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Just tried Nano Banana Pro for generating a cover image for a Vemetric blog post by providing it with another cover image as a reference .. I'm really impressed! the text accuracy & clarity is just incredible
building @snappify_io & @VemetricHQ


RT @inerati: if you have plot armor you can just arrive at the airport right when boarding starts. I will make it, and if I don’t, it will…
third thing https://t.co/jZh799yNH4 / https://t.co/IdaJwZJCXm


RT @jowmc: @marclou After your X handle-change issue, I built a tiny broken-link scanner — and while testing, it surfaced a few broken URLs…
🧑💻 https://t.co/Y30jsaHwz9 $20K/m ⚡️ https://t.co/vatLDmi9UG $17K/m 📈 https://t.co/3EDxln5mdi $16K/m ⭐️ https://t.co/MZc8tG9xWi $8K/m 🧬 https://t.co/SfrVXVtmdA $.5K/m 🍜 https://t.co/r07EpGSYJ2 $0K/m 🧾 https://t.co/7olaOzV8Xd $0/m +18 https://t.co/4zCWHGJp1S


YES. Main reason classic pretraining dominated for so long is just that you don’t have to think so much about the data or what elicits reasoning. It’s "here". (For Sutskever/Patel new podcast)
Pre-training as we know it will end, but you definitely want pre-training (or is it training?).


my The King is Not Dead t-shirt is raising a lot of questions already answered by my The King is Not Dead t-shirt
hiring agentic humans @hud_evals/ https://t.co/Bz6A6SJeB8 | owned @AIHubCentral (1 million users,acq.) ex climate protester🦦 dont do the deferred life plan

“There are more companies than ideas by quite a bit. Compute is large enough such that it's not obvious that you need that much more compute to prove some idea. AlexNet was built on 2 GPUs. The transformer was built on 8 to 64 GPUs. Which would be, what, 2 GPUs of today? You could argue that o1 reasoning was not the most compute heavy thing in the world. For research, you definitely need some amount of compute, but it's far from obvious that you need the absolutely largest amount of compute. If everyone is within the same paradigm, then compute becomes one of the big differentiators.” @ilyasut
Host of @dwarkeshpodcast https://t.co/3SXlu7fy6N https://t.co/4DPAxODFYi https://t.co/hQfIWdM1Un
