Join Katherine Forrest and Anna Gressel as they explore the concept of on-device AI. They delve into the benefits and challenges of on-device AI, as well as related topics like on-premise AI and model optimization techniques like quantization and pruning.

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This week, Katherine Forrest and Anna Gressel review recent research on newly discovered model capabilities around the concepts of AI alignment and deception.

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In this week’s episode Katherine Forrest and Anna Gressel explore the nuances between misinformation and disinformation, the role of AI in spreading falsehoods and the innovative tools being developed to combat these threats.

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This week, Katherine Forrest and Anna Gressel look at some of the benefits, potential risks and safeguards that companies may want to consider when using AI to generate code.

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Join Katherine Forrest and Anna Gressel as they explore the challenges and opportunities of scaling AI models, from data walls to Moore's law, in this episode of "Waking Up With AI."

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In this week’s episode of “Waking Up With AI,” Katherine Forrest and Anna Gressel explore the ways in which the AI user interface (UI) may be changing, from text-based interfaces to robots, brain-machine interfaces and more.

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This week, Katherine Forrest and Anna Gressel discuss how courts are grappling with the evidentiary issues raised by AI-generated or manipulated content, such as deepfakes, and how the federal judiciary is considering new rules to address them.

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Join Katherine Forrest and Anna Gressel as they delve into the latest advancements in AI policy, regulation, and agentic technology. On this week’s episode they discuss how AI agents are transforming industries and the critical compliance and governance issues that come with these innovations.

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In this episode of “Waking Up With AI,” Katherine Forrest and Anna Gressel explore the transformation of LLM capabilities over the past few years. Are these models merely engaging in word prediction, or can they actually “reason”?

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This week, Katherine Forrest and Anna Gressel explore a new tool that can generate podcasts from text input. Can they spot the signs of artificiality, and how does this tool challenge our assumptions about media and communication?

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