Salesforce and others are going headless. AI is making the user interface plastic — malleable to whatever the user needs, when they need it. The head isn't disappearing, it's becoming formless.
Three years of LLM pricing data: flagship prices dropped, then flipped upward, while budget models bounced back. Tokenizer efficiency softened the headline, but real costs are rising.
Why AI editorial councils fail & what makes writing authentic in an age of machine-generated prose.
The fastest growing companies in AI & software all share one property. They are either selling AI directly, or they are reselling inference. At worst, the first derivative of inference.
State-of-the-art AI email costs $22-130/month, but smaller models & local inference can cut costs by 100x. The next 12-24 months will be defined by matching models to workloads.
Email volumes will explode. The inbox will disappear. Email will persist as an API.
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About half of agent tasks can run on a local 35B model. The real advantage isn't cost or privacy — it's latency. 2.1x faster means more iteration cycles per session.
Anthropic trades at 17x EV/NTM on 165% growth, a 65% discount to Palantir. Capital intensity, profitability uncertainty & growth volatility explain the gap.
As engineering teams shrink and AI agents multiply, key-person risk becomes existential. The ratio you choose determines your team's shape and its fragility.
