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Claude Science

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Re: Claude Science

#61
post #51

Earlier quoted context omitted.

unfortunately no arch based distro support. I'm curious why it's not packaged as a flatpak.

Well, for Arch Linux, there was the unofficial version from the official binary in the AUR already... (Not sure what you mean by 'no arch based distro support').

First party support would be nice since this is not a high-trust in the AUR period, but fair point, I'll probably use it, thank you!

Re: Claude Science

#66
post #44

I built one of the connected tools included in this launch (the Biomni HPC [1]), and I have spent an inordinate amount of my life working on this problem. (I also worked at Anthropic, but not on this product.) As other comments have pointed out, this is for data science – but it's capable of more than making plots and writing papers [2]. It has integrations with many databases and computational tools, including a res…

Can you speak to what makes this different from simply including or configuring various agent skills? Or is it simply the combination of lots of helpful defaults that makes this product useful?

Re: Claude Science

#67
post #16

Big Pharama = Big Budgets. So targeting them with a tailored product is understandable.

pharma is currently in a tailspin and not really spending money. they'd rather outsource everything possible to china or india right now.

Re: Claude Science

#68
post #44

I built one of the connected tools included in this launch (the Biomni HPC [1]), and I have spent an inordinate amount of my life working on this problem. (I also worked at Anthropic, but not on this product.) As other comments have pointed out, this is for data science – but it's capable of more than making plots and writing papers [2]. It has integrations with many databases and computational tools, including a res…

Sounds like the perfect use case for some kind of framework where you have a local LLM (that can run on lower spec hardware) collaborating with the main LLM to optimise latency and all the other niche and legacy use cases ?

Re: Claude Science

#69
When I was doing my phd, around 2 decades ago, I was often going to the library’s compactus to fish for a Phys Rev from the 80s. Back then papers were sparse and expensive. But the quality!

The Higgs boson is 3 papers, 6 authors and 6 pages in total!

At the end of my phd, 30++ pages slop papers were the norm.

Nowadays, well..

The paper by Higgs was one page. The guy probably published less than a hundred pages in his career.

One reason that made me abandon a career was the disgust caused by the publishing frienzy.

And now tokens..

Re: Claude Science

#70
Any other researchers paranoid of using LLMs for fear of them using your data and front running your publications/work?

Or incorporating it in training data and then spitting it out to a competing lab?

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