
<p>Your 70-Billion-Parameter Model Might Be 40% Wasted</p><p>Three papers from February 1–6, 2026 converge on a question the field has been avoiding since 2016: what if most transformer layers aren't doing compositional...


technology
Hosted by LLMs Research · technology · EN
Podcast covering important research papers of large language models. llmsresearch.substack.com
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Contact path
Public web form
Booking probability
18%
Guest openness
Selective
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Signup to Generate a PitchLLMs Research Podcast is hosted by LLMs Research. The show has published 10 episodes to date.
Recent episodes include "Your 70-Billion-Parameter Model Might Be 40% Wasted" (11 February 2026, 12 minutes), "Fixing Reasoning from Three Directions at Once" (7 February 2026, 13 minutes), and "Mamba's Memory Problem" (2 February 2026, 7 minutes).
LLMs Research Podcast publishes roughly weekly, with episodes averaging 16 minutes across 10 episodes.
Booking probability for LLMs Research Podcast is 18%, and the host is rated Selective on guests. LLMs Research Podcast requires a Pod Score of 80 or higher. LLMs Research Podcast's contact route on record: public web form.
The strongest fits for LLMs Research Podcast are Scientific Research & Development and IT Services & Software Development. LLMs Research Podcast has a technology audience.
LLMs Research hosts LLMs Research Podcast, a technology podcast with 10 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

<p>Your 70-Billion-Parameter Model Might Be 40% Wasted</p><p>Three papers from February 1–6, 2026 converge on a question the field has been avoiding since 2016: what if most transformer layers aren't doing compositional...

<p>Fixing Reasoning from Three Directions at OnceLLMs Research Podcast | Episode: Feb 1–6, 2026</p><p>DeepSeek-R1 made RL the default approach for reasoning. This episode covers the 30 papers from the first week of...

Episode #3
<p>State space models like Mamba promised linear scaling and constant memory. They delivered on efficiency, but researchers kept hitting the same wall: ask Mamba to recall something specific from early in a long...

<p>Episode Title: What ICLR 2026 Taught Us About Multi-Agent Failures</p><p>Episode Summary: We scanned ICLR 2026 accepted papers and found 14 that address real problems when building multi-agent systems: slow...

<p>The podcast discusses the technical shift in large language models from a standard 512-token context window to modern architectures capable of processing millions of tokens. Initial growth was constrained by the...

<p>Jan 17–23, 2026: The Rise of the Action LayerHow multimodal AI is shifting from passive perception to active controlThe current landscape of research reflects a shift toward Multimodal Agentic Intelligence, where...

<p>Over the past several years, we have moved from the machine learning era through the large language model era and into what researchers now call the agent era. But we did not arrive here overnight. A series of...

<p>The focus of LLM research is undergoing a significant shift from simply increasing model size to making existing capabilities practically usable for deployment. This week’s papers highlight four emerging themes...

<p>Key takeaway from todays podcast:</p><p>Robust Reasoning: The Holonomic Network achieves perfect fidelity extrapolation 100x beyond training lengths, demonstrating a new universality class for logical reasoning with...

<p>* Bayesian & Cognitive Advances: Transformers achieve ultra-precise Bayesian inference with 10⁻³ to 10⁻⁴ bit accuracy, while CREST boosts reasoning accuracy by 17.5% and cuts token usage by 37.6%.</p><p>* Model...
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