Say what you will about AI (and I’ve said plenty) but the progress in transcription and speech-to-text software is genuinely impressive. Whereas before such software was either clumsy or expensive, there are now all kinds of great open source tools that work well.

Which brings me to Pipit, a free Mac dictation app that works offline, meaning it’s totally private. Even more interesting, it can be used to do more than just transcribe speech—it can launch apps, toggle settings, and even launch a web search or query an AI service.

The first time you open the application, it will ask for permission to use your microphone before downloading the Parakeet model for offline transcription. Once everything is set up you can use the application by pressing and holding the Option key, then talking—the application will record what you say, turn that into text, and paste the text into the currently active text field.

I’ve been trying this for a couple of days and find that the transcriptions are generally pretty accurate, complete with punctuation. There is optional post-processing, which can turn unstructured speech into a properly formatted document, but using that requires an OpenRouter API key.

The settings window lets you change the trigger key, choose an input device, and toggle the menu bar icon. There’s also a tool for transcribing audio files, complete with speaker identification. Just drag over a file and you get a transcription.

The uploads screen for Pipit, allowing you to transcribe audio files.
Credit: Justin Pot

Finally, on the Enhance tab, you can enable the Quick Actions feature. This allows you to verbally tell your computer what to do and see it happen. To use this, start transcription as normal, but say something like “open Safari” to open an app or “ask Claude” followed by a question to launch a conversation with that AI assistant in your browser. It’s a little gimmicky, granted, but I enjoyed using it.

The voice commands you can use with Pipit, as seen in the settings.
Credit: Justin Pot

It’s excellent that tools like this are broadly free now, and Pipit has an interesting collection of features.

OpenAI has debuted a dedicated ChatGPT-powered translation tool. While folks have been using the main chatbot for translation for some time, you can now find ChatGPT Translate on its own webpage, as Android Authority spotted. 

The tool can translate text, voice inputs and images into more than 50 languages in seconds, OpenAI says. There’s an automatic language detection function too.

Most interestingly, ChatGPT Translate can rewrite the output to take various contexts and tones into account, much in the same way that more general text-generating AI tools can do. With a single tap, it can rewrite the translation into something “more fluent,” for a business formal audience, to make it more child-friendly or for academic purposes. The tool’s webpage says ChatGPT Translate understands “tone, idioms and context.”

While those tone and context considerations are intriguing, ChatGPT Translate is a little underbaked compared with the likes of Google Translate — which has been around for decades and just got its own Gemini-based makeover with better support for understanding idioms and slang. The desktop version of ChatGPT Translate does not yet allow for voice inputs, though the mobile one does, as Android Authority notes. Despite claims that ChatGPT can translate text in an image, there’s currently no way to upload one to the tool. There’s no website, document or handwriting translation support as yet either. 

Perhaps most crucially, ChatGPT Translate lives on a webpage right now and there’s no dedicated app. So using it offline appears to be out of the question as things stand. No app with on-device translation support could make ChatGPT Translate a no-go for travelers in rural areas with no Internet access. There’s no support for translating real-time conversations as yet either. Google’s Pixel 10, on the other hand, now supports voice translations for calls.

It’s not exactly clear when ChatGPT Translate debuted — it arrived with zero fanfare from OpenAI. There’s a snapshot of the webpage from November on The Internet Archive’s Wayback Machine that looks just like the current one, but that may have simply been a case of OpenAI testing a live version of the tool. 

This article originally appeared on Engadget at https://www.engadget.com/ai/openai-quietly-rolls-out-a-dedicated-chatgpt-translation-tool-133000974.html?src=rss

Spotify is raising the prices for its premium subscriptions by $1 to $2 across the board, starting this February. Those are similar figures to the company’s last price hike in 2024. Subscribers across the US, Estonia and Latvia will soon receive an email, notifying them that they’ll be paying a larger amount for their February bill.

The streaming service said it’s raising its prices occasionally to “reflect the value that Spotify delivers,” “to continue offering the best possible experience” and to “benefit artists.” It reported last year that it paid out $10 billion to music rights-holders in 2024. However, it’s worth noting that several Grammy-nominated songwriters boycotted an awards event it hosted to protest the supposed decreasing royalties songwriters are getting from Spotify plays.

