- P-doom
- Shorthand for 'probability of doom' — a metric used in AI safety circles to express the estimated likelihood that advanced AI leads to catastrophic outcomes for humanity.

- Agentic
- Referring to AI systems that can autonomously plan and execute multi-step tasks, make decisions, and take actions over extended periods without human intervention at each step.

- Nerf
- Slang for deliberately limiting or restricting a model's capabilities, often for safety or compliance reasons. Used here to describe Claude being restricted on health-related queries.

- Accredited investor
- A legal designation under US securities law for individuals or entities meeting certain income or net worth thresholds, which grants access to investment opportunities restricted from the general public.

- GAAP revenue
- Revenue recognized under Generally Accepted Accounting Principles — the standard US accounting rules for when and how revenue is recorded, often used to distinguish from ARR or bookings.

- Cron job
- A scheduled task in computing that runs automatically at specified time intervals (e.g., hourly), used here to describe automated AI agents running recurring trend-spotting tasks.
