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Gideon is the first real time AI system built to detect threats online before they become attacks. Anonymous networks flagging behavior predicting danger. We don't get a second chance. Let's not miss the next one. Fifteen seconds, Aaron. You're talking about stopping mass shootings, attacks in Boulder before they start. Trace, I'm building the first AI driven threat prediction platform for law enforcement. They're flying blind right now. I've got an elite team of engineers from Palantir. I've got law enforcement agencies lined up. 76% of these mass attackers posted some type of grievance online. This is America's early warning detection system. If you're a chief out there, reach out to me and get on my pilot. If you're a VC, I'm about to open my seed round, partner with me, and let's make America safe. They're gonna get cops the tools they need.

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A partnership with Palantir aims to address mortgage fraud. The partnership has only scratched the surface of what is possible. Previously, it took investigators sixty days to detect fraud; Palantir's technology accomplishes the same task in ten seconds. Palantir understands security and rooting up fraud. The partnership considers this a matter of public trust. The goal is to understand the fraud and stop it. The partnership intends to get to the bottom of mortgage fraud.

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They describe a monitoring and disruption program with a dedicated apparatus. They have 40 analysts working full time, seven days a week, twenty four hours a day, monitoring extremists online across platforms including social media, messaging apps, video games, cryptocurrency, podcasts, short form video, Wikipedia, and LLMs. They monitor these people and share the intelligence with the FBI. They are monitoring left-wing radicals like the DSA, antiwar activists, and pro-Palestine extremists; right-wing extremists like white supremacists and armed militia groups; political Islamists and Christian nationalists, all of them. They also emphasize training, stating they are the largest trainer of law enforcement in America, training 20,000 officers every year.

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Stop Antisemitism was built for confronting the global explosion of Jew hatred unleashed since the attacks of ten seven. Since that day, we have featured more than 1,000 antisemites on our platforms—not theorized about them, not quietly documented them, but featured them publicly, clearly, and with evidence. The results speak for themselves: approximately 400 of these Jew haters have faced real consequences including firings, suspensions, and expulsions. More than 300 remain in an active investigatory state across universities, corporations, DEI departments, unions, hospitals, nonprofits, and yes, federal government agencies. And five arrests to date tied directly to threats and violence of antisemitic conduct we helped expose. This is what accountability looks like. This is what action looks like. This is what pushing back hard looks like against the tidal wave of hate that has consumed The United States and global population. From our founding, Stop Antisemitism has operated on one guiding belief: Antisemitism thrives when there are no consequences. So we created consequences, a lot of them. We created visibility. We turned the spotlight towards those who targeted our community, making silence impossible. On campuses where Jewish students were hunted through libraries, where professors glorified Hamas and Hezbollah terrorists, where mobs shut down our buildings and administrators hid under desks, we stepped in. We documented the offenders. We worked with attorneys, lawmakers, and victim families, and we ensured the message was not unmistakable: If you target Jewish students, your actions will not disappear into the darkness. We will shine a light on you that thanks to Google and SEO, follow you for the rest of your life. When you look for a job, when you look for a spouse, when you look for a nanny, when you look for anything, our work will always be documented. Again, thanks to Google and SEO. In corporations where DEI leaders smeared Israel, excused Hamas, we pressured CEOs; some resigned, many were terminated, but policies were changed thankfully from governmental to art institutions. Online, where anonymous accounts spread violent threats, we traced patterns, elevated evidence, and worked with authorities leading to arrests from Florida, South Carolina, New York, California, and Texas. And we're not slowing down sadly. Today, Stop Antisemitism, I'm proud to say, runs one of the most robust antisemitic enforcement operations in The United States, monitoring campuses, digital networks, activist groups, and public officials, documenting incidents in real time and mobilizing millions of people, of allies that are quietly by our side. But the fight is bigger than the exposure, and it's about securing a future—A future where Jewish students can walk across a quad without being screamed at. A future where employers understand that anti Semitism is not activism. It's bigotry and it will cause you to lose your job. A future where fact, not propaganda, shapes policy. A future where global institutions from Google to chat, GPT, from governments to universities to media, finally treats Jew hatred with the seriousness of other minority-targeted hate. To get there, we need three things: action, real action as I listed; accountability; relentless vigilance, because antisemitism does not take breaks. It doesn't wait for elections. It doesn't disappear because we are exhausted and tired, and when I tell you myself and my team are exhausted and tired, that's the least of it. Stop antisemitism has never been more essential, more strategic, or more effective than it is now, but we cannot do this alone. The demand, the volume of tips, the number of investigations, sadly, it continues to grow instead of decrease. If we want a safer future for the Jewish people, this is the moment to stand together and act. We have to push harder to make it clear that Jewish safety is a nonnegotiable. Tonight, I'm asking you to always be in the fight with us, not just in spirit, but in true action. Participate in calls to action. Write letters to your governmental officials. Speak to the teachers and the college administrators that are making, if it's not your friends and kids, it's making other community members feel unsafe. When we act, lives change, And antisemites learn, sometimes for the very first time in their lives and history, that targeting Jews will come at a price, and together we can ensure that Jew hatred never goes unanswered again. As a former refugee from The USSR, I say this with all of my heart, God bless The United States, God bless Israel, and I'm Israel High. Thank you so much.

