Cohere Inc.
Artificial intelligence companywww.cohere.com
77
MENTIONS
44
EPISODES
42
PODCASTS
Search complete. 77 mentions across 44 episodes found for "Cohere Inc.".
Sep 11, 2026
DX Today AI Daily Brief: Friday, September 11, 2026
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0:14speaker_0HOST
Oracle's cloud backlog tops $664 billion after a blockbuster earnings report.
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0:21speaker_0HOST
And Cohere is reportedly in talks for a new funding round at a $20 billion valuation.
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0:27speaker_0HOST
Let's get into it.
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0:28speaker_1CORRESPONDENT
SpaceX has signed another blockbuster artificial intelligence hosting deal.
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2:13speaker_2CORRESPONDENT
Analysts said the results suggest Oracle's AI cloud backlog is beginning to convert into real revenue.
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2:21speaker_3CORRESPONDENT
Now to funding news.
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2:22speaker_3CORRESPONDENT
Cohere is in advanced talks to raise between $2 billion and $3 billion in new funding at a $20 billion valuation, according to a Bloomberg report on Friday.
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2:33speaker_3CORRESPONDENT
The terms are not final, and people familiar with the discussions said the round could close as early as next week.
PPI and Market and Geopolitical Risks
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32:09Heath TerryGUEST
Um, and we're seeing a lot of open source growth, not just from Chinese models, but from all of the, the Western models as, as well.
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32:17Heath TerryGUEST
Um, companies like Poolside with their Laguna models, companies like Cohere and Mistral that, that have models as well as all of the ones out of China, DeepSeek and Qwen and Kimi.
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32:27Heath TerryGUEST
Um, those are getting a lot of traction because they have been price performant, and they have been able to get, um, get a lot of, a, a lot of usage, a lot of volume usage, uh, among s- a certain type of enterprise and a certain type of, type of workload.
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32:43Heath TerryGUEST
That's, we think, is starting to shift because what you're, what we've seen in the most recent frontier model releases, and it's why these, these models that have come out in the last couple of weeks are, are so important, is these models are now not only the most performant models in terms of, of absolutely pushing what can be done with AI, but they're also economically efficient when you look at it on a cost per task basis.
The U.S. leads AI. Why other countries want a backup plan
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0:21Arjun KharpalHOST
Do you think Western policymakers still underestimating the, the technical capabilities of China? [upbeat music] Hello, I'm CNBC's senior technology correspondent, Arjun Kharpal.
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0:37Arjun KharpalHOST
My guest today is Aidan Gomez, CEO of Cohere, which is an enterprise-focused AI startup.
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0:43Arjun KharpalHOST
But before he was a CEO, Gomez was one of the co-authors of the 2017 research paper, Attention Is All You Need, better known as the Transformer paper.
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0:52Arjun KharpalHOST
The key breakthrough was teaching AI how to pay attention to the most relevant pieces of information in a sentence or document at the same time, rather than processing information sequentially.
A
1:33Arjun KharpalHOST
But sovereignty is, is a word we continue to hear over and over again.
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1:37Arjun KharpalHOST
I've heard multiple definitions o- of sovereignty as well.
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1:41Arjun KharpalHOST
What does this mean in practice for, for you guys at Cohere?
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1:43Aidan GomezGUEST
So for us, the way that we look at it is sovereignty is control, so control over the data in your system.
The Hidden Cost of Long Context
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7:41Manoj SukumaranHOST
So how different is this compared to VLLM's paged attention or NVIDIA's inference context memory storage platform? How do you differentiate Infera from these kind of solutions?
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7:54ArthurGUEST
So I had created previously, I looked at when I was during my time in Cohere, I looked at Paged Attention in TensorRT LLM, and I also looked at VLLM.
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8:04ArthurGUEST
You know, historically, so Cohere is sort of an interesting company in that one of the co-founders was one of the people who created Attention Is All You Need.
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8:10ArthurGUEST
And, you know, there was Faster Transformer as a library that they had that was, you know, a little bit better than just, you know, pip import transformers, right? And then later, TensorFlow TLM, and then later VLLM.
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8:21ArthurGUEST
And I've been looking at the page attention implementation as somebody who came from sort of the background of virtualization.
Zavain Dar on Hugging Face, NVIDIA & Why Silicon Valley Should Pay Attention to China
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12:17Eric NewcomerHOST
They're like, yo, you know...
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12:18Eric NewcomerHOST
I mean, Cohere is literally, you know, [chuckles] a Canadian company-
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12:22Zavain DarGUEST
Yeah
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12:22Eric NewcomerHOST
... building ties to Germany, s- spending time in London-
The federal government is offering a course on AI literacy
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24:00Evan SolomonGUEST
Oh, we use AI tools like we use lots of digital tools for lots of different things.
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24:09Evan SolomonGUEST
We use Cohere, which is a Canadian incredible company.
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24:14Evan SolomonGUEST
And as you know, as the federal government, We use Canadian companies and they're secure and they're very helpful in many of the tasks that we do.
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24:26Evan SolomonGUEST
And it's good to support Canadian companies using this technology.
5 Solo Founders Called In With Their Hardest Problem | Solo Founders Office Hours
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8:13AriHOST
He raised a pre-seed, previously scaled an AI support code to 84K ARR.
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8:18AriHOST
And before this, he was doing data evals at Cohere.
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8:21AriHOST
Ryan, take it away.
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8:23Ryan JunejoGUEST
Hey, Julian.
Thoughts on a changing global order from Janice Stein, a leading expert in global affairs
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16:56Janice SteinGUEST
Well, we did.
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16:57Janice SteinGUEST
Our largest large language model developer, Cohere, partnered with Germany, with a company in Germany, and we could extend that out to others, to South Korea.
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17:09Janice SteinGUEST
You build a shared cloud because you're not worried that the South Koreans are the Germans.
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17:15Janice SteinGUEST
are going to be in a position where they could coerce.
1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano
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0:15Jon KrohnHOST
Today's exceptional guest is Dr. Luis Serrano, founder of the Serrano Academy, whose YouTube channel has over 200,000 subscribers hooked on his visual intuitive explanations of machine learning.
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0:28Jon KrohnHOST
Luis previously worked at Apple, Cohere, and a quantum computing startup, and the second edition of his best-selling book, Grokking Machine Learning, is out this very month.
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0:38Jon KrohnHOST
In today's episode, Luis explains his mind-bending new paper on how transformer architectures mirror Einstein's curved spacetime, why RAG isn't an agent, and how GRPO, the reinforcement learning technique behind DeepSeq's reasoning breakthrough, really works.
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0:53Jon KrohnHOST
Enjoy.
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1:45Jon KrohnHOST
some soccer.
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1:47Jon KrohnHOST
Yeah, it was a fun day.
J
1:49Jon KrohnHOST
So last time you were on the show, it was your final month at what was at the time a company that was talked about a lot, Cohere.
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1:56Jon KrohnHOST
It felt like Cohere was in the conversation next to OpenAI and Anthropic all the time a couple of years ago.
From AI to Real Outcomes
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2:43Chris WolfGUEST
So they've been looking for turnkey solutions.
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2:46Chris WolfGUEST
You know, one of the companies that we worked with in this space is Cohere.
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2:50Chris WolfGUEST
And Cohere is running models and services for the Canadian government today.
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2:56Chris WolfGUEST
We have customers running Mistral AI models as another example.
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3:00Chris WolfGUEST
And you see this influx of these commercial solutions coming on premises, which is, to me, it's...
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