Either erase my consciousness or give me my money back, you philosophy bastard.
Either erase my consciousness or give me my money back, you philosophy bastard.
Interesting to see the age distribution of cases. Lots of susceptible adults, seems. www.cdc.gov/measles/data...
Interesting to see the age distribution of cases. Lots of susceptible adults, seems. www.cdc.gov/measles/data...
www.chemistryworld.com/opinion/arch...
www.chemistryworld.com/opinion/arch...
papers.ssrn.com/sol3/papers....
papers.ssrn.com/sol3/papers....
In a new visualization, I've added some of the key advances in sequencing during that timeline:
In a new visualization, I've added some of the key advances in sequencing during that timeline:
The drought is over.
Possibly as big as a jet liner. Possibly as large as a football field. Meet 2026 AA.
Blame the Full Moon for the drought.🌕 Expect many more soon.
Dissociating language and thought in large language models
arxiv.org/abs/2301.06627
by @kmahowald.bsky.social @neuranna.bsky.social Idan Blank @nancykanwisher.bsky.social @joshtenenbaum.bsky.social @evfedorenko.bsky.social
Dissociating language and thought in large language models
arxiv.org/abs/2301.06627
by @kmahowald.bsky.social @neuranna.bsky.social Idan Blank @nancykanwisher.bsky.social @joshtenenbaum.bsky.social @evfedorenko.bsky.social
It's allowed scientists to examine not only cells, but bacteria, then viruses, their protein structure, and, eventually, the individual atoms that comprise them.
It's allowed scientists to examine not only cells, but bacteria, then viruses, their protein structure, and, eventually, the individual atoms that comprise them.
theoreticalneuroscience.no/thn36
Manifold analysis has changed our thinking on how cortex works. One of the pioneers of this modelling approach explains.
In the Gemini 1.5 paper (old, I know) they tested ICL by asking the model to translate Kalamang (<200 speakers globally) to English.
With no context, it gives gibberish. With a Kalamang reference, it does really well.
In the Gemini 1.5 paper (old, I know) they tested ICL by asking the model to translate Kalamang (<200 speakers globally) to English.
With no context, it gives gibberish. With a Kalamang reference, it does really well.
It sounds so human-like!
It sounds so human-like!
Read more in #ScienceRobotics: https://scim.ag/3N3bJil