Exclusive! Palantir Hit With Massive Lawsuit Over “Synthetic Intelligence” - The End of Free Will (Video)

In this 26 June 2026 published video, host Clayton Morris from Redacted News Podcast talks about the new with Palantir being hit with massive lawsuit over synthetic intelligence.

Synthetic Intelligence (SI) represents a shift from traditional Artificial Intelligence (AI) by focusing on genuine, engineered machine cognition rather than just mimicking human outputs. While AI relies on statistical patterns to simulate behavior, SI focuses on independent reasoning, autonomous goal formation, and true conceptual understanding.

Unlike a synthetic diamond, which is a genuine diamond grown in a lab rather than mined from the earth, SI is considered a genuine form of intelligence that happens to be human-made. Standard AI generally acts like a sophisticated parrot; it calculates statistical probabilities and predicts what comes next. SI systems, however, are architecturally designed to reason, adapt, and learn from experience rather than solely relying on massive, pre-existing training datasets. These systems often explore problem-solving using mechanisms and cognitive frameworks completely different from human cognition. This allows them to uncover strategies and solutions that a human-programmed AI might overlook.

To move beyond statistical inference and into true machine reasoning, SI relies on several foundational technologies. Neuromorphic hardware are physical microchips designed to mirror the biological structures of human neurons and synapses, processing memory and sensory data in parallel. The frameworks are being built to mimic biological attention, memory consolidation, and goal-setting. Hybrid modeling is happening, which is the integration of computation, biology, and sometimes living brain tissue to create flexible, learning-capable minds.

Many researchers and developers advocate for the term “SI” over “AI” because of the negative or deceptive connotations associated with “artificial”. The phrase “artificial” often brings to mind fake or counterfeit goods, whereas “synthetic” emphasizes an authentic product purposefully created to function exceptionally well.

Because SI does not rely on pre-programmed datasets, it is primarily being developed for complex, unpredictable, and highly creative fields. For scientific research, efforts will be to discover novel medications and materials at a scale impossible for human researchers or narrow-AI tools. Autonomous ecosystems will allow systems (such as autonomous vehicles or space exploration drones) to adapt to entirely new, unseen environments without prior human guidance. SI will create simulated environments where intelligent agents can test scenarios, learn from failures, and evolve independently before interacting with the real world.

Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized the advantages of biological neural systems in some information processing tasks.

https://youtu.be/BXNKLClcPl0