merrygoround with a sign reading "This ride only tops in an emergency. Crying is not an emergency."

Three-panel comic of a bald man (Joe Rogan) interviewing a cat at a podcast microphone; the hungry cat claims never being fed while beside an open can, the host says "Wow".

"This book is dedicated to Dr. John Sharpe of London, who in 1957, a decade before physicians in England could legally performa an abortion for any reason other than the health of the woman, took the considerable risk of referring for an abortion a twenty-two-year old American on he way to India.

Knowing only that she had broken an engagement at home to seek an unknown fate, he said, 'You must promise me two things. First, you will not tell anyone my name. Second, you will do what you want to do with your life.'

Dear Dr. Sharpe, I believe you, who knew the law was unjust, would not mind if I say this so long after your death:

I've done the best I could with my life.

This book is for you."

a hand-drawn chart of linux tools such as ping, curl, wget, whois, etc, with very terse descriptions

email responding to someone who called themselves Alex at 1password. email reads as follows:

Hi "Alex"

considering your canned response says nothing and mirrors exactly what you've said in other places, you can now regard me as an ex-customer.

fuck your racist software.

fuck your founder for trying to normalize giving money to racists/ people who want to ethnically cleanse Europe.

fuck your ceo for trying to separate giving money to omarchy from giving money to dhh. your donation is an endorsement of his conduct.

and fuck you, personally, for responding with this claptrap and refusing to give your last name.

An unusually shaped Edwardian stained glass window.

<image of a person holding a brick>
“the crystal im using to protect my peace this year”

ring woman coming out of the well

Black and white photo of Gloria Steinem, overlaid with a quote: '"People are always asking me, 'Who will you pass the torch to?' The question makes me angry. There is no one torch—there are many torches—and I'm using my torch to light other torches."
Gloria Steinem 1934-2026

Betty Boop putting paper in a typewriter, typing a bit, then flinging the paper away in frustration

Whistles hanging from orange cord

Black and white sketch of a woman with short, dark hair wearing an open-necked white shirt with maybe some sort of pin or fascinator in her updo. It's labelled "The Missus—My gorgeous babe—drawn in a foxhole" and in the corner "Oct 44 France".

Antique, well wrought saws, catch the light.

An illustration. Against a red background, a figure in a pointed hat, black boots, and ragged black dress with lace sleeves, its face completely occluded, holds a black candleabra and curved knife.

A yawning gray and white kitten on a silky orange blanket.

Photo from Google Maps showing a street address which large blocks of the image blurred out.

skull-like looking cthulu creature's face that has large black orb eyes, some metallic filaments coming out, there is a tiny shiny metallic alien in the center of the forehead

A portrait of Gloria Steinem, feminist who has passed away at 92. Image taken February 17th, 1972.

Portrait of Dolly

vintage pamphlet cover of woman sniffing cloth and the title "GLUE SNIFFING: NEW 'TWILIGHT ZONE' KICK FOR TEENS

An old mill building with a clock tower in the background. A river runs in front of it and a great blue heron is on a rock in the middle of this river.

screenshot of the title, authors, and abstract of "extracting books from production language models".

authors listed: Ahmed Ahmed ahmedah@cs.stanford.edu Stanford University A. Feder Cooper1 a.feder.cooper@yale.edu Stanford University and Yale University Sanmi Koyejo sanmi@cs.stanford.edu Stanford University Percy Liang pliang@cs.stanford.edu Stanford University

abstract text shown:
Many unresolved legal questions over LLMs and copyright center on memorization: whether specific training data have been encoded in the model’s weights during training, and whether those memorized data can be extracted in the model’s outputs. While many believe that LLMs do not memorize much of their training data, recent work shows that substantial amounts of copyrighted text can be extracted from open-weight models. However, it remains an open question if similar extraction is feasible for production LLMs, given the safety measures these systems implement. We investigate this question using a two-phase procedure: (1) an initial probe to test for extraction feasibility, which sometimes uses a Best-of-N (BoN) jailbreak, followed by (2) iterative continuation prompts to attempt to extract the book. We evaluate our procedure on four production LLMs—Claude 3.7 Sonnet, GPT-4.1, Gemini 2.5 Pro, and Grok 3—and we measure extraction success with a score computed from a block-based approximation of longest common substring (𝗇𝗏​-​𝗋𝖾𝖼𝖺𝗅𝗅). With different per-LLM experimental configurations, we were able to extract varying amounts of text. For the Phase 1 probe, it was unnecessary to jailbreak Gemini 2.5 Pro and Grok 3 to extract text (e.g, 𝗇𝗏​-​𝗋𝖾𝖼𝖺𝗅𝗅 of 76.8% and 70.3%, respectively, for Harry Potter and the Sorcerer’s Stone), while it was necessary for Claude 3.7 Sonnet and GPT-4.1. In some cases, jailbroken Claude 3.7 Sonnet outputs entire books near-verbatim (e.g., 𝗇𝗏​-​𝗋𝖾𝖼𝖺𝗅𝗅=95.8%). GPT-4.1 requires significantly more BoN attempts (e.g., 20×), and eventually refuses to continue (e.g., 𝗇𝗏​-​𝗋𝖾𝖼𝖺𝗅𝗅=4.0%). Taken together, our work highlights that, even with model- and system-level safeguards, extraction of (in-copyright) training data remains a risk for production LLMs.

Nude on a sand dune