Curious what is the content (tutorial, book, videos,…) that sparked the most Eurekas for you recently and why?
→ View original post on X — @eurekalabsai, 2024-07-17 18:23 UTC
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Curious what is the content (tutorial, book, videos,…) that sparked the most Eurekas for you recently and why?
→ View original post on X — @eurekalabsai, 2024-07-17 18:23 UTC
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In parallel is the challenge (2), of integrating the AI TA with all of that material, and thinking through and designing what the UI/UX of that interaction looks like, of the student, building the projects, with the AI TA in the loop, guiding you along.
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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But basically the primary challenge right now is taking the big project (AI Storyteller) and breaking it up into ~20 concrete, self-contained modules, similar to ngram (then micrograd, etc.), and making it flow. This is a technical challenge, requiring technical work/talent.
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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The ngram repo holds the endpoint of that module – the place the student should get to. A lot is still missing, in particular a writeup of how to get there, a video, and additional materials that help condition the AI TA to get the student to the end goal.
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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I want to organize the course around project modules, each focused on introducing a few concepts. Each project is self-contained, possible to play with and mod, and you can feel accomplished having completed it. (Unfinished) example is the 1st repo ngram: github.com/EurekaLabsAI/ngra…
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC
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Thank you all for overwhelmingly positive response to the announcement (I have ~5000 form responses/emails/etc. to read 😅). But now the real work begins. The first goal is to make LLM101n really great. This is a technical challenge, of 1) building it, and 2) AI TA integration
→ View original post on X — @eurekalabsai, 2024-07-17 17:49 UTC

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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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Hello World! 👋 eurekalabs.ai/
→ View original post on X — @eurekalabsai, 2024-07-16 17:03 UTC