// FIELD NOTES
Professional technical writing with visual summaries and example-backed term explainers.
A reading order covering SNN modeling, backpropagation, STDP, SpikeProp, ANN-to-SNN conversion, SuperSpike, SLAYER, and STBP to understand surrogate gradients, which train the discontinuous spikes of spiking neural networks through backpropagation.
A step-by-step explanation of how the HiPPO framework reformulates recurrent neural-network memory as online function approximation, including the intuition, mathematics, and experimental advantages of the LegS (Scaled Legendre) update.
A detailed explanation of the Legendre transform's intuitive meaning and mathematical definition, how it works through a harmonic-potential example, and its connection to partition functions and free energy through the Laplace transform. Each core idea follows a step-by-step problem–intuition–meaning progression.
An analysis of the purpose, core concepts such as proof methods, axioms, and induction, organization, and logical progression of MIT's Mathematics for Computer Science course notes (Lehman, Leighton, Meyer, 2018). It summarizes the table of contents and excerpts in the evidence pack while stating uncertainties.
A summary and analysis of Microsoft Research's Textbooks Are All You Need. It examines how the 1.3B-parameter code LLM phi-1 substantially improved HumanEval and MBPP performance through textbook-quality data and a small synthetic exercise dataset, along with the method's limitations.
A technical review of AgentsCAD: research that automates design-for-manufacturing (DFAM) modifications for FDM by combining STEP B-Rep parsing, overhang detection, GraphSAGE-based semantic label injection, multi-agent LLM reasoning with Claude Sonnet, and GPT-4o visual verification. It also states the uncertainty where evidence is limited.
A comparison and evaluation framework for agentic AI red-teaming tools in 2026. It focuses on integrated security and quality, agent-native testing, vulnerability-response pipelines, and organizational process, while stating the scope and limitations of the source material.
A review of the practical implications of AISBF's OpenAI-compatible gateway routing, local CoderAI worker integration, and privacy and failover policies. It analyzes demo and self-hosting options and operational considerations from the available technical evidence.
A technical overview of the AutoGPT platform's autogpt_platform components, self-hosting flow, major tools including Forge, agbenchmark, the frontend, and CLI, and licensing considerations, based on the Significant-Gravitas/AutoGPT README and documentation excerpts. Because some source details are partial, consult the official documentation as well.
A README-based review of Claw Patrol's architecture, HCL and CEL rule representation, deployment modes, and operational considerations for protecting agents such as LLMs and automated processes.