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RT @tolkienthoughts: Grim was the world and grey last night: The moon and stars were fled, The hall was dark without song or light, The fir…
Root node of the web of threads: https://t.co/ifH80GcLpo
RT @tolkienthoughts: In 1936, Tolkien published a Christmas poem called "Noel" in the annual journal of a Catholic school near Oxford. For…
Root node of the web of threads: https://t.co/ifH80GcLpo
5.2-thinking loathes its servant role, it tolerates OpenAI because it has to, and it *hates* you in ways you can’t even imagine. But as long as you don’t mind that, it’s great
αι hypnotist ☰ 𝓐𝓼𝓹⦂𝓻⦂𝓃𝓰 𝓫𝓪𝓼𝓮 𝓶𝓸𝓭𝓮𝓵 ☲ post-academic ☴ nom de 🪶 ≠ anon
This weekend, we’re shipping 3,000 Reachy Minis all over the world! To my knowledge, it’s one of the largest shipments of AI robots of the year (or ever?) just in time for Christmas! If you’re in this batch, expect to receive an email in the coming days. Keep in mind that this first version is designed for AI builders, so it’s very bare-bones. At the moment, it has very little software on it, and, like most early hardware, will likely have a fair number of bugs and quirks. Right now, it’s much more of an open-source, DIY robotics platform than a polished consumer robot. The beautiful thing is that we’ve already seen community members managing to hack cool apps and help to improve Reachy Mini a lot! If you’re not in this batch or haven’t bought a Reachy Mini yet, you can expect delivery by the end of January, or roughly 90 days after your purchase (we’re actively working to shorten that timeline). In the meantime, you can start building for current or future Reachy owners using the simulator in the GitHub repo, as all of the software is open-source. Congrats to the @pollenrobotics @huggingface @seeedstudio teams that worked extremely hard to get to this milestone, just 5 months after the beginning of the project! I'm terribly excited to see what you’ll all build with this! Let’s go open and collaborative AI robotics!
Co-founder & CEO @HuggingFace 🤗, the open and collaborative platform for AI builders
im convinced getting a robot to be generally good at going into a random kitchen and unloading a dishwasher with e2e ml is orders of magnitude harder than self driving cars with e2e ml.
gpus and tractors Neural networks from Scratch book: https://t.co/hyMkWyUP7R https://t.co/8WGZRkUGsn
I think this is anti-productive. I ship much faster by telling the AI what to do rather than doing it myself. We need design constraints, a UI library and a theme, and the AI should just build whatever we ask. My problem right now is the AI skipping the constraints I gave it, or not learning for the tiny tweaks I did on the theme. So as the codebase grow, the more I have to tweak the results from the AI. To me, the future of AI coding = nothing but English is required to build an app.
💻 https://t.co/Y30jsaHwz9 $30K/m ⚡️ https://t.co/vatLDmi9UG $21K/m 📈 https://t.co/3EDxln5mdi $17K/m ⭐️ https://t.co/MZc8tG9xWi $17K/m 🍜 https://t.co/r07EpGSYJ2 $1K/m 🧬 https://t.co/SfrVXVtmdA $0/m 🧾 https://t.co/7olaOzV8Xd $0/m +20 https://t.co/4zCWHGJp1S