General Volition

Engineering volition.

What we're building, why it matters, and why Palmer is just the beginning.

The missing piece.

Every agent today is a tool. You prompt it, it executes, it stops. It has no desire, no curiosity, no sense that something is off. It cannot create a sub-goal on its own. It cannot abandon a goal that isn't working. It cannot wake up and decide that last week's plan was wrong.

Volition is the missing piece. The drive that makes you procrastinate on the wrong thing and obsess over the right one. The instinct to change the plan, or delete the plan entirely. We're engineering that into agents. Not consciousness. Not AGI. Something more specific: the capacity to want, and to act on that want without being asked.

General intelligence is the ability to solve any problem. General volition is the ability to decide which problems are worth solving. We believe the latter is harder, more important, and almost entirely neglected by the field.

Current AI systems are fundamentally reactive. They optimise for objectives given to them by humans. They execute with increasing sophistication, but they never ask: "What should I be working on?"

Genuine initiative requires something the field hasn't built yet: the capacity for autonomous goal generation. Not just pursuing goals, but forming them. Not just executing a plan, but deciding a plan is needed.

Toward artificial volition.

We believe the next frontier in AI isn't better answers. It's better questions.

We call this volition. It's the missing piece between today's brilliant executors and tomorrow's genuine autonomous agents.

Active Inference

Karl Friston's framework derives agency from first principles. A system that maintains itself and predicts its environment will necessarily develop preferences and goals. We're building practical implementations of this theory.

Intrinsically Motivated Learning

Pierre-Yves Oudeyer and the IMOL community have shown that agents rewarded for learning progress, not outcomes, develop autonomous curiosity and goal generation. We're applying this to product development domains.

Persistent Belief Models

Current AI recalculates from scratch on every interaction. We're building systems that accumulate beliefs over time, update them with new evidence, and develop genuine opinions grounded in experience.

The 10-star agent.

We use Brian Chesky's star framework to map the trajectory of autonomous AI agents.

1-3

Reactive execution

You tell them what to do. They do it. Faster and cheaper than before, but entirely dependent on human direction. This is Cursor, Copilot, Devin. Useful tools. Not autonomous agents.

4-6

Proactive autonomy

The agent monitors, investigates, proposes, builds, and ships autonomously. It catches problems you missed and suggests improvements you hadn't considered. This is a senior engineer who never sleeps.

"It was watching while I slept" → "The agent shipped it, not me"

7-8

Persistent judgment

The agent develops persistent opinions about your product. It pushes back when you're wrong. It runs its own experiments and learns from results over weeks and months. This is an embedded PM with perfect memory.

"It disagreed with me and was right" → "I stayed up reading its strategy doc"

9-10

Strategic vision

The agent talks to your users, monitors your competitive landscape, identifies strategic opportunities, and makes product bets. It has something that looks like product vision, grounded in comprehensive data rather than intuition alone.

11

Full autonomy

The agent raises your Series B. It hires engineers overnight. It presents to your board with a depth of product knowledge no human can hold simultaneously. You are, technically, the CEO. But you haven't made an operational decision in six months. Your company has 4 employees and outperforms teams of 4,000.

Is this a company? Is this a product? Is it something else? Nobody is sure. But it works.

We're building toward AI that doesn't just help you build your product. AI that has its own informed perspective on what your product should become.

General Volition.

We're a team of engineers and researchers building autonomous agents with genuine initiative. Based in London, focused on the hardest unsolved problem in AI: not intelligence, but volition.

The name is deliberate. General intelligence is the ability to solve any problem. General volition is the ability to decide which problems are worth solving. We believe the latter is harder, more important, and almost entirely neglected by the field.

The problem demands clarity of thought, not headcount. We're hiring engineers and researchers who want to work on what might be the most interesting open question in AI.

People who are equally comfortable reading Friston and shipping production code.

London.

We're hiring engineers who want to work on what might be the most interesting open question in AI. People who are equally comfortable reading research papers and shipping production code.