Is AI truly slowing down, or are we witnessing its next evolution?
For business leaders, the debate around scaling laws, reasoning models, and AGI isn't just academic—it's a matter of future-proofing your business strategy. Are the days of GPU-heavy training behind us, or are we on the cusp of a revolution in AI thinking?
In this week's News episode of Leveraging AI, Isar Meitis breaks down the buzz surrounding "thinking models," test-time compute, and the escalating rivalry among AI powerhouses like OpenAI, Google, and Alibaba. From the rise of reasoning models to the implications for enterprise AI adoption, you'll gain actionable insights to position your organization ahead of the curve.
In this session, you’ll discover:
Let’s keep exploring, implementing, and leading in AI together. See you next week!
About Leveraging AI
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
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By Isar Meitis
4.9
5454 ratings
Is AI truly slowing down, or are we witnessing its next evolution?
For business leaders, the debate around scaling laws, reasoning models, and AGI isn't just academic—it's a matter of future-proofing your business strategy. Are the days of GPU-heavy training behind us, or are we on the cusp of a revolution in AI thinking?
In this week's News episode of Leveraging AI, Isar Meitis breaks down the buzz surrounding "thinking models," test-time compute, and the escalating rivalry among AI powerhouses like OpenAI, Google, and Alibaba. From the rise of reasoning models to the implications for enterprise AI adoption, you'll gain actionable insights to position your organization ahead of the curve.
In this session, you’ll discover:
Let’s keep exploring, implementing, and leading in AI together. See you next week!
About Leveraging AI
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
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