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gomoboo

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blog.kyleingraham.com

hackernews@kyleingraham.com

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“While aggressive start cycles (>20 cycles per day) could lead to premature failure in the starter system of light- to medium-duty commercial fleet vehicles, modern fuel injection and engine control systems have eliminated any issues associated with drivers of typical light-duty vehicles turning the engine off while stationary for short periods and restarting the vehicles for <10 start events per day.” from https://publications.anl.gov/anlpubs/2015/05/115925.pdf

This paper seems to say that generally they aren’t a problem. I’ve only seen unsubstantiated claims that they are one.

Do these attributes actually help with search engine visibility or do they just make it easier for search engines to keep users from leaving the search page? Honest question here.

I love reading battlefield notes like this for RAG/search systems. Anyone shooting for useful output is going to hit the same pain points but each article like this has a different set of solutions.

I’m leaning on OpenAI for my embedding needs but will be trying llama-server in the future. I stuck with Postgres because it was easy to run it on my Dokku installation. Great to know sqlite is an option there too. My corpus is too small for Postgres to elect to use an index so it’s running the full table scans that sqlite would. For seeding I use a msgpack file and ship that with the code when deploying.

This is my site: https://customelon.com (niche need of tariff and excise information for shipping to The Bahamas)

It’s built with ASP.NET, Postgres/pgvector, and OpenAI embedding/LLMs. Ingestion is via Textract with a lot of chunking helpers to preserve context layered on top.

Again, great article.

How I rein in YouTube on all my browsers:

- prevent autoplaying video

- redirect ‘ youtube.com/shorts/’ to ‘ youtube.com/watch?v=’

The second gets rid of the addictive Shorts UI. I don’t block them entirely because channels I subscribe to create interesting shorts.

That Workday description reads like the resumes one writes when desperate and the job search has expanded into totally unrelated professions.

The portion of the article the previous “17x” title referenced:

“In a presentation earlier this month, the venture-capital firm Sequoia estimated that the AI industry spent $50 billion on the Nvidia chips used to train advanced AI models last year, but brought in only $3 billion in revenue.”

I’m running a scraper for Dune movie tickets on mine. Before that I didn’t really have anything to do on it besides learning about Proxmox, VMs, networking, and cloud-init. Maybe try to run something you’d usually spin up a VPS for.

I put this together during a long job search: https://tintalize.co/

For a given photo of a person, it will provide you with lip cosmetics that match those the person is wearing. My wife gave me the idea saying it would be cool to match what celebrities are wearing.

It definitely helped landing a job. My interviewer said it impressed him and that he had shared it around the company. Everyone called me the lipstick guy for a bit after joining. During the interview it helped to have a non-trivial software project to discuss.

Its only relation to my job is that it’s a Python web app based on Django. I don’t touch any of the computer vision aspects in my day to day.

Now that I’m in a position to hire I put a lot of weight on deployed and working projects. There’s no better way (outside verified career experience) to show you can back up your skill claims.

P.S. I built this years ago so wouldn’t be surprised if it has load-bearing issues. This blog post describes how it looks and works: https://blog.kyleingraham.com/2018/11/28/lip-colour-finder/

Where do you get the notion that D's leadership no longer see it as a systems language? Some of D's proposed features have been blocked to protect its use as a systems language e.g. @safe by default.

Also are NativeAOT and GraalVM replacements for a language like D when they limit access to their respective languages' library ecosystems?

I think comparison to Python is a plus. Python is loved because of its flexibility and ease of use. One of D's strengths is the degree of flexibility and ease of use it maintains while offering much greater performance than Python.

I do agree that language improvements can be slow but I don't believe it is because maintainers are afraid. I believe it is because of the degree to which D involves its wider community in improvements.

Edited for grammar.