Why Berman Prefers Cloud Agents to Keeping a Laptop Open

A short video contrasts locally running agents with remote environments that can continue after a laptop is closed.

MBMatthew BermanPonente · Forward Future
Canal
Matthew Berman
Publicado
7 may 2026
Vídeo
0:51
Lectura
1 min
Original
inglés
Abrir en YouTube
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RESUMEN

En 30 segundos

Matthew Berman argues that developers need not carry open laptops to keep local AI agents running. He suggests cloud agents as an alternative that can run in separate remote environments while the user's computer is closed. Availability, cost and execution limits depend on the service.

  1. 1The open-laptop workaroundBerman describes people keeping laptops open so local agents do not stop when the machine sleeps.
  2. 2Local settingsHe says laptop settings may be changed, without detailing a universal procedure for every device.
  3. 3Cloud agentsHe proposes remote environments for parallel tasks that can keep running when the client closes, subject to service limits.

Conclusiones

  1. A local agent can stop when its host laptop sleeps, depending on system settings and the application.
  2. Berman says cloud agents can continue working in remote environments after a laptop is closed.
  3. Parallel environments and uninterrupted execution depend on the service, configuration and limits.
  4. Berman's view that cloud agents are the future is a prediction.
TEXTO COMPLETO

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01

Keeping local agents running

Berman discusses carrying an open laptop and mentions changing system settings.

Matthew Berman notices people carrying open laptops to keep locally running agents from stopping when the computer sleeps. He says changing settings can address the immediate issue on Windows or Mac, although the clip does not give a complete procedure and behavior depends on the device and application.

Berman prefers using cloud agents. He describes creating separate remote environments for different agents, starting tasks, closing the laptop and returning later. Remote execution can avoid reliance on the laptop staying awake, though environment setup, cost, task timeouts and reliability depend on the service.

02

Running agents in the cloud

He recommends separate remote environments for parallel agents. He predicts cloud agents will become more important.

He concludes that cloud agents are the future. That is his prediction about the direction of AI workflows.

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