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che_shr_cat

708 karma · joined March 21, 2016

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Universal Transformers Need Memory: Depth-State Trade-Offs in Adaptive Recursive

arxiv.org·1 pts·che_shr_cat·
0

Game: Storm Cloud Simulator / Pure HTML5

cloud-heavy-industries.com·1 pts·che_shr_cat·
0

The Selfish Ribosome

biorxiviq.substack.com·1 pts·che_shr_cat·
0

Embedded Universal Predictive Intelligence: a coherent framework for multi-agent

arxiviq.substack.com·1 pts·che_shr_cat·
0

NeurIPS 2025 Best Papers in Comics: From Artificial Hivemind to 1000-Layer RL

gonzoml.substack.com·3 pts·che_shr_cat·
0

Visualizing Research: How I Use Gemini 3.0 to Turn Papers into Comics

gonzoml.substack.com·1 pts·che_shr_cat·
0

Arc Is a Vision Problem

arxiviq.substack.com·1 pts·che_shr_cat·
0

AlphaResearch: Accelerating New Algorithm Discovery with Language Models

arxiviq.substack.com·1 pts·che_shr_cat·
0

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

arxiviq.substack.com·2 pts·che_shr_cat·
1

Nested Learning: The Illusion of Deep Learning Architectures

arxiviq.substack.com·6 pts·che_shr_cat·
0

Context Engineering 2.0: The Context of Context Engineering

arxiviq.substack.com·2 pts·che_shr_cat·
0

A Practitioner's Guide to Kolmogorov-Arnold Networks

arxiviq.substack.com·1 pts·che_shr_cat·
0

Kimi Linear: An Expressive, Efficient Attention Architecture

arxiviq.substack.com·1 pts·che_shr_cat·
0

The Principles of Diffusion Models (470-pages)

arxiviq.substack.com·2 pts·che_shr_cat·
0

CaT Replaces CoT-SC / Compute as Teacher: Turning Inference Compute Into

arxiviq.substack.com·2 pts·che_shr_cat·
0

Tiny Recursive Model (TRM) vs. Hierarchical Reasoning Model (HRM)

gonzoml.substack.com·2 pts·che_shr_cat·
0

Barbarians at the Gate: How AI Is Upending Systems Research

arxiviq.substack.com·2 pts·che_shr_cat·
0

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

arxiviq.substack.com·2 pts·che_shr_cat·
0

Autoreview: The Dragon Hatchling – The Missing Link Between the Transformer and

arxiviq.substack.com·2 pts·che_shr_cat·
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Stochastic Activations

gonzoml.substack.com·2 pts·che_shr_cat·
0

LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures

arxiviq.substack.com·1 pts·che_shr_cat·
0

Review: SpikingBrain Technical Spiking Brain-Inspired Large Models

arxiviq.substack.com·2 pts·che_shr_cat·
0

K2-Think: A Parameter-Efficient Reasoning System

arxiviq.substack.com·2 pts·che_shr_cat·
1

Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of AI

arxiviq.substack.com·1 pts·che_shr_cat·
0

Fantastic Pretraining Optimizers and Where to Find Them

arxiviq.substack.com·2 pts·che_shr_cat·
0

Solving the compute crisis with physics-based ASICs

arxiviq.substack.com·5 pts·che_shr_cat·
0

Critiques of World Models

arxiviq.substack.com·2 pts·che_shr_cat·
0

DeepConf: Scaling LLM reasoning with confidence, not just compute

arxiviq.substack.com·98 pts·che_shr_cat·
35

V-JEPA 2: Scaling V-JEPA

gonzoml.substack.com·2 pts·che_shr_cat·
0

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

arxiviq.substack.com·3 pts·che_shr_cat·
0
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