@MKBHD Default opt-in on something this personal is the part that should get more scrutiny than the feature itself. Consent design matters as much as the model behind it.
Been quiet for a week. Designing the ai layer for a talent scheduler i'm building.
Everyone slaps multi-agent on everything now. The harder call was deciding what should NOT be an agent. Pay and scheduling are deterministic rules, so they stay plain code. no llm needed.
Agents for the messy language parts. Plain functions for the math.
Waited out the full 5 hour reset on Claude Code. Resumed the session and it's already sitting at 21% used before I've even opened a file. @ClaudeDevs is that expected or am I missing something?
@pubity That's a model output, not a mission statement. Big difference between "here's what the math says under these assumptions" and "I believe this."
@OpenAI Renaming based on actual use case (frontier, everyday, high-volume) instead of just numbers is honestly clearer for most people who don't track model versions closely.
Four lines to build a filtered list. Python only needs one.
fast = [bpm for bpm in bpms if bpm >= 128]
It still loops, still checks, still collects. Just on a single line.
#Python
Your for loop keeps everything. Even the 120 bpm you'll never use.
One line fixes that:
if bpm >= 128:
Now it only keeps the fast ones. The rest just gets skipped.
#Python
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