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paladin314159
searching Neon…
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1.
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A Tale of Two Production Bugs (Part 2)
(ternarysearch.blogspot.com)
1 points
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paladin314159
6mo ago
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0 comments
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A Tale of Two Production Bugs (Part 1)
(ternarysearch.blogspot.com)
2 points
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paladin314159
6mo ago
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0 comments
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Structured Outputs for LLMs
(ternarysearch.blogspot.com)
1 points
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paladin314159
7mo ago
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0 comments
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Distributed Game Servers in KFChess
(ternarysearch.blogspot.com)
2 points
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paladin314159
7mo ago
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0 comments
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Speculative Decoding in LLM Inference
(ternarysearch.blogspot.com)
2 points
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paladin314159
7mo ago
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0 comments
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Triton Language
(ternarysearch.blogspot.com)
2 points
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paladin314159
7mo ago
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Linear Representations and Superposition
(ternarysearch.blogspot.com)
18 points
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paladin314159
7mo ago
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0 comments
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Reflections on Using Claude Code
(ternarysearch.blogspot.com)
2 points
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paladin314159
7mo ago
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0 comments
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Quantization-Aware Distillation
(ternarysearch.blogspot.com)
7 points
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paladin314159
7mo ago
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0 comments
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by
paladin314159
8mo ago
I echo this sentiment. Even though I'm having Claude Code write 100% of the code for a personal project as an experiment, the need for thinking hard is very present. In fact, since I don't need to do low-thinking tasks like writin
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LLM Quantization and NVFP4
(ternarysearch.blogspot.com)
1 points
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paladin314159
8mo ago
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0 comments
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Sparse File LRU Cache
(ternarysearch.blogspot.com)
52 points
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paladin314159
8mo ago
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11 comments
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Observations from Using Claude Code
(ternarysearch.blogspot.com)
1 points
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paladin314159
8mo ago
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0 comments
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by
paladin314159
10mo ago
I've been doing this a fair amount recently, and way I manage it is: first, give the LLM the PDF and ask it to summarize + provide high-level reading points. Then read the paper with that context to verify details, and while doing so,
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Why Sam Altman was booted from OpenAI, according to new testimony
(theverge.com)
52 points
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paladin314159
11mo ago
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12 comments
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Torchcomms: A modern PyTorch communications API
(pytorch.org)
30 points
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paladin314159
11mo ago
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6 comments
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by
paladin314159
1y ago
> I think that, if you gave me the ability to search the pre-contest Internet and a week to prepare my submissions, I would be kind of embarrassed if I didn't get gold, and I'd find the contest to be rather less interesting tha
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by
paladin314159
1y ago
If you need world knowledge, then bigger models. If you need problem-solving, then more reasoning. But the specific nuance of picking nano/mini/main and minimal/low/medium/high comes down to experimentation and what
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by
paladin314159
1y ago
I love it! I'm the one who recreated Kung Fu Chess at kfchess.com. Very impressed at you bringing it to life -- definitely at least 100x harder to do :)
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paladin314159
2y ago
https://www.anthropic.com/news/3-5-models-and-computer-use
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by
paladin314159
2y ago
Dan Boneh is amazing. I took his Cryptography course at Stanford and loved it so much that I ended up having him advise me on my senior thesis. Would highly recommend stuff that he puts out.
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The Fundamental Forces of Scale
(longform.asmartbear.com)
2 points
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paladin314159
3y ago
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0 comments
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by
paladin314159
3y ago
Although I empathize with the struggle of the journey, having gone through a similar path of math team -> Stanford (where I briefly ran into the author), I think this is a particularly uncharitable characterization of math competitions.
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How Jensen Huang's Nvidia is powering the A.I. revolution
(newyorker.com)
149 points
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paladin314159
3y ago
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94 comments
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A Designer's Guide to using AI to turbocharge creativity
(medium.com)
1 points
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paladin314159
3y ago
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0 comments
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Amplitude Analytics, CDP, and Experiment: $49/month
(amplitude.com)
1 points
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paladin314159
3y ago
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0 comments
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Ask Amplitude
(amplitude.com)
1 points
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paladin314159
3y ago
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0 comments
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by
paladin314159
5y ago
We switched from LZ4 to Zstd in almost all of our compression use cases to great effect. Reducing the data on disk or over the network is a huge win with only a minor loss in decompression speed (using the appropriate level of Zstd). E.g. d
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AnalyticDB: Real-Time OLAP Database System at Alibaba Cloud (2019) [pdf]
(vldb.org)
1 points
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paladin314159
5y ago
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0 comments
30.
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by
paladin314159
5y ago
Amplitude | San Francisco, Vancouver | https://amplitude.com We're building the analytics infrastructure for digital products and looking for people passionate about distributed systems, machine learning, dev tooling, and&#
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