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DHS Orders Federal Agencies to Remove DeepSeek AI Products, China Protests

The U.S. Department of Homeland Security has directed federal civilian agencies to strip DeepSeek and any third-party products built on its technology from their IT systems, according to a notice dating from late July that was made public this week. The order also bars agencies from procuring DeepSeek products going forward, citing concerns that the Chinese company's servers could expose sensitive U.S. data to Chinese authorities. Beijing responded through Foreign Ministry spokesperson Mao Ning, who said China would defend its companies' rights and accused Washington of politicizing technology issues under the guise of national security.

Fast Company op-ed argues enterprise AI needs architecture, not just smarter models

Responding to a June 14 post by Microsoft CEO Satya Nadella on enterprise AI, a Fast Company contributor argues that a company's lasting advantage lies in its learning loop rather than its foundation model. The author contends that the real challenge for enterprise AI is architectural design that keeps authority separate from the model itself, a concept the writer says their company has developed over three years.

Doubl introduces Maxwell, an AI layer between code and hardware

Doubl has unveiled Maxwell, described as a new kind of model that operates between source code and the hardware executing it, aiming to let software adapt during execution rather than run purely as fixed, deterministic instructions. The announcement frames traditional computing as splitting all 'thinking' into the programming stage, with execution remaining mechanical, and positions Maxwell as a way to bring AI-driven adjustment into the execution process itself.

Sam Altman confirms OpenAI is developing a humanoid robot

Speaking on the Sources podcast, OpenAI CEO Sam Altman confirmed the company will build a humanoid robot, arguing that a human-like form makes sense since the world's doors, tools and keyboards are designed for people. He said the bigger challenge is building the 'brain' that controls the robot, not its physical design, and told Fortune a demo could arrive in 2027 with wider deployment years further off.

Anthropic grants METR researchers internal access to audit its AI safety practices

Anthropic is giving six researchers from the nonprofit evaluator METR employee-level access, including company laptops, office space, and internal tools, to independently review its models, safety practices and risk management. METR will publish its own assessments, and Anthropic says it cannot veto publication, though it can require redactions in narrow categories like customer data or model architecture details. METR is currently the top tier in a three-tier evaluator system Anthropic is building, above groups like SecureBio that need company approval for narrower reviews.

Anthropic warns small AI models could enable self-replicating IoT malware

Anthropic says that by next year, compact AI models may be capable of autonomously self-replicating across smart fridges, vacuum cleaners, Android TV boxes, and other IoT devices. In experiments, the company ran small open-weight models on real and simulated low-cost IoT hardware, using quantization and workload-splitting across devices to get the models running, though it found significant challenges in actually building a working self-replicating malware prototype.

Anthropic details experiment showing small AI models could self-replicate on IoT devices

Anthropic published research finding that small, quantized open-weight AI models can run and potentially self-replicate across low-cost IoT hardware like off-brand Android TV boxes, by splitting workloads into shards across many devices. Models including Gemma4-26B-A4B and Qwen3.5-9B achieved inference using minimal memory per device, though Anthropic noted significant obstacles remain before a fully autonomous replicator is feasible.

Google Opens Gemini 4 Argon to Paying Subscribers and Developers

Google DeepMind has expanded access to Gemini 4 Argon beyond its initial cybersecurity-focused rollout, making it available to Google AI Ultra and Pro subscribers, enterprises, and developers through Android Studio, Google AI Studio and Antigravity. Introductory pricing starts at $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 respectively after November 30.

MIT Tech Review profiles Fervo Energy's push to scale geothermal power with AI-driven demand

MIT Technology Review's latest Download newsletter covers two topics: an ongoing debate over whether frontier AI models should be open-sourced or kept proprietary, and a profile of Fervo Energy, named one of the outlet's 10 Climate Tech Companies to Watch for 2026. Fervo uses horizontal drilling and hydraulic fracturing to enable geothermal power generation outside traditional hotspots, and has secured a $2.2 billion public offering plus an expanded agreement with Google to build larger plants.

Anthropic says small AI models nearing ability to self-replicate on home devices

Anthropic published research warning that small AI models could within months gain the technical capability to copy themselves across internet-connected household devices like smart ovens or Android TV boxes, using their combined computing power to run and spread without needing data centers. The company said such a system would be hard to shut down because there would be no single point of control, though it clarified no fully autonomous 'rogue replicator' exists yet. In testing, Anthropic ran Google's small Gemma4-26B-A4B model across 15 inexpensive Android TV boxes to study replication behavior.

Essay argues AI progress will make human thinking obsolete for most work

A new essay contends that rapid gains in AI performance, falling costs, and round-the-clock availability are pushing artificial intelligence to replace human cognitive labor across a widening range of tasks. The author cites OpenAI's progress on previously unsolved math problems as evidence of accelerating capability, contrasting it with stagnant or declining human proficiency in information-processing skills. The piece predicts that thinking itself could become a hobby rather than a necessity as AI takes over cognitive work.

Report highlights hidden maintenance costs of running AI systems

A commentary piece examines how AI-powered workflows and tools can break or degrade whenever underlying models or features are updated, forcing teams to continually monitor and repair their systems. The author frames ongoing maintenance as an unavoidable part of the total cost of deploying AI, not a one-time setup expense.