some ivy league grad with no real world dev experience waved this on
Once Chinese ai can run on 50k priced GPUs and match current models, people will have these running from bunkers. There’s no stopping it
this is a short term problem, over 20 years benchmark gaming will be a blip
theres no budget constraints for AGI
yeah but I think you may be underestimating the amount of capital available for compute. if AGI is possible through some 5 trillion of expenditure on computers, there will be money for it. also, you are underestimating…
these just need more compute: - earn $100: easy to verify, hard to learn - increase paid subscriptions in an A/B test: easy to verify, hard to learn but we both know these examples go against the spirit of my point
Anything you can verify to be right or wrong can be done by a model. All benchmarks will be saturated
People have, they arent putting them up for sale. Its the same with AI sales systems, if they work, they are worth far more than what they can be sold for as a product.
Thought I read elsewhere that if these get dirty they are essentially blowing dirty water into your gums, which can cause health problems tools like this almost need the same level of sanitization you would see at the…
AWS is good at operations, i.e. running something like S3 at massive scale. Or SQS, ddb, etc. High surface area for distributed systems, but low surface area for user experience. Once you add in product decision making,…
These are temporary visas
yeah a lot of uneducated analysis was off, but it was still very thought provoking and jarring to my earlier world view. it depends on which chapters/sections though, some are more accessible than others. one book I…
I had a similar experience, but I think a lot of other modern philosophy is really pedantic and builds upon a thousand years of writings. So its very hard to follow without proper academic study or understanding what…
I meant orchestrated in a subversive way
you can run open source models in the privacy of your own home :)
Far more things/movements are orchestrated than are organic. This is to me one of the most surprising things I have learned as I got older.
Does IPFS actually have users? I remeber when they raised 270 million and a bunch of people there got wildly wealthy
Idk I never worry about it
the code quality is higher though, so the value compounds. i dont need to watch as closely to what its doing, so its more autonomous
im using fable almost exclusively, i just buy a new 200$ license if i run out of capacity. its so much better, easily worth it given how much work I get done. I built a code, deploy, e2e test loop with my full aws…
instagram growth rate != core service team in instagram growth rate
its probably happened on half the core teams, idk what you want me to say, it sounds like you dont have alot of experience
ive spent 15 years in big tech companies, this problem is common and its why they pay engineers 500k-1M. this happens at meta literally all the time. half of engineering in big tech is just rewriting a system to scale…
im not buying that github is a unique engineering problem, harder than the rest of hyperscalars.
AWS saw this growth every year for two decades, hyper growth tech sees it all the time
some ivy league grad with no real world dev experience waved this on
Once Chinese ai can run on 50k priced GPUs and match current models, people will have these running from bunkers. There’s no stopping it
this is a short term problem, over 20 years benchmark gaming will be a blip
theres no budget constraints for AGI
yeah but I think you may be underestimating the amount of capital available for compute. if AGI is possible through some 5 trillion of expenditure on computers, there will be money for it. also, you are underestimating…
these just need more compute: - earn $100: easy to verify, hard to learn - increase paid subscriptions in an A/B test: easy to verify, hard to learn but we both know these examples go against the spirit of my point
Anything you can verify to be right or wrong can be done by a model. All benchmarks will be saturated
People have, they arent putting them up for sale. Its the same with AI sales systems, if they work, they are worth far more than what they can be sold for as a product.
Thought I read elsewhere that if these get dirty they are essentially blowing dirty water into your gums, which can cause health problems tools like this almost need the same level of sanitization you would see at the…
AWS is good at operations, i.e. running something like S3 at massive scale. Or SQS, ddb, etc. High surface area for distributed systems, but low surface area for user experience. Once you add in product decision making,…
These are temporary visas
yeah a lot of uneducated analysis was off, but it was still very thought provoking and jarring to my earlier world view. it depends on which chapters/sections though, some are more accessible than others. one book I…
I had a similar experience, but I think a lot of other modern philosophy is really pedantic and builds upon a thousand years of writings. So its very hard to follow without proper academic study or understanding what…
I meant orchestrated in a subversive way
you can run open source models in the privacy of your own home :)
Far more things/movements are orchestrated than are organic. This is to me one of the most surprising things I have learned as I got older.
Does IPFS actually have users? I remeber when they raised 270 million and a bunch of people there got wildly wealthy
Idk I never worry about it
the code quality is higher though, so the value compounds. i dont need to watch as closely to what its doing, so its more autonomous
im using fable almost exclusively, i just buy a new 200$ license if i run out of capacity. its so much better, easily worth it given how much work I get done. I built a code, deploy, e2e test loop with my full aws…
instagram growth rate != core service team in instagram growth rate
its probably happened on half the core teams, idk what you want me to say, it sounds like you dont have alot of experience
ive spent 15 years in big tech companies, this problem is common and its why they pay engineers 500k-1M. this happens at meta literally all the time. half of engineering in big tech is just rewriting a system to scale…
im not buying that github is a unique engineering problem, harder than the rest of hyperscalars.
AWS saw this growth every year for two decades, hyper growth tech sees it all the time