No Priors: Artificial Intelligence | Technology | Startups Humans&: Bridging IQ and EQ in Machine Learning with Eric Zelikman
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Oct 9, 2025 Eric Zelikman, an AI researcher and founder of humans&, discusses his journey from academia to entrepreneurship. He challenges the industry’s obsession with IQ, advocating for a focus on emotional intelligence (EQ) in AI models. Eric emphasizes the importance of incorporating long-term memory and human-centered design to create collaborative systems. With insights on the current limitations of AI, he passionately argues for empowering users rather than merely automating tasks, envisioning a future where machines augment human creativity.
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Responsiveness Versus Problem Difficulty
- Failures in coding and other verifiable domains often stem from latency, responsiveness constraints, and distribution shifts.
- Background, longer-running processes can handle harder problems than interactive, low-latency setups.
Human-In-The-Loop Is A Design Decision
- There remain unexplored scaling axes for IQ, but choosing to keep humans in the loop is an active design choice.
- Incorporating people can change the trajectory of capability development and its societal effects.
Long-Horizon Autonomy Reduces Agency
- Autonomous long-horizon agents reduce human agency and understanding of produced outputs.
- Eric warns that models running hours autonomously create a weird regime where users lose control and comprehension.