Ted Moskovitz Shares Insights on Scaling AI at RAAIS 2026

Key takeaways
- Scaling AI requires deep consideration of counterfactual changes, not just compute.
- Frontier AI models are becoming significantly more trustworthy.
- Intelligent models are valuable for complex questioning and problem-solving.
- AI alignment, safety, and capabilities are intrinsically linked.
Who benefits
Summary
Ted Moskovitz discussed key insights at RAAIS 2026, covering topics like AI scaling, the increasing trustworthiness of frontier models, the value of smart models for questioning, and the interconnectedness of alignment, safety, and capabilities.
Why it matters
These insights from a prominent figure offer a strategic perspective on the future of AI, guiding professionals in understanding the trajectory of model development, safety considerations, and practical applications.
How to implement this in your domain
- 1Integrate advanced AI models into workflows for complex problem-solving and strategic questioning.
- 2Prioritize research and development efforts that simultaneously address AI capabilities, alignment, and safety.
- 3Educate teams on the evolving trustworthiness and potential of frontier AI models.
- 4Foster a culture of critical evaluation regarding what constitutes true scaling in AI.
- 5Participate in industry discussions and conferences to stay abreast of expert opinions on AI's future.
Original post by @nathanbenaich
"turning compute into intelligence with @ted_moskovitz at @raais 2026, some gems (watch full video on youtube below) - on scaling: what changes the counterfactual? - i’m definitely more AGI-pilled than when I joined - knowing what an experiment tells you and what it doesn’t tell y…"
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Originally posted by @nathanbenaich on X · view source
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