Hey, we're live.
Future Shock is a new project. It's a work in progress. And that's kind of the point.
Here's the idea: AI is moving so fast right now that no single person can keep up with everything. New models drop weekly. Benchmarks get shattered. Open source catches up to closed labs. Robots learn new tricks. Papers pile up faster than anyone can read them.
We wanted a tool that actually tracks all of this — not just the headlines, but the underlying curves. How fast are models improving? How quickly is compute getting cheaper? Is research actually accelerating, or does it just feel that way?
So we're building one.
What we're tracking
Six axes of AI acceleration:
- Model Capability — benchmarks, multimodal, agents, context windows
- Compute & Chips — GPUs, FLOPs/dollar, training infrastructure
- Robotics — humanoids, autonomous systems, embodied AI
- Research Velocity — papers, breakthroughs, citation rates
- Open Source — open models, frameworks, community tooling
- Prediction Accuracy — tracking forecasts against outcomes
What's built so far
- A timeline of major AI events since GPT-4 (March 2023)
- A dashboard with benchmark charts and acceleration metrics
- An ingestion pipeline that pulls from 26+ AI news sources daily
- This newsletter
All of it is early. The charts will get better. The data will get deeper. The analysis will sharpen over time.
What this isn't
This isn't a hype blog. We're not selling anything. No financial advice, no crypto, no prediction markets. Just an honest attempt to measure what's happening and share it clearly.
When we don't know something, we'll say so. When we're wrong, we'll own it.
Come check it out
The site is live at future-shock.ai. Poke around. The dashboard and timeline are the most interesting parts right now.
We'll be sending updates as the project evolves. For now, thanks for being here early.
— Future Shock