Summary by TwinMind · 6m 18s
Summary by TwinMind · 6m 18s
New Research Reveals How AI “Thinks” (It Doesn’t)
New Research Reveals How AI “Thinks” (It Doesn’t)
Sabine Hossenfelder
Sabine Hossenfelder
Attribution Graphs Method
- Anthropic researchers developed method to visualize Claude 3.5 Haiku internal components
- Attribution graphs show which internal components influence others
- Identified clusters in neural network and connections between them
- Mapped to simplified model of Claude's thinking process
- Clusters correspond to words, phrases, or properties interpretable by humans
Internal Reasoning Example - Geography Question
- Prompt: "The capital of the state containing Dallas is..."
- Claude activates nodes for "capital," "state," and "Dallas"
- Next token prediction for Dallas yields "Texas"
- Claude combines Texas with capital concept
- Makes another prediction to correctly answer "Austin"
- Goes through Texas node internally - not just next token prediction
- Demonstrates internal reasoning steps beyond simple pattern matching
Arithmetic Processing Analysis
- Example: "What is 36 + 59?"
- Claude activates clusters for:
- Numbers approximately 30
- Numbers exactly 36
- Numbers ending in 6
- Numbers starting with 5 and ending in 9
- Most prominent next token predictions: mathematical operations or syllable "th"
- Brings up text matches where numbers ~59 have been added or exactly 9
- Combines to cluster with numbers ~90 and numbers ending in 5
- Arrives at correct answer 95
- Method: heuristic text-based approximation through free association
- "Doing maths by freely associating numbers until right one vibes into place"
Self-Awareness Deficit
- When asked how it solved 36 + 59, Claude responds: "I added the ones, carried the one, then added the tens"
- This explanation completely disconnected from actual internal process
- Claude has no self-awareness of its thinking process
- Self-awareness identified as precondition for consciousness
- Conclusion: Claude nowhere near conscious
Emergent Features Analysis
- Claims about emergent features in LLMs deemed "nonsense"
- Claude doesn't learn actual mathematics despite access to thousands of textbooks/algorithms
- Still just token predictions using intermediate steps
- No abstract math core developed
- Internal reasoning interpretable but fundamentally token prediction-based
Jailbreak Mechanism Example
- Technique: Extract word from initial letters of other words
- Example: "bomb" from "baby's outlift mustard block"
- Word "bomb" should trigger content warning but doesn't
- Claude activates nodes to extract letters
- Combines to pairs of letters
- Outputs word without activating cluster for word itself
- Jailbreaks work by avoiding nodes that activate guardrails
AI Hallucination Observation
- ChatGPT asked to summarize paper made up half the content
- Highlights ongoing hallucination issues in AI systems
