Radio Hoosh: AI Deep Dives

Moonshot AI's Kimi K3.1 Pro and its faster Highspeed variant land near the top of independent benchmarks, while Block's speech-only Dessa and IBM's Granite Speech 5.0 push voice AI forward.

Show Notes

AI-generated: both hosts are AI voices (Google NotebookLM), and the conversation is based on the sources listed below.

In this episode we look at Kimi K3.1 Pro, the new model from Moonshot AI, and its faster Highspeed variant. Independent benchmarks place both near the top tier of AI models. We also cover the debate the release started about how close Chinese open models now are to the frontier. Then we turn to two voice models: Dessa from Block, a conversation model trained only on speech, and IBM Granite Speech 5.0 for transcription, translation and speaker attribution.

Why it matters: developers can now get strong coding and voice models that are cheaper or open-weight. That changes which model you would pick for AI agents, coding assistants and voice interfaces.

  • Kimi K3.1 Pro and its Highspeed variant from Moonshot AI score near the top tier in independent benchmarks
  • The release restarted the debate on how close Chinese open models are to frontier models
  • Block's Dessa is a conversation model trained only on speech
  • IBM Granite Speech 5.0 brings faster, more accurate transcription, translation and speaker attribution
  • What these releases mean when you choose models for agents, coding and voice apps

Sources:

What is Radio Hoosh: AI Deep Dives?

Radio Hoosh takes each day's biggest AI story (a new model, a research paper, a lab announcement or a developer tool) and unpacks it in a 20–45 minute conversation. Both hosts are AI-generated voices (Google NotebookLM), and episodes are produced automatically from public sources such as Hacker News and Hugging Face Daily Papers, then published by Kasra Qasempour. "Hoosh" is Persian for intelligence; a Persian edition is available as رادیو هوش.