TLDR: Use AI to become smarter instead of just more productive Using LLMs for Agentic workflows and work delegation in general seems to be dominating online mind-share currently. However, I find that the most useful feature of using AI professionally and personally is not as a tool I outsource work or research to, but as a teacher in the Socratic mode. Don’t use AI to remove the need for you to think; use it instead as a partner to sharpen your ability to think. The better use for AI is to use it to learn and improve yourself rather than to diminish your mental capacity through over-delegation.

What two years of telemetry data from 22,000 developers reveals about AI's real impact on developer productivity, code quality, and business risk in 2026.

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15 GGUFs, 150M+ tokens

A blog about making culture. Since 1999.

Journey from the West

Agent Plugins 1.0.0 is an open, vendor-neutral specification for packaging Agent Skills and MCP servers into distributable plugins that compatible AI agent clients can discover and load.

I recorded the requests Codex generated for a 16-character prompt and measured what changed as it loaded instructions, exposed tools, read files, ran commands, received images, and compacted its history

In my post about JSON and JSONB I told you to create a GIN index with jsonb_path_ops and moved on, because that post was about a column…

Capability-based agent runtime with fine-grained policies . Brokering access directly within the agent's operating context.

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Chinese lab Z.AI has completed a 1GW data centre running only Chinese-made chips to train its GLM models, with no Nvidia inside. What it signals for AI.

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