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September 20, 2024
Distributed Rebellion: A thesis on crypto x AI from Delphi Labs 📝

AI represents arguably the biggest technological revolution in history, and has kickstarted a technological arms race the likes of which the world has never seen before. Current AI models are already scoring in the top decile on most standardized college tests and outperforming humans at many tasks including AI research itself. Even at its current level, this is already transformative to many industries such as search, customer service, content creation, programming, education, and more.

We expect AI capabilities, funding, and its effect on society to only accelerate from here. All the big tech giants understand AI is existential to their businesses and are investing accordingly. NVIDIA revenue, arguably the best proxy for AI CapEx, is on track for over $100b in 2024, more than double that of 2023, >4x that of the year prior.
Google CEO Sundar Pichai on AI investments:
“The risk of underinvesting is dramatically greater than the risk of overinvesting for us here."

At the same time, startups sense AI is a disruptive force with which they can unseat multi-decade incumbents and an estimated $83b has been invested into AI startups over the last 18 months.

Given that AI capabilities have tended to scale exponentially with the compute applied to them, it’s very likely we will reach something like AGI within the decade.

In this piece, we argue that competitive dynamics will result in a world of millions of models, and crypto is the ideal substrate for this many-model world. We’ll start by discussing why we think a many-models world is the logical end-game for AI. We then go over the unique differentiators crypto provides to AI. Finally, we cover the crypto x AI stack as we see it, and provide specific examples of the kinds of projects we’re excited about.
There are strong philosophical and moral reasons why open-source AI and crypto x AI is a better state of affairs for humanity, and these are excellently covered elsewhere. While we agree with them entirely and this is part of what motivates us to build in this space, for the purposes of this piece will focus purely on the practical reasons why crypto x AI will win, rather than the moral arguments for why it should win.

○ God-model vs many-models

Right now, we’re tracking towards a world where a few, large vertically-integrated tech companies produce “God-models” that dominate everything else.

However, we don’t think think this is the end-game for a few reasons:

Rug risk: Organisations, entrepreneurs and developers building experiences on top of AI don’t want to be dependent on a single closed-source company which can change the model, alter the terms of use, or even stop serving them entirely.

Cost-performance-tradeoff: The extremely large, generalised models favoured by the big tech companies are necessarily much more expensive, both to train and to run. As a result, this renders them overpriced and overpowered for many use cases. While this isn’t as big a consideration right now as people aren’t thinking about profitability, as AI reaches scale people will optimise to get the lowest cost possible for the level of performance they’re looking for. For many tasks, large models will not be competitive here. There is extensive research to support this, showing much smaller, specialised models can outperform the generalised models at everything from medical imaging diagnoses, fraud detection, speech recognition and much more.

Vertical integration: As Apple has repeatedly demonstrated, the best products often result from vertical integration across the entire stack. Ambitious entrepreneurs building AI-enabled products will seek to gain a competitive advantage by building on top of their own specialised models.

These products will also be able to capture more value, attracting more investment, etc.
Privacy concerns: AI will be at the core of organisational workflows in a way that arguably no other technology has been. Many organisations are reluctant to entrust their sensitive data to these models.

For these reasons, we believe we’re much more likely to end up in a world with many smaller, specalised models that are tailored and cost-effective for particular use cases. Application developers and users will leverage open source models such as LLaMA or those from @MistralAI as a base from which to fine-tune their own dedicated models, often using proprietary data. Many models will continue to run on servers, but smaller, more privacy-sensitive applications will run locally on client devices, while others who require censorship-resistance might use decentralised compute networks.

This is a world of modular AI legos, where devs and entrepreneurs compete to provide value to users, and users are able to pick, choose and combine different services to suit their particular needs. Routing, orchestration, synthesis, payments, and all sorts of other infrastructure will need to be built to unbundle the “God-model” stack and serve this emergent AI economy.

This also happens to be the world where crypto thrives.

○ Crypto x AI

Crypto intuitively feels like an area which can find utility in this many-models world. However this hype has led to significant capital allocation in the space from often under-informed investors. Much like the infra bubble before it, many projects are being funded and built which perhaps should not be. As such it’s not easy to determine which subsectors in the crypto x AI space genuinely have merit, leading many to dismiss the whole space as a meme without fundamental value.

We don’t think it’s a meme, but it’s true that this many-models world could theoretically ex$ist without crypto. Therefore, it was important for us to focus on the unique ƞ of crypto that allow us to create radically better products or, ideally, ones that couldn’t be built without it. In order to do this, we start by identifying the unique properties of crypto and how they could apply to AI in a way that results in better products. We’ll then go over the crypto x AI stack and provide examples of use cases that we think fit this.

Trustlessness: Crypto rails tend to be trustless, which means you can have cryptographic assurances that they don’t change, access cannot be unexpectedly withdrawn and you can verify that execution is as expected. This is important for the modular AI stack because, unlike with an integrated approach, builders will need to compose with a bunch of primitives they don’t control and users will need to inherently trust a number of services, many of which they don’t even know about.

