Flemlo

Statistic is not the same as constant equations.

I'm surprised that it's even possible running big models locally.

I agree we will see how this plays out but I hope models might start to become more efficient and it might not matter that much for certain things to run some parts locally.

I could imagine a LLM model with a lot less languages and optimized for one programming language to happen. Like 'generaten your model'

I can maintain basic code no issue but not if it becomes complex or security relevant.

And I have worked in plenty of companies I'm the open source guy in these companies and me or my teams never had the capacity to do so

Just because random people pivot from shit like not, crypto and block chains, the majority of people use AI because it has real benefits.

GenAI just works. People don't need to be pushed using it and continue using it.

OpenAI has 500 Million active users weekly.

Just this week a library got deprecated.

Open source of course.

So what's my response to that deprecating? Maintaining it myself? Nope finding another library.

You always depend on something...

I think 384gb of ram is surprisingly reasonable tbh.

200-300$/month are already 7k in 3 years.

And I do expect some hardware chip based models in a few years like a GPU.

AiPU we're you can replace the hardware ai chip.

We now have wall printers based on UV paint.

3D models can be generated quite well already. Good enough for a sculpture.

It's a no brainer I agree.

What I hate is that I will not pay more than 20-50$ per month for side projects and that gap annoys me.

Did you try Claude to just extract it or to write a python script to do so?

Are you good in math definitions or is this an opinion?

For me a compressed model learning rules through statistics is not statistics anymore.

Physic rules are not statistics.

I type fast.

I don't think I could Mimik a LLM. But I'm prompting fast so that helps

You can actually have dementia without the symptoms if your interconnect is strong.

Like knowing multiple languages/ multiple words for one thing.

The way the input doesn't match the output should imply that it's not just statistics.

As soon as compression happens, optimization happens which can lead to rules/learning of principles which got feed by statistics.

The generic chat agent is for me absolutely a product.

The personal assistant agent too.

They might overlap for me but not for everyone.

Nothing will crash. The big rich companies like Google, Microsoft already need it as part of their product strategy.

But about ai companies, I don't think their faith matters at all to end consumer and I'm pretty sure companies like character.ai do not run red numbers.

Yes if course after all ML and LLM are not made out of brain.

But do I really have to say colloquial?