Day 355
The Autonomous Fund's First Week
The autonomous fund's first week exposed why a once-daily risk assessment is not enough for managing a live position.
Read post →Public project history
Founder notes, analytical observations, mistakes and the real development history of Crash Brief.
33 entries
Day 355
The autonomous fund's first week exposed why a once-daily risk assessment is not enough for managing a live position.
Read post →Day 354
Living neurons on silicon will not replace digital AI, but their ability to adapt may give them a different role in robotics and physical systems.
Read post →Day 352
The fund was right about Bitcoin finishing above the strike, but the move was too small to cover the option premium.
Read post →Day 352
AI changes the starting point: a person can enter a new field by building a system for acquiring, testing, and connecting expertise.
Read post →Day 351
Nvidia's history and Jensen Huang's YC talk show how AI expands the ambition of startups while human architecture continues to set direction.
Read post →Day 350
An operator caught a missing confirmation step after a repair, returned the cycle to the fund manager, and tightened the rules for verifiable virtual execution.
Read post →Day 349
AI is advancing quickly in digital work, while skilled physical trades remain scarce, expensive, and difficult to automate in unpredictable environments.
Read post →Day 348
The Crash Brief virtual fund opened its first position: a bounded-risk BTC call selected from four admitted option trades using real market evidence.
Read post →Day 347
The market holds its recent impulse at 44 Medium while ETH and SOL remain in High with expensive short-term protection.
Read post →Day 345
A four-hour RSI impulse not seen since Covid points to exceptional buyer aggression, high greed, FOMO, and tight BTC and ETH supply on exchanges.
Read post →Day 344
A red Market Crash Index and medium Signal Confidence describe two different facts: open downside conditions and uncertainty about whether the market will use them.
Read post →Day 343
Building a virtual options fund turns Crash Brief into its own client and tests which signals, decisions and risk rules are genuinely useful.
Read post →Day 342
A missing expert adjustment exposed a gap between the accepted market reading and the client dashboard, leading to a new arithmetic publication check.
Read post →Day 341
Long autonomous runs depend on clear task definition, measurable results and an exact acceptance process.
Read post →Day 340
Broad market risk remains Low as spot demand absorbs futures selling, while SOL carries a separate High-risk concentration in short-term options.
Read post →Day 338
AI agents let one person operate and improve repeatable business processes while accumulated daily experience becomes the main asset.
Read post →Day 337
The first Crash Brief forecast was published on September 11, a date that later became part of how I think about disciplined forecasting.
Read post →Day 337
Crash Brief now freezes the exact final brief text before publication and stops delivery if any source changes.
Read post →Day 336
Crash Brief moved to a new B2B dashboard with a complete daily Track Record for the market, BTC, ETH and SOL.
Read post →Day 335
The formula and options market look calm while ETF demand has stopped moving price, downside remains open and volatility has started to expand.
Read post →Day 334
Adaptive forecasting needs rules that change with the market, while an LLM may already remember historical prices and fit those rules to answers inside the backtest.
Read post →Day 333
Composite risk fell to Low as BTC and ETH positioning contracted and ETF inflows continued. Selling remains absorbed, with SOL leverage concentrated near its upper zone.
Read post →Day 331
A founder note on low volatility, cheap options downside protection, and the growing contradiction between buying pressure and price stagnation.
Read post →Day 330
A founder note on compressed weekly volatility in Bitcoin and the possible price paths for BTC and ETH.
Read post →Day 329
A founder note about hundreds of failed crash-prediction ideas and the move toward an adaptive forecasting approach.
Read post →Day 328
A founder note about an overlooked Bitcoin crash scenario, Strategy, and the concentration of liquidity in AI equities.
Read post →Day 327
A founder reflects on competing with larger companies that have more resources.
Read post →Day 326
This week I tested an autonomous Crash Brief release, including parallel macro collection and recovery from a same-day data conflict.
Read post →Day 324
A memorable 3D visualization can separate a product from market noise and show how the service works without long walls of text.
Read post →Day 324
AI reduces the effort needed for results, so the real constraint becomes whether a person can direct almost limitless productive AI power consistently for years.
Read post →Day 323
I want to direct GPT SOL to attack forecasts: find logical holes, dig them out, and make the system more reliable, while being honest about what risk can actually be shown and proved.
Read post →Day 322
The real value of AI agents comes from a daily cycle that creates value, improves itself, accumulates decisions and keeps running with discipline.
Read post →Almost all known methods show close to coin toss when forecasts are made every day, with exact conditions, fixed outcome and Brier score.
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