CEO @entolabs, using #AI to lower carbon footprint of buildings at scale. Previous co-founder @wiseio acquired by @GE_Digital, ML/astronomy research @UCBerkeley
Nvidia $NVDA just released a statement regarding DeepSeek:
"DeepSeek is an excellent AI advancement and a perfect example of Test Time Scaling. DeepSeek’s work illustrates how new models can be created using that technique, leveraging widely-available models and compute that is fully export control compliant. Inference requires significant numbers of NVIDIA GPUs and high-performance networking. We now have three scaling laws: pre-training and post-training, which continue, and new test-time scaling."
Hey, ChatGPT-4:
stage 1. Decide on 16 random things: concepts, things, people, works of art, etc. make them as different as possible. Make them uncommon things
stage 2: set up a sweet 16 bracket between these things.
stage 3. Decide who wins each matchup in an entertaining way.
@xamat But from what we're seeing, energy waste like this is typically drastically underestimated as most don't analyze their building energy consumption at all.
@MortenDDHansen vi fandt en kæmpe larve da vi flyttede noget jord fra en jord/kompost bunke... Vores søgning siger at det kunne være en næsehornsbille, men kan det passe? Fik desværre kun taget et dårligt billede inden knægten havde gravet den tilbage 😆
@MortenDDHansen Fedt, tak. Kan det være andet eller er det værd at registrere? Vi bor i Ry og kan se på Naturbasen at der ikke er nogle fund. Eller billedet er måske for dårligt? Den havde tydeligt de røde prikker langs siden.