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Technical insights, practical cases, and trends in Artificial Intelligence
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Plenty of people are promising artificial intelligence and talking about it. Who is actually studying and building it is a different account, and it does not balance in the feed. The difference is not the tool: it is who answers for the whole distribution, not just the sample that fit in the demo.
Artificial Intelligence Has Many Spokespeople and Few Authors
Plenty of people are promising artificial intelligence and talking about it. Who is actually studying and building it is a different account, and it does not balance in the feed. The difference is not the tool: it is who answers for the whole distribution, not just the sample that fit in the demo.
The 1948 contribution was not defining information: it was giving it a unit, and thereby ending seventy years of qualitative argument. What the AI field quotes is the formula. What it needed to inherit is the move.
Shannon Didn't Discover Information. He Measured It.
The 1948 contribution was not defining information: it was giving it a unit, and thereby ending seventy years of qualitative argument. What the AI field quotes is the formula. What it needed to inherit is the move.
Prompt, context, RAG, evals, red teaming: the engineering disciplines born with AI are all the same reverse engineering, under new names and without the original's discipline.
AI Doesn't Come With a User Manual
Prompt, context, RAG, evals, red teaming: the engineering disciplines born with AI are all the same reverse engineering, under new names and without the original's discipline.
Every system begins by taking apart a world nobody documented. What gets lost in that teardown doesn't just vanish from the software: it vanishes from life.
The World Doesn't Ship With Source Code
Every system begins by taking apart a world nobody documented. What gets lost in that teardown doesn't just vanish from the software: it vanishes from life.
I keep coming back to the GPT-3 paper. What stays with me isn't the 175-billion-parameter scale, but in-context learning — the idea that AI capability is something you compose, with context and care, rather than something you own. That's where the engineering we do in Brazil lives.
In-Context Learning: The Front Door for Brazilian AI Engineering
I keep coming back to the GPT-3 paper. What stays with me isn't the 175-billion-parameter scale, but in-context learning — the idea that AI capability is something you compose, with context and care, rather than something you own. That's where the engineering we do in Brazil lives.
Companies hire technical leadership for mastery of Scrum and the old agile guard, a paradigm that AI-native engineering is making obsolete. The analogy is cruel: it's like naming the paper-check banker to lead in the age of instant payments.
The Weight of Experience: When Yesterday's Senior Becomes Tomorrow's Bottleneck
Companies hire technical leadership for mastery of Scrum and the old agile guard, a paradigm that AI-native engineering is making obsolete. The analogy is cruel: it's like naming the paper-check banker to lead in the age of instant payments.
A database without TTL is a promise to carry everything forever. Every decision not to delete is a decision to carry the past.
The Weight of Time in Systems That Don't Forget
A database without TTL is a promise to carry everything forever. Every decision not to delete is a decision to carry the past.
Brazil's transparency portal exposes millions of federal contracts. Classical outlier detection drowns in multi-modal distributions. FFT decomposes the time series into frequencies — and serial fraud leaves periodic signatures. How Cidadão.AI uses spectral entropy to reduce an ocean to hundreds of candidates.
FFT spectral anomaly detection in Brazilian federal contracts
Brazil's transparency portal exposes millions of federal contracts. Classical outlier detection drowns in multi-modal distributions. FFT decomposes the time series into frequencies — and serial fraud leaves periodic signatures. How Cidadão.AI uses spectral entropy to reduce an ocean to hundreds of candidates.
Importing 70 routers at FastAPI startup is expensive. LazyRouter defers the import until the first hit and drops cold start to around 300ms.
Sub-Second FastAPI Cold Start: The LazyRouter Pattern
Importing 70 routers at FastAPI startup is expensive. LazyRouter defers the import until the first hit and drops cold start to around 300ms.
Internationalization isn't a translation file — it's an architectural decision. Locale-prefixed URLs, typed navigation, and conscious fallbacks.
i18n Without Pain: Lessons From Running next-intl Across 9 Products
Internationalization isn't a translation file — it's an architectural decision. Locale-prefixed URLs, typed navigation, and conscious fallbacks.
The model is an effect, not a cause. The coming decade will separate companies by their quiet, almost tedious ability to know exactly what they have, where it came from, who can touch it, and how to make it disappear if necessary.
Data as Architecture
The model is an effect, not a cause. The coming decade will separate companies by their quiet, almost tedious ability to know exactly what they have, where it came from, who can touch it, and how to make it disappear if necessary.
Anderson Henrique Da SilvaAI is redefining what we expect from enterprise software. Storing data is no longer enough — systems must act on it. Reflections on the transition from Systems of Record to Systems of Action.
From Systems of Record to Systems of Action: The New Era of Enterprise Software
AI is redefining what we expect from enterprise software. Storing data is no longer enough — systems must act on it. Reflections on the transition from Systems of Record to Systems of Action.
Anderson Henrique Da SilvaArchitecture, usability, and digital objects — three traditions asking themselves the same question.
Form Through Time
Architecture, usability, and digital objects — three traditions asking themselves the same question.
Anderson Henrique Da SilvaReflections on Black Mirror and the autophagic nature of artificial intelligence — systems that consume, recycle, and expand from themselves.
The Technophagic Ecosystem: How AI Devours Itself to Evolve
Reflections on Black Mirror and the autophagic nature of artificial intelligence — systems that consume, recycle, and expand from themselves.
Anderson Henrique Da SilvaThe journey of creating AI assistants for healthcare professionals that question, investigate, and reason clinically — not just respond.
Building Hipócrates: Lessons from a Medical AI System That Thinks Like a Doctor
The journey of creating AI assistants for healthcare professionals that question, investigate, and reason clinically — not just respond.
Anderson Henrique Da SilvaA reflection on how AI coding tools are redefining the developer's work — from manual craftsman to solution architect.
From Chisel to 3D Printer: How AI is Transforming the Craft of Programming
A reflection on how AI coding tools are redefining the developer's work — from manual craftsman to solution architect.
Anderson Henrique Da SilvaA reflection on the philosophical role of AI engineers in creating technologies that harmonize purpose with profit.
Computer Scientists are the New Alchemists: Turning Thought into Code, and Code into Meaning
A reflection on the philosophical role of AI engineers in creating technologies that harmonize purpose with profit.
Anderson Henrique Da SilvaAn analysis of the competition between DeepSeek and OpenAI O1 and what it means for the future of specialized AI.
Reflections on AI Advancements: Reasoning Models and the Pursuit of Innovation
An analysis of the competition between DeepSeek and OpenAI O1 and what it means for the future of specialized AI.
Anderson Henrique Da SilvaHow deep learning is transforming businesses with profound insights and advanced predictions, from personalization to fraud detection.
The Potential of Deep Learning in Business
How deep learning is transforming businesses with profound insights and advanced predictions, from personalization to fraud detection.
Anderson Henrique Da SilvaHow artificial intelligence and machine learning are reshaping businesses and creating innovative opportunities in a dynamic market.
AI and Machine Learning: Transforming Challenges into Opportunities
How artificial intelligence and machine learning are reshaping businesses and creating innovative opportunities in a dynamic market.
