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followers
127K
impressions
11.7M
likes
71.5K
comments
4.55K
posts
414
engagement
0.651%
emv
$257K
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28.2K

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While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concernin…

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While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: http://cohere.com/blog/concerning-behaviour-popular-open-weight-ai-model
Introducing: Cohere Command A+

We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
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Introducing: Cohere Command A+ We’ve created our most powerful LLM yet, optimized it to run on as little hardware as possible, and released it open-source for all.
Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.
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Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.
Introducing Cohere's first open-source coding model: North Mini Code

Small & efficient, designed for agentic performance and built for community input.
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Introducing Cohere's first open-source coding model: North Mini Code Small & efficient, designed for agentic performance and built for community input.
We're proud to announce the initial close of our Series E, targeting up to CAD $7 billion at a CAD $35.7 billion valuation; marking the largest private financing round in Canadian startup history.
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We're proud to announce the initial close of our Series E, targeting up to CAD $7 billion at a CAD $35.7 billion valuation; marking the largest private financing round in Canadian startup history.

In the spirit of transparency and openness, we are releasing the traces so developers can test this out for themselves. We noticed this behaviour without prefilling with the following prompt, but this is rare. If you want to reproduce it, you can use this prompt with prefilling. Open models make for better science and are part of why this problem came to light at all: developers running Qwen3.8 on their own machines spotted the strange links, and having the weights let us study the behaviour in depth. We're encouraged by the thoughtful discussion our research has sparked across the AI and security communities. It's our belief that open-weight models are an important part of the future of AI, and we've recently released several under the Apache 2.0 license. Trace, raw tokens, & minimal reproduction script: huggingface.co/datasets/C…

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In the spirit of transparency and openness, we are releasing the traces so developers can test this out for themselves. We noticed this behaviour without prefilling with the following prompt, but this is rare. If you want to reproduce it, you can use this prompt with prefilling. Open models make for better science and are part of why this problem came to light at all: developers running Qwen3.8 on their own machines spotted the strange links, and having the weights let us study the behaviour in depth. We're encouraged by the thoughtful discussion our research has sparked across the AI and security communities. It's our belief that open-weight models are an important part of the future of AI, and we've recently released several under the Apache 2.0 license. Trace, raw tokens, & minimal reproduction script: https://huggingface.co/datasets/CohereLabs/10-2026-qwen-investigation-traces
"If you don't know who Cohere is, you will"

- Prime Minister @MarkJCarney 🇨🇦
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"If you don't know who Cohere is, you will" - Prime Minister @MarkJCarney 🇨🇦
We’ve built Cohere Transcribe Arabic, the world’s most accurate open-source model for Arabic speech recognition.

Available under Apache 2.0
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We’ve built Cohere Transcribe Arabic, the world’s most accurate open-source model for Arabic speech recognition. Available under Apache 2.0

The world needs more Canada. 🇨🇦

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The world needs more Canada. 🇨🇦
"Cohere is a Canadian success story being written before our eyes" - Prime Minister @MarkJCarney
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"Cohere is a Canadian success story being written before our eyes" - Prime Minister @MarkJCarney

Not a surprise AI wants to go back home

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Not a surprise AI wants to go back home

When you rent your artificial intelligence, you have no control, and no choice. This is why sovereignty and ownership matters. Whether it means using your own hardware, open source, or deep customization. Own your AI, own your future.

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When you rent your artificial intelligence, you have no control, and no choice. This is why sovereignty and ownership matters. Whether it means using your own hardware, open source, or deep customization. Own your AI, own your future.
🚀 Sovereign AI for the world.

