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nojs
searching PlanetScale…
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16 ms
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241.
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nojs
1y ago
This does not contradict the article - it may be true, and yet not significantly more productive, because of the increased review burden.
242.
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nojs
1y ago
I’m surprised this article didn’t mention the LPC code [1] 1. https://youtu.be/jPhXVrp0_oI
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nojs
1y ago
Haha, he’s renamed it from “shit” to “repository” which makes the comments less funny
244.
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nojs
1y ago
For people using these, is there an advantage to having the agent create PRs and reviewing these versus just iterating with Cursor/Claude Code locally before committing? It seems like additional bureaucracy and process when you could f
245.
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nojs
1y ago
> I think the only productive use of time during those gaps is meditation Check out several copies of the repo and work on different branches concurrently.
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nojs
1y ago
> The only real thing I'm missing is the diff view across files You can commit checkpoints prior to each major prompt and use any IDE’s builtin visual diff versus last commit. Then just rebase when the task is done
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nojs
1y ago
It’s more of a ticking time bomb because it relies so heavily on upstream model providers who all have competing products, particularly Claude Code.
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nojs
1y ago
> over half of the eggs broke when dropped vertically from an 8-millimeter (31-inch) height Something went wrong with the units I think
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nojs
1y ago
> it's that the thought that went into making the prompt is, inevitably, more interesting/original/human than the output the LLM generates afterwards I think you are overestimating the people who submit this slop. It’s mor
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nojs
1y ago
That’s what they’re evidently trying to do, but it means they’re moving too slow and the AI integration feels like a bolted on afterthought (hence the reaction to failed features like this). I am a lifetime user of PyCharm but the reality i
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nojs
1y ago
They’re in a difficult position because half their users want more AI but the other half complain loudly when it’s forced on them. Cursor is beating them because they can deeply embed AI everywhere without worrying about this.
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nojs
1y ago
This works well but only if you eyeball the tests and edit them a bit in my experience. Otherwise it gets lazy and makes them trivial to pass. Also, you’ve often gotta explicitly tell it not to hardcode test cases in the solution to make th
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nojs
1y ago
The fact that there is a real “Marathon Valley” on Mars makes this feel like more of an artificial “boy’s mother” trick designed specifically to trip up the model. It seems reasonable to assume that’s what you meant.
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nojs
1y ago
I think the author is missing the point of why these forecasts put so much weight on software engineering skills. It’s not because it’s a good measure of AGI in itself, it’s because it directly impacts the pace of further AI research, which
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nojs
1y ago
This is so good. Reminds me of The Office. I love how bad the other examples are.
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nojs
1y ago
Claude
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nojs
1y ago
Incidentally what is the best way to cursify jetbrains at the moment?
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nojs
2y ago
https://xkcd.com/927/
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nojs
2y ago
Funny that it literally begins with “Follow @index@simone.org via your Fediverse account (like Mastodon, Pixelfed, Flipboard, Wordpress, Writefreely, Threads, or BlueSky.)” Or is that just helpfully letting us know of something related that
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nojs
2y ago
> People’s names are all mapped in Unicode code points Curious how the author recommends we avoid this one
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nojs
2y ago
> Hallucinated methods are such a tiny roadblock that when people complain about them I assume they’ve spent minimal time learning how to effectively use these systems—they dropped them at the first hurdle. If you’re writing code in Pyth
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nojs
2y ago
*the fountainhead
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nojs
2y ago
I used to do it every morning in a cold city (water was around 10°C) and it made me feel less cold throughout the day, not more. That was one of the more obvious effects.
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nojs
2y ago
> I hate it when HN people completely dismiss anecdotes and want research papers for everything. You can point them to this: https://pmc.ncbi.nlm.nih.gov/articles/PMC300808/
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nojs
2y ago
> This piece is nothing but an advertisement for Dan Gilbert. For an outlet that “thanks to our reader-funded model, what we cover isn’t dictated by the algorithms of the tech titans” they did manage to cram a surprising number of ads in
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Effects of two firefighting chemical formulations (2022)
(sciencedirect.com)
2 points
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nojs
2y ago
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0 comments
267.
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nojs
2y ago
This may be of interest: https://amp.abc.net.au/article/103610270
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nojs
2y ago
Time for http-over-whatsapp
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nojs
2y ago
Cool project. Note that you can force structured output now instead of asking for json: https://platform.openai.com/docs/guides/structured-outputs
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nojs
2y ago
Alternatively if he predicted the probability of eruption every day as 0.01%, he’d be a perfect forecaster!
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