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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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Speaker 0: It has come to my attention that there are several flock cameras installed around our town. My resources count over 30 of them, and I have graphics showing where they are. I’d like to be passed around to the guests here tonight so they can see where these cameras are. These cameras utilize AI to track you and your family when you’re out in public. They run by a company Palantir. This company claims that they just record movement of vehicles and they will reduce the crime rate to zero. However, people much more educated than I on these cameras have proven this to be false when speaking to their city councils. They do not monitor where you drive, but they also monitor where you walk, what you do, what you say, what’s on your phone when you walk by, and they spy on you all the time. Today, I walked around and I noticed the one down by the bridge was pointed towards the courtyard and the field, not towards any roads. So why would it be pointed towards the river, not towards the streets if it’s just to monitor vehicles? Also, in order to bring the crime rate down to zero, they would need to be able to predict crime before it happens, and I think that that is a slippery slope. Some cities are discussing adding this AI to police body cameras, which would be constantly monitored by an AI, which would make a judgment call about releasing drones also controlled by this AI. Again, I see it as a very slippery slope along with the military drones that we’ve seen used over in Iran and in Ukraine. That is not my biggest problem with these though. The owner of Palantir, Peter Thiel, is a man mentioned in the Epstein files over 2,200 times, making him the fourth most mentioned individual in the files. He accepted $40,000,000 that we know about from Epstein. The victims of Epstein and Jalane Maxwell were human sex trafficked, reported almost all members consisting of high profile and ultra wealthy individuals, and they witnessed murders, ritual sacrifice, and cannibalism of infants. That being the consumption of human flesh and blood. They used code words for their victims like pizza, jerky, and grape soda. I have a hard time believing that any human being could do something so evil. This is something that I would be told in a story about vampires. And I don’t know about you, but I think that vampires are meant for campfires. They are supposed to be a mythological being, and they’re not supposed to be real and definitely should not be in charge of the security and safety of our city. I believe that any decent person would say no to giving up their safety and security to someone with such little value of a human life, let alone a potential ultra wealthy pedophilic vampire in the Epstein files. So the gazebo is right here. Right? So I’m trying to capture this area where we have people hanging out.

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The transcript claims that Eris Labs, described as the company holding “all of TikTok’s user data,” partnered with an AI company that converts user-generated content into “searchable military intelligence.” The transcript says Eris Labs and this partnership were described in a June 4 post on Oracle’s blog, and that Oracle is “the other company” involved. It further states that Eris Labs and Oracle began working together “a little over a year ago,” and that Eris Labs has been operating “in stealth for a little over two and a half years,” making the exact start date of any work with Larry Ellison or the American government unclear. The transcript says Eris Labs is operating out of Washington, DC. It describes Eris Labs as headquartered in Tel Aviv, Israel, with “most of their team and all of their R&D out of there,” and notes that “three of their founders are veterans of Israeli intelligence.” The transcript says Amos Lahav spent “nineteen years running operations out of the Israeli Prime Minister's office,” and that the year he left that job he started Eris. The transcript says Eris Labs markets itself as a military software company that “processes battlefield footage,” which Oracle’s blog calls “Accelerating Media Exploitation.” It asserts that this same technology could be used to identify individuals in TikTok videos taken from a protest live stream, stating that the tool could produce identification of “every- single person in it,” depending on the query. The transcript says Oracle’s blog post includes content about domestic threats, claiming “Domestic terriers pose a significant threat to the US according to the FBI and the Department of Homeland Security,” and that domestic terriers “often use online platforms such as social media and gaming to communicate radical ideas” and “mobilize” people. It then quotes a separate Israeli newspaper interview in which Eris Labs’ CEO is said to have stated that after the October 7th attacks, they began “extracting intelligence from even TikTok videos.” The transcript emphasizes timing, stating that the White House signed an executive order giving Oracle custody of TikTok on September 25, 2025, and that “18 days later,” on October 13, 2025, Oracle added Harris Labs to their defense ecosystem. It claims this supports the view that Oracle is a “national security threat,” adding that defense contractors of Oracle’s size “shouldn't be allowed to invest in media properties,” while stating that a law is not in place. The transcript also references statements attributed to Larry Ellison about citizens being on “their best behavior” because they are “constantly recording and reporting,” and links Ellison’s investments to control of media outlets via “Oracle stocks” to buy CNN and CBS, then concluding by describing a scenario where one family holds “one hand on the surveillance infrastructure” and another holds a social media platform. It ends by claiming that “so is Eris” and instructs viewers on TikTok to “share accordingly.”

