@demitau.bsky.social
Young PI in computational neuroscience, located in Paris, France
Twitter is full of toxic right US politics posts, this place is full of toxic left US politics posts. How is it better?
December 21, 2024 at 12:03 AM
Twitter is full of toxic right US politics posts, this place is full of toxic left US politics posts. How is it better?
Reposted
There's so many ML tools coming out that purport to increase your productivity, but what should you actually pay attention to? Here's my roundup www.neuroai.science/p/ml-tools-f...
ML tools for neuroscientists
Which tools should you be using?
www.neuroai.science
December 17, 2024 at 3:22 PM
There's so many ML tools coming out that purport to increase your productivity, but what should you actually pay attention to? Here's my roundup www.neuroai.science/p/ml-tools-f...
Reposted
‼️"o1-preview demonstrates superhuman performance in differential diagnosis, diagnostic clinical reasoning, and management reasoning, superior in multiple domains compared to prior model generations and human physicians."
And this is using vignettes, not multiple choice. arxiv.org/pdf/2412.10849
And this is using vignettes, not multiple choice. arxiv.org/pdf/2412.10849
December 17, 2024 at 5:52 PM
‼️"o1-preview demonstrates superhuman performance in differential diagnosis, diagnostic clinical reasoning, and management reasoning, superior in multiple domains compared to prior model generations and human physicians."
And this is using vignettes, not multiple choice. arxiv.org/pdf/2412.10849
And this is using vignettes, not multiple choice. arxiv.org/pdf/2412.10849
Reposted
Researchers used AI to generate 288 complete academic finance papers predicting stock returns, complete with plausible theoretical frameworks & citations. Each paper looks and reads as legit.
They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
December 18, 2024 at 3:59 PM
Researchers used AI to generate 288 complete academic finance papers predicting stock returns, complete with plausible theoretical frameworks & citations. Each paper looks and reads as legit.
They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.
They did this to show how easy it now is to mass produce "credible" research. Academia isn't ready.