mikert89

5 ms·

1.
by mikert89 12d ago
some ivy league grad with no real world dev experience waved this on
2.
by mikert89 12d ago
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
3.
by mikert89 12d ago
this is a short term problem, over 20 years benchmark gaming will be a blip
4.
by mikert89 13d ago
theres no budget constraints for AGI
5.
by mikert89 13d ago
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 how short a 10 year t
6.
by mikert89 13d ago
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
7.
by mikert89 13d ago
Anything you can verify to be right or wrong can be done by a model. All benchmarks will be saturated
8.
by mikert89 13d ago
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.
9.
by mikert89 14d ago
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 dentist. other than th
10.
by mikert89 19d ago
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, like how to make the
11.
by mikert89 20d ago
These are temporary visas
12.
by mikert89 22d ago
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 enjoyed is: "T
13.
by mikert89 22d ago
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 its in response to. Nie
14.
by mikert89 22d ago
I meant orchestrated in a subversive way
15.
by mikert89 22d ago
you can run open source models in the privacy of your own home :)
16.
by mikert89 23d ago
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.
17.
by mikert89 23d ago
Does IPFS actually have users? I remeber when they raised 270 million and a bunch of people there got wildly wealthy
18.
by mikert89 24d ago
Idk I never worry about it
19.
by mikert89 24d ago
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
20.
by mikert89 24d ago
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 infra, fable just implemen
21.
by mikert89 25d ago
instagram growth rate != core service team in instagram growth rate
22.
by mikert89 27d ago
its probably happened on half the core teams, idk what you want me to say, it sounds like you dont have alot of experience
23.
by mikert89 27d ago
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 microsoft is incompete
24.
by mikert89 27d ago
im not buying that github is a unique engineering problem, harder than the rest of hyperscalars.
25.
by mikert89 27d ago
AWS saw this growth every year for two decades, hyper growth tech sees it all the time
26.
by mikert89 27d ago
cloud providers and hyper growth tech deal with these growth rates all the time
27.
by mikert89 27d ago
this is common at AWS/cloud providers
28.
by mikert89 27d ago
alot of distributed systems in big companies grow at this rate, its not exponential, its mundane
29.
by mikert89 28d ago
The biggest for me is diet by far, I cook every meal. If I have a stretch of going into the office, I end up eating slop, which kills my energy levels
30.
by mikert89 28d ago
Its not just the time, its the energy expended.

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