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Radio waves enable energy-efficient AI on edge devices without heavy hardware

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is occurring autonomously on the edge—on the small devices that gather information at the ends of much larger networks.

But making that shift to edge computing is harder than it seems. Although artificial intelligence (AI) models continue to grow larger and smarter, the hardware inside these devices remains tiny.

Engineers typically have two options, neither are ideal. Storing an entire AI model on the device requires significant memory, data movement and computing power that drains batteries. Offloading the model to the cloud avoids those hardware constraints, but the back-and-forth introduces lag, burns energy and presents security risks.

N8n Supply Chain Attack Abuses Community Nodes to Steal OAuth Tokens

N8n has also warned about the security risk arising from the use of community nodes from npm, which it said can introduce breaking changes or execute malicious actions on the machine that the service runs on. On self-hosted n8n instances, it’s advised to disable community nodes by setting N8N_COMMUNITY_PACKAGES_ENABLED to false.

“Community nodes run with the same level of access as n8n itself. They can read environment variables, access the file system, make outbound network requests, and, most critically, receive decrypted API keys and OAuth tokens during workflow execution,” researchers Kiran Raj and Henrik Plate said. “There is no sandboxing or isolation between node code and the n8n runtime.”

“Because of this, a single malicious npm package is enough to gain deep visibility into workflows, steal credentials, and communicate externally without raising immediate suspicion. For attackers, the npm supply chain offers a quiet and highly effective entry point into n8n environments.”

LANL: Los Alamos To Play Key Role In Renewed Quantum Science Center

PRESS RELEASE — The Department of Energy has renewed funding for the Quantum Science Center, with Los Alamos National Laboratory continuing to play a vital role along with Oak Ridge National Laboratory in the center’s mission to advance quantum science and technology. The center will be funded for $125 million over five years to focus on quantum-accelerated high-performance computing.

“The Quantum Science Center is establishing the scientific and technical foundation for quantum computing,” said Mark Chadwick, associate Laboratory director for Simulation, Computing and Theory. “In this new, critical evolution for the center, the integration of quantum and high-performance computing stands to accelerate advancements in crucial scientific areas related to technological progress and even national security applications.”

The Quantum Science Center combines the efforts of three national laboratories, with ORNL hosting the center and Los Alamos a principal partner alongside various universities, industry partners and other laboratories. Created as one of five National Quantum Information Science Research Centers supported by the DOE’s Office of Science, the Quantum Science Center seeks to create a scientific ecosystem for the advancement of fault-tolerant, quantum-accelerated high-performance computing.

Trump’s Reprieve for Nvidia’s H200 Spurred by Huawei’s AI Gains

President Donald Trump decided to let Nvidia Corp. sell its H200 artificial intelligence chips to China after concluding the move carried a lower security risk because the company’s Chinese archrival, Huawei Technologies Co., already offers AI systems with comparable performance, according to a person familiar with the deliberations.

Administration officials who weighed whether to clear Nvidia’s H200 had considered multiple possible scenarios, factoring in the views of national security hawks in Washington, said the person. Options ranged from exporting zero AI chips to China to allowing exports of everything to flood the Chinese market and overwhelm Huawei. Ultimately the policy backed by Trump called for clearing H200s to China while holding back the latest Nvidia chips for American customers, the person said.

The 2026 Timeline: AGI Arrival, Safety Concerns, Robotaxi Fleets & Hyperscaler Timelines | 221

The 2026 Timeline: AGI Arrival, Safety Concerns, Robotaxi Fleets & Hyperscaler Timelines ## The rapid advancement of AI and related technologies is expected to bring about a transformative turning point in human history by 2026, making traditional measures of economic growth, such as GDP, obsolete and requiring new metrics to track progress ## ## Questions to inspire discussion.

Measuring and Defining AGI

🤖 Q: How should we rigorously define and measure AGI capabilities? A: Use benchmarks to quantify specific capabilities rather than debating terminology, enabling clear communication about what AGI can actually do across multiple domains like marine biology, accounting, and art simultaneously.

🧠 Q: What makes AGI fundamentally different from human intelligence? A: AGI represents a complementary, orthogonal form of intelligence to human intelligence, not replicative, with potential to find cross-domain insights by combining expertise across fields humans typically can’t master simultaneously.

📊 Q: How can we measure AI self-awareness and moral status? A: Apply personhood benchmarks that quantify AI models’ self-awareness and requirements for moral treatment, with Opus 4.5 currently being state-of-the-art on these metrics for rigorous comparison across models.

AI Capabilities and Risks.

SpaceX IPO: Tesla Shareholder Warrants, SPARC, and Elon’s Liquidity Event

SpaceX’s potential Initial Public Offering (IPO) could not only reward long-term Tesla shareholders but also has significant implications for Elon Musk’s companies, with a possible valuation of $1.2–1.5 trillion, driven by ventures like Starlink and Starship # ## Questions to inspire discussion.

IPO Timing and Valuation Strategy.

🚀 Q: When could SpaceX realistically go public and at what valuation? A: SpaceX IPO timing targets mid-2026 with potential valuation of $1.2–1.5 trillion, dependent on Starship production readiness, successful orbital launches with Starlink payloads by mid-2024, and prevailing volatile public market conditions at listing time.

💰 Q: How much capital would SpaceX raise in the IPO? A: SpaceX would likely issue new shares to raise approximately $80 billion at the $1.2–1.5 trillion valuation target, rather than conducting a buyback of existing shares, with potential share prices ranging $50–150 per share.

📈 Q: What drives SpaceX’s trillion-dollar valuation thesis? A: Valuation hinges on Starlink satellite network (10M subscribers, 10K satellites), rapid and complete reusability of Starship launch vehicles, planned Moon and Mars bases by 2030–2040, and the Musk premium factor where investors pay extra for his involvement.

Starship as IPO Catalyst.

Direct 3D printing of nanolasers can boost optical computing and quantum security

In future high-tech industries, such as high-speed optical computing for massive AI, quantum cryptographic communication, and ultra-high-resolution augmented reality (AR) displays, nanolasers—which process information using light—are gaining significant attention as core components for next-generation semiconductors.

A research team has proposed a new manufacturing technology capable of high-density placement of nanolasers on semiconductor chips, which process information in spaces thinner than a human hair.

A joint research team led by Professor Ji Tae Kim from the Department of Mechanical Engineering and Professor Junsuk Rho from POSTECH, has developed an ultra-fine 3D printing technology capable of creating “vertical nanolasers,” a key component for ultra-high-density optical integrated circuits.

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