Matt Fitzpatrick
5 tracked predictions · 0 hit · 0 partial · 0 miss · 5 still open
open Matt Fitzpatrick: Multi-agent teams -- task-specific agents orchestrated by an LLM rather than one decisioning agent -- will become a dominant enterprise AI deployment architecture.
“You'll train task-specific agents for individual tasks, usually orchestrated by an LLM.”
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open Matt Fitzpatrick: AI interaction will take a 'multimodal leap' with video, image, and especially audio becoming a much bigger part of how people engage with models, less text-based than historically.
“I don't think that will all be text-based like it has been historically.”
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open Matt Fitzpatrick: Adoption of 'mirror world'/RL gym simulated digital-twin environments for testing AI agents and tasks before real-world rollout will grow among both model builders and enterprises.
“I think that's more and more in both the model builders in the enterprise, what we're seeing is an interesting topic.”
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open Matt Fitzpatrick: An AI avatar trained on Matt Fitzpatrick's public statements will exist and be used, likely in a sports-related application.
“Yeah, it's probably happens in 2026. I don't think it would be that hard to train an avatar off of my public statements.”
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open Matt Fitzpatrick: The job profile around data-center-adjacent trades (electricians, etc.) will grow 2-4x.
“They were saying that job profile I think will two, three, four X over the next couple years.”
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