Aidan Gomez
Cohere co-founder, CEO and transformer co-author
Co-authored the transformer paper “Attention Is All You Need” while at Google Brain, then co-founded Cohere in 2019. His work spans enterprise language models, multilingual research and open scientific collaboration.
Key arguments & positions
- Argues enterprise AI should be evaluated by whether it can work securely with an organization's data and existing systems, not only by public benchmark scores.
- Supports open research and multilingual model development while building Cohere primarily for business and government use.
Accomplishments
- Co-authored “Attention Is All You Need” (2017), the paper that introduced the transformer architecture used by modern large language models.
- Co-founded Cohere in 2019 and serves as CEO.
- Founded the research community FOR.ai, which became Cohere Labs and developed the multilingual Aya model initiative.
Papers & key writings
Links
In the library
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Recommended next
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LLM Course (Hugging Face)
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A Call for Control of Frontier AI Models
A short joint statement issued in September 2026 by heads of state and government — launched by President Alexander Stubb of Finland and Prime Minister Jonas Gahr Støre of Norway, with 22 leaders from 20 countries signed on at launch. It asks for three things: mandatory pre-deployment testing and independent evaluation by qualified evaluators with real access; coordinated common standards and shared reporting of serious safety incidents, with scientific capacity available to countries in every region; and for UN member states to explore an international institution that could set standards, verify compliance and convene states when capability thresholds are crossed.
Why this: Also about frontier models
Alignment Research Center
Non-profit research organisation working on theoretical alignment and on evaluations that test what frontier models are capable of, with public reports.
Why this: Also about frontier models
Cactus
On-device AI with cloud fallback for smartphones, laptops, and edge devices, designed to cut inference costs by knowing when to hand off to frontier cloud models.
Why this: Also about frontier models