Censorship-resistance: If deployed as immutable contracts, applications running on crypto rails are unstoppable. Even if upgradeable, it’s often by a DAO which requires a quorum of tokenholders to reach consensus. Assuming AI becomes as powerful as we expect, it’s highly likely governments will seek to control and influence it. In fact, we’re already seeing this happen. Just as Bitcoin and crypto provide money/financial rails that sit outside the system, crypto x AI provides unstoppable intelligence.

○ The crypto x AI stack

Given these benefits, what applications do we think are particularly interesting at the intersection of crypto x AI?

Data Centers and Compute

The utility of compute for models broadly falls into two categories: training and inference. We see merit in using decentralised compute for both of these and we’ll expand on each below.

Training on Decentralised Compute

Distributed compute is currently difficult due to the heavy communication and latency requirements between nodes during training. There are many teams trying to solve this problem and, given the size of the prize and the quality of talent working on it, we’re confident it will probably be solved. A few promising approaches here include @NousResearch’s DisTrO and @PrimeIntellect’s OpenDiLoCo.

In addition to solving the hard technical problems of distributed training and building a product that abstracts away this complexity, winners will also have to figure out:

1. How to ensure quality and accountability on a permissionless network

2. How to bootstrap a supply-side, ideally of data centers and clusters rather than consumer hardware

Token incentives will probably be table stakes for incentivising a supply-side, and more creative approaches may include giving compute providers ownership in the resulting model.

Fundamentally, the advantages of a distributed compute marketplace are that you can tap into the lowest marginal cost of compute around the world. This becomes increasingly important as rising costs from incumbent service providers causes more companies/orgs to push back and seek out cheaper alternatives. The disadvantages are latency, heterogeneous hardware as well as lack of all the optimisations and economies of scale that come from building and operating your own data centers. It remains to be seen how this plays out.

○ Verifiable Inference

Broadly, we see the use case for verifiable inference as extending trust-minimised systems with AI capabilities. It’s not practical to embed a model into a smart contract, but it is possible to run the model off-chain and post some attestation or proof that it ran as expected on-chain. For instance, projects could trustlessly offload governance decisions (e.g. decisions regarding risk parameters in a money-market) to an off-chain model.

This concept could also be used for open or closed-source models more generally, giving users assurances that the output came from the model they expected. This may become important as applications and users leverage AI for increasingly mission-critical tasks. There are many projects tackling this in various ways such as Delphi Ventures portco Inference Labs (@inference_labs).

○ Data

Training LLMs today is a multi-step process requiring various kinds of data and human intervention. It starts with pre-training, where LLMs train on cleaned, curated versions of the common crawl and other freely available data sets. During post-training, the models are trained on smaller, more specific, labeled datasets to make them proficient in specific areas (e.g. Chemistry), often with the help of experts.

In order to ensure fresh and/or proprietary data, AI labs often secure deals with owners of large data sources. For example OpenAI and Reddit signed a deal worth a rumoured $60m. Similarly, the Wall Street Journal reported that News Corp's deal with OpenAI was valued at more than $250 million over five years. It’s clear that data is more valuable than ever.

We believe that crypto networks are well placed to help teams source the data and resources required by every stage of this process. Perhaps the most interesting sector is data collection, where we believe crypto incentives are well placed to bootstrap the supply side of data collection and unlock much of the significant long tail of data sources.

For example, Grass AI (@getgrass_io) incentivises users to share their idle internet bandwidth to help scrape the web for data which is then structured, cleaned and made accessible for AI training. If Grass can bootstrap enough of a supply-side, it can effectively act as an API key providing fresh internet data for use in models.

@Hivemapper is another good example - the network was launched in November 2022 and collects millions of kilometers of road-level imagery every week, having already mapped 25% of the world. It’s easy to see how similar models could be applied to other forms of multi-modal data and monetised by selling to AI labs.

As the NewsCorp/Reddit deals show, there are many companies who own valuable data but many are either too small or lack the connections to AI labs to monetise it. Similarly, AI labs making deals with individual small providers may not be worth the effort. A well-designed data marketplace could mitigate this by connecting providers to AI labs in a somewhat uniform manner. There are a few challenges here, the primary ones being solving for quality of data, as well as fungibility of both APIs and data.

Finally, data preparation is a significant set of tasks involving labeling, cleaning, enrichment, transformations and so on. A small team may not have all these skills in-house and look to outsource. Scale AI (@scale_AI) is a centralised company offering these services - currently estimated to have revenue of around $700m and growing fast. We believe a well designed marketplace and workflow system based on crypto rails can do well here. Lightworks is one that Delphi Ventures invested in and there are a few others - all at quite an early stage.

○ Model

To paraphrase Delphi Digital’s report, The Tower & The Square, the production and control of AI models are tracking to be almost entirely controlled by “the tower” - big tech and governments.

This is arguably an even more dystopian state of affairs than government-controlled money. As it allows them to not only control the most important economic resource, but also control the narrative by censoring and manipulating information, cutting certain “undesirable” people off from the system entirely, using people’s private AI interactions against them, or simply using AI to maximize ad revenue.

There are many smart people working to create “the square” - a decentralised network with the goal of producing a fully neutral, censorship-resistant model accessible to all. So just as Bitcoin and crypto provide money/financial rails that sit outside the system, crypto x AI would provide intelligence that sits outside the system.

