For me, being in office would add nothing, because my team is split between two cities, and if i ask a question outside of my team its highly likely we're talking about crossing oceans.
Like anything, its about communication
1,048 karma · joined February 10, 2022
For me, being in office would add nothing, because my team is split between two cities, and if i ask a question outside of my team its highly likely we're talking about crossing oceans.
Like anything, its about communication
I’m not sure I understand this viewpoint at all.
The board just firing off half-cocked and then going silent is probably a larger source the issues for employees than altman the person/leader. There is effectively nobody in the driver seat and the board can't be trusted to do anything in the best interests of the company.
We are going to have to learn to live with AI advancements no matter what and probably do what we can to ensure it is regulated.
Nothing could possibly weaken their position more than the last 72 hours
You have to now invent a way to serve this at scale.
You do care about safety by default, so you employ people for that.
You need a team to market and design the products.
You have an api and you’re working on additional things like API hooks to call into services, which actually involves more models.
Now you have all of the standard web app at massive scale issues. You need to design, implement, and serve a frontend as well as the api.
You need a sales team to build relationships with enterprises and startups etc etc. you need a billing team.
Don’t forget about whisper, TTS, dalle etc. you need to do this for all of those as well!
You’re also doing this faster and better than the rest of the industry.
You also need lawyers, office staff, support, etc.
To start, he would’ve coasted at the easiest job on the planet.
If you're going to speak so abstractly you really lose the forest for the trees IMO. I do like the murder mystery example
But to boil it down to autocomplete is just totally disingenuous.
You could also look at this as a brilliant scientist feels he doesn’t get recognition. Always sees Sam’s name. Resents it. The more gregarious people always getting the glory. Thinks he doesn’t need them and wants to settle some score that only exists in his own head.
Loyalty, appreciation, liking… is a spectrum. Loyalty doesn’t have one trumpish definition.
My view of the world, and how the general structure is where I work:
ML is ml. There is a slew of really complex things that aren’t just model related (ml infra is a monster), but model training and inference are the focus.
Backend: building services used by other backend teams or maybe used by the frontend directly.
Data eng: building data pipelines. A lot of overlap with backend some days.
Frontend: you spend most of the day working on web or mobile technology
Others: site reliability, data scientists, infra experts
Common burdens are infrastructure, collaboration across disciplines, etc.
But ML is not backend. It’s one component. It’s very important in most cases, a kitschy bolt on in other cases.
Backend wouldn’t have good models without ML and ML wouldn’t be able to provide models to the world reliably without the other crew members.
The fronted being charts is incorrect unless charts are the offering of the company itself
It sounds to me like the commenter has found a subset of his work which can be sped up significantly with chatGPT and is using that to continue conversations with a potential client. Pretty cool if you ask me.