How to control insanely complex stuff in a simple way
summary
A solo builder creates nairaki to generate videos from Markdown with realistic TTS, serving 1 million files a month to 250,000 users, and controls it by instrumenting feedback loops: queue-length autoscaling, AWS deployment policies that roll back on exceptions, and alarms for third‑party failures (a voice‑normalisation library breaks on inputs <3s). The core claim is practical: fast, measurable loops (on‑off, proportional, PID) tame complexity better than grand design or vague examples.
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chapters (14)
- 0:00HOW TO CONTROL INSANELY COMPLEX STUFF IN A SIMPLE WAY
- 3:29WHAT IF THE CAUSE IS IN THE FUTURE FROM THE EFFECT?
- 9:12"THROUGH FEEDBACK, A MECHANISM COULD EMBODY PURPOSE" -WIENER, ROSENBLUTH, BIGELOW
- 13:23FEEDBACK LOOPS ALLOW US TO CONTROL SYSTEMS WITH VERY COMPLEX DYNAMICS STUFF WE DON'T FULLY UNDERSTAND USING SOMETHING MUCH MUCH SIMPLER WITH STUFF THAT FITS INTO OUR HEADS
- 13:55TAKE CORRECTING ACTIONS ON THE DIFFERENCE BETWEEN DESIRED AND ACTUAL PERFORMANCE
- 17:541. RESILIENCE TO EXTERNAL INFLUENCES 2. NON LINEAR 3. HIGHER ORDER DECISION MAKING
- 19:24DOES TDD LEAD TO GOOD DESIGN?
- 20:57WHAT ARE WE CHECKING? THE DIFFICULTY OF WRITING TESTS OR THE COUNT/ FREQUENCY OF PASSING/ FAILING TESTS?
- 23:25SENSOR ACTUATOR COMMUNICATION LOOP FEEDFORWARD
- 27:09A LOOP WITHOUT FEEDBACK IS JUST RUNNING IN CIRCLES!
- 27:26FEEDBACK WITHOUT A CORRECTING ACTION IS JUST BAD NEWS!
- 28:12DYNAMIC SYSTEM WITH ONLY FEEDFORWARD IS CONTROLLED BY ASTROLOGY!
- 33:351. OSCILLATIONS 2. RUNAWAY PROCESSES 3. UNINTENDED COUPLING 4. STICKINESS TO LOCAL OPTIMUMS 5. COST/COMPLEXITY OF MEASURING
- 40:49MAKE SURE TO MEASURE THE RIGHT SIGNAL WATCH OUT FOR SENSOR POISONING WATCH OUT FOR 2ND ORDER EFFECTS MIX FEEDBACK AND FEEDFORWARD SPEED UP LOOPS TO AVOID COMPLEX MATHS
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