Such projects aim to create a god model that rivals GPT and LLaMA by decentralising every part of the model creation process - the network sources and prepares data, trains on its own decentralised compute, runs inference on that same compute, and coordinates the whole process through decentralised governance. No part of the process is centralised and thus the model is truly community-owned and uncontrollable by the “Tower”.

Obviously creating a decentralised model that comes anywhere close to rivaling frontier models is going to be extremely difficult. We can’t expect that a large percentage of users will tolerate a worse product for moral reasons. We consider this class of projects to be "moonshots", unlikely to succeed by definition but if they do, would be incredibly valuable - and we sincerely hope they do.
It’s also worth mentioning centralised AI labs, which embrace crypto ideals and are likely to have a token or leverage crypto rails in some other way. @NousResearch, @PondGNN and @PondGNN are some examples that Delphi Ventures has invested in.

Lastly model creation infrastructure such as Bittensor by @opentensor falls under this model part of the stack. Bittensor has been discussed thoroughly elsewhere however so we won’t get into the pros and cons of it here.

Continued:

https://x.com/delphi_labs/status/1834247706103160939?s=09

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đŸ‡ș🇾 President Trump imposes 10% global tariff on all countries and says all tariffs will remain in place, despite Supreme Court ruling.

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🚹10% GLOBAL TARIFF🚹

"Effective immediately, all National Security TARIFFS, Section 232 and existing Section 301 TARIFFS, remain in place, and in full force and effect. Today I will sign an Order to impose a 10% GLOBAL TARIFF, under Section 122, over and above our normal TARIFFS already being charged..."

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How Our Reality Is Manifested ✚ In An Easy To Understand Clip

Filmmaker David Lynch's Diagram for Transcendental Consciousness is one of the greatest, easiest to understand explanations for how our reality is made of MIND first, MATTER second.

I promise this is genuinely worth your time.

It's fantastic. 💯

Learn to meditate free here:
https://heartfulness.org/us/

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👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚹 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
👀 XRP, The Simpsons, 1994 The Man Who Put It All Together 🚀

0:00​ XRP and The Simpsons Plus The Rising Phoenix

2:45​ Dr. Coleman Exposes The Entire System In 1994!

17:40​ Gematria With ISO and Ripple Plus Biblical Significance

25:17​ The Significance of The Original Ripple Logo

28:07​ Institut Montaigne Document Highlights Ripple
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30:35​ Chatham House Significance Plus Meld Gold and The XRPL
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44:58​ HSBC and Credit Suisse Significance Plus Otto B and Ripple
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56:09​ Closing Comments

⚠ Gold reclaims $5,100

Feb-21st Live Webinar ! How To Physically Rewrite Your Internal State Using Ultrasound

On February 21st at 11am PST, Sterling Cooley is revealing the tools the mainstream isn't ready for you to use at home. https://skool.com/vagus/feb-21st-live-webinar-how-to-physically-rewrite-your-internal-state-using-ultrasound

Most people treat the Vagus Nerve like a static biological wire. They are wrong.

It is a dynamic, vibrating gateway that can be re-tuned through Ultrasound Neuromodulation.

Your nervous system is not a machine; it is a symphony that has been played out of tune for decades.

We have been conditioned to believe that healing requires chemical intervention or talk therapy that barely scratches the surface.

What if the master key to your consciousness isn’t a pill, but a precise acoustic frequency?

We are demonstrating how to physically rewrite your internal state using ultrasound.

On February 21st at 11am PST, Sterling Cooley will demonstrate the tools for ultrasound application.
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Arrive 30 minutes early for a sonic immersion of new music to ...

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🧬VINDICATED! The Epstein Files Connect Gates, Pandemics & Censorship to a Globalist Blueprint for a Biosecurity State🧬

Every warning. Every documentary. Every article. Every post that got us banned. All of it was true. Now what? What can we do? Read on, share this Substack, help us save lives! The Light is shining! ✹

Well, well, well
 look what the cat dragged in.

Actually, scratch that. Look what the Department of Justice finally dragged out of Jeffrey Epstein’s email inbox and dumped on the world’s doorstep like a rotting corpse nobody wanted to claim. Yep, that’s right. The Epstein files. It’s hilarious how the “Democratic hoax” and “fantasy” client list we were all told didn’t exist suddenly became a very real, very unsealed document.

For years—years—they called us conspiracy theorists. They slapped “misinformation” labels on our posts faster than Pfizer could print liability waivers. They kicked us off platforms, lied about us in the media, and shadow-banned our reach. Meanwhile, the real conspiracy—the one typed out in black-and-white emails between billionaires, bankers, and a convicted pedophile—was sitting in a government vault, waiting to prove us right.

And now? Now the receipts are public.

The release of Jeffrey Epstein’s files has done far more than expose a network of elite pedophilia and blackmail—it has vindicated truth-tellers like us and countless others who were smeared, censored, de-platformed, and persecuted for warning about the sinister agendas of the globalist elite. The documents reveal shocking connections between Epstein, Bill Gates, pandemic planning, and the systematic suppression of anyone who dared to connect the dots.

