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by Flemlo 386 days ago
I believe we are seeing the new car, Internet etc

And we live now in such a fast pace that it feels like Ai should be perfect already and it's of course not.

I also see that an expert can leverage Ai a lot better because you still need to know enough to make good things without.

But Ai progresses very fast and still has achieved things were we have not had any answer than before.

What it can already do is still very aligned of what I assume/expect it from the current hype.

Llama made our ocr 20% better just by using it. I prompted plenty of code snippets and stuff which saved me time and was fun using it. Including python scripts for a small ml pipeline and I normally don't write python.

It's the first tech demo ever which people around me just 'got' after I showed it to them.

It's the first chatbot I have seen which doesn't flake out after my second question.

Chatgpt pushed billions into new computer. Blackwell is the first chip to hit the lower estimation for brain compute performance.

It changed the research field of computer linguistics.

I believe it's fundamental to keep a very close eye on it and trying things out regular otherwise it will over roll us suddenly.

I really enjoy using Claude.

Edit: and eli5 on research paper. That's so so good

1 comments

You're reinforcing the disparity that I'm pointing out in my original reply. My expectations for AI are calibrated by the people selling it. You say "AI progress is very fast" but again, I'm not seeing it. I'm seeing the same things I saw years ago when ChatGPT first came on the scene. If you go back to the hype of those days, they were saying "Things will change so rapidly now that AI is here, we will start seeing exponential gains in what we can accomplish."

They would point to the increasing model sizes and the ability to solve various benchmarks as proof of that exponential rise, but things have really tapered off since then in terms of how rapidly things are changing. I was promised a Ph.D. level researcher. A 20% better result on your OCR is not that. That's not to say it's a good thing and an improvement, but it's not what they are selling.

> Blackwell is the first chip to hit the lower estimation for brain compute performance.

What does that even mean? That's just more hype and marketing.

Nope not marketing. I researched this topic myself. I'm not aware that Nvidia mentioned this.

But hey it seems I can't convince you of my enthusiasm regarding ai. It's fine I still will play around with it often and looking forward to it's progress.

Regarding your researcher: NotebookLM is great and you might need to invest a few hundred bucks to really try out more.

We will see anyway we're it's going

Your enthusiasm for AI is just more hype noise as far as I'm concerned. You say you've "done research" but then don't link it for anyone to look into, adding to the hype. Brain compute performance is not a well-understood topic so saying some product approaches it is pure marketing hype. It's akin to saying the brain is a neural net.