the Google logo made out of money –ar 16:9 –style raw
DeepMind
DeepMind CEO Says Google Will Spend More Than $100 Billion on AI – Bloomberg – https://www.bloomberg.com/news/articles/2024-04-16/deepmind-ceo-says-google-will-spend-more-than-100-billion-on-ai
“Google DeepMind researchers shared new demos of its low-cost ALOHA 2 autonomous robots. The new demos showcase the robot’s ability to tie shoelaces, hang shirts, and more. https://twitter.com/rowancheung/status/1780776307938177268
Other Google News
Google will provide AI to the National Guard for disaster response – The Washington Post – https://www.washingtonpost.com/technology/2024/04/17/google-x-bellwether-national-guard-disasters/
Bellwether – X Helping National Guard Case Study – https://x.company/case-study/bellwether-diu/
Google’s new technique gives LLMs infinite context | VentureBeat – https://venturebeat.com/ai/googles-new-technique-gives-llms-infinite-context/
Google merges Android and hardware teams for the sake of speed and AI – https://www.androidauthority.com/google-merges-android-and-hardware-teams-3435469/
Building for our AI future – https://blog.google/inside-google/company-announcements/building-ai-future-april-2024/
Google merges the Android, Chrome, and hardware divisions | Ars Technica – https://arstechnica.com/gadgets/2024/04/google-merges-the-android-chrome-and-hardware-divisions/
“Google announces TransformerFAM Feedback attention is working memory While Transformers have revolutionized deep learning, their quadratic attention complexity hinders their ability to process infinitely long inputs. We propose Feedback Attention Memory (FAM), a novel https://twitter.com/_akhaliq/status/1780081593643647022

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 #28: Week Ending 04/12/2024 with Executive Summary and Top 48 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
- 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