chaostron learning machines

see also: Latency Budget · Platform Risk

scene cut

A 1961 paper on learning machines resurfaced, reminding readers how early the field’s ideas appeared (source). It puts modern momentum in longer context.

signal braid

• Old research frames current debates.
• The field cycles through familiar ideas.
• Historical context reduces hype distortion.
• The long view aligns with Claude Shannon Foundations of Communication.

single-line take

What looks new is often an old idea with faster hardware.

link hop

This links to Claude Shannon Foundations of Communication and Whisper Open Source Speech Recognition and Dall-E 2.

open loop

Which old papers deserve a fresh read right now?