all that OCAML we only hire the smartest is often a veil for what is really a simpler operation that is borderline illegal. probably alot of employees dont even really understand the systems they work on
I know someone that made 10 million a year for a long time on wall street. They said, generally you can assume anyone making a large amount of money is a criminal. Any large deviations from the typical returns you would see in an asset class was suspicious
Amazon has a document writing culture, all of those documents will be written by AI. People have built careers on writing documents. Same with operations, its all about audit logs. Internally, there are MCPs that have already automated TPMs/PMs/Oncall/maintenance coding. Some orgs in AWS are 90% foreign, there is fear about losing visa status and going back, the automation is just beginning. Sonnet 4 felt like the first time MCPs could actually be used to automate work.
A region expansion scoping project in AWS that required detailed design and inspection of tens of code bases was done in a day, it would usually require two or three weeks of design work.
The automation is real, and the higher are ups are directly monitoring token usage in their org, and pushing senior engineers to increase Q/token usage metrics among low level engineers. Most orgs have a no backfill policy for engineers leaving, they are supplimenting staffing needs with indian contractors, the expectation being that fewer engineers will be needed in a years time.
Yeah this is odd, I had no idea pro was going to become obsolete? this fast. Pro is still better, but the latency is so slow, the 200$ price tag is no longer worth it
These models always seem great, until you actually use them for real tasks. The reliability goes way down, you cant trust the output like you can with even a lower end model like 4o. The benchmarks aren't capturing some kind of common sense usability metric, where you can trust the model to handle random small amounts of ambiguity in every day real world prompts
I live in NYC and know a ton of founders. its just the facts. people certainly get funded outside the normal background, but probably 70% of early stage funding goes to the same types of people
raising pre-seed venture capital is more similar to getting hired at an investment bank (as an entry level/post mba banker) than it is to starting a company
No hes bad. Very good politician at Google, did some interesting moves with Chrome a long time back. Not a visionary, and they are afraid of ai overtaking google
Yeah they want a canned answer, like they want some standard algorithm for leetcode. You need to be as standard as possible so they can check their boxes
It would be great if every interview was like this. But I see system design, even at top tier companies, to be similar to leetcode. An algorithmic problem with a standard solution, where the interviewer is looking for that standard solution. There is more degrees of freedom, but not really. Interviewers are looking for memorized answers from the same few prep materials.