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"We show systematic underperformance of GPT-4, Llama 3, and Claude 3 Opus targeted towards users with lower English proficiency, less education, and from non-US origins."

Even if you're trying and willing to learn as a less skilled user, it will be harder to gain knowledge from a LLM. A book is the same for all readers…


I had the same issues, so I built a macOS menu-bar app that does one-click git pull/commit/push for any local folder, including Obsidian vaults. Uses the system git binary, fast-forward merges only (stops on conflict instead of silently merging), blocks secrets before push.


I had Max plan and never reached its limit despite constantly working. Now I use the Pro plan and regularly reach the 5h limit as well as the weekly limit, as expected. I found that it makes a huge difference if you provide clear context when developing code. If you leave open room for interpretation, Claude Code uses tokens up much faster than in a defined context. The same is true for his time to answer getting longer if there isn't much documentation about the project.


AI has solved the "code problem", but it hasn't solved the "marketing problem"…


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