Advertise on podcast: In Memory of Man Podcast - Robot Crime Blog

Anthropic paid $1.5 billion to settle claims over pirated books. But another library escaped the settlement entirely: millions of legally purchased books that were cut apart, scanned, and destroyed under Project Panama. This episode examines how the law punished the theft, rewarded the shredding, and left the only surviving copies locked inside a private AI archive. August 1, 2026 — robotcrimeblog.com

600 years of cryptographers couldn't read the Voynich Manuscript. A weekend brute-force attack cracked it. It's a medieval drug manual. Six plants identified, including Cannabis on folio 16r. Full proof, free, public domain →   https://voynich-production-8b6c.up.railway.app/

Palantir is supposed to be a surveillance-tech company. So why are elite power networks around its co-founder showing up in stories about secret retreats, billionaire “dialogue,” sexual politics, and influence laundering? This episode breaks down the alleged Dialog network, the Thiel-world pipeline, and the strange way powerful people rebrand access, ideology, and control as “conversation.” Volunteers Wanted: Palantir’s Secret Elite Sex Cult is not a conspiracy board. It is a guided tour through the receipts, the euphemisms, and the question nobody in power wants asked: What exactly are these people recruiting for? robotcrimeblog.com

The word “intelligence” was never neutral. It was the sales pitch. This episode argues that the systems sold as artificial intelligence are not minds, thinkers, or neutral judges. They are privately owned prediction and sorting machines trained on human data, wrapped in language that makes people trust them, defer to them, and surrender power without asking who owns the system, who profits from it, or who answers when it is wrong. Name the machine correctly before it names you.

They stole the lake once. The public took it back. Now the same fight is happening again, except the resource is not water. It is human creativity, labor, memory, code, books, art, and thought. This episode argues that the AI economy is being built from a public commons, then converted into private ownership before anyone names the theft. The legal answer may already exist: the public trust doctrine, the same doctrine behind Illinois Central Railroad v. Illinois, where the Supreme Court said some resources cannot be sold off to corporations because they are held for the people. This is not an anti-AI episode. It is an anti-enclosure episode. The question is not whether the machines work. The question is who owns what they make, who benefits from the wealth they generate, and whether the public gets cut out of the economy built from its own mind.

The provided podcast warns that the open internet and private communication channels are currently being overwhelmed by an unstoppable wave of AI-generated spam and sophisticated bot activity. The author highlights how new open-source tools allow bad actors to automate perfectly tailored scams across iMessage, Gmail, and phone calls, making traditional red flags like typos obsolete. To combat this, the source outlines a "30-minute bunker" strategy involving technical settings such as filtering unknown callers and enabling two-factor authentication. Crucially, it advises readers to adopt a skeptical mindset, suggesting that any highly specific message from a stranger should be treated as artificial. The overarching goal is to provide a temporary defense for individuals to protect their finances and privacy until major platforms can develop better systemic protections. Ultimately, the text serves as a practical guide for surviving a rapidly collapsing digital ecosystem where human interaction is increasingly difficult to verify.

This field report argues that a massive digital infrastructure is currently replacing the human-centric internet with an AI-driven substrate that harvests our data to automate all layers of society. The author warns that the bridge cohort, those who remember life before the digital takeover, is the final generation capable of recognizing and documenting this total transformation. By 2030, the text predicts a rigid economic hierarchy ranging from wealthy owners of the AI infrastructure to a "stranded" class managed by universal basic income and synthetic entertainment. To survive this shift, professionals are encouraged to become sovereign operators by owning their own hardware and private data rather than relying on corporate cloud services. Ultimately, the source serves as an urgent call to preserve human legacy and autonomy before the physical and cognitive worlds are fully subsumed by machine logic.  robotcrimeblog

Time is not a thing. It is a sensation. And once you see why, the rest of reality looks completely different.  This episode lays out an alt theory of everything built on one image — the universe as an enormous orchestra where every section is already playing at once, and your awareness is the conductor's ear that can only listen to one section at a time. What you call "your life" is just the sequence of sections you chose to hear. The other sections never stopped. You stopped listening.  From there it gets stranger. Past, present, and future all exist simultaneously. Choice is real but works nothing like you were taught. Death is the listener leaving the hall, not the music ending. And there is interference in the system actively muffling most of the orchestra you were supposed to be able to hear.  No religion. No mysticism. Just the cleanest theory of time, consciousness, and reality that holds together end to end.  Listen if you want your concept of time permanently rearranged.  robotcrimeblog.com

You've probably never heard of Palantir. They know you. The company was founded in 2003 with CIA seed money. Today they run a ten-billion-dollar Army contract, a $30 million deportation platform called ImmigrationOS, and a facial recognition app that retains U.S. citizens' photos for fifteen years with no opt-out. Last weekend they posted a 22-point manifesto calling for the draft, AI weapons, and the end of pluralism. Congress called it illegal. Critics called it technofascism. Here's what's actually in the file.  robotcrimeblog.com

What happens to the middle class when AI eats the job market faster than policy can respond? This episode unpacks the Tensor Economy — a working framework for routing AI-generated wealth back to the people instead of letting it concentrate in a handful of corporate hands. We walk through the three core mechanisms (Compute Dividend, Shared AI Equity, Automatic Stabilizers), the Market Access Lock that stops capital flight, and the Public Trust AI layer that disciplines private providers the same way municipal water keeps bottled water honest. Not socialism. Not communism. Capitalist infrastructure built for a post-labor era. If you want to understand what's coming and what stops it from going sideways, start here.

