---
title: "LLMs are stuck in a groupthink groove. This startup is trying to get them out."
slug: "startup-flint-will-chatgpt-claude-und-gemini-aus-dem-groupthink-holen"
date: 2026-07-01
category: tech-pub
tags: [anthropic]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/startup-flint-will-chatgpt-claude-und-gemini-aus-dem-groupthink-holen
---

# LLMs are stuck in a groupthink groove. This startup is trying to get them out.

**Published**: 2026-07-01 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.

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## Summary

- MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.
- The issue is not the number itself but the sameness: Claude, ChatGPT and Gemini can produce similar response grooves despite being marketed as different systems.
- A startup is trying to push models out of this groupthink by making outputs less predictable, less consensus-shaped and more useful for genuine exploration.

---

## Why it matters

MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.

---

## Key Points

- MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.
- The issue is not the number itself but the sameness: Claude, ChatGPT and Gemini can produce similar response grooves despite being marketed as different systems.
- A startup is trying to push models out of this groupthink by making outputs less predictable, less consensus-shaped and more useful for genuine exploration.

---

## Nauti's Take

This is a strong topic because it punctures the myth of the neutral AI assistant. LLMs are not dice; they are probability machines shaped by training data, product choices and cultural defaults. If everyone asks the same assistants, the average becomes the strategy. The startup becomes interesting only if it goes beyond a neat demo with measurable output diversity, clear benchmarks and less black-box PR.

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## FAQ

**Q:** What is LLMs are stuck in a groupthink groove. This startup is trying to get them out. about?

**A:** - MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.

**Q:** Why does it matter?

**A:** MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.

**Q:** What are the key takeaways?

**A:** MIT Technology Review highlights a familiar pattern: ask major chatbots for a random number from 1 to 10 and they disproportionately answer 7, then often move toward 3, 4, 8 or 9.. The issue is not the number itself but the sameness: Claude, ChatGPT and Gemini can produce similar response grooves despite being marketed as different systems.. A startup is trying to push models out of this groupthink by making outputs less predictable, less consensus-shaped and more useful for genuine exploration.

---

## Related Topics

- [anthropic](https://news.ainauten.com/en/tag/anthropic)

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## Sources

- [LLMs are stuck in a groupthink groove. This startup is trying to get them out.](https://www.technologyreview.com/2026/07/01/1140003/llms-are-stuck-in-a-groupthink-rut-this-startup-is-trying-to-get-them-out/) - MIT Technology Review

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-07-03*