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TripAdvisor’s AI summaries are smoothing over raw chicken, dead mice, and sexual harassment

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TripAdvisor AI summaries

The problem with trusting a machine to tell you about a hotel

Planning a vacation already feels like a second job. You scroll through pages of reviews, compare photos, check the star rating. Then along comes a neat little AI-generated summary that promises to do the heavy lifting for you. Sounds helpful, right?

Not so fast. An investigation by consumer group Which?, reported by The Guardian, found that TripAdvisor AI summaries are systematically filtering out the worst guest experiences — including hygiene failures, safety risks, and even sexual harassment.

In some cases, the gap between what the AI says and what real guests report is so wide it borders on dangerous misinformation.

Raw chicken, dead mice, and a cheerful summary

Take the Riu Palace Santa Maria in Cape Verde. The AI-generated overview called the resort “spotless” and said its restaurants earned “rave reviews.” Sounds like a dream.

Here’s what actual guests described: raw chicken served at the buffet, flies and birds buzzing around food stations, and dead mice near the seating area. The hotel chain is currently facing a High Court lawsuit brought by hundreds of guests who allege they fell ill due to hygiene failures at the property.

None of that — not the raw meat, not the rodents, not the lawsuit — appeared in the TripAdvisor AI summary. The company has since removed that particular overview.

When ‘friendly service’ means something else entirely

It gets worse. A hotel in Turkey had multiple guest reports of repeated sexual harassment by male staff members. The AI summary described the service as “friendly” with only “a few lapses.”

Think about that for a second. If someone booked that hotel based on the AI overview alone, they would have had no warning at all about the danger waiting for them. The summary didn’t just soften the criticism — it erased the severity of the complaint entirely.

These aren’t isolated glitches. The Which? investigation turned up multiple cases where serious safety incidents were either minimized or completely omitted from the automated summaries.

Why AI keeps sanding down the rough edges

Duncan Brumby, a professor of human-computer interaction at University College London, offered a straightforward explanation for why this keeps happening. Most of the data used to train AI language models leans toward polite, bland language. So when a guest writes an angry review about a dangerous situation, the model tends to treat it like a minor complaint.

Think of it this way: the AI has been trained on millions of sentences that say “the room was okay” and “the staff were nice.” It doesn’t have a strong framework for understanding that “I was sexually harassed” is not the same category of problem as “the Wi-Fi was slow.”

The result is a summary that flattens everything into the same polite, inoffensive tone — even when the original review is screaming about a genuine safety hazard.

What TripAdvisor says

TripAdvisor told the Guardian that it is investigating the mismatched summaries. The company says its systems are designed to suppress AI overviews when reviews mention serious safety incidents. It also stressed that these summaries were never meant to replace reading the actual reviews.

But that raises an obvious question: if the summaries are supposed to be suppressed when safety issues come up, why are so many dangerous complaints slipping through?

Don’t let an algorithm plan your next trip

None of this means you should stop using TripAdvisor entirely. The platform still contains a massive amount of useful, detailed feedback from real travelers. But the AI summaries? Treat them with serious skepticism.

Here’s a practical approach:

  • Scroll past the AI summary. It’s usually at the top of the page. Ignore it and go straight to the written reviews.
  • Sort by lowest rating first. The one-star and two-star reviews will tell you what actually goes wrong at a property. Read several of them to spot patterns.
  • Check multiple platforms. Don’t rely on a single site. Cross-reference with Google Maps reviews, Booking.com, and Expedia to get a fuller picture.
  • Look for specific details. A review that says “the bathroom was dirty” is less useful than one that says “there was mold in the shower and the toilet didn’t flush.” Specifics are harder to fake.

The same principle applies to AI-generated travel content more broadly. Whether it’s a hotel summary, a restaurant recommendation, or a suggested itinerary, algorithms are still terrible at understanding context, danger, and nuance. They can’t tell the difference between “the eggs were cold” and “I was served raw chicken.”

The bottom line on TripAdvisor AI summaries

AI tools are getting better at summarizing text. But better at summarizing is not the same as better at understanding. When it comes to something as personal and high-stakes as where you’ll sleep on vacation, the stakes are too high to outsource judgment to a machine that can’t tell the difference between a minor complaint and a major safety issue.

Read the real reviews. Ignore the AI gloss. And if a summary sounds too good to be true? It probably is.

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Artificial Intelligence

Google’s Gemini Notebook Now Lets You Cite Books You Own — Here’s How It Works

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Gemini Notebook Expert Intelligence

Google’s Notebook AI Just Got Smarter — With Your Bookshelf

If you’ve ever wished your AI assistant could quote directly from a cookbook you own, or pull a specific argument from a biography sitting on your digital shelf, here’s the news you’ve been waiting for.