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The system covers the entire Internet, including social networks like Facebook and Twitter. It identifies 200,000 suspect posts and tweets related to antisemitism daily, using artificial intelligence and machine learning. Approximately 10,000 antisemitic posts are identified each day. This information will now be made public, serving as a deterrent to antisemitism. We will be able to determine which city has the highest antisemitic internet activity and identify the top 10 antisemitic tweets and Twitter users. By understanding the causes behind spikes in antisemitism, we can take action. The command center in Tel Aviv is already operational, analyzing and sharing information with local authorities and municipalities to address antisemitic activities. This marks the official launch of the system.

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Speaker 0: Number one, we measure and track. Number two, we monitor and disrupt. We have a whole apparatus. I have 40 analysts working full time, seven days a week, twenty four hours a day, monitoring extremists. We monitor them online, social media, messaging apps, video games, cryptocurrency, podcasts, short form video, Wikipedia, LLMs. We monitor these people and we share the intelligence with the FBI. You saw last month, you heard about the thing that happened at Wilshire Boulevard Temple. Our analysts investigated what happened. They said they were Koreatown for Palestine, this group of people. They weren't. We were able to ascertain they were from a group called the Turtle Island Liberation Front. Turtle Island is how, like, left wing activists refer to The United States. They don't call it America. They call it Turtle Island. Like the Iranians call it, Iranians call it the Zionist entity, or they only call by its name. The Turtle Island Liberation Front, we gave them a whole dossier. Who are what is Turtle Island Liberation Front? What are their ideas, their goals? Who are they? We identified the people who are in the synagogue. This was on Wednesday, December 10. On Monday, December 15, this is gonna ring a bell. Kashmattel announced they cracked a terror ring where they arrested four people who are playing New Year's Eve bombings, Turtle Island Liberation Front. At least one of the people I know for certain was in the building at Wilshire Boulevard Temple vandalizing it and disrupting the event. So we're monitoring left wing radicals like the DSA and the anti war crazies and the pro Palestine crazies. We're monitoring right wing extremists like white supremacists, armed militia groups. We're monitoring political Islamists and Christian nationalists, all of them. And then we train. We're the largest trainer of law enforcement in America. Extremism hate. We train 20,000 officers every year.

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Gideon is the first real time AI system built to detect threats online before they become attacks. Fifteen seconds, Aaron. You're talking about stopping mass shootings, attacks in Boulder before they start. Trace, I'm building the first AI driven threat prediction platform for law enforcement. They're flying blind right now. I've got an elite team of engineers from Palantir. I've got law enforcement agencies lined up. 76% of these mass attackers posted some type of grievance online. This is America's early warning detection system. If you're a chief out there, reach out to me and get on my pilot. And if you're a VC, I'm about to open my seed round, partner with me, and let's make America safe. They're gonna get cops the tools they need.

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A partnership with Palantir aims to address mortgage fraud. The partnership intends to ensure there is no fraud. According to one speaker, they have only scratched the surface with Palantir. Previously, it took investigators sixty days to detect fraud; Palantir's technology completes the same task in ten seconds. One speaker expressed excitement about Palantir's technology and expertise in security and fraud detection. For Palantir, this partnership is a matter of public trust. The partnership aims to understand mortgage fraud and stop it. The goal is to get to the bottom of mortgage fraud.

