A profile of, and interview with, OpenAI Chief Scientist Ilya Sutskever, who made a “superalignment” team to safely build and control superintelligent AI models
“It's going to be monumental, earth-shattering. There will be a before and an after.” — Ilya Sutskever, head bowed, is deep in thought.
MIT Technology ReviewWill Douglas Heaven
Context & Ripple Effects
OpenAI had already formalized Superalignment as a dedicated effort to steer more capable systems, with compute set aside for the new safety team. This profile gives that organizational move a clear internal champion in chief scientist Ilya Sutskever, making safety research part of the lab's frontier-model agenda rather than a peripheral trust-and-safety function.
The later arc underscores the difficulty of sustaining that agenda: co-lead Jan Leike's departure from the Superalignment team and Sutskever's subsequent Safe Superintelligence plans show how quickly safety leadership and institutional strategy can diverge.
First-order effects
OpenAI gains a named, specialized team focused on methods to steer and control systems beyond current model capabilities, concentrating responsibility for a long-horizon technical problem.
Sutskever's public association with the effort makes superalignment a visible part of OpenAI's research identity and its case for pursuing more capable models.
Second-order effects
Other frontier labs face greater pressure to demonstrate that capability research is paired with credible control research, not only product-level safeguards.
Allocating compute and senior research attention to alignment creates a direct trade-off with other model-development priorities, making safety resourcing an operational decision rather than a statement of principle.
Third-order effects
If this pattern holds, frontier AI development will increasingly treat alignment as a dedicated technical discipline with its own teams, compute budgets, and leadership—not merely a review layer applied after models are built.
The later leadership ruptures suggest that the durability of such programs may depend on governance and institutional incentives as much as on the technical research itself.
The trend: Frontier AI labs are institutionalizing safety research alongside capability work, while testing whether those commitments can survive competitive and organizational pressure.
Ilya Sutskever says OpenAI will allocate a fifth of its computing resources to the problem of aligning superintelligence, and solve it in four years. Let's hope that the only man deeply involved in both of AI's Big Bangs can pull this off too. https://www.technologyreview.com/ ..…
Good interview w/ Ilya Sutskever, OpenAI's cofounder/chief scientist, on the future of AI. “One possibility, which may be crazy by today's stds but won't be so crazy in the future, is that many ppl will choose to become part AI” to try to keep up... (TR) https://www.technologyrev…
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We are building a new Preparedness team to evaluate, forecast, and protect against the risks of highly-capable AI—from today's models to AGI. Goal: a quantitative, evidence-based methodology, beyond what is accepted as possible: https://openai.com/...