@levelsio I would be willing to pay double for a Uber like service that enforces speed limits and traffic laws via its โDriver Appโ - Driver gets striked after braking the speed limit / running red light etc. and after 3 strikes the driver is gone.
Drivers would get payed more obv.
Today is the beginning of our moonshot to solve embodied AGI in the physical world. Iโm so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
The GR00T model will enable a robot to understand multimodal instructions, such as language, video, and demonstration, and perform a variety of useful tasks. We are collaborating with many leading humanoid companies around the world, so that GR00T may transfer across embodiments and help the ecosystem thrive.
GR00T is born on NVIDIAโs deep technology stack. We simulate in Isaac Lab (new app on Omniverse Isaac Sim for humanoid learning), train on OSMO (new compute orchestration system to scale up models), and deploy to Jetson Thor (new edge GPU chip designed to power GR00T).
Announced in Jensen's keynote, Project GR00T is a cornerstone for the โFoundation Agentโ roadmap of the newly founded GEAR Lab. At GEAR, we are building generally capable agents that learn to act skillfully in many worlds, virtual and real. See if you can spot "GEAR" in the video ;)
Join us on the journey to land on the moon.
Today we're excited to introduce Devin, the first AI software engineer.
Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork.
Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser.
When evaluated on the SWE-Bench benchmark, which asks an AI to resolve GitHub issues found in real-world open-source projects, Devin correctly resolves 13.86% of the issues unassisted, far exceeding the previous state-of-the-art model performance of 1.96% unassisted and 4.80% assisted.
Check out what Devin can do in the thread below.
How you can save hours of work when using ChatGPT:
Open a spreadsheet, write your prompt, use the =AI() formula, drag down your cell, and apply it to every cell.
Watch the attached video. This is @NumerousAI. It lets you use ChatGPT as a spreadsheet formula. They are partnering with me on this post.
You can use it to:
โข Generate content based on other cells
โข Summarize, translate, and rewrite
โข Analyze reviews at scale
โข Reformatting and extracting information
โข Enriching existing data
It's as simple as using "=AI()" as a formula in any cell. You can batch-prompt ChatGPT in seconds.
Check it out here: https://t.co/kaS0Oqsa5e.
we taught TypeScript to understand GraphQL queries!
๐ today weโre releasing gql.tada, which infers types for GraphQL docs right in TS as you type them! together with our LSP plugin, this is the smoothest GraphQL client experience yet โจ
Stable Diffusion 100% in the browser with running at < 1s per image โก๏ธ
Thanks to SD Turbo by @AxSauer & al @StabilityAI and diffusers.js on webGPU by @daken_
Demo: https://t.co/m0L3s1LkH8
More info in โ๐งต
we just shipped a starter app for mobile Push Notifications:
๐ https://t.co/4a93iNmv6w
๐ข @bndkt + @thorwebdev
Tech stack:
โ @expo / React Native
โ @deno_land
โ @supabase
works with Android and Apple. the code is incredibly simple with expo:
Here is an open-source library that makes integrating AI into an application extremely easy.
CopilotKit. Star their repository: https://t.co/CGEDOtcB5t
The library has two components:
The first component is CopilotTextarea
โข It's a drop-in replacement for any textarea field in your app
โข It offers text generation and autocomplete functionality
โข You can use it to tag external content
The second component is CopilotPortal
โข It's a plug-and-play AI chatbot
โข It uses your current application state
โข It can take actions inside your application and backend
โข It supports plugins
The library is open-source. You can self-host it. You can use it with any LLMโincluding GPT-4.
This project was #2 on HackerNews and ProductHunt. It was trending in GitHub.
This library works on any React app, but the team is working to expand it.
Thanks to the team for showing me their tool and collaborating with me on this post!
hi! Open Interpreter 0.2.0โThe New Computer Updateโis out today.
everything's new.
- OS Mode lets vision models operate your computer
- We included a new model for precise GUI control
- We're launching a Computer API for LLMs
โ
This is somehow more mind-blowing to me than the image generation stuff. I just tested it with three different sound prompts, including a Danish rap, and they were all imminently passable, if not outright good. The future sounds awesome. https://t.co/QCWHTIvPfO
Google just revealed an ABSOLUTE depth estimation model ๐คฏ
As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image
More details below โฌ๏ธโฌ๏ธ
Announcing React Aria Components v1.0.0! ๐ฅณ
Over 40 components with built-in behavior, adaptive interactions, top-tier accessibility, and internationalization out of the box, ready for your styles.
https://t.co/kjLb5Lk4If