Google is rolling out a new capability for Gemini Notebook (the tool formerly known as NotebookLM) called Expert Intelligence. The name sounds fancy, but the idea is simple: instead of only drawing from documents you upload or pages you link, the AI can now tap into digital books you’ve actually purchased from the Google Play Books library.

That’s right — your personal library becomes a source. No more copy-pasting excerpts or hoping the AI finds a relevant PDF. If you own the book, you can cite it directly.

How Expert Intelligence Works in Practice

Let’s say you’re planning a week of dinners built entirely around chicken and spinach. Instead of scouring the web, you can ask Gemini to pull recipes from a Martha Stewart cookbook you own. The AI will search the text, pull relevant passages, and cite them as sources.

But it doesn’t stop at recipes. You can turn any owned book into a variety of formats:

  • Infographics — visual summaries of key concepts from the book.
  • Audio Overviews — listen to a conversational recap of the material.
  • Quizzes — test your understanding based on the book’s content.

It’s a natural extension of what NotebookLM already does with uploaded sources, just with a much more curated pool of knowledge.

Not a Free-for-All: Sharing Has Limits

Here’s a catch that’s worth knowing before you get too excited. If you create a shared notebook and add a book as a source, your collaborators can’t just freeload off your purchase. They’ll need to own or buy their own copy of the book to fully use Expert Intelligence. Google’s being careful about copyright, and that’s probably wise.

Which Publishers Are On Board?

The feature launches with a solid lineup of major publishers. We’re talking Bloomsbury, De Gruyter Brill, Johns Hopkins University Press, Macmillan Publishers, O’Reilly Media, and Penguin Random House. All told, that’s over 100,000 titles available from day one.

That’s a big deal for students, researchers, and lifelong learners who already rely on NotebookLM for organizing their research.

Free Book Offer — But Act Fast

To kick things off, Google is giving away one free book to users in the US. The catch? It’s “while supplies last,” so you’ll want to check the app sooner rather than later if you’re interested.

It’s a smart marketing move, honestly. Get people hooked on the feature with a freebie, and they’ll likely buy more books to keep using it.

What About the Main Gemini App and Search?

Right now, Expert Intelligence is available only in the Gemini Notebook app and its web dashboard. But Google has confirmed it’s planning to bring the feature to the core Gemini app and AI mode in Search down the road.

That expansion could be huge. Imagine asking Gemini in Search to explain a concept “according to this book” and getting a cited answer pulled straight from the text. It’s a glimpse of where AI-assisted research is heading.

Featured Notebooks: Extra Insights from Authors

Beyond the book-citing feature, Google has partnered with a handful of authors to create Featured Notebooks. These offer additional insights that go beyond what’s in the book itself — think of them as bonus material, but integrated right into your research workflow.

It’s a nice touch that adds value for readers who want more context or behind-the-scenes thinking from the authors they admire.

Why This Matters for Your Research Workflow

If you’re already using NotebookLM for projects, this is a meaningful upgrade. You no longer have to juggle between your book library and your notes app. The books you own become part of your AI-powered research stack.

That said, it’s not a replacement for critical thinking. The AI is still pulling from what it finds, and you should always verify the context. But as a starting point for essays, reports, or even just personal learning, it’s a powerful tool.

For more on how to get the most out of Google’s AI tools, check out our guide on using NotebookLM for research and our rundown of Google AI features for productivity.

So, is Expert Intelligence worth trying? If you own books on Google Play Books and you’re already in the Notebook ecosystem, absolutely. Just remember to check the free book offer before it runs out.

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Google Dreambeans AI app: Your personalized daily feed is now free — here’s how it works

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Dreambeans AI app

Google just made Dreambeans free — what changed?

Google has quietly dropped the paywall on Dreambeans, the Dreambeans AI app that curates a personalized daily feed of stories just for you. Starting now, any Google Account holder in the US can try it without spending a dime. The news first surfaced via 9to5Google, and it’s a significant shift from the app’s earlier rollout.

Dreambeans first appeared in June, but only for Google AI Ultra subscribers. Later, it expanded to AI Pro users. Now? It’s open to everyone. That’s a big deal for anyone curious about AI-driven content discovery but not ready to pay for a subscription.

Setup isn’t instant, though. Google says it takes about a day for the app to generate your first set of stories. The app itself is available on both Android and iOS, so you can start the process on your phone and check back tomorrow morning.

How the Dreambeans AI app builds your daily feed

Think of Dreambeans as a hyper-personal version of Google Discover, but smarter. With your permission, it taps into several Google services to understand what you care about. Here’s the breakdown:

  • Gmail and Workspace — Provides real-world context like receipts, bookings, or an upcoming flight.
  • Google Photos — Picks up on the people and places you frequently capture.
  • Calendar — Notes events and appointments that might spark story ideas.
  • YouTube — Tracks your active hobbies and viewing habits.
  • Search history — Flags interests you’re just beginning to explore.

