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1. This is an open source model that can run on people's hardware at a fraction of the cost of GPT. No cloud services in the middle. 2. This model is not censo
by antirez 3y ago
1. This is an open source model that can run on people's hardware at a fraction of the cost of GPT. No cloud services in the middle.
2. This model is not censored as GPT.
3. This model has a lot less latency than GPT.
4. In their endpoint this model is called mistral-small. Probably they are training something much larger than can compete with GPT4.
5. This model can be fine tuned.
- yawnxyz 3y agohow does this work in their favor as a business? Don't get me wrong I love how all of it's free, but that doesn't seem to be helpful towards a $2b valuation. At least WeWork charged for access
- pulse7 3y agoMaybe they will charge for accessing the future Mixtral 8x70B ...
- antirez 3y ago* Open source models: give you all the attention (pun intended) you can get, away from OpenAI. At the same time do a great service to the world. * Maybe in the future, bigger closed models? Make money with the state-of-art of what you can provide.
- supriyo-biswas 3y agoMany VC funded businesses do not have an initial business model involving direct monetization. The first step is probably gaining mindshare with free, open source models, and then they can extend into model training services, consultation for ML model construction, and paid access to proprietary models, similar to OpenAI.
- jddj 3y agoEven in the public markets this happens all the time, eg. Biotech, new battery chemistries, etc. In trends people pay for a seat at the table with a good team and worry about the details later. The 2B headline number is a distraction.
- samuel 3y agoThey could charge for tuning/support, just like every other Open Source company. Most business will want their models trained in their own, internal data, instead of risking uploading their Intellectual Property into SaaS solutions. These Open Source models could fill that gap.
- robwwilliams 3y agoTo Europe and France this is a most important strategic area of research, defense, and industry—-on par with aviation and electronics. The EU recognizes its relatively slow pace compared to what is happening in the US and China. Consider Mistral like a proto-Airbus.
- baq 3y agoExactly. EU's VC situation is dire compared to SV, which maybe isn't that bad if you think about what the VCs are actually after, but in this particular case it's a matter of national security of all EU countries. The capability must be there.
- yodsanklai 3y agoAren't they mostly funded by private American funds? what is EU involvement in this projet?
- b4ke 3y agoeuropean engineers, french vc money.... etc :/
- jackjeff 3y agoMistral is funded in part by Lightspeed Venture Partners a US VP. But there are a lot of local French and European VPs involved. The most famous one is Xavier Niel, who started Free/Iliad a French ISP/cloud provider and later cellphone provider that literally decimated the pricing structure of the incumbent some 20 years ago in France and still managed to make money. He’s a bit of a tech folk hero, kind of like Elon Musk was before Twitter. His company Iliad is also involved in providing access to NVIDIA compute clusters to local AI startups, playing the role Microsoft Azure plays for OpenAI. France and the EU at large has missed the boat on tech, but they have a card to play here since they have for once both the expertise and the money rolled up. My main worry is that the EU legislation that’s in the works will be so dumb that only big US corporations will be able to work it out, and basically the legislation will scare investment away from the EU. But since the French government is involved and the guy who is writing the awful AI law is a French nominee, there’s a bit of hope.
- amrrs 3y agoThey are withholding a bigger model which at this point is "Mistral Medium" and that'll be available only behind their API end point. Makes sense for them to make money from it!
- kaliqt 3y agoBecause their larger models are super powerful. This makes sure their models start becoming the norm from the bottom up. It also solidifies their name as the best, above all others. That's extremely important mindshare. You need mindshare at the foundation to build a billion dollar revenue startup.
- jasonjmcghee 3y agoThey launched an inference API https://mistral.ai/news/la-plateforme/ https://mistral.ai/news/la-plateforme/
- ChrisMarshallNY 3y agoNotes poster ID That seems a fairly authoritative response. I'm looking forward to seeing how this does. The "unencumbered by a network connection" thing is pretty important.
- stavros 3y agoI agree with what antirez said, but I want to address the fallacy: The fact that he's an authority in C doesn't make him a priori more likely to know a lot about ML.
- ChrisMarshallNY 3y agoNot just C. He's obviously damn good at architecture and systems design, as well as long-term planning. You don't get that from a box of Cracker Jacks.
- stavros 3y agoRight, but the fact remains that none of those things is ML.
- ChrisMarshallNY 3y agoFair 'nuff. Not worth arguing over.
- stavros 3y agoTo be clear, I'm not saying antirez is or isn't good at ML, I'm saying C/systems design/etc experience doesn't automatically make someone good at ML. I'm not trying to argue, I'm just discussing.
- ChrisMarshallNY 3y agoOh, it's not a big deal. I just hate talking about the chap in front of him. I like to give compliments specifically, and be vague about less-than-complimentary things. The thing is, even the ML people are not exactly sure what's going on, under the hood. It's a very new field, with a ton of "Here, there be dragonnes" stuff. I feel that folks with a good grasp of long-term architectural experience, are a good bet; even if their experience is not precisely on topic. I don't know how to do almost every project I start. I write about that, here: https://littlegreenviper.com/miscellany/thats-not-what-ships-are-built-for/ https://littlegreenviper.com/miscellany/thats-not-what-ships...
- deleted 3y ago[deleted]