In May, I asked Google's chatbot, Gemini, to write a birthday letter to my best friend. Within seconds, it spat out the most impressive piece of AI writing I have ever encountered. Instead of reading as soulless, machine-generated text, the letter felt unnervingly like something I might've actually written. "You're probably rolling your eyes," the letter read, after a sentence that my friend would most definitely have rolled his eyes at. All I had typed into the chatbot was a nine-word prompt containing my friend's first name and the age he was turning.

It's been a Mac-heavy week! The Mac mini, in particular, looks like it'll be a huge hit for anyone who needs a simple desktop system. Also, we dive into why Apple is pushing for every Mac to get 16GB of RAM at a minimum. That will benefit all users, even if they don't care about Apple Intelligence. Listen below or subscribe on your podcast app of choice. If you've got suggestions or topics you'd like covered on the show, be sure to email us or drop a note in the comments! And be sure to check out our other podcast, Engadget News! Regulators force Lyft to tell U.S. drivers accurate numbers of how much money they'll make – 45:30 This week, I'm joined by our podcast producer, Ben Ellman. Kind of a light ship this week because a lot of people are out. Everyone's on taking some break and a lot of people are just busy at Engadget. So it's just going to be us. But we've got a lot of news to dive into all of Apple's new Macs with M4 chips, the M4 Pro and M4 Max as well, that they all just announced this week. There's a lot of new stuff and I'm excited to talk about it as always, folks. So if you're enjoying the show, please be sure to subscribe to us on iTunes or your podcatcher of choice. Leave us a review on iTunes. And also, yeah, you can join us Thursday mornings, typically around 1045 AM Eastern on our YouTube channel for our live stream so we can do some Q& A. In fact, we'll be including some of those questions and our answers later in this episode as well. Ben, you are somebody who I know is fully in the Mac ecosystem, and I also know you're very conscientious. Well, unfortunately, or for what you do, you're kind of there, but you're also very conscientious about how you upgrade, right? How did you feel about all these new Macs? Because we have the M4 iMac, we have an adorable new Mac mini, which is tiny, absolutely tiny, and M4 chips on the MacBook Pros. Is anything particularly compelling to you? Ben: So as I was reading up on the Mac, All of the stuff they released this week. That chip is four years old now. Ben: cut me like a knife. But that is M1 Classic, not M1 Pro. My research says that the M1 Pro is only two times slower than this new M4 Pro. Please fact check me on this. Send us an email at podcast adding gadget. If I didn't get that right. Devindra: I mean, you, you bring up a good point though, Ben, be sure to be very clear about what Apple is comparing its devices to, right? Because they often go back to base M1, which. Was released at the end of 2020 2020. It took a full year before we got the M4 Pro and M4 Max chips, right. Before they really expanded the line. Ben: you mean M1 Pro and M1 Max. So remember that there was that time difference when they, they just dropped the M1 on us and that was on the MacBook Air, MacBook Pro 13 inch, which was a fricking waste of time and the Mac mini, I believe back then, right.

A year ago, the US government introduced chip sanctions aimed at hobbling China's ability to develop advanced artificial intelligence. But those sanctions had loopholes that allowed Chinese firms to keep buying and building chips used to train some of the world's most advanced AI algorithms. Today, the US announced it is tightening controls to try to close those gaps. The new restrictions, announced by the Commerce Department, also impose new rules for reporting the sales of other types of advanced chips, new controls on sales of advanced chipmaking equipment and design software, and statutes to prevent Chinese companies from obtaining chips through foreign subsidiaries. "This is a doubling down by the Biden administration on the goals of last year's export controls," says Gregory Allen, who is director of a center for advanced studies at the Center for Strategic and International Studies and supports the restrictions.

As a data scientist or machine learning engineer, you spend much of your time improving a model's performance by creating new features, comparing different types of models, trying out new model architectures, and much more. In the end, it's the score on the test set that counts, so that is what you focus on when deciding on a model. However, as important as the model performance may be, there are other, secondary criteria you shouldn't forget about. What do you get from a model with almost perfect scores, if your MLOps department can't host it? How does the user feel, if the prediction is accurate, but it takes ages to get it?

