Explore how neurological experiments show the subconscious can guide us toward better decisions before we can rationally explain them. These findings suggest that physiological responses often precede and inform our conscious understanding during complex tasks.
I discovered new CLI tools like fselect and xxh, explored modern HTML attributes for mobile UX, and reviewed books on neuroscience and oncology. I also learned about Anthropic's custom skills and European day-fine systems.
I map how AI bottlenecks shift across coding, agents, and enterprise data. By examining transitions from tool-calling to reliability and context windows to evaluation, I highlight why yesterday’s impossible tasks are today’s standard features.
Look at what neuroimaging and fMRI can do to map human thought processes and emotional responses. These 2004-era brain scans provide a window into how specific brain regions correlate with behavior and neurological health.
I explored multi-agent architectures, refined my AI coding workflows using MCP and Cursor, and experimented with GPT 4.1 prompting. I also learned handy uv and jq tricks while investigating application-specific LLM evaluations.
I rejected the standard weighted-average approach for CRM selection in favor of binary filtering. Using strict yes/no criteria for essential features prevents the manipulation inherent in subjective scoring and provides a clear, defensible rationale for every rejection.