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The Grok 4.20 Manifesto: Multi-Agent Logic and the Quest for Unfiltered Truth
In this deep dive, Neural Intel explores the inner workings of Grok 4.20. We analyze how this model utilizes stateful Python 3.12.3 execution and adv…
5Â months, 2Â weeks ago
The End of Memory Bottlenecks: How Fiber Optics and Ganged Flash Power Trillion-Parameter Models
In this episode, Neural Intel dives deep into the hardware revolution that could replace traditional DRAM. We analyze the recent demonstration of 256…
5Â months, 2Â weeks ago
Interview with Dario Amodei from Anthropic: Inside the $100B "Big Blob of Compute" & The 2030 AGI Certainty
Is the AI revolution a "soft takeoff" or an impending economic explosion? In this comprehensive interview with Dario Amodei from Anthropic, we explor…
5Â months, 2Â weeks ago
The OpenClaw Saga: Peter Steinberger on Self-Modifying AI and the Age of the Lobster
The OpenClaw Saga: Peter Steinberger on Self-Modifying AI and the Age of the LobsterPodcast Description: In 2022, we had ChatGPT. In 2025, DeepSeek. …
5Â months, 2Â weeks ago
Inside the 180 Billion HKD Breakthrough: How MiniMax M2.5 Scaled Agentic RL
Join Neural Intel for an exhaustive deep dive into the most significant AI release of early 2026. MiniMax M2.5 isn't just another incremental update;…
5Â months, 2Â weeks ago
The 744B Parameter Giant: How GLM-5 and Domestic Chips Redefine the Global AI Order
On February 11, 2026, the global AI landscape changed forever. Zhipu AI—one of China’s "AI Tigers"—unveiled GLM-5, a model that marks the end of the …
5Â months, 3Â weeks ago
The OpenClaw Security Crisis: Can We Control Autonomous AI Swarms?
In this episode of the Neural Intel podcast, Berlioz goes deep into the technical architecture of OpenClaw and the emergent behaviors of the Moltbook…
5Â months, 4Â weeks ago
Is Consciousness Only in Your Head?
In this episode of Neural Intel, we go beyond the human brain to ask a radical question: Is the entire cosmos a self-organizing, conscious system?. D…
6Â months ago
Methods and Applications of Parametric Sensitivity Analysis
Sensitivity analysis (SA) is the rigorous study of how uncertainty in a model’s output can be apportioned to various sources of uncertainty in its in…
6Â months, 1Â week ago
The Architecture of Choice: Scaling MIT’s Decision Algorithms
Join Neural Intel for an exhaustive exploration of the theories and algorithms that power autonomous intelligence. Drawing directly from the MIT Pres…
6Â months, 2Â weeks ago