What is the need of 192GB?
I often execute calculations on a cluster where I'll need some 500-1000 GB of ram. But I have 32 GB in my workstation and I never felt I needed more.
Everything I need to do I can do: I can be having many browser tabs open, several IDEs, compiling and have a game engine open at the same time.
Only times I fill the ram is when I stress test my software for ram usage, but that is to be expected.
Is that so? It would be a bit strange for me that children have no rights. What would prevent child labor or protect them from abusive parents otherwise?
That was true 15 years ago. There are now plenty distributions focused towards new users. And to be fair standard distributions have become very user friendly.
I know plenty developers who run mostly in WSL just for the ease of having Word and such software on the same machine.
What are you voting for if there's no plan? Gut feeling? I like that guy?
How is that acceptable, a person who's not even able to make up a plan is definitely not fit for government.
There's plenty podcasts where university professors explain their discipline.
What I'm saying is that also LLMs grew organically. Machine learning developed organically through the years and LLMs are one of the products of such development.
Machine learning algorithms were absolutely desired and wanted, hundreds of thousands of people worked on developing them. It is a very useful technology. If I may list one very useful development: AlphaFold, for which the 2024 Nobel prize was adjudicated.
Now, whether LLMs are useful in chemistry and biology: kind of. Coming up with the design of a bacteriophage is not the first use which would come to my mind. Of course LLMs are being tested for their applications in such domains, but results are in general worse than dedicated models. One area in which I see value is the use of agents in orchestrating tools and analyzing results. Not really in producing new things on their own.
I come from a chemistry background. Chemistry is one of the first field in which machine learning was first applied. In fact many of the first algorithms and models have been developed by chemists.
This has been a gradual adoption throughout the past 50 years.
How is this different from your description of the internet history? If anything, internet was much faster than that: it took less than 50 years from the first computer to the invention of internet.
And I'm not even considering the first developments in machine learning, which happened pretty much as soon as computing machines were invented.
I did not read the full article since it is paywalled.
But well, nobody asked for the internet either.
Fair, I guess I'd also want some ram if I did not have access to a compute cluster.
But to be fair, for what I do I don't really think you can fit that much ram on a consumer motherboard.
In machine learning I don't generally find memory to be the bottleneck, as long as the GPU can handle it.
But sure, opening huge files can be big trouble.