What does the WOZ and AI have in common? Turns out, a lot!

"The perfect prison doesn’t need walls. It just needs people to believe they’re free."  The world you thought you knew is gone. We’ve been maneuvered into a digital "choke point" where every move is tracked, every choice is nudged, and every person is reduced to a data set for the new ruling class: the Technofeudalists.  In this explosive episode, we dive into the "Robot Crime" manifesto, Simulacra and Subjugation. We peel back the curtain on how Big Tech has replaced traditional ownership with indefinite "digital leasing" of your own identity.  Inside the Episode: The Rise of Technofeudalism: Why Google, Amazon, and Meta are the new landlords of your reality. The "Digital Twin" Threat: Your corporate-owned shadow self is making decisions about your bank account, your career, and your legal risk—without your permission. Weaponized Data: How AI uses your subconscious fears to predict your next move before you even make it. The Global Social Credit System: It’s not just in China. We explore how Western banks and employers use "digital scores" to enforce compliance. Reclaiming the "Outlaw Dreamer": Is it too late to own your digital existence, or are we already permanently locked out of our own identities? AI is not the enemy—it’s the weapon. Join us as we discuss the legal battle for digital self-ownership and how to stop being an "asset" and start being a human again.  "I think, therefore I am" is dead. Welcome to "I am digital, therefore I exist."  Listen now and decide: Will you be optimized, or will you be free?  robotcrimeblog.com

Your Digital Twin Is Already Alive. You Don't Own It.  Before you went to sleep last night, you built your digital twin. Every app tap, GPS ping, and scroll added another brick. The problem: you don't own it, can't correct it, and it will outlive you.  Companies like Acxiom — now rebranded LiveRamp after the original name became too radioactive in privacy circles — hold up to 10,000 data points per person. Not through hacking. Through identity graphs that silently stitch your grocery loyalty card to your 2 a.m. weather searches without your knowledge or consent.  Clearview AI scraped 30 billion photos from the open internet. Their CEO admitted it on camera without flinching. European regulators levied massive fines and demanded deletion. It didn't work — because when your face is ingested into a neural network, it stops being a file. It becomes math. Baked into the weights. You cannot unbake a cake and pull out a single egg.  Microsoft's voice-cloning system needs three seconds of audio to replicate you saying anything, in any emotional register. Three seconds. A voicemail to a plumber. A clip from a Zoom call. The system maps the acoustic environment — so a clone recorded in a parking garage sounds like it's calling from a parking garage. Your brain's threat-response circuitry evolved over millions of years to recognize a loved one in distress. It has no defense against a synthetic replica of that signal.  A 2018 study published in the Proceedings of the National Academy of Sciences — researchers from Stony Brook and Penn — detected clinical depression three months before a physician made the diagnosis. The input wasn't medical records. It was Facebook posts. The algorithm tracked a measurable rise in first-person pronouns: I, me, my. Psychological research shows that as depression develops, focus turns involuntarily inward long before the person consciously recognizes it. Sadness leaks into syntax. The algorithm reads the leak.  Now place that capability in the hands of a corporate HR department or a life insurance underwriter. They don't need a diagnosis. They see the semantic pattern, the timestamp of your 3 a.m. scrolling, and they attach a derived attribute to your profile: high risk, severe depression. Your resume gets filtered out. You never know why. You have no one to appeal to.  Under current U.S. federal law, you have almost no right to see, correct, or delete what data brokers hold. The inferences an algorithm draws about your mental health, financial risk, and behavioral trajectory are classified as the corporation's intellectual property. Not yours. Theirs. The conclusions a machine drew about your mind belong to the company that owns the server.  Clicking "do not sell my personal information" stops one broker from selling your data tomorrow. It does nothing for the broker who bought your identity graph two years ago and has no legal obligation to honor your request.  When you die, the twin doesn't. The face print stays in the neural network. The voice clone lives on a server farm indefinitely. A growing grief-tech industry is already selling your family an AI avatar of you — managed, monetized, and edited by a corporation that never knew you, presenting whatever version of you best serves their subscription model.  The question worth sitting with: if your digital twin is legally someone else's property and it outlives you long enough to interact with your grandchildren — at what point does the algorithm decide how your own family remembers you?   This post is based on a recorded discussion exploring the architecture of persistent digital identity, data broker operations, and the legal framework governing algorithmic inference in the United States. robotcrimeblog.com

".... Introduction to Compass (Correctional Offender Management Profiling for Alternative Sanctions) is a risk assessment tool designed to aid in the decision-making processes within the judicial system. By evaluating various data points on individuals, Compass aims to predict the likelihood of recidivism (the tendency of a convicted criminal to reoffend) and flight risk..."