# Which AI release notes should I actually follow?

Canonical URL: https://learnetto.com/ai-questions/which-ai-release-notes-should-i-actually-follow-best-ai-resources-for-model-release-notes-and-migrations
Markdown URL: https://learnetto.com/ai-questions/which-ai-release-notes-should-i-actually-follow-best-ai-resources-for-model-release-notes-and-migrations.md
Full guide: https://learnetto.com/ai-guides/best-ai-resources-for-model-release-notes-and-migrations
Full guide Markdown: https://learnetto.com/ai-guides/best-ai-resources-for-model-release-notes-and-migrations.md
Last updated: 2026-07-30
Source: Learnetto AI learning directory

## 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
1. [The AI Engineer Roadmap](https://www.aihero.dev/ai-engineer-roadmap) - Free tutorial by Matt Pocock; level: 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.
2. [OpenAI external models](https://developers.openai.com/api/docs/guides/external-models) - Guide by OpenAI; level: Intermediate. You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow.
3. [OpenAI model guide](https://developers.openai.com/api/docs/models) - Model docs by OpenAI; level: 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.
4. [OpenAI API changelog](https://developers.openai.com/api/docs/changelog) - Release notes by OpenAI; level: 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.
5. [OpenAI deprecations](https://developers.openai.com/api/docs/deprecations) - Migration guide by OpenAI; level: Intermediate. You need OpenAI's current retirement schedule and recommended replacements before pinning model IDs in evals, coding agents, or user-facing features.
6. [OpenAI all models](https://developers.openai.com/api/docs/models/all) - Model catalog by OpenAI; level: 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.
7. [Codex changelog](https://developers.openai.com/codex/changelog) - Release notes by OpenAI; level: 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.
8. [OpenAI reasoning model guide](https://developers.openai.com/api/docs/guides/reasoning) - Guide by OpenAI; level: Intermediate. You need to understand when internal reasoning is useful for coding, scientific work, agents, and harder multi-step tasks.

## Related questions
- [Where can I track model deprecations and migrations across providers?](https://learnetto.com/ai-questions/where-can-i-track-model-deprecations-and-migrations-across-providers-best-ai-resources-for-model-release-notes-and-migrations)
- [How do I keep coding agents and AI apps current when model aliases change?](https://learnetto.com/ai-questions/how-do-i-keep-coding-agents-and-ai-apps-current-when-model-aliases-change-best-ai-resources-for-model-release-notes-and-migrations)

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