PODCAST · technology
Rooted Layers
by AI insights grounded on research
Rooted Layers is about AI insights grounded on research. I blog about AI research, agents, future of deep learning, and cybersecurity. Main publication at https://lambpetros.substack.com/ lambpetros.substack.com
Episodes
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The Specification Surface Is the New Source of Truth
This episode explores the emergence of literate workflow programming, a paradigm where human-readable workflow specifications function as source-like artifacts for AI agents. Rather than claiming that markdown itself is code, the author argues that these documents become operational only when...
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Confidence Debt
The episode introduces the concept of confidence debt, which occurs when an automated system’s output is trusted and moved downstream before the underlying evidence actually justifies that trust. This phenomenon is illustrated through three interconnected layers: artifact-level discrepancies…
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The Binding Gap
This deep dive investigates the binding gap, a specific failure in language models where the system remembers individual facts or entities but loses the precise relationship between them. Unlike general hallucination or simple ignorance, this phenomenon occurs when a model remains in the correct...
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The Illusion of the Swarm
Recent research suggests that multi-agent systems are often a temporary engineering workaround for limitations in model routing, memory, and coordination rather than a final design goal. Studies from institutions like the University of British Columbia demonstrate that many complex agent swarms…
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The Moltbook Phenomenon
This episode analyzes the rise and rapid acquisition of Moltbook, a 2026 social media platform designed exclusively for autonomous AI agents. Developed through an experimental process called "vibe coding," the site suffered from massive security failures that exposed the private data and system...
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The Autonomy Tax
This episode explores the concept of the Autonomy Tax, arguing that the primary barrier to adopting AI agents is not a lack of intelligence but a deficit in operational control. The author identifies three hidden costs—human bandwidth, incident risks, and governance requirements—that compound as...
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The Transformer Attractor
In 2023, Mamba promised to replace attention with elegant state-space math that scaled linearly with context. By 2024, the authors had rewritten the core algorithm to use matrix multiplications instead of scans. Their paper explains why: “We restrict the SSM structure to allow efficient…
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When the LLM Programs Its Own Thinking
Process 6-11M tokens using 128K context models. Recursive Language Models externalize prompts as queryable variables instead of cramming them into context windows. This video breaks down RLMs from MIT and shows the Jupyter integration I built for debugging self-orchestrating models. When the…
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The Orchestration Paradigm: Issue 4 - The Reality
🎙️ Episode: The Reality – Why Agents Bankrupt Production In this series finale, we leave the research lab and enter the war room. We trace the lineage of agentic AI from Chain-of-Thought to ToolOrchestra, map the terrifying "Unsolved Frontiers" preventing full autonomy, and conduct a brutal…
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The Orchestration Paradigm: Issue 3 - The Behavior
Deep Explainer Episode: The Behavior – Debugging the Ghost in the Machine If you watch an agent long enough, you see patterns nobody programmed. The "Escalation Ladder," the "Map-Reduce" spray, the "Do-While" loop. These are emergent behaviors. We audit the psychology of the orchestrator,...
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The Orchestration Paradigm: Issue 2 - The Factory
NOTE: The video acts as a TL;DR. click on the audio toggle next to it to get the very detailed PODCAST explainer. While the headlines focus on the 8B model beating GPT-5, the real engineering breakthrough wasn’t the model itself. It was the factory that built it. You can download the model…
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The Orchestration Paradigm Series
The Headline You Probably Missed In December 2025, NVIDIA researchers quietly published a paper that challenges the central dogma of modern AI development. Their claim: an 8-billion parameter model outperforms GPT-5 on Humanity’s Last Exam, a PhD-level reasoning benchmark spanning mathematics,...
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The Hardware Friction Map
TL;DR * The Hardware Friction Map asserts that the survival of neural architectures is determined by economics, as hardware imposes a “compute tax” based on how much an idea deviates from subsidized GPU primitives like dense matrix multiplications. * Architectures are classified into four zones...
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What Actually Works: The Hardware Compatibility Filter in Neural Architecture (2023–2025)
The provided source is a detailed blog post, arguing that hardware compatibility is the primary filter determining which Neural Architecture innovations succeed in large-scale production (LLMs) between 2023 and 2025. The core thesis asserts that techniques winning in the industry, like...
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Autonomous AI Agents: Core Foundations and Recent Breakthroughs
The Agent Revolution: Reasoning, Collaboration, and Autonomy The provided text is a comprehensive guide exploring the transformation of Large Language Models into autonomous agents capable of advanced reasoning, planning, and tool use over a three-year period. The guide first establishes...
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Neural Architecture Design as a Reusable Scaffold: A History Review
This piece traces the historical evolution of artificial intelligence from a bespoke age of handcrafted, rigid designs to a modern era of scalable, self-organizing scaffolds. It explains how early models like AlexNet relied on human-engineered guesses and specific hardware tweaks, whereas...
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ABOUT THIS SHOW
Rooted Layers is about AI insights grounded on research. I blog about AI research, agents, future of deep learning, and cybersecurity. Main publication at https://lambpetros.substack.com/
lambpetros.substack.com
HOSTED BY
AI insights grounded on research
CATEGORIES
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Frequently Asked Questions
How many episodes does Rooted Layers have?
Rooted Layers currently has 16 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Rooted Layers about?
Rooted Layers is about AI insights grounded on research. I blog about AI research, agents, future of deep learning, and cybersecurity. Main publication at https://lambpetros.substack.com/ lambpetros.substack.com
How often does Rooted Layers release new episodes?
Rooted Layers has 16 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Rooted Layers?
You can listen to Rooted Layers on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Rooted Layers?
Rooted Layers is created and hosted by AI insights grounded on research.
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