a robot vacuum cleaning a rug with a street map design –ar 5:3 –style raw
Gaussian Splatting and Nerfs
“3D explorable worlds built from Google Street View data. From the researchers who made Gaussian splatting:
AI to navigate the world – 3D tiles + ChatGPT in Unity – YouTube
SUNDAE: Spectrally Pruned Gaussian Fields with Neural Compensation
“HaLo-NeRF Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections Internet image collections containing photos captured by crowds of photographers show promise for enabling digital exploration of large-scale tourist landmarks.
“Happy to announce the results of our latest research, which takes 3D Gaussian Splatting to the next level: “A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets,” which has been accepted at #SIGGRAPH2024!🎉 Find it here:
3D Modeling
“🎂 It’s Meshy’s 1st birthday, and we’re celebrating with the launch of Meshy-3! 🎉 🌠 Text to 3D: – High-poly Sculpture Style for next-gen games & movies – PBR Style for material realism & dynamic lighting 🖼️ Image to 3D: – Deliver natural shapes & crisp textures! Plus, enjoy
Robot Training
“Look what our robot built!! Home StreetView FTW. All on the edge device — if it can see it, it can clean it. If it can see it, it can manipulate it…(shh!!). WARNING: This is not a lab demo. It’s a real robot, in a real home, solving real problems! Thanks to our incredible
“We trained a robot dog to balance and walk on top of a yoga ball purely in simulation, and then transfer zero-shot to the real world. No fine-tuning. Just works. I’m excited to announce DrEureka, an LLM agent that writes code to train robot skills in simulation, and writes more https://x.com/DrJimFan/status/1786429467537088741

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.
Be Sure To Read This Week’s Main Post:
This week’s executive overview and top links are here:
AI News #31: Week Ending 05/03/2024 with Executive Summary and Top 95 Links
The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.
- Agents/Copilots
- Amazon
- Apple
- Artificial General Intelligence (AGI)
- Augmented and Virtual Reality (AR/VR)
- Autonomous Vehicles
- AI Audio
- Business and Enterprise AI
- Chips and Hardware
- Consumer Products
- Education
- Ethics/Legal Security
- Images/Photos
- International AI News
- Locally Run AI Models
- Mobile
- Meta
- Microsoft
- OpenAI
- Open Source
- Podcasts/YouTube
- Publishing and News
- Retrieval-Augmented Generation (RAG) News
- Robots and Embodiment
- Science and Medicine
- Video
- Vision/Multimodality
- X/Twitter/Grok
- Tech and Development
Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.
- Robert Scoble: https://x.com/Scobleizer
- Ethan Mollick: https://www.linkedin.com/in/emollick/
- Alan Thompson: https://lifearchitect.ai/
- Theoretically Media: https://www.youtube.com/@TheoreticallyMedia
- The Rundown: https://www.therundown.ai/
- Bilawal Sidhu: https://twitter.com/bilawalsidhu/
- TLDR: https://tldr.tech/ai
- Jeremiah Owyang: https://twitter.com/jowyang
- Nick St. Pierre: https://twitter.com/nickfloats
- Dr. Jim Fan: https://twitter.com/DrJimFan
- All About AI: https://www.youtube.com/@AllAboutAI
- Marshall Kirkpatrick: https://aitimetoimpact.com/
- AI News (Smol Talk): https://buttondown.email/ainews/archive/
For previous issues, please visit the archives!

Thanks for reading!





Leave a Reply