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"And Trump has been openly building databases on people with Palantir." "Palantir also manages all of your health data Because they contract extensively with HHS." "It was called DEEP and there's been a few arrests under DEEP for people making Facebook posts and things like that." "But anyway, this pitch to that Trump made about having social media spy on its users and use like analytics to, you know, bring about some sort of pre crime society." "didn't ultimately happen in creating this agency called HARPA, which was supposed to be like the health version of the Pentagon's DARPA." "the goal of Palantir, just like it was with total information awareness, is about stopping crime before it happens. It's pre crime." "There's one in LA called Predpol, and they have an accuracy of half a percent."

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We launched an initiative to improve research on how automated processes curate online experiences. Understanding misinformation and disinformation is crucial. Ignoring this problem threatens the values we hold dear. It's important to address the challenge, as it affects ending wars, tackling climate change, and upholding human rights. Those who perpetuate chaos aim to weaken communities and countries. We must prevent these weapons from becoming a part of warfare. Despite facing many battles, there is cause for optimism. For every new weapon, there is a tool to overcome it. We have the means, we just need the collective will.

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We can enhance school security by implementing AI cameras to monitor campuses and alert authorities immediately if a weapon is detected. Our redesigned body cameras, costing only $70, continuously record and transmit footage to headquarters, ensuring police accountability. Privacy is maintained, as recordings can only be accessed with a court order. AI monitors these feeds, instantly notifying supervisors of any incidents, promoting better behavior among both police and citizens. Additionally, drones can quickly respond to incidents, such as tracking suspects instead of engaging in high-speed chases, and detecting forest fires autonomously. These AI applications represent a significant advancement in public safety and law enforcement.

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Gideon is the first real-time AI-powered threat detection system for law enforcement and schools. It scans the open web, social media, Reddit, Discord, and gaming chats, flagging grievance buildup, martyrdom language, and tactical planning before someone acts. Law enforcement agencies are on board to pilot it. I'm raising funds directly from my audience—Cohen's commandos, the people who actually care to bring Gideon to life. If you've ever asked yourself, why didn't someone catch this before? This is the answer. Hit the link in the description and donate what you can and please share it. This isn't about politics. This is about protecting America, protecting our kids, and it's about giving law enforcement signal before the next tragedy unfolds. This is Gideon. This is my new mission. Help me build it, and let's do it together.

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Palantir is here to disrupt and make our the institutions we partner with the very best in the world and when it's necessary to scare enemies and, on occasion, kill them.

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- "ADL and the University of California at Berkeley's D Lab have been working to develop a new approach to tackle online hate using the latest methods." - "The goal of the online hate index is to help tech platforms better understand the growing amount of hate on social media and to use that information to address the problem." - "By combining artificial intelligence and machine learning with social science, the online hate index will ultimately uncover and identify trends and patterns in hate speech across different platforms." - "We've just completed our first phase of research and we found that the machine learning model identified hate speech accurately between seventy eight and eighty five percent of the time." - "We'll examine content on multiple social media sites and we'll identify strategies to deploy the model more broadly."

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Trump has been openly building databases on people with Palantir. Palantir also manages all of your health data Because they contract extensively with HHS. Trump called on social media companies to stop shooters before they commit a crime and to basically flag what people were saying on social media and use that to determine if there should be intervention before a crime might be committed, basically. That's minority report. William Barr, when he was in office the first time, created this program that legalized precrime in The United States, and I think I was, like, one of two people maybe that reported on that at the time. It was called DEEP. The legal framework has been there since, you know, Trump round one. This pitch that Trump made about having social media spy on its users and use like analytics to bring about some sort of pre crime society.

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Correct. I am now about to launch Gideon, America's first ever AI threat detection platform built specifically for law enforcement. It scrapes the Internet twenty four seven using an Israeli grade ontology to pull specific threat language and then routes it to local law enforcement. It's a twenty four seven detective. It never sleeps, and it's going to get us in front of these attacks. Would it have picked up on this, do you think? 100%. Percent. I wish this pro I wish my program would already be up. We're not launching until next week. I've got a dozen agencies on board, Trace. I just onloaded a major Northeast, agency with over 2,700 sworn. This is America's early warning system.

