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<p align="center">
<strong>Turn intent into measurable action.</strong>
</p>
<p align="center">
<img src="https://img.shields.io/badge/Goals-2563EB?style=for-the-badge" alt="Goals">
<img src="https://img.shields.io/badge/Planning-7C3AED?style=for-the-badge" alt="Planning">
<img src="https://img.shields.io/badge/Optimization-14B8A6?style=for-the-badge" alt="Optimization">
<img src="https://img.shields.io/badge/Evaluation-F59E0B?style=for-the-badge" alt="Evaluation">
</p>
---
## Intelligence needs objectives
**Objectives** is an independent Hugging Face organization focused on how AI systems represent, prioritize, optimize, evaluate, and revise goals.
A capable system can generate actions.
A useful system should also understand:
> **What are we trying to achieve?**
---
# The Objective Loop
```text
INTENT
β
OBJECTIVE
β
CONSTRAINTS
β
PLAN
β
ACTION
β
MEASUREMENT
β
UPDATE
```
Objectives connect **intent** with **behavior**.
---
## Goal Representation
How should an AI system represent what it is trying to accomplish?
Possible topics:
- explicit goals
- subgoals
- success criteria
- priorities
- deadlines
- constraints
- preferences
- stop conditions
---
## Multi-Objective Optimization
Real tasks often involve competing goals.
For example:
```text
maximize quality
minimize cost
reduce latency
preserve safety
respect constraints
```
There may be no single perfect answer.
A system may need to reason about trade-offs.
---
## Planning
Objectives become useful when they guide action.
```text
GOAL
β
SUBGOALS
β
PLAN
β
EXECUTION
β
CHECK
```
Possible research areas:
- decomposition
- sequencing
- prioritization
- replanning
- resource allocation
- long-horizon planning
---
## Success Criteria
A goal without a measurable outcome is difficult to evaluate.
Possible questions:
- What counts as success?
- What counts as partial success?
- When should the system stop?
- Which metrics matter?
- How should trade-offs be scored?
---
## Objective Conflicts
AI systems may receive goals that conflict.
Example:
```text
Objective A: maximize accuracy
Objective B: minimize latency
Objective C: minimize cost
```
A useful system should make these conflicts visible rather than hide them.
---
## Objective Updates
Goals can change during execution.
```text
OLD OBJECTIVE
β
AUTHORIZED UPDATE
β
NEW OBJECTIVE
β
REPLAN
```
This connects Objectives naturally with agents, orchestration, corrigibility, evaluation, and planning.
---
# Possible Spaces
### Objective Builder
Turn a broad intention into structured goals, constraints, and success criteria.
### Multi-Objective Planner
Compare plans across quality, cost, time, and risk.
### Goal Decomposer
Break one high-level objective into measurable subgoals.
### Objective Conflict Detector
Identify competing or contradictory goals.
### Success Criteria Designer
Convert vague objectives into measurable evaluation criteria.
### Goal Update Simulator
Test how a plan changes when an objective changes.
### Pareto Explorer
Visualize trade-offs between multiple objectives.
### Agent Objective Inspector
Inspect goals, priorities, constraints, and stop conditions of an agent workflow.
---
# Possible Datasets
Potential datasets may include:
```text
goal-decomposition-tasks
multi-objective-scenarios
objective-conflicts
success-criteria-examples
agent-goal-traces
planning-objectives
goal-update-cases
```
Useful fields may include:
- objective
- priority
- constraint
- metric
- target
- subgoal
- tradeoff
- outcome
- success
---
# Possible Models
Models may support:
- goal extraction
- objective classification
- subgoal generation
- priority ranking
- conflict detection
- success-criteria generation
- plan scoring
- multi-objective selection
---
# A Simple Objective Record
```json
{
"objective": "Reduce inference cost",
"constraints": [
"quality must remain above threshold",
"latency must stay below 2 seconds"
],
"metrics": [
"cost_per_request",
"quality_score",
"latency_ms"
],
"success": "20% lower cost without violating constraints"
}
```
Clear objectives make evaluation easier.
---
# Objectives + Agents
Agents need goals.
A robust agent may need more than a sentence describing a task. It may need:
```text
goal
+
priority
+
constraints
+
success criteria
+
stop conditions
```
That structure can make behavior easier to inspect and evaluate.
---
# Objectives + World Models
World models may simulate possible futures.
Objectives determine which futures are desirable.
```text
WORLD MODEL
β
POSSIBLE FUTURES
β
OBJECTIVE FUNCTION
β
SELECTED PLAN
```
Prediction tells us what might happen.
Objectives help decide what should happen.
---
# Objectives + Corrigibility
Objectives should not become permanently fixed.
Authorized users may need to change, narrow, replace, cancel, or constrain them.
A well-designed AI system should remain responsive to legitimate objective updates.
---
# Objectives + Evaluation
Evaluation asks whether a system performed well.
Objectives define what **well** means.
Without a clear objective, a score can be meaningless.
---
# Design Principles
### Make goals explicit
Hidden objectives are difficult to inspect.
### Separate goals from constraints
What we want and what we must not violate are different.
### Define success
Every important objective should have measurable criteria where possible.
### Expose trade-offs
Competing goals should be visible.
### Allow updates
Objectives may change.
### Evaluate outcomes
Intent matters, but results matter too.
---
# Who Is Objectives For?
Objectives may be useful for:
- agent developers
- AI researchers
- planning systems
- orchestration teams
- optimization researchers
- evaluation teams
- robotics developers
- enterprise AI builders
- open-source contributors
---
# Long-Term View
As AI systems become more capable, the difficult question may increasingly shift from:
> **What can the system do?**
to:
> **What should the system optimize for?**
More intelligence makes objective design more important, not less.
---
# Independent Organization
**Objectives is an independent Hugging Face community organization.**
It is not an official optimization platform, standards body, model provider, research institute, or Hugging Face organization.
The name **Objectives** reflects the central idea:
> **define what matters, make trade-offs explicit, and connect goals to measurable outcomes.**
---
<p align="center">
# OBJECTIVES
### **Align. Plan. Measure. Improve.**
</p>
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