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š§ AI 'brains' power next-gen robots
Plus: Alphabet's new AI model claims speed and intelligence boost.

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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.
Who are the major players?
Google, OpenAI, and Tesla are racing to develop AI systems āBrainā 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 makerās 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 startupās 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.
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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.
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