We weren’t crazy. We were just early. And they hated us for it.

Epstein, Gates, and the Pandemic “Business Model” They Built Together

One of the most damning revelations from Epstein’s files is his partnership with Bill Gates. Forget the carefully crafted PR spin about “regretting” those meetings. These weren’t casual dinners. These were planning sessions.

Back in 2015, Gates and Epstein exchanged emails about “preparing for pandemics” and strategies to “involve the WHO.” Gates wrote: “I hope we can pull this off.”

How’s that for a chill down your spine?

This eerily foreshadowed the 2019 Event 201 simulation—a pandemic exercise hosted by the Gates Foundation, Johns Hopkins, and the World Economic Forum that just happened to model a global coronavirus outbreak
 just months before COVID-19 ”mysteriously” emerged in Wuhan. Funny how that works, isn’t it?

But let’s rewind even further, to the real blueprint—the financial architecture that made the pandemic response not just possible, but profitable.

The story crystallizes in a chilling 2011 email exchange. Juliet Pullis, a JPMorgan executive under then-chairman Jes Staley, emailed Jeffrey Epstein with a list of detailed questions. The source? “The JPM team that is putting together some ideas for Gates.”

The questions were precise: What are the objectives? Is anonymity key? Who directs the investments and grants? This wasn’t JPMorgan consulting an expert; it was a trillion-dollar bank asking a convicted felon to architect a billion-dollar philanthropic fund for Bill Gates.

This wasn’t JPMorgan consulting a philanthropic expert. This was a trillion-dollar bank asking a convicted felon to architect a billion-dollar philanthropic fund for one of the richest men on Earth. Let that marinate for a moment.

Epstein’s reply was fluent and commanding. He described a donor-advised fund with a “stellar board” and ties to the Gates-Buffett “Giving Pledge.” He noted the billions already pledged and identified the gap: “They all have a tax advisor, but have no real clue on how to give it away.” His solution? “JPM would be an integral part. Not advisor
 operator, compliance.“ Staley’s response: “We need to talk.”

By July 2011, the plan evolved. In an email to Staley, copying Boris Nikolic (Gates’ chief science advisor), Epstein laid out the core pitch: “A silo based proposal that will get Bill more money for vaccines.”

Not “more research for pandemics.” Not “better public health infrastructure.” “More money for vaccines.” This is the unambiguous language of capital formation, not charity. It reveals the structure’s intended output planning reached the highest levels.

In August 2011, Mary Erdoes, CEO of JPMorgan’s $2+ trillion Asset & Wealth Management division, emailed Epstein (while on vacation) with additional operational questions.

Epstein’s reply was breathtaking in scope:

  • Scale: “Billions of dollars” in two years, “tens of billions by year 4.”

  • Structure: Donors choose from “silos” like mutual funds.

  • The Kicker: “However, we should be ready with an offshore arm — especially for vaccines.”

An offshore arm. For vaccines. For a charitable vehicle. Let that sink in.

So, by the time the world was panicking in March 2020, the financial machinery was already built. The investment vehicles, the donor-advised funds, the reinsurance products at places like Swiss Re, and even the simulation playbooks were dusted off and ready to go.

The pandemic wasn’t an interruption to their business—it was the Grand Opening.

Epstein’s role extended far beyond trafficking; he was a facilitator and blackmail operative for the global elite. The same forces that orchestrated the COVID-19 power grab—the mask mandates, lockdowns, censorship, and coercive mRNA push—are the ones who silenced critics like us.

Gates, despite his documented ties to Epstein (multiple flights on the “Lolita Express” after Epstein’s 2008 conviction), walks freely. He’s on TV. He’s advising governments. He’s still funding “global health initiatives” and pushing digital IDs, vaccine passports, and climate lockdowns.

Meanwhile, people like our friend, Joby Weeks, are under house arrest without charges, and voices like ours were de-platformed, demonetized, and destroyed for saying this very thing.

We told you. You knew it in your gut. Now you have the emails.

Censorship: The Elite’s “Misinformation” Label to Cover Their Crimes

The Epstein files expose not just criminal behavior, but the playbook for the systematic suppression of truth. While Epstein’s powerful friends were being protected by the FBI, the DOJ, and the media, platforms like Facebook (Meta), YouTube (Google), and Twitter went to war against anyone talking about it.

Think about the sheer audacity.

We were banned from social media for calling COVID-19 a “fake pandemic” and exposing the vaccine injury data that’s now undeniable.

Below is a screenshot of the first Facebook post that was taken down and then used as “Exhibit A” in their “reports” about how bad we were, naming us the 3rd most dangerous people on earth after Dr Joseph Mercola and Bobby Kennedy in the digital hit list they called the “Disinformation Dozen.” They attacked us, lied about us, and pressured the media, social media, and population at large to do the same: attack, threaten, and cast us out.

We were labeled “dangerous” for sharing emails, documents, and research that the DOJ and the CDC have now confirmed.

It was never about “safety.” It was about narrative control.

The same institutions that turned a blind eye to Epstein’s crimes for decades—the same ones that let him “commit suicide” in a maximum-security prison with cameras conveniently malfunctioning—suddenly became the ruthless hall monitors of “acceptable discourse,” ensuring only their approved stories could be told.

