Alberto Cardaci

Head of Behavioral Intelligence @InterhumanAI. Formerly @toptal, @goetheuni, @unicatt and @sciencespo.

[Interhuman AI @InterhumanAI]

Today, we’re introducing Inter-2, our next step in Socially Intelligent AI.

Inter-2 helps AI products understand how people communicate, beyond the words we use. It allows you to notice more by detecting social signals such as hesitation, agreement, confusion and skepticism in real time.

For products built around human interaction, the model adds a layer of information that transcripts alone can’t capture allowing for a sales intelligence platform to detect how a customer is responding as a conversation unfolds; a user research platform to identify moments of hesitation or engagement; a coaching tool to understand not only the words being used, but how they are being delivered.

Inter-2 is another step toward AI systems that can perceive and respond to the social dynamics of human interaction, helping products get more insight from every conversation and do more with it.

Inter-2 is available today at https://t.co/qjle4TfPBL

[Luis Garicano 🇪🇺🇺🇦 @lugaricano]

An announcement: Under the leadership of Mario Draghi and @patrickc we have set up the Rhine Group: policymakers, economists, entrepreneurs and business people pushing European reforms and the Draghi agenda.
https://t.co/ZtoW7Rb173

[Alberto Cardaci @alcardaci]

@ChatGPTapp Regular chat should be in a separate tab, like Work and Codex. Also, seems like I lost all the project folders I had in ChatGPT. And... where's voice mode in the app for Mac?

[Alberto Cardaci @alcardaci]

@lastknight Totalmente d’accordo. Cultura del rischio =/= mancanza di competenze e fuffa.

[Alberto Cardaci @alcardaci]

This is another step on our roadmap. Even more exciting stuff is coming soon!

You can try Inter-1 and our streaming API via https://t.co/u2E3TpxS14.

Read the docs, join the Discord, and reach out if you have an interesting use case.

[Alberto Cardaci @alcardaci]

Inter-1 goes streaming!

One month after launching Inter-1 -- our omni-modal model built to understand human social signals -- you can now use it with live video via our streaming API.

[Interhuman AI @InterhumanAI]

When we launched Inter-1 a month ago, we said streaming inference was next.
Today it's live!
The Streaming API brings the full set of Inter-1 capabilities to live video, delivering events as the conversation unfolds.
Read the full write up: https://t.co/TLSXo3Aq3s

[Alberto Cardaci @alcardaci]

This is exciting because, instead of getting behavioral detection and explanations only in retrospect after the conversation ends, you can now get them as it unfolds, so you can steer behavior in the moment, if needed.

[Alberto Cardaci @alcardaci]

Want to win a shiny Mac mini? Explore our API, build something cool with it, post it here and tag @InterhumanAI

I’d love to see what you build!

[Interhuman AI @InterhumanAI]

We’re excited to see what people build with the Interhuman API.

Mac Mini up for grabs — winner announced June 1.
👉 https://t.co/Z7cqqqgZxZ

[Dev Hunt @devhunt_]

⇨ @InterhumanAI is a social intelligence API that enables AI products to understand human behavior by analyzing signals like hesitation, engagement, and confusion across voice, facial expressions, body language, and text.

[Alberto Cardaci @alcardaci]

This release is just the start. More exciting stuff is coming soon!

Inter-1 is available now via https://t.co/u2E3TpxS14. Read the docs, join the Discord, and reach out if you have an interesting use case.

[Alberto Cardaci @alcardaci]

Aaand we’re live! After months of work at @InterhumanAI , today we’re releasing Inter-1, an omni-modal model built to understand human social signals.

Most AI models, including large frontier models, are language-first and built around a small set of basic emotion categories.

[Interhuman AI @InterhumanAI]

Inter-1 is live.

An multimodal model built for understanding how people actually communicate.

[Alberto Cardaci @alcardaci]

For each detected signal, it also outputs a predicted probability and a structured rationale grounded in our behavioral science ontology.

We evaluated Inter-1 against various models, from small open-weight to large frontier systems. It delivered the best accuracy and speed.

[Interhuman AI @InterhumanAI]

Most AI understands what people say. But not how they say it, the hesitation, the shift in tone, what the body is doing while the mouth is speaking.
That's the problem we've been working on and we're almost ready to show what we've built.
https://t.co/kd2XC4e3AC

[Alberto Cardaci @alcardaci]

In any case, given the unprecedented concentration of profit in arenas, failing to participate in them may be a bigger risk than the challenges of entering them.

8/8

[Alberto Cardaci @alcardaci]

There are 2 findings that have caught my attention here:

1 - These arenas increased their share of economic profit from 9% in 2005 to a mind-blowing 49% by 2019. This is extreme and unprecedented profit concentration in a small number of industries.

1/8

[McKinsey & Company @McKinsey]

🧠 AI software and services🔒 Cybersecurity💨 Future air mobility🤖 Robotics🚘 Electric vehicles

Explore 18 potential arenas that could reshape the global economy: https://t.co/5RY4hSwe2h

[Alberto Cardaci @alcardaci]

Finally, I think this dynamic creates a distinctive risk profile where early entry risks are lower than in traditional industries but mid-game scaling risks are higher.

7/8