Carlos E. Perez
1/n Modularity is essential for any disruptive technology. For years deep learning lacked sufficient remix functionality to quickly customize solutions. Everything had to either be trained from scratch or fine-tuned. The latest innovations are tearing down these restrictions.
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Claire Silver 🌸
A very gm https://t.co/W0Swgk2V1l
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AK
RT @Yamkaz: AUTOMATIC1111でControlnetが利用可能に
(現在、Pose, Scribble, M-LSD, Depth Map, Normal Mapに対応)
https://t.co/RasjD9GvOX https://t.co/cfGx7fzbZP
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Stable Diffusion 🎨 AI Art
Thomas Shelby LORA model #AIArt

#StableDiffusion2 / #StableDiffusion #DreamStudio https://t.co/fWRmrjf90o
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Sam Altman
giving equity to employees is perhaps the key element to making startups work.

it's amazing to me that some countries make this so hard (sometimes totally economically impractical) and then wonder why they don't have more successful startups.
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Gaurav
RT @TheDevinSwan: Unless you’re working on two compatible tasks at the same time—

Multitasking can cause more harm than good to your productivity.
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Ben Tossell
RT @bensbitesdaily: Ben's Picks: your daily dose of AI news ⤵️

1/ ⚠️ The new Bing demo made more mistakes than Google’s Bard

2/ 🤖 AskFred by https://t.co/Ywn0zs86lD is the best-looking AI assistant for meetings yet

3/ 🖼️ AI art opens up unfortunate avenues to abuse women’s rights https://t.co/tUuksDikD1
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Ethan Mollick
US stocks have been a far better very long-run investment than increases in the Dow Jones Index would indicate, since the Dow ignores dividends, cash, etc. This paper shows if properly adjusted since 1929, the Dow would've been worth 1,113,047 instead of 28,538 at the end of 2019 https://t.co/iLRXYBTadP
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