It runs factories, controls transportation networks, and defines the way we interact with personal devices. It is estimated that somewhere in the neighborhood of 2.8 trillion lines of code have been written over the last two decades alone.a Yet it is easy to overlook a basic fact: people have to write software--and that is often a long, tedious, and error-prone process. Although low-code and no-code environments have simplified things--and even allowed non-data scientists to build software through drag-and-drop interfaces--they still require considerable time and effort. Over the last several years, various systems and frameworks have appeared that can automate code generation.

In 2022, the AI boutique movie became a blockbuster. It took exactly ten years for the modern AI story to transform from the new new thing for a bunch of geeks to popular entertainment for the masses. In 2022, AI conversationalist ChatGPT signed up more than one million users in 5 days and AI image generator Midjourney amassed 6 million members in less than 6 months. The 2012 deep learning breakthrough in image identification convinced many computer science PhD candidates to switch their dissertation work to the new superior method for finding patterns in data. Even more important, the entire "Silicon Valley" community fell for the hype created by this new phase of the six decades-long quest for replicating human intelligence in a computer.

This time of year, all the cute Christmas decor and ornaments are out, which makes trips even more fun. Shopping on its website isn't as fun, sadly, but it's still packed full of holiday sales. Target Black Friday deals have been live for almost every day of the month, but several discounts are even sweeter now. Updated on November 25, 2022: We've added deals like Theragun Prime and a few laptops. We test products year-round and handpicked these deals. Products that are sold out or no longer discounted as of publishing will be crossed out . We'll update this guide throughout the Black Friday and Cyber Monday weekend. If you buy something using links in our stories, we may earn a commission.

HONG KONG--Nvidia Corp. has begun offering an alternative to a high-end chip hit with U.S. export restrictions to customers in China, after the new rules threatened to cost the American company hundreds of millions of dollars in lost revenue. Nvidia said the new graphics-processing chip, branded the A800, meets U.S. restrictions on chips that can be exported to China under new rules rolled out last month. The chip went into production in the third quarter, the company said. The A800 replaces the A100, a chip widely used in servers and artificial-intelligence applications by China's tech giants including Alibaba Group Holding Ltd., Tencent Holdings Ltd. and Baidu Inc. According to a memo Nvidia sent to its channel distributors last Thursday, the A800 has the same computational performance but a narrower interconnect bandwidth, the capacity of a chip to send and receive data from other chips, crucial for training large-scale AI models or building supercomputers.

Stability AI, the company behind Stable Diffusion, is trying to democratise AI and use its potential to'awaken humanity's potential'. However, if you have closely followed the AI ecosystem over the past few years, this might give you a sense of déjà vu. In 2015, Sam Altman and Elon Musk announced the formation of OpenAI, a non-profit company with similar motives – to democratise AI and open its research and models to the public. However, DALL-E2, by OpenAI, is not open-source; the company charges its users. Hence, with Stability AI in the picture, it made many of us wonder if Stability AI will toe the OpenAI line.

The pace of change in telecommunications is increasing every year. A case in point is the rapid research and development of 6G technologies when 5G has not even been fully implemented across Australia. But UNSW expert, Dr. Shaghik Atakaramians, says progress is vital as people and businesses become ever more dependent on fast and reliable transfer of data. "In the next 10 years, we can expect massive changes and new technologies coming into our lives which will require more and more connectivity at higher speeds as we transfer more and more data," says the Senior Lecturer in the School of Electrical Engineering and Telecommunications. "We can imagine completely autonomous systems; or multi-sensory extended reality which integrates the five traditional human senses with the digital world; or real-time remote telesurgery; or complete virtual shopping malls. "These sound like something out of science fiction, but they are potentially possible with 6G technology whereas they could not be feasible using current 5G standards.