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The Tool Is Not the Craft
Operationalize AI: master craft, enforce safety, and integrate systems to turn tools into dependable, controlled results.
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When an AI Can Act but Cannot Judge
The paper “Do Large Language Models Know What They Are Capable Of?” asks a deceptively human question: can a model predict, in advance, whether it will succeed, and can it revise that self-assessment as work unfolds? The authors test “in-advance confidence” across three settings: single-step coding problems, a scenario where taking the wrong job is…
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Recursive Language Models: when “more context” stops meaning “more tokens”
Recursive Language Models fix context rot by treating long prompts as external state—let models orchestrate, not ingest all context.
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MCP meets no‑code: KNIME vs Make vs n8n vs Zapier
MCP reshapes automation: compare KNIME, Make, n8n, Zapier—expose governed workflows as tools, focus on data quality & operational control.
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AI in 2025: Breakthroughs, Backlash, and the Big “Meh”
AI’s big year: breakthroughs, backlash, and steady integration – hype deflates as Microsoft, Google embed AI into everyday products.
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