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Correct. I am now about to launch Gideon, America's first ever AI threat detection platform built specifically for law enforcement. It scrapes the Internet twenty four seven using an Israeli grade ontology to pull specific threat language and then routes it to local law enforcement. It's a 20 fourseven detective. It never sleeps, and it's going to get us in front of these attacks. Would it have picked up on this, do you think? 100%. I wish this pro I wish my program would already be up. We're not launching until next week. I've got a dozen agencies on board, Trace. I just onloaded a major Northeast agency with over 2,700 sworn. This is America's early warning system.

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Imagine a world without murder. I lost many loved ones to violence. Six years ago, the homicide rate was alarming, but then we introduced the pre-crime program. Within a month, murders in Washington, D.C. dropped by 90%. Within a year, the program effectively eliminated murder in the capital, and for six years, there hasn't been a single homicide. Now, we want to extend this success to all Americans. We aim to ensure that the system not only keeps us safe but also preserves our freedom. Vote yes on the National Free Crime Initiative on Tuesday, April 22nd.

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Devar AI presents Rockia, a dashboard designed as a copilot for navigating information wars, particularly on TikTok. It is currently demoed for the IDF counter propaganda unit, but can be tailored for any government monitoring collective consciousness. Rockia analyzes narratives and generates counter-narratives and social media campaigns using AI, addressing the rise in anti-Israel sentiment on social media since October 7. The dashboard displays topic clusters of TikTok videos, each represented by a card. Users can access full reports on each topic, examine AI-generated counter-narratives to combat negative or bolster positive sentiments, and view lists of TikTok videos within each cluster.

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We focus on collecting data from surveillance and monitoring social media platforms. Our goal is to counter negativity and reach out to people when we see hate speech online. Our media analysis unit has increased monitoring to catch incitement to violence and direct threats. We are committed to ensuring the safety and sense of safety for New Yorkers.

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We are the Secure Community Network, working to build a proactive security shield for the Jewish community in North America. Our focus is on intelligence sharing, physical security solutions, training, and incident response. With a team of experts, including FBI and Department of State members, we aim to protect and allow Jewish life to flourish for future generations.

Relentless

#48 - Police Chases, Ride Alongs, Bureaucracy | Daniel Francis, CEO Abel Police
Guests: Daniel Francis
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Daniel Francis, founder and CEO of Able Police, discusses the real-world problems police agencies face with tedious, time-consuming reporting and how their AI-powered solution aims to reclaim officers’ time for frontline work. The conversation dives into the origin of Able Police, born from Francis’s hands-on experiences in ride-alongs and observing how much time is spent documenting incidents. He explains the product’s core value: turning body-cam footage into police reports, addressing the two-part structure of a report—structured data versus the narrative—and the shift from manual transcription to intelligent generation, all while navigating CJIS and security concerns. The episode highlights the acquisition journey: persistence through dozens of agency rejections, the breakthrough moment with Richmond, and the strategic pivot when Axon announced similar capabilities, which validated the concept but also exposed gaps Able Police could fill with a more tailored CJIS-compliant stack. Francis emphasizes the fragmentation of policing across 18,000 US agencies, each with different contracts and processes, and why the company focuses on “soft,” understaffed departments first, then scales using demonstrations, conferences, and relationship-building. The interview also touches on culture within policing, the stress of the job, the appeal of body cameras for accountability, and how reliable reporting can impact budgets and safety outcomes. Towards the end, the discussion shifts to expansion plans and product strategy. Francis outlines Able Writer, a forthcoming tool to convert body-cam narratives into polished reports, and Able Citizen, a citizen-facing report intake with a chat interface to elicit precise crime details. He argues that stronger frontline presence reduces crime, saves lives, and improves city governance. The broader theme is leveraging AI to enhance policing through better data, streamlined workflows, and faster, more accurate documentation, while acknowledging political and administrative realities that shape adoption across diverse jurisdictions.

