Generative AI

Recent estimates suggest data centers account for around 4.4% of US electricity consumption, with new facilities supporting the AI boom consuming more power than the state of New Hampshire annually. However, the energy impact of individual prompts varies wildly based on question, model, and more.

Like ChatGPT and Bard, Claude—developed by San Francisco-based research organization Anthropic—can generate text and compose responses to inquiries according to the user's preferences in style and tone. However, its speed sets it apart. According to Anthropic, Claude’s AI model is capable of processing three times more text than ChatGPT-4 in a single go. The research organization also states that Claude tends to be more verbose than the other chatbots, but also more naturalistic. Read this article to learn more about this lesser-known next-generation AI assistant.

Unlike most content created from large language and diffusion models, deepfakes intentionally misrepresent real people or events with the intent to deceive. As the products of this technology become more realistic, they pose increasing risks to public trust, security, and privacy.

Using OpenAI’s video-generation tool Sora, a user can create impressive, hyper-realistic video footage from a simple text prompt. This short film features a whimsical look at a balloon-headed person navigating the world.

While AI may mean different things for different companies, this article explains that exploration of AI is a must, not a maybe. It explains that the requirements to start are not prohibitive, and it cautions that the downside of doing nothing is the potential to quickly fall behind competitors. While generative AI may be able to eventually automate some tasks, it appears that its real gains could come from how software vendors are able to embed the technology into everyday tools in order to substantially increase productivity. Read this article to learn more about the business implications of AI and what it could mean for CEOs, businesses, and employees.

As AI becomes a bigger part of our lives, what does that mean for the future of humanity? The podcast Entanglements hosts a pessimistic former OpenAI employee and an optimistic Princeton professor to discuss whether AI brings dystopia or a brighter future.

In late 2022, OpenAI launched a chatbot that quickly became one of the most viral tech products of all time. The software uses code to interpret natural language to produce sophisticated content based on simple user prompts.

Even with robust training, large language models may be fooled into providing sensitive information if correctly prompted. In this game, a wizard withholds eight passwords, which you must prompt them to reveal with ever-increasing LLM safeguards.

Daniel Ha is a venture capitalist who built a suite of AI agents to boost his productivity, both professionally and personally. At his VC firm, a troupe of agents gathers data on startups and analyzes it from competing perspectives to produce a confidence score. When his dad was diagnosed with cancer, Ha used an oncology-trained AI to help him understand the condition.

Early generative AI systems were inspired by scientific models such as the Ising model, which explains how atoms interact with one another and align in magnets. As these networks have expanded, their behavior has more closely resembled that of quantum fields, enabling them to be used in exploring complex particle physics interactions.