Hacker News: jessehu

New comment by jessehu in "Show HN: Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in Rust"

jessehu — Thu, 05 Sep 2024 19:04:51 +0000

Awesome launch! Just curious, what does the "run everything locally, send results to a server" approach mean and why do you love it?

New comment by jessehu in "Do you need a vector database?"

jessehu — Thu, 13 Apr 2023 18:27:18 +0000

What’s wrong with Faiss? https://github.com/facebookresearch/faiss

New comment by jessehu in "Show HN: This Word Does Not Exist"

jessehu — Thu, 14 May 2020 04:17:53 +0000

What is the inline metadata trick?

New comment by jessehu in "Y Combinator Top Companies List 2019"

jessehu — Fri, 04 Oct 2019 06:26:40 +0000

Would you mind posting it?

New comment by jessehu in "Show HN: I am a high school student and I did research on 3D adversarial attacks"

jessehu — Fri, 04 Oct 2019 05:58:59 +0000

Nice hustle! How did you decide to start in CS research? Do you attend a math & sciences HS, or have family members in academics? Or perhaps just from reading the internet?

New comment by jessehu in "A closer look at Google Duplex"

jessehu — Wed, 27 Jun 2018 17:45:21 +0000

I’m rather confused why doing this as a consumer product in Assistant makes more sense than an enterprise product. There is so much room for improvement in call centers, and would be a huge market opportunity.

This is hardly even a time saver. What would be helpful is if this is also able to stay on hold for you — probably an easy task.

New comment by jessehu in "Ask HN: Pros and cons of working at a startup in 2018?"

jessehu — Tue, 12 Jun 2018 06:24:06 +0000

After your startup and Google experience, you were hired as an SWE1? Also, curious if the experience of the startup or subsequent integration was perhaps more valuable than the opportunity cost.

New comment by jessehu in "YouTube Music, a new music streaming service, is coming soon"

jessehu — Thu, 17 May 2018 06:19:54 +0000

> Google is so strong with ML today, and not stopping, I don't know what will allow smaller competitors to stay differentiated. I just had a call with a G recruiter, and pretty much 100% of the roles they have in all their European offices are ML-related roles, on most products. And they hire without ML experience, which I think is a sign of how much they are investing in ML.

Weird. I'm having the opposite experience, where I'm not having luck finding an ML team, even with research experience. What teams/products are hiring for ML-related roles without experience?