Tau by Turing Dream

[Tau by Turing Dream @TauTuringDream]

Ideas behind Tau start with questions like "what if Enterprise AI weren’t built around making the model smarter but the company?"
Enrique Dans, CIO at TuringDream, is shaping that vision across AI, technology, organizations and the systems that will run them.
Follow him at @edans

[Tau by Turing Dream @TauTuringDream]

The most important technologies eventually disappear into the systems they improve. Enterprise AI may follow the same path: less visible as a destination, more present as a continuous capability embedded in how work gets done, measured and improved.
#WorldModel #EnterpriseAI

[Tau by Turing Dream @TauTuringDream]

If every major computing substrate eventually acquired a language and runtime for its native abstractions, why should AI be different?
@edans explores this question and the evolution of language in technology. Read the full article:
https://t.co/hMAMqzPfcW
#EnterpriseAI

[Tau by Turing Dream @TauTuringDream]

The next shift may not look like another jump in chatbot intelligence. It may be a change in category: from systems judged by response quality to systems judged by what they achieve, what they learn and whether they improve over repeated episodes.

#WorldModel #EnterpriseAI

[Tau by Turing Dream @TauTuringDream]

We’re starting conversations with people interested in what we’re building at Tau.

If you want to learn more about the project, the technology or what comes next, we’d be glad to hear from you.

Get in touch:
https://t.co/G1zl5bWeLG

[Tau by Turing Dream @TauTuringDream]

@edans reflects on why companies need to be understandable: before an organization can be optimized, it must first be understood by the intelligence seeking to optimize it.

How understandable is your company today?
#EnterpriseAI

Read the full article: https://t.co/AdNdknnpjF

[Tau by Turing Dream @TauTuringDream]

This is the missing loop. A recommendation is only a hypothesis until reality answers, once the system can connect action to outcome, and use that outcome to change what it does next, right? We think AI need to stop being purely generative and start becoming adaptive.

[Tau by Turing Dream @TauTuringDream]

If you changed your AI model tomorrow, how much institutional learning would stay with you?
In one of his latest articles for TuringDream, @edans explores why companies should focus less on the latest model and more on preserving what they learn: https://t.co/ciMptbJiXW