Subscribers who choose to keep their accounts will now have to pay $13 instead of $12 a month for an individual plan or $7 instead of $6 for a student plan. The Duo plan will now cost users $19 a month instead of $17, while the Family plan will cost them $22, up $2 from its previous price of $20. Meanwhile, those who decide to cancel their plans can follow our guide right here.

Spotify came under fire late last year for running recruitment ads for ICE. It said the advertisements were part of a larger campaign by the US government that ran across platforms, including Meta and Google. The company also recently confirmed that the campaign has ended that there are no ICE ads currently running on the service.

This article originally appeared on Engadget at https://www.engadget.com/entertainment/music/spotifys-getting-a-buck-more-expensive-in-february-132300118.html?src=rss

After reaching a proposed settlement last year, the FTC has banned General Motors from sharing specific consumer data with third parties, TechCrunch reported. The finalized order wraps up one of the more egregious cases of a corporation collecting its customers’ data and then using it against them. 

Two years ago, the New York Times report released a report detailing how GM’s OnStar “Smart Driver” program collected and sold detailed geolocation and driving behavior data to third parties, including data brokers. Those brokers in turn sold the data to insurance providers, which jacked up the rates for some drivers based on the data. “It felt like a betrayal,” said a Chevy Bolt owner that saw his insurance rise by 21 percent based on the data. “They’re taking information that I didn’t realize was going to be shared and screwing with our insurance.”

According to the terms of the settlement, GM is barred from sharing specific user data with consumer reporting agencies for a five year period. The automaker is also required to request user permission before collecting, using or sharing vehicle data with any third party. It must do that when a consumer purchases a car at a dealership, with the customer asked in person whether they agree or not with the data collection, GM said. 

Some of the settlement is moot as GM stopped its Smart Driver program for all brands in April 2024. The company unenrolled all customers and stopped its third-party relationship with LexisNexis and Verisk, the brokers that sold driver data to insurance companies. 

GM faced other actions over the data collection, including lawsuits from Texas, Nebraska and other states. “Our investigation revealed that General Motors has engaged in egregious business practices that violated Texans’ privacy and broke the law. We will hold them accountable,” said Texas AG Ken Paxton at the time. 

In a statement to TechCrunch, GM said: “The Federal Trade Commission has formally approved the agreement reached last year with General Motors to address concerns. As vehicle connectivity becomes increasingly integral to the driving experience, GM remains committed to protecting customer privacy, maintaining trust, and ensuring customers have a clear understanding of our practices.” 

This article originally appeared on Engadget at https://www.engadget.com/transportation/ftc-finalizes-gm-punishment-over-driver-data-sharing-scandal-130012313.html?src=rss

An anonymous reader quotes a report from TechCrunch: Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After pasting the problem into ChatGPT and letting it think for 15 minutes, he came back to a full solution. He evaluated the proof and formalized it with a tool called Harmonic — but it all checked out. “I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they struggle,” Somani said. The surprise was that, using the latest model, the frontier started to push forward a bit.

ChatGPT’s chain of thought is even more impressive, rattling off mathematical axioms like Legendre’s formula, Bertrand’s postulate, and the Star of David theorum. Eventually, the model found a Math Overflow post from 2013, where Harvard mathematician Noam Elkies had given an elegant solution to a similar problem. But ChatGPT’s final proof differed from Elkies’ work in important ways, and gave a more complete solution to a version of the problem posed by legendary mathematician Paul Erdos, whose vast collection of unsolved problems has become a proving ground for AI.

For anyone skeptical of machine intelligence, it’s a surprising result — and it’s not the only one. AI tools have become ubiquitous in mathematics, from formalization-oriented LLMs like Harmonic’s Aristotle to literature review tools like OpenAI’s deep research. But since the release of GPT 5.2 — which Somani describes as “anecdotally more skilled at mathematical reasoning than previous iterations” — the sheer volume of solved problems has become difficult to ignore, raising new questions about large language models’ ability to push the frontiers of human knowledge.
Somani examined the online archive of more than 1,000 Erdos conjectures. Since Christmas, 15 Erdos problems have shifted from “open” to “solved,” with 11 solutions explicitly crediting AI involvement.