Every morning, the app stitches these data points into a fresh batch of story suggestions. That could be a hike worth trying, a new restaurant in your neighborhood, or an event happening nearby. It’s not just generic content — it’s tailored to your life.

Custom artwork, not stock photos

One of the coolest touches? Each story comes with custom artwork generated by the Nano Banana image generator. Instead of boring stock photos, you get illustrated scenes that often depict you and people you know. It adds a personal, almost whimsical feel to the feed.

More Google Labs experiments worth trying

Dreambeans isn’t the only experiment coming out of Google Labs lately. If you run a small business, Pomelli can now build your entire brand identity from scratch — from your color palette to a full working website. That’s a serious time-saver for entrepreneurs who don’t have design skills.

For music lovers, ProducerAI lets you describe a song idea and walk away with actual beats, album art, and even a music video to match. It’s a wild tool for hobbyists and creators alike.

If you’re a student, there’s another perk worth noting. Google is offering a free year of Gemini AI Pro through a new student hub. That’s a smart move if you want to test premium AI features before committing to a subscription elsewhere.

Is Dreambeans the next big thing in AI feeds?

Honestly, it’s too early to say. But the move to make it free suggests Google is serious about gathering user feedback and refining the product. The AI feed space is getting crowded, with competitors like Microsoft and various startups pushing their own personalized content engines.

What sets Dreambeans apart is the depth of integration. It’s not just scraping public data — it’s reading your inbox and your photo library. That’s powerful, but it also raises privacy questions. You’ll need to weigh the convenience against the data access.

For now, if you’re in the US and curious, it’s worth giving it a shot. The setup takes a day, but the payoff is a feed that actually feels like it knows you.

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Sony Music, Warner Chappell sue Anthropic, accusing AI lab of ‘brazen’ copyright theft

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Sony Music Warner Anthropic lawsuit

Publishers take Anthropic to court over training data

Sony Music Publishing, Warner Chappell, and a coalition of other music publishers have filed a lawsuit against Anthropic and its co-founders, Dario Amodei and Benjamin Mann. The complaint, lodged late Friday in the U.S. District Court for the Northern District of California, accuses the AI lab of running a “brazen campaign of illegally torrenting, scraping, and downloading copyrighted works.”

This is more than a routine licensing dispute. The publishers are alleging what they call “blatant theft” — that Anthropic used thousands of copyrighted songs, lyrics, and sheet music to train its Claude AI models without permission or payment.

Anthropic isn’t staying quiet. “We disagree with the publishers’ claims and we intend to defend ourselves robustly in court,” a spokesperson told TechCrunch in an emailed statement.

Not the first IP fight for Anthropic

This isn’t Anthropic’s first rodeo in court over intellectual property. Some of the same lawyers behind this case previously represented Concord Music Group and Universal Music Group in a January lawsuit. They also led the Bartz v. Anthropic case, where a group of authors accused the company of using copyrighted books to train Claude.

In the Bartz case, a judge ordered Anthropic to pay $1.5 billion. The ruling was nuanced: using copyrighted works to train AI was deemed legal, but obtaining that content through piracy was not. That distinction matters here.

What’s different this time?

The new lawsuit is notably broader than its predecessors. It accuses Anthropic of “flagrant piracy” through illegal torrenting to secure millions of copies of books — including works containing lyrics and sheet music. The publishers argue this wasn’t just a copyright gray area; it was outright theft on a massive scale.

Legal experts will likely debate whether this case breaks new ground or simply extends the arguments from Bartz. Either way, the music industry is clearly drawing a line in the sand.

Why the music industry is pushing back

For publishers, the stakes couldn’t be higher. If AI companies can freely train on copyrighted music without compensation, the value of their catalogs could plummet. Lyrics, after all, are the backbone of countless streaming services, karaoke apps, and print publications.

This lawsuit isn’t just about money. It’s about control — who gets to decide how creative works are used in the age of generative AI.

What happens next

Anthropic has vowed to fight the claims. The company’s defense will likely hinge on the same arguments that partially succeeded in Bartz: that training on copyrighted material is transformative and should be allowed under fair use.

But the piracy angle complicates things. Torrenting, even for AI training, carries a different legal weight than simply scraping publicly available data. If the publishers can prove Anthropic knowingly engaged in illegal downloads, the court may not be sympathetic.

This case is one to watch. It could set a precedent for how AI companies source their training data — and whether the music industry can demand a slice of the AI pie.

For more on how AI is reshaping creative industries, check out our piece on AI music generation copyright issues and how AI companies handle licensing disputes.

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