Sam Altman discusses his corporate strategy at OpenAI, the transformative potential of artificial intelligence, and the ethical dilemmas it presents, in an interview with Andrew Ross Sorkin at the 2024 New York Times DealBook Summit. Interviewer: Andrew Ross Sorkin, the founder and editor at large of DealBookGuest: Sam Altman, the co-founder and C.E.O. of OpenAI‍

Here's a supercut from Jensen Huang's presentation at the AI Summit in Japan where he talks about what is accelerated computing and the GPU - CPU architecture that drives it.AI Revolution and NVIDIA's Role🚀NVIDIA has transformed into a simulation technology company, building virtual "time machines" that simulate physics, worlds, and intelligence to predict the future.💡The company's cuDNN technology enabled a 1 million-fold scaling of AI and machine learning, leading to breakthroughs like ChatGPT and establishing a new computing paradigm with neural networks on GPUs.
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Digital Employees
Imagine AI that doesn't just spit out an answer, but actually thinks about and improves its work - that's what Andrew Ng is super excited about right now! He's talking about a cool new way of using AI where instead of just getting a one-and-done response, the AI goes through a bunch of steps: writing something, checking its own work, making it better, and even playing different "roles" to solve problems more effectively.

The Coming Third Wave of A.I
Sylvio Sará from Salesforce explains the exciting new world of "agentic AI," where companies can create specialized digital agents to handle tasks like customer service, sales, and more, which can be customized and integrated into different business workflows. These AI agents are different from simple chatbots - they can remember context, reason through complex tasks, and even interact with other AI agents, potentially doing things like booking a rental car or scheduling meetings on your behalf. The future of work, according to Sará, will involve humans becoming "orchestrators" who manage these AI agents, focusing on high-level strategy while letting AI handle repetitive and routine tasks.

Making AI Agents Smarter 🤖
Agentic AI workflows significantly outperform zero-shot prompting by iterating through research, draft, critique, revise, and think stages, producing superior outputs.🔄The "Reflection" design pattern enhances AI performance by prompting the model to critique its own output, improve based on self-criticism, and act as a code reviewer.Advanced AI Applications