What actually makes quantum gravity so hard, where the math and experiments are finally giving traction, and the concrete milestones that would count as real progress toward a provable solution.
A grounded, technical look at the kinds of physics and science most likely trapped behind US classification walls, why that happens, and how we can responsibly surface the truth.
In plain language: what a warp bubble really buys you, how the energy scales as you dial up multiples of c, and what that means for crossing real cosmic distances on real timelines.
A long-form exploration of how Bitcoiners wrestle with the dilemma of hodling versus buying a home, the future of Bitcoin-collateralized lending, and what freedom of time really means when weighing renting against ownership.
How I am turning a tiny, remote 1.25-acre plot in the Arizona desert into a solar-powered radio observatory with a hydrogen-line dish, HF and VHF/UHF antennas, Starlink backhaul, live webcams, and a buried micro-bunker for gear I can run and monitor from anywhere.
A practical blueprint for converting a small Juneau rental into a Bitcoin-powered nonprofit that stabilizes rent, shares upside with tenants, and funds repairs from an on-chain reserve. This is about feasibility, incentives, and why it works in the real world.
A clear-eyed map of a world where AI drives 30–50% unemployment: the deflationary mechanics that strain capitalism, the policy toolkit we’re likely to see (UBI, financial repression, CBDCs/stablecoins), and the narrow but real ways Bitcoin can protect individuals’ savings and settlement rights.
An in-depth exploration of how Bitcoin erodes the Federal Reserve’s seigniorage base, shrinks its profit remittances to the Treasury, and weakens policy transmission—not through politics, but through currency competition, savings migration, and settlement on Bitcoin-native rails.
A deep dive into whether large language models can ever run effectively on quantum computers, why the real barriers are data movement and error correction, and how embodied intelligence will actually emerge from a layered, distributed architecture of reflexive on-robot models, edge cognition, and cloud or quantum sidecars. It maps the realistic path to 'disembodied AI'—robots with safe, scalable minds that respect physics and timing constraints.
A no-nonsense tour of what the 2021 Bobrick–Martire paper actually claims, the real constraints hidden in the stress–energy bookkeeping, and a staged engineering plan—from table-top demonstrations to field-shaping prototypes—for turning a mathematical warp shell into something we can measure, iterate, and eventually fly.