Poke
@mander.xyz
Poke
I mean, there is no smoke without fire right? It’s literally impossible that all of those people say this and there is no truth behind it even if just 50%, right? I don’t know anything about it, so I’m not accusing him of anything but you have to admit it’s weird! Why would people say this if it’s not true. And don’t tell me the « experts » are saying it’s not true, they are all biased with a vested interest… unlike all those random ass people saying he is a pedo. Really makes you wonder, but I’m not an expert so I’m not directly accusing him, I’m just asking the question because I’m a coward…
I always feel like research on coffee is inherently biased since 99% of scientists I know are hooked on coffee :p
I have no idea how use mastodon effectively :/. Lenny has the advantage of article + discussion so there is a topic to follow. Mastodon/Twitter has always been too chaotic for me. Any advice on how to make it worth it and not just a massive mess x)?
Rocky Linux, AlmaLinux, and Oracle Linux for example.
Also you don’t usually get a Nobel at the beginning of your career?
Sur YouTube, micode peut être intéressant pour toi :)?
https://pubpeer.com/ mentionned in the article is an interesting website that I will check out. However, peer review is supposed to be done by experts so I’m not sure how this website ensure that :).
I also found https://openreview.net/about interesting as a concept. Although it is a bit nerve wracking to have reviews public.
I also thought it was your instance because you are so active, and, at that point I’m really enjoying the content you are posting. If you end up creating your own instance dedicated to science, with moderation for the anti-science harmful stuff I will follow you there! Just let me know
That’s fair, it’s the same reason I’m not making an instance also: time and money (we’ll mainly time). If you end up moving and trying to rebuild it somewhere just let me know!
I would advise not training your own model but instead use tools like langchain and chroma, in combination with a open model like gpt4all or falcon :).
So in general explore langchain!
I think it’s nothing particularly weird, I’ve always assumed that there are spores in the soil and it happens when it gets a bit too much water, no? I don’t think they need to worry :)
Money and freedom is quite nice :)
That tweet thread is making me so mad. It’s so lazy of the people to want to debate without having to do any serious due diligence on a topic. This one and climate change are the worst offenders
Thanks for sharing this article it’s very interesting! This looks like what I’m trying to create in my lab but much nicer honestly. I have been having discussion with my students at the start of their stay but I think I will try to emulate the frame that the author used because it’s much more efficient than what I am doing today!
Thanks! I know what to google now!
I joined this instance for the STEM topics actually :). I love that there are natural science too! For me it would be the perfect mix to have both.
The only thing about STEM is that I would really like to keep it academic focused :). More about the SOTA in AI and stuff, and less about how Elon Musk did something stupid again. There is already a technology community on beehaw for that ;)
True! My gf is a chemist and said that there used to be that saying that if you hadn’t had your Nobel by 35 then you failed :S
I read that paper and it’s really really incredible. The results are super impressive.
In the study, physicians found more inaccuracies and irrelevant information in answers provided by Google’s Med-PaLM and Med-PalM 2 than those of other doctors.
It’s a bit like every other use of AI IMO: the challenge is to make people understand that it’s a fancy information retrieval system and thus it is flowed and not to be blindly trusted. There was study on the use of professional settings that showed that model such as ChatGPT helped low performers much more than high performers (which had barely any improvement thanks to the model). If this model is used to help less competent doctors (without judgement, they could be beginning their careers) while maintaining a certain degree of doubt, then that could be very good.
However, the ramification of a wrong diagnosis from the AI is quite scary, especially considering that AI tend to repeat the biais of their training dataset, and even curated data is not exempt from biais
thanks for using Leebra!
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