- Direct [link] to the mp3 file
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- Associate Executive Producers:
- Linda Lu—Duchess of Jobs & Writer of Resumes
- Become a member of the 1771 Club, support the show here
- Knights & Dames
- Blake Luther > Sir HorseMeds
- Eric Clay Thomason > Sir Snortle
- Jeffrey Morrill > Sir M of Spokane
- Anonymous Black Sheep > E61 BlackSheep Lord of the East Lansing hinterlands.
- End of Show Mixes: Fletcher - Vinnie Payne - Mellow D
- Engineering, Stream Management & Wizardry
- Mark van Dijk - Systems Master
- Ryan Bemrose - Program Director
- Clip Custodian: Neal Jones
- Clip Collectors: Steve Jones & Dave Ackerman
- EU UK Ukraine and NATO
- Ukraine stages audacious attack on airfields deep in Russian territory
- The SBU said Zelenskyy “personally supervised the progress of the operation”. A total of 117 drones were used in the attack, the president said.
- The SBU smuggled the drones into Russia, followed later by small wooden mobile cabins, the people said. The drones were concealed under the roofs of the structures, which had been loaded on to lorries. On Sunday, the roofs were remotely opened and the drones launched towards Russian military airfields.
- “This is exactly what we need to win the war, which is an asymmetric conflict — military creativity like that,” said Oleksandr Merezhko, head of the Ukrainian parliament’s foreign affairs committee.
- Ukraine UAV Attack details
- This was the first AI at the edge attack in warfare. We’re looking at semi-autonomous kill chains that survive Electronic Warfare, require minimal operator skill, and operate in GPS-denied terrain with high hit reliability.
- The FPV strike drones used onboard AI, probably using TensorFlow Lite Micro or similar frameworks—running directly on microcontrollers like STM32s. No auxiliary compute (e.g. Raspberry Pi), no GPU, is seen in the photos. Just embedded visual models trained to recognize aircraft, avoid smoke plumes, and perform last-moment targeting corrections, which is significant.
- These UAVs were short-range, high-speed, and built for disposable use—typical flight times are 5–10 minutes, max. By embedding lightweight AI directly into the flight stack, they were able to carry out terminal guidance purely off visual input—no uplink needed.
- The UAVs autonomy was dialed back just enough to be tactically useful, fast, and scalable. This is professional grade UAV work, probably indicating outside help....
- Drones
- Paul Lushenko is a U.S. Army lieutenant colonel and serves as the Chief Strategist and Director of Future Studies and Wargaming for the Joint Counter-Small Unmanned Aircraft Systems Office.
- M5M
- Brits do better and convincing BOTG
- ITM. If you read this on the air, please keep me anonymous. Just wanted to let you know, I was at training with a federal agency. During part of the class, we watched a short video of Robert Cialdini's principles of persuasion. In addition to the principles, the instructor pointed out a subtle principle the video used. The narrator had a British accent. The instructor stated that Americans tend to find British accents pleasing to hear and we think that people with that they are smart. Therefore, we tend to put more stock in what they are saying. Where have I heard that before? Once again No Agenda is ahead of the curve. Thank you for your courage.
- Transmaosim
- SCOTUS Just in time for pride month
- Adam—SCOTUS just issue a unanimous opinion
- that is sure to vex a lot of people, especially this month. Here’s a
- quick rundown (short highlighted article attached).
- Title VII outlaws discrimination based on sex. In 2020 (in Bostock v. Clayton County), SCOTUS ruled that this included discrimination based on sexual orientation.
- In Title VII cases, the employee bears the initial burden of proof, and
- must allege facts that create a “prima facie” inference that they were
- victims of discrimination. (“Prima facie” means “at first sight” or
- “based on first impression”—basically, it means you have enough to get
- the ball rolling in litigation.)
- In this case, a heterosexual woman claimed that the Ohio Youth Services Department discriminated against her because she is not LGBTQ+. The Sixth Circuit had ruled that heterosexuals must produce additional evidence demonstrating extra
- “background circumstances” in order to establish this prima facie
- case. By contrast, LGBTQ+ employees did not bear this burden.
- SCOTUS unanimously rejected
- the Sixth Circuit’s rationale, and said that Title VII contains no
- carve-outs that make it harder for majority groups to claim
- discrimination. It held that the Sixth Circuit was wrong, and now this
- heterosexual woman’s case may proceed.
- But it doesn’t stop with sexual orientation. This holding will echo
- throughout employment-discrimination law—race, religion, sex,
- national-origin, etc.—because it now makes clear that “reverse
- discrimination” is the same as any other discrimination. And again,
- this decision is unanimous.
- Big Tech AI and he Socials
- AI Caryn BOTG
- Regarding Caryn Marjorie from the last show
- I used to run her XXX group. She loves to play the victim after manipulating her community.
- Turned her following into a little cult mixed with some PTSD from being swatted at a hotel from a social media post and mentally ill, lonely fans.
- The burner number she gave out is monitored by her father who works at the FBI, it's a whole thing.
- Her telegram group is a whole paid community where she gets people engage with her social media and even has a reward system for engagement. It's extreme.
- So the whole story was basically engagement farming
- Yeah. She works with a guy who specializes in that. https://www.ishangoel.com/clients
- Also the whole thing about downplaying sexualized chats with her bot was bullshit.
- She has an entire paid closed group dedicated for "mature" chats (for her most "loyal" fans), a fanfix account with paid messaging, and even had a mode on her first chat bot where she charged more for sexualized responses.
- $99/month for unlimited private messaging lmao
- https://app.fanfix.io/@cutiecaryn?tab=membership
- Palantir BOTG
- I was recruited by Palantir to help stand up its AML platform. Platforms like this use machine learning models to confirm identity and detect suspicious transaction activity. To do this they use mountains of data from various clearinghouses and data from other clients. Late in the interview cycle I requested to speak with the head of product. I asked him how they sourced their seed data for ML training. He informed me they had NO DATA. Part of my job would be to get agreements in place with tier 1 banks to source that data so they could begin training models. Based on this I declined the job.
- People like Whitney Webb would have you believe Palantir is scraping all of our data for Mossad. If that were the case, Palantir would have more than enough data to train their AML models. They have exactly zero data in-house, meaning she is full of crap. What Palantir actually does is provide the platform for organizations to perform ML training off their own data. This is exactly what Trump wants Palantir to do for the various executive agencies.
- I get the arguments why this could be bad, but there are very real reasons why this is a great thing. Medicaid paid Thomson Reuters $5 million for the SSA death master file data. Yes the government paid $5 million to a Canadian company for its own data. This is only one example that I am directly familiar with, but I'm sure there are dozens. The government's data infrastructure is an ungodly mess, and if we can fix it with Palantir it could help eliminate Social Security and tax fraud, and speed up every government service.
