CODEX cheatsheet to reduce quota usage: 1. Scope the task tightly. Tell Codex exactly what to change, what not to touch, and how to verify it. Vague tasks burn tokens. 2. Use plan mode for unclear or multi-file work. Skip it for tiny edits. Use it when architecture, scope, or file impact is uncertain. Helps reduce quota usage by not burning expensive output tokens on unnecessary edits. 3. Keep AGENTS.md short and precise. Give Codex the repo map, commands, conventions, and hard rules. If it gets long, keep the main file minimal and link to task-specific docs. 4. Clean up dead code and old projects. Deprecated folders, abandoned prototypes, and unused projects create false trails. Codex may inspect them unless your repo clearly says they are irrelevant. 5. Ignore the right things. Use .gitignore/ignore rules for bin, obj, node_modules, generated clients, coverage output, logs, minified bundles, etc. 6. Disable unused MCPs. Every extra tool can add context and decision overhead. Keep only the tools that actively help your workflow. 7. Reduce noisy build/test output. Fix real warnings. Suppress or isolate known irrelevant noise so Codex does not chase unrelated issues. 8. Use the smallest model/reasoning that fits. Low/medium for routine edits. High/xhigh for hard debugging, refactors, architecture, or messy unknowns. 9. Be careful with saved context If Codex memories or long-running thread context are adding stale/cross-project noise, start a fresh task or turn them off. Put durable repo rules in AGENTS.md instead. 10. Prefer clean signal over less context. The goal is not starving Codex to save tokens. The goal is giving it the fewest high-quality clues needed to do the job right. What would you add? Reply with anything I missed.

Codex usage limits are back to 5x/20x vs Plus. Here are some tips to stretch your quota: -Always use plan mode before allowing Codex to do work -Disable Codex memories in Personalization settings -Turn off noisy build warnings -Keep AGENTS.md small -Disable unused MCPs -Use smallest model/low reasoning for routine edits

Can AI think for itself? (1/3) This is a hot topic, and the question comes down to one's preexisting worldview. What is consciousness? If everything is just molecules in motion, then what collection of molecules makes up consciousness? Consciousness doesn't seem to make sense outside of a religious worldview. If consciousness isn't a feat of human engineering but is innate and unique to humans, then we needn't worry about AI ever having it. A quick thought experiment. Tesla's Full Self-Driving is now so smooth, you'd swear a skilled human is driving. If an FSD car, running fully autonomously, struck and killed a pedestrian, would we put the car on trial for manslaughter? Of course not. Same logic for AI chat models: OpenAI's models are so convincing, you'd think a real person wrote the response. Suppose someone prompted one, and it output detailed instructions for murder, then another person followed them and killed someone. Would we put the AI model on trial for murder? Send it to prison? No. Essentially no one (whatever they say about "emergent consciousness") actually believes we should. How about AI robots? Imagine a household robot instructed to protect the home. A delivery person enters using a code from the owner, but the robot misjudges and kills them. Who is responsible? The robot? Or the human and/or manufacturer? We all intuitively grasp that the AI is a tool: extraordinarily sophisticated code and data, built and directed by humans. But it has no independent moral agency. From a Christian worldview, this is clear: machines have no soul, no God-given conscience. Only humans bear God's moral image. That's why, no matter how human-like AI outputs become, we hold the creators, deployers, and users accountable. Not the AI itself. AI simply isn't the kind of thing that can be morally blamed or punished in the way humans are. Lacking a soul, it remains a powerful tool that we, as moral agents, must choose to wield responsibly, for genuine good and the betterment of society.

(2/3) This topic is only going to get more complex, not less, as humans continue to expand the capabilities of AI. What happens when autonomous, recursive AI like OpenClaw goes mainstream, and suddenly, there are thousands of autonomous agents with complex tools that can suddenly do a lot of undirected work on behalf of its human? Who is responsible for what the agents do? We still innately know the AI cannot be charged with a crime, but if humans give it tools that it then uses for harm, what do we do? I can't help but think this would be like giving a trained animal a toolbox, with some tools being potentially lethal, and just hoping a non-moral agent doesn't do anything evil. Should we allow that?