Suno's AI model creates music from text prompts. The model creates all the music itself while using OpenAI's ChatGPT to generate lyrics and titles. Suno's newest model is still a few weeks from public release. A link to an example of a track generated by the AI model is available in the article.

OpenAI introduced a Read Aloud feature for ChatGPT, allowing it to verbally respond to users in 37 languages with five voice options and enhancing its multimodal capabilities and usability for on-the-go interactions across web and mobile platforms.

A Pew Research Center survey indicates ChatGPT usage among U.S. adults has increased from 18% to 23% since July 2023, with upticks in occupational, educational, and entertainment contexts. Young adults and those with higher education are more likely to use ChatGPT. Reflecting general wariness about AI and politics, 40% of Americans distrust election information from ChatGPT. Despite tech companies' efforts to combat AI-generated misinformation, only 2% of Americans have used ChatGPT to seek election-related facts.

As AI-powered chat programs like ChatGPT and others become prominent, marketers need to prepare for negative brand mentions in search queries. Tracking how large language models perceive brands and measuring "share of model" will become crucial. Marketers will need to optimize content to align with model preferences and establish metrics comparable to traditional marketing indicators.

ChatGPT is now instantly accessible without signup.

As people are increasingly turning to LLMs to search for product information, companies are becoming more concerned about how these LLMs perceive their brand. While companies can’t change what the models already “know” about the brand, they can put out new content in hopes of ensuring positive associations of their brand names within AI language models. Right now, that exposure happens mainly when a model is trained using a huge compressed version of all the content on the internet.

This post provides a templated prompt for ChatGPT that generates email copy in the exact structure you want the output to be in.

ChatGPT works by predicting the next most likely word. After ChatGPT receives text, it breaks down the text into tokens. These tokens are converted into numerical vectors that represent their meaning and relationships to other words. The vectors, called embeddings, are multiplied by a massive matrix of weights (parameters) that have been learned during the training process. The result of the multiplication is a probability distribution over possible next words. ChatGPT samples a word from this distribution to continue the text.

3 templated ChatGPT prompts for identifying target personas, understanding what they care about, and creating prospecting emails.

In this article, OpenAI's Evan Morikawa provides insights into ChatGPT's inner workings, covering input text processing and tokenization to prediction sampling using large language models. ChatGPT operates by turning tokens into numerical vectors (embeddings), multiplying them by a weight matrix of billions, and selecting the most probable next word. The tech is grounded in extensive pretraining to predict text based on vast internet data.

OpenAI has announced a live stream event scheduled for May 13 to present updates related to ChatGPT and GPT-4, possibly including the launch of an AI-powered search engine.

OpenAI has signed a deal that will grant it access to real-time content from Reddit's data API. The deal will allow OpenAI to surface discussions from Reddit within ChatGPT and other products and enable Reddit to bring new AI-powered features to users and mods. OpenAI has also signed up to become an advertising partner on Reddit. It is unclear what the financial terms of the deal are and whether it involves access to training data.

Reddit and OpenAI have announced a strategic partnership that aims to revolutionize user interactions with online communities through AI-powered features. OpenAI will gain access to Reddit's Data API, enhancing ChatGPT with real-time, relevant information from Reddit's vast content.

ChatGPT is introducing better data analysis features for its premium users, which include directly uploading files from Google Drive/OneDrive, interacting with charts and tables, and customizing charts for presentations.

Many new AI businesses are wrappers around existing LLMs like ChatGPT, especially in the content marketing space. While there are promising applications of AI, these wrapper businesses are not among them, as they often produce generic, unoriginal content.

An issue that appeared to be linked to Bing's API caused several services, including ChatGPT, Copilot, and DuckDuckGo, to stop working on Thursday morning.

Distilling any topic into 3 things makes it more memorable, while also making the content clear and concise. First, reframe your topic into a question. Next, use abstraction laddering to anchor it to a bigger question that more people can relate to. Finally, put your topic into 3 lists: 3 reasons why your topic matters, 3 categories that will help target the audience, and 3 extra tips. This document includes templated ChatGPT prompts to make this process easier.

OpenAI has signed licensing deals with The Atlantic and Vox Media, allowing their content to train its AI models and be shared in ChatGPT with proper attribution.

