‘Digital sphinx’ raises questions about connectome models - The Transmitter
‘Digital sphinx’ raises questions about connectome models The Transmitter
Could not retrieve the full article text.
Read on GNews AI neuroscience →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
model
Some things I noticed while LARPing as a grantmaker
Written to a new grantmaker. The first three points are the most important. Focus on opportunities many times your bar. Most value comes from finding/creating projects many times your bar, rather than discriminating between opportunities around your bar. If you find/create a new opportunity to donate $1M at 10x your bar (and cause it to get $1M, which would otherwise be donated to a 1x thing), you generate $9M of value (at your bar). [1] If you cause a $1M at 1.5x opportunity to get funded or a $1M at 0.5x opportunity to not get funded, you generate $500K of value. The former is 18 times as good. You should probably be like I do research to figure out what projects should exist, then make them exist rather than I evaluate the applications that come to me . That said, most great ideas come
v0.20.0
Gemma 4 Effective 2B (E2B) ollama run gemma4:e2b Effective 4B (E4B) ollama run gemma4:e4b 26B (Mixture of Experts model with 4B active parameters) ollama run gemma4:26b 31B (Dense) ollama run gemma4:31b What's Changed docs: update pi docs by @ParthSareen in #15152 mlx: respect tokenizer add_bos_token setting in pipeline by @dhiltgen in #15185 tokenizer: add SentencePiece-style BPE support by @dhiltgen in #15162 Full Changelog : v0.19.0...v0.20.0-rc0
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!