Big Tech, Big Media, and Big Government are all part of the same protection racket. They shielded Epstein’s client list, and now they shield the architects of the pandemic debacle. Independent journalists, researchers, and health advocates like us, who connected these dots, were systematically de-platformed, demonetized, and destroyed.

Why? Because we were right, and that was the greatest threat of all.

When you’re over the target, that’s when the flak gets heaviest. And brothers and sisters, we were getting shelled.

They Lied About Us While Protecting the Real Criminals

Let’s be crystal clear about what happened here.

We have spent decades exposing the cancer industry, Big Pharma’s corruption, and the suppression of natural health solutions. We produced The Truth About Cancer docu-series, reaching millions worldwide. We warned about vaccine injuries, censorship, and the coming medical tyranny years before COVID-19.

And what did they do? They called us “Conspiracy Theorists,” “Anti-Vaxxers,” and “Killers.” Dangerous.

They said we were killing people with “misinformation.”

Facebook banned us. YouTube deleted our videos. Legacy media ran hit pieces. PayPal froze our accounts.

All while Bill Gates—a man with documented ties to Jeffrey Epstein, who flew on his plane multiple times after Epstein’s conviction, who got STDs from Russian girls Epstein provided for him for which Gates asked Epstein’s help getting him antibiotics to slip secretly to his then wife, Melinda, so that she would not know about his inexcusable and perverted escapades—yes, THAT Bill Gates—was at the same time, being platformed on every major news network as the world’s health oracle.

All while Anthony Fauci—who funded gain-of-function research in Wuhan through Peter Daszak and EcoHealth Alliance, who lied under oath to Congress, who flip-flopped on masks, lockdowns, and vaccines—was treated like a saint. Time Magazine’s “Guardian of the Year.”

All while Pfizer—a company with a $2.3 billion criminal fine for fraudulent marketing, bribery, and kickbacks—was given blanket immunity from liability and billions in taxpayer dollars to produce a vaccine in record time with no long-term safety data.

Were we the dangerous ones?

No.

We were the truthful ones. And that made us the enemy.

The Weaponized Institutions: From Epstein’s Blackmail to Your Digital ID

Epstein’s operation was never just about blackmail for perversion; it was blackmail for control. The files show his cozy ties to intelligence agencies (Mossad, CIA), financial giants like JPMorgan and Deutsche Bank, and political leaders across the globe.

This is the same cabal now pushing:

  • The Great Reset

  • Digital IDs

  • Central Bank Digital Currencies (CBDCs)

  • 15-minute cities

  • Carbon credit social scoring

  • Vaccine passports

Let’s connect the dots they desperately don’t want you to see:

Financial Control:

JPMorgan banked Epstein for years despite clear red flags—over $1 billion in suspicious transactions flagged internally and ignored. They knew. They didn’t care. They paid a $290 million fine and moved on.

Now, banks like Bank of America, Chase, and PayPal de-bank conservatives, truckers, health freedom advocates, and anyone who questions the narrative. Canadian truckers. Gun shops. Crypto entrepreneurs. The goal is the same: punish dissent and control economic life.

CBDCs are the endgame—a digital leash on every citizen. Programmable money that can be turned off, restricted, or expired. Social credit by another name.

Medical Tyranny:

The FDA, CDC, and WHO—utterly captured by Big Pharma—lied about:

  • COVID origins (Wuhan lab leak dismissed as conspiracy theory)

  • Vaccine efficacy (”95% effective” turned into “you need boosters forever”)

  • Natural immunity (ignored despite being superior)

  • Early treatments (ivermectin, hydroxychloroquine, vitamin D censored and mocked)

They attacked natural health advocates just as they’ve done for decades with cancer cures, detox protocols, and anything that threatens Big Pharma profits. They are not health agencies; they are profit-enforcement arms dressed in lab coats.

Political Corruption:

Epstein’s blackmail ensured elite immunity. His client list includes presidents, princes, CEOs, scientists, and media moguls.

Meanwhile, true dissidents—Julian Assange (tortured in prison for journalism), Edward Snowden (exiled for exposing mass surveillance), and journalists like us—face persecution, imprisonment, debanking, slanderous hit pieces, and/or constant character assassination.

Two systems of justice: one for them, one for you. One for Epstein’s friends, one for truth-tellers.

The Way Forward: They’re Exposed. Now It’s Time to Build.

The Epstein files are more than proof; they are a declaration that the system is rotten to its core. But here’s the beautiful part: they vindicate us completely.

Every warning. Every documentary. Every article. Every post that got us banned. All of it was true.

The globalists’ grip is weakening. The truth—the real, ugly, documented truth—is erupting from the very files they tried to hide. They labeled us liars, but the emails show they were the architects. They silenced us, they censored us, but that only made our voices more necessary.

Epstein did not kill himself. COVID-19 was not natural. The vaccines were not safe or effective. The censorship was not about protecting you—it was about protecting them.

And now? Now it’s time to use this vindication as fuel. Not for revenge, but for revolution. A revolution of truth, health, freedom, and justice.

They tried to bury us. They didn’t know we were seeds.

