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cl42
searching PlanetScale…
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6 ms
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61.
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by
cl42
10mo ago
> Background Tasks. Amazing. If this means no more management of Celery workers, then I am so happy! So nice to have this directly built _into_ Django, especially for very simple task scheduling.
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cl42
11mo ago
That’s awesome, thanks!
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cl42
11mo ago
Do you ever pair trade or hedge your shorts by buying indices? For example, short the quantum stocks but buy NASDAQ index (or call options) in case everything keeps going up?
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cl42
11mo ago
This Yann LeCun lecture is a nice summary of the conceptual model behind JEPA (+ why he isn't a fan of autoregressive LLMs): https://www.youtube.com/watch?v=yUmDRxV0krg
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cl42
11mo ago
> There is another thing called world models that involves predicting the state of something after some action. But this is a very very limited area of research. My understanding of this is that there just isn't much data of action-
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Fei-Fei Li's World Labs speeds up the world model race with Marble
(techcrunch.com)
2 points
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cl42
11mo ago
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0 comments
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cl42
11mo ago
Thanks for doing this. The song is beautiful and I highly recommend folks listen to it on Spotify/Youtube/whatever.
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cl42
1y ago
Fair point, and I should be more clear. The AI researchers I speak with don't expect AGI and are more reasonable in trying to build good tech rather than promising the world. My point was that these AI researchers aren't the ones
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cl42
1y ago
Great points. I am bullish on AI but also wary of accounting practices. Tom says Nvidia's financials are different from Lucent's but that doesn't mean we shouldn't be wary. The Economist has a great discussion on depreci
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cl42
1y ago
Not sure why you're getting downvoted. If you speak with AI researchers, they all seem reasonable in their expectations. ... but I work with non-technical business people across industries and their expectations are NOT reasonable. The
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cl42
1y ago
Former management consultant here from a long, long time ago. It blows my mind when I see the consultancies cheer how they are adopting Gen AI to automate deck building, Excel analysis, etc. ... like, don't you see that your clients
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cl42
1y ago
Thank you! That definitely sounds interesting.
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Thank HN: Rainbows End
7 points
by
cl42
1y ago
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2 comments
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cl42
1y ago
A few years ago I went to a military museum in Vietnam, where they have a lot of equipment used by the US military on display -- helicopters, planes, guns, etc. What surprised me is how the equipment had labels around where to open things t
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Andrew Ng says bottleneck in AI startups isn't coding – it's product management
(businessinsider.com)
120 points
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cl42
1y ago
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146 comments
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Cursor's Popularity Has Come at a Cost. GPT-5 May Have Arrived at the Right Time
(newcomer.co)
2 points
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cl42
1y ago
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0 comments
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cl42
1y ago
In the spirit of July 4, John Lewis Gaddis explores a similar theme in "On Grand Strategy". This is one of my favourite explorations, where he compares Abraham Lincoln and John Quincy Adams: > Compare Lincoln’s life with that o
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cl42
1y ago
I was going to recommend a thorough study of "Seeing Like a State" by James C. Scott until I saw your </satire> tag. You got me. :)
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cl42
1y ago
I search through them via text-based/exact matches. I also try to review the notes every once in a while + do use tagging. I'd love to add an LLM layer onto this at some point but haven't done that yet.
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cl42
1y ago
Does Zettelkasten count? I started using a more formal approach to note-taking and idea review and it's been fantastic in helping me generate ideas, hypotheses, topics to write essays on, and so on. It requires a bit of rigour but it&#
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cl42
2y ago
"The Power Broker: Robert Moses and the Fall of New York" by Robert Caro This is an incredibly long biography of a man who figured out how to build an urban empire. While he wasn't an "entrepreneur" per se, he figur
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AI Engineer Reading List
(latent.space)
4 points
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cl42
2y ago
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1 comments
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cl42
2y ago
Gotcha, thanks! Updated.
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cl42
2y ago
Thank for the feedback! :) I included “No” because that’s the paper’s conclusion. Hoping to save people the effort of reading.
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cl42
2y ago
I've been skeptical about the "time series" LLMs papers from earlier, so this is interesting to see. Curious if others disagree with this paper!
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Are Language Models Actually Useful for Time Series Forecasting?
(arxiv.org)
7 points
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cl42
2y ago
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7 comments
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cl42
2y ago
I wonder about this regularly and think back to discussions on this topic back in 2020-2021. Are there more recent studies or research on this topic you'd recommend?
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cl42
2y ago
This is very interesting. The study it's reporting on has all the numerical data here, which speaks volumes: https://www.oecd.org/en/publications/2024/12/do-adults-have-...
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cl42
2y ago
Fantastic list, thank you!
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cl42
2y ago
I go back and forth on paying for it. I tend to subscribe for a few months, cancel, and restart. I imagine there's not many such analysts because the quality of writing is so high but... I wish there were more! :)
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