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Home/Models & Labs
Models & Labs

Inherent's AI Outperforms Larger Models in Research Task

TechCrunch AI·August 22, 2026·high confidence

Why it matters

  • →Inherent's approach challenges the notion that larger models are always superior by achieving better results with a smaller model.
  • →The use of reinforcement learning to develop 'research taste' could lead to AI systems that contribute meaningfully to scientific discovery.
  • →This development positions Inherent as a potential competitor to established AI giants like OpenAI and Anthropic.
Inherent's AI Outperforms Larger Models in Research Task
©TechCrunch AI

Inherent, a London AI lab founded by former DeepMind alumni, has announced that its AI agent, Faraday, has outperformed larger models from Anthropic and OpenAI in replicating scientific research findings. Faraday, which operates on a smaller model with 27 billion parameters, uses reinforcement learning to develop an instinct for valuable experiments. This achievement marks a significant step for Inherent, which aims to build AI capable of discovering new scientific knowledge. The startup, which recently emerged from stealth with a $50 million seed round, plans to expand its team as it continues to develop its AI capabilities.

Read original

The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

Ex-DeepMind Team Raises $50M for AI Startup Inherent — Sifted1Google DeepMind Funds Multi-Agent AI Safety Research — MIT Technology Review AI2Exploring Self-Improving AI for Personal Use — WIRED AI3Former DeepMind Researcher Raises $55M for Visual AI Startup — TechCrunch AI4AI's Growing Role in Physical and Science Sectors — Sifted5Researchers Uncover AI Models' Hidden Reasoning — WIRED AI6Study Questions AI's Ability for Self-Improvement — MIT Technology Review AI7DeepMind Expands AI Research Through Gaming Partnerships — Google DeepMind8Inherent's AI Outperforms Larger Models in Research TaskMeta AI Develops Organizational 'Second Brain' — Meta AI9OpenAI's Coding Agents Boost Research Speed — OpenAI10OpenAI's Agents Boost Research Productivity — The Rundown AI11MIT proposes self-organizing networks to bridge AI and neuroscience — MIT News AI12AI agents invent play when left alone — TechCrunch AI13May 29You are hereOct 23

How we got here

  1. 1
    Ex-DeepMind Team Raises $50M for AI Startup Inherent

    Sifted · May 29, 2026 · Same story

  2. 2
    Google DeepMind Funds Multi-Agent AI Safety Research

    MIT Technology Review AI · June 11, 2026 · Background

  3. 3
    Exploring Self-Improving AI for Personal Use

    WIRED AI · July 8, 2026 · Background

  4. 4
    Former DeepMind Researcher Raises $55M for Visual AI Startup

    TechCrunch AI · July 16, 2026 · Background

  5. 5
    AI's Growing Role in Physical and Science Sectors

    Sifted · August 5, 2026 · Background

  6. 6
    Researchers Uncover AI Models' Hidden Reasoning

    WIRED AI · August 11, 2026 · Background

  7. 7
    Study Questions AI's Ability for Self-Improvement

    MIT Technology Review AI · August 18, 2026 · Background

  8. 8
    DeepMind Expands AI Research Through Gaming Partnerships

    Google DeepMind · August 21, 2026 · Background

What happened next

  1. 9
    Meta AI Develops Organizational 'Second Brain'

    Meta AI · September 2, 2026 · Background

  2. 10
    OpenAI's Coding Agents Boost Research Speed

    OpenAI · September 6, 2026 · Background

  3. 11
    OpenAI's Agents Boost Research Productivity

    The Rundown AI · September 8, 2026 · Background

  4. 12
    MIT proposes self-organizing networks to bridge AI and neuroscience

    MIT News AI · October 13, 2026 · Background

  5. 13
    AI agents invent play when left alone

    TechCrunch AI · October 23, 2026 · Background

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