JustujuAI, layer by layer.Open in the interactive map

Voice & multimodal interfaces

Talking to AI out loud and showing it images or video, through phones, cars, speakers and glasses.

Layer 9 · Applications & Interfaces · Run time · Draft, awaiting expert review, reviewed 2026-10-02

Read first: Tokens & tokenization.

D1 · StoryFor young children and total beginners

Predict: why does a slow reply feel worse when speaking than typing?

You can talk to some AIs out loud, and they talk back.

You can also show them a photo, or point a camera at something, and ask what it is.

Like: A phone call that can switch to video when you need to show something.

D2 · PictureFor curious beginners

The older design is a pipeline: speech-to-text turns your voice into words, a text model replies, and text-to-speech reads the reply aloud. Each step adds delay, and tone of voice is lost.

Newer speech-to-speech models take audio in and produce audio out directly, so they can reply faster, cope with interruptions and keep emphasis and emotion.

Images and video work in a similar way: a vision-capable model turns pictures into tokens alongside the text. Voice and cameras make AI usable hands-free, in cars, on glasses and for people who find typing hard.

Like: A phone call that can switch to video.
Where it breaks: A friend on video watches continuously and remembers what they saw. Many assistants look at a single photo or a few frames, and can confidently describe things that are not there.

D5 · FrontierFor experts

Open problems: natural turn-taking and interruptions, the privacy of always-listening microphones and cameras, voice cloning used for fraud, and accents and languages that speech recognisers handle less well.

Sources

  1. Robust Speech Recognition via Large-Scale Weak Supervision (Whisper) (2022)
  2. Moshi: a speech-text foundation model for real-time dialogue (2024)
  3. GPT-4o System Card (2024)