The Epstein files are a smoking gun. A paper trail. A confession written in emails, financial structures, and offshore accounts.

They prove what we’ve been saying all along:

  • The system is rigged.

  • The elites are criminals.

  • The pandemic was planned.

  • The censorship was coordinated.

And we were right. 👍

Source

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💳Citi’s Strategy to Dominate Institutional Payments💳

Citi's Institutional Payments Strategy

Citi’s Strategy to Dominate Institutional Payments is built on a foundation of technological innovation, strategic simplification, and a laser focus on institutional clients. The bank has transitioned from a fragmented global retail bank to a streamlined provider of high-margin institutional services, with its Treasury and Trade Solutions (TTS) and Securities Services segments now considered its "crown jewel." This shift, led by CEO Jane Fraser, involved exiting 14 international consumer markets and slashing decades of "tech debt" through a multi-billion-dollar partnership with **Google Cloud**, creating a modern, unified data and cloud infrastructure.

At the core of Citi’s dominance in institutional payments is Citi Token Services, a blockchain-powered platform launched in September 2023. This service converts client deposits into digital tokens, enabling 24/7, real-time cross-border payments, automated trade finance, and just-in-time liquidity management. By using private blockchain technology managed entirely by Citi, clients avoid the need to host their own nodes. The solution has been successfully piloted with Maersk and a canal authority, demonstrating how smart contracts can reduce transaction times from days to minutes—mirroring the functions of traditional bank guarantees and letters of credit.

Citi is further strengthening its position through strategic partnerships, such as its collaboration with Coinbase to expand digital asset payment solutions for institutional clients, enabling seamless fiat-to-crypto transitions. The bank is also leveraging generative AI to automate regulatory compliance, improve cash forecasting by 50%, and reduce operational case times by 90%, directly enhancing the efficiency and reliability of its payment services.

With a global network spanning 95 countries and a focus on real-time, transparent, and programmable financial services, Citi is redefining the institutional payments landscape. Its strategy—centered on infrastructure modernization, digital asset innovation, and client-centric automation—positions it to capture market share from both traditional banks and fintechs, particularly as cross-border instant payments become the norm by 2028.

As blockchain infrastructure inches closer to the core of global finance, a consequential debate is taking shape inside banks and among institutional investors.

What form of digital money will ultimately dominate on-chain settlement?

Stablecoins have so far captured the spotlight, buoyed by rapid adoption and growing regulatory attention. But a different shift is underway inside the banking sector, where executives are increasingly confident that tokenized bank deposits, and not privately issued stablecoins, could become the preferred on-chain dollar for institutional and wholesale use.

“We don’t start with the asset,” Biswarup Chatterjee, global head of partnerships and innovation, Citi Services at Citi, told PYMNTS. “We typically start with our client need, and then we look at the pros and cons of each type of asset or financing instrument.”

For institutional money, innovation can often begin with constraint.

“When you’re dealing with money as a financial institution, you’re acting in a fiduciary capacity,” Chatterjee said, framing why safety and soundness dominate early conversations with clients.

From that perspective, the critical questions around new digital instruments are regulatory and operational before they are technological. Are these assets well-regulated? Do they operate within clearly defined legal frameworks? Can they be governed with the same rigor as traditional deposits or securities?

For institutions that manage systemic liquidity, and their clients, those questions are becoming non-negotiable. Within that context, tokenized deposits are what is emerging as a natural evolution of existing bank money.

“Within the bank’s network, tokenized deposits are an efficient way for our clients to be able to get that 24/7, always-on availability,” Chatterjee said.

The Race to Define the On-Chain Dollar for Institutional Use

By anchoring decisions in client economics and workflows, banks are positioning themselves less as promoters of specific technologies and more as integrators tasked with assembling the right mix of tools for each use case. Institutional clients are not simply looking for digital replicas of existing money; they are grappling with the friction of moving funds across use cases and jurisdictions.

“There’s this constant need to transform money across its various forms and shapes,” Chatterjee said, adding that payments, working capital and financing increasingly overlap, and inefficiencies emerge when money cannot move fluidly between those roles.

By representing deposits on distributed ledgers, banks can offer real-time movement of money across accounts, entities and geographies without leaving the regulated perimeter. For enterprises and institutions, this promises faster settlement, improved liquidity management and reduced operational friction, all without introducing new balance sheet or counterparty risks.

In this sense, tokenized deposits may turn out to be less disruptive than they appear. They modernize the plumbing of banking rather than bypassing it, extending familiar money into programmable environments.

Regulation, Interoperability and the Velocity of Money

The moment money exits a bank’s direct network, however, the strengths of tokenized deposits begin to fade. Cross-border payments, underbanked regions and counterparties outside major financial institutions can expose gaps in reach and efficiency when it comes to tokenized deposits.

This is where Chatterjee said he sees a role for stablecoins, not as competitors to banks, but as connective tissue.

“When money leaves the bank’s network and goes out into the external ecosystem, that’s where we see the role of stablecoins coming in,” he said, assuming they operate in a “very safe and sound and regulated manner.”

The result is likely to represent not a binary choice but a continuum. Just as checks, wires, cash and instant payments coexist today, digital money is likely to fragment into specialized forms optimized for different environments.

