25 ms·
We are processing same data for the last 2 years. Inference prices droped like 90 percent in that time (a combination of cheaper models, implicit caching, serv
by chewz 6mo ago
We are processing same data for the last 2 years.
Inference prices droped like 90 percent in that time (a combination of cheaper models, implicit caching, service levels, different providers and other optimizations).
Quality went up. Quantity of results went up. Speed went up.
Service level that we provide to our clients went up massively and justfied better deals. Headcount went down.
What's not to like?
- oeitho 6mo agoThe decline of independent thoughts for one. As people become reliant on LLMs to do their thinking for them and solve all problems that they stumble upon, they become a shell of their previous self. Sadly, this is already happening.
- WarmWash 6mo agoWe'll need to do faux mental work like how we do faux labor work.
- chewz 6mo agoThere is no decline. Human assets were always too expensive to process some additional information. We are simply