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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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Within these pillars, protect, advocate, educate, we are innovating. We are trying new ways to have an impact in the fight against anti Semitism. So let's talk about what that looks like. Within the first pillar, protect, not only has the team at the Center on Extremism expanded its ranks with data scientists and software engineers, but we use cutting edge AI tools to analyze the endless online chatter. And then when we identify salient trends or material threats, we route them to whomever may need it, could be journalists, policymakers, and very often law enforcement. Now I can't talk about all the times we do that. I can't divulge what's happened with every piece of intelligence shared, but just know there are real dangers that have been averted. Serious bad guys that have been put behind bars all over the world, And the information generated by Orin Siegel and the entire team on the Center on Extremism, it makes our communities safer.

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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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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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The speaker says they have been talking with people across Casagrande, and a recurring issue is safety. They then announce a new company called Shepherd Safety and describe its mission as keeping government officials and their families safe. The company says it will launch satellites to monitor Casagrande day and night using AI to track where government officials go, where they stop, who they meet with, and when they return home. The transcript states that Shepherd Safety has already begun collecting and building profiles on vehicles, including spouses’ vehicles, children’s vehicles, and other visual characteristics. It says this information will be combined with publicly available data, Bluetooth signals, advertising IDs, vehicle information, and commercial data sources. The speaker claims that authorized users will be able to “replay the movements” of every government official and their immediate family. The transcript further asserts that the system is “no difference” than current Flock Safety capture systems. It also states that information will be stored securely and only authorized users will have access, and that data will be stored for thirty days. The speaker says local businesses will be invited to join a network so government officials can continue being protected while shopping, eating, or traveling throughout the city. They then address concerns that the approach sounds invasive, including worries about abuse, unauthorized access, and tracking innocent people. The transcript says the concerns mirror what citizens have, referencing “eight hundred and sixty-four” people (or a similar number). It claims the system will be defended on the idea that “if you’re doing nothing wrong, you got nothing to hide,” and that there is “no expectation of privacy in public,” so tracking and uploading movements online is framed as acceptable. The transcript emphasizes that authorized users will have access and that only thirty days of data will be stored, arguing it is “no different from Flock.” The speaker then shifts to a privacy-focused objection, saying privacy should not stop being important when the word “safety” is used, and arguing that surveillance of elected officials and their families should not be accepted “for ourselves.” The transcript states: “this is satire,” adds “I wouldn’t never do this to you. Could I? Probably. But I wouldn’t, because it’s wrong,” and continues that the speaker is “innocent” and does not do anything wrong. They say their movements are tracked and uploaded every day without permission and request that tracking be stopped. The speaker asks for data collection to be put behind a warrant, “just like my phone records.” They end by saying they hope everyone has been having a great summer.

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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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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. 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. 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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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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Speaker 1 says a case described by the FBI shows a group moving from being “strangers on TikTok” to “operational planning within three months” on a combined total budget of $1,300. Speaker 1 says the FBI found out about the plot on June 10 and had it “wrapped up within four days,” calling it “a good OSINT puzzle” that is “perfectly wrapped.” Speaker 1 then summarizes the FBI announcement: the FBI “thwarted this attack” at the UFC Freedom 250 match at the White House that took place over the past weekend, which Speaker 1 says kicked off the country’s 250th anniversary celebrations. According to Speaker 1’s description of the FBI case filings released that day, a group calling themselves the Vanguard of the Old found each other on TikTok in March. Speaker 1 says they then moved into encrypted messaging apps including Signal and Telegram and were allegedly planning a coordinated attack targeting government officials and wealthy attendees. Speaker 1 also says the FBI chose to unseal the documents, and that Kash Patel was praised on the record for the FBI’s “rapid response.” Speaker 1 notes Kash Patel was “sitting front row” at the event while taking credit for protection of the weekend. Speaker 1 says the grievances listed in the court documents allege they are anti-government, anti-APAC, anti-capitalist elites, and anti-data centers, described as “fringe beliefs of a minor few.” Speaker 1 adds that these grievances are “things that millions of people are openly talking about” online and that they have been listed as motivations in a single federal terror case. Speaker 1 says an Eskridge affidavit includes a statement that Eskridge was preparing his residence “to be a safe house and making a bunker under the floorboards of his shed,” and Speaker 1 remarks that only one other person had used the word “shed” in a similar context. Speaker 1 then provides a parallel described by Speaker 0 about a “massive underground complex” under a military construction ballroom, where the ballroom becomes a “shed” for what is being built under the military, including “from drones.” Speaker 1 says if the government needed to work the case quickly, it would need “a pretty serious tech stack,” including tools to scrape TikTok content, analyze seized phones, identify “18 unknown people” from encrypted chat fragments, and enable intelligence sharing across four states’ agencies. Speaker 1 then references Oracle and Eris Labs, saying Oracle partnered with an AI company called Eris Labs that “turns user-generated content into searchable military intelligence,” and that Oracle announced the partnership on June 4, about six days before the FBI discovered the plot. Speaker 1 says Oracle would bring the tech stack to a Defense Tech Summit in Brussels on June 25. Speaker 1 concludes by saying there are still 18 suspects at large and that the “sales pitch starts on June 25,” adding that it will be seen which gets resolved first.

