#open ai vs. cartesia
1 messages · Page 1 of 1 (latest)
define internal apps? doesn't sound the most interesting
just working on a bunch of tools/dashboards/integrations seems like
which yes
does not sound v appealing lol
Cartesia
AI labs don’t care about name only what work/research u did
You won’t be doing any relevant work at oai from the looks of it
Go cartesia
Def can not move from internal apps to model building work
Very different work
Idk how internal movement works at ai labs but id assume you would need relevant exp to touch such an important part
Why not apply to a safety oriented lab
Far, Apollo, etc?
If ur getting cartesia/ openai they'd probably be interested as well
Ig tho these are better for early career name
Yeah id take cartesia here tbh I feel hands on ml experience is probably most relevant for you
fair but it's a bit too late atp, and wouldn't reneg obv
Im in a somewhat similar situation but am prob a few months grad after you seeing as you're August batch
Trying to get research as BS instead of swe oriented roles
I def think its easier to go from ml eng to research eng / scientist
is cartesia swe on an ml team? Or mle
yea i think that's the conclusion i came to as well, just want a bit more confirmation to overcome friction of turning down oai
pure ml
Hey tbh the openai team is a bit open to changing the loop
wdym
They may ask you to interview ahain or take additional rounds
But someone i know last year
Got NG swe and requested to change to an ml oriented role
And then he had a different interview loop than others
post-offer correct?
We only spoke briefly and I dont remember qho it is was, but maybe worth asking in your case
also gl to u2
cartesia mogs
yes sort of. they are more adjacent terms but describing the difference feels like being that kid who's going "umm ackshually 🤓 "
basically alignment is the idea of aligning ai decision making and desires to the large goals and values of humanity.
safety is more to prevent the misuse and harmful outcomes of AI.
they have quite a bit of overlap but functionally appear in some different ways
alignment work may care more for policy, governance, interpretability
safety may care for these things as well but safety when applied looks more like guardrails, evals, jailbreaking
so i would say alignment is a broader holistic approach to solving and integrating ai with humans, whereas safety is more concerned with the short and long term risks of ai, and mitigating that
@potent shell is it cool if i dm u ? nws if not
yea fs
dmd, thx bro
Ngl if you’re cracked enough to get open ai and Cartesia as a new grad
It doesn’t matter where u go
Go with the one u like more
it's worth it tbh
i like my current spot 😭
recruiter quotes 260 base which is nice but unless equity is 150+ per year idk if it's worth
Are you already working in AI?
no
external or internal rec?
yea eq is not that high
or at least for ng hire
@potent shell did u make a decision?
He took cartesia
what 💀
Was the better choice for sure
Research >>>
Names don’t really matter for ai labs they care more about relevant exp and output
Either way cartesia over oai is kinda crazy ngl but whatevs
Its really not
Dev work at oai isn’t as relevant to his career vs research at a top ai lab
ye
esp once u get into the realm of names that r respected
which cartesia def is
uhh cartesia isn't a top ai lab. i think you're thinking of eleven labs
Huh
crazy work...