AI:AM Highlights: Exploring the J-Space, AI Superforecasters, SambaNova's Chips, & LTX Video Gen

About this episode

The episode explores AI interpretability and forecasting through various expert insights and discussions on current AI technologies.

Nathan Labenz and Prakash Narayanan lead this AI:AM highlights episode with a live, hosts-only exploration of Anthropic’s “global workspace” paper, including the J-space and J-lens claims about readable concepts inside language models and the limits of what current probes can see. The episode then moves through Prakash’s AI Engineer World’s Fair field notes, Pangram AI-writing detector experiments, Dan Schwarz of FutureSearch on past-casting and AI superforecasting, Zeev Farbman on open world models, and Kunle Olukotun on the compute layer. The central stake is whether interpretability tools, forecasting benchmarks, enterprise deployment patterns, and AI hardware can make increasingly capable systems more legible and governable before their reasoning becomes too hidden to trust. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/ai-am-highlights-exploring-the-j-space-ai-superforecasters-sambanova-s-chips-ltx-video-gen/ Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore…

People in this episode

Hosts: Nathan Labenz, Prakash Narayanan

Topics covered

• AI interpretability
• superforecasting
• language models
• AI hardware
• enterprise deployment
• hidden reasoning

Keywords

• J-space
• AI superforecasters
• Claude
• AI hardware
• language models
• interpretability tools

Sponsors

Claude

Mentioned in this episode

Organizations: Anthropic, Pangram AI, FutureSearch

Products: Claude

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