Hinde's AI · A case for local intelligence
Hinde's AI is an organization for the local intelligence age — the belief that the models you run should answer to you, that your data should stay home, and that the cloud becomes a choice, not a condition.
The shift
It happened once before. The computer was a building — a mainframe housed in a windowless datacenter, reachable by the few, owned by whoever could afford the room it needed.
Then it learned to travel. It shrank onto a desk, into a bag, into a pocket. The personal computer didn't defeat the datacenter — it made the datacenter optional for most of what people do.
The same pattern is arriving in intelligence. Today's most capable models live in vast, distant datacenters. But the trajectory is clear: extremely capable large language models, brought home — running on your own machines, answering to you alone. Cloud AI becomes optional, even if you use AI every single day.
Intelligence as infrastructure — remote, metered, dependent.
Intelligence on your desk — the first great migration home.
Intelligence in your machine — private, sovereign, yours.
Why local
When the model runs on your own machine, your prompts, documents, and conversations never cross a network boundary. Privacy is no longer a policy you hope is honored — it is a physical fact about where your data lives.
You choose which weights to run, which version to pin, and when to replace it. The intelligence that serves you answers to you — not to a provider's terms, roadmap, or rate limit.
Modern local models are extraordinarily capable and genuinely competitive with the cloud. For daily writing, coding, research, and agents, the datacenter becomes optional — not a necessity.
You pay for the machine once, not per token, forever. No metered usage, no surprise invoices, no pricing that quietly shifts under you.
Inference on your own hardware means no round-trip to a distant cluster. Interactive work feels immediate, and long sessions stay fluid.
Pair a fast model for chat, a stronger one for agents, a small one for embeddings — and swap any piece when something better comes home. Your stack evolves on your terms.
The belief
"The cloud should be a choice you make —
not a condition you accept."
Every year, models grow more capable and smaller. The distance between your data and your intelligence keeps shrinking — until it is zero.
Start here
One tells you what the models can actually do. The other is where the models live.
Independent, evidence-first benchmarks of AI models — quality, speed, context, and cost laid out on one clear set of leaderboards. It is how you learn what today's models can really do, and how to find the strongest model your own hardware can carry.
Explore the benchmarks →The home of open model weights. Browse, compare, and download the models you can run locally — including GGUF quants tuned for consumer hardware — and bring the right one home.
Browse the models →The models are ready. The hardware is within reach. The only question left is where your intelligence lives — in someone else's building, or in your own.
Join the movement