#sparse activation
161 related articles
·3 min
The Collapse of the Lexical Assumption: Analyzing the Implicit Feature Inheritance Challenge in AI Alignment
Deep analysis of implicit feature inheritance in AI alignment: Anthropic's research reveals model behavior can propagate independently of semantics, fundamentally challenging traditional RLHF safety mechanisms.
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·3 min
Why Are Uncensored Open-Source LLMs More Optimistic? A Deep Dive into Alignment Side Effects
Research finds uncensored open-source LLMs are measurably more optimistic than base models. This article analyzes how uncensoring changes model personality and the coupling effects of alignment.
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·2 min
Gemini 3.5 Flash Cyber: Google's Lightweight Model Built for Cybersecurity
Google launches Gemini 3.5 Flash Cyber, a lightweight AI model built for cybersecurity teams focused on proactive vulnerability discovery and patching before exploitation.
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·3 min
Kimi K3 vs Claude Real-World Test: Near-Equal Performance at 1/8 the Price
Real-world comparison of Kimi K3 vs Claude flagship across e-commerce pages, 3D fighting games, and flight simulators. Kimi K3 delivers 90% output quality at 1/8 the price with faster speeds and local deployment support.
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·3 min
Kimi K3 Reaches 2.5T Parameters, MiniMax M3 Pro Brewing Simultaneously: China's LLM Arms Race Escalates
Kimi K3 adopts new architecture with 2.5T parameters and 1M token context. MiniMax M3 Pro targets 2.7-3T. OpenAI surpasses 7M users, HY-OCR 1.5 achieves SOTA, Amap launches world model.
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·3 min
Kimi K3 Open-Source Release: 2.8 Trillion Parameters Tops Global Programming Leaderboard
Moonshot AI's Kimi K3 launches with 2.8 trillion parameters, tops LMArena frontend coding leaderboard as world #1, completing tasks at one-third competitors' cost. Fully open-source for commercial use.
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·4 min
Kimi K3 Released: 2.8 Trillion Parameter Open-Source Model Tops Global Coding Leaderboard
Moonshot AI releases Kimi K3, a 2.8 trillion parameter open-source model using MoE architecture that tops the global frontend coding arena at under $1 per task, beating GPT and Claude.
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·4 min
Colibri: Running a 744-Billion-Parameter LLM on an Ordinary Laptop
Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.
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·3 min
Running AI Inside DRAM: A Processing-in-Memory Experiment That Breaks DDR4 Timing Rules
Explore how deliberately violating DDR4 timing rules enables running PrismML's Bonsai AI model inside DRAM, covering the principles, energy benefits, and challenges of processing-in-memory.
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·3 min
How Hidden Layers Solve the XOR Problem: A Complete Walkthrough from Math to Geometry
A deep dive into how neural network hidden layers solve the XOR problem through feature space transformation, with math, geometry, and concrete examples.
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·5 min
Will Chinese Open-Source Models Burst the US AI Bubble? A Deep Dive into the Transmission Chain
Chinese open-source models like Kimi K3 and DeepSeek approach US closed-source performance at a fraction of the cost. This deep dive analyzes the transmission chain from price competition to valuation reassessment.
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·5 min
Multiway Turing Machines: A New Paradigm from Single Computation to Multiple Possibilities
An in-depth analysis of Wolfram's multiway Turing machines, exploring how computation expands from single paths to multiway graph structures, and deep connections to AI search algorithms and quantum computing.
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·7 min
DIY Companion Robot: Building Your AI Desktop Buddy with Jetson Orin
A maker builds a DIY companion robot with NVIDIA Jetson Orin and 4S LiPo battery. Explore the full development journey from first power-up to AI interaction, including edge computing, power design, and companion robot trends.
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·3 min
Laguna S 2.1: The Open-Source Coding Model That's 14x Smaller Yet Stronger
Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.
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·3 min
How China's Open-Source LLMs Are Closing In on America's Closed-Source Giants
Kimi, Alibaba Qwen, and DeepSeek leverage MoE architecture, home-field data advantages, and the open-source flywheel to close in on OpenAI and Anthropic at ultra-low cost. A deep dive into China's open-source LLM catch-up.
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·6 min
How the Creator of Redis Squeezed a 284B-Parameter DeepSeek into an Ordinary Laptop
Redis creator antirez built DS4 "Dwarf Star," a pure-C inference engine, using asymmetric quantization to compress DeepSeek V4 Flash from 500GB to 80.8GB for local 128GB unified-memory deployment at 26.7 tokens/sec.
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·6 min
How the Creator of Redis Squeezed a 284-Billion-Parameter DeepSeek Into an Ordinary Laptop
Redis author antirez built the pure-C inference engine DS4 "Dwarf Star," compressing DeepSeek V4 Flash from 500GB to 80.8GB via asymmetric quantization for local deployment on 128GB unified memory at 26.7 tokens/sec.
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·3 min
The T-Parameter Era of Open-Source LLMs: Four Chinese AI Companies Break the Trillion-Parameter Barrier
Moonshot AI, Alibaba, DeepSeek, and Meituan all crossed the trillion-parameter threshold. China's open-source LLMs made the B-to-T leap in just 18 months.
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·4 min
Complete Guide: Connecting DeepSeek and Other Chinese LLMs to Codex
No ChatGPT account? No problem. Learn how to connect DeepSeek and other Chinese LLMs to Codex using the Codex++ management tool — including Base URL setup, API Key creation, and token top-up.
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·4 min
jlens-gguf: Bringing Jacobian Lens Visualization and Steering to llama.cpp Local LLMs
jlens-gguf is an open-source tool bringing Anthropic's Jacobian Lens interpretability method to GGUF and llama.cpp, enabling internal observation, real-time steering, and abliteration for both dense and MoE models.
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