Google’s Gemini 1.5 Pro Gets A Body
Plus: OpenAI’s new tracker for its LLMs’ progress toward AGI, AWS gets a blitz of new AI updates.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 316th edition of The AI Edge newsletter. This edition features DeepMind’s assistant robot powered by Gemini 1.5 Pro.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🤖 Google’s Gemini 1.5 Pro gets a body: DeepMind’s office “helper” robot
🌐 OpenAI’s new scale to track the progress of its LLMs toward AGI
📢 Amazon announces a blitz of new AI updates for AWS
📚 Knowledge Nugget: Let's delve into exploring the rich and dynamic tapestry of AI plagiarism or: You're not an AI detector by
Let’s go!
Google’s AI gets a body: DeepMind’s office “helper” robot
A tall, wheeled “helper” robot is now roaming the halls of Google's California office, thanks to its AI model. Powered with Gemini 1.5 Pro’s 1 million token context length, this robot assistant can use human instructions, video tours, and common sense reasoning to successfully navigate a space.
In a new research paper outlining the experiment, the researchers claim the robot proved to be up to 90% reliable at navigating, even with tricky commands such as “Where did I leave my coaster?” DeepMind’s algorithm, combined with the Gemini model, generates specific actions for the robot to take, such as turning, in response to commands and what it sees in front of it.
Why does it matter?
This work represents the next step in human-robot interaction. DeepMind says that in the future, users could simply record a tour of their environment with a smartphone so that their personal robot assistant can understand and navigate it.
OpenAI’s new tracker for its LLMs’ progress toward AGI
OpenAI has created an internal scale to track its LLMs' progress toward artificial general intelligence (AGI).
Chatbots, like ChatGPT, are at Level 1. OpenAI claims it is nearing Level 2, which is defined as a system that can solve basic problems at the level of a person with a PhD.
Level 3 refers to AI agents capable of taking actions on a user’s behalf.
Level 4 involves AI that can create new innovations.
Level 5, the final step to achieving AGI, is AI that can perform the work of entire organizations of people.
This new grading scale is still under development.
Why does it matter?
OpenAI's mission focuses on achieving AGI, making its definition crucial. A clear scale to evaluate progress could provide a more defined understanding of when AGI is reached, benefiting both OpenAI and its competitors.
AWS gets a blitz of new AI updates
At the AWS New York Summit, AWS announced a wide range of capabilities for customers to tailor generative AI to their needs and realize the benefits of generative AI faster.
Amazon Q Apps is now generally available. Users simply describe the application they want in a prompt and Amazon Q instantly generates it.
With new features in Amazon Bedrock, AWS is making it easier to leverage your data, supercharge agents, and quickly, securely, and responsibly deploy generative AI into production.
It also announced new partnerships with innovators like Scale AI to help you customize your applications quickly and easily.
Why does it matter?
AWS's lead in the cloud market has been shrinking, and it is relying on rapid AI product development to make its cloud services more appealing to customers.
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Knowledge Nugget: Let's delve into exploring the rich and dynamic tapestry of AI plagiarism or: You're not an AI detector
This insightful article by
critiques the overconfidence in detecting AI-generated text in academia. It argues that many educators falsely accuse students, especially non-native English speakers, of using AI for their work.The author highlights the unreliability of current AI detection methods and suggests that only a few viable options exist to address AI plagiarism in academic writing. The piece calls for a more cautious approach to avoid unjust accusations and discrimination.
Why does it matter?
Misunderstanding AI’s capabilities and limitations can lead to ineffective policies and practices in academic settings. The article raises important questions about fairness, justice, and the evolving nature of education in an AI-driven world.
What Else Is Happening❗
🚀Groq claims the fastest hardware adoption in history
Groq announced that it has attracted 280,000 developers to its platform in just four months, a feat unprecedented in the hardware industry. Groq’s innovative, memory-free approach to AI inference chips drives this rapid adoption. (Link)
💻SoftBank acquires UK AI chipmaker Graphcore
Graphcore, once considered a potential rival to market leader Nvidia, will now hire new staff in its UK offices. The firm will now be a subsidiary under SoftBank but will remain headquartered in Bristol. (Link)
🌍AMD to acquire Silo AI to expand enterprise AI solutions globally
Silo AI is the largest private AI lab in Europe, housing AI scientists and engineers with extensive experience developing tailored AI models. The move marks the latest in a series of acquisitions and corporate investments to support the AMD AI strategy. (Link)
❌USA’s COPIED Act would make removing digital watermarks illegal
The Act would direct the National Institute of Standards and Technology (NIST) to create standards and guidelines that help prove the origin of content and detect synthetic content, like through watermarking. It seeks to protect journalists and artists from having their work used by AI models without their consent. (Link)
🤖New startup helps creators track and license work used by AI
A new Los Angeles-based startup, SmarterLicense, is selling a tool that tracks when a creator’s work is used on the internet for AI or other purposes. (Link)
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Thanks for reading, and see you tomorrow. 😊