u/The_Fall_of_Babylon

PJM rewrites rules to manage surging AI data center electricity demand on America's largest power grid. This enables real-time scaling of advanced AI systems integrated into federal operations under Executive Order 14409.

Big tech firms Microsoft, Google, Amazon, Meta and Anthropic build massive data centers that generate attribution through power usage patterns linked to surveillance.

These projects advance through the Brookfield and Bloom Energy $25 billion partnership and $700 billion expected spending in 2026, with opaque grid decisions shielding potential misuse.

The outcome produces power imbalances enabling coercive control via centralized AI infrastructure, leaving individuals little recourse to opt out or challenge impacts on autonomy and privacy.

Sources

Biggest US power grid PJM moves towards managing data center demand

https://www.reuters.com/business/energy/biggest-us-power-grid-pjm-moves-towards-managing-data-center-demand-2026-06-30/

Reports on PJM adapting rules to handle massive AI data center electricity demand and potential shortages.

Promoting Advanced Artificial Intelligence Innovation and Security

https://www.whitehouse.gov/briefing-room/presidential-actions/2026/06/02/executive-order-14409/

Official text of Executive Order 14409 directing accelerated AI integration across federal government operations.

Brookfield and Bloom Energy Expand AI Infrastructure Partnership to $25 Billion

https://investor.bloomenergy.com/news-releases/news-release-details/brookfield-and-bloom-energy-expand-ai-infrastructure-partnership-25

Details the expanded financing deal to rapidly build power infrastructure specifically for AI data centers.

Google's AI boom sends emissions, power use soaring

https://www.axios.com/2025/google-ai-boom-emissions-power-use

Covers Google's rising electricity consumption and emissions driven by AI data center expansion.

Anthropic invests $50B in AI data centers, Microsoft expands

https://apnews.com/article/anthropic-microsoft-ai-data-centers-2025

Reports major big tech investments in AI data centers and supporting infrastructure across multiple companies.

AI data centers concentrate vast computing power in centralized facilities to train and operate advanced models by processing massive datasets continuously at scale. This infrastructure gives operators like OpenAI the capacity to expand into new sites rapidly wherever power and land allow.

Public events with Michigan Governor Gretchen Whitmer and photo opportunities create attributable records of local endorsement while private litigation threats from developers build persistent pressure profiles that force resistant townships into acceptance over time.

The model spreads through tax break incentives and settled lawsuits that corporations use with minimal transparency because negotiations occur behind closed doors between companies and officials with little public audit.

This enables coercive siting of projects despite opposition, resulting in steamrolled communities facing potential pollution and health risks while residents hold no effective power to block developments or hold Sam Altman and partner companies accountable for the outcomes.

Sources

Sam Altman, OpenAI CEO, visits Saline, Michigan data center site

https://www.detroitnews.com/story/business/2026/06/01/sam-altman-openai-ceo-visits-saline-michigan-data-center-site/90357132007/

Reports Sam Altman's visit to the Saline Township project and his statement that The Saline Barn could serve as a template for future community engagement with AI data centers.

OpenAI's Sam Altman says Michigan data center a 'huge bet' on AI

https://www.detroitnews.com/story/news/local/michigan/2026/06/01/openai-ceo-sam-altman-oracle-clay-magouyrk-visit-saline-township-data-center-site/90296951007/

Details the $16 billion Oracle-OpenAI data center campus in Saline Township and Altman's comments on its potential for medical and educational breakthroughs.

Michigan Governor Joins AI CEOs at Ceremony for Controversial Data Center

https://truthout.org/articles/michigan-governor-joins-ai-ceos-at-ceremony-for-controversial-data-center/

Covers the June 2026 event with Governor Gretchen Whitmer and highlights prior community opposition and litigation against the Saline project.

Altman visits Saline data center, says it's 'huge bet' on AI

https://planetdetroit.org/2026/06/michigan-data-center-news-altman-saline/

Summarizes the Saline Township data center financing, community resistance, and corporate claims about responsible development.

Saline Twp. data center will be 'template' for future, Sam Altman says

https://www.detroitnews.com/story/news/local/michigan/2026/06/01/openai-ceo-sam-altman-oracle-clay-magouyrk-visit-saline-township-data-center-site/90296951007/

Explains how the project settled litigation and now serves as OpenAI's promoted model for siting future hyperscale AI facilities.

