Personalized multimodal shopping pic.twitter.com/jiMkDCsJv1
— Aravind Srinivas (@AravSrinivas) 26 novembre 2025
Personalized multimodal shopping
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Personalized multimodal shopping pic.twitter.com/jiMkDCsJv1
— Aravind Srinivas (@AravSrinivas) 26 novembre 2025
Personalized multimodal shopping
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No more guessing how clothes will look on you.
— Perplexity (@perplexity_ai) 26 novembre 2025
Select a product, click "Try it on," and create your avatar. pic.twitter.com/2G2mYl4XS3
No more guessing how clothes will look on you. Select a product, click "Try it on," and create your avatar.
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Claude Opus 4.5 claims top 2 spots on web dev arena and top 3 on text arena after Gemini 3 Pro and Grok 4.1 models. Will Grok secure top 2 until the end of the year on text?

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You think you know everything about #ChatGPT? Well no, here are 7 tips that everyone ignores → https://youtu.be/SJTQufPavHY #ChatGPT5 #GPT5 #GPT51

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Memory works even better on Comet: where we can not only pull details from past threads, but also your open tabs and active projects and workspaces (Google Workspace, Gmail, …) – leading to hyper-personalized results.
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We've been testing Memory (short-term and long-term) on Perplexity for a while. The results are great, and we are rolling it out widely. You can ask personalized questions, questions about past chats, and use any model or search mode with personal context (both apps and web). pic.twitter.com/TW8vf2L9D6
— Aravind Srinivas (@AravSrinivas) 26 novembre 2025
We've been testing Memory (short-term and long-term) on Perplexity for a while. The results are great, and we are rolling it out widely. You can ask personalized questions, questions about past chats, and use any model or search mode with personal context (both apps and web).
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among other places on facebook immediately after my deep learning is hitting a wall paper where i laid out the arguments in question, and also for years here on twitter, eg in 2019 on X calling my critique that LLMs lacked world models a “rear-guard action” see my recent

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Wow. Just wow. @ylecun taking credit for my March 2022 argument that scaling would hit a wall and that LLM would not bring us to AGI–after he initially attacked me for saying it and continued to promote them right up until ChatGPT ate has lunch–has to among the most
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which? specific example have been patched, but the general problems i pointed out – like hallucinations and reasoning errors – have not.
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If you'd rather listen to Suno's version of the above than read it (not bad honestly)