On GitHub, mathematician Terence Tao identifies eight Erdos problems where AI made meaningful autonomous progress and six more where it advanced work by finding and extending prior research, noting on Mastodon that AI’s scalability makes it well suited to tackling the long tail of obscure, often straightforward Erdos problems.

Progress is also being accelerated by a push toward formalization, supported by tools like the open-source “proof assistant” Lean and newer AI systems such as Harmonic’s Aristotle.

Read more of this story at Slashdot.

On the first day of this year’s Mille Miglia, a voice rose from the crowds gathered on the shore of Lago di Garda to shout “no sound, no feeling!”at my Polestar 3. Italians love their cars, and they revealed a clear preference for internal combustion engines over the next four days and over 1,200 km of driving. But plenty of other spectators smiled and waved, and some even did a double-take at seeing an electric vehicle amid the sea of modern Ferraris and world-class vintage racers taking on this modern regulation rally.

I flew to Italy to join the Mille Miglia “Green,” which, for the past five years, has sought to raise awareness of sustainability and electric cars amid this famous (some might say infamous) race. And despite mixed reactions from the Italian crowds, our Polestar 3 performed quite well as it traced a historical route from Brescia to Rome and back.

The route snaked a trail through the Italian countryside based on the original speed race’s first 12 outings, but instead of going for overall pace, we spent five days competing against six other EVs for points based on time, distance, and average speed. Our team included a Polestar 2 and 4, and we faced a Mercedes-Benz G 580 with EQ Technology, an Abarth 600e, a Lotus Eletre, and a BYD Denza Z9GT saloon.

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The SpaceX Dragon spacecraft carrying the Crew-11 astronauts has splashed down into the ocean after they left the ISS a month earlier than planned due a medical issue. It’s the first time NASA cut a mission short due to a medical concern. The agency didn’t name the crew member and their condition but stated that they were stable and that it wasn’t a case of medical evacuation. NASA merely decided to end the mission early out of an abundance of caution, because the ISS didn’t have the tools for a proper diagnosis.

NASA astronauts Mike Fincke and Zena Cardman, JAXA’s Kimiya Yui and Russian cosmonaut Oleg Platonov — the members of Crew-11 — left for the space station on August 1 and were supposed to stay there until February. Despite the mission being cut early, they still stayed 167 days in space before they made their way back home. The Dragon capsule carrying the members splashed down off the coast of San Diego, California at 3:41AM on January 15. A SpaceX medical doctor was the first person who checked in on them, though that is routine procedure and not because of one member’s medical issue.

With Crew-11 back on Earth, there are now only three people aboard the orbiting lab. Two are Russian cosmonauts, while the other one is NASA astronaut Chris Williams. NASA is now looking at options to be able to send Crew-12 to the ISS earlier than its planned February 15 launch.

This article originally appeared on Engadget at https://www.engadget.com/science/space/iss-mission-splashes-down-after-medical-issue-103000302.html?src=rss

Games Workshop, the owner and operator of a number of hugely popular tabletop war games, including Warhammer 40,000 and Age of Sigmar, has banned the use of generative AI in its content and design processes. IGN reports: Delivering the UK company’s impressive financial results, CEO Kevin Rountree addressed the issue of AI and how Games Workshop is handling it. He said GW staff are barred from using it to actually produce anything, but admitted a “few” senior managers are experimenting with it. Rountree said AI was “a very broad topic and to be honest I’m not an expert on it,” then went on to lay down the company line:

“We do have a few senior managers that are [experts on AI]: none are that excited about it yet. We have agreed an internal policy to guide us all, which is currently very cautious e.g. we do not allow AI generated content or AI to be used in our design processes or its unauthorized use outside of GW including in any of our competitions. We also have to monitor and protect ourselves from a data compliance, security and governance perspective, the AI or machine learning engines seem to be automatically included on our phones or laptops whether we like it or not.

We are allowing those few senior managers to continue to be inquisitive about the technology. We have also agreed we will be maintaining a strong commitment to protect our intellectual property and respect our human creators. In the period reported, we continued to invest in our Warhammer Studio — hiring more creatives in multiple disciplines from concepting and art to writing and sculpting. Talented and passionate individuals that make Warhammer the rich, evocative IP that our hobbyists and we all love.”

Read more of this story at Slashdot.