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T-Mobile’s Live Translation AI Agent Will Be Baked Into Your Phone Calls

If you need to communicate in another language, T-Mobile’s network can translate as you talk. And you don’t need special phone hardware to do it.

The last few years have brought a new kind of high-tech convenience to our devices: Many phones can now translate conversations in real time, without a human translator in the middle. Using the Google Translate app on an Android phone or Apple AirPods Pro 3 connected to an iPhone, it’s possible to overcome language barriers. 

But not every person owns a phone that can support live translation, or has the time or bandwidth to install an app (and maybe commit to a subscription).

T-Mobile wants to remove any obstacles that stand in the way of you talking to someone on a phone call. It has live translation at the network level, so even if you own a basic dumb phone, you can talk to someone who speaks one of over 50 languages with the help of T-Mobile’s network AI agent.

Starting today, T-Mobile is opening up registration for a beta of its upcoming Live Translation call feature, which will begin testing in the spring. It’s open to subscribers of any post-paid T-Mobile plan, such as the Essentials, Experience More, Experience Beyond and Better Value plans.

«We want to make voice cool again,» said John Saw, T-Mobile chief technology officer, citing that its customers make 6 billion international calls per year, and 40% of those people travel internationally. «Live translation is a real breakthrough in innovation by introducing the latest AI models into our voice network.»

Just as it did during the beta of what became the T-Satellite service, T-Mobile has not yet decided which plans will include the live translation calling feature. It also hasn’t decided what, if any, cost there will be. T-Satellite is currently included in the Experience Beyond and Better Value plans and available on other plans as a $10 add-on. It’s also open to customers of other providers for $10 a month.

I haven’t tried T-Mobile’s live translation but I look forward to testing it soon.

How live translation will work

To turn on live translation during a call, the T-Mobile subscriber presses *87* (star-eight-seven-star), which activates the AI agent. Only one participant on the call needs to be a T-Mobile subscriber, and it will also work when the customer is roaming.

T-Mobile says there’s no setup, no voice training and no need to specify which languages to translate. The AI agent detects which languages are being spoken in real time and speaks the translation when a person stops speaking.

The AI agent will also detect whether you’re calling from another country and select a language for the translation. If you call someone in Brazil, it might choose Portuguese, for example. If the person speaks a different language, such as Spanish instead of Brazilian Portuguese, the agent will switch immediately.

Also, the spoken translation will not sound like a robotic voice. «Our AI model can actually clone your voice in another language and preserve the intonation, the emotions and the rhythm as well,» all picked up on the fly, said Saw. He attributes the performance to the low latency inherent in T-Mobile’s 5G Advanced network.

Once activated, the feature doesn’t need to be turned off. If both speakers switch to the same language, the AI agent just stops working as the go-between.

The true test will be the quality of the translations. «We have done a lot of benchmarks for AI-powered translations,» Saw said, «and it matches the accuracy of all the established services.» He said the model is compliant with FCC 2027 captioning guidelines and meets all ADA accessibility standards.

When I asked Saw whether conversations are recorded, even during the beta period, he said that kind of fine-tuning is being done using millions of internal-only test calls. «We don’t listen to customers’ calls, and [the AI models] are not trained on customers’ data,» said Saw, noting that the service meets all FCC guidelines for privacy.

Exactly which AI translation models are being used, or which partner companies are providing them, is something Saw declined to share. He did confirm that T-Mobile is working with several AI companies, but «we’re not going to name them because we love them all the same.»

Saw noted that the way T-Mobile’s network is designed as a platform has the advantage of being able to plug in updated AI translation models, run an upgrade overnight and make it available to hundreds of millions of phones.

Live translation is just the first T-Mobile agentic AI feature

All major mobile providers are applying AI at various levels. AT&T recently announced AI tech for optimizing internet traffic at the home router level, for example, and Verizon is enlisting Google’s AI to improve its customer service experience. T-Mobile itself uses AI to automatically redirect cellular load among towers during emergencies.

Without pointing to specific upcoming strategies, Saw named a few other tasks that AI agents could handle in the future, such as an AI receptionist or AI concierge. Centering the AI technology in the network opens up those possibilities.

So why is the company choosing live translation as the first entry for AI-based, customer-facing network features?

«Live translation is not an easier solution to do,» Saw replied, «but it’s the right pain point to be solving today.»

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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