skolos

Maybe civ 5 is more reactionary than strategic, so simple strategy that doesn't look too much into future works reasonably well. Or maybe civ is more mainstream and models absorbed more knowledge about strategies that work reasonably well.

My experience is that agents are decent in coding a feature, solving a bug - doing specific well defined task. They are very bad at judging UI/UX and user flows through app. Like really, really bad. They can quickly put together vibe coded app but make it usable takes a lot of extra manual work.

Did anyone solve this problem? Any good approaches?

By the way - Opus refuses to help you with setting this up - I used grok to drive this.

qwen3-asr-1.7b and parakeet both allow context/hotwords to bias transcription

responds within 1-2 seconds including 0.5 second waiting for silence as a trigger to start processing.

I confirm this as my experience as well. Parakeet did not perform well for me (English with heavy accent). Whisper large is much better. But once we get to model of this size look at qwen3-asr (1.7b parameters). I'm quite happy with how it performs (both transcription quality and speed on rtx5080). By the way the model is also available on openrouter and very/very cheap. Performance is reasonable (<1s response), but some requests are delayed (>10s)

Just ran some tests on my phrases:

- my whistle setup (tested can run on echo show with <1s response): 206 correct out of 208

These were not tested on echo show yet - on my pc for now:

- Vosk small, phrase grammar: 184/208

- Speech-to-Phrase 1.4.3 (Kaldi): 118/208

- suggested sphinx: 63/208 and on some examples took 13s on i7 14700k pc

looks like my customized whistle works better for me than these alternatives. But more testing wouldn't hurt.