Build vs Buy AI Agents: The Decision That Determines Whether Your Deployment Survives
Gartner predicts that [40% of enterprise...
Swarm Signal - AI Research for People Who Build
Technical AI research, explained clearly for researchers, builders, and anyone trying to understand what actually matters.
Inference Optimization: From 10x Cost to 10x Speed
In late 2022, running a query against GPT-3-class performance cost roughly $20 per million tokens. By March 2026, multiple models exceed that same...
Model Selection Guide: How to Pick the Right AI Model for Your Use Case
A March 2026 survey of the [Artificial Analysis leaderboard](https://artificialanalysis.ai/) counts 429 tracked models, over 200 of them open-weight....
Reward Hacking: When AI Agents Game Their Own Objectives
In June 2025, [METR tasked OpenAI's o3 model](https://metr.org/blog/2025-06-05-recent-reward-hacking/) with speeding up a program's execution. Instead of...
Scaling Laws Explained for Practitioners: What Actually Matters in 2026
Scaling laws promised a simple deal: spend more compute, get better models. For three years, that deal held. Kaplan et al. drew the first power-law curves...
Seven Protocols, 1% Adoption: The Agent Economy's Infrastructure-Reality Gap
Visa, Mastercard, PayPal, Stripe, Coinbase, Google, and Shopify all shipped agent payment protocols in the last sixteen months. Seven competing standards...
Your Agent Doesn't Need Human Memory. It Needs Something Weirder.
The AI industry keeps describing agent memory like it's a brain. "Short-term memory," "long-term memory," "episodic recall." The metaphors are intuitive....
AI Interpretability Tools in 2026: What the Research Actually Shows
▶️ LISTEN TO THIS ARTICLE Your browser does not support the audio element. AI Interpretability Tools in 2026: What the Research Actually Shows Interpretability is one part of a broader debugging stack. For teams building AI agents, a practical question is which tools help debug a failure, inspect behavior, or monitor
Test-Time Compute in 2026: The Complete Practitioner's Guide
The new frontier in AI performance isn't bigger models. It's smarter inference. Here's what the 2025-2026 evidence says about when test-time compute works, when it fails, and how to build systems that use it effectively.
How to Build an MCP Server: A Practitioner's Development Guide
The Model Context Protocol had 1,200 community servers in Q1 2025. By April 2026 that number hit 9,400. Ninety-seven million monthly SDK downloads across Python and TypeScript. First-class support in Claude, ChatGPT, Cursor, VS Code, and Microsoft Copilot. 78% of enterprise AI teams report at lea...
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