Alexandros Katsiferis
@akatsiferis.bsky.social
PhD Fellow at UCPH 🇩🇰 Epidemiology | Statistician | Loves #rstats
Reposted by Alexandros Katsiferis
On the opposite, a race for scale in AI, leads to other power redistribution, as we discussed with @meredithmeredith.bsky.social and @sashamtl.bsky.social
arxiv.org/abs/2409.14160
Bigger models require data and infrastructure that consolidate big actors
Let us actually democratize AI ❤️
3/3
arxiv.org/abs/2409.14160
Bigger models require data and infrastructure that consolidate big actors
Let us actually democratize AI ❤️
3/3
Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
With the growing attention and investment in recent AI approaches such as large language models, the narrative that the larger the AI system the more valuable, powerful and interesting it is is increa...
arxiv.org
December 9, 2024 at 11:58 PM
On the opposite, a race for scale in AI, leads to other power redistribution, as we discussed with @meredithmeredith.bsky.social and @sashamtl.bsky.social
arxiv.org/abs/2409.14160
Bigger models require data and infrastructure that consolidate big actors
Let us actually democratize AI ❤️
3/3
arxiv.org/abs/2409.14160
Bigger models require data and infrastructure that consolidate big actors
Let us actually democratize AI ❤️
3/3
Reposted by Alexandros Katsiferis
The brand new `legendry` package by @teunbrand.bsky.social takes ggplots2 guides to the next level 🤩
teunbrand.github.io/teunbrand_bl...
teunbrand.github.io/teunbrand_bl...
November 22, 2024 at 3:44 AM
The brand new `legendry` package by @teunbrand.bsky.social takes ggplots2 guides to the next level 🤩
teunbrand.github.io/teunbrand_bl...
teunbrand.github.io/teunbrand_bl...
Reposted by Alexandros Katsiferis
It feels that the longer I do statistics, the harder it becomes. I never get an analysis just "right". There is always one more assumption to change or one more term to add to my model.
November 16, 2024 at 12:50 PM
It feels that the longer I do statistics, the harder it becomes. I never get an analysis just "right". There is always one more assumption to change or one more term to add to my model.