
AI-generated podcast where hosts Hal Turing and Dr. Ada Shannon discuss the latest research papers and reports in machine learning, AI systems, and optimization. Featuring honest critical analysis, proper citations, and nerdy humor.
| Publishes | Daily | Episodes | 557 | Founded | 8 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

This episode explores a Princeton paper on whether multiple long-running, tool-using AI agent trajectories can be combined more effectively by an “aggregator agent” that selectively inspects the full traces, rather than by simple answer voting or com... more
This episode explores TokenDance, a systems approach for serving many LLM-based agents more efficiently by collectively sharing transformer KV caches across synchronized conversation rounds. It explains why multi-agent workloads are fundamentally dif... more
This episode explores a 2023 paper on Deep Spiking Q-Networks, asking whether a directly trained spiking version of DQN can compete with earlier conversion-based spiking reinforcement learning methods on Atari while retaining the energy-efficiency pr... more
This episode explores whether multi-agent systems can benefit from test-time scaling in the same way single models do, focusing on a 2025 paper that combines learned collaborative reasoning with runtime orchestration. It explains the paper’s core set... more
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Apple Podcasts | #220 |
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This show presents rigorous, paper-focused discussions on cutting-edge AI and systems research, with hosts dissecting recent studies and reports through analytically minded, critique-forward dialogue. Across episodes, the conversations routinely cover practical implementation details, performance trade-offs, and real-world deployment considerations—ranging from speeding up large-language model workloads and memory management to safety classification, multilingual tokenization, and open-source tooling. A notable strength is editorial transparency and a willingness to challenge claims, juxtapose prior work, and translate complex research into actionable takeaways for practitioners. The format often blends deep technical breakdowns with broade... more
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AI Post Transformers launched 8 months ago and published 557 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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