i… what in the name of AI-generated imagery is happening here?
GENERATIVE AI
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Flexible AI Technology Strategy for Diverse Product Portfolio
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"I can't tell today if this is going to be bigger or smaller. So our strategy is that we build a technology that fits a wide range of products," @jimkxa in @nikkei
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AI-powered traffic enforcement system generates thousands of fines daily
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ah yes pompe a fric facile et y'a lême des endroits où les 4 voies sont réservées. Je pense qu'il vont aussi utiliser l'IA pour mettre les PV… 54 000 pour l'instant et la journée n'est pas finie
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AI Model Copyright Issues and Legal Challenges Ahead
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oki they will have some copyrights problems
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Eureka Labs: AI-Native School with LLM101n Course
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⚡️ Excited to share that I am starting an AI+Education company called Eureka Labs. The announcement: — We are Eureka Labs and we are building a new kind of school that is AI native. How can we approach an ideal experience for learning something new? For example, in the case of physics one could imagine working through very high quality course materials together with Feynman, who is there to guide you every step of the way. Unfortunately, subject matter experts who are deeply passionate, great at teaching, infinitely patient and fluent in all of the world's languages are also very scarce and cannot personally tutor all 8 billion of us on demand. However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted). Our first product will be the world's obviously best AI course, LLM101n. This is an undergraduate-level class that guides the student through training their own AI, very similar to a smaller version of the AI Teaching Assistant itself. The course materials will be available online, but we also plan to run both digital and physical cohorts of people going through it together. Today, we are heads down building LLM101n, but we look forward to a future where AI is a key technology for increasing human potential. What would you like to learn? — @EurekaLabsAI is the culmination of my passion in both AI and education over ~2 decades. My interest in education took me from YouTube tutorials on Rubik's cubes to starting CS231n at Stanford, to my more recent Zero-to-Hero AI series. While my work in AI took me from academic research at Stanford to real-world products at Tesla and AGI research at OpenAI. All of my work combining the two so far has only been part-time, as side quests to my "real job", so I am quite excited to dive in and build something great, professionally and full-time. It's still early days but I wanted to announce the company so that I can build publicly instead of keeping a secret that isn't. Outbound links with a bit more info in the reply!
→ View original post on X — @eurekalabsai, 2024-07-16 17:25 UTC
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Grok gives same answer for different question order
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Grok gives the same answer for the prompt I used — the question order is different in your screenshot: https://
x.com/i/grok/share/P
fRS7EFfLZat1XLNGusvtWNIC
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Model Architectures Discussion on Latent Space Podcast
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I also went on a podcast recently @latentspacepod with @swyx and talked about a bunch of stuff related to model architectures. Check it out here:
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Model Architecture Deep Dive: Encoders and Prefix Language Models
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Blogpost link: https://
yitay.net/blog/model-arc
hitecture-blogpost-encoders-prefixlm-denoising
… Im gonna write a part 2 and beyond on other topics. I'm interested to know what people find interesting or are dying to know more about. -

Model Architectures in the LLM Era: Transformers and Beyond
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Decided to start a new blog series about model architectures in the era of LLMs. Here's part 1 on broader architectures like Transformer Encoders/Encoder-Decoders, PrefixLM and denoising objectives. A frequently asked question: "The people who worked on language and NLP
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Oncyber V2 Makes Internet Fun Again with Creative Tools
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A couple weeks ago, @rayan_oncyber gave me a demo of oncyber v2.
— Packy McCormick (@packyM) 16 juillet 2024
I asked him to use it make me my own Yamauchi No. 10. He did, and added Snake.
Slop and optimization may be the death of the current internet. Good.
We can make the internet fun again. pic.twitter.com/B0wrrjH6QSA couple weeks ago, @rayan_oncyber gave me a demo of oncyber v2. I asked him to use it make me my own Yamauchi No. 10. He did, and added Snake. Slop and optimization may be the death of the current internet. Good. We can make the internet fun again.
