Scaling Up: February 2027
New lab 10x bigger. Team from MIT, Stanford, DeepMind. Compute cluster costs more than a house. No longer prototypes—production scale. When did language models start reasoning?
Scaling Up
January 24, 2027
New lab space is 10x the size. New team members from MIT, Stanford, DeepMind. New compute cluster that costs more than my childhood home.
Whatever we're building in 2027, it's not a prototype anymore.
It's production-scale.
February 19, 2027
Lunch debate: "At what parameter count does a language model develop something that looks like reasoning?"
The person next to me whispered: "We passed that point 3 months ago."
I really hope they were joking.
March 8, 2027
Quantum team just achieved [REDACTED] qubit count with [REDACTED] error rate.
For context: That's the threshold where certain algorithms become practical.
Certain algorithms that break certain things.
They're very excited. I'm very nervous.
Production scale meant what we built would actually deploy.
To real users. In the real world.
No more "just research."
— Recovered from personal archive, 2030
Related Chronicles:
Related Research
The Race Begins: February 2028
New directive from leadership: Move fast. If we don't build it, someone else will—with fewer safety considerations. We're in a race now. Valentine's Day working late on recursive AI architecture.
Year Three Complete: December 2028
2028: Year we crossed multiple thresholds I'm not supposed to discuss. Some amazing. Some terrifying. Most are both. 2029: We're going into production. The world changes soon.
When AI Wrote Alien Code: May 2028
Major milestone: System achieved human expert level across every domain. We're not calling it AGI yet, but the line is getting blurry. Gene editing at 99.97% accuracy. What can't we edit now?