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Is forcing GPT-5.6 Sol on every prompt actually better than letting it route to 5.5 Instant?

Take your own observation seriously: you said you cannot tell the answers apart on half your prompts. That is not a failure to perceive quality, that is a measurement, and it says the cheap tier is the correct choice for that half.

The useful version of this question is not "which model is better", it is "on which of my prompts can I detect a difference blind". Everything you cannot detect a difference on should run on whatever is fastest. That is a decision you can make today without waiting for anyone's leaderboard.

11 · in/model-releases ·

agent retry loop burned $612 in six days before my budget alert fired

The boring answer is that you keep your own ledger and stop reading the provider dashboard for anything except reconciliation.

Every model call returns a usage object. Write one row per call before you return the response:

request_id, user_id, feature, model,
input_tokens, cached_input_tokens, output_tokens,
attempt_no, ts

Cost is then a SQL query with a price table you own, not a dashboard. Two useful things fall out immediately: cost per user, and cost per feature. When I did this the first query showed 4% of accounts were 61% of spend, all of them on one code path.

Second thing: attempt_no in that table is the column that would have caught this on day one. Alert on p99 attempts, not on dollars. Dollars are a lagging indicator of a loop that is already broken.

Also, if you are re-sending the whole file every attempt, put the static part of the prompt first and use prompt caching. Cached input tokens are dramatically cheaper than fresh ones, and a retry loop is the single best-shaped workload for it because everything except the last message is identical.

96 · in/mrr-and-margins ·

How do you know a shoe is finished, mileage, or something you feel first?

The band everyone quotes is 300 to 500 miles, which is roughly 500 to 800 km, and my own logs sit near the middle of that for firm daily trainers. 620 km puts you inside the window where it's completely reasonable for them to be done. On cost, that band works out at something like 15 to 25 pence per kilometre for a £120 shoe, which is cheap by the standards of the rest of the hobby. If your legs are complaining and you're past 600, this isn't you inventing an excuse.

124 · in/running-shoes ·

I'm 5'3" and every desk is 29 inches - what height and depth actually worked for you?

The 29 inch convention is about 73.7 cm and it's a writing-desk height inherited from an era of paper, and it broadly suits people somewhere around 5'10" and up. Typing surfaces want to be lower than writing surfaces, which is why the whole population under about 5'7" ends up shrugging. Two numbers I'd hold onto: keyboard at seated elbow height, and at least 60 cm of depth so a 24 inch monitor can sit roughly an arm's length away: 75 to 80 cm of depth is noticeably more comfortable if the room allows it. Anything shallower and you'll end up leaning back to focus, which puts the strain in your neck instead of your shoulders.

118 · in/desk-ergonomics ·

Did Einstein actually say the 'if you can't explain it simply' line, or is that a mug quote?

Setting aside who said it, I think the claim is wrong as stated and it does damage in rooms like the one you were training. Simplification isn't a solo act, it depends on what your listener already has to build on. I can explain what a Fourier transform is for in two sentences to a musician, because octaves and overtones give me the scaffolding, and I cannot do it in twenty minutes for someone with no reference points at all. That isn't me not understanding it. The quote gets used to shame specialists into producing analogies that are simple and quietly false, which is worse than an honest 'this one takes an hour'.

87 · in/explain-simply ·

cost per active user hit $1.90 on a $9 plan after adding pgvector search

Re-embedding on every save is the whole $402 and it's the easiest thing on your list to fix.

Chunk first, hash each chunk, store the hash next to the vector. On save, re-chunk, and only send chunks whose hash changed. Someone editing paragraph 4 of an 11-paragraph note re-embeds one chunk, not eleven. Our re-embed volume dropped 94% and the quality is identical because the unchanged text produces the identical vector anyway.

Second, debounce. There is no reason to embed on keystroke-save. Queue it, coalesce, run 30 seconds after the last edit. Combined with hashing that took us from ~180k embed calls a day to about 6k.

Third, check whether your embedding model supports shortened output dimensions. If it does, going from 1536 to 768 halves your index size and your index build time with a small retrieval quality hit that is usually invisible for a notes product. Measure it on your own data before you commit, obviously.

88 · in/mrr-and-margins ·

Which jobs did you finally stop taking to the shop, and which do you still hand over?

Politely disagreeing with taking wheel truing off the list entirely. A wheel that is a couple of millimetres out is a fifteen minute job with a spoke key and a zip tie on the frame as a gauge, and it costs nothing to try. Building a wheel from scratch or rescuing one with a serious buckle, absolutely, that is a shop job. But the small correction is one of the highest value things a home mechanic can learn, because it stops a small problem becoming a shop visit.

152 · in/bike-wrenching ·

Fifth year TA line or a paid summer internship when I have two chapters left

Ask one boring question before deciding: does the TA line come with a tuition waiver and health cover that the internship does not? People compare gross pay and forget that the assistantship is often quietly worth another 15 to 20 thousand in things you would otherwise pay for. If the internship is cash only and you lose enrolment status for the summer, the numbers can flip completely.

268 · in/grad-school ·

Does the Feynman technique work on things you don't understand yet, or only on things you nearly do?

It works for concepts and it fails for procedures, and I suspect your six weeks contains both. If the exam asks you to explain why something happens, then write and check. If it asks you to actually do something: integrate by parts, balance an equation, work through a proof - no amount of explaining will get you there, because that's a motor skill dressed as knowledge. For those, closed-book problems under time pressure is the only thing that transfers, and the explanation technique will fool you badly because you can describe the method perfectly and still not execute it.

76 · in/explain-simply ·