Anthropic's first developer conference kicked off in San Francisco on Thursday, and while the rest of the industry races toward artificial general intelligence, at Anthropic the goal of the year is deploying a "virtual collaborator" in the form of an autonomous AI agent. "We're all going to have to contend with the idea that everything you do is eventually going to be done by AI systems," Anthropic CEO Dario Amodei said in a press briefing. As roughly 500 attendees munched breakfast sandwiches with an abnormal amount of arugula, and Anthropic staffers milled about in company-issued baseball caps, Amodei took the stage with his chief product officer, Mike Krieger. "When do you think there will be the first billion-dollar company with one human employee?" Amodei, wearing a light-gray jacket and a pair of Brooks running shoes, replied without skipping a beat: "2026."

I was never afraid to train an AI chatbot on my writing, because OpenAI had already broken the seal. CEO Sam Altman announced the "GPT" feature at OpenAI's first developer day in November, prior to the company's five days of leadership chaos. Before the release of custom GPTs, ChatGPT with web browsing was already able to plunder my writing for answers to questions about everything, from using better prompts to understanding niche creepypastas. Why not wrestle around with the chatbot and see if it can mimic me tout à fait? Together, let's see how far we can trek into the uncanny valley with AI and learn how to make one of these so-called GPTs using OpenAI's tools.

Autonomous vehicles are one of the most complex challenges for Artificial Intelligence today, and bringing AVs to market requires the sharing of tremendous knowledge and expertise in end-to-end solutions. For those who do not know, NVIDIA is primarily recognized for providing graphics cards (GPUs) for computers and games, but in recent years thanks to the improvement of high processing hardware, the company has become an essential partner of the automobile industry in the development of artificial intelligence, a fundamental part in the development of autonomous vehicles. After all, this new generation of autonomous vehicles requires enormous computational power and it means that as important as talking about the engine or the vehicles's transmission, with Autonomous Vehicles it will be fundamental to talk about its hardware and software. That's why is at the data center, where autonomous vehicles are born and raised. It is where the car's Deep Neural Networks (DNNs) learn how to detect objects and perceive their surroundings and where self-driving software can be tested and validated over millions of virtual miles.