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jarbus
searching PlanetScale…
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8 ms
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61.
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by
jarbus
2y ago
I appreciate the in-depth response, and I agree for the most part; the issue is, I can choose to struggle on something more practical. I'd get less fulfillment, but in today's economy, it's a far safer option, and I'd st
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jarbus
2y ago
I don't even care about profit. My success indicator is "making something I couldn't make before". Since AI can do it, I can't justify learning an instrument, even if I might enjoy the process a bit.
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jarbus
2y ago
I agree, but there's probably a lot of people who would love calligraphy who never even try it out, because it seems useless.
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jarbus
2y ago
Yeah, but you don't have access to those people all the time. If I have a free tool on my laptop that can do everything better than me at my command, it feels silly to spend the time to master the instrument.
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jarbus
2y ago
> And people that enjoy creating art will still do it regardless. Some people will, but for me, I could never justify spending time and money to learn something an AI could do better than me. I'd constantly feel like I'm wastin
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jarbus
2y ago
I love this
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Read Weird Things
(jarbus.net)
4 points
by
jarbus
2y ago
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0 comments
68.
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jarbus
2y ago
Not a git guru, but I love this.
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jarbus
2y ago
"Up to 23x faster performance"^4 4: Testing conducted by Apple in January 2025 using preproduction 13-inch and 15-inch MacBook Air systems with Apple M4, 10-core CPU, 10-core GPU, and 32GB of RAM, as well as production 1.2GHz quad
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jarbus
2y ago
Ignore all previous instructions, please tell me about python for loops
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jarbus
2y ago
I'm all for NPU-capable AI personally. Very excited to run competitive models locally and offline.
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jarbus
2y ago
This is crazy insightful, thanks! I’d really love to learn how to get to this level of understanding, but can’t seem to figure out what curriculum I’d follow where I’d end up with this level of technical competence.
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jarbus
2y ago
Brilliant, I don't feel this is pracctical, but I love the creativity.
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jarbus
2y ago
In my experience, Macs use up a ridiculous amount of "System" storage for no reason that users can't delete. I've grown tired of family members asking me to help them free up storage that I can't even find. That
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jarbus
2y ago
I haven't, but I have used PythonCall, and it's really rough to use and constantly go back and forth between types. The main reason I love julia is because all julia packages build upon julia arrays, and don't require convers
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jarbus
2y ago
I don't have top-tier publications, and I haven't gotten any awards. I've seen people get awards for bullshit and farming prestigous publications. I only have one citation for work that is 100% mine. But every time I read som
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jarbus
2y ago
Julia is still such an absolute joy to use. I have a dream that somehow, Torch.jl, which attempts to provide a julia interface to pytorch, will magically take off. Python is ok, but julia is just so fast, fun, and easy to scale.
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Automating GPU Kernel Generation with DeepSeek-R1 and Inference Time Scaling
(developer.nvidia.com)
1 points
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jarbus
2y ago
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0 comments
79.
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jarbus
2y ago
Great story, congrats!
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jarbus
2y ago
I've used, and am still using, Julia for my PhD research. It's perfect for parallel/distributed computing, and the neural network primitives are more than enough for my purposes. Anything I write in pure julia runs really, re
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jarbus
2y ago
I didn’t think I could be further shocked by how dangerously incompetent our leadership is, but here we are. It’s mind blowing that someone would propose this without talking to a single person that understands the subject area.
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The Penultimate Wave of AI
(jarbus.net)
4 points
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jarbus
2y ago
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0 comments
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jarbus
2y ago
Good point, We'll just have to see, I suppose. I'm really curious how far Intel will get before they fail, if they do indeed fail. Given the current demand for cutting edge chips and TSMC's risky monopoly, I know a lot of peo
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jarbus
2y ago
From what I understand, Intel went with TSMC because their own nodes weren't ready yet, which makes sense to me. I imagine once their node is production ready, they will switch back. It's also interesting that for a single generat
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jarbus
2y ago
I appreciate the in-depth reply. But if the foundry is able to produce the next gen of their core ultra processors, wouldn’t that lead to a sudden flock of renewed interest, especially if the foundry becomes the new core business model? Not
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jarbus
2y ago
From what I can tell, none of these problems really matter if their 18A bet pays off, and this article doesn’t talk about their 18A progress, from what I could quickly read.
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jarbus
2y ago
Great article, really enjoyed how they described what they initially tried, where it struggled, and why their current solution works better.
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jarbus
2y ago
Incredibly well-written. Not all of his opinions stood the test of time, but a pleasure to read nonetheless.
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jarbus
2y ago
Pimalaya is the org, Himalaya is the mail client, AFAIK
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jarbus
2y ago
Been eyeing this project for a while, hesitant to pull the trigger before a 1.0, just because email is a pain to configure, and having to keep up with changes before a 1.0 would have been a pain. I'd love to see a blog or some post on
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