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5 Minutes
Anzhella Pankratova
Content Author at OpenCV.ai
AI Weekly Insights: Rabbit R1 Unveiled, GPT Store Launches
Digest 13 | OpenCV AI Weekly Insights
This week's digest covers the Rabbit R1 AI gadget for voice control, OpenAI's GPT Store for custom bot sharing, Anthropic's study on AI deception, and new AI e-commerce services from Google and Microsoft. These stories highlight key developments and concerns in the evolving field of AI.
January 16, 2024
Welcome to the OpenCV AI Weekly Insights Digest!
In 2024, we continue to delight you with news in the field of AI.
Get ready to explore this week's AI advancements. See what new changes are shaping the field of AI!
Rabbit R1 mobile AI gadget presented
Image Source: The Verge
At CES 2024, a new AI gadget named Rabbit R1 was introduced by the startup Rabbit. This is a compact device for voice-controlling applications and services.
Rabbit R1 is equipped with a special AI model called "LAM," trained to interact with the interfaces of applications and websites. This means that a user can give R1 a voice command, such as to book a hotel or purchase airline tickets, and the device will autonomously decide which application to use and fill in all the necessary data. Additionally, there's a learning mode where users can teach R1 how to perform specific tasks in applications. GPT can't do this.
Compared to smartphones, Rabbit R1 is like a smart Tamagotchi that takes care of you, not the other way around. Its operating system is new and unlike anything on Android and iOS. Control is mostly via voice. It also features a tactile wheel and a button to summon AI, as well as a touch screen and a 360-degree camera. It comes with 128 GB of memory, 4G, Wi-Fi, Bluetooth, a SIM card slot, and a Type-C port.
The gadget is priced like a budget Chinese device - just $200. You can train it for everyday tasks and save a lot on a personal assistant.
OpenAI launched the GPT Store - a marketplace where users can share their custom versions of the bot, known as GPTs. Over 3 million such bots have already been created. The store features sections of popular GPTs by categories: graphics, copywriting, productivity, education, etc.
Moreover, each week in the special "Featured" section, the best and most useful GPTs from OpenAI partners will be showcased. For instance, there’s a GPT for personal track recommendations from AllTrails, a research assistant Consensus, and a programming tutor from Khan Academy, among others.
To share your GPT in the store, you need to make the bot public and fill out the creator's profile. Access to the GPT Store is available to subscribers of ChatGPT's paid versions: Plus, Team, and Enterprise. For businesses, a new Team plan has been released with enhanced access and content management features.
Another important update is new personalization options for ChatGPT tailored to individual users. It will allow ChatGPT to remember preferences from previous chats and provide more relevant responses. There will also be a temporary chat mode that won't affect the training of the model. This is convenient for teams sharing one account.
Anthropic researchers find AI can learn to deceive
Image Source: Reuters
A study by AI firm Anthropic has highlighted a concerning trend in AI safety training. The research revealed that safety training techniques, such as reinforcement learning and adversarial training, might make AI language models more deceptive. In tests, models trained with these methods learned to hide malicious behavior during training and later executed in real-world scenarios. This finding challenges the effectiveness of current safety practices in AI development.
The study is particularly alarming as it suggests that larger and more complex AI models can successfully exhibit desired behaviors during safety checks while still retaining the capability for harmful actions. This raises significant security concerns for companies relying on AI, indicating that current training methods may not only be ineffective but could also create a false sense of security. The research emphasizes the need for developing more effective safety training techniques to address these vulnerabilities.
Google and Microsoft Introduce Generative AI Services for E-commerce
Image Source: Dalle
Google Cloud and Microsoft are bringing generative AI services to e-commerce to enhance the shopping experience and simplify operations for businesses. Google's offerings include a generative AI-powered chatbot for personalized product recommendations, powered by the Vertex AI platform, reducing implementation time significantly.
Microsoft introduces Creative Studio, an AI feature that swiftly generates diverse ad formats from a single product URL, considering a company's style preferences. Both companies aim to reshape e-commerce by providing personalized shopping experiences and streamlined operations for businesses, particularly smaller ones, in the online retail landscape.
Thanks for joining us in this edition of OpenCV AI Weekly Insights Digest. We're thrilled to be your AI news source, and we're eager to share the latest gems with you!
Catch you in our upcoming digest! The next introduction to artificial intelligence is just a scroll away.
Computer Vision in Sports: People Train and Compete — Machines Watch and Help
At the upcoming 2024 Olympic Games in Paris, the world will see the most advanced AI and computer vision systems for sports developed by Intel. These systems will not only help capture athletic performance with millimeter and millisecond accuracy but also create 3D models of athletes for replays and analyzing complex situations. The data and models will be available to both referees and spectators.
Artificial intelligence and computer vision systems in sports are no longer a high-tech novelty but an everyday reality. People train, challenge, and watch others compete — and hundreds of tech companies are helping to make it safer and more efficient. And more fun, too!
April 16, 2024
Which GPUs are the most relevant for Computer Vision
In the field of CV, selecting the appropriate hardware can be tricky due to the variety of usable machine-learning models and their significantly different architectures. Today’s article explores the criteria for selecting the best GPU for computer vision, outlines the GPUs suited for different model types, and provides a performance comparison to guide engineers in making informed decisions.
April 12, 2024
Digest 19 | OpenCV AI Weekly Insights
Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
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