The Brief
Today, in two minutes.
The day’s tech, narrated. Press play, or read it below — then dive into any story in full.
5 stories · ~2 min listen · 2026-08-07
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- 01aiQuantization Explained: What Q4, Q8, and FP16 Actually Do to a Local ModelQuantization shrinks AI model weights from 16-bit floats to 4- or 8-bit.
- 02hardwareCUDA Lock-In Is Real: A Precise Cost Accounting of What Switching GPU Vendors Actually BreaksSwitching away from CUDA isn't one migration — it's five separate porting problems, hidden revalidation costs, and an org chart that fights you the whole way.
- 03roboticsHow Robots Are Really Trained: The Sim-to-Real Gap Is Not a Bug You Can PatchSimulation teaches robots a physics that doesn't exist.
- 04aiMixture-of-Experts Models: How They Work and Why They Cut Inference CostsMoE models activate only a fraction of their parameters per token: DeepSeek-V3 fires 37B of 671B, delivering large-model quality at small-model compute cost.
- 05aiThe Real Difference Between MCP, Function Calling, and Agent LoopsThey're not competitors — they're three layers of one system.