max weinbach

The market has moved from single-file assistants to agents capable of sweeping multi-file changes and autonomous operation for hours; Meta's Muse Code lags frontier models technically but introduces a 95% discount for training data sharing, pressuring pricing norms set by Cursor, Codex, and Claude Code.

Max describes how agents now handle sweeping changes across hundreds of files using sub-agents, achieving 100x efficiency gains, and predicts fully autonomous building from brief prompts within 9 months.

Max assesses MuseSpark as capable but requiring heavy hand-holding, poor at design, and exhibiting outdated behaviors like fake data generation, placing it behind Claude 5 and GPT-5.2.

Meta offers a 95% API discount for training data sharing, a more flexible approach than OpenAI and Google's limited free tiers, which Max prefers and sees as attractive amid rising competitor prices from DeepSeek.

A new pricing paradigm is emerging where model providers (Meta, OpenAI, Google) offer steep discounts or free tokens in exchange for user training data, creating a two-tier market: subsidized usage on platforms like Cursor vs. direct API pricing with data-sharing options.