Hosted by AI insights grounded on research · 🇺🇸 US · EN · 16 episodes
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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
AI insights grounded on research hosts Rooted Layers, a technology show with 16 episodes published.
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
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 illus
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
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 th
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 suffe
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—h
This is for teams shipping LLM-assisted analysis in high-stakes workflows — protocol security, compliance auditing, code review — where “the model said so” isn’t good enough. Part 2 of Measuring Trust: The Gap Between AI
The Problem Nobody Wants to Hear About Every blockchain runs on a promise: the code does what the spec says it should. For Ethereum, that promise passes through a chain of documents and codebases. An EIP (Ethereum Improv
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 pa
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 Jupyt
🎙️ 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 terrif
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
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 mode
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 H
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 d
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
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
The provided sources detail various academic and industry frameworks utilizing Large Language Models (LLMs) to simulate advanced cyberattacks, primarily focusing on malware generation and comprehensive attack chain orche
A short, practical look at what actually works in production today across 27 AI agents—from desktop-control systems to open‑source engineering agents—and why the next breakthroughs won’t come from bigger models but from
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 rel
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Rooted Layers is hosted by AI insights grounded on research. The show is categorised under technology (news) and has published 16 episodes.
Rooted Layers has published 16 episodes.
Rooted Layers regularly covers technology, news. It sits in the technology category, with a news focus.
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