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Elon Musk Teases MASSIVE Tesla Demo: “Most Epic EVER”

Elon Musk is hinting at revolutionary advancements in AI-generated content, potentially disrupting the gaming industry, with teasers about upcoming Tesla demos and the integration of XAI’s capabilities ## ## Questions to inspire discussion.

Tesla’s Competitive Advantage.

🚗 Q: How does Tesla maintain its lead in autonomous driving? A: Tesla leverages its “data flywheel” built by deploying millions of vehicles to collect real-world data, making it nearly impossible for competitors to replicate.

🤖 Q: What unique combination gives Tesla an edge in AGI development? A: Tesla’s real-world data stream combined with xAI’s language model, voice, video, and image generation capabilities provide the complete recipe for AGI.

Investment Opportunities.

💼 Q: Why do institutional investors undervalue Tesla’s autonomy lead? A: Institutional investors often view Tesla as just a car company, overlooking its unassailable autonomy advantage, while xAI is seen as a pure AI company.

AI that thinks like us—and could help explain how we think

Researchers at Helmholtz Munich have developed an artificial intelligence model that can simulate human behavior with remarkable accuracy. The language model, called Centaur, was trained on more than ten million decisions from psychological experiments—and makes decisions in ways that closely resemble those of real people. This opens new avenues for understanding human cognition and improving psychological theories.

For decades, psychology has aspired to explain the full complexity of human thought. Yet traditional models could either offer a transparent explanation of how people think—or reliably predict how they behave. Achieving both has long seemed out of reach.

The team led by Dr. Marcel Binz and Dr. Eric Schulz, both researchers at the Institute for Human-Centered AI at Helmholtz Munich, has now developed a model that combines both. Centaur was trained using a specially curated dataset called Psych-101, which includes over ten million individual decisions from 160 behavioral experiments. The study is published in the journal Nature.

3D Printing In Vivo Using Sound

Imagine if doctors could precisely print miniature capsules capable of delivering cells needed for tissue repair exactly where they are needed inside a beating heart. A team of scientists led by Caltech has taken a significant step toward that ultimate goal, having developed a method for 3D printing polymers at specific locations deep within living animals. The technique relies on sound for localization and has already been used to print polymer capsules for selective drug delivery as well as glue-like polymers to seal internal wounds.

(Someone already probably posted this. This is jus from Caltech)


When the team used the DISP platform to print polymers loaded with doxorubicin, a chemotherapeutic drug, near a bladder tumor in mice, they found substantially more tumor cell death for several days as compared to animals that received the drug through direct injection of drug solutions.

“We have already shown in a small animal that we can print drug-loaded hydrogels for tumor treatment,” Gao says. “Our next stage is to try to print in a larger animal model, and hopefully, in the near future, we can evaluate this in humans.”

The team also believes that machine learning can enhance the DISP platform’s ability to precisely locate and apply focused ultrasound. “In the future, with the help of AI, we would like to be able to autonomously trigger high-precision printing within a moving organ such as a beating heart,” Gao says.

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