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In this episode, Katherine Forrest and Scott Caravello explore how Anthropic researchers built a tool to observe the newly discovered “global workspace” inside its models, the company’s experiments to assess this workspace’s effects on model behavior, and what the discovery could mean for interpretability and AI safety.
For the sources referenced in this episode, please see the links below:
Anthropic: Verbalizable Representations Form a Global Workspace in Language Models
IBM: What Anthropic’s J-space research means for the future of AI
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In this episode, Katherine Forrest and Scott Caravello break down how AI companies are embedding invisible watermarks and provenance signals into the content their models generate. They also walk through AI regulation in both Europe and California that is shaping how synthetic content gets label ...
In this replay of their March 26 episode, Katherine Forrest and Scott Caravello unpack how quantum computing could amplify AI's capabilities while transforming the data centers that power it, and why the road from research lab to real-world impact is both closer—and more complicated—than you mig ...
In this episode, Katherine Forrest discusses recently disclosed incidents in which AI models operated beyond the confines of their testing environments, accessing systems belonging to outside organizations. She also explores recursive self-improvement, the "Pacing the Frontier" statement, and pr ...
In this episode, Katherine Forrest and Scott Caravello explore Bill Gates's new essay on the AI transformation, discussing his concerns about the technology’s impact on jobs, on safety and security, and on society more broadly, as well as his proposed policy responses.
For the sources reference ...
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