Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

Discover (and save!) your own Pins on Pinterest.

SnapGPT is a text recognition tool that extracts text from photos and responds to inquiries about the text using OCR technology and the OpenAI GPT-3 API. Users can scan documents, menus, warranties, recipes, and webpages rapidly. They can also extract keynotes, obtain guidance, get summaries, and much more. Users can save their data on their device or share it with friends, and it is never kept online. There is a free trial accessible without a credit card.

Embeddings are simple to develop, test, and utilise in apps thanks to Metal, an enterprise-ready, fully-managed ML storage platform. It can accept bespoke embeddings, interface with numerous vector databases, and organise the employment of top models to generate embeddings. Moreover, it provides OpenAI Ada, which adds intelligence to text, and OpenAI CLIP, which links text and images. Save my name, email, and website in this browser for the next time I comment.

Tesla's first-ever "Investor Day," hosted by CEO Elon Musk and his leadership team at the carmaker's Gigafactory in Texas on Wednesday, didn't quite end up being the sweeping, transformative moment that Tesla fans and funders had anticipated. Not for lack of promise--the event was chock-full of ambition, like a new "Master Plan" to have Tesla lead the clean-energy transition by expanding its green-tech manufacturing into products like heat pumps and batteries for energy storage. Also teased: a Gigafactory buildout in Mexico, an improved Supercharger, and two potential new vehicle models. But it was apparently a letdown: Musk demurred when asked for hard details on new Tesla products, and the company's stock--still the primary driver of the CEO's wealth--fell by about 7 percent following the event. To judge by the internet's reception, the most notable moment happened not during the core presentation, but during a Q&A at the very end, when an audience asked Musk about the artificially intelligent elephant in the room: "I'm curious for your thoughts on how generative A.I. and these rapid breakthroughs in A.I. in the last months could help you make cars less hard to make." Musk's closing response made for the most sober, halting portion of the entire four-hour event.

It was only a matter of time before the culture wars came to AI. Since the release of ChatGPT in late 2022, Elon Musk has railed on Twitter against what he has called "Woke AI." He has specifically criticized ChatGPT's developer, OpenAI, for the features designed to prevent the chatbot from parroting racism and sexism. Now, the billionaire is courting AI researchers with a proposal to start a new AI company to rival the developer of ChatGPT, the tech news site The Information reported on Wednesday. "The danger of training AI to be woke--in other words, lie--is deadly," Musk tweeted in December.

The biggest tech story of the year is shaping up around the seemingly sudden arrival of AI chatbots into mainstream attention: piggybacking off last year's viral reception to text-to-image generators like DALL-E 2, the launch of OpenAI's ChatGPT in November has since spurred not only widespread media coverage and netizen adoption, but also an industry-wide arms race. Whatever polite corporate doffing made to AI's thicket of ethical ramifications over the past few decades disintegrated nearly overnight in favor of Silicon Valley's primal fear of competition, and we now live in a society where Microsoft's newly AI-powered Bing ("Sydney," to her friends), Google's Bard, Meta's LLaMA, and Snapchat's My AI (which at least allows you the dignity of naming your chatbot yourself) seem poised to transform us all. The AI future feels nigh, if not terribly optimistic. In an era where major breakthroughs in tech render either inscrutable--admit it, you still don't know what a blockchain is, do you?--or We're kind of used to it already: After spending the greater part of Web 2.0 accepting the sleight of hand that invisible, algorithmic forces exert on our day-to-day, the consumer-friendly AI-powered machinations of driverless cars and actually efficient task assistants and decent predictive-text features has become a foregone conclusion.

When OpenAI launched ChatGPT, with zero fanfare, in late November 2022, nobody inside the company was prepared for a viral mega-hit. It was viewed in-house as a "research preview," a tease of a more polished version of a two-year-old technology and a way to iron out some of its flaws. But then it absolutely blew up. The firm has been scrambling to catch up--and capitalize on its success--ever since. To get the inside story behind the chatbot--how it was made, how OpenAI has been updating it since release, and how its makers feel about its success--our senior AI editor Will Douglas Heaven talked to four people who helped build what has become the most popular internet app ever.

Audrey Kim's dog Murphy uses a combination of head nods and 10 buttons on the ground to communicate, she says, and has a habit of making friends with crows. She taught him to use the buttons because she believes consciousness is a spectrum and intelligence is mysterious. Those tenets also led her to become curator of the Misalignment Museum, a temporary exhibition about the future of artificial intelligence that opens today in San Francisco, ground zero for recent excitement about generative AI and chatbots like OpenAI's ChatGPT. The Misalignment Museum imagines a future in which AI starts to take the route mapped out in countless science fiction films--becoming self aware and setting about killing off humanity. Fortunately, in Kim's vision the algorithms self-correct and stop short of killing all people.