Thread by @artisbrutal2021

"Pope Leo XIV has announced a strategic partnership with Anthropic."🤔

Anthropic co-founder Chris Olah was a co-creator of Google's DeepDream in 2015, serving as the second author on its launch while working as a machine learning researcher at Google Brain ..
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Christopher Olah dropped out of the University of Toronto to join the 2012 class of Thiel Fellows receiving a $100,000 grant from billionaire Peter Thiel’s foundation. "..

🎶Skyfall is where we start🎶

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In 2015, Olah published a landmark visual essay explaining Understanding LSTM Networks .. His blog posts were so influential that they caught the attention of Google Brain leadership.🤔

While Christopher Olah’s visual blog posts caught the attention of Google Brain , a parallel track of radical AI innovation was happening across the Atlantic at Google DeepMind under Demis Hassabis ..

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* Brompton church * TPUK
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The historical timeline connecting Christopher Olah’s visualization work and Demis Hassabis’s deep reinforcement learning also directly intersects with the origins of Deep Instinct, the first company to apply end-to-end deep learning exclusively to cybersecurity."..

As Hassabis proved that deep networks could solve complex, multi-layered cognitive problems , and Olah proved that neural layers can map out and identify intricate visual strings, cybersecurity researchers realized these same architectures could be weaponized for digital defense.

When Deep Instinct was founded in 2015—the exact same year Olah co-created DeepDream and Hassabis’s AlphaGo was preparing for its historic public match—it adopted the exact same engineering philosophy as Google Brain and DeepMind.

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The intersection of these three trajectories demonstrates how 2015 was a pivotal turning point for modern AI ..

Deep Instinct was established in 2015 by Israeli tech entrepreneurs and AI researchers Guy Caspi , Dr. Eli David, and Nadav Maman.

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DeepCube is an Israeli AI acceleration company co-founded in 2017 by Dr. Eli David and Yaron Eitan. Rather than focusing on cybersecurity or scientific models, DeepCube was built as a specialized software-based inference engine designed to make deep learning models run faster.

Darktrace provides the missing architectural piece to the "DEEP" ecosystem.

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Long before Palantir or Darktrace dominated enterprise data mining, a data analytics firm named Chiliad was founded in the early 2000s. It became a critical data-surveillance architecture used by the FBI "..🎶🐈‍⬛

Chiliad was co-founded by Christine Maxwell (the internet pioneer sister of Ghislaine Maxwell and daughter of media tycoon Robert Maxwell) alongside Alan Wade.

The CIA/USGIF Nexus: Alan Wade went on to serve as the Chief Information Officer (CIO) of the CIA ..

He later became deeply embedded in organizations like the United States Geospatial Intelligence Foundation (USGIF), which bridges private defense contractors with the National Geospatial-Intelligence Agency (NGA)."..🐈‍⬛🎶

This blueprint—using venture capital and specialized intelligence-alumni networks to fund massive backend data-collection engines—is exactly why skeptics trace Darktrace's lineage back to the same "spook tech" funding pipelines".. 🎶

Darktrace was famously incubated and backed by Invoke Capital, a fund run by the late Mike Lynch , drawing heavily on mathematics talent from the UK's GCHQ "..🎶🐈‍⬛

The CIA/USGIF Nexus:

Project Maven’s transition to the National Geospatial-Intelligence Agency (NGA) in 2022 marked a critical turning point where operational military AI fused directly with the global geospatial intelligence apparatus ..

This structural evolution relies heavily on the exact same underlying engineering mechanics pioneered by public companies like Crimson Hexagon and Cambridge Analytica : the transformation of unorganized, mass-scale data into weaponized, predictive behavioral maps."..🎶🐈‍⬛

Project Maven (officially the Algorithmic Warfare Cross-Functional Team) was originally launched by the US Department of Defense in 2017 to automate the processing of massive video feeds from drones over combat zones."

Gemini hallucination incoming 🔴👇

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We'll do a deep dive on that later.👆
Let's continue with the surface stuff..

" Scale AI rose to become a key infrastructure contractor for the U.S. Department of Defense by building a dual-sided marketplace that abstracts military data labeling behind commercial digital platforms ..

Scale AI operated a massive global crowdsourcing platform called Remotasks (alongside its platform). To the workers signing up online,the platform appeared as a standard gig-economy site offering small financial payouts for completing repetitive tasks.🎶🐈‍⬛ Outlier.ai

Scale AI focused its recruitment on economically depressed regions with high internet penetration but low local wages, heavily concentrating workforces in the Philippines, Kenya, Venezuela, and parts of Latin America ."..🎶🐈‍⬛

To maintain strict operational security for defense clients, Scale AI chunks massive intelligence data into tiny, contextless snippets. A worker in a rural province ..entirely unaware they are actually labeling missile silos or convoys for an active military targeting matrix.🎶🐈‍⬛

While Scale AI focuses on generating the raw labeled data, Palantir builds the overarching software environment— Palantir Foundry and Gotham —that synthesizes this information for active military use.

The Government Cloud Ecosystem: Palantir provides the secure, cleared cloud hosting environments (Impact Level 5 and 6) where sensitive military data lives.🤔

Unlike Scale AI’s reliance on unvetted global gig-workers for unclassified data, Palantir recruits heavily from former US military intelligence, defense contractors, and computer science graduates who hold active security clearances. ..

These specialized internal teams run data-curation pipelines inside secured facilities (SCIFs) to label highly classified tactical targeting imagery .".

Tracing the hidden architecture of the modern AI supply chain reveals a striking overlap where the data-harvesting pipelines of platforms like Scale AI converge with network elements historically linked to the Jeffrey Epstein intelligence and funding nodes.

2. The Ancestral Pipeline: Epstein’s Focus on AI and Genomics

The relationship becomes structural when looking at how the early money behind today’s deep learning architectures was allocated :


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Declassified investigative reports show that Epstein actively partnered with figures like former Israeli Defense Minister Ehud Barak to flip battlefield-tested biometric and facial recognition scanning systems into international trade deals. ..