šŸ§  AI 'brains' power next-gen robots

Plus: Alphabet's new AI model claims speed and intelligence boost.

Welcome HumansšŸ¤–,

Get the most important AI, tech, and science news in a free daily email.
New Here? Subscribe!
Sponsorship Slots Open for August and Reach over 600+ active readers. (Now 40% off) šŸ¤Æ

ROBOTICS

ANYbotics' industrial robots have progressed from basic stair-climbing to complex parkour-like movements in just three years, thanks to new AI models. The robots are adapting to their environment powered by new artificial intelligence models to perform these new actions.

Image: FT Montage/Dreamstime

Who are the major players?

Google, OpenAI, and Tesla are racing to develop AI systems ā€œBrainā€ that could transform industries, particularly healthcare and manufacturing.

How is AI improving robots?

  • Enhances computer vision and spatial reasoning

  • Increases autonomy and adaptability

  • Enables better understanding of surroundings and human interaction

What about humanoid robots?

Major AI companies and investors are heavily funding the development of humanoid robots, with OpenAI backing startups like 1X Robotics for domestic bots.

Are there any challenges?

Yes, the robotics sector faces hurdles such as high costs and technological limitations, despite rapid market growth and significant investments.

What's driving market growth?

  • Increasing public acceptance of AI tools

  • Substantial funding for startups like Mytra and RobCo

  • Growing use of robots in public-facing roles and everyday environments

What's the future outlook?

While challenges persist, the robotics industry is poised for significant growth and innovation, potentially transforming various sectors with more capable and adaptable robots.

Today`s Pick

  • PsiQuantum is working with the Australian government to make a quantum network computer possible.

  • AMD is launching a new version of its text-to-image generator, Amuse 2.0, which can run on the chip makerā€™s laptops without an internet connection.

  • Meta just introduced Segment Anything Model 2 (SAM 2), an advanced AI model that can identify and track objects across video frames in real-time, marking a significant leap in video AI...

  • Runway just announced that Gen-3 Alpha, the startupā€™s popular AI text-to-video generation model, can now create high-quality videos from still images.

  • Apple revealed its Apple Intelligence Foundation Model technical report, revealing architecture specifics, pre-training methods, and deployment strategies for both server and on-device AI models.

  • Elon Musk predicted a future with 10 billion humanoid robots, more than the number of humans, describing it as a fundamental milestone in civilization.

Recommended Reading
If WE had to recommend other newsletters

AI Tool Report is an Newsletter, we enjoy reading daily. AI Tool Report delivers top techniques on how AI can transform your business filled with practical tips, real-world examples.

A Smart Bear is for people who love thinking about strategy, startups, product, marketing, decision-making, and founder psychology.

Job Opportunities
  • Mistral AI - Account Executive (UK) - Apply

  • DeepL - Software Engineering Manager (API) - Apply

  • Palantir Technologies - Backend Software Engineer (Infrastructure) - Apply

  • UiPath - Senior Sales Engineer II - Apply

  • Weights & Biases - IT Manager (On-Site) - Apply

  • Meta - Data Scientist, Monetization - Apply

AI ISSUES

Alphabet has made Gemini 1.5 Flash, a leaner and more efficient version of its large language model, available to power the free version of its chatbot.

What improvements does it offer?

  • 32,000 token context window, four times longer than the previous version

  • "Noticeable improvements in reasoning and image understanding"

  • Available in 230 countries and 40 languages

What new features are included?

  • Cites sources and includes links

  • Ability to analyze uploads, including files from Google Drive

  • Can interact with user's inbox (with permission)

Why is this significant?

  • Addresses the high energy costs associated with running large AI models

  • Makes advanced AI capabilities more accessible to users

  • Potentially reduces AI's environmental footprint

How does this compare to other AI companies?

  • Follows a trend of developing more efficient models (e.g., Mistral, Meta, Anthropic)

  • Aims to balance advanced capabilities with reduced operational costs

What's the long-term impact?

  • Could help maintain free access to AI tools for users

  • May set a new standard for efficiency in AI model development

  • Potentially influences the future direction of AI technology and accessibility

This move by Alphabet highlights the growing focus on efficiency in AI, balancing advanced capabilities with practical considerations of cost and environmental impact.

AI ART

I am in LOVE with these. Which one is your favorite?

Credit: Midjourney

Ideas? Comments? Complaints?

We read your emails, comments and poll replies daily.

What`d you think of today`s edition?

Login or Subscribe to participate in polls.

Until next time, Stay Informed!

Reply

or to participate.