Therefore I am. I Think
Therefore I am. I Think explores This research provides evidence that LLM reasoning models encode decisions early, shaping chain-of-thought and allowing for manipulation of tool-calling behavior before deliberation.. Commercial viability score: 7/10 in LLM Reasoning.
Updated 23 hours ago
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisDecoding Answers Before Chain-of-Thought: Evidence from Pre-CoT Probes and Activation SteeringViability: 2.0
- Builds On ThisReasoning Theater: Disentangling Model Beliefs from Chain-of-ThoughtViability: 3.0
- Builds On ThisNudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language ModelsViability: 6.0
- Builds On ThisEmergent Search and Backtracking in Latent Reasoning ModelsViability: 5.0
- Builds On ThisNot Just the Destination, But the Journey: Reasoning Traces Causally Shape Generalization Behaviors
Related Resources
- What are the emerging techniques for improving LLM reasoning beyond simple pattern matching?(question)
- How do LLM reasoning traces contribute to more transparent and auditable AI systems?(question)
- How can understanding LLM reasoning traces lead to more trustworthy AI assistants in customer service?(question)