Jev: Keep the Power. Cut the Overhead.
Jev turns natural language into choices, scores and probabilities. A practical guide to the model, the harness, the demos—and what it could change for my three-agent setup.
Jev turns natural language into choices, scores and probabilities. A practical guide to the model, the harness, the demos—and what it could change for my three-agent setup.
Day 3 in the gym, a first in the kitchen, and an afternoon with nowhere better to be.
Week two of MONSTER 2.0, a legs day, and the first round number on the scale this block.
Named teammates on a persistent cloud computer. SuperGrok Heavy includes it. How it works, what it costs, and what to hire it for.
Cheap models, a $10–$18 coding lid, and the open-source agent that can run them. What they are, how they plug together, and what you pay.
Week two of MONSTER 2.0 opens on chest, back and abs. Three lifts moved. 101.9 kg. HGH is the only compound that smells.
Two GPT Image 2.5 models, same token rates. Flare is the volume default. Sunburst is the precision one. Pin that when the picture is the product.
Anthropic's proposed TypeScript middleware for Claude Code: how the continuation model works, the proposed API in full, worked examples, and the open questions on availability and cost.
Creatine is the only thing in the glass with strong evidence behind it. Everything else is there to make sure I drink it.
The first full week of the block: 146 sets, 80,786 kg, and exactly two loads that actually went up. The cardio I was supposed to do stayed on the page.
A 14,324 kg leg session shows what tonnage misses: the bodyweight lunges supplied 22% of the reps and none of the recorded load. It was also the first session actually run in daylight — with no sleep data yet, and a second variable started the same day.
A model can get promoted without receiving a single new weight — just a token, a runtime, and permission to spawn workers. Amodei is right that time is worth buying.