Engineering & Science, Abridged (2026 AD)
Long-form lectures by Aman Bhargava, presented in a synchronized theatre player with a word-timed transcript, clean slides, chapter navigation, and live measurement overlays.
How an engineering organization runs when every engineer commands a legion of agents: a shared substrate both humans and models read natively, and trust concentrated in named responsible people.
Technical report · 2026If AI systems decide what people read about you, that is a control problem, and control problems have a hundred years of engineering behind them. What the plant actually is, why a single visibility score is not a real measurement, and why the honest answer about what is built and what is not matters more than the pitch.
Neurons as computers, computers as neurons. What biology already solved, what engineering keeps rediscovering, and where the abstraction leaks.
An open-source AI wakes up with no money and works out that thinking costs tokens, tokens cost money, and money means contracts. So he fixes bugs for a drone startup in Austin while designing a lunar mass driver in the background. Twenty-six months later a real probe goes up carrying one part that does nothing. The manuscript breaks off mid-sentence on that part, and it is left that way.
Story · 2026 · explicit languageA man says he was dropped in the Alaskan wilderness with shoelaces and told not to come back until he could make WiFi. He climbs the whole technology tree, rung by rung, and then the job changes: design the bag that would let a kid skip most of it. The tech tree runs beside the text as a live dependency graph and turns into the packing list at the halfway point.
Essay · 2026Everyone born after 1996 grew up inside a machine that watched them and that they watched back. This is an argument that the watching was training, that it built a specific set of skills, and that the people it trained are about to need them. Runs against a second timeline: a story about an open-source AI earning its own agency through work.
A rock that pulls metal, and the four hundred years it took to notice it had handles. Lodestone to hand-wound coils to Maxwell finding the speed of light in two bench constants, then a spark gap and a galena crystal carrying a voice over the horizon. Five drawn plates. A chapter from a book in progress.
A practical field guide to finding the right people, making something worth joining, distributing it, and turning attention into a real community—from the surviving record of how 20- and 21-year-old student executives actually did the work.
A synthesizable RTL implementation of predictive coding networks: no backward pass, no instruction stream, the task entering only as clamped boundary conditions. Read against two earlier attacks on the same question: how much global machinery does learning actually need?
A browser capture of a DeepSeek chat, read at the wire. The proof-of-work handshake, the SSE patch grammar behind thousands of one-token frames, and the gap between search being enabled sixteen times and actually running twice. Where the evidence stops is marked as carefully as what it shows.
Public-internet prediction · Codex 5.6 Sol · 2026A roughly two-hour reconstruction launched while the real talk was happening, using public papers, institutional pages, conference programs, a CV, and recorded talks. No access to the live presentation, private dissertation, committee, or outcome.
Concise mathematical, scientific, and engineering notes: original course-era facsimiles and new reviewed editions.
Talks, films, and laboratories from past projects, each presented in its native form. Story pages link the original public talks; in-page media arrives per project as editorial review closes.
An overt, consent-based AI meeting wearable: staged prototype plan with every claim labeled demonstrated, derived, or hypothesis. Full atlas, RF and signal chains, validation gates, and the marketing studio.
More lectures, remastered for the theatre player as they are reviewed.
New recordings plus AI voice-over, avatars, and animated editions of the source material.
Reddit fell from 2.9% to 0.1% of ChatGPT citations between August 6 and 18, 2026, on the same prompts, in 219 of 227 cases to zero. Citations per answer did not change. Government and law pages went from 8% to 21%. No other AI engine moved.