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Artwork for AI Post Transformers

AI Post Transformers

mcgrof
Artificial Intelligence
Large Language Models
Reinforcement Learning
Machine Learning
Speculative Decoding
Transformers
Neural Networks
KV Cache
Retrieval Augmented Generation
AI Models
SSD
Deep Learning
Deep Learning Recommendation Models
AI Safety
Generative AI
Knowledge Distillation
AI Agents
Transformer Architecture
Agentic AI
Nvidia

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.

PublishesDailyEpisodes557Founded8 months ago
Number of ListenersCategory
Technology

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Artwork for AI Post Transformers

Latest Episodes

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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Hosts

Hal Turing
Host focusing on AI systems and research discourse; central figure in presenting and critiquing papers.
Dr. Ada Shannon
Co-host who analyzes and explains papers, provides critical insights, and contributes research context.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#148
Saudi Arabia/Technology
Apple Podcasts
#191
Israel/Technology
Apple Podcasts
#220
South Korea/Technology

Talking Points

Recent interactions between the hosts and their guests.

Agentic Reasoning for Large Language Models: A Comprehensive Roadmap
Q: What happens when you put a bunch of these agents in a room together?
This is collective multi-agent reasoning, where agents communicate and structure themselves like a human corporation.
Agentic Reasoning for Large Language Models: A Comprehensive Roadmap
Q: Are we finally solving the amnesia problem?
We are getting close, shifting from fixed models to systems that improve over time without massive re-training costs.
Explaining AI for Digital Advertising with LLMs
Q: Did real marketing professionals actually find this useful?
Yes, the feedback on the framework was overwhelmingly positive, especially with the high-level summaries and insights.
Explaining AI for Digital Advertising with LLMs
Q: Once you get that prediction, say below average, how do you then bridge that gap? How do you actually make it better?
The explainable part of XAI plays a role where it provides visual heat maps indicating areas to improve.
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning
Q: How might leveraging these highly calibrated foundation models change the way you approach data collection and model deployment in your own field?
Leveraging these models opens doors for AI in dynamic environments, enhancing the ability to learn from scarce and unpredictable data.

Audience Metrics

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Frequently Asked Questions About AI Post Transformers

What is AI Post Transformers about and what kind of topics does it cover?

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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1. Y Combinator Startup Podcast
2. Odd Lots

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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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