We prove that all standard subregular language classes are linearly separable when represented by their deciding predicates. This establishes finite observability and guarantees learnability with simple linear models. Synthetic experiments confirm perfect separability under noise-free conditions, while real-data experiments on English morphology show that learned features align with well-known linguistic constraints. These results demonstrate that the subregular hierarchy provides a rigorous and interpretable foundation for modeling natural language structure. Our code used in real-data experiments is available at https://github.com/UTokyo-HayashiLab/subregular.

Many psychologists and psychiatrists have shared the vision, noting that fewer than half of people with a mental disorder receive therapy, and those who do might get only 45 minutes per week. Researchers have tried to build tech so that more people can access therapy, but they have been held back by two things. One, a therapy bot that says the wrong thing could result in real harm. That's why many researchers have built bots using explicit programming: The software pulls from a finite bank of approved responses (as was the case with Eliza, a mock-psychotherapist computer program built in the 1960s). But this makes them less engaging to chat with, and people lose interest.

It's the first official smartphone app for the chatbot, joining a crowded field of third-party mobile AI software which also taps into the GPT-3.5 and GPT-4 APIs powering ChatGPT. It also allows switching between standard and GPT-4 language models for ChatGPT Plus subscribers, as well as conversation history (synced from your the desktop if you sign in with the same account) and the ability to export data and delete or rename conversations. It's only available in the US for now, but the company says it will expand to additional countries "in the coming weeks." At the same time, there are reports some tech companies are wary of staff using AI chatbots. In early April, The Economist Korea reported three Samsung employees shared confidential information with ChatGPT.)

A new AI-generated chatbot named ChatGPT is now raising ethical concerns regarding copywriting and plagiarism. AI-generated profile pictures from apps like Lensa AI have also become a viral sensation, and they, too, have faced criticism; artists are accusing the tech of forgery and theft, one of many conversations about how AI art has the potential to devalue work made by humans. No matter your stance on generative AI, one thing is clear: It will only continue to evolve, and as it does, its impact across business sectors is likely to be huge. Generative AI, as the name suggests, leverages artificial intelligence models to create various types of content, including images, code and text. The technology draws from existing data and content, as well as machine learning to predict the next word based on previous word sequences or to create an image based on words describing other images.

Several months after launching DALL-E 2 as a part of a limited beta, OpenAI today removed the waitlist for the AI-powered image-generating system, which will remain in beta but let anyone sign up and begin using it. Pricing will carry over from the waitlist period, with first-time users getting a finite amount of credits that can be put toward generating or editing an image or creating a variation of existing images. "More than 1.5 million users are now actively creating over 2 million images a day with DALL-E -- from artists and creative directors to authors and architects -- with about 100,000 users sharing their creations and feedback in our Discord community," OpenAI wrote in a blog post. "Learning from real-world use has allowed us to improve our safety systems, making wider availability possible today." OpenAI has yet to make DALL-E 2 available through an API, though the company notes in the blog post that one is in testing.

It's been just a few weeks since OpenAI began allowing customers to commercially use images created by DALL-E 2, its remarkably powerful AI text-to-image system. But in spite of the current technical limitations and lack of volume licensing, not to mention API, some pioneers say they're already testing the system for various business use cases -- awaiting the day when DALL-E 2 becomes stable enough to deploy into production. Stitch Fix, the online service that uses recommendation algorithms to personalize apparel, says it has experimented with DALL-2 to visualize its products based on specific characteristics like color, fabric and style. For example, if a Stitch Fix customer asked for a "high-rise, red, stretchy, skinny jean" during the pilot, DALL-E 2 was tapped to generate images of that item, which a stylist could use to match with a similar product in Stitch Fix's inventory. "DALL-E 2 helps us surface the most informative characteristics of a product in a visual way, ultimately helping stylists find the perfect item that matches what a client has requested in their written feedback," a spokesperson told TechCrunch via email.

Heinz has proved that even computers prefer its ketchup with a marketing stunt that had OpenAI's Dall-E 2 generator create a series of sauce-inspired images. Apparently, when the team fed the software random ketchup-related phrases, the results were overwhelmingly plastered with elements of Heinz' signature branding. We have to say, this AI art is some of the least weird we've seen, even with the ketchup bottle floating in a swimming pool. A perfect follow-up to the campaign that had people draw their own impressions of ketchup (this was hilarious, ketch-up on it right here), the experiment simply proved that Heinz is synonymous with ketchup, whoever (or whatever) you ask. Of course, the iconic logo had a big part to play (it's so good, it should be in our best logos list) – but so did that shade of red, and the bottle shape.

New York (CNN Business)The machines are officially winning. Investors who've relied on a standard 60/40 portfolio this year have taken a bath as stocks and bonds have tumbled. Even gold, the go-to safe haven in volatile times, is underperforming. But for a small subset of specialized hedge funds known as quants, the chaos of 2022 has unleashed a windfall. While the S&P 500 is down more than 13% this year, quant hedge funds -- which rely on complex mathematical models to make investing decisions -- are up more than 15%, according to HFR, a hedge fund research group.

The ocean is essential to the livelihoods and food security of billions of people around the globe. Shipping, tourism, transport, fisheries, oil and gas, renewable energy all depend on the sea. Two years ago, economists put a dollar value on what our oceans are worth and came up with $24 trillion. If it were a country, the sea would be the seventh-largest economy on the planet. "When you look at the blue economy, it has an asset value of $24 trillion and that's delivering something between $4-500bn each year in terms of the dividend to humanity," says Professor Ove Hoegh-Guldberg, director of the Global Change Institute.