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Microsoft Discovery coordinates AI agents that help scientists narrow a huge research space down to the most promising candidates. Ali Zaman, Product Manager at Microsoft, explains. From our full conversation on building a better battery. Watch that episode here: https://youtu.be/w-csec1OUgM
Microsoft Discovery coordinates specialized AI agents that analyze research evidence, propose candidate materials, run scientific tools, and validate the results, while the scientist sets the goals and makes the key calls.
AI agent costs grow faster than the work itself, and caching is how you bring them back down. Gareth Bland, Chief Data Scientist at Microsoft, explains. From our full conversation on TokenOps (https://youtu.be/B4yovi_znxE). #AIAgents #TokenOps
AI agent costs don't grow in step with the work. As an agent takes more turns, context piles up and uncached input costs rise on a quadratic curve: in Gareth Bland's example, an agent that takes four times as many turns costs sixteen times as much.
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