Flex_Luther

blue check

[Flex_Luther @FlexLuther11]

@mtracey Our Eras Hunter S Thompson

[Flex_Luther @FlexLuther11]

@Jason I'm in

[Flex_Luther @FlexLuther11]

@teortaxesTex What's a good starting point to look at for a more modern synthesis data generations setup? Interested in this but botnsure where to start.

[Flex_Luther @FlexLuther11]

@iamkelvintiller @GrantStenger Can I get this too my guy?

[Flex_Luther @FlexLuther11]

@NVIDIAGeForce @ID_AA_Carmack @DOOM #DOOM30 + #RTX500 !!!

[Zack Kanter @zackkanter]

one example of why it's so hard to compete w/AWS: we ran into a roadblock implementing new AWS service. already have call scheduled for thurs. to speed things up, engineer emailed on a saturday offering to jump on a call 'any time Monday/Tuesday.'

he's been at Amazon since 1999.

[Philippe Lemoine @phl43]

I listened to Bennett's interview and it's worth listening to the segment about the Ukraine war in full, not just the parts that everyone is talking about. Here is a link to the interview, starting at the beginning of the segment, with English subtitles. https://t.co/bjMx7WlEiq

[François Chollet @fchollet]

New tutorial on https://t.co/m6mT8SaHBD: fine-tuning Stable Diffusion on your own dataset. In this case, by the end of the tutorial you will be able to generate novel Pokemons :)

https://t.co/SIcDEotLwO

Created by @RisingSayak and @algo_diver 👍

[Parth Thakkar @parth007_96]

A while back I'd done some shallow reverse engineering of Copilot

Now I've done a deeper dive into Copilot's internals, built a tool to explore its code, and wrote a blog answering specific questions and pointing out some tidbits.

https://t.co/nX5ilC4ou5

Do read, might be fun!

[Flex_Luther @FlexLuther11]

@elonmusk Please vote "No", think of the content Elon has been providing us these past few weeks.

[Flex_Luther @FlexLuther11]

@robertwiblin Not sure how we would contrast this with popularity of the lottery in most countries.

Maybe gamification overcomes the low prob bias?

[Andrej Karpathy @karpathy]

Stable Diffusion concepts library https://t.co/X2jHPdWp4E textual inversion is amazing - can train a custom word vector (not otherwise reachable by english text) to mean a concept, based on examples. Opens up many possibilities of condensing objects/styles into special tokens 🚀

[Nassim Nicholas Taleb @nntaleb]

Remove Samuelson.
Below are #Lindy to add:

Alexandrov, Kolmogorov et al: Mathematics.

Feller: Probability Theory

Landau and Lipshitz: Course of Th Physics (multivol) ***

Cover and Thomas: Elements of Information Theory

Karatsas and Shreve: Brownian M and Stochastic Calculus

[Flex_Luther @FlexLuther11]

@ByYourLogic I appreciated when they highlighted him jumping over a fence as a party trick.Reminds me of Bill Gates famous chair jump.

[Dr. Émile P. Torres (they/them) @xriskology]

Share share share. My newest for Salon. This is very important: I explain *why* Musk wants Twitter -- no one in the popular press has so far gotten the answer right.

https://t.co/t4x56pYTY0