What do you think about the concept of community collections though? They allow people from any part of the world to add frames from movies of their local languages/regions and play amongst each other. This is inspired from Geoguessr.
Interesting to note that the reduced latency is not just due to the improved model speed, but also because of improvements made to the harness itself:
> "As we trained Codex-Spark, it became apparent that model speed was just part of the equation for real-time collaboration—we also needed to reduce latency across the full request-response pipeline. We implemented end-to-end latency improvements in our harness that will benefit all models [...] Through the introduction of a persistent WebSocket connection and targeted optimizations inside of Responses API, we reduced overhead per client/server roundtrip by 80%, per-token overhead by 30%, and time-to-first-token by 50%. The WebSocket path is enabled for Codex-Spark by default and will become the default for all models soon."
I wonder if all other harnesses (Claude Code, OpenCode, Cursor etc.,) can make similar improvements to reduce latency. I've been vibe coding (or doing agentic engineering) with Claude Code a lot for the last few days and I've had some tasks take as long as 30 minutes.
> Anthropic is focused on businesses, developers, and helping our users flourish. Our business model is straightforward: we generate revenue through enterprise contracts and paid subscriptions, and we reinvest that revenue into improving Claude for our users. This is a choice with tradeoffs, and we respect that other AI companies might reasonably reach different conclusions.
Very diplomatic of them to say "we respect that other AI companies might reasonably reach different conclusions" while also taking a dig at OpenAI on their youtube channel
What do you think about the concept of community collections though? They allow people from any part of the world to add frames from movies of their local languages/regions and play amongst each other. This is inspired from Geoguessr.