Call Me Almanac

Library

Plain-language guides to the models, labs, and ideas shaping AI — synthesized from the corpus.

All Topics Concepts Entities

Reinforcement LearningConcept

Reinforcement Learning: How AI Learns by Doing

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Mixture of ExpertsConcept

Mixture of Experts: How AI Models Do More by Using Less

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Constitutional AIConcept

Constitutional AI: Teaching Models to Follow Principles, Not Just Rules

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Chain-of-Thought ReasoningConcept

Chain-of-Thought Reasoning: Teaching AI to Show Its Work

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Diffusion ModelsConcept

Diffusion Models: How AI Learns to Paint by Unpainting

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Direct Preference Optimization (DPO)Concept

Direct Preference Optimization (DPO): Aligning AI Without a Reward Model

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knowledge distillationConcept

Knowledge Distillation: Teaching Small Models to Punch Above Their Weight

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LLM-as-a-JudgeConcept

LLM-as-a-Judge: Using AI to Grade AI

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GRPOConcept

GRPO: The Lightweight RL Trick Behind Today's Reasoning Models

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mechanistic interpretabilityConcept

Mechanistic Interpretability: Looking Inside the AI Black Box

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MambaConcept

Mamba: The Attention-Free Architecture That Scales Without Slowing Down

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LoRAConcept

LoRA: How to Teach a Giant AI New Tricks Without Rebuilding It

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PPOConcept

PPO: The Reinforcement Learning Algorithm That Taught AI to Learn from Feedback

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prompt injectionConcept

Prompt Injection: The Security Threat Hiding in Plain Text

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Model Context ProtocolConcept

Model Context Protocol (MCP): The Universal Plug for AI Agents

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Reinforcement Learning from Human FeedbackConcept

Reinforcement Learning from Human Feedback (RLHF): Teaching AI to Do What You Mean

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Reinforcement Learning with Verifiable RewardsConcept

Reinforcement Learning with Verifiable Rewards (RLVR): Teaching AI to Check Its Own Work

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Retrieval-Augmented GenerationConcept

Retrieval-Augmented Generation (RAG): Giving AI a Library Card

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scalable oversightConcept

Scalable Oversight: Teaching AI to Help Humans Stay in Charge

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supervised fine-tuningConcept

Supervised Fine-Tuning: Teaching an AI to Do Your Job

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speculative decodingConcept

Speculative Decoding: Making AI Faster Without Changing the Answer

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Vision-Language ModelsConcept

Vision-Language Models: Teaching AI to See and Read at Once

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Claude

Claude: Anthropic's AI Assistant Built for Safety and Scale

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Claude Opus 4.6

Claude Opus 4.6: Anthropic's Milestone Model for Long-Context and Agentic Work

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Claude Code

Claude Code: Anthropic's Autonomous Coding Agent

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ChatGPT

ChatGPT: The AI Assistant That Changed How the World Talks to Computers

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Anthropic

Anthropic: The AI Safety Company at the Center of the Frontier

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GPT-5.5

GPT-5.5: OpenAI's Most Capable Model — and Its Most Complicated

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Google

Google: The AI Lab That Builds Everything from DNA Models to Your Phone's Assistant

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Google DeepMind

Google DeepMind: The Lab Behind Gemini, AlphaFold, and Frontier AI

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Hugging Face

Hugging Face: The Home of Open-Source AI

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Mistral AI

Mistral AI: Europe's Open-Weights AI Challenger

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OpenAI

OpenAI: The Lab That Made AI a Household Word

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Frontier Model ReleasesTopic guide

Frontier Model Releases: The Race From Language to Action

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Long Context EvolutionTopic guide

Long Context Evolution: From Bigger Windows to Smarter Memory

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Amazon Web Services

Amazon Web Services: The Cloud Backbone of the AI Era

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Codex

Codex: OpenAI's AI Coding Agent

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DeepSeek V4

DeepSeek V4: The Open-Weights Giant Reshaping AI Economics

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Microsoft

Microsoft: The AI Infrastructure Giant Betting on Every Horse

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NVIDIA

NVIDIA: The Hardware Backbone of the AI Era

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Inference EconomicsTopic guide

Inference Economics: The Cost of Running AI in Production

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Agent and Tool EcosystemTopic guide

Agent and Tool Ecosystem: How AI Is Learning to Act, Not Just Answer

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Enterprise Deployment PatternsTopic guide

Enterprise Deployment Patterns: From AI Demo to Production Reality

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Evaluation and BenchmarkingTopic guide

Evaluation and Benchmarking: How We Measure AI — and Why It Keeps Getting Harder

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Multimodal ProgressTopic guide

Multimodal Progress: How AI Learned to See, Hear, and Act

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AI Safety ResearchTopic guide

AI Safety Research: From Lab Policies to Real-World Flashpoints

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Open Weights ProgressTopic guide

Open Weights Progress: How Freely Available AI Models Caught Up to the Frontier

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Training InfrastructureTopic guide

Training Infrastructure: The Compute Arms Race Powering Modern AI

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Alignment and RLHFTopic guide

Alignment and RLHF: Teaching AI Models to Behave

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Regulatory DevelopmentsTopic guide

AI Regulatory Developments: From Voluntary Frameworks to Government Enforcement

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