https://www.seangoedecke.com/ai-inference-is-obviously-profi... https://www.mindstudio.ai/blog/anthropic-inference-margins-7... its even higher depending on the model, how optimized it is, and the chips! I wouldnt die…
serving models is very profitable (70%+) but the issue is you need to invest in training the next iteration. but so far all of anthropics models have been profitable fully loaded the vast majority of the labs revenue is…
Why are we using consumer prices when the vast majority of their revenue is from enterprise api usage?
if you're going by anecdata, myself and a few of my colleagues (senior ics) switched jobs relatively easily for a solid pay increase within the last year. definitely easier than post-covid engineering (hardware,…
unironically the second scenario sounds better
I think this is Jevon's paradox playing out in full force, and I'm quite confident we'll continue to see the growth in well paid STEM jobs despite the anecdata in this thread (anecdotally my group of ICs on tech have…
large parts of ai research likely to be automated first most swes don't work in jobs where they only work on bounded measurable tasks. there will probably be more "engineers" than ever
i mean the meta point is having "AI skills" is understanding the jagged frontier and operating accordingly Given that we can keep making infinite abstractions with software if we actually saturate software demand with…
To be clear, I think young people need to learn traditional software engineering skills too. A junior with no foundational SWE skills will just become a meat wrapper. But thinking more about it I wouldn't discredit…
You'd be surprised, I used to do a first round technical screen where we let the interviewee use any ai tool they want to build a simple api (and they can oneshot the problem if they just pasted it into any capable…
- knowing what to prompt - directing the model and knowing when its going off the rails - verification - setting up the right loops, harness, graphs around the models economics still apply to hiring people. if all your…
we should exercise critical thinking then heaps of people on this site expect them to be omnipotent then claim it’s fake when it doesn’t read minds
I think what a lot of people miss about jevon's paradox is the elasticity of demand of the underlying resource textiles had jevons paradox, and many more textile workers were employed even when textile machines were…
You're right, computers are definitely the same speed as they were 20 years ago.
Should be easy to build a competitor in a week, pitch to some VCs then have them kingmake you to a $1B exit to another portco then!
You can go ahead and build it then, then sell it for only $100M to a competitor. Should be easy peasy
you can just state things without reading the article nowadays!
wonder how much of the ai CX hate is availability bias where people really notice it when it breaks but you never see the whole picture on total impact it seems very implementation dependant, I know a startup with…
I used to think this was true until my company adopted a similar process, and the amount of very senior candidates who used it very ineffectively was highly surprising (eg staff candidate only using the default Google…
but you can keep asking questions ad infinitum very nontrivial problem knowing when to stop and making assumptions
intelligence is not omniscience though
gotta make it less obvious
it was terrible for weavers it was great for workers around the world who now can afford clothes
I think a lot of people who grew up in developing countries or low income neighbourhoods adopt this perspective (I did both)
having goals above financial well being is a luxury belief
https://www.seangoedecke.com/ai-inference-is-obviously-profi... https://www.mindstudio.ai/blog/anthropic-inference-margins-7... its even higher depending on the model, how optimized it is, and the chips! I wouldnt die…
serving models is very profitable (70%+) but the issue is you need to invest in training the next iteration. but so far all of anthropics models have been profitable fully loaded the vast majority of the labs revenue is…
Why are we using consumer prices when the vast majority of their revenue is from enterprise api usage?
if you're going by anecdata, myself and a few of my colleagues (senior ics) switched jobs relatively easily for a solid pay increase within the last year. definitely easier than post-covid engineering (hardware,…
unironically the second scenario sounds better
I think this is Jevon's paradox playing out in full force, and I'm quite confident we'll continue to see the growth in well paid STEM jobs despite the anecdata in this thread (anecdotally my group of ICs on tech have…
large parts of ai research likely to be automated first most swes don't work in jobs where they only work on bounded measurable tasks. there will probably be more "engineers" than ever
i mean the meta point is having "AI skills" is understanding the jagged frontier and operating accordingly Given that we can keep making infinite abstractions with software if we actually saturate software demand with…
To be clear, I think young people need to learn traditional software engineering skills too. A junior with no foundational SWE skills will just become a meat wrapper. But thinking more about it I wouldn't discredit…
You'd be surprised, I used to do a first round technical screen where we let the interviewee use any ai tool they want to build a simple api (and they can oneshot the problem if they just pasted it into any capable…
- knowing what to prompt - directing the model and knowing when its going off the rails - verification - setting up the right loops, harness, graphs around the models economics still apply to hiring people. if all your…
we should exercise critical thinking then heaps of people on this site expect them to be omnipotent then claim it’s fake when it doesn’t read minds
I think what a lot of people miss about jevon's paradox is the elasticity of demand of the underlying resource textiles had jevons paradox, and many more textile workers were employed even when textile machines were…
You're right, computers are definitely the same speed as they were 20 years ago.
Should be easy to build a competitor in a week, pitch to some VCs then have them kingmake you to a $1B exit to another portco then!
You can go ahead and build it then, then sell it for only $100M to a competitor. Should be easy peasy
you can just state things without reading the article nowadays!
wonder how much of the ai CX hate is availability bias where people really notice it when it breaks but you never see the whole picture on total impact it seems very implementation dependant, I know a startup with…
I used to think this was true until my company adopted a similar process, and the amount of very senior candidates who used it very ineffectively was highly surprising (eg staff candidate only using the default Google…
but you can keep asking questions ad infinitum very nontrivial problem knowing when to stop and making assumptions
intelligence is not omniscience though
gotta make it less obvious
it was terrible for weavers it was great for workers around the world who now can afford clothes
I think a lot of people who grew up in developing countries or low income neighbourhoods adopt this perspective (I did both)
having goals above financial well being is a luxury belief