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