OpenAI has signed PwC as its largest enterprise customer for ChatGPT, covering 100,000 users. PwC is the first partner to resell OpenAI's enterprise offerings.

Pliny the Prompter posted a jailbreak for OpenAI's newest foundation model, GPT-4o, just a few hours after it was released. The jailbreak allowed users to get the model to output explicit copyrighted lyrics, instructions for making banned items, strategic plans for attacks, and medical advice based on X-rays. Pliny has been finding jailbreaks for leading large language models for around 9 months. This article contains an interview with the prompter where they discuss what motivates them, their approach to jailbreaking a new model, legal ramifications from AI jailbreaking, jailbreaking ethics, and more.

Apple and OpenAI have forged a partnership to integrate OpenAI's ChatGPT into iOS. The agreement will be a key focus of Apple's Worldwide Developers Conference next week. The partnership is likely a short- to medium-term relationship for Apple, which is developing its own AI features. Apple is still in talks with Google about using Gemini in its devices. The company is also looking beyond chatbots - it is currently working on a mobile robot that can follow users around and handle chores on their behalf and AI features for its AirPods and cameras.

A startup lost $10,000 due to a single mistake in its code that was generated by ChatGPT. This bug caused a unique ID collision in its subscription process, preventing new users from signing up. Its backend setup had multiple instances, which masked the problem during the day due to frequent deployments but caused it to surface at night when deployments stopped.

Apple announced at WWDC 2024 that it is integrating ChatGPT into a variety of native experiences on iOS devices. It plans to eventually expand to use voice and other capabilities.

Apple and OpenAI's partnership isn't expected to generate meaningful revenue for either party, at least at the beginning. Apple believes that pushing OpenAI's brand and technology to its devices is of equal or greater value than monetary payments so it isn't paying OpenAI as part of the deal. The deal isn't exclusive - Apple is already discussing offering other chatbots as additional options. Apple eventually plans to make money from AI by striking revenue-sharing agreements with AI partners.

Apple and OpenAI have forged a partnership to integrate OpenAI's ChatGPT into iOS. The agreement was a key focus for Apple's Worldwide Developers Conference. The partnership is likely a short- to medium-term relationship for Apple, which is developing its own AI features. Apple is still in talks with Google about using Gemini in its devices. The company is also looking beyond chatbots - it is currently working on a mobile robot that can follow users around and handle chores on their behalf and AI features for its AirPods and cameras.

Apple and OpenAI's partnership isn't expected to generate meaningful revenue for either party, at least at the beginning. Apple believes that pushing OpenAI's brand and technology to its devices is of equal or greater value than monetary payments so it isn't paying OpenAI as part of the deal. The deal isn't exclusive - Apple is already discussing offering other chatbots as additional options. Apple eventually plans to make money from AI by striking revenue-sharing agreements with AI partners.

Elon Musk responded to Apple's integration of OpenAI ChatGPT on some of its devices by threatening to ban all Apple devices from the premises of his companies.

Apple's WWDC revelations highlight its strategic positioning in AI with a focus on privacy and security and employing in-house chips and a zero-trust architecture in its Private Cloud. Apple's AI integrates OpenAI's ChatGPT for tasks beyond its scope, with a business model where AI suppliers may financially contribute to access Apple's user base. Apple's approach to privacy could leverage upcoming regulations as a competitive advantage, aligning with its commitment to user privacy and potentially reinforcing its dominance in tech.

There may be a potential decrease in demand for junior developers due to the rise of AI-powered coding assistants like ChatGPT. Junior developers should focus on learning fundamentals like algorithms, data structures, and system design, rather than just programming languages. They should also learn to work well with AI assistants, as senior developers who can effectively guide and review AI-generated code will eventually be more valuable.

Apple is segmenting its AI approach, differentiating between 'context' and 'world' models, with the latter, such as ChatGPT, being used for open-ended queries but without personal context. OpenAI's position is not highly defensible, given the lack of moats in large language models (LLMs) and the rise of competing models. Apple's strategy suggests a commoditization trend for LLMs that leverages on-device capabilities and private cloud to provide AI features while viewing services like ChatGPT as interchangeable components.