homo-techno-capital-memetic acceleration is a generative process with wonderful creation it's amazing we've gotten this far, we must keep going. We can't even begin to imagine the wonders that will be produced as our civilization advances further

What a week. @planepowers Launch Week is wrapped. Full recap below. We shipped across the full surface of work: work items, queries, dashboards, releases, docs, AI, MCP, Cursor, and Bitbucket.

Aging isn’t entirely genetic. Cytoskeletal microtubules crumble in Alzheimer’s, releasing tau (a microtubule-associated protein whose placement encodes synaptic plasticity). What if aging is a symptom of cells losing track of time, or accelerating their clock rates? What clocks? How do cells keep track of time? I’m glad I asked. Microtubules are fractal time crystals.

A 25-year-old MIT PhD student stood in front of a classroom in January 2018 and started teaching the most ambitious deep learning course on the planet. His name is Alexander Amini. He's been teaching it every single January for the last 8 years, and the entire course is uploaded to YouTube for free within weeks of being recorded on campus. Here's what almost nobody tells you about this course. MIT 6.S191 was never designed to be a watered down public version of an internal class. It is the internal class. The same lectures the on-campus students sit through are the lectures uploaded to YouTube. The same labs the on-campus students submit are the labs you can run in Google Colab from your laptop. The same problem sets. The same projects. The same guest lectures from researchers at OpenAI, Google DeepMind, and NVIDIA. The only thing you don't get is the MIT credential. Everything else is identical. Amini and his co-instructor Ava Soleimany rebuild the course every single year because the field moves so fast that last year's lectures are already half obsolete. The 2026 version covers the architecture of frontier LLMs, modern RLHF, multimodal models, and diffusion in a way that did not exist in any curriculum even 18 months ago. A self-taught engineer in Lagos, a high schooler in Karachi, and a working software developer in Berlin can all open the same playlist tonight and be learning from the same instructors as a 22-year-old paying $60,000 a year to sit in a Cambridge auditorium. This is the most quietly democratizing thing happening in technical education and almost nobody outside the field has heard of it. The course is at The lectures are on YouTube. Both are free. Most people will scroll past this post. The few who open the link will be in a different position by March than they are tonight.

We are replacing @Jira at 10 of the top 100 largest enterprises in the world. That means @Atlassian's top, very largest customers are moving to @PlanePowers. Al-native. Self-hosted. Customer-controlled. Compliant. Enterprise grade (10,000 to 200,000+ user scale).

What’s way more impressive is that there’s QUINTILLIONS of quantum mechanically coherent tryptophans across the brain. Our biological “qubits”. The mitochondria are just the batteries / energy source.

I’m coming around to @ylecun’s JEPA … When you study quantum mechanics deeply enough, you realize that living systems have holographic computing substrates called microtubules … which form long-range coherent networks … and those are holographic! JEPA is very hologram-esque: — predicts in embedding space, not pixels (holograms encode interference, not images) — masked prediction = whole-in-part (any fragment constrains the whole) — relational, not absolute (meaning = predictability between parts) — EBM framing = learned holographic associative memory (cf. Plate HRRs, Kanerva SDM)