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Their words
And we ended up with a lot of PRs that individually perhaps could have been justified for a hot moment, taken all together, destroyed the architecture of the system. And we actually had to clean up manually, mop it up by hand, by human hand, to get back to an architecture that felt cohesive and coherent.
Related posts
Jason Evanish x.com
Request for product: I want to be able to take @meetgranola transcripts and have an AI read it back to me, so it's like listening to a Zoom recording or audio recording instead of having to read the transcript manually if I really want to understand a call.
meetgranolamanuallytranscripts
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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26 August
12 August
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Their words
Um, and while this generally improves the reliability of the model, uh, people eventually get tired and it's hard to get really, really high reliability with a person that's manually tuning this. And so what would be even better is if the AI system itself can iterate on the scenario in which you want it to have higher reliability where it on its own automatically seeks out places where it needs more data, where it needs more supervision.
2 June
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korrents.com
Explicit signals like follows and subscriptions are as brittle and hard to maintain as manually tuned filter rules.Their words
Following and subscribing are heavyweight signals, and thus suffer from the same problem of manually tuning rules and filters.
22 April
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korrents.com
AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck.Their words
But also LLMs increase the need for these formal proofs because, you know, we're live coding a bunch of stuff. If we have to manually review all of that code, then that will become the bottleneck.
25 March
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Their words
Worse, you realize that the gazillions of unit, snapshot, and e2e tests you had your clankers write are equally untrustworthy. The only thing that's still a reliable measure of "does this work" is manually testing the product.
11 March
5 February
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Usesrcmnd.app
GitHub CLITheir words
Agents are good at using gh (GitHub CLI), so I manually scripted a quick way to spin up a bunch in parallel to triage issues.
13 January
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Their words
Explicit filtering rules (e.g. rules features in many email clients): mostly a failure. It's too much work to set up and then manage these, especially since a given person's preferences will change over time.
21 February 2025
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Their words
Once, humans navigated the web manually. In the future, AI agents will act on our behalf, browsing, clicking, and deciding. This shift marks the end of traditional UI design and accessibility, ushering in a future where agents are the primary users of digital services.
8 December 2023
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