This is the Mistral AI team. Do you notice anything unusual about them, compared to many American teams?
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This is the Mistral AI team. Do you notice anything unusual about them, compared to many American teams?
>Do you notice anything unusual about them
The fact they don't look unusual?!
Yes, they're French.
Wtf do French have to do with tech? They need to stick to baking bread.
Americans are good to build & crash things fast and to make them market ready, but do lack a bit of analytical skills compared to Europeans and especially French peoples. For starter Meta's Chief of AI, Yann LeCun, is french.
"Many such cases".
not enough Indians
This. Unusually low ratio of non-whites. Also only 3 women.
Imagine the smell, freetards really are pathetic
Would
yeah, she's hot, probably sucks off the CEO
>only working nukes in the world
>only working riots in the world
>only working AI in the world
France, I kneel.
for any based anon who knows,
what does an ai team like them or chad nous research do?
how would working for/with them feel and how hard would it be to fill their requirements?
Paying Sengalis slave wages to train on images.
It's more properly an African AI. Not French. Same as OpenAI.
The africans write the captions.
I interviewed around 30-40 people for AI positions last year. Most of them are completely clueless, they are glorified data entry clerks. Many went to alrge companies like Samsung straight after uni, expecting cool work, but they only write scripts to clean up shitty data all day. There isn't that much competition. I'd say if you can follow a hugging face tutorial, you might have a chance.
how about education requirements
im hoping to do a master's degree, but i dont think i want to focus on ai
even though i do kind of want to take ai classes
If you think startups care about degrees, you're funny
>you're funny
no, i'd call myself a student totally clueless about how the real world works
that figures though
of course this is objectively better but it also means i would have to learn the deeper topics by myself instead of with them, which is pretty fair i think
I expect high profile companies like Mistral get a lot more applications, so they can be more picky. There are many companies in this industry though, doing very cool stuff. Governments have started investing into AI too, so it's not that hard to get a decent grant if you know what you're doing. You might want to look at the lists of various grant beneficiaries in your country to locate interesting companies, they might just be hiring. When I was interviewing people, the most impressive candidates were all people who said they like reading recent AI papers and try implementing the techniques themselves. You can get very far by just following free tutorials from Huggingface and other such websites. A lot of this stuff is trial and error.
thanks a lot for the tips anon, very valuable
i was on the hypothetical side though, because if i do the master's it'll take me like more than 4 years to finish which is very long in this field
I'm studying electrical engineering but thinking of pivoting into AI. I've gone through stanford's CS231, fastAI, and a few smaller courses focusing on lower level, AI from scratch type stuff. I've trained a few autoencoders, classifiers or whatever for fun. I mostly use models in Hugging Face to create small apps for myself. My question is, how do I know if I'm good enough to work "professionally"?
You know when you land a job.
I've done the startup thing a few times. Usually small teams are composed of people who know each other from previous collaborations eg. at work or school. Often times picking up where they left off. They have a common goal and put all their energy into it. While they have strict technical requirements a lot of it comes down to vibes and whether you fit in. Small companies and teams care a lot about culture because its essentially a friend group. As for education, matters less than visible and known results (see the first point).
Good to see Roger Federer doing something different.
Almost all of em above average in looks?
Damn, these nerds actually know how to fashion.
>Do you notice anything unusual about them, compared to many American teams?
No one is fat.
Hey I know the location, I've been to this rooftop !
This is at Sia Partners in Paris, cool location.
it's pretty wild, huh
"isn't there someone you forgot to ask?".jpg
Current year...
Why does it add on that “featuring diverse woke morons”
If I was a black person I would feel deeply uncomfortable with AI generated inclusion and also the blaxploitation in movies and tv series.
I would be embarrassed by seeing black vikings and such.
Us black chuds do
Anyone ever tried prodding it about the "diverse ethnicities and genders" part?
No historically accurate 16th century British kings among them?
>no blacks
>no indians
>one chink
>qt secretaries
seems like a chill place to work
indian next to the chinaman
shit. it's ruined.
I would work there if european IT salaries weren't a joke
It looks like you could safely relax among them.
too many jorts wearers tbqh
if the AI revolution is going to be brought in by jorts then maybe it shouldn't happen at all