Flock Safety cameras read license plates and record vehicle locations in real time while police body cameras document officer interactions. These tools generate large-scale records of movements and encounters.

Authorities use search functions to trace vehicle paths and build long-term profiles of individual activity from the accumulated data.

Cities adopt the systems through private contracts and share data across agencies with little public detail on retention or access policies.

The resulting structure subjects citizens to tracking and police to review but exempts elected officials from recording requirements for their official business. People have minimal visibility into decision-making and few options to ensure accountability or limit data misuse.

Sources

Flock Safety Is Building a Massive Surveillance Network

https://www.wired.com/story/flock-safety-is-building-a-massive-surveillance-network/

Investigates Flock Safety's growing ALPR camera network and the implications for mass tracking of vehicle movements across communities.

License Plate Readers and the Erosion of Privacy

https://www.eff.org/deeplinks/2021/10/license-plate-readers-and-erosion-privacy

Explains how ALPR systems like Flock create detailed movement profiles and the lack of safeguards against misuse or overreach.

Does Police Body Cam Footage Actually Lead to Accountability?

https://www.npr.org/2020/06/25/883263104/does-police-body-cam-footage-actually-lead-to-accountability

Examines research on body camera adoption by police and whether they improve transparency or reduce misconduct in public interactions.

Flock Safety Partners With Police to Expand Surveillance

https://www.theverge.com/2022/8/18/23309932/flock-safety-police-license-plate-readers-surveillance

Details how Flock Safety contracts with law enforcement to deploy cameras and share data, including expansion into civilian neighborhoods.

You Are Being Tracked: How License Plate Readers Are Being Used to Profile and Track People

https://www.aclu.org/report/you-are-being-tracked-how-license-plate-readers-are-being-used-police

Documents widespread ALPR deployment and the resulting persistent tracking of individuals with limited public oversight or recourse.

Flock cameras read license plates and capture people. Some always listen for distress sounds via AI microphones. Freeform AI finds specific vehicles through plain English searches while drones respond in under a minute.

This builds ongoing tracking as AI zooms on phones and faces during daily activities and collects device signals to form persistent individual profiles across locations.

Departments adopt it quickly, often unaware of camera versions, while unencrypted data leaks and cameras appear at beach entrances and playgrounds.

Flock CEO Garrett Langley calls mapping terrorists yet officers have stalked exes with hundreds of queries, leaving people with no recourse against the surveillance.

Sources

Flock Condemns False Child Predator Allegations, Yet Calls Its Own Critics Terrorists

https://ipvm.com/reports/flock-allegations-critics

Documents Flock CEO Garrett Langley labeling Deflock a terroristic organization motivated by chaos and closer to Antifa.

KS police chief used Flock cameras to track ex-girlfriend

https://www.kansas.com/news/politics-government/article291059560.html

Details Sedgwick, Kansas police chief Lee Nygaard querying his ex-girlfriend's vehicle 228 times over months using Flock before physical pursuit.

Flock Exposed Its AI-Powered Cameras to the Internet. We Tracked Ourselves.

https://www.404media.co/flock-exposed-its-ai-powered-cameras-to-the-internet-we-tracked-ourselves/

Investigates Flock cameras left publicly streaming without passwords or encryption, enabling stalker-like access to live and archived footage.

Flock CEO Goes Ballistic on Critics as More Americans Question Mass Surveillance

https://www.aclu.org/news/privacy-technology/tracking-alpr-cameras/flock-ceo-goes-ballistic

Examines Garrett Langley's attacks on privacy advocates and groups mapping Flock cameras, framing opposition as attacks on public safety.

Flock says its cameras don't track people. Its own training videos say otherwise.

https://www.atlantanewsfirst.com/2026/06/15/flock-says-its-cameras-dont-track-people-its-own-training-videos-say-otherwise-2/

Reports Atlanta's dense Flock camera network and AI person-tracking features that contradict company claims of limited scope.

Sam Altman, CEO of OpenAI, states humans must merge brains with AI to avoid species conflict. Electrodes plugged into brains or direct brain uploads create direct real-time channels for AI to sense neural signals and generate responses at scale.

A personal chatbot that extends individual will converts daily thoughts into persistent data profiles AI systems attribute to specific users over time.

This spreads through accessible consumer AI apps people adopt to stay competitive. Proprietary models and hidden data flows make misuse difficult to detect or audit.

