LLMs Are Complicated Now
(news.ycombinator.com)
1.
2.
IEEE Rolls Out Large Language Models Virtual Training Course
(spectrum.ieee.org)
3.
Integer Quantization: Deep Dive
(news.ycombinator.com)
4.
GateGPT: 56k tokens per second Transformer (KV cache) on FPGA at 80 MHz
(news.ycombinator.com)
5.
Deficient executive control in transformer attention
(news.ycombinator.com)
6.
Forget FAANG—there’s a new powerhouse acronym for tech stocks in the AI era: MANGO
(feeds.feedburner.com)
7.
AI isn’t an exit strategy for hiring entry-level coders
(feeds.feedburner.com)
8.
Transformers are inherently succinct
(news.ycombinator.com)
9.
The Walmart blueprint: CEO John Furner’s first interview in the top job
(feeds.feedburner.com)
10.
11.
1-Bit Bonsai Image 4B Image Generation for Local Devices
(news.ycombinator.com)
12.
5 hard truths about changing yourself
(feeds.feedburner.com)
13.
Here’s why change is so exhausting, according to neuroscience
(feeds.feedburner.com)
14.
15.
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CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
(news.ycombinator.com)
17.
Show HN: KVBoost – chunk-level KV cache reuse for HuggingFace, 5–48x faster TTFT
(news.ycombinator.com)
18.
Busyness is killing strategic thinking. Here’s how to prevent that from happening
(feeds.feedburner.com)
19.
20.
Understanding the modern cybercrime landscape
(technologyreview.com)
21.
When Fast Fourier Transform Meets Transformer for Image Restoration (2024)
(news.ycombinator.com)
22.
When Fast Fourier Transform Meets Transformer for Image Restoration
(news.ycombinator.com)
23.
AI won’t optimize your company. It will force you to rebuild it
(feeds.feedburner.com)
24.
GenCAD
(news.ycombinator.com)
25.
Autoregressive next token prediction and KV Cache in transformers
(news.ycombinator.com)
26.
Small businesses should be a much bigger part of the ‘AI transformation’ conversation
(feeds.feedburner.com)
27.
After 8 years, I rewrote my open-source PyTorch curvature library
(news.ycombinator.com)
28.
Why change doesn’t really come from the top
(feeds.feedburner.com)
29.