Technological progress often appears steady until it reaches human equivalence, at which point the rate of change can seem abrupt. This offers a compelling perspective on the current trajectory of artificial intelligence.

Despite some "glass slipper" effects I feel that LLM providers are becoming commodities. The real value is occurring at the product layer. Locking into a single provider is a strategic error; organizations must prioritize flexibility and demand transparency on model updates.

Agentic inference is taking over. The median request is now part of a structured loop, with tool invocation hitting ~15%. Programming tasks specifically jumped from 11% to ~50% of traffic. Notably, Anthropic dominates coding spend despite OpenAI’s broader awareness.

Average prompt length grew 4x (to ~6,000 tokens) while completion length only tripled. We are feeding massive context for analysis rather than just asking for open-ended generation. This largely mirrors my use as well.

Open source is sustainable, consistently holding 20-30% of total usage. It is also diversifying: the market is no longer dominated solely by DeepSeek. Qwen, Minimax, and MoonshotAI all saw significant adoption shifts in mid-2025.

The more I use Gemini 3.0, the more impressed I am.

"explain the probability of getting an 8 with 2 dice"

gemini.google.com/share/f00d99...

Excellent piece by Erik Hoel, while there is evidence that there may be cognitive atrophy from too much AI usage, it could be cognitively healthy when it allows people to mentally "chunk" tasks at higher levels of abstraction.

www.theintrinsicperspective.com/p/brain-drain