Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.
Category: robotics/AI – Page 431
Elon Musk Admits Tesla Could Hit $20 Trillion, Robotaxi Skeptics Still In Denial
Questions to inspire discussion.
đ» Q: How did the Cybertruck perform in safety tests? A: The Cybertruck received a 5-star rating from NITSA, achieving the lowest overall probability of injury and lowest chance of rollover ever for a tested pickup truck.
đ€ Q: What role do humanoid robots play in Teslaâs future valuation? A: Teslaâs humanoid robots at massive scale are considered a key factor in reaching a potential $20 trillion valuation, according to Elon Muskâs modeled scenarios.
Expansion of Autonomous Services.
đ Q: What are Teslaâs plans for robotaxi service in San Francisco? A: Tesla plans to launch a robotaxi service in San Francisco this weekend, with drivers in the driverâs seat to collect data for regulatory approval.
đ Q: How quickly is Tesla expanding its robotaxi service in Austin? A: Teslaâs autonomous vehicles have collected thousands of intervention-free drives in Austin, with robotaxis expanding their service area in less than 3 weeks after launch.
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Beyond Transformers: Why Graph Neural Networks Are the Next Frontier in AI
In contemporary artificial intelligence, transformers are everywhere, changing the way we do everything from natural language processing to computer vision. People have rushed to play with GPT-4 and other AI text models built on top of Transformer architectures because the machines are capable of solving problems they previously couldnât, riffing stories, code or poetry, creating images from sentences, even speaking like Turing test-worthy humans. But as artificial intelligence improves, researchers have found that a grid-based or sequential approach to data has increasingly stringent constraints. And thereâs a new AI technology that holds the potential of unraveling the mysteries that our complex and interconnected world holds around us: Graph Neural Networks (GNNs).
AI turns immune cells into precision cancer killersâin just weeks
A breakthrough AI system is revolutionizing cancer immunotherapy by enabling scientists to design protein-based keys that train a patient s immune cells to attack cancer with extreme precision. This method, capable of reducing development time from years to weeks, was successfully tested on known and patient-specific tumor targets. Using virtual safety screenings to avoid harmful side effects, the platform represents a leap forward in personalized medicine.
Protein Core Stability Rules Open Door for Faster Protein Design
Interestingly, the model remained accurate despite the diversity of natural domains and the divergence over such a long time spanâsome domains sharing less than 25% of their sequences between species.
âEvolution didnât have to sift through an entire universe of sequences. Instead, the biochemical laws of folding create a vast, forgiving landscape for natural selection,â said Escobedo.
The field of protein engineering and design often relies on the concept that making small incremental changes to structure, followed by experimentally screening variants, is necessary. However, with the increasing use of machine learning and AI, this expectation is increasingly being pushed aside. The present work suggests that while not all proteins with significant core changes are functional, large-scale redesigns, including changes to core domains, may retain stability, challenging assumptions that such regions are off-limits.
Cryonics in Space, Cryostasis Repair Science & Revival Ethics
Cryonics in space, cryostasis repair science, and revival ethics and planning are converging in 2025 to shape a bold new vision for life extension and post-biological freedom.
Join us Thursday, July 31 at 6 PM EST for a virtual service featuring two of cryonicsâ leading voices:
Rudy Hoffman â Immortality Through Innovation.
Rudy opens with the visionary idea of cryonics in space and shares how todayâs planning toolsâannuity structures, revival trusts, and insurance-backed systemsâsupport long-term access to biostasis. He ends with a powerful call to preserve freedom in the era of revival governance.
Alex Crouch â The Bridges to Reanimation.
Founder of Revival Research Group, Alex outlines the six bridges of cryostasis repair science, covering nanotech repair, AI orchestration, simulation, and bioprinting. His roadmap aims to make revival a transparent, collaborative goal.
Opening remarks by Neal Vanderee, officiator of the Church of Perpetual Life, connecting science, spirit, and future readiness.
Schedule: