That's only true in classical electrodynamics, as it happens. If you're in a very strong B-field like you might find near a compact object you'll get nonlinear QED effects.
The logic we typically use for repeaters (EDFA, erbium-doped fiber amplifiers) for long-distance lines amplifies but does not clean noise (so across the oceans, you are very much bound by SNR). And you need one of them every 80 km or so in typical fiber.
All the talk about "open" standards from AI companies feels like VC-backed public LLM experiments. Even if these standards fade, they help researchers create and validate new tools. I see this especially with local models. The rise of CLI-based LLM coding tools lets me use models like GPT OSS 20B to build apps locally and offline.
Claude Code has subagents as well. I created a workflow with multiple agents to build iOS apps, including agents for orchestration, design, build, and QA.
Claude Code subagents keep their context windows separate from the main agent, sending back only the most relevant context based on the main agent's request.
The UI looks so close to Open WebUI I was shocked this isn't a fork. It even looks like it takes OWUI's unique model customization features, but makes it agents.
Might have to try this out. OWUI's lagging docs has made managing my own self hosted instance a pain.
PS: Your _See All Connectors_ button on the homepage is 404ing.
Haha, yea the UIs certainly have similarities (much of the industry converges to standard places to put different components, since users are familiar).
"Agents" is a particular area where we feel like we're better than the alternatives (especially if you want something that effectively calls multiple tools in sequence). Curious to hear your thoughts after trying it out!
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