At the heart of the impact financial blockchain is having on digital money’s evolution lies a deceptively simple question: What makes money “good”?

For Chatterjee, the answer hinges on universal acceptance and trust.

“What makes a currency strong 
 has a lot to do with universal acceptance,” he said.

Assets that cannot be readily transferred or accepted risk becoming stranded, unable to circulate productively; while trust is fundamental to the value and stability of money, no matter its form. That logic applies equally to tokenized deposits and stablecoins. Without trust and transferability, neither is likely to function as a true institutional settlement asset.

Despite the focus on tokens and technology, Chatterjee was clear about where long-term value resides. It is not in the token itself, but in service.

“Client service and the client experience is what is going to drive the winning proposition,” he said.

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New Allegations Link Former National Intelligence Leaders Clapper and O’Sullivan to UFO Shoot-Down and Retrieval Program

Written by Christopher Sharp - 24 January 2026

Multiple sources have told Liberation Times that, during the Obama administration, senior intelligence figures James Clapper and Stephanie O’Sullivan oversaw a program relating to Unidentified Anomalous Phenomena (UAP) within the Office of the Director of National Intelligence. 

The sources allege the effort involved the shootdown and recovery of exotic vehicles thought to be of non-human origin.

Three separate sources told Liberation Times that Clapper allegedly ran the program alongside O’Sullivan, dating back to his tenure as Under Secretary of Defense for Intelligence from 2007 to 2010

During that period, O’Sullivan led the CIA’s Directorate of Science and Technology before being promoted in 2009 to become the agency’s third-most senior officer.

One source alleged to Liberation Times that Clapper and O’Sullivan oversaw a program codenamed ‘Golden Domes,’ which the source claimed was jointly run by the CIA and the United States Air Force (USAF), where Clapper previously served.

The source further alleged that the program could detect and track UAP even when ‘cloaked’ and as they physically manifested.

The same source claimed the program employed a mix of electronic and laser-based capabilities intended to bring down what the source described as ‘exotic non-human vehicles.’

Sources were unable to offer Liberation Times a clear explanation for why the U.S. government would choose to engage UAP, including whether any such actions were taken routinely, in specific circumstances, or in relation to any potential understandings or rules of engagement involving other purported non-human factions.

In the recently released documentary ‘The Age of Disclosure’, James Clapper alleged that a secretive USAF program had been actively monitoring UAP, particularly over the highly classified Area 51 facility in Nevada - an epicentre of cutting-edge military development and testing.

Clapper, a former Chief of USAF Intelligence, stated:

“When I served in the Air Force, there was an active program to track anomalous activities that we couldn’t otherwise explain - many of them connected with ranges out west, notably Area 51.”

In a recent interview with journalist Megyn Kelly, former intelligence official, USAF veteran, and UAP whistleblower David Grusch claimed that James Clapper managed a UAP program, stating:

“I'm a little bit disappointed as a fellow Air Force officer
. That's all he said in the documentary: that there was a program he was aware of. 

 

“In fact, without being inappropriate, I will say that General Clapper was well aware of the crash retrieval issue, managed the crash retrieval issue, and, when he was a DNI [Director of National Intelligence], USDI [Undersecretary of Defense for Intelligence and Security], DIA [Defense Intelligence Agency], he placed people in critical roles to manage this issue, both publicly - and I'll just say not publicly as well - and I'll allow the audience to distill what I'm saying at the, at the risk of being inappropriate or going too far with my discussion. 

 

“So General Clapper, Stephanie O’Sullivan, other folks in the IC [Intelligence Community] that are well aware of this issue, that were in rooms discussing this issue, I ask you to be greater leaders on this. I should not be the only former military officer and intelligence official that is being completely candid with the information that they were exposed to.”

Grusch’s lawyer, Charles McCullough III served as the Intelligence Community Inspector General, reporting directly to then–Director of National Intelligence James Clapper.

In that role, according to his biography, McCullough ‘oversaw intelligence officers responsible for audits, inspections, and investigations. Furthermore, he was responsible for inquiries involving the Office of the Director of National Intelligence as well as the entire Intelligence Community.’

                            Above: Charles McCullough, III and James Clapper

Grusch, in that same interview, also alleged that former Vice President Dick Cheney, who has since died, was the “closest person” to a “mob boss,” exerting “central leadership” over UAP-related activities.

Notably, Dick Cheney’s wife, Lynne Cheney, served on Lockheed Corporation’s board of directors from 1994 to 2001.

Against that backdrop, in written testimony to Congress, Lue Elizondo, the former director of the Pentagon’s Advanced Aerospace Threat Identification Program, claimed that Naval Air Station Patuxent River in Maryland was among the sites prepared in connection with an alleged transfer of UAP materials to Bigelow Aerospace from Lockheed Martin - an organisation long accused of involvement in an alleged UAP reverse-engineering program.

In a 2013 Fox News interview, Dick Cheney said he first met James Clapper around 25 years earlier, when Clapper was serving as a USAF intelligence officer in Korea.

