mikert89

4 ms·

1.
by mikert89 10d ago
As the model gets smarter, you need to tell it less
2.
by mikert89 10d ago
you just have to take the software to a higher level of abstraction... software that builds software. its different, but the tinkering is very much there, its just a massive paradigm shift
3.
by mikert89 10d ago
likely they sold all the gpu capacity to enterprise clients
4.
by mikert89 10d ago
its the opposite, i can build far more and get stuck much less
5.
by mikert89 11d ago
I think Java took all the best features of kotlin
6.
by mikert89 11d ago
When you’ll have tons of low skilled devs contributing to an important but boring application that will last a while
7.
by mikert89 12d ago
theres also a decent chance that AWS itself is vulnerable to AI agents that dont need complicated cloud platforms the way humans do
8.
by mikert89 22d ago
some ivy league grad with no real world dev experience waved this on
9.
by mikert89 22d 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
10.
by mikert89 22d ago
this is a short term problem, over 20 years benchmark gaming will be a blip
11.
by mikert89 23d ago
theres no budget constraints for AGI
12.
by mikert89 23d 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
13.
by mikert89 23d 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
14.
by mikert89 23d ago
Anything you can verify to be right or wrong can be done by a model. All benchmarks will be saturated
15.
by mikert89 23d 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.
16.
by mikert89 24d 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
17.
by mikert89 29d 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
18.
by mikert89 1mo ago
These are temporary visas
19.
by mikert89 1mo 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
20.
by mikert89 1mo 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
21.
by mikert89 1mo ago
I meant orchestrated in a subversive way
22.
by mikert89 1mo ago
you can run open source models in the privacy of your own home :)
23.
by mikert89 1mo 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.
24.
by mikert89 1mo ago
Does IPFS actually have users? I remeber when they raised 270 million and a bunch of people there got wildly wealthy
25.
by mikert89 1mo ago
Idk I never worry about it
26.
by mikert89 1mo 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
27.
by mikert89 1mo 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
28.
by mikert89 1mo ago
instagram growth rate != core service team in instagram growth rate
29.
by mikert89 1mo 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
30.
by mikert89 1mo 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

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