AI is moving into a more unpredictable phase.

This week, Anthropic warned that smaller AI models may soon be capable of spreading across ordinary connected devices, Character.AI filed for bankruptcy, Alibaba’s Qwen was approved to support Apple Intelligence in China, and OpenAI faced eight state lawsuits over child safety and ChatGPT risks.

In this episode of AI Current EP23 by Mahesh Devalla, we look at how AI is expanding across devices, platforms, consumer hardware, legal systems, and robotics.

The bigger question now is how much control companies can keep as AI becomes more autonomous and more distributed.

Highlights from this episode

  • Anthropic warns about the possibility of self-replicating AI spreading across connected devices

  • Character.AI files for bankruptcy after once becoming one of consumer AI’s biggest breakout companies

  • Alibaba’s Qwen gets approved to support Apple Intelligence on Chinese iPhones

  • OpenAI faces eight state lawsuits over child safety and ChatGPT risks

  • Major websites start blocking autonomous AI agents from accessing their services

  • Microsoft runs a 70B model locally on Surface hardware

  • Amazon launches Bee AI devices as personal assistants move beyond phones

  • Zoho freezes pay raises as AI infrastructure costs put pressure on software economics

  • Elon Musk says humanoid robot hands remain one of Optimus’s hardest engineering challenges

  • The AI race is now about autonomy, local AI, legal risk, platform access, hardware, and robotics

Quick takeaway

AI is becoming less centralized.

Powerful models are moving onto personal devices, assistants are gaining more autonomy, websites are starting to push back against agents, and legal pressure is rising around safety and accountability.

At the same time, companies are discovering that AI infrastructure is expensive, robotics is still difficult, and control becomes harder as intelligence spreads across more devices and systems.

Watch the full video

Watch the full episode here: AI Current EP23 by Mahesh Devalla

For more AI news, business insights, and leadership analysis, follow Mahesh Devalla.

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