Cheeky Pint

Garrett Langley of Flock Safety on building technology to solve crime
Guests: Garrett Langley
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Garrett Langley describes the origin and evolution of Flock Safety, from a neighborhood initiative to track license plates after a crime to a nationwide hardware and software platform used by thousands of cities and private companies. He emphasizes the core insight that traditional home and vehicle security focuses on reacting to crime rather than preventing it, and explains how Flock built a community-focused safety system, culminating in real-time, city-wide coordination through Flock OS, license plate readers, cameras, and drones. The conversation showcases concrete case studies: real-time 911 integration that can surface suspect descriptions such as clothing and vehicles, cross-agency collaboration enabled by shared data, and a drone-enabled response model that reduces dangerous pursuits and speeds up arrests. Langley highlights the shift from single-neighborhood deployments to a national network that supports complex operations across multiple states, with a strong emphasis on balancing rapid disruption of crime with accountability, privacy, and data retention safeguards. The interview also delves into the broader implications of this technology for public safety, including the tension between expanding law enforcement bandwidth and civil liberties, the role of third-party data and federal coordination, and the evolving regulatory landscape shaped by state bills that set data retention and auditing standards. Questions about hardware scale, supply chain risks, and the economics of hardware-heavy growth reveal how Flock navigates a difficult capital-intensive path while maintaining a profitable core and pursuing ambitious future bets. The discussion ends with Langley’s forward-looking ideas: using Flock’s platform to prevent crime before it happens, investing in community-economic development to reduce crime incentives, and exploring humane paths to rehabilitate offenders. He frames safety as a public-right goal that requires legislative guardrails, transparent data practices, and a deliberate balance between effectiveness and privacy, while acknowledging the inevitable trade-offs as technology accelerates.

Weaponized

Air Force Analyst Lenval Logan Exposes What AARO Won't Show You About UFOs
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The episode centers on Lenval Logan, a former US Air Force airman who became an all-source analyst and contractor involved in UAP investigations and the military’s efforts to understand unidentified aerial phenomena. Logan recounts early exposures to unusual aircraft during his service in Europe and the United States, including a moment when he and colleagues identified a glowing, zigzagging object that outpaced known platforms on radar. He explains how pilots and radar operators often encounter things that defy easy explanation, and how the culture of secrecy, stigma, and concern for careers discouraged open discussion about such sightings. The conversation emphasizes the distinction between different intelligence disciplines and how an all-source analyst aggregates reports from imagery, SIGINT, human intelligence, and pilot debriefs to form a coherent assessment for commanders. Logan describes his path from B-52 crew chief to intel work and to involvement with a task force focused on UAPs, noting how sensitive the subject is, how information was sometimes shared unofficially, and how internal skepticism and the fear of compromising sources shaped the process. The hosts and Logan also touch on the role of public-facing media, including appearances on Joe Rogan, and how leaks and media portrayals influence public perception. The discussion shifts to the UAP task force’s evolution, the tension with Arrow, and the broader debate about whether the most compelling footage exists but remains classified. Logan discusses the motivation behind building Phenom, an app designed to educate, expose documentation workflows, and crowdsource analysis from the public, while acknowledging ongoing concerns about doxxing and misinterpretation. He frames the app as a way to empower responsible citizen participation, with a plan to assemble expert review through a council of trusted voices, and to provide a safer, more transparent channel for reporting sightings and validating data without compromising national security.

My First Million

EXCLUSIVE: $3B Founder Reveals His Next Big Idea | Brett Adcock Interview
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Brett Adcock discusses his entrepreneurial journey and the alarming rise in school shootings in the U.S., noting that several hundred guns are brought into K-12 schools annually, primarily handguns. He emphasizes the need for technology to detect weapons, inspired by a NASA research paper on imaging technology. Adcock's startup aims to develop a system that can identify weapons hidden under clothing, with plans to launch within 30 days. He believes that while gun control is important, it won't solve all issues, as violence can still occur with other weapons. Adcock's philosophy centers on building impactful solutions, prioritizing speed and iteration in product development. He aims to address safety in schools and other public spaces, viewing this project as a passion rather than a primary business venture. He also highlights the importance of clear communication and understanding across disciplines in tech development, drawing inspiration from successful entrepreneurs like Steve Jobs and Elon Musk.
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