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The AI Frontier

Lessons from building an AI product at RunLLM and the latest AI research at Cal.

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Model inference, model products, and AI applications

Why model choice is more optimizable than ever

The SaaS Extinction Test

Why your vibe-coded weekend project won't kill Salesforce

Can you know if coding agents are worth the cost?

How to think about managing the economics of software production

Data is your only moat

How different adoption models drive better applications

Open models don't need to be OpenAI

Why smart enough, fast enough, and cheap enough is good enough

AI changed distribution. Can you keep up?

Why every company needs to show value now — or lose

Budgeting for AI isn't hard

The cloud already taught us how — you just need visibility

AI is not a line item

One number for all your AI spend is a recipe for disaster

If you don’t know what good is, AI won’t tell you

Why good agents require good leadership

Enterprise AI's teenage years

How a phase of rapid change is throwing a wrench in AI adoption