Technologies

Bishop Takes Rook: You’ll Be Able to Learn Chess on Duolingo Soon

The course is in beta now but will be available to everyone in a few months.

«Hola, ajedrez» means «Hello, chess» in Spanish. You’ve always been able to learn Spanish on Duolingo. And you’ll be able to learn and practice chess on the language learning app soon. Duolingo announced on April 22 that beta testers can practice the centuries-old board game in Duolingo now, and others will be able to learn the game on the app in a few months.

Chess will be the first new Duolingo course since the app began offering math and music lessons in 2023. And Duolingo hopes that to bring the classic board game to more people of all experience levels.

Duolingo chess lessons aim to be friendly to beginners

I spoke with a Duolingo rep about the upcoming lessons. He said the company wants to continue expanding what people can learn through the app, and chess was an early contender.

Chess is «one of those things that … any age group can learn … but then also something that takes the 10,000-hour theory to really master,» Edwin Bodge, a senior product manager with Duolingo, said. «We thought it would fit with the Duolingo medium really well.»

When I asked why people would use Duolingo over other chess learning sites and tools, Bodge said a lot of other chess content is geared toward advanced users, not newcomers. «We really saw a great opportunity to try and cater to more of a beginner, medium (player) and try and increase access to the game,» he said.

The chess lessons are slightly different from others you might find on Duolingo, like Spanish and math, but the progression system is similar. And from what Duolingo showed me, the lessons really do start at square one, or A1 on a chessboard.

Chess lessons feel similar to other Duolingo lessons

When you start, Duolingo asks how much you already know about chess, like in other lessons on the app. Duolingo will then adjust the lessons according to your response. If you say you’re brand-new to chess and have no knowledge of the game, early lessons will focus on how each piece moves before moving on to capturing other pieces and checking the king. Other lessons are similar to mini-puzzles where you might be asked to capture different pieces using a single piece, like your knight or rook, in four moves or fewer.

You can access hints for each lesson, but if you get something wrong, your opponent will react to show you you’ve left a piece open for capture, like in a real match. And if you keep getting something incorrect, Duolingo will show you what to do. «If you get it wrong multiple times, eventually we’ll show you an arrow that shows you exactly where to move,» Sammi Siegel, a software engineer with Duolingo, said.

If you are subscribed to Duolingo Max and make a mistake in a language lesson, the app can explain the mistake — and what the right solution is — with a feature called Explain My Answer. However, that feature won’t be available with the chess lessons for now. It’s not always easy to explain why something is right or wrong in chess because there are so many millions of different moves.

«We want to get better at fuller explanations,» Siegel said. «There is some mix of AI and model training that we’re hoping to use to better explain why a certain move is wrong.» Because there are so many moves in chess, it’s possible to make moves that could be correct but aren’t the best options. In such instances, Duolingo will show a banner that lets you know that a move isn’t wrong but isn’t necessarily the best move.

Duolingo also said each section represents a range on the Elo rating system, the method by which a chess player’s skills are calculated. As you progress, your lessons will be tougher and more challenging. This is similar to the CEFR language proficiency levels attached to the different language sections in the app.

You’ll also have the opportunity to have «mini-matches» or full-on games against Duolingo’s chess coach, Oscar. These matches will scale in difficulty to challenge you as well, so you aren’t facing a grandmaster-level chess player after your first week of playing the game. But that doesn’t mean you can slack off and play sloppily. If you make a mistake, like leaving your queen open to capture, Oscar will take advantage and leave you scrambling to recover.

While playing against Oscar is good practice, you won’t be able to face off against other players when these chess lessons launch. But Duolingo said matches against other people are something they are looking into, so you might be able to play against a friend over the app in the future. «One of the big reasons why we’re doing this is we think we can get a whole generation of people interested in chess,» Bodge said.

Duolingo’s new chess lessons are now available in the beta version now and will start rolling out on iOS in English in May. Duolingo said it is working to bring these lessons to Android devices and more languages in the coming months.

For more on Duolingo, check out how well the free version prepared me for a trip to Italy and our review of the language learning app. You can also check out our best language learning apps.

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

Technologies

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

Technologies

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.