Did OpenAI Just Spend More Than $10 Million on a URL?

Chat.com now redirects to ChatGPT.

Nov 07, 2024

On Wednesday, OpenAI CEO Sam Altman posted a simple URL on X: chat.com. It automatically routes to ChatGPT.

Previously, the domain was owned by Dharmesh Shah, the founder and CTO of HubSpot. In early 2023, Shah purchased chat.com for $15.5 million. However, just a few months later, he announced that he had sold the domain, though he wouldn’t disclose the details of the sale or the buyer. Notably, he did confirm that he sold the domain for more than he had originally paid for it.

“The reason I bought chat.com is simple: I think Chat-based UX is the next big thing in software. Communicating with computers/software through a natural language interface is much more intuitive. This is made possible by Generative A.I,” Shah wrote in a LinkedIn post announcing the purchase, which chat.com briefly redirected to before he resold it.

More about OpenAI’s purchasing Chat.com on the Verge

Vinod Khosla, Legendary VC, Looks Into The Past To See The Future of AI | Disrupt

Watch legendary investor Vinod Khosla's electrifying fireside chat on the future of AI at Disrupt 2024. Khosla shares his perspective on the groundbreaking opportunities AI unlocks — along with the seismic disruptions it will unleash. Given Khosla’s penchant for straight talk and his proven ability over the years to see around corners, you'll want to listen to the entire conversation.

AI Agents Economy: Why Crypto May Hold The Key To Fund Management

AI agents—autonomous systems designed to make decisions, perform tasks, and interact within digital environments—are increasingly seen as transformative for various industries, including finance. These agents operate independently, following pre-set goals or adapting dynamically, and hold promise in roles ranging from customer service to fund management.

Investor interest in AI agent startups has surged recently: in the last 12 months, there have been 156 deals in the AI agent space, marking an 81.4% increase year-over-year, according to PitchBook. So far in 2024, AI agents alone have raised over $1 billion in funding, per CB Insights. Across the AI sector as a whole, investment levels are reaching historic highs, with $18.9 billion raised in Q3 2024 alone, comprising 28% of all venture funding—highlighted by OpenAI’s unprecedented $6.6 billion round, the largest venture deal of all time, according to Crunchbase.

As the potential of autonomous agents becomes more tangible, crypto is emerging as a promising infrastructure to enable AI agents to securely and independently manage funds, potentially overcoming the limitations of traditional finance systems.

Llama: The Open-Source AI Model that's Changing How We Think About AI

Explore the world of Llama, an open-source AI model that's transforming the way we think about artificial intelligence. Brianne Zavala will take you on a journey through the history, benefits, and applications of Llama. From data generation to knowledge distillation, and from multi-lingual capabilities to context windows discover how Llama is being used to revolutionize various industries and improve lives.

I Use These Seven Prompts To Unlock ChatGPT's Full Potential

ChatGPT has quickly become one of the most versatile AI tools. From image generation to ChatGPT Search, the usefulness of OpenAI’s chatbot seems endless. But how do you unlock its full potential? Effectively using ChatGPT is all about asking the right questions.

After experimenting with the chatbot across a range of tasks, I have discovered that certain prompts can maximize its usefulness and efficiency. In other words, the right prompts ensure the best responses while avoiding the need for extra prompts or follow-up questions. Here are seven prompts I use regularly to get the most out of ChatGPT, and how you can use them too.

If you are having trouble coming up with ideas or stuck down a web search rabbit hole, try using these prompts. They can save you hours of brainstorming.

More about 7 prompts to unlock ChatGPT”s full potential

What It Actually Takes to Deploy GenAI Applications to Enterprises:

Join Trey Doig and Arjun Bansal as they recount Echo AI’s journey rolling out its conversational intelligence platform to billion-dollar retail brands. They’ll discuss navigating LLM accuracy issues as well as what needed to happen at the application and infrastructure layers in order to successfully deploy at enterprise scale.

Arjun Bansal is an entrepreneur and AI expert focused on understanding and building intelligent systems. He is currently CEO & co-founder of Log10.io, a platform for measuring and improving accuracy of LLM applications and agents. Arjun previously co-founded Nervana Systems (acq. Intel), and XOKind (AI agents for travel). Arjun's career spans research in brain-machine interfaces, building AI processors, and AI sidekicks.

Trey Doig is the Co-Founder & CTO at Echo AI, building a GenAI-native Conversation Intelligence platform. Trey has over ten years of experience in the tech industry, having worked as an engineer for IBM, Creative Commons, and Yelp. Trey’s previous startup SeatMe, was acquired by Yelp.com, which still powers their reservation functionality today.

Did Google Accidentally Leak Its New AI Tool That Browses The Internet For You?

According to The Information, an "internal preview" of the AI agent, internally dubbed Jarvis, was briefly made available to download as an extension in the Chrome web store on Tuesday. The outlet reported that the extension was described as "a helpful companion that surfs the web with you."

The prototype was downloadable, but it didn't work due to access permissions. Later in the day, the extension was removed from the web store. The unintentional appearance of Jarvis on the Chrome web store confirms previous reports of what Google is working on.

The AI agent is expected to browse the web on behalf of users and perform tasks like buying products and booking flights. Google reportedly plans to publicly introduce Jarvis in December, alongside the latest version of its Gemini large language model.

More about Google’s Jarvis leak on Mashable

Building Scalable AI Infrastructure with Kuberay and Kubernetes | Ray Summit

KubeRay maintainers Andrew Sy Kim from Google and Kai-Hsun Chen from Anyscale present an in-depth look at scaling generative AI workloads using KubeRay and Kubernetes. Their talk addresses how this integration provides a lightweight, flexible solution for diverse infrastructure requirements in AI deployments.

The presentation covers crucial integrations with the Kubernetes ecosystem and cloud providers, focusing on essential features for training and fine-tuning. These include gang scheduling, distributed checkpointing, and retries.

The speakers explore KubeRay's capabilities in supporting both online and offline inference through features like Ray Autoscaler and fault tolerance, along with its compatibility with various hardware accelerators including GPUs, TPUs, and CPUs.

The session includes current KubeRay project updates and developments, highlighting Kubernetes community enhancements such as hierarchical scheduling and dynamic resource allocation (DRA). This comprehensive overview demonstrates how KubeRay and Kubernetes work together to scale AI infrastructure across multi-cloud, production environments.

Thats all for today, however new advancements, investments, and partnerships are happening as you read this. Subscribe today, so you don’t miss any AI related news.