Nathaniel Whittemore
speaker
52,364 appearances
204 recordings
3 series
first heard Oct 2025
last heard yesterday
Nathaniel Whittemore’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 204 in all, peaking in Jun 2026 with 31.
Appearances
Dario argued that he was just trying to put forward a set of standards that the industry could organize around.
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While Altman said that he was very confident in our company's ability and our industry's ability to do this safely.
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Jensen Wong, meanwhile, reiterated the Zuckerbergian view, saying, run as fast as you can, but if you feel at any given point in time the company's out of control or the product's not going to be safe, take a pause and make sure you get it right.
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And as for Salesforce CEO Mark Benioff, he believes that every company has a responsibility to uphold ethical standards.
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Still, to give the safety debate a bit of a rest, Salesforce also had two big practical AI announcements.
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First, they're releasing their first in-house model in quite some time.
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Called COA, the model is a fine-tune of Nvidia's Nimotron and is designed to handle sales management within the CRM.
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The announcement reinforces the role that open source has to play in the enterprise by enabling
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This sort of narrow vertical model.
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Secondly, Salesforce unveiled a new initiative called AIFOS.
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This will be the umbrella term for Salesforce's connectors that will allow third-party agents to access Salesforce data.
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The release reinforces Salesforce commitment to moving towards headless software in a platform agnostic way, allowing any agent to become the interface.
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Now obviously these are big conversations that are important and are going to continue, but for now that is where we will close the headlines.
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Next up, the main episode.
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A new study from KPMG in the University of Texas at Austin found that when people work with AI, similar skills don't guarantee similar outcomes.
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Researchers studied more than 500 early career professionals and found that the best performers consistently amplify the value of AI by guiding, evaluating, and refining its outputs.
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These top performers, called AI amplifiers, weren't defined by what they knew alone, but by how they worked with AI.
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Learn more about what separates AI amplifiers from everyone else at kpmg.com/slash US slash AI amplifiers.
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Here's why most legacy modernization projects fail.
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The AI doing the work can't understand code bases at scale.
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Showing 2981–3000 of 52,364 · page 150 of 2619
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