| ▲ | lelanthran 4 hours ago |
| I also think that this is the best approach for businesses wanting to adopt AI to automate, streamline, etc their business. The problem they have is that this is not a moat - their approach is easily reproducible. If they can pull ahead in having the most number of pre-trained models (one for this ERP, one for that CRM, etc) and then being able to close sales to companies using these products and sell them on post-trained (give us your specific ERP customisations and we'll give you access to a model that is tailored to your business), then THAT is a moat. But they need to do this without fanfare. Just close sales, and keep closing, basically. After all, even if other AI providers copy the process, the moat would already have been established for Mistral. |
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| ▲ | Lapel2742 2 hours ago | parent | next [-] |
| > The problem they have is that this is not a moat - their approach is easily reproducible. My 2ct: Currently the moat may be that they are not US-American which is not reproducible by any of the US alternatives. |
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| ▲ | lelanthran 2 hours ago | parent | next [-] | | > My 2ct: Currently the moat may be that they are not US-American which is not reproducible by any of the US alternatives. I hope you are right (I am in the process of finalising a product and one of the top-5 selling points contains "outside the jurisdiction of the US"), but in my experience, companies only pay lip service to ethics unless it hits their bottom line. | | |
| ▲ | Lapel2742 an hour ago | parent [-] | | > but in my experience, companies only pay lip service to ethics unless it hits their bottom line. Sure, Mistral AI is certainly not the market leader and probably never will be but we're not talking about being a market leader but about having a moat. I instantly believe you when you tell me that many companies do not care. On the other hand there are companies that do. At least partially: ASML, Stellantis, AXA, BNP Paribas, the French ministry of defense, Helsing, SNCF, ... are all Mistral AI customers. |
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| ▲ | soco an hour ago | parent | prev | next [-] | | Mistral is still hosted on US providers, their EU centers are only in planning. Data access aside, if AWS or Azure (or Cloudflare) are ordered to pull the plug, it's still goodbye Mistral. Unless you use a third party hoster that is, or do it yourself of course - already possible. | | |
| ▲ | amonith an hour ago | parent [-] | | To extend on that a little bit: they use data centers located in EU, but owned by US cloud providers.
They can still pull the plug ofc, so it's only a small difference, but still |
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| ▲ | drstewart 2 hours ago | parent | prev [-] | | This moat doesn't seem to be much of a moat considering a non-US model doesn't even crack the top 5 by usage - except DeepSeek, which would be a strange choice for Europeans looking for data sovereignty. | | |
| ▲ | lelanthran an hour ago | parent | next [-] | | > This moat doesn't seem to be much of a moat considering a non-US model doesn't even crack the top 5 by usage - except DeepSeek, which would be a strange choice for Europeans looking for data sovereignty. Hang on, where are you getting the numbers from? I looked and I couldn't find any numbers on enterprises who opened their wallets for custom-trained models. I looked, and because I believed that it might be a good business opportunity to explore, I did spend a bit of time trying to find numbers. I came away with the feeling that the winner in the AI space is going to be whoever successfully whitelabels their offering. Right now that is Mistral, I think. | |
| ▲ | Lapel2742 2 hours ago | parent | prev [-] | | > considering a non-US model doesn't even crack the top 5 by usage How do you measure "usage" in an enterprise/commercial context where no data on usage is available to you? I don't expect Mistral AI to make it's money on OpenRouter. |
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| ▲ | erispoe 11 minutes ago | parent | prev [-] |
| Except the evidence today rather points to SOTA model + harness than fine tuned models. |
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| ▲ | lelanthran 2 minutes ago | parent [-] | | > Except the evidence today rather points to SOTA model + harness than fine tuned models. I have not seen that, actually. I still see most companies who want to jump into AI for the business sort of try RAG, but more often they just buy Chat accounts for their users. The only place that harnesses appear to be used is in software development, but most companies aren't doing that either. |
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