AI learning answer
Which AI release notes should I actually follow?
Short answer from Learnetto's Best AI resources for model release notes and migrations guide.
Short answer
Follow the official changelog or release-note page for every provider you actively use, plus its deprecations or shutdown page if available. OpenAI, Anthropic, Gemini, DeepSeek, Mistral, xAI, and OpenRouter all publish enough primary-source change data now that third-party summaries should be secondary.
Useful resources
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The AI Engineer Roadmap
Free tutorial · Matt Pocock · Beginner to intermediate
You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.
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OpenAI external models
Guide · OpenAI · Intermediate
You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow.
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OpenAI model guide
Model docs · OpenAI · Beginner to advanced
You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths.
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OpenAI API changelog
Release notes · OpenAI · Intermediate
You want the official running log of OpenAI API launches, pricing shifts, renamed features, and model changes before updating a workflow or teaching page.
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OpenAI deprecations
Migration guide · OpenAI · Intermediate
You need OpenAI's current retirement schedule and recommended replacements before pinning model IDs in evals, coding agents, or user-facing features.
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OpenAI all models
Model catalog · OpenAI · Beginner to advanced
You want the current full OpenAI model catalog, including older and deprecated entries, before wiring exact model IDs into evals, tooling, or migrations.
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Codex changelog
Release notes · OpenAI · Beginner to advanced
You need the current Codex feature timeline before teaching a workflow that depends on new app, CLI, subagent, skill, or MCP behavior.
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OpenAI reasoning model guide
Guide · OpenAI · Intermediate
You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.