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The Three Questions Every Startup Should Ask Before Building AI
• Not all hard problems need ML—validate that adaptive learning actually solves your business problem before building. • Start wi...
Beyond the Bots: What Real Writing Looks Like in the Age of AI
In an era where AI can generate content instantly, the real challenge is writing in a way that is uniquely yours—creating work no...
Context Rot Is Breaking Long AI Sessions
Bigger context windows help, but not enough. Learn how Recursive Language Models improve long-context reasoning with better scalin...
How to Bootstrap Agent Evals with Synthetic Queries
Checking agent outputs isn't enough. The real failures hide in trajectories: which tools got called, in what order, with what inpu...
Less Data, Same LLM Performance? UGA Says Yes
A recent paper from UGA shows you can match SOTA LLM performance with 2000 targeted samples instead of 300,000.
What the BBC Hot Dog Hoax Really Proved About AI
A BBC journalist tricked ChatGPT and Google with a fake blog post in 20 minutes.
The Illich Test for AI: Does Your Tool Make You Less Capable Without It?
Ivan Illich wrote Tools for Conviviality in 1973. It's the best framework for AI dependency nobody's using.
Claude Can Code. Can It Detect Backdoors in Binaries?
BinaryAudit benchmarks AI agents using Ghidra to find backdoors in compiled binaries of real open-source servers, proxies, and net...
The Three Stages of AI Guardrails: From Filters to Enterprise Control Planes
Explore the 3 stages of AI guardrails—from LLM filters to agent authorization and multi-agent control planes for enterprise AI gov...
GPT-5.3 Codex Reviewed My .NET Data Access Library and Missed the Architecture
I asked GPT-5.3 Codex to review a reusable .NET data access library. It scored 46/100—and exposed the limits of AI architectural r...
Do AI Agents Dream of Electric Langoustines?
This follow-up explains what changed around x402 and ERC 8004, why discovery and reliability matter more than raw registration cou...
