Inherent, founded by DeepMind alumni, says its AI teammate outperformed Anthropic and OpenAI in research replication
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| Source: TechCrunch | Original article
London AI lab Inherent, founded by DeepMind alumni, unveiled its Faraday AI agent, which outperformed Anthropic and OpenAI in replicating scientific research papers.
Inherent, the London‑based AI lab founded by former DeepMind researchers, announced that its new agent Faraday has outperformed the much larger models from Anthropic and OpenAI in reproducing the findings of scientific papers. In internal tests Faraday, built on roughly 27 billion parameters, matched or exceeded the results of Anthropic’s Claude Opus 4.8 and OpenAI’s GPT‑5.5 while using a fraction of the compute required by those systems. The claim follows Inherent’s earlier demonstration, reported on 23 August, that its AI “teammate” could beat industry giants on a range of tasks.
The breakthrough matters because reliable replication of research is a persistent bottleneck in science. An agent that can accurately reproduce experimental outcomes could accelerate literature reviews, verify results faster, and lower the cost of AI‑driven discovery. By achieving comparable performance with a smaller model, Faraday also challenges the prevailing notion that scale alone drives superiority, suggesting that architectural or training innovations can deliver efficiency gains.
Going forward, the AI community will be watching for independent benchmarks that confirm Inherent’s results and for any real‑world deployments of Faraday in academic or industrial settings. Observers will also track whether the lab leverages its $50 million seed funding to scale the technology or to partner with research institutions. Finally, the competitive response from Anthropic and OpenAI—potentially through model updates or new evaluation protocols—will indicate how quickly the field adapts to a more size‑efficient approach to scientific AI.
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