This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
Willison's technical posts tend to carry real weight because he ships code and tests his claims rather than speculating. The argument here is about a design choice in LLM application architecture: classification pipelines versus generative ones, with implications for cost, latency, and failure modes. Worth a read if you're deciding between a classifier and a prompt-based approach in production.
An interesting architectural bet, treating financial forecasting as token generation rather than a separate regression head, with modest but real Sharpe gains in backtest. Quant teams experimenting with LLM-native financial models should note the approach, but backtested Sharpe improvements on ETF allocation are a long way from live trading validation.