yorick

  gdbus call --session --dest com.mitchellh.ghostty --object-path /com/mitchellh/ghostty --method org.gtk.Application.Activate '{}'

We're a software engineering consultancy specialized in generative AI. Small team of senior ML engineers offering remote expertise to startups across US/Europe, solving unique challenges of running generative AI in production.

Looking for ML engineers who are a mix of ML expert, software engineer, researcher, and hacker. You'll work embedded in client projects on: - Converting bleeding-edge open source AI models to production - Building production LLM pipelines from scratch - Improving models on speed, robustness, and performance - Designing custom LLM benchmarks and evaluation - Building and scaling ML infrastructure - Setting up monitoring, tracing, and prompt management

Tech stack: Python, LLMs, AWS/GCP, MLOps tools, Docker, Git, Nix

We value: self-starters, quick learners, strong communication skills, software quality, open source. Role involves engineering, talking to clients and outreach.

Requirements: Strong Python, experience with production LLM systems, cloud platforms, MLOps. Must be EU work eligible and live within 2 hours of Nijmegen, Netherlands. Remote work with occasional meetups.

Benefits: 25 days PTO, home office budget, professional development budget

Apply: https://datakami.com/careers

Recruiters/freelancers/agencies: we're not working with recruiters or considering freelancers or agencies at this time.

Example for 1.5:

https://github.com/googleapis/python-aiplatform/blob/main/ve...

I've used kagi for 6 months and have over 7500 searches with them. It mostly works, but there are a few downsides compared to Google:

- The latency is a lot higher than google, taking over a second to display any results. - The results are often not as relevant, I have to frequently retry my search in Google. - The results for anything local (I'm not in the US) are abysmal. Searching for anything in my city instead only gives me results for the city's history.

Still, I persist in using Kagi, mainly because it's not Google and I want them to succeed. The results are frequently good enough for me to stay with them.

IMHO the evidence points to this being a cultural effect that can be changed with policy.

talks about it at length.

It seems the main things missing for Talon are:

- input emulation, doable via uinput but not great - standard way to query the list of windows and active focus - for dwell-click support, you need to be able to know if the user is moving their mouse or clicking so you can cancel your autoclick

I remember being very surprised when I was signed up to their mailing list after I made an account on my self-hosted instance, and I'm not sure about the ethics (and legality) of collecting these in the first place.

We're a 2 person team doing on-demand research, development and prototyping, specializing in generative AI & LLMs.

Our services include: AI Strategy, custom LLMs, prompt engineering, NLP, dataset vetting

Recently used technologies: langchain, llama-index, python, datasette, llama.cpp, stable diffusion, typescript

Website: https://datakami.nl/

Email: [email protected]

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update: gone now. still pings that it ran. don't forget to hit ctrl-shift-r to bypass your cache.