End-to-End Test-Time Training: Making Long Context Work Without the Memory Tax2026-01-15T11:00:00Z•16 min read#llm#long context#test-time training#machine learning#transformers#inference optimizationHow TTT-E2E achieves constant inference latency regardless of context length by treating long context as a learning problem rather than an architecture problem.
Code World Models: Teaching LLMs to Simulate Execution2025-12-18T21:00:00Z•15 min read#code generation#world models#llm#agentic ai#software engineering#meta aiHow Meta's Code World Model applies the "dreaming car" insight from robotics to software engineering, achieving 65.8% on SWE-bench Verified by training on execution traces rather than static code.
The Stability-Plasticity Dilemma: How Memory Architectures Are Solving Continual Learning2025-12-09T10:00:00+00:00•18 min read#continual-learning#catastrophic-forgetting#memory-layers#machine-learning#llmA comparative analysis of approaches to catastrophic forgetting in language models, from parameter regularization to sparse memory architectures that reduce forgetting from 89% to just 11%.
Mixture of Experts: The Efficiency Trick Behind Modern AI2025-12-08•7 min read#machine learning#moe#efficiency#llm#architecture#mixtral#deepseek#neural networksMixtral uses 46.7B parameters but only activates 13B per token. This architectural trick called Mixture of Experts powers Gemini 1.5, DeepSeek V3, and more. Learn how MoE works, its hidden costs, and when to use it.
Skills vs Slash Commands: A Developer's Guide to Claude Code Agents and Tools2024-10-26T20:52:18Z•9 min read#claude-code#ai-agents#anthropic#developer-tools#llm#agentic-systemsSkills vs Slash Commands: understand the key differences, when to use each, and how they work together in Claude Code. Learn which abstraction fits your workflow with practical examples and decision frameworks.
Meta MCP: When AI Builds Its Own Bridge to the World2024-07-08T12:54:48+01:00•3 min read#ai#llm#software architecture#meta#agent#future techDiscover Meta MCP: LLMs that generate both UI and backend servers to interact persistently beyond simple request-response cycles.