← Kimi K3

What podcasts say about Kimi K3

Every statement, with the speaker, the exact quote and the moment it was said.

What experts have said about Kimi K3

5 statements · 4 positive · 1 negative

  1. Open-weight frontier models can be used publicly to find security vulnerabilities.

    “anyone can download that and prompt it to try and find holes in security all over banks, all over norad, all over the place. So that's in the wild now.”

    Listen at 37:33

    Open the episode · Sergey Brin Retakes Gemini, 4 Labs Lose Containment, Compute Trades at NYSE w/ Kush Bavaria | EP #278
  2. Kimi K3 is an AI capable of self-improvement that anyone can run locally.

    “You have an AI capable of self improvement now out in the wild that anyone is on your machine.”

    Listen at 35:49

    Open the episode · Dario vs Jensen on Open Weights, OpenAI & Anthropic in DC, Xi Exports AI to Global South | EP #275
  3. Kimi K3’s recognizable transformer architecture nearly matches GPT-5.5 Max on the cost frontier.

    “a recognizable transformer like architecture can almost match GPT 5.5 max on the task cost Frontier”

    Listen at 7:21

    Open the episode · Urgent Update- AI Sputnik Moment: Kimi K3 Released w/ Emad Mostaque | Ep. 272
  4. Kimi K3 can process and understand multimodal inputs.

    “K3 is actually a multimodal model, so it can have all sorts of inputs and it can understand things”

    Listen at 8:57

    Open the episode · Urgent Update- AI Sputnik Moment: Kimi K3 Released w/ Emad Mostaque | Ep. 272
  5. Kimi’s model ecosystem exhibits recursive self-improvement and dynamic skill adaptation.

    “That feels like recursive self improvement. That feels like the ability to learn and adapt new skills dynamically by changing itself.”

    Listen at 11:34

    Open the episode · Urgent Update- AI Sputnik Moment: Kimi K3 Released w/ Emad Mostaque | Ep. 272

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Kimi K3: what podcasts say · PodLume