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OpenAI acquires $15M+ domain
PLUS: Microsoft's new multi-agent coordination system
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OpenAI just acquired the $15M+ domain name chat.com (which now leads to ChatGPT) from HubSpot's founder, making it one of the largest domain deals in history.
Could the shift from "ChatGPT" to simply "chat" signal the end of the GPT era — and the start of something new? Let's get into it...
In today’s issue:
OpenAI acquires $15M+ domain name
Nvidia unveils major robotics AI toolkit
Master any topic with interactive AI learning
Microsoft unveils multi-agent AI system
6 new AI tools & Tools on sale
New AI Job Opportunities
Read time: 4 minutes
OPENAI
Image source: Justin Sullivan/Getty Images
The Rundown: OpenAI has acquired the domain name chat.com (which now redirects to ChatGPT) from HubSpot founder Dharmesh Shah, marking what could be one of the largest domain purchases in history.
The details:
Dharmesh Shah, the tech billionaire and founder of HubSpot and agent.ai, acquired chat.com in March of 2023 for a reported $15.5 million.
Two months after purchase, Shah announced the domain's sale to an unnamed buyer, also donating $250,000 of the profits to Khan Academy.
Yesterday (over a year since Shah’s announcement), Sam Altman confirmed OpenAI's acquisition of the domain, which now leads directly to ChatGPT.
Shah confirmed that the $15M+ domain name was sold to OpenAI but implied that he sold the domain for shares in the startup.
Why it matters: While $15M+ in stock from the fastest-growing startup in history is significant, it's a drop in the bucket for a company that just raised $6.6B. The shift from "ChatGPT" to simply "chat" could signal OpenAI's broader vision away from the GPT era, potentially preparing for a future dominated by o1-style reasoning models.
NVIDIA
Image source: NVIDIA
The Rundown: Nvidia just announced a comprehensive suite of new AI and simulation tools for robotics development at the 2024 Conference on Robot Learning (CoRL), including new humanoid capabilities, training systems, and a partnership with open-source platform Hugging Face.
The details:
Nvidia's Isaac Lab framework is now generally available and provides open-source tools for training robots at scale.
A Project GR00T initiative introduced new specialized workflows for humanoid robot development, from motion generation to environment perception.
A new partnership with Hugging Face integrates their LeRobot platform with Nvidia's tools, hoping to accelerate AI robotics initiatives.
The chipmaker also unveiled a Cosmos tokenizer, which is capable of processing robot visual data up to 12x faster than existing solutions.
Why it matters: The race to develop capable humanoid robots is on, and Nvidia is positioning itself as the foundation layer for the entire industry. With an avalanche of new training tools and increasingly capable AI models to infuse into physical hardware, the acceleration from the entire robotics sector shows no signs of slowing down.
AI TRAINING
The Rundown: Google's experimental Learn About feature provides an interactive, in-depth learning experience with AI-powered explanations, visual aids, and dynamic content exploration.
Step-by-step:
Visit Google’s Learn About page (available only in selected countries).
Enter your topic or choose from curated collections.
Explore interactive content with vocabulary builders, timelines, and visual aids.
Use Simplify, Go Deeper, or Get Images options to customize your learning.
Pro tip: Use the suggested follow-up questions and related topics to create a comprehensive understanding of your subject.
MICROSOFT
Image source: Microsoft
The Rundown: Microsoft researchers just introduced Magnetic-One, an AI orchestration system that coordinates multiple specialized agents to tackle complex real-world tasks like writing code, operating a browser, and even ordering food from a restaurant.
The details:
The system starts with an "Orchestrator" agent, which leads a team of four other specialized AIs to coordinate a desired multi-step task.
The agents autonomously plan, execute, and adjust strategies, with demos showcasing sandwich ordering, finding stock trends, and more.
Magnetic-One is open-source and was released alongside an AutoGenBench testing tool for evaluating agentic performance.
Magnetic-One shows competitive performance against top specialized agent systems across various benchmarks like GAIA, AssistantBench, and WebArena.
Why it matters: The dream of having your own team of AI agents ready to tag-team a daily task list is getting closer. Multi-agent coordination is clearly a crucial component for leveraging tools to complete complex real-world tasks, and Microsoft’s open-source approach could help level up the coming agentic revolution even more.
Prompt of today
Prompts:
an extreme close-up detail editorial fashion image shot in the streets of London in the rain of an a white, very short, minimalist, richly embroidered couture wedding dress designed by Prada. There is also an open detachable extremely long skirt. The dress is worn by a gorgeous model of with red hair. She is well built, tall and slender. No lace. The image is photographed in the style of Jonty Sherperd, using flash. The use of flash is a strong element in the image. The shot is taken at dusk in the rain in London. The image is bright and high-key, fashionable, edgey, contemporary, 8k, real life, --ar 16:9 --style raw
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AI around the world
Google accidentally leaked "Jarvis," an AI system capable of autonomously controlling a computer and performing web-based tasks, on the Chrome Web Store briefly ahead of its planned December release.
Saudi Arabia unveiled plans for "Project Transcendence," a $100B AI initiative to establish the kingdom as a global tech powerhouse through investments in data centers, startups, and infrastructure.
Perplexity is reportedly set to raise $500M at a $9B valuation despite ongoing legal challenges from major publishers over the startup’s content usage practices.
Chinese AI video platform KLING is launching a ‘Custom Models’ feature, allowing users to train personalized video characters using 10-30 video clips for consistent appearances across scenes and camera angles.
Microsoft filed a patent for a ‘response-augmenting system’ designed to combat AI hallucinations, having the model double-check its answers against real-world information before responding to users.
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