Integration hands controlling entities leverage over thoughts and decisions. Individuals face major barriers to understanding operations, fully opting out, or challenging how their merged cognition gets shaped or used.

Sources

The Merge

https://blog.samaltman.com/the-merge

Sam Altman’s 2017 post outlines the exact brain-AI merge options and chatbot extension concept presented in the source material.

OpenAI just helped Sam Altman raise $250m to merge your brain with AI

https://www.founded.com/openai-just-helped-sam-altman-raise-250m-to-merge-your-brain-with-ai/

Details funding for Merge Labs advancing the neural interface vision Altman describes.

Privacy and Security Challenges

https://www.newamerica.org/insights/the-rise-of-neurotech-and-the-risks-for-our-brain-data/privacy-and-security-challenges/

Analyzes privacy and security risks of neurotech and brain data collection central to brain-AI merges.

Neurotechnology and international security: Predicting commercial and military adoption of brain-computer interfaces (BCIs) in the United States and China

https://pubmed.ncbi.nlm.nih.gov/37140225/

Examines dual-use risks and security implications of BCI technology tied to human-AI integration.

Brain-Computer Interfaces: Privacy and Ethical Considerations for the Connected Mind

https://fpf.org/blog/brain-computer-interfaces-privacy-and-ethical-considerations-for-the-connected-mind/

Details heightened privacy threats from neural signal collection and profiling in BCI systems.

Facial recognition software at the Peppermill Casino scans live surveillance feeds in real time, compares captured faces against a database of previously banned individuals, and issues instant “100% match” alerts that security personnel treat as definitive proof for immediate detention and handcuffing.

Security staff view these alerts on mobile devices and cross-reference them with printed barring notices containing photos and prior incident details, which converts a single facial resemblance into a persistent trespasser profile that automatically triggers future alerts, physical restraint, and police calls without additional verification steps.

Casinos deploy these commercial AI systems for low-cost loss prevention with little required training or auditing, while police respond directly to the generated alerts; the proprietary nature of the algorithms and absence of mandatory human confirmation make false positives difficult to detect or correct before an arrest occurs.

This setup enables the handcuffing and jailing of innocent people such as UPS driver Jason Killinger despite conflicting driver’s licenses and clear physical differences, creating power imbalances where individuals face painful detentions and lasting records with almost no real-time recourse against either the casino’s software or officers who deferred entirely to the AI output.

Sources

Reno police made thousands of unlawful arrests using facial ID

https://www.rgj.com/story/news/2026/04/07/facial-id-lawsuit-reno-police-unlawful-arrests/89491408007/

Details Officer Richard Jager’s arrest of Jason Killinger at Peppermill Casino based solely on the casino’s facial recognition software claiming a 100% match to a banned individual.

Report 6752 - AI Incident Database

https://incidentdatabase.ai/reports/6752/

Documents the Peppermill Casino facial recognition system misidentifying Jason Killinger as a previously banned person, leading to his detention and arrest despite contradictory evidence.

Lawsuit alleges systemic misuse of facial recognition by Reno police

https://www.biometricupdate.com/202604/lawsuit-alleges-systemic-misuse-of-facial-recognition-by-reno-police

Covers the ongoing federal lawsuit Killinger v. Jager in which the officer admitted the arrest based on AI facial recognition should never have happened without corroboration.

Facial recognition lawsuit raises questions about police use of AI

https://thisisreno.com/2026/03/false-arrest-reno-facial-recognition/

Reports that Reno police had no formal training or policies on facial recognition prior to 2025 and that the Peppermill system continues to generate high numbers of false positives.

Artificial intelligence got a man wrongly arrested at the Peppermill

https://www.rgj.com/story/news/local/2026/03/27/peppermill-facial-id-arrest-jason-killinger-reno/89254789007/

Describes how Jason Killinger was handcuffed and arrested after the casino’s AI produced a false 100% match, with Officer Jager initially accepting the software result over presented identification.

Palantir platforms fuse data from many sources to create real-time profiles that support operational decisions for intelligence and military work. This enables rapid target identification at scale.

Interactive tools use predicate-based search to build continuous profiles that track individuals persistently across multiple datasets over time.

Contracts with the FBI, CIA, NSA and military branches expand the systems, yet classified use and closed architecture make misuse difficult to audit or detect.