James Clapper served as the fourth Director of National Intelligence under President Obama from August 2010 to January 2017. Before that, he was Under Secretary of Defense for Intelligence from 2007 to 2010 under President George W. Bush and Vice President Dick Cheney.

Clapper also previously served as Director of the National Geospatial-Intelligence Agency and Director of the Defense Intelligence Agency. 

In his book Facts and Fears, he recounts how he was assigned as the USAF senior resident officer at the National Security Agency (NSA) to represent Air Force interests. In February 1980, then-NSA Director Vice Admiral Bobby Inman presided over Clapper’s promotion to colonel, as he assumed responsibility for all Air Force personnel stationed at the NSA.

Clapper writes in his book that he served as an intermediary for Vice Admiral Bobby Inman, whom he describes as “an icon and a legend” and who has also been alleged to be a UAP gatekeeper.

Inman was clearly aware of the link between O’Sullivan’s former office and UAP-related matters. In a now-public phone call with NASA engineer Bob Oechsler, Inman said that Everett Hineman, then Deputy Director of the CIA’s Directorate of Science and Technology, would be “the best person” to ask whether any recovered UAP vehicles might be made available for technological research outside military channels.

Notably, former NSA administrator Mike Rogers has recalled in an interview that, while serving as Director of National Intelligence, Clapper unexpectedly ordered him and his team to review the NSA’s files and provide everything relating to UFOs.

Upon being nominated as Director of National Intelligence by President Obama in 2010, Clapper was described as having developed close ties to the intelligence community during his long career and is particularly close to senior managers at the CIA.

In 2011, Clapper recommended that President Obama nominate Stephanie O’Sullivan as Principal Deputy Director of National Intelligence (PDDNI). 

Before her nomination, O’Sullivan served as the CIA’s Associate Deputy Director from December 2009 to February 2011, working alongside the Director and Deputy Director to provide overall leadership of the agency, with a particular focus on day-to-day management. 

                                                Above: Stephanie O’Sullivan

Before that, she served as the CIA’s Deputy Director of Science and Technology for 4 years. According to Liberation Times sources, the CIA’s Directorate of Science and Technology has and continues to be involved in coordinating UAP retrieval missions and safeguarding technologies derived from UAP-related research carried out by the Department of War (DoW) and its contractors.

Based on the best available open source information, previous Deputy Directors of the CIA’s Directorate of Science and Technology include:

  • Albert Wheelon 1963-1966

  • Carl Duckett 1966-1967

  • Leslie Dirks 1967-1982

  • R. Evan Hineman 1982-1989

  • James Hirsch 1989-1995

  • Ruth David 1995-1998

  • Gary Smith 1999-1999

  • Joanne Isham 1999-2001

  • Donald Kerr 2001-2005

  • Stephanie O’Sullivan 2005-2009

  • Glenn Gaffney 2009-2015

  • Dawn Meyerriecks 2015-2021

  • Todd Lowery 2021-present

In his book, ‘Facts and Fears’, Clapper writes that he knew O’Sullivan by reputation as a brilliant technical engineer, and that then-CIA Director Leon Panetta put her forward to him as his deputy - someone who could help cover his blind spots when CIA-related issues arose. 

Clapper describes the day of O’Sullivan’s confirmation to PDDNI - a title O’Sullivan jokingly referred to as ‘P-Diddy’ - as ‘an extremely happy one’. Their working relationship within the ODNI was extremely close, and Clapper has written that he learned to adopt the line “Stephanie speaks for me, even when we haven’t spoken.”

O’Sullivan entered the intelligence world after responding to a cryptic newspaper classified advert seeking an “ocean engineer”. That move led her to TRW, the defense contractor absorbed into Northrop Grumman, and later the Office of Naval Intelligence. Liberation Times sources allege that Northrop Grumman’s Tejon Ranch Radar Cross Section Facility in southern California is a site where UAPs are routinely retrieved.

Since her retirement from government in 2017, O’Sullivan now serves as a member of the Board of Trustees of the Aerospace Corporation and is on the Board of Directors of Battelle Memorial Institute. 

Battelle and The Aerospace Corporation have both been referenced publicly in connection with UAP programs. 

Sources also note that O’Sullivan sits on the board of HRL Laboratories, formerly Hughes Research Laboratories, part of the wider Hughes corporate legacy that is closely associated with the Hughes Glomar Explorer, the vessel later linked to the CIA’s effort to recover a sunken Soviet submarine.

Sources told Liberation Times that Stephanie O’Sullivan has been questioned by the Senate Select Committee on Intelligence about her alleged role in a UAP program. 

The sources further allege that she misled committee members, including then Senator Marco Rubio, now Secretary of State, by nervously claiming that she had no involvement.

Allegations of kinetic engagement have surfaced in other contexts. 

In written testimony submitted to Congress, journalist George Knapp relayed what he said he was told by figures linked to a former Russian Ministry of Defense UAP program: that Russian fighter aircraft were dispatched to intercept UAP on numerous occasions and, in a small number of cases, were ordered to fire. 

Knapp wrote that after several alleged incidents in which aircraft subsequently crashed, a standing order was issued instructing pilots to disengage and ‘leave the UFOs alone because, quote, “they could have incredible capacities for retaliation.”’ 

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