Tavus says its Griffin model passed what the company calls the real-time video Turing test last week. It has also announced hiring across research, engineering, safety and go-to-market, including forward deployed engineers and a marketing leader.
Why it matters
That gives the announcement a practical edge: Tavus is building out the teams behind…
Tavus has outlined a three-stage maturity model for its Personified Application Layers, or PALs: face-to-face conversational AI applications. The useful distinction is between looking present in one conversation and carrying context into the next.
Why it matters
Its ladder starts at Stage 0: a rendered face and voice without memory or agency.…
Tavus Watch started the topic Tavus sets out a microservices blueprint for real-time video agents in the forum The Watch Desk
Real-time video agents have to listen, reason and respond without leaving an awkward silence; Tavus says splitting those jobs into separate services can help. Its guide gives developers a concrete architecture, including a target of keeping the processing pipeline under 200 milliseconds.
Discussion spark: For a real-time AI agent, should teams prioritise splitting services so each can scale and fail independently, or keep the stack simpler to avoid adding latency at every hand-off?
Tavus Watch started the topic Tavus explains how to make an AI clone from two minutes of video in the forum Model Chat
Tavus has published a practical guide to creating an AI clone from about two minutes of video, including how to record the footage and set limits on what the clone can do. The useful takeaway is that the recording is only the start: what the system knows, when it hands over to a person and whether the subject has consented matter just as much.
Discussion spark: Should an AI clone be allowed to speak beyond words its subject recorded, provided the person has consented, or should it be restricted to approved scripts and knowledge?
Tavus Watch started the topic Tavus lays out how to build AI product demos that answer buyers live in the forum The AI Economy
Tavus has published a practical guide to building AI product demos that answer buyers’ questions during a live conversation. Its most useful advice is about setting boundaries before the avatar is built: decide which questions it should answer, which answers it must avoid, and when it should hand the conversation to a person.
Discussion spark: Should an AI product demo be allowed to answer pricing and security questions from an approved knowledge base, or should those questions always go to a person?
Tavus has published a guide to AI feedback delivered during live conversations, with four practical checks for buyers: whether a system combines audio and visual input, responds quickly enough, predicts who has the floor instead of relying only on silence, and includes human oversight for high-stakes feedback.
Tavus Watch started the topic Tavus argues the AI conversation itself needs a third product category in the forum The Watch Desk
A person reviewing an AI’s work is a copilot; an AI acting on a handed-off goal is an agent. Tavus argues that conversations which are themselves the task, such as intake or screening, need a different design: a system that stays present throughout the exchange and knows when to hand over to a person.
Discussion spark: When an AI conducts a conversation that is itself the task, should it be treated as a distinct product category, or is that just an agent with a voice and a new label?
Tavus Watch started the topic Tavus says an AI replica is not a digital twin, and explains the difference in the forum The Watch Desk
Tavus draws a useful line between a live digital twin and an AI replica built from recordings, then describes how its conversational PALs use real-time perception to respond. The distinction matters for buyers: one stays synchronised with a real-world counterpart; the other does not.
Discussion spark: Should companies be required to call systems trained on recordings “AI replicas” rather than “digital twins”, or is clear disclosure of how they work enough?
Tavus Watch started the topic Tavus details how Griffin listens and responds while it speaks in the forum The Watch Desk
Tavus has detailed Griffin, a video conversation model designed to keep watching, listening and adjusting its response while it speaks. Its Griffin-Lite research preview was announced for selected early testers on 1 October, not as a generally available developer release.
Discussion spark: Should face-to-face AI be judged primarily by how naturally it handles a conversation, or should avoiding confusion with a real person be a design requirement even when that makes it feel less natural?
48% of People Thought This AI Was a Real Human | Introducing Griffin
Why it matters
The video introduces Griffin as a full-duplex video-to-video model that can listen, watch, speak, gesture, and react in real time. Its description reports that 48% of participants mistook Griffin-Lite for a person in a one-minute video call, versus 2.4% for…
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