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How Much AI Autonomy Can Your Team Actually Supervise? · Hanh D. Brown

How Much AI Autonomy Can Your Team Actually Supervise?. Every AI tool has a dial on it. Most of the argument about agents is really an argument about where that dial should sit, and almost nobody says so out loud. autonomy human-in-the-loop ai-products agent-ready-docs verification Every Artificial Intelligence (AI) tool you use has a dial …

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Who Holds the Quality Bar When Agents Write the Code · Hanh D. Brown

Agentic Engineering: Who Holds the Quality Bar When Agents Write the Code. The machine stopped needing me to fix it, and that was the unsettling part. Vibe coding raises the floor. Agentic engineering holds the bar. The spec, the taste, and the understanding still belong to you. ai-2026 agentic-engineering vibe-coding jagged-intelligence ai-agents There was a …

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How to Decode the Temperature Parameter in LLMs

ContentsThe Physics: Energy, Probability, and TemperatureThe LLM Equivalency: Vocabulary as StatesSoftmax is Boltzmann in DisguiseHow Temperature Controls the “Heat” of TextA Small but Important Detail: T = 0 Isn’t Really ZeroWatching It Happen: Real Logits from GPT-2Closing the loop The Physics: Energy, Probability, and Temperature that can exist in several different states. Each state has …

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AI Sample Efficiency Is Why Humans Still Learn Faster · Hanh D. Brown

AI Sample Efficiency Is Why Humans Still Learn Faster. We treat these models as glittering minds. The real engine is invisible: a massive black hole of data at the center, a millionfold more than a person ever sees. ai-2026 sample-efficiency ai-training-data scaling-laws ai-jobs You have probably pictured these models as glittering minds. Quick, fluent, a …

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5 Must-Read Resources for Mastering Small Language Models

  Contents# Introduction# The Architecture and Codebase# The Strategy and Agentic Workflows# The Ecosystem Overview# Where to Go From Here # Introduction  The narrative around generative AI is shifting in 2026. While massive frontier models keep grabbing headlines, the reality of enterprise AI deployment looks very different. Cost constraints, latency limits, and strict data privacy requirements have pushed engineering teams away …

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The Smooth Exponential Explains the Whole AI Moment · Hanh D. Brown

The Smooth Exponential Explains the Whole AI Moment. For years it looks like nothing. Then the curve turns and the whole world feels late. The smooth exponential is the lens that holds the calm and the urgency at once. ai-2026 smooth-exponential ai-job-loss ai-moats ai-risk For a long time the change looks like nothing to you. …

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Backpropagation Explained for Beginners (Part 2): There Has to Be a Better Way

Welcome back! our journey of understanding backpropagation in detail. Let’s briefly recall what we covered in Part 1 so far. ContentsA Quick RecapDo We Really Have to Repeat This?The Chain Rule to the RescueFollowing the Dependency PathPartial Derivatives vs. the Chain RuleApplying the Chain Rule to Our Neural NetworkStep 1: ∂L/∂y^partial L/partialhat{y}Step 2: ∂y^/∂a1partialhat{y}/partial a_1Step …

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Vibe Coding and Agentic Engineering Are Not the Same Job · Hanh D. Brown

Vibe Coding and Agentic Engineering Are Not the Same Job. For a year the code came back broken. Then it came back clean. The floor opened for everyone, and a quieter job appeared: keeping the bar while the machine moves fast. ai-2026 vibe-coding agentic-engineering jagged-intelligence verifiability Something changed in how software gets built. For years …

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7 Steps to Building and Deploying Your First Autonomous Agent

  Contents# Introduction# Step 1: Deciding What Your Agent Actually Needs to Do (and What It Shouldn’t)# Step 2: Picking Your Model and Framework# Step 3: Setting Up the Project# Step 4: Building the Core Agent Loop# Step 5: Giving It Memory and a Second Tool# Step 6: Adding Guardrails Before You Trust It# Step 7: Deploying It Somewhere Real# Wrapping Up # Introduction  Most …

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