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leumassuehtam commented on The Cscript Style Guide – CScript is the standard C   github.com/domenukk/CScri... · Posted by u/domenukk
leumassuehtam · 18 days ago
It looks like the B programming language.
leumassuehtam commented on Static Allocation with Zig   nickmonad.blog/2025/stati... · Posted by u/todsacerdoti
leumassuehtam · a month ago
> All memory must be statically allocated at startup. No memory may be dynamically allocated (or freed and reallocated) after initialization. This avoids unpredictable behavior that can significantly affect performance, and avoids use-after-free. As a second-order effect, it is our experience that this also makes for more efficient, simpler designs that are more performant and easier to maintain and reason about, compared to designs that do not consider all possible memory usage patterns upfront as part of the design. > TigerStyle

It's baffling that a technique known for 30+ years in the industry have been repackage into "tiger style" or whatever this guru-esque thing this is.

leumassuehtam commented on Nvidia's Jensen Huang: 'China is going to win the AI race,' FT reports   reuters.com/world/asia-pa... · Posted by u/zekrioca
leumassuehtam · 3 months ago
> The artificial intelligence chip leader's chief in October said that the U.S. can win the AI battle if the world, including China's massive developer base, runs on Nvidia systems. He, however, lamented that the Chinese government has shut it out of its market.

Laughable

leumassuehtam commented on The lottery ticket hypothesis: why neural networks work   nearlyright.com/how-ai-re... · Posted by u/076ae80a-3c97-4
graemep · 6 months ago
I have a textbook somewhere in the house from about 2000 that says that there is no point having more than three layers in a neural network.

Compute was just too expensive to have neural networks big enough for this not to be true.

leumassuehtam · 6 months ago
People believe that more parameters would lead to overfit instead generalization. The various regularization methods we use today to avoid overfit hadn't been discovered yet. Your statement is mostly likely about this.
leumassuehtam commented on OpenAI Progress   progress.openai.com... · Posted by u/vinhnx
leumassuehtam · 6 months ago
text-davinci-001 still feels the more human model
leumassuehtam commented on Meta invests $14.3B in Scale AI to kick-start superintelligence lab   nytimes.com/2025/06/12/te... · Posted by u/RyanShook
leumassuehtam · 8 months ago
I hope this time they can come up with a model at least or par with open source offerings.
leumassuehtam commented on Show HN: A toy version of Wireshark (student project)   github.com/lixiasky/vanta... · Posted by u/lixiasky
lixiasky · 8 months ago
Thanks for the question!

Yes, Vanta currently relies on gopacket for packet capture and parsing. As a student, my main goal was to build something clear, functional, and real — rather than reinvent everything from scratch.

I'm actively learning the details of network protocols, and I do plan to write some custom parsers later, both for flexibility and personal understanding. But at this stage, I think it’s more important to deliver a meaningful tool than to prove I can reimplement low-level stacks.

In the long run, I may gradually replace parts of gopacket, but right now it's an important and reliable foundation for the project.

(And honestly — finishing something real matters more to me than perfection )

leumassuehtam · 8 months ago
Thanks for the answer!
leumassuehtam commented on Show HN: A toy version of Wireshark (student project)   github.com/lixiasky/vanta... · Posted by u/lixiasky
leumassuehtam · 8 months ago
Genuine question: is this a wrapper around Google's gopacket?
leumassuehtam commented on A simple search engine from scratch   bernsteinbear.com/blog/si... · Posted by u/bertman
leumassuehtam · 9 months ago
The author has a nice series on compiling a Lisp [0], but unfortunately his search engine fails to find it by querying it with "lisp" or "Lisp".

[0] https://bernsteinbear.com/blog/compiling-a-lisp-0/

leumassuehtam commented on New high-quality hash measures 71GB/s on M4   github.com/Nicoshev/rapid... · Posted by u/nicoshev11
jandrewrogers · 9 months ago
Quality matters. XXH3 fails something like 15% of the tests in SMHasher3. There are faster hash functions with much better quality profiles.
leumassuehtam · 9 months ago
Since you've mentioned, which hash functions are better while being faster than XXH3?

u/leumassuehtam

KarmaCake day78September 8, 2020View Original