Flying: Duolingo's active users keep soaring

2/10/24 7:00PM

Baby bird

‍If you’ve ever been annoyed at having to prove you’re not a robot on a website, and you’ve been irritated by a Duolingo notification to get back to your lessons, you can direct your frustrations toward Luis von Ahn, a Guatemalan entrepreneur behind both. Having sold his online authentication software idea reCAPTCHA to Google for “somewhere between $10m and $100m” in 2009, von Ahn teamed up with one of his PhD students, the aptly-named Severin Hacker, to take on the world of education. Deciding they wanted to make language learning affordable, the pair founded Duolingo in 2011, drumming up $3.3m in funding from investors such as Tim Ferriss and Ashton Kutcher.

The platform didn’t launch to the public until June 2012, but ever since the app has soared in popularity, becoming the center of the modern language-learning universe. By leaning into bite-sized lessons, users are hooked in their millions into starting what is otherwise a daunting prospect: learning to speak, write, and maybe even think, in another language.

Saying the right words

‍After its launch, Duolingo picked up traction quickly, nudging towards the top end of the highly-competitive education charts on app stores. By 2014, the company closed a $20 million Series C round, having picked up 25 million registered users. Fast forward a decade, and those milestones look almost petite, with registered users growing to over 500 million by the end of 2020, when we all had newfound time to pursue long-postponed goals for self-betterment.

But, even more impressive, perhaps, is the share of ‘Lingo heads who use the app regularly, with 83 million people actively choosing to reckon with reflexive verbs at least once a month, and more than 24 million doing the same every day, per the company’s latest figures. So, how did Duolingo win in a space that’s so competitive? They made learning fun… and addictive.

Rani Molla5s

Meta to lay off 8,000 employees, move 7,000 to new initiatives related to AI

On Wednesday, Reuters reported Meta plans to lay off about 8,000 employees in three batches and move another 7,000 employees to “new initiatives related to AI workflows.” The company also plans to “eliminate managerial roles,” though Reuters did not specify how many.

Reuters had previously reported the number and date of the layoffs, but details of the restructuring come from a new internal document from the company’s head of human resources. The cuts come as Meta tries to balance its enormous capex budget of $125-$145 billion this year, as it builds out its AI infrastructure.

As of the company’s last earnings report, its headcount was 77,986.

Exclusive: Meta lays out plans for May 20 layoffs, restructuring, internal document says

As of the company’s last earnings report, its headcount was 77,986.

Rani Molla5h

Google employees are now competing with Anthropic and Meta for access to Google compute

Google built its reputation as a paradise for ambitious researchers: a place where smart people got massive resources and freedom to experiment.

But in the AI era, the physical infrastructure that powers those breakthroughs is maxed out, and even Google’s own employees are reportedly struggling to get enough computing power.

According to Bloomberg, the bottleneck comes down to hardware. Google’s custom-built AI chips — tensor processing units, or TPUs — are in such high demand that internal researchers say they’re effectively competing for rack space against massive, paying cloud customers like Anthropic and Meta. Frustrated by the bureaucracy of fighting for server time, top engineers are jumping ship to launch their own startups, arguing they can secure more reliable access to infrastructure on the open market than inside the company that actually builds it.

In other words: Google became so successful at selling AI infrastructure that its own researchers now have to justify experimental projects against revenue-generating workloads and a more than $460 billion backlog of paying tenants.

Google’s Own AI Researchers Jockey for Access to Its Computing

$420

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Elon Musk once promised to take Tesla private at $420. More recently, he’s been offering xAI employees $420 to hand over their private tax returns as training data for Grok, Bloomberg reports, citing internal chats. In an effort to boost the chatbot’s tax-prep capabilities, the company asked employees — as well as friends and family — to submit completed tax returns in exchange for cash that, two months later, still hasn’t materialized. xAI is owned by the soon-to-be-public SpaceX.

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EY retracts report with apparent AI hallucinations

Consulting firm EY has retracted a report on travel loyalty points that an AI watchdog had found was full of hallucinations.

AI-detection firm GPTZero alleged that the report was “riddled with hallucinations,” including citing numerous sources that didn’t appear to exist. Sherwood News exclusively reported on GPTZero’s findings about the report on Thursday. EY didn’t respond to multiple requests for comment.

The firm later told the Financial Times that it had retracted the report, saying it was “reviewing the circumstances that led to this article’s publication.” It said the study wasn’t connected to work for any of its clients.

“EY Canada takes the accuracy of all the content we publish seriously and we have an organization-wide commitment to the responsible use of AI,” EY said, according to the FT.

A link to the report on EY’s site now displays an error: “Oops! We couldn’t find the page you were looking for.”

AI hallucinations appear to be creeping into consulting reports

“EY Canada takes the accuracy of all the content we publish seriously and we have an organization-wide commitment to the responsible use of AI,” EY said, according to the FT.

A link to the report on EY’s site now displays an error: “Oops! We couldn’t find the page you were looking for.”

Rani Molla7h

Elon Musk expects Tesla Robotaxis to be “widespread” in the US by the end of the year

After an uncharacteristically clear-eyed earnings call where Elon Musk was cautious about the timing of the company’s many ambitious goals, the Tesla CEO is back to making his usual unlikely predictions:

“We already have some vehicles operating with no people inside and no safety monitors in three cities in Texas, and it probably will be widespread in the US by the end of this year,” Musk said by video at the Smart Mobility Summit in Tel Aviv on Monday. It’s a prediction Musk has made before, but that doesn’t mean it’s going to happen.

Tesla’s expansion of its Robotaxi service, which launched nearly a year ago, has been painstakingly slow. The vast majority of the Robotaxis — more than 500 in the Bay Area — have a person behind the wheel using a version of Supervised Full Self-Driving. In Austin, 12 of the 40 Robotaxis have been spotted driving unsupervised in the last week, according to Robotaxi Tracker. There are two more each in Dallas and Houston. Alphabet’s Waymo, by comparison, is already operating more than 3,000 of its driverless vehicles in cities across the country.

“Initially, we’re taking a very cautious approach to the rollout here,” Musk had said on the last earnings call, estimating the service would be in a dozen states by the end of the year. Today he was more bullish, estimating that in 5 or 10 years, “90% of all distance driven will be driven by the AI in a self-driving car.”

Here is Elon Musk's full interview tonight from the Samson International Smart Mobility Summit in Israel.

Elon talks about Tesla's Unsupervised robotaxi rollout, Starship V3, Neuralink, and more.

He works nonstop. Elon started this live interview at 2 AM in Texas lol. pic.twitter.com/yKmqX5ueBP
— Sawyer Merritt (@SawyerMerritt) May 18, 2026