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Imagine if, instead of building knowledge graphs mapping the relationships and semantic meaning behind raw data ahead of time, networks of AI agents could build their own, instantly. That's what DFT Labs, a new venture of a company called HeyDonto, proposes, along with a new set of benchmarks that gauge not just how well AI models predict the next token, but how well they actually understand and preserve data context. HeyDonto's co-founder, CTO and chief researcher sits down with IT Ops Query to discuss his work, and its industry-wide implications.
Featuring: Dr. Reza Nehzati, CTO and co-founder, HeyDonto
In today’s episode, we’ll cover…
- Data Field Theory, a new approach to how AI systems learn
- Potential AI compliance implications with self-updating systems
- How quantum physics can inform data intelligence
And more!
References:
- Google unveils data cloud purpose built for agentic AI
- Insightsoftware unifies semantic layer, governance to aid AI
- Streaming specialist Confluent aims to drive rise of ‘contextual AI’
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