tuxguy

brilliant ! Would love to see a deep dive on your component design system & copy process.

Here is to more beauty in the world - both physical & digital :)

there is often discordance between radiologists(& doctors in general) when reading the same scan(same case vignette) as well !

awesome honking idea ! please add "spaces" for biorxiv and medrxiv too !

what about openehr [0,1]

it is fairly popular in europe. What is required for federal certification ?

0. https://openehr.org/ 1. https://openehr.org/products_tools/platform/

An optimistic perspective of how despite today's regrettable events, Sama and gdb will start something new and more competition is a good thing : https://x.com/DrJimFan/status/1725916938281627666?s=20

I have a contrarian prediction : Due to pressure from investors and a lawsuit against the openai board, the board will be made to resign and Sama & Greg will return to openai.

Anybody else agree ?

The linked github repo was active yesterday and is now returning a 404.

anybody know why ?

the paper by ben izar et al :

https://www.sciencedirect.com/science/article/abs/pii/S15356...

more info at https://stackoverflow.co/labs/

non-paywall version : https://archive.md/Edw0k

one related quote i really like is : "it takes a lot of knowledge to realize the extent of your own ignorance" :D

comments like these keep make me coming back to hn :) witty comments ftw !

Thanks for this reminder about Pieter Hintjens. I have been greatly influenced by his writing, including his use of Alice & Bob, in "a protocol for dying" ! So witty, so clever - such a tragic loss.

"“I think we’re at the end of the era where it’s gonna be these giant models, and we’ll make them better in other ways,” Altman said.

He sees size as a false measurement of model quality and compares it to the chip speed races we used to see. “I think there’s been way too much focus on parameter count, maybe parameter count will trend up for sure. But this reminds me a lot of the gigahertz race in chips in the 1990s and 2000s, where everybody was trying to point to a big number,” Altman said.

As he points out, today we have much more powerful chips running our iPhones, yet we have no idea for the most part how fast they are, only that they do the job well. “I think it’s important that what we keep the focus on is rapidly increasing capability. And if there’s some reason that parameter count should decrease over time, or we should have multiple models working together, each of which are smaller, we would do that. What we want to deliver to the world is the most capable and useful and safe models. We are not here to jerk ourselves off about parameter count,” he said."

via https://techcrunch.com/2023/04/14/sam-altman-size-of-llms-wo...

loved this, thanks for sharing !

Congratulations team medplum. Sounds really neat !