AI should be only used for activities that Humans can't do. Replacing humans just for reducing cost should be illegal. In fact we should make LLM use illegal for everything that is not at the forefront of scientific / math discoveries.
HN user
byebyetech
That is the reason why Oligarchs and Governments are salivating at AI. To make everyone dependent for a paycheck. Any dystopian fantasy can come true after that.
If people stop using AWS,Azure and GCP the economy would improve by 10%. Using cloud services is a massive waste of money.
I don't know how they are measuring productivity. For me it is insane productivity boost.
Here is how I use it:
1. Investigate issue in the codebase
2. Write unit tests.
3. Quick experiments.
4. Help with terminal commands and one off scripts.
5. Boilerplate code.
6. Work at higher level than language syntax.
7. Avoid wasting time looking for solution on the internet.
Winner takes all model. Hard to compete with apps that are spending millions of dollars a months on ads.
It would be interesting to know who funded this research.
Why would I need FDA approval if I want to use test for myself or friends? Bio hackers do all kinds of experiments with CRISPR technology.
NCAA literally has the slave model and most likely has origins in that mentality. Just like a race horse can't ask for money because it is a property of its owner, student athletes are not any different from NCAA perspective. It is strange to think that such rule existed for so long in the "free" society.
Hopefully this will increase the sweet spot in the VR headsets.
This headline should win the clickbait of the year award.
Could you please elaborate on how it changed your life? I am interested in learning Elixir and wondering if you can give some words of encouragement, assuming it changed your life positively :)
> move to a normal place where you could buy a super nice house in cash and then work remotely.
Can't you do that without doing time in Silicon Valley?
Deep Learning also works on very small data sets by means of embeddings. A large model trained on large data sets can be used as feature extraction tool for training for small data sets.
So what is the meaning of "ML experts" if all they do is trial and loss experiments! Is Math PhD just used for hiring signal rather than actual requirements to do ML projects?
Even working at Google just for 8 months was a resume booster? Don't they ask you why you left in such a short time?
So if USA is producing so much oil why is it not able to pay for things like Healthcare? Presumably oil coming out of the ground is free. Where is that money going?
read "The Design of the UNIX Operating System", read "TCP/IP Illustrated Volume 1"
What? Those are unnecessary details as far as software engineering is concerned.
You need to take a trip to your home country and see conditions of poor people there. You are basically mocking them when you say you are a slave who makes $500k/year. Most people in your home country can't even imagine to make that much in their 10 lifetimes. Have some perspective dude.
Supply of doctors is definitely an important issue. But prices are high not because they can't find doctors. It is high because they have no real competition. When someone is suffering from a heart attack what options do they have than to go to the nearest hospital? Even in non-emergency situations people chose to go to the healthcare provider nearest to them. Also even if we assume people magically able to chose any healthcare provider in the country by teleporting themselves. On what basis they are going to make decision? Prices of healthcare services are opaque and almost secret until they surprise you with 6 figure bill.
That is why i laugh at republicans (Ben Shapiro et al) argument that healthcare competition is what making it the "best" in the world. Don't compare it with restaurant business.
count me in!
Great! just sent you message on LinkedIn :)
I live in Austin too but here no one agrees to pay me more that $40/hour and thats why i am considering moving to Bay Area. What kind/field of work do you do sir?
Thanks for checking.
Sounds interesting.
> after two weeks of training at our office in San Francisco
Do you cover the cost of 2 weeks of stay in San Francisco?
I think current EPA would allow asbestos infused coal plants.
I wish Jeff Bezos can get his head out of his rocket and do something like this with his 100s of billions.
41, learned how useful Anki can be. Started using it recently. Also preparing for whiteboard interviews.
The most important thing product people need to understand is to not treat engineers as mindless robotic resource that you can deploy on any problem and get the output of Code. Engineers are human beings so it makes sense to create environment in which they can do their best. There are human universals like feeling of belonging, job satisfaction, flow, low stress, less chaos, appreciation that can improve team productivity. Wish there was a way to track it in a quantifiable way.
MTV was not watching you interactively. There was no data "dance" between your usage pattern and what shows MTV showed you. There was no Feedback Loop. This is much more sinister than passive consumption of media.
I think technical debt should be called "management debt" because management is the primary source of such debts. Technical debt implies it something engineers forgot to do or were just lazy to do it. While it maybe the case in some places , mostly its Agile/Project planning that lacks any appropriate place for fixing technical debt and refactoring.