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Anthropic CEO Dario Amodei: “50% of all tech jobs, entry-level lawyers, consultants, and finance professionals will be completely wiped out within 1–5 years.”



Your ChatLGBT ads look incredible but you can't change a single word lol Meanwhile your competitors are split-testing 20 versions of the same creative. Let me help you with these 62 Canva templates. Just AI generate your product photos. Comment "STATIC" 👇 and i’ll dm them to you.


Gen AI works for one-off ads, but is unusable for product catalogs / DPA. Ecom brands have hundreds of SKUs and are spending 50%+ ad spend on DPA. They’re being left behind. Until now. Introducing, Generative Catalogs: redesign your entire product catalog and DPA in minutes.


Gen AI works for one-off ads, but is unusable for product catalogs / DPA. Ecom brands have hundreds of SKUs and are spending 50%+ ad spend on DPA. They’re being left behind. Until now. Introducing, Generative Catalogs: redesign your entire product catalog and DPA in minutes.




Destroying the @InternetArchive's @WayBackMachine would be the equivalent of the burning of the Library of Alexandria - one of the worst losses of knowledge in history. Media giants are now threatening to do this. We can't let this happen. Pass it on.


Introducing Gemini 3.1 Flash TTS 🗣️, our latest text to speech model with scene direction, speaker level specificity, audio tags, more natural + expressive voices, and support for 70 different languages. Available via our new audio playground in AI Studio and in the Gemini API!







Social media tends to frame AI debate into two caricatures: (A) Skeptics who think LLMs are doomed and AI is a bunch of hype. (B) Fanatics who think we have all the ingredients and superintelligence is imminent. But if you read what leading researchers actually say (beyond the headlines), there’s a surprising amount of convergence: 1) The current paradigm is likely sufficient for massive economic and societal impact, even without further research breakthroughs. 2) More research breakthroughs are probably needed to achieve AGI/ASI. (Continual learning and sample efficiency are two examples that researchers commonly point to.) 3) We probably figure them out and get there within 20 years. @demishassabis said maybe in 5-10 years. @fchollet recently said about 5 years. @sama said ASI is possible in a few thousand days. @ylecun said about 10 years. @ilyasut said 5-20 years. @DarioAmodei is the most bullish, saying it's possible in 2 years though he also said it might take longer. None of them are saying ASI is a fantasy, or that it's probably 100+ years away. A lot of the disagreement is in what those breakthroughs will be and how quickly they will come. But all things considered, people in the field agree on a lot more than they disagree on.




We’re rolling out an upgrade designed to help robots reason about the physical world. 🤖 Gemini Robotics-ER 1.6 has significantly better visual and spatial understanding in order to plan and complete more useful tasks. Here’s why this is important 🧵






