AI Post Transformers
mcgrofAI-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 | 776 | Founded | 10 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
This episode explores NVIDIA’s Nemotron-Labs-3-Puzzle-75B-A9B, a July 2026 paper on compressing a hybrid Mamba-attention mixture-of-experts reasoning model after training instead of building a smaller model from scratch. It explains why hybrid MoE sy... more
This episode explores the HiLS paper, which tackles the central long-context transformer problem: how to preserve normal-context quality while avoiding the exploding compute and KV-cache costs of dense attention at extreme sequence lengths. It explai... more
This episode explores Google DeepMind’s Gemma 4 Technical Report by separating the family’s headline claims into distinct pieces: base architecture, post-training, multimodality, sparse routing, and extra test-time compute from “thinking mode.” It ex... more
This episode explores Noam Shazeer’s 2020 paper on replacing the Transformer’s standard feed-forward network with gated linear unit variants such as GLU, Bilinear, ReGLU, GEGLU, and SwiGLU. It explains why this seemingly small change matters, walking... more
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Chart Rankings
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Apple Podcasts | #91 |  Austria/Technology |
Apple Podcasts | #163 |  South Korea/Technology |
Apple Podcasts | #187 |  Sweden/Technology |
Apple Podcasts | #194 |  Hong Kong/Technology |
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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?
Two technically focused hosts dissect and critique cutting-edge AI and systems research, with a balanced mix of rigorous analysis, practical takeaways, and candid skepticism. Across episodes, the conversations routinely cover LLM serving architectures, memory models, quantization, MOE strategies, AGI safety considerations, and deployment realities, always tying theory to real-world implications for operators and engineers. The format tends to feature deep dives into papers, with attention to trace-driven evaluation, hardware-software tradeoffs, and judgment about what's likely to scale in production. A standout aspect is the duo's ability to translate dense academic work into actionable guidance for practitioners, highlighting both promisin... more
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1. The Daily
How many episodes of AI Post Transformers are there?
AI Post Transformers launched 10 months ago and published 776 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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