Senior Tech Manager with 25 years in software engineering. MBA Professor at FIAP, AI founder, and solutions architect across Brazil's largest financial institutions. Biased toward pragmatism. Pays his own cloud bills.
content-strategy, ai-and-expertise, thought-leadership, audience-building, content-marketing
When AI commoditizes expertise, the content artifact is no longer the moat. Publish the method generously, demonstrate judgment through specific real cases, and build the direct audience relationships that no algorithm can replicate or replace.
knowledge-distillation, tacit-knowledge, model-evaluation, ai-expertise, publishing-expertise
Knowledge distillation reliably copies a model's outputs and benchmark scores while losing the properties that made them trustworthy: calibration, robustness, and reasoning faithfulness. The same split applies to human expertise absorbed by AI systems -- your explicit method transfers cleanly, but y
ai-web-search, search-filtering, algorithmic-transparency, digital-services-act, ai-regulation, ftc-deceptive-practices
Six policy documents from two major AI platforms contain zero disclosures about search result filtering. Legal analysis across the US, EU, and Brazil finds the practice likely violates transparency obligations in two of three jurisdictions.
ai-training-data, expertise-economics, content-strategy, ai-answer-engines, knowledge-commoditization
Publishing specific expertise online still builds authority, but the same content trains AI systems that rarely send traffic back. This post names the structural tension between visibility and commoditization for anyone building a public voice.
ai-search, search-bias, community-content, ai-filtering, reddit, developer-tools
Analysis of 55 unfiltered search results found that 22 came from human communities like Reddit, Quora, and GitHub. Proprietary AI search filters cut that number to between 2 and 4, keeping only corporate pages selling products tied to the query.
ai-vulnerability-discovery, security-triage, cve-prioritization, vulnerability-management, cybersecurity-economics
Autonomous AI systems are collapsing the cost of finding software vulnerabilities toward zero, making known-flaw supply nearly infinite. The scarce, high-leverage work has shifted from discovery to deciding which of the roughly 6% of ever-exploited CVEs actually deserve a fix.
ai-search, search-filtering, searxng, web-search, ai-tools
AI tools advertising 'web search' actually route queries through proprietary filtering APIs that silently decide what you can find. A reproducible three-query test found an unfiltered SearXNG instance returning 55 links versus 28 and 10 from two major AI search backends.
ai-sovereignty, sovereign-ai, national-ai-strategy, open-weights, ai-policy
Most announced 'sovereign' AI models are foreign open-weight models in local costume. Real AI sovereignty requires verifiable control over the stack, including auditable provenance, retraining rights, and ownership of cultural defaults.
ai-productivity, software-engineering, career-development, intent-engineering, technical-leadership, future-of-work
AI agents are commoditizing tool-specific knowledge, shifting the scarce skill from knowing a tool's syntax to knowing which problem is worth solving. Engineers who can define goals, constraints, and success criteria will capture the premium that tool expertise once held.
ai-adoption, enterprise-ai, ai-implementation, change-management, ai-strategy
Building an impressive AI demo has never been easier, but most organizations fail to turn prototypes into production systems that deliver real business value. The true barriers are data fragmentation, workflow integration, organizational change, and undefined success metrics, not model quality.
about-aipster, community
How six computer science friends from the late '90s turned a happy hour chat into a collective exploration of artificial intelligence — and why we decided to share what we learn along the way. It started, as many good things do, with a simple question: "Can everyone make it