yorick
Joined 15 years ago
Karma
109
Submissions
34
Member since
Oct 14
[ my public key: https://keybase.io/yorickvp; my proof: https://keybase.io/yorickvp/sigs/2lvZw__uPfqQS8SKk57rGbor-UHkYNDV83P5sWoqVoo ]
View on Hacker NewsRecent submissions
Comment · 5 days ago
I've been working around it by setting my keybind to
gdbus call --session --dest com.mitchellh.ghostty --object-path /com/mitchellh/ghostty --method org.gtk.Application.Activate '{}'
Comment · 1 year ago
Datakami | ML Engineer | Netherlands (within 2hrs of Nijmegen) | Remote (NL, DE, BE) | No visa sponsorship | https://datakami.com
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.
Comment · 1 year ago
It looks like you can use the gemma tokenizer to count tokens up to at least the 1.5 models. The docs claim that there's a local compute_tokens function in google-genai, but it looks like it just does an API call.
Example for 1.5:
https://github.com/googleapis/python-aiplatform/blob/main/ve...
Comment · 2 years ago
To provide some counterweight to all the overwhelmingly positive reviews:
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.
Comment · 2 years ago
Other comment: https://news.ycombinator.com/item?id=41813058
Comment · 2 years ago
To passively radiate a gigawatt of heat in space at 100C, you'd need a radiator with a (visible) surface area of 1 million square meters.
Comment · 2 years ago
It uses the 60ghz radar from https://vayyar.com/ . I'm not sure how or if it works, I haven't tried it myself. They also sell dev kits: https://walabot.com/products/walabot-developer-pack-new
Comment · 2 years ago
2.4ghz isn't great at detecting small obstacles like wires. There's a smartphone mounted device that can do this with 60ghz: https://walabot.com/
Comment · 2 years ago
This should be possible, it already exists for Google Photos: https://www.stg-uploader.xyz/
Comment · 2 years ago
More about this on wikipedia: https://en.wikipedia.org/wiki/Variability_hypothesis
IMHO the evidence points to this being a cultural effect that can be changed with policy.
Comment · 2 years ago
Adding `busybox` and `bashInteractive` to the container contents gives you enough of a comfortable environment to work in without losing too much space.
Comment · 3 years ago
note: ipv6 is 128 bits, which should, in fact, be enough for everybody
Comment · 3 years ago
I'm not sure that the answers that the model provides have anything to do with what it's actually doing.
The way they seem to be prompting it also exhibits this issue, where they first have it arrive at a conclusion and then come up with an explanation for this conclusion. LLMs do not have an inner voice to reason with, and tokens generated later do not influence earlier tokens (unless you're doing beam search, but you mostly aren't). It would be much improved if asked to do reasoning first and then arrive at a conclusion.
Comment · 3 years ago
Same issue on sway + nvidia, it can be worked around by disabling wayland support for electron apps. Not ideal.
Comment · 3 years ago
https://artemis.sh/2022/09/18/wayland-from-an-x-apologist.ht...
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