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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
reSee.it Podcast Summary
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
reSee.it Podcast Summary
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.

Shawn Ryan Show

Brandon Tseng – Shield AI’s X-BAT: The First AI Fighter Jet to Outsmart Top Gun | SRS #247
Guests: Brandon Tseng
reSee.it Podcast Summary
Brandon Tseng, co-founder and president of Shield AI, a defense technology company, discussed his journey from a Navy SEAL to a leader in AI and autonomous systems for national security. A graduate of the Naval Academy and Harvard Business School, Tseng's military experience, including deployments to Afghanistan and the Pacific Theater, profoundly shaped his vision for Shield AI. He emphasized the importance of protecting warfighters and civilians, driven by a desire to solve critical problems in warfare and global stability. His early military career, including augmenting a SEAL Team 6 troop, provided a masterclass in ISR and targeting operations, which later informed his approach to building AI systems. Shield AI, founded in 2015, has raised over $1 billion and grown to over a thousand employees, focusing on building AI pilots for military assets. Their core innovation is the "Hivemind" AI pilot, a self-driving technology for unmanned systems that enables operation without GPS or communications, and facilitates swarming capabilities. The company's first product was an AI-piloted quadcopter for clearing buildings, successfully deployed in various conflict zones like Syria, Iraq, Afghanistan, Israel, and Ukraine, proving its ability to enhance safety for special operations forces. This initial success, though in a niche market, laid the groundwork for more ambitious projects. The company expanded its hardware capabilities by acquiring companies that developed the VBAT, a 180lb vertical takeoff and landing aircraft, and Heron Systems, which specialized in AI for fighter jets. The VBAT, akin to a miniature Predator drone, has been operationally deployed with the US Coast Guard for counter-drug operations in the Caribbean, interdicting over half a billion dollars worth of cocaine in just two weeks. It has also seen significant success in Ukraine, performing over 130 sorties and enabling numerous strikes against Russian equipment in GPS and communications-jammed environments, demonstrating its strategic value in contested battlefields. Shield AI's most ambitious project is the XBAT, a first-of-its-kind, AI-piloted, vertical takeoff and landing multi-role combat strike jet platform. This aircraft, which does not require runways and is designed for mass production, aims to fundamentally transform air warfare by enabling geographically distributed, long-range fires from virtually any location. The XBAT, targeting a cost significantly lower than current fighter jets, boasts a 2100 nautical mile range and fifth/sixth-generation capabilities. Tseng believes AI and autonomy will be the most strategic capability for the next 50 years, leading to human-machine teaming in the near term and eventually robot-on-robot deterrence, emphasizing the need for the US to lead in this technology to maintain global stability against adversaries like China.

Weaponized

Air Force Analyst Lenval Logan Exposes What AARO Won't Show You About UFOs
reSee.it Podcast Summary
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.

Possible Podcast

Devshi Mehrotra on AI, justice, and public defense
Guests: Devshi Mehrotra
reSee.it Podcast Summary
Devshi Mehrotra's arc spans from a Beijing lab to a courtroom technology startup that aims to change how justice is practiced. Her first exposure to AI came in 2016 during a Beijing internship where she built a cancer cell image analysis prototype, learning gradient descent and neural networks while feeling overwhelmed yet hooked by the idea that math could drive real-world tasks. She later joined Google Brain, Microsoft Research, and DeepMind, contributing to NLP, computer vision, and robotics. Those experiences laid the foundation for Justice Text, which she co-founded with Leslie after meeting in the University of Chicago's computer science program and sharing a commitment to social justice. Justice Text emerged from a direct request: public defenders overwhelmed by video, transcripts, and jail calls needed tools to sift through footage and extract evidence. The platform automates transcription, offers searchable summaries, flags key moments such as miranda warnings or arrests, and lets attorneys assemble video exhibits for court. A Northern California case involving a Spanish-speaking client showed how a clip could reveal rights violations and help dismiss a charge. Mehrotra emphasizes that Justice Text is funded through customer relationships with government bodies, not charity, with durable, scalable adoption through procurement. Today, Justice Text serves around 60 public defender agencies, including statewide systems in Tennessee and Massachusetts, and major cities like Portland and Houston, with a delivery model that combines training, office hours, and in-person visits to fit varied county structures. Mehrotra describes a future of expanded partnerships, additional statewide deployments, and features such as Miranda AI, which summarizes large discovery folders and lets lawyers poll the data with natural-language questions, cross-referencing answers to exact files and timestamps. She notes governments are increasingly surveying AI use, demanding data safeguarding and interoperable APIs, and foresees growth into adjacent defense contexts and private criminal defense. She cites the Indian film Queen as a source of optimism about bold, independent paths.

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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