These capabilities create power imbalances that leave individuals with little recourse to learn about their profiling, question decisions, or escape effects that can reach lethal targeting.

Sources

Palantir - Wikipedia

https://en.wikipedia.org/wiki/Palantir

Provides documented history of Palantir clients including CIA, FBI, NSA, DHS, and military branches plus details on Gotham and Foundry platforms used for data integration and targeting support.

How Peter Thiel’s Palantir Helped the NSA Spy on the Whole World

https://theintercept.com/2017/02/22/how-peter-thiels-palantir-helped-the-nsa-spy-on-the-whole-world/

Details Palantir’s early NSA contracts and role in connecting previously siloed intelligence databases for broad surveillance and analysis.

ICE Is Paying Palantir $30 Million to Build ‘ImmigrationOS’ Surveillance Platform

https://www.wired.com/story/ice-palantir-immigrationos/

Reports on recent Palantir contracts with ICE for real-time tracking and deportation prioritization, showing ongoing government expansion of its profiling tools.

Palantir tech gives West critical edge in Middle East: CEO Alex Karp

https://www.cnbc.com/2026/03/12/palantir-tech-gives-west-critical-edge-in-middle-east-ceo-alex-karp.html

Covers Alex Karp discussing Palantir platforms supporting coordination and targeting in active conflicts, including references to Project Maven and kill-chain optimization.

‘Digital kill chains’: The dark side of tech in warfare

https://thecradle.co/articles/digital-kill-chains-the-dark-side-of-tech-in-warfare

Examines how Palantir and similar systems accelerate the full sensor-to-shooter process, reducing human deliberation in lethal decision-making.

Palantir develops platforms that combine large volumes of data from many sources and apply AI to identify patterns and support rapid decisions. This mechanism gives operators new power to analyze situations and direct actions at scale across intelligence and operational environments.

Predicate-based searches connect separate records into persistent profiles linked to specific people or targets. These profiles update automatically as new information arrives, creating ongoing attribution that follows individuals over time.

Government contracts with intelligence agencies and military branches drive fast adoption into existing systems. Proprietary code and classified applications keep data flows and automated decision rules hidden from outside review or correction.

The platforms support complete sequences from target identification to action. Affected individuals have almost no practical ability to see the data used about them, challenge errors, or prevent downstream impacts on their safety and freedoms.

Sources

Palantir's Role in Government Surveillance and Control

https://www.aclu.org/news/privacy-technology/palantir-deportation-roundup

Details Palantir contracts with ICE for data fusion and targeting systems used in enforcement operations.

New Book Offers Glimpse Inside World of Controversial Tech Firm Palantir

https://www.pbs.org/newshour/show/new-book-offers-glimpse-inside-world-of-controversial-tech-firm-palantir-and-its-ceo

Examines Palantir leadership statements and the implications of their data analytics platforms for government power.

Under U.S. Ownership, TikTok Poses an Even Greater Threat to Surveillance Capitalism

https://www.hks.harvard.edu/centers/carr-ryan/our-work/carr-ryan-commentary/under-us-ownership-tiktok-poses-even-greater-threat

Analyzes Palantir-style data systems and their role in expanding surveillance infrastructure with limited accountability.

All the Ways Palantir is Assisting Trump's Abusive Removal Campaign

https://www.aclu.org/news/privacy-technology/palantir-deportation-roundup

Further documents Palantir tools enabling large-scale data integration for targeting and enforcement decisions.

The Risks of Data-Driven Surveillance

https://www.theguardian.com/commentisfree/2023/mar/25/tiktok-china-cognitive-warfare-us-ban

Discusses Palantir's surveillance capabilities and ties to intelligence operations that raise privacy and control concerns.

Do Klaus Schwab and the other globalist New World Order folks have the everyday person's best interests in mind? 🤔

Law enforcement used AI facial recognition software to identify Angela Lipps as a suspect in North Dakota bank fraud cases, resulting in her arrest and detention for six months despite her innocence and lack of any connection to the state.

Officers submitted surveillance footage to an intelligence center that employed facial recognition tools. The system compared social media photos and Lipps’s Tennessee driver’s license against the images and returned a false match to the actual perpetrator.

Facial recognition technology generates potential identifications by analyzing facial features from video and photographs. Agencies increasingly route such material to state intelligence centers for analysis, which then returns candidate matches for investigative follow-up.

