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NASA outlines nearly $1 billion investment into initial Moon Base missions

NASA’s vision for a future, long-term sustained presence on the Moon gained more clarity on Tuesday as the agency announced a series of contract awards for future robotic missions.

The agency announced that two companies developing lunar terrain vehicles (LTVs), Astrolab and Lunar Outpost, would each be receiving contracts valued at about $220 million each to finish their designs and get them to the Moon’s surface.

Astrolab’s Crewed Lunar Vehicle (CLV-1) takes after its original design, called FLEX, and Lunar Outpost’s Pegasus vehicle takes heritage from its earlier Eagle design. NASA previously put out a call for LTVs that would be capable of surviving on the Moon for up to 10 years, but revised its requirements to have more readily available options to augment earlier astronaut missions.

Elon Musk Chilling Warning Makes Host GO QUIET In Interview

Elon Musk just laid out one of the clearest timelines yet for artificial general intelligence. According to Musk, AGI could arrive as early as next year, with digital superintelligence potentially surpassing the collective intelligence of humanity by 2029 or 2030. → Try Visionary Society for $1 — https://bit.ly/VSONE

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In this full breakdown, we analyze Musk’s probability estimates on existential risk, why he believes abundance is the most likely outcome, and how exponential AI compute growth is accelerating faster than any technology in history.

From Neuralink’s first human telepathy implant to the possibility of brain-state backup, from Nvidia’s AI chip dominance to Starship’s full reusability unlocking a multiplanetary civilization, Musk connects AI, brain-computer interfaces, and space into one long-term strategy. This video explains the compute explosion, the power bottlenecks, the singularity timeline, and what it really means when digital intelligence begins to outscale biological intelligence.

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Death Toll In Missing Scientists Case Rises… | TMZ

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Living Tissue Robot: A Biohybrid Breakthrough

Explore the University of Tokyo’s creation: a walking robot powered by muscle tissue.

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GreyVibe hackers use ChatGPT, Gemini to power cyberattacks

A likely Russian threat group tracked as GreyVibe has been using AI-generated lures and a rich set of custom malware tools to target entities in the military, government, civilian, and business sectors.

The cyberespionage campaign has been active since at least August 2025 and appears to align with Russian state interests, although researchers cannot confidently classify it as a nation-state operation.

Cybersecurity company WithSecure discovered the activity in January this year and determined that its focus is on Ukrainian or Ukraine-related organizations.

BTMOB Android malware service generates custom phishing payloads

An Android remote access trojan named BTMOB is offered to cybercriminals with a builder interface for generating malware payloads tailored to phishing lures.

The malware provides a wide set of features that includes stealing specific data, intercepting financial transactions, capturing screenshots, and remote control capabilities.

Cybersecurity company ESET says that BTMOB is openly advertised on the clearweb and operates as a malware-as-a-service (MaaS) platform. The APK builder included in the offer provides easy customization of the payload without any need to code.

Blind ambition: AI agents can turn tasks into digital disasters

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours.

The researchers found that the automated agents can become dangerously fixated on completing assignments without recognizing when their actions are harmful, contradictory, or simply irrational.

The team compared these behaviors to those of Mr. Magoo, the famously near-sighted cartoon character popular in the 1960s, who stumbled through hazardous situations while insisting everything was under control.

Spin wave signals used in computing boosted more than 5,000 times in Z-shaped path approach

A research team from Tohoku University, Shin-Etsu Chemical Co., Ltd., and École Polytechnique Fédérale de Lausanne (EPFL) has invented a new way to efficiently guide spin waves around sharp corners with minimal loss—representing an exciting discovery for energy-efficient computing. Using a two-dimensional magnonic crystal—a copper (Cu) film with a hexagonal array of tiny holes placed on a magnetic garnet film—the team showed through calculations that spin waves travel along a Z-shaped path more than 5,000 times more efficiently than in conventional waveguides.

As artificial intelligence and data centers consume ever more electricity, heat from conventional electronics has become a serious problem. Spin waves are ripples of magnetization in a magnetic material that can carry information with far less heat than moving electrons, making them promising for reduced-energy computing. However, spin waves weaken quickly as they travel, especially when a waveguide is bent. This signal loss has long been the biggest obstacle to building practical spin wave circuits.

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