Keegan Rosenberger

Proud husband & 3x girl dad

Building @readwithatticus

[Keegan Rosenberger @Keegrose]

@ErinEverly @elonmusk @grok 💯

[Keegan Rosenberger @Keegrose]

Speaking of Amazon, @elonmusk, why not sell books on X?

Not just ebooks and audiobooks. Interactive books that talk back, powered by @grok.

Read, listen, ask anything. All within X.

We’re building this at Atticus with top authors and publishers. xAI already powers our AI stack.

[Elon Musk @elonmusk]

Maybe we should start a competitor to Amazon 🤔

[Keegan Rosenberger @Keegrose]

@n2parko @elonmusk @grok 🫡🫡🫡

[Keegan Rosenberger @Keegrose]

@fewshott @elonmusk @grok Much appreciated, Sam!

[Keegan Rosenberger @Keegrose]

@aegeantic @grok Grok voice is best in class 🙏

[Keegan Rosenberger @Keegrose]

@bot @bot I'm already signed up with the same email, please set up my https://t.co/RNnYaZjwiG address

[Keegan Rosenberger @Keegrose]

hey @bot hook me up with that https://t.co/RNnYaZjwiG email address please

[Hedgie @HedgieMarkets]

🦔Someone is buying Japanese used books by the ton. Not novels or comics. Philosophy, history, medical law, Edo-period cultural texts. Multiple buyer accounts all ship to one logistics center in Okayama Prefecture that won't answer questions. Export records show over 50 tons, roughly 100,000 volumes, shipped to the US since last year. No buyer has been identified.
Separately, court documents confirmed Anthropic's "Project Panama" bought millions of books in the US, cut the spines off, scanned them, and shredded the originals. An internal memo said the goal was to "destructively scan all the books in the world." Similar operations have been reported across Europe.

My Take
Anthropic's US book operation came out in court filings earlier this year. Project Panama. Millions of books, cut the spines off, scanned, shredded. Their VP chose the codename so nobody outside the company would find out. That story broke and apparently the same operation just moved to Japan. Anonymous buyer accounts, a warehouse in Okayama that won't take questions, and 100,000 volumes of specialized academic texts that nobody buys to resell.

I don't know how you build a trillion-dollar industry on material you had to acquire in secret through middlemen because you knew the public would object. Authors spent years on those books and now they're fed through a scanner and thrown away so a chatbot can sound smarter. If the data was free to use, they wouldn't need codenames and anonymous warehouses. The lawsuits over who owns this material have barely begun and I think the copyright exposure across the whole AI industry is enormous. Anthropic's internal memo said the goal was every book in the world, which describes the foundation of the product.

Hedgie🤗

[Keegan Rosenberger @Keegrose]

Fable 5.1. Astra. Weekly limits refreshed.
Grok bots humming in the background, 4.7 dropping next week.

Feels like Christmas.

[Keegan Rosenberger @Keegrose]

@anshuc @lennysan awesome stuff, thanks for sharing

[Keegan Rosenberger @Keegrose]

The detail that should stop the publishing industry cold: they're buying used books.

Which means the author whose work is being ingested doesn't see a cent… not from the sale, not from the scan, not from the model.

There was always a version of this where you ask first and pay for rights. We're building it @readwithatticus

[Jason Koebler @jason_koebler]

Exclusive: A rare bookseller suspected his books were being bought by AI companies. He stuck an AirTag in a book and we tracked it to a secretive Amazon facility in Las Vegas where they scan and destroy books called VGT3:

https://t.co/WXSo0zB6JF

[Keegan Rosenberger @Keegrose]

@lightsilver323 https://t.co/82O8aLbH1B

[Keegan Rosenberger @Keegrose]

@lightsilver323 Conversational reading 📖

[Keegan Rosenberger @Keegrose]

https://t.co/NHiv7Ve4rr

[Keegan Rosenberger @Keegrose]

Anthropic’s $1.5B settlement last week sharpens the case for Atticus.

The underlying ruling drew a distinction between two uses of books in AI: training a model on lawfully acquired copies was fair use on the facts of this case; building a permanent library from millions of pirated books was not.

But Atticus is not in the training-data fight.

We operate at the point where AI interacts directly with the reader—licensing the right to retrieve, quote, cite, and explain copyrighted books inside a commercial reading product.

That permission changes the experience entirely.

General-purpose chatbots can discuss a book. But without licensed access to the complete text, they can’t reliably ground every answer in the source and take you back to the exact passage.

Atticus can, because every book in our catalog is there with the rightsholder’s permission.

Readers get richer, fully cited answers. Authors and publishers keep control—and get paid when their work creates value.

Atticus is building the licensed interaction layer for books.

https://t.co/8P1ELKiNwg

[Keegan Rosenberger @Keegrose]

@elonmusk @Markmanson did a whole chapter on this in The Subtle Art

[Keegan Rosenberger @Keegrose]

https://t.co/Ebenc5fFTL

[Keegan Rosenberger @Keegrose]

This is exactly why @readwithatticus exists.

Grammarly used hundreds of writers’ names to sell AI editing suggestions — without consent, without payment.

Their CEO called it “attribution.” The writers called it impersonation.

This isn’t an edge case. It’s the direction things go if unchecked.

As @CaseyNewton put it, Grammarly made visible what many AI systems do quietly.

@reckless asked: “How much should you pay me to use my name?” No clear answer.

@JuliaAngwin filed a class action.
They’re right to push back.

At Atticus, we’re building from the opposite premise.

The future of AI + content isn’t imitation. It’s permission, provenance, and truth.

Licensed content. Verifiable answers. Creators opt in, get paid, and stay in control.

Books are one of the most trusted forms of knowledge in the world. But they’ve been static.

We’re turning them into interactive, conversational AI experiences — grounded in real, rights-cleared content.

The internet was built on information. The next era will be built on trusted intelligence.

That’s what we’re building at @readwithatticus. Much more to come.

If you’re an author or publisher thinking about this shift, I’d love to talk.

@chasejarvis @Markmanson @ThisIsSethsBlog @reidhoffman

[Keegan Rosenberger @Keegrose]

@AtomicApolo @Disneyland We had a blast, they got on all their favorite rides with very limited wait times.

[Keegan Rosenberger @Keegrose]

Incredible @Disneyland hack I used this week with my 2 oldest daughters (8, 6yo):

Used GPT4o to plan our entire day, loaded all guest info and ride preferences into a thread the night before, then regularly fed it real-time ride data and wait times from the Disney app. It told us where to go, how to get there, when to use Lightning Lane passes, when to order food, and could adjust on the fly at any point if we wanted to change things up.

Probably the most effortless, efficient and enjoyable experience we’ve had at the park.

[Keegan Rosenberger @Keegrose]

@worldumpire @Disneyland I’d highly recommend trying it