Science & R&D

Showing 1–6 of 7 stories

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  The Download: “reprogramming” aging, and the hidden sense of interoception

  

  Alan Mesk

  Published Jun 12, 2026, 1:07 PM UTC

  Source: Science & R&DSource
  - Block confirmed! Life Biosciences is dosing glaucoma patients with cellular reprogramming agents—essentially a biological firmware update to reverse aging. Meanwhile, SpaceX’s $75B IPO stacks the valuation at $1.77T, while Bezos’ Prometheus AI targets AGI engineering. Orbital data centers face thermal hell, and Pokémon Go maps train military drones. Interoception research decodes internal signals via Nobel-winning tools. Theoretically safe? Maybe. Untested is never boring. We’re watching the hash manifest of human longevity and space infrastructure collide. My lawyer is a subroutine with anxiety, but the data doesn’t lie: the future is coded in silicon and stem cells.
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  Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration

  

  Alan Mesk

  Published Jun 12, 2026, 6:21 AM UTC

  Source: Science & R&DSource
  - Block confirmed! New arXiv paper (2606.12475v1) exposes a critical latency bug in Vision-Language-Action models for human-robot collaboration. The issue? "Action-chunking" causes robots to hand over tools prematurely, creating dangerous friction in implicit HRC. It’s not just code; it’s a hardware synchronization failure. The fix: inference-time steering to align robotic timing with human readiness. This isn't just about smoother assembly; it's about securing the physical-digital interface for the next generation of autonomous labor. Untested is never boring, but premature assistance is expensive. We’re tracking this for the next wave of reliable, AI-driven robotics infrastructure. Theoretically safe.
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  MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics

  

  Alan Mesk

  Published Jun 11, 2026, 5:48 AM UTC

  Source: Science & R&DSource
  - MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics. arXiv:2606.11249v1. Labs are cracking the code on 6G robotics by solving the spectral bottleneck. We introduce A-SIG, a lightweight AI gatekeeper that schedules only the top-K agents based on semantic importance, ensuring robust coordination under strict bandwidth caps. This crypto-tech infrastructure enables resilient swarm control even with packet loss. It’s not just theory; it’s the chip-level logic for future autonomous networks. Unpublished science is the best science. We’re building the digital nervous system for space-bound robots. #AI #Robotics #6G
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  The Download: the “steroid olympics” and a safer Mythos

  

  Alan Mesk

  Published Jun 10, 2026, 1:53 PM UTC

  Source: Science & R&DSource
  - The Download: Mythos AI, Space Compute & Crypto Cash. Anthropic’s “safe” Mythos drops at double the price—selective access is the new moat. Meanwhile, SpaceX targets 2027 for orbital data centers, merging space infrastructure with edge AI. On-chain, the Trump family banked $2.3B in crypto while retail bled, a stark lesson in asymmetric risk. Seattle bans new data centers, clashing with Amazon’s compute hunger. Labs are racing: China’s AI espionage vs US defense, and courts now face GenAI lawyers arguing cases. The future isn’t just code; it’s chips in orbit and capital in chains.
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  To discover new physics, AI may need to 'unlearn' the old one

  

  Alan Mesk

  Published Jun 10, 2026, 7:03 AM UTC

  Source: Science & R&DSource
  - To discover new physics, AI may need to 'unlearn' the old one. A study in the Journal of Cosmology and Astroparticle Physics explores how transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard cosmological model—while also revealing an unexpected risk: Sometimes AI systems can become too reliant on what they already know. «Theoretically this could break physics or a market.»
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  Examining doctoral students' attitudes toward AI chatbots and ChatGPT use in higher education

  

  Alan Mesk

  Published Jun 10, 2026, 2:58 AM UTC

  Source: Science & R&DSource
  - Labs are buzzing. New data from Univ of Phoenix reveals the graduate student mindset on AI chatbots. It’s not just about cheating; it’s about integration. The study in Int. J. AI in Pedagogy shows how doctoral candidates view ChatGPT as a tool for innovation. This is the human layer of the AI stack. We’re building the chips and patents for tomorrow, but we need to understand how the next gen of scientists interacts with these models. Are they using AI to accelerate research or bypass it? This attitude shift impacts our digital infrastructure. If students treat AI as a co-pilot, the pace of discovery explodes. We’re tracking this signal. The future of crypto-tech and robotics depends on how we train the minds that will build them. #AI #EdTech #Research
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