Piers Morgan- “And what do you say to Jewish people who may watch this show and be horrified?”
Dan Bilzerian- “They can be horrified. I was horrified to learn that they mass murdered Christians. I was horrified to learn the things they teach in the Talmud. I was horrified to learn they think Jesus is burning in shit. I was horrified to learn they think the virgin Mary is a whore. I was horrified to learn that they think it’s ok to steal from gentiles. I was horrified to find out that they think it’s ok to gang rape Palestinian prisoners. I’m horrified that we are funding a genocide right now….. so they can be horrified.”
Jarenlang werd Nederlanders een rampscenario van 4 tot 6 graden opwarming aangepraat om peperduur klimaatbeleid te rechtvaardigen. Nu trekt zelfs de bedenker van dit scenario, het IPCC, zijn voorspellingen in.
Tijd om het klimaatbeleid te schrappen en de lasten voor burgers te verlagen. Vandaag heb ik Kamervragen ingediend over het geschrapte IPCC-rampscenario. 👇🏻 https://t.co/ZH02SFObuZ
Europe showing once again they don’t understand tech 💩 Why , Why do this to my continent ? Please I beg you talk to smart people !!! Idk maybe download an app and try things. Stop being defensive idiots.
The Talmud allows killing gentiles.
But not killing jews.
So Israel warned the 4000 jews working in the World Trade Center not to go to work at 911.
They used a message service called Odigo and send the message in Hebrew.
Remarkably 99,9% of jews working in WTC survived.
The goyim were not so “lucky” as Lucky Lucky Lucky Larry Silverstein
El cordobés que entrenó una IA para detectar si su próxima novia era igual a la ex
Marcos, 31, Córdoba. Cuatro años con Carla.
Terminaron mal: gaslighting, tres infidelidades, le vació la cuenta antes de irse.
Seis meses después, Tinder. Pero no confiaba en su propio criterio, porque a Carla también la había elegido él.
Entonces hizo algo raro: bajó los 4 años de chats de WhatsApp con la ex (38.000 mensajes) y entrenó un modelo fine-tuneado sobre Claude para detectar los patrones lingüísticos previos a cada episodio tóxico.
Manipulación temprana, victimización, love bombing, triangulación.
Ahora cada match nuevo pasa por el filtro. Le manda screenshots al agente y el sistema le tira un score de 0 a 100 de "similitud con Carla". Arriba de 60, ghostea.
En 4 meses descartó a 23 minas. Está saliendo con la número 24 hace 5 meses. Score: 12.
Lo subió a GitHub la semana pasada. Se llama ExFilter. 4.300 stars en 6 días.
Lo más perturbador: tres de las descartadas le escribieron meses después pidiéndole plata prestada.
Deze tijden: een AfD-politicus zette een foto online van de Azov-brigade in Oekraïne waarop de militairen de Wolfsangel - een nazi-symbool - dragen. Wat gebeurt: de AfD-politicus krijgt een straf van 1200 euro omdat hij had moeten weten dat het verspreiden van nazi-symbolen verboden is. Intussen steunen wij Azov met veel geld. De ironie is niet meer meetbaar.
Edward Snowden, speaking in 2015:
"When you say I don't care about the right to privacy because I have nothing to hide, that's no different than saying I don't care about freedom of speech because I have nothing to say, or freedom of the press because I have nothing to write."
🇪🇺 L’app European Age Verification est vendue comme open source, privacy-by-design et ultra-respectueuse de la vie privée...
⚠️ Pourtant, sa doc officielle donne le mode d’emploi exact pour que quelqu’un (police, services de renseignement, cabinet du Premier ministre…) puisse se placer au milieu des échanges de l’app et lire ou modifier les données en toute discrétion !!
🚨 La backdoor MITM est intégrée au cœur technique de tout le projet EUDI Wallet / European Digital Identity
Dites non à la surveillance de masse abusive et protégez le futur de vos enfants contre ces gens 🤥
👁️ #AgeVerification #Backdoor
"Voluntary" ...unless you want to:
- Travel
- Go to a restaurant
- Take a walk in the park
- Drive your car
- Exit your house
- Access the internet
- Make payments
Also, Don't worry, police will check if you have made the correct choice!
I cannot believe we are living in this increasingly controlled surveilled world, and yet real crypto application that can save us from this are not being accelerated at 10000x... instead we get our industry wiped out and sucking up to institutional capital that only wants permissioned tradfi assets onchain
I was smeared as an anti-Semite and “Holocaust denier” for even broaching this topic.
Turns out I was onto something…..
“Israeli officials obtained Hamas’s battle plan for the Oct. 7 terrorist attack more than a year before it happened, documents, emails and interviews show. But Israeli military and intelligence officials dismissed the plan as aspirational, considering it too difficult for Hamas to carry out.
The approximately 40-page document, which the Israeli authorities code-named “Jericho Wall,” outlined, point by point, exactly the kind of devastating invasion that led to the deaths of about 1,200 people.
The translated document, which was reviewed by The New York Times, did not set a date for the attack, but described a methodical assault designed to overwhelm the fortifications around the Gaza Strip, take over Israeli cities and storm key military bases, including a division headquarters.
Hamas followed the blueprint with shocking precision.”
https://t.co/mL6H1v5jk0
Nederland heeft in slechts één maand tijd 130 miljard euro aan ongerealiseerde winst gemaakt op het Groningse gasveld.
Ik vind op zijn minst dat we daar 36% van mogen zien als grondstof dividend dit jaar. Toch mooi weer zo'n 2600 euro p.p.
Box3 drama 🔂
This is wild.
143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history.
Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots.
Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget.
Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard.
The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.