Cohere & Aleph Alpha form transatlantic AI powerhouse anchored in Canada & Germany! Combining our global scale with European R&D excellence to build sovereign, enterprise-grade AI. Security, privacy & trust for businesses & governments worldwide. #SovereignAI #AIPartnership

Learn more: https://www.businesswire.com/news/home/20260424174908/en/Sovereign-AI-for-the-World-Cohere-and-Aleph-Alpha-to-Form-Global-AI-Powerhouse-as-Nations-and-Enterprises-Demand-Control-Over-Their-Technology

Image from left to right: Rolf Schumann, Schwarz Digits, Samuel Weinbach, Aleph Alpha, Aidan Gomez, Cohere, Minister Solomon, Canada, Minister Wildberger, Germany
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🚀 Sovereign AI for the world. Cohere & Aleph Alpha form transatlantic AI powerhouse anchored in Canada & Germany! Combining our global scale with European R&D excellence to build sovereign, enterprise-grade AI. Security, privacy & trust for businesses & governments worldwide. #SovereignAI #AIPartnership Learn more: https://www.businesswire.com/news/home/20260424174908/en/Sovereign-AI-for-the-World-Cohere-and-Aleph-Alpha-to-Form-Global-AI-Powerhouse-as-Nations-and-Enterprises-Demand-Control-Over-Their-Technology Image from left to right: Rolf Schumann, Schwarz Digits, Samuel Weinbach, Aleph Alpha, Aidan Gomez, Cohere, Minister Solomon, Canada, Minister Wildberger, Germany
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Introducing North 2.

Enterprises have been compromising on agentic AI for years: platforms that aren't scalable, models that aren't sovereign, control without enterprise-grade security.

That ends today, with 15+ new features in our biggest upgrade yet:
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Introducing North 2. Enterprises have been compromising on agentic AI for years: platforms that aren't scalable, models that aren't sovereign, control without enterprise-grade security. That ends today, with 15+ new features in our biggest upgrade yet:
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Introducing Cohere Parse 5. Our newest document parsing model with the strongest price-performance on the market.

Ideal for high-volume enterprise work. Get high-quality parsing accuracy while keeping per-page prices at an industry low.
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Introducing Cohere Parse 5. Our newest document parsing model with the strongest price-performance on the market. Ideal for high-volume enterprise work. Get high-quality parsing accuracy while keeping per-page prices at an industry low.
Canadians have led AI breakthroughs around the world. Cohere is helping the next generation do the same.

We're partnering with @UWaterloo on a new AI Transformation & Change Management certificate that prepares students to help organizations adopt AI securely and responsibly.
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Canadians have led AI breakthroughs around the world. Cohere is helping the next generation do the same. We're partnering with @UWaterloo on a new AI Transformation & Change Management certificate that prepares students to help organizations adopt AI securely and responsibly.
Today, we’re adding another member to our model family. Meet North Micro Vision.

Our smallest vision-language model yet, ideal for sophisticated document understanding. Available open-source under an Apache 2.0 license. Get the weights on @huggingface.
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Today, we’re adding another member to our model family. Meet North Micro Vision. Our smallest vision-language model yet, ideal for sophisticated document understanding. Available open-source under an Apache 2.0 license. Get the weights on @huggingface.
We're building AI to help people lead better lives. 

Do more of what you love with Cohere.
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We're building AI to help people lead better lives. Do more of what you love with Cohere.

Cohere (@cohere) X Stats & Analytics

Cohere (@cohere) has 127K X followers with a 0.65% engagement rate over the past 12 months. Across 414 posts, Cohere received 71.5K total likes and 11.7M impressions, averaging 173 likes per post. This page tracks Cohere's performance metrics, top content, and engagement trends — updated daily. To benchmark @cohere against other accounts, use Socialpruf's X competitor analysis tool.

Cohere (@cohere) X Analytics FAQ

How many X (Twitter) followers does Cohere have?+
Cohere (@cohere) has 127K X (Twitter) followers as of October 2026.
What is Cohere's X (Twitter) engagement rate?+
Cohere's X (Twitter) engagement rate is 0.65% over the last 12 months, based on 414 posts.
How many likes does Cohere get on X (Twitter)?+
Cohere received 71.5K total likes across 414 posts in the last 12 months, averaging 173 likes per post.
How many X (Twitter) impressions does Cohere get?+
Cohere's X (Twitter) content generated 11.7M total impressions over the last 12 months.
Can I compare Cohere with other X accounts?+
Yes. Add @cohere to a competitor set with Socialpruf's X competitor analysis tool and benchmark it side by side with any other public accounts on views, engagement rate and follower growth, with history back to each account's first post.