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donkey_brains commented on Self-driving cars begin testing on NYC streets   amny.com/nyc-transit/self... · Posted by u/pkaeding
donkey_brains · a day ago
How did they train the AI to drive like an asshole?
donkey_brains commented on     · Posted by u/tastyface
donkey_brains · a month ago
Are…are we the baddies?

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donkey_brains commented on AWS Lambda Silent Crash – A Platform Failure, Not an Application Bug [pdf]   lyons-den.com/whitepapers... · Posted by u/nonfamous
donkey_brains · a month ago
I didn’t bother to read this incredibly long write up past the introduction. But other commenters are asserting that the author expected their Lambda function to continue executing an async task after returning an HTTP response, despite numerous attempts by AWS staff to explain why that wouldn’t work. If true, that is _hilarious_. Easily one of the best stories of misguided anger/hubris/Dunning-Kruger I’ve ever heard. That’s like expecting a local function to continue executing after a `return` statement. It’s such a simple, basic principle of the platform they were trying to use.

But one thing bothers me…wouldn’t the author have encountered the exact same behavior in Azure? I guess I really will have to read this paper to find out.

donkey_brains commented on Measuring AI Ability to Complete Long Tasks   spectrum.ieee.org/large-l... · Posted by u/pseudolus
donkey_brains · 2 months ago
I’m sure someone more knowledgeable and well-spoken than I will provide a more scathing takedown of this article soon, but even I can laugh at its breathless endorsement of some very dubious claims with no supporting evidence.

“AI might write a decent novel by 2030”? Have you read the absolute dreck they produce today? An LLM will NEVER produce a decent novel, for the same reason it will never independently create a decent game or movie: It can’t read the novel, play the game, or watch the movie, and have an emotional response to it or gauge it’s entertainment value. It has no way to judge if a work of art will have an emotional impact on its audience or dial in the art to enhance that impact or make a statement that resonates with people. Only people can do that.

All in all, this article is unscientific, filled with hand-waving “and then a miracle occurs”, and meaningless graphs that in no way indicate that LLMs will undergo the kind of step change transformation needed to reliably and independently accomplish complex tasks this decade. The study authors themselves give the game away when they use “50% success rate” as the yardstick for an LLM. You know what we call a human with a 50% success rate in the professional world? Fired.

I don’t think it was responsible of IEEE to publish this article and I expect better from the organization.

donkey_brains commented on The uv build back end is now stable   docs.astral.sh/uv/concept... · Posted by u/NeutralForest
donkey_brains · 2 months ago
What a great thing to see on HackerNews this morning. Any day I can replace another tool in my team’s processes with a fast, stable, and secure solution from Astral is a great day. Thanks Astral for all the amazing work you do!
donkey_brains commented on OpenAI charges by the minute, so speed up your audio   george.mand.is/2025/06/op... · Posted by u/georgemandis
donkey_brains · 2 months ago
Hmm…doesn’t this technique effectively make the minute longer, not shorter? Because you can pack more speech into a minute of recording? Seems like making a minute shorter would be counterproductive.

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u/donkey_brains

KarmaCake day7April 26, 2025View Original