iloveoof

5 ms·

1.
by iloveoof 5d ago
Distillation is a great thing for consumers. It improves competition and reduces the massive moats that OpenAI and Anthropic have in compute that would otherwise lead them to be duopolists. It’s also only fair that AIs trained on humanity’s
2.
by iloveoof 28d ago
This is basically a compiler, but we’re moving up a layer of abstraction.
3.
by iloveoof 2mo ago
A “distillation attack” is like a concrete company calling a competitor building a factory with its concrete a “construction attack”
4.
by iloveoof 3mo ago
This article is terrible and I hate that people always bring it up whenever MUMPS is mentioned here. MUMPS is easy to read, understand and maintain when written well. These examples (and the Wikipedia ones) are from code written when hospit
5.
by iloveoof 3mo ago
MUMPS’ bad reputation is totally unearned. Most examples online (the wiki page, the awful Case of the MUMPS article) are examples of MUMPS code from the 60s-70s when storage was a premium and enterprise-size programs had to fit in a handful
6.
by iloveoof 3mo ago
Ahhh! Software engineering!
7.
by iloveoof 3mo ago
I could not agree more with EFF. There’s a difference between training a model and using a model. Training involves copyrighted works but fair use is not just about use of copyrighted works, it’s about whether the use is transformative and
8.
by iloveoof 3mo ago
This tutorial is very bad, and the time estimates are pretty absurd. The explanations are extremely short and I imagine a new Rust dev would not understand what is going on. The Brown tutorial is far better, compare its section on mutables
9.
by iloveoof 3mo ago
> Surely there has to be some number that pushes individual wealth from a net benefit for the country to a net detriment? Surely we are seeing lots of data and examples right now where we can start to come up with that line as a society?
10.
by iloveoof 4mo ago
Also, credit can be frozen and credit cards can be canceled. But the medical record, once stolen, can’t be frozen or canceled, so it’s always valuable
11.
by iloveoof 4mo ago
Universal encryption of PHI at rest is going to be INCREDIBLY painful. Hospitals mostly have onprem, locked down mainframe IRIS systems that host data. If the IRIS data is encrypted at rest then it can’t be compressed which means hospitals
12.
by iloveoof 4mo ago
Software engineering has always worked this way, just not to ICs. “The LLMs produce non-deterministic output and generate code much faster than we can read it, so we can’t seriously expect to effectively review, understand, and approve ev
13.
by iloveoof 4mo ago
I’m not saying this is aligned with FLOSS, FLOSS is a collaboration model. I’m saying the outcome of easier access to knowledge should be celebrated by supporters of FLOSS. Licenses and copyright aren’t good for their own sake, they’re tool
14.
by iloveoof 4mo ago
I don’t know if this author supports OSS but I’ll share this because HN generally is full of people with that mindset. It’s deeply ironic that if you forget about LLMs and look only at the outcome—-we’ve found a way to legally circumvent c
15.
by iloveoof 4mo ago
This is like saying that you should oppose electricity or factories if you don’t want them in your backyard.
16.
by iloveoof 4mo ago
This article would have been fine and a good send-off if the maintainers just said they were moving on to greener pastures. The discussion of the Anthropic job offer and the cult-like praise of them seems out of place, especially the unnece
17.
by iloveoof 6mo ago
Try MUMPS, widely used but little training data online. Probably less than some esolangs
18.
Scaling laws found in large generative medical event models(arxiv.org)
1 points by iloveoof 1y ago|0 comments
19.
by iloveoof 1y ago
Moore’s Law for AI Progress: AI metrics will double every two years whether the AI gets smarter or not.