230 karma · joined March 7, 2019
What exactly makes you wish that? I used to use google sheets for workouts but realised:
1. plain text notes are more ergonomic on the phone
2. dumping them into Claude produces more useful analysis than I could hope to extract for the same amount of effort.
I also just keep long running notes for tracking things workouts and meals with headers for dates.
Works better than things like obsidian mobile and copy pasting is a natural filter.
The book is famous for its SSA treatment. Chapters 1-8 are not required to understand SSA. This allows you to walk away with a clear win. Refer to 9.2 if you're struggling with dominance + liveness.
http://www.r-5.org/files/books/computers/compilers/writing/K...
> This article doesn't use the name "Lisp" enough. The language with the best chance of lasting a long time is the one with the simplest syntax. That is Lisp...
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> I noticed you mentioned that "MCP stands for model context protocol." My current understanding, based on the initial problem description and the articles I've been reviewing, is that MCP refers to "Managed Care Plan." This is important because the entire schema and extraction plan are built around "Managed Care Plans."
Session ID: fcd1edb8-7b3c-480e-a352-ed6528556a63
Key Structure Changes:
- Abandoning the "capped profit" model (which limited investor returns) in favor of traditional equity structure - Converting for-profit LLC to Public Benefit Corporation (PBC) - Nonprofit remains in control but also becomes a major shareholder
Reading Between the Lines:
1. Power Play: The "nonprofit control" messaging appears to be damage control following previous governance crises. Heavy emphasis on regulator involvement (CA/DE AGs) suggests this was likely not entirely voluntary.
2. Capital Structure Reality: They need "hundreds of billions to trillions" for compute. The capped-profit structure was clearly limiting their ability to raise capital at scale. This move enables unlimited upside for investors while maintaining the PR benefit of nonprofit oversight.
3. Governance Complexity: The "nonprofit controls PBC but is also major shareholder" structure creates interesting conflicts. Who controls the nonprofit? Who appoints its board? These details are conspicuously absent.
4. Competition Positioning: Multiple references to "democratic AI" vs "authoritarian AI" and "many great AGI companies" signal they're positioning against perceived centralized control (likely aimed at competitors).
Red Flags:
- Vague details about actual control mechanisms - No specifics on nonprofit board composition or appointment process - Heavy reliance on buzzwords ("democratic AI") without concrete governance details - Unclear what specific powers the nonprofit retains besides shareholding
This reads like a classic Silicon Valley power consolidation dressed up in altruistic language - enabling massive capital raising while maintaining insider control through a nonprofit structure whose own governance remains opaque.
Do you have any sources to confirm this?
We're a seed-stage, code generation startup, working to automate the boring tasks in large codebases. If you'd like to push the boundaries of code generation and deploy your work in some of the largest software engineering teams orgs in the world, shoot me an email (it's in the Notion job descriptions).
https://www.notion.so/cerebral-af/Working-at-Recurse-ML-1d3a...
We're a seed-stage, code generation startup, working to automate the boring tasks in large codebases. If you'd like to push the boundaries of code generation and deploy your work in some of the largest software engineering teams orgs in the world, shoot me an email (it's in the Notion job descriptions).
https://www.notion.so/recurse-ml/Working-at-Recurse-ML-1d3a3...