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philkuz

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Re:Nvidia to Acquire Hugging Face on Thursday September 03, 2026 @09:43PM (#49559510)
* Tensorrt-LLM * Dynamo
Re:Nvidia to Acquire Hugging Face on Thursday September 03, 2026 @10:40AM (#49550526)
Outdated take. Nvidia now open sources whatever will make them sell more chips. Keeping the backbone of Oss model delivery afloat seems like it would sell more chips.
Composer-2.5 is a good model, grok-4 is not.

Its that simple.

Re:GitHub Copilot Coding Agent on Monday May 19, 2025 @04:37PM (#44034562)
I think that models are gonna commoditize, if they haven't already. The cost of switching over is rather small, especially when you have good evals on what you want done.

Also there's no way you can build a business without providing value in this space. Buyers are not that dumb.

Caveat buried in the abstract is that this beats BERT and non-pretrained Transformers. Looks like GPT style should still be better, but naturally requires a higher computation cost
… and we avoid contagion of all regional banks.
YC isn’t the only set of companies that used Svb, they’re probably representative of the distribution of startups that need banking
We use it at Pixie to easily setup certs for our self hosted users. Amazing tool.
Re:Nighttime Charging of EVs May Overburden the Grid on Wednesday October 19, 2022 @03:15PM (#33266628)
or coordinate them so that doesn’t happen?
if the org has funding and you made a thoughtful contribution, I can’t imagine a better signal for knowing you’d be a good hire
Re:Detecting Monero Miners with Bpftrace on Tuesday February 22, 2022 @07:07PM (#30435701)
That article is very interesting! Looks like a similar approach to: https://sysdig.com/blog/hiding-linux-processes-for-fun-and-p...

I wouldn't feel bad about it. The article provides info for security experts about a potential attack vector that exists. That doesn't change if you unpublish the post.

Keep it up!

Re:Obscure challenges supporting Kubernetes 1.22 in Pixie on Tuesday October 05, 2021 @04:32PM (#28765210)
I'm not quite sure the flavor of your problems, but I imagine some of them were caused be the confusion between v1beta1 and v1 apis. Users would continue to use beta versions of APIs despite the availability of the GA APIs.

Hopefully this becomes easier with the beta lifecycle policy: https://kubernetes.io/blog/2020/08/21/moving-forward-from-be...

Unfortunately this also means you'll see similar issues in the short term.

One way to avoid these might be to opt for only GA k8s APIs for your infra.

I think the machine learning community at Berkeley is pretty cool. Thanks for putting out great work guys!