Topics
AI Model Selection and Evaluation
How to choose between GPT-5.4 and Claude Opus, why search drifts, and how to find firsthand info on Reddit.
Covers practical judgments still in use today: GPT-5.4 pricing and access points, whether Claude Opus is worth adopting, why models drift when handling new information, and how to use Reddit to find workflows and avoid pitfalls.
Articles
- Sizing Up Claude Opus 4.7: Should You Upgrade, What It's Good For, and Where It Costs the MostLaying out the public information and real-world feedback on Claude Opus 4.7. Where it beats 4.6, where it costs more, and which scenarios it fits—far more useful than benchmarks.
- Do Models 'Get Dumber' the Moment They Hit New Information? A Practical Breakdown of Search DifferencesWhen you ask about things that only appeared after 2025, why do so many large models suddenly get slow and vague? This piece skips the parameters.
- AI Source List: How to Use Reddit to Find Models, Tools, and Workflows in One PlaceAn entry map for Reddit's AI ecosystem. Highly active subreddits organized by use case, so you can target the right people, case studies, tools, and hard-learned lessons.
- Choosing Between GPT-5.4-thinking and GPT-5.4-pro: Pricing, Access, and Limits ExplainedThe biggest dilemmas in the GPT-5.4 lineup: whether specs actually changed, how much more it costs, where regular users can access it, what limits apply across the API and IDEs, and whether pro is worth the upgrade.