Realtime AI News
Yelp now lets its AI call restaurants to check wait times for you
Yelp is embedding a set of new AI features into its app, including one that phones a restaurant on a user's behalf to ask about current wait times. The company is also adding personalized recommendations that remember a diner's preferences, moving AI from answering questions to performing concrete tasks inside the app.
TechCrunch reported on October 20 that Yelp is embedding a set of new AI features into its app, the most visible of which lets the app call a restaurant on the user's behalf to ask about current wait times. For diners who have spent years refreshing a listing before leaving home, the question of how long the line is right now can now be asked by software.
Alongside the calling feature, Yelp is adding personalized recommendations that remember what a user likes. According to TechCrunch, those suggestions go beyond ratings and distance to take a diner's demonstrated tastes into account.
Both features point in the same direction: AI moving from an assistant inside a chat box to an actor inside an app. Phoning a restaurant looks trivial, but it requires understanding intent, completing a real-world interaction, and reporting the result back — a longer chain than generating a sentence.
What makes that possible is the asset Yelp has accumulated over the years: phone numbers, opening hours, and reviews for a very large set of businesses. A model can draft a call, but it needs a directory worth dialing and a reason for users to trust the answer it brings back.
The open questions are consent and privacy. Placing a call in a user's name means the app speaks for them to a third party, and remembering preferences means holding on to personal data over time; both will shape how the feature is received once it reaches ordinary users.
Details on availability and scope are still thin in the current report. The things to watch are whether Yelp extends this kind of agency to bookings and ordering, and how restaurants respond to a growing volume of AI callers on the other end of the line.
Why it matters
The feature pushes a review platform from a place to look things up into an agent that acts for the user, extending AI agents from the screen into real-world phone calls. Consent design and merchant tolerance will decide whether it becomes routine.
Nearby Updates
All10/20, 19:00
Otter.ai raises $320M from General Catalyst's Customer Value Fund
Otter.ai announced on Tuesday that it has raised $320 million from General Catalyst's Customer Value Fund, a vehicle that earns returns from marketing results instead of diluting equity in a conventional round. The company says the money will go to enterprise growth, go-to-market, international expansion, and product innovation.
10/20, 19:00
A new AI agent wants to take the admin out of benefits renewals
Employee Benefit News reports on an AI agent built for employee benefits brokers, designed to absorb administrative renewal work so advisers can spend more time with clients. The article frames the problem bluntly: employers are leaving their brokers, and paperwork-heavy renewals are a big part of why.
10/20, 19:03
DeepSeek open-sources DeepInfer, the engine behind its production serving
DeepSeek has published DeepInfer on GitHub, the high-performance inference framework it uses to serve its models at scale, with the release focused on offline inference. The code covers optimized kernels, parallelism strategies, deterministic sampling and structured outputs, giving outside teams their first direct look at how DeepSeek actually runs its models.
10/20, 18:53
Report: Anthropic's junior hiring stalls as agent work hours hit 6x employees
A 36Kr report says Anthropic has all but stopped hiring junior staff, with the share of junior roles falling 33% in 18 months. The same report says work hours handled by agents now run six times those of employees.