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skdotdan
searching Neon…
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1.
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by
skdotdan
1y ago
Personally, I use LLMs to write code that I would have never bothered writing in the first place. For example, I hate web front-end development. I'm not a web dev, but sometimes it's cool to show visual demos or websites. Without
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skdotdan
1y ago
Not true. VAT does way less economic damage. Tariffs introduce massive distortions in the market.
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skdotdan
2y ago
Edited
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skdotdan
2y ago
As an anecdotal data point, I’m happier than in my early and mid 20s, and I have hope for my 30s.
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skdotdan
2y ago
This is not what hallucination means in the pre-LLM machine learning literature.
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skdotdan
2y ago
It’s used incorrectly. Hallucination has (or used to have) a very specific meaning in machine learning. All hallucinations are errors but not all errors are hallucinations.
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skdotdan
2y ago
What do you mean by “true” RL?
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skdotdan
2y ago
The way I see it hallucination and factual error are particular cases of incorrect answer.
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skdotdan
3y ago
Deepmind tried something similar in 2018 https://deepmind.google/discover/blog/learning-to-write-prog...
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skdotdan
3y ago
Cool! Thanks!
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skdotdan
3y ago
Rust is great, but one thing I’d like to see is an interpreted, dynamic, less strict version of it that could be used for prototyping and gradually typed into compiling Rust code. In other words, a new programming language doing to Rust the
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skdotdan
3y ago
I believe the main Mojo use cases are scenarios in which you'd need dependencies anyway. Code that you can't write in Python due to performance concerns, so you'd need to call C/C++/Rust/CUDA/Triton/e
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skdotdan
3y ago
I'm sure Chapel has its merits, but one of the main selling points of Mojo is the aspiration to be part of the Python ecosystem, and so far I haven't seen any other programming language offering a similar promise, other than Pytho
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skdotdan
3y ago
The term of “hallucination” referred to generative ML models have been used in the literature for years, at least since GANs.L
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skdotdan
3y ago
I graduated in 2019 and studied Prolog in my third year.
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skdotdan
3y ago
Looks great! Rust is the wrong language for developing ML models, but it has a clear potential for being the best one for deploying them.
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skdotdan
3y ago
Aren’t iMessage and FaceTime irrelevant outside from the US? I don’t know a single non-American person who uses them.
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skdotdan
3y ago
Not an expert in East Asian languages, but GPT tokenizers are generally byte-based. Meaning that the basic unit to do the merges is a single byte, not a character.
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skdotdan
3y ago
I’d add that while languages should die, code written in it shouldn’t. So, even if a language is deprecated, we still should be able to run, call and interoperate with all the legacy code that was written in it.
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skdotdan
3y ago
https://huggingface.co/google/flan-ul2 https://huggingface.co/docs/transformers/model_doc/gpt_neox
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skdotdan
4y ago
No one said it was. What some researchers hypothesize is that at the current rate of improvement, it wouldn't be especially unreasonable to expect AGI at GPT-N.
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skdotdan
4y ago
Could you share more details about it? Is your code open source?
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Ask HN: What Happened to Reddit?
176 points
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skdotdan
4y ago
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200 comments
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skdotdan
4y ago
YouTube ads are way more disruptive because they have to interrupt the video you are playing for at least a few seconds.
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skdotdan
4y ago
The moat is network effects, not the hosting service. GitHub is indeed a potential competitor but, again, you are just thinking about the hosting, while Huggingface provides an API compatible with all the uploaded models and datasets. GitHu
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skdotdan
4y ago
I don't think OpenAI is a valid comparison. Huggingface's mission, unlike in the case of OpenAI, is not training models, but being the standard service for sharing them. The vast majority of models and datasets available at the Hu
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Ask HN: How to leverage a constant flow of ideas
2 points
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skdotdan
6y ago
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0 comments
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skdotdan
6y ago
I wonder whether Bezos is feeling envious (in the good sense of the word). Wouldn't it be cool a new Space Race between SpaceX, Blue Origin, and Boeing?
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skdotdan
6y ago
AFAIK they used half-precision (Float16)
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skdotdan
6y ago
Location: Europe, but willing to relocate if required. Remote: If required. Willing to relocate: Yes. Technologies: PyTorch, NLP, deep learning, machine learning, Python, HPC, Unix. Résumé/CV: Please email me. Email: npfc2010@gmail.co
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