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A notable AI researcher and engineer shares their third appearance on the freeCodeCamp podcast, discussing their work at AI Engineer and outlining the top three AI research directions they believe are most worth investing in for 2026: world models, memory and continual learning, and multimodality/generative media. They also mention subagents/multiagents and AI for science as additional candidates.

honored to be the first 3x guest on the @freecodecamp podcast: 

https://t.co/kSosQKdo2Q

i chatted with @ossia about @aiDotEngineer and the top 3 directions I am focusing on for AI progress in 2026:

- world models
- memory/continual learning
- multimodality/generative media

there are other candidates (subagents/multiagents, and ai for science) but these are the most obvious places to invest afaict

<p>honored to be the first 3x guest on the @freecodecamp podcast: 

https://t.co/kSosQKdo2Q

i chatted with @ossia about @aiDotEngineer and the top 3 directions I am focusing on for AI progress in 2026:

- world models
- memory/continual learning
- multimodality/generative media

there are other candidates (subagents/multiagents, and ai for science) but these are the most obvious places to invest afaict</p>