Gemma Scope Empowers AI Safety Community with Model Transparency

Discover how Gemma Scope shines a light on language‑model behavior, giving the AI safety community the tools they need to build safer systems.

TechLife

🧠 Only 1.5% of neurons in LLMs simulate what we call 'thinking'
What powers ChatGPT and Claude isn’t logic—it’s a bag of heuristics disguised as intelligence.
Explore the math, the illusion, and the risk in trusting machines that mimic minds.

👇 Read the full breakdown:
https://medium.com/@rogt.x1997/the-1-5-illusion-how-llms-fool-the-world-by-simulating-thought-b15f55ae4eae

#FakeThinking #AIInterpretability #LLMs
https://medium.com/@rogt.x1997/the-1-5-illusion-how-llms-fool-the-world-by-simulating-thought-b15f55ae4eae

The 1.5% Illusion: How LLMs Fool the World by Simulating Thought

Open any AI demo today and you’re likely to see a model solving math problems, writing essays, generating code, or producing poetic text with uncanny fluency. It may ace logical reasoning benchmarks…

Medium
Aus dem Internet-Observatorium #135

KI, Intrigen und Interpretierbarkeit

Aus dem Internet-Observatorium
Ah, the riveting world of "circuit tracing" in language models 🤖🔍, because what we really needed was another way to complicate things we barely understand. A "replacement model" that makes things "interpretable"? 😂 More like a desperate attempt to justify endless AI research grants.
https://transformer-circuits.pub/2025/attribution-graphs/methods.html #circuittracing #AIinterpretability #researchgrants #language_models #techhumor #HackerNews #ngated
Circuit Tracing: Revealing Computational Graphs in Language Models

We describe an approach to tracing the “step-by-step” computation involved when a model responds to a single prompt.

Transformer Circuits