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Aidan Gomez retweeted
Cool new open-weight model by Cohere: a new lightweight 30B open-weight model for agentic coding tasks.
This one builds on Command A using the parallel transformer design. Interestingly, even though it's almost half as big, it almost doubles the number of layers.
Also, they say that it's been specifically developed for agentic coding, not just coding. I.e., the evaluation is inside a workflow, not just on a single prompt-to-code-answer task.
For Terminal-Bench, the model has to use a terminal, inspect the environment, run commands, read outputs, etc.
For SWE-Bench the model works on real GitHub-style software issues where it has to understand the repository, find relevant files, make a patch, pass tests, etc.
SciCode and LiveCodeBench are more traditional because they mostly test whether the model can produce correct code for a specified problem. Sure, this still requires reasoning, but it's more like “Implement a numerical routine to compute a scientific quantity from given equations and inputs.” which doesn't require any interaction with the environment, existing files, tests, etc.
The focus on the agentic code benchmarks is probably why it's far ahead of Gemma 4 on those.
Overall, it's pretty competitive although not quite Qwen3.6-level performance.
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Sovereign AI capabilities in more than one democracy is essential to the democratic project.
Come contribute to Cohere’s mission.
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One paper from three years ago has been influencing policymakers around the world about labour decisions regarding AI.
What happens when the gap between the evidence and new policy widens? Our report from @Cohere_Labs looks at these effects, as part of a new research direction exploring how AI impacts the future of work:
cohere.com/blog/the-future-o…
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Great work from the Labs team on AI impact on Labour and ideas on how to better track the impact to workers.
Jun 10
A single exposure score is driving the future of work debate.
Our latest report examines what a fuller evidence base looks like, and what it would take to build it.
See what is being missed. cohere.com/blog/the-future-o…
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Aidan Gomez retweeted
Jun 10
How is your job represented in the data informing the future of work debate?
See how O*NET tasks have been re-rated, dropped, or rewritten since 2023 and tell us whether any of it reflects how your work has actually changed: cohere.com/labormap
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Aidan Gomez retweeted
Jun 10
⚡️Excited to share our first report on the future(s) of work.
We build models so we have a good view on what AI can and can't do, but it doesn't always transfer to how this technology is impacting every job. That's the gap we're trying to close in this work 🔦
Jun 10
A single exposure score is driving the future of work debate.
Our latest report examines what a fuller evidence base looks like, and what it would take to build it.
See what is being missed. cohere.com/blog/the-future-o…
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Jun 9
Today, Cohere announced a new partnership with the Government of Québec.
Québec has long been one of the most important AI ecosystems in the world. We’re proud to partner with the Government of Québec to support secure, sovereign, Canadian-built AI that reflects the communities it serves and is deployed with the security and control governments require.
This is an important step in showing how world-class AI can be built in Canada, adopted in Canada, and used to improve the public services people depend on every day.
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Aujourd'hui, Cohere a annoncé un nouveau partenariat avec le gouvernement du Québec.
Le Québec est depuis longtemps l'un des écosystèmes d'IA les plus importants au monde. Nous sommes fiers de collaborer avec le gouvernement du Québec pour soutenir une IA sécurisée, souveraine et construite au Canada, qui reflète les communautés qu'elle sert et qui est déployée avec la sécurité et le contrôle requis par les gouvernements.
C'est une étape importante pour montrer comment une IA de classe mondiale peut être construite au Canada, adoptée au Canada et utilisée pour améliorer les services publics dont les citoyens dépendent chaque jour.
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Nick, Ivan, and I wrote a short piece on Canada’s role in artificial intelligence in the decades prior and the decades ahead. We as a country need to choose to compete to build, and resource ourselves to do that.
Our nation has the talent and ambition to succeed. Our former technology strategies across capital deployment and market adoption have failed. It’s time we take a more aggressive and strategic approach to capability development to ensure we control our destiny, protect our home, and build a foundation that gives the next generation advantage to build up.
There’s a bright future to be built if we’re willing to do what it takes to build it.
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Aidan Gomez retweeted
Jun 4
I fucking love Canada.
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For decades, Canada invested to build the research foundations that made modern AI possible. Now we have to build, train, and scale what comes next here at home.
Canada's new national AI strategy is an important step toward that goal, and Cohere is proud to be part of the national effort.
Let’s build a better, stronger Canada. 🇨🇦
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Command A sets a new high for Cohere's machine translation capabilities.
Opening a clear gap over open source peers Mistral Medium 3.5, DeepSeek, & OpenAI's gpt-oss, as well as Claude Opus 4.6. A also outperforms specialist systems like Google Translate.
RWS is better... but we built that with them too
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