Personalization data is stored locally, on the user’s device 🙂
AI
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HyperWriteAI Launches Gmail-Focused Generative AI Tools Suite
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Have you tried @HyperWriteAI
? We offer a pretty amazing suite of Gmail-focused tools. – generate personalized, contextually-relevant responses
– ghostwriter/copilot-like personalized suggestions as you type
– rephrasing, email improvement, tone adjustment, etc And much more… -
Notion integrates GPT-3 tool with referral waitlist access
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Una de las herramientas que os he enseñado en el vídeo es el GPT-3 que Notion ha integrado en su interfaz. ¡Muy guapa! ¿El problema? Han puesto una waitlist en la que te pueden aupar posiciones si invitas a otra gente… Os dejo mi enlace para que os apuntéis
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AI creativity breakthroughs challenge yesterday’s limitations
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It’s important to remember that just two years ago, people were saying AI could never be creative. Just because AI can’t do something today, doesn’t mean won’t be able to soon. The systems are improving faster than anyone expected. Nothing is off limits.
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Start Known Work Then Test One New Idea
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Depends on how experimental the idea is. Usually you want to start with something you know will work, and then try out one new idea at a time, each time persisting until you understand the results you're seeing fully.
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Functional Definition of Self-Awareness in AI Models
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I'm saying "self-aware" is overloaded in meaning, and the idea is useful in a narrower, functional sense. It's useful to have a word for the model (seeming to) understand what it is, who created it, what its goals are, etc.
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Agreement with ChatGPT on Artificial Intelligence Books Selection
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I heartily agree with ChatGPT on four of these. https://
fivebooks.com/best-books/art
ificial-intelligence-gpt-3/
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Dexterous Manipulation in Real Life Applications
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dexterous manipulation in real life 👀 https://t.co/zOvBfvoeLi
— Yutaro Yamada (@_yutaroyamada) 8 janvier 2023dexterous manipulation in real life
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AI Biology Applications: AlphaFold and Beyond Investment Focus
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Biology is where we've seen some of the wildest and most important applications of AI to date. From AlphaFold to [redacted] to [redacted]… Psyched to keep investing in, and start writing about, this intersection with @ElliotHershberg in 2023.
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Persistence: The Critical Virtue in Machine Learning Engineering
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Perhaps the single most important virtue in ML engineering is persistence. The ML engineering process is one of repeatedly checking & understanding every detail of the system, until it finally goes through a phase transition from "not working at all" to "working shockingly well".