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#architectures

@gklambauer: The Illustrated Recurrence: From Amari-Hopfield Nets to GPT-6 Astra First blog. Recurrence has been discussed since GPT…

X AI KOLs Timeline ↗ · 6d ago Cached

A blog post by Günter Klambauer providing an illustrated overview of recurrence in neural networks, tracing its history from Amari-Hopfield Nets to mentions of GPT-6 Astra and categorizing various architectures based on recurrence patterns.

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#architectures

Latent Reasoning Landscape in 2026: Mapping BDH-CQ, HRM/TRM, Coconut [D]

Reddit r/MachineLearning ↗ · 2026-09-01

The article explores latent reasoning as an alternative to chain-of-thought in AI, categorizing five families of approaches and discussing implications for AGI and interpretability.

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#architectures

AI by Hand

Hacker News Top ↗ · 2026-08-14 Cached

Prof. Tom Yeh introduces his Substack newsletter 'AI by Hand,' focusing on math, algorithms, and architectures related to AI, with over 73,000 subscribers.

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#architectures

@UnTalNixon_exe: THE MOST COMMON ERROR IN MULTI-AGENT SYSTEMS ISN'T THE ONE YOU THINK It's not choosing the wrong model. It's not prompt…

X AI KOLs Timeline ↗ · 2026-08-13 Cached

The article discusses a Stanford paper that identifies information loss during handoffs as the most common error in multi-agent systems and presents architectures and a standard loop with shared memory, message schemas, observability, and guardrails to enhance performance.

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#architectures

@hasantoxr: The 3 architectures every Al agent builder needs to know.

X AI KOLs Timeline ↗ · 2026-06-24 Cached

This tweet highlights three key architectures that developers building AI agents should know, likely linking to a resource or article.

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#architectures

Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment

arXiv cs.CL ↗ · 2026-06-24 Cached

A comprehensive survey of transformer-based language models covering architectures, applications across domain verticals (healthcare, finance, legal, etc.), and critical assessment of trade-offs including compute cost, alignment, and data provenance.

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#architectures

@_vmlops: Deep Learning Foundations, Architectures & Engineering Practice https://drive.google.com/file/d/1XJISCOICgEzozRpLHPC_Tw…

X AI KOLs Timeline ↗ · 2026-06-16

A document titled 'Deep Learning Foundations, Architectures & Engineering Practice' is shared, likely covering fundamental concepts, architectures, and practical engineering aspects of deep learning.

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#architectures

@UnTalNixon_exe: The Definitive Map of AI Agents: 35 Agentic Architectures with Comparative Benchmarks Building an AI agent isn’t just a…

X AI KOLs Timeline ↗ · 2026-06-09 Cached

This article presents a repository that systematically gathers and benchmarks 35 AI agent architectures, helping developers choose effective control structures for production systems.

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#architectures

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

arXiv cs.LG ↗ · 2026-06-02 Cached

A comprehensive survey of world models that provides a multi-axis taxonomy covering architectures, methodologies, reasoning strategies, and applications across AI domains, including key systems like Dreamer, MuZero, and Sora.

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#architectures

CogScale: Scalable Benchmark for Sequence Processing

arXiv cs.AI ↗ · 2026-05-20

CogScale is a benchmark of 14 scalable synthetic tasks designed to isolate and evaluate cognitive and memory abilities in sequence processing models. It provides a lightweight framework for rapid architectural validation and includes evaluations of seven architectures under strict parameter budgets.

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