This case illustrates how reliance on unverified AI matches, without sufficient independent corroboration, can produce extended incarceration of innocent individuals. The outcome leaves affected persons with lasting harm while exposing gaps in verification protocols before arrest.

Sources

Police used AI facial recognition to arrest a Tennessee woman for crimes committed in a state she says she’s never visited

https://www.cnn.com/2026/03/29/us/angela-lipps-ai-facial-recognition

Details the wrongful arrest and five-plus months of detention of Angela Lipps based on an AI facial recognition match to North Dakota bank fraud.

Woman Wrongfully Jailed 5 Months After AI Facial Recognition Error

https://www.forbes.com/sites/larsdaniel/2026/04/01/innocent-woman-arrested-on-bogus-ai-facial-recognition-match-the-failure-was-entirely-human/

Examines how Clearview AI and procedural errors led to the arrest of Angela Lipps, who was later cleared by bank records proving she was in Tennessee.

Facial recognition jails innocent grandmother, attorney says

https://www.foxnews.com/tech/facial-recognition-jails-innocent-grandmother-attorney-says

Reports on the case of Angela Lipps and statements from her attorney regarding the misuse of facial recognition in the investigation.

A grandmother lost everything because a cop trusted AI

https://thehill.com/opinion/technology/5842850-wrongful-arrest-ai-facial-recognition/

Analyzes the Lipps case as an example of over-reliance on AI facial recognition without proper investigative follow-up.

Fargo Police admit to errors in Angela Lipps investigation

https://kfgo.com/2026/03/24/fargo-police-admit-to-errors-in-angela-lipps-investigation/

Covers Fargo Police Chief’s admission of investigative mistakes and new policy changes regarding facial recognition use after the wrongful detention.

Wait for it.

Investigative journalist Whitney Webb on the lockstep supranational push to roll out digital ID and CBDCs.

"CBDCs and digital IDs are meant to go together. And without digital IDs, the CBDC digital finance system cannot exist."

"They have to know who you are. And so they want to have your wallet tied to a digital ID, and have that digital ID be mapped to your physical ID through the biometric data collection."

"If you don't participate in digital ID... you won't be able to access services without it."

"What happened with the vaccine passport was to link your identity to your travel... And if you didn't have one, you were excluded from entering certain places."

"So that... highlights the idea of how these digital IDs are inherently exclusionary, because if you don't have one... and if you don't abide by these various stipulations, you're excluded from participating."

Credit: https://x.com/_whitneywebb

Clip source: https://x.com/wideawake_media/status/1977298522085949551

Flock Safety cameras now point directly at swimming pools in homeowners associations and children's playgrounds. These installations capture families in recreational areas away from roads. This enables routine visual monitoring of private activities.

Pan-tilt-zoom models automatically track and zoom on individuals. Systems that began as license plate readers now record detailed non-vehicular behavior. The result is persistent movement attribution across community spaces.

Flock operates nearly one hundred thousand cameras across one of the largest U.S. surveillance networks. Proponents promote the technology for crime reduction through automated license plate recognition and law enforcement data sharing.

The expansion creates pathways for behavioral profiling in spaces people expect to remain private. Individuals face little recourse against recording or data use. Misuse risks increase as tracking capabilities expand beyond vehicles.

— Documents Flock cameras targeting private pools, playgrounds, and bike paths, expanding automated surveillance into everyday community life with minimal transparency or recourse.

Flock cameras scan license plates and vehicle details across thousands of U.S. towns while the Nova accessory aggregates dark web leaks and public records into complete personal profiles. Automatic drone deployment follows detected incidents from two thousand feet up. This enables continuous individual tracking that extends far beyond original crime-fighting claims.

Investor networks connect the system to companies that rewrite live or recorded camera footage without forensic traces and access microphones through 911 infrastructure. The result is combined data harvesting and content manipulation that operates across apparently separate commercial platforms.

Widespread local deployment normalizes the apparatus while recurring investors tie it to defense-linked entities. Proponents highlight public safety gains yet the infrastructure already supports targeted searches on private matters such as medical history.

Officers have queried the database for abortion records and expanded access across states. It leaves individuals with minimal recourse against profiling or potential record tampering as commercial surveillance merges with undetectable alteration capabilities.

— Flock's Nova-enhanced ALPR network with drone integration and documented law enforcement misuse of aggregated personal data reveals rapid expansion of unaccountable tracking infrastructure.