---
title: "Goodfire researcher's 26,000-word post claims new view of neural networks"
url: https://www.parallelquant.com/posts/goodfire-researcher-s-26-000-word-post-claims-new-view-of-neural-network-66bbd8
source_name: "MIT Technology Review"
source_url: https://www.technologyreview.com/2026/10/19/1147149/we-were-looking-at-it-wrong-the-explosive-claim-thats-upended-the-ai-world/
published: 2026-10-19T17:45:55.000Z
topics: ["research"]
publisher: "Parallel Quant"
---

# Goodfire researcher's 26,000-word post claims new view of neural networks

*2026-10-19 · Source: [MIT Technology Review](https://www.technologyreview.com/2026/10/19/1147149/we-were-looking-at-it-wrong-the-explosive-claim-thats-upended-the-ai-world/)*

Nick Cammarata of Goodfire published a 26,000-word blog post claiming good news about the nature of neural networks. MIT Technology Review reports it has sparked wide speculation and both cautious and uncritical celebration.

**Why it matters:** If the claim about how networks represent information holds up, it could shape interpretability, an area central to safety work. The excerpt gives few specifics, so independent replication matters before drawing conclusions.

**Topics:** research

---
Read the original: https://www.technologyreview.com/2026/10/19/1147149/we-were-looking-at-it-wrong-the-explosive-claim-thats-upended-the-ai-world/
Canonical: https://www.parallelquant.com/posts/goodfire-researcher-s-26-000-word-post-claims-new-view-of-neural-network-66bbd8
Published by Parallel Quant — https://www.parallelquant.com