Ted Moskovitz Shares Insights on Scaling AI at RAAIS 2026

@nathanbenaich· July 9, 2026 View original

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.

At the RAAIS 2026 conference, Ted Moskovitz shared several profound observations regarding the evolution and future of artificial intelligence. He emphasized the critical question of what truly alters the counterfactual when scaling AI systems, suggesting a deeper consideration of impact beyond mere computational growth. Moskovitz also expressed a stronger conviction in the potential of Artificial General Intelligence (AGI) and highlighted the significant progress in the trustworthiness of frontier AI models. He further underscored the often-underrated value of having highly intelligent models available for complex questioning, advocating for their utility as intellectual sparring partners. A key theme was the inseparable nature of AI alignment, safety, and capabilities, arguing that advancements in one area inherently support the others. These insights provide a forward-looking perspective on the challenges and opportunities in AI development.

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

  1. 1Integrate advanced AI models into workflows for complex problem-solving and strategic questioning.
  2. 2Prioritize research and development efforts that simultaneously address AI capabilities, alignment, and safety.
  3. 3Educate teams on the evolving trustworthiness and potential of frontier AI models.
  4. 4Foster a culture of critical evaluation regarding what constitutes true scaling in AI.
  5. 5Participate in industry discussions and conferences to stay abreast of expert opinions on AI's future.

Who benefits

AI ResearchTechnology DevelopmentStrategic ConsultingVenture CapitalEducation

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.

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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Ted Moskovitz Shares Insights on Scaling AI at RAAIS 2026

Originally posted by @nathanbenaich on X · view source

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