fathrowaway12

4 ms·

1.
by fathrowaway12 4y ago
It's very good at iterating from a description to working code. You still need to know what you're doing, but it can handle a lot of details. prompt: How would you design a distributed key value storage system? Assume the valu
2.
by fathrowaway12 4y ago
It is not just regurgitating. It is synthesizing . You can ask it to update its answers. You can ask it to evaluate possible solutions, then write the code for one of the solutions. Then write the code to test the code. And so on. It turns
3.
by fathrowaway12 4y ago
Same as you would with your own code. You review it, ask GPT to write tests, and then tweak it. The difference is that now, you are more of a code reviewer and editor. You don't have to sit there and figure out the library interface an
4.
by fathrowaway12 4y ago
Indeed. It's ability to consider different situations and craft context-aware answers is quite incredible. Some prompts that yielded interesting results; - Assume I am a time traveller from 1900. Explain to me what the internet is
5.
by fathrowaway12 4y ago
prompt: show an example of the results for the query "Seattle ferry" 1. Washington State Ferries - Official Site https://www.wsdot.wa.gov/Ferries 2. Seattle Ferries | Visit Seattle https://www
6.
by fathrowaway12 4y ago
Here's a few: - Implement a simple ray tracer in C++ using opengl. Provide compilation instructions for macos. - Create a two layer fully connected neural network with a softmax activation function. Use pytorch. - Implement the
7.
by fathrowaway12 4y ago
It really is amazing. Things it did in less than 10 seconds from hitting enter: - opengl raytracer with compilation instructions for macos - tictactoe in 3D - bitorrent peer handshake in Go from a paragraph in the RFC - http serve
8.
by fathrowaway12 4y ago
chatgpt solved a little accounting data problem for me. A relative wants to automatically classify credit card expenses and import them into quickbooks. Should be super easy, you would think. chatgpt printed out the exact steps to get the t
9.
by fathrowaway12 4y ago
You'll still need engineers. But how many? Before: a few really knowledgeable/good ones and a lot of OK ones A few years from now: a few really good ones What does this mean for the labor economics? Do we reap the results of incre
10.
by fathrowaway12 4y ago
Seems like there's plenty, but a lot of em' are already gainfully employed by Google, MSFT, FB and co.
11.
by fathrowaway12 4y ago
It's not _that_ complicated these days. structs, classes strings, vectors, hash maps, unique_ptr, references, non-owning pointers where it makes sense, basic templates. Boom. You also need basics like ownership, order of construction&#
12.
by fathrowaway12 4y ago
Up (series) which follows the lives of 14 British people from different backgrounds over 50 years. https://en.wikipedia.org/wiki/Up_(film_series)
13.
by fathrowaway12 4y ago
They interview people from everywhere. Literally everywhere. They basically have tapped the whole market worth of talent. You might not get an interview at any given company in a particular year, but you should be able to get some interview
14.
by fathrowaway12 4y ago
In addition to a surplus of great people, they have lots of mediocre people too, just like everywhere else. There may have been a time where this wasn't true, but now anyone who passes a day of tricky tech interviews is in, and that do
15.
by fathrowaway12 4y ago
I have been working for about 4.5 years now across 3 big tech companies (Google included). I would consider myself a hardworking and ambitious person who loves computer science. I graduated top of my class at a state school. I've gotte