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Large language model: Subscribers drive growth at Duolingo

Large language model: Subscribers drive growth at Duolingo

Large language model(s)

Though Duolingo has amassed a userbase that outweighs the populations of many of the nations whose languages it teaches, converting that army of linguaphiles into a sustainable business has been difficult, especially given the founders’ initial budget-friendly mission. Duolingo has, however, managed to make it work as the company’s pure scale has given it the levers to run one of the most effective freemium models in the industry.

That model — giving all users access to a certain portion of the app’s features, whilst ringfencing others for paying subscribers only — has worked. Since the pandemic, Duolingo’s growth has gone into overdrive, as sales hit $137.6 million in its latest quarter, with more than 75% of that figure from subscriptions to the platform’s Super Duolingo service and its newer, more derivatively-named Max.

Duolingo now counts some 5.8 million paid subscribers, helping the app to become the top-grossing in education on the Google Play store and the Apple equivalent, as users seem keener than ever to upgrade and explore additional features like ad-free courses, extended playing time in the built-in games and quizzes, and enhanced AI content in the case of Duolingo Max too.

The company also hasn’t been able to resist the allure of advertising, raking in nearly $12m from ad deals in its latest quarter, more than it received for provisions of the Duolingo English Test — a proficiency exam that’s now accepted by over 5,000 universities around the world.

Deepfake conversations

For better or worse, Duolingo has cracked the code of mainstream language-learning, optimizing for the way that many people want to learn, with nudges, games and points to tell them that they’re progressing. But, just as that process has been honed to cold calculated perfection, AI has emerged onto the scene, with chatbots promising to turn the entire industry on its head.

That could usher in a new era of next-level immersion for language-learners, as users take their newfound vocabulary into conversations with chatbots that feel real… even if they’re not. That might be good for users, but employees have already lost out, with Duolingo laying off 10% of its contractors in January, citing AI.

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FT: Meta considering “tens of billions” in new capital to fund AI

Just days after Google announced a monster $85 billion upsized equity raise, the extremely profitable Meta is seeking to sell “tens of billions of dollars” in stock, according to a new report from the Financial Times.

Meta is planning on spending between $125 billion and $145 billion on AI capital expenditure this year alone.

Shares dropped more than 5% on the news.

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FT: Anthropic staff helping the NSA use Mythos for offensive cyberattacks

Anthropic’s Mythos AI model was deemed too dangerous to release to the public, with the company citing its ability to orchestrate novel cyberattacks.

And that’s just what the National Security Agency is doing, with the help of Anthropic staff embedded at the agency, according to a report from the Financial Times.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

Only a small number of companies and US allies have been given access to the advanced model, which means America’s adversaries have not had the chance to shore up their defenses against the AI model’s new offensive capabilities.

The arrangement is especially unusual as the Pentagon has deemed Anthropic’s AI a national security supply chain risk — effectively blacklisting it for defense work — in response to the company’s refusal to allow its technology to be used for any legal application, which could include autonomous killing or mass surveillance. Anthropic is currently suing the US government to fight the determination.

tech

Longtime Tesla bear JPMorgan upgraded Tesla and raised its price target to $475 from $145

For more than a decade, JPMorgan was Wall Streets most stubborn Tesla skeptic, anchored by auto analyst Ryan Brinkman’s strict focus on traditional car fundamentals and near-term delivery numbers.

But JPM recently handed coverage of the stock to a new analyst, Rajat Gupta, who is throwing that playbook out the window. In a note Friday, the firm upgraded Tesla to neutral from underweight and raised its price target 228% to $475 from $145. (The analyst consensus on FactSet is $403.) Instead of focusing on the company’s struggling vehicle business, the new analyst is orienting himself more toward Tesla’s idea of the future, now modeling Tesla’s physical AI and robotaxi fleets all the way out to the year 2040.

Here are the main reasons for the capitulation:

  • Looking past the car lot: Gupta argues that Tesla is at the forefront of physical AI, entering uncharted TAMs” and therefore deserves the benefit of the doubt to be valued on LT earnings potential rather than near-term speed bumps.

  • Unmatched vertical integration: Teslas control over everything from battery cells to custom silicon gives it a massive moat. JPM notes this starting point advantage is unmatched at an industrial level scale” and “still somewhat under-appreciated and misunderstood.

  • The AWS flywheel effect: Deploying Optimus robots inside its own factories should not only lower COGS for the base automotive business, but more importantly, help validate the product at an industrial scale.” Gupta called it “a classic flywheel effect, somewhat analogous to AWS and Kiva at AMZN.

For Tesla bulls who have argued for years that this is an AI company and not a carmaker, JPM’s sudden $3.9 trillion valuation model is the ultimate validation.

skynet terminator

Anthropic ponders self-improving AI

Anthropic says Claude already writes 80% of its code. A new post asks what happens when the models can improve themselves — and whether anyone could stop them.

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