Recent comments in /f/technology

Graega t1_j8i50tw wrote

Call me when it has to study ahead of time, using a single text instead of being fed huge amounts of sources; has to identify what to store in a limited size database; and has to take the test without any internet access or ability to look up things behind what it decided to store. I'll be impressed if it passes then.

7

Darkstar_k t1_j8i32p6 wrote

You think 240,000k is a lot, but obviously the employees don’t. They are adept enough to understand profit margins. They negotiated for their position - you should realize that they are at the top of their field, globally.

Don’t take my word for it - look at the article. She abandoned ship. She was likely banking 1m total comp yearly.

Can you see the whole picture now? Do you see the pattern? Company is successful, company sells out to shareholders, product tanks, company finds niche or sells. The only ones who win long term are the shareholders.

Apply game theory and stop parroting corporate-speak and you might find your own path to wealth.

0

BeKind_BeTheChange t1_j8i1t38 wrote

All of these shopping and delivery businesses have two things in common- The customers and the business owners are lazy schlubs who want someone else to do the heavy lifting. Get off of your butt and go shopping for yourself. Get off of your butt and go pick your food up. Quit using these garbage businesses and then complaining that they are garbage.

−4

Lionfyst t1_j8i1477 wrote

A recent paper (around Reddit somewhere) demonstrated that LLM's can do all these novel things like tell stories, or make poems, or do math or make charts despite a lack of implicit design, because the massive training organically creates all kind of sub-models in their network that can handle those types of patterns.

ChatGPT is bad at math because it's training was insufficient to give it a model that is reliable.

It's not going to be too long before someone feeds a LLM with better math training, and/or creates a hybrid that uses some other kind of technique for the math part and hands off math questions to the other engine.

41

1800TurdFerguson t1_j8hxjxb wrote

It's not. It's all a massive wealth redistribution scam. They run these services at a loss using venture money and promising unrealistic compensation while they build scale. When faced with the end of venture subsidization of whatever "*disruption*" they're providing, they squeeze everybody a little bit, but workers the most. They can't afford to alienate too many customers if they want to walk away from that sweet, sweet IPO money, and workers have less power than anyone involved in the value chain.

8