AI & Robotics Evolution, Geopolitical Material Race, Sustainable Desalination

Here are today's top AI & Tech news picks, curated with professional analysis.

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Project Fetch: Phase two

Expert Analysis

Anthropic has released the results of "Project Fetch: Phase Two," demonstrating significant advancements in robot control tasks using their large language model (LLM), Claude Opus 4.7. The experiment revealed that Claude Opus 4.7 could complete specific tasks over 20 times faster than previous human teams or Claude-assisted teams. It excelled in tasks like connecting to robot sensors and programming, achieving comparable or superior success with approximately one-tenth the code volume generated by human teams.

However, Claude still struggled with more nuanced closed-loop control tasks, such as precisely moving a beach ball. These tasks require rapid perception of deviations and precise adjustments. This research suggests that LLMs are not only significantly enhancing non-expert human capabilities in using robots but are also entering the early era of "physical agentic AI," where models can operate off-the-shelf physical tools with relative ease for limited purposes.

👉 Read the full article on Anthropic

  • Key Takeaway: LLMs like Claude are rapidly advancing in general robot control, enabling faster task completion and hinting at the emergence of physical agentic AI, though fine motor control remains a challenge.
  • Author: Michael Ilie, C. Daniel Freeman, and Kevin K. Troy

China found a silent way to pressure US AI: controlling the materials that make its data centers possible

Expert Analysis

The technological rivalry between the United States and China extends beyond advanced chips and software to the control of "invisible" materials essential for AI data centers. Specifically, indium phosphide is gaining importance as a critical material for photonic connections between chips in next-generation data centers.

China controls a significant portion of global indium production and has tightened export controls since 2025. This represents a "silent" strategy to exert pressure on the US AI industry's supply chain, not by outright blocking supply, but by slowing down licenses and demanding additional information, creating uncertainty. This material bottleneck could delay the expansion of AI infrastructure, increase costs, and deepen US dependence on external suppliers.

👉 Read the full article on Gizmodo en Español

  • Key Takeaway: China's control over critical materials like indium phosphide, vital for photonic connections in advanced AI data centers, provides a strategic geopolitical leverage point against the US AI industry.
  • Author: Thomas Handley

They created a solar reactor that transforms seawater into drinking water without leaving polluting residues: a solution to the global crisis?

Expert Analysis

A research team from the University of Rochester has developed an innovative system that transforms seawater into potable water using only solar energy. This system aims to address the high energy consumption and polluting residues (highly concentrated brine) associated with traditional desalination technologies.

The device is based on special metal panels whose surfaces have been modified with ultrafast laser pulses. These panels efficiently absorb sunlight, forming a thin film of water when in contact with seawater, which then rapidly evaporates using only solar heat. Notably, it utilizes the "coffee ring effect" to prevent mineral buildup by guiding minerals through microscopic grooves to specific areas. This strategy not only avoids generating polluting brine but also offers the potential to recover valuable minerals like lithium.

👉 Read the full article on Gizmodo en Español

  • Key Takeaway: A novel solar reactor from the University of Rochester offers a sustainable desalination solution by converting seawater to potable water without toxic waste, and potentially recovering valuable minerals like lithium, addressing a critical global water crisis.
  • Author: Lucas Handley

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photo by:Christian Lue