[solenoid0937]

The article and the AI skepticism crowd on HN read like the blind leading the blind to me.

I'm at a FAANG. My org is moving much more quickly, maybe between 3-10x more quickly than we were pre-AI. We aren't seeing a spike in reliability issues. Things just get done faster. An org as large as mine has no right to move as fast as it does.

[christoph]

I’ve been back through your post history (not entirely) - you mention multiple times you work at a FAANG - so you work at one of 5 very public companies.

You have been asked multiple times by multiple commenters to provide a single example of something that reflects this incredible boost achieved by <massive tech org>, you have ignored every request for this, and I suspect will ignore this one as well. HN is going to die unless we all start calling these constant deceptive practices out. I’ll leave others to parse your history and make their own judgements.

“Judge them by their fruits”

[solenoid0937]

Not going to break NDA and give up our competitive advantage for HN, sorry! I can tell you it's been useful for us, but thinking about how to use it is an exercise left for the reader.

[arkadiytehgraet]

Perfect excuse for avoiding any substance (except no one asked you to give up the advantage or secret sauce of using LLMs, only the end examples of what has been achieved with it). It is also funny how you always leave out the name of the company you allegedly work at. It is perfectly clear why you do that, though: no matter what company you name, its actual employees on HN will quickly disprove all the ridiculous claims you have made regarding LLMs and AI. Keeping the name ambiguous lets you get away with it.

Anyways, solenoid0937 is an LLM-hype peddler and an Anthropic shill, not an actual FAANG-employee. See proof here: https://news.ycombinator.com/item?id=48269250

[array_key_first]

It's highly team dependent. Shortly, the more "coding monkey" the work is, the more velocity you can get with AI. As soon as you need to interface with customers and extract requirements, that becomes the bottleneck.