Artificial intelligence is growing in leaps and bounds, and everywhere from Big Tech companies like Google to small teams like OpenAI are developing more and more convincing chatbots. Is the world ready for convincing, talking computers? If you enjoy this show, please consider signing up for Slate Plus. Slate Plus members get benefits like zero ads on any Slate podcast, bonus episodes of shows like Slow Burn and Dear Prudence--and you'll be supporting the work we do here on What Next TBD. Sign up now at slate.com/whatnextplus to help support our work.

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Move over Siri and Alexa, there's a new AI in town and it's ready to steal the show--or at least make you laugh with its clever quips and witty responses. That is how ChatGPT, the powerful chatbot released last week by the AI company OpenAI, suggested that I begin this story about ChatGPT. The chatbot isn't exactly new; it's an updated version of GPT-3, which has been around since 2020, released to solicit feedback to improve the chatbot's safety and functionality. But it is the most powerful to date to be made widely available to the public. It's also very easy to use.

As the metaphor suggests, though, the prospect of a capability overhang isn't necessarily good news. As well as hidden and emerging capabilities, there are hidden and emerging threats. And these dangers, like our new skills, are almost too numerous to name. How, for example, will colleges adapt to the proliferation of AI-written essays? Will the creative industries be decimated by the spread of generative AI?

The Conversational Speaker, informally known as "Friend Bot", uses a Raspberry Pi to enable a spoken conversation with OpenAI large language models. This implementation waits for a wake phrase, listens to speech, processes the conversation through the OpenAI service, and responds back. For more information on the prompt engine used for maintaining conversation context, go here: python,typescript,dotnet. This project is written in.NET 6 which supports Raspberry Pi OS, Linux, macOS, and Windows. The code base has a default wake word (i.e., "Hey, Computer.")

One morning your correspondent woke up to an email from his editor, asking for yet another article. "Chatgpt and other generative-ai services seem to be taking the world by storm," it read. "Could you write an article explaining what they are and why they are not just hype?" As he was feeling lazy he asked Chatgpt, an ai-based online service trained on reams of text from the internet, to answer that question, adding that it should be written in Shakespearean language. But how will gpts (short for generative pre-trained transformers) and other such services make money?

Are you ready for a world where super-intelligent robots faithfully impersonate people? To help see what that might look like, The Wall Street Journal deployed ChatGPT, a free (for now) Artificial Intelligence trained on a huge dataset researchers gathered through 2021, which recently became a viral hit. We asked it to compose tweets in the style of public figures and institutions to see if anyone could distinguish them from the real thing. We included specifics in our prompts to the AI: write a tweet by Neil deGrasse Tyson about the universe. The topics we picked were based on the author's previous tweets.

Artificial intelligence is advancing faster than ever, with a new crop of generative AI programs that are creating art, videos, humor, fake news, and plenty of controversy. The technologies powering this latest slate of tools have been in the works for years, but the public release of these programs--particularly a new chatbot enabled by OpenAI's GPT system--represents a big step forward for machine intelligence. Same with the image-generating app Lensa, which creates painterly selfies that have captured the public's imagination. Now, engineers are asking chat programs for coding help, students are using AI to generate book reports instantly, and researchers are testing the tools' ethical boundaries. It's all gotten very weird, but AI is about to get bigger and even weirder still.

This article is part of our coverage of the latest in AI research. This week, OpenAI released ChatGPT, another fascinating large language model (LLM) based on its flagship GPT series. ChatGPT, which is available as a free demo at the time of this writing, is a model that has been specialized for conversational interactions. As with most things regarding LLMs, the release of ChatGPT was followed by controversy. Within hours, the new language model became a Twitter sensation, with users posting screenshots of ChatGPT's impressive achievements and disastrous failures. However, when looked at from the broad perspective of large language models, ChatGPT is a reflection of the short but rich history of the field, representing how far we have come in just a few years and what fundamental problems remain to be solved.

The ability to turn a user's selfie into an anime character has turbocharged the Meitu app to the top of Japan's download rankings over the past week, spurring a big jump in the company's shares. Hong Kong-based Meitu is up more than 50% over the past couple of weeks, in which time its app has reached the top of Apple's free iPhone downloads chart and No. 2 on Android's Google Play in Japan, according to data.ai While not new to the Japanese market, the key novelty in the beauty app was the addition of the option to transform a photo into an anime style with the help of AI. The use of AI to generate or alter images has taken off in global popularity this year with the introduction of text-to-image systems like Midjourney and OpenAI's Dall-E. The technology is not without its controversy, but its appeal and accessibility have helped it proliferate.