AI PracticeContext EngineeringEnterprise AI

Your Context Window is Leaking Money: A Practical Guide to Input Token Management

Most teams waste 40-60% of their token budgets. Context rot degrades accuracy by 30%+ in the middle of long inputs. Here are the six techniques that actually fix this — with the numbers to prove it.

AI ResearchMathematicsReasoning Models

AI Solves an 80-Year-Old Math Problem — and the Proof Is 125 Pages Long

On May 20, 2026, an OpenAI reasoning model disproved Paul Erdős's unit distance conjecture using a branch of mathematics nobody had applied to this problem. Here's why it matters beyond the math.

RoboticsPhysical AINVIDIA

How Robots Learn to Work Before They Exist: The Sim-to-Real Revolution

Boston Dynamics trained Atlas to lift 100 pounds without ever picking up a real box. The training happened entirely in simulation. This is how physical AI is being built now — and why NVIDIA is at the center of it.

Agentic AIToolingOpen Source

Hermes is Quietly Becoming the Agent to Watch

From 557 likes on a launch tweet to 140,000 GitHub stars and #1 on OpenRouter in three months — without a launch event, a waitlist, or paid marketing. Here's what makes Hermes different.

AI PracticeDeveloper ToolsStandards

HTML vs Markdown: The Debate is Settled

One post from an Anthropic engineer broke the formatting consensus. Both sides turned out to be right — and content negotiation via HTTP Accept headers is how you serve both.

AI PracticeContext EngineeringEnterprise AI

Prompt Engineering is Dead. Long Live Context Engineering.

Andrej Karpathy called it 'the delicate art of filling the context window.' The industry data backs it up: prompt engineering alone is no longer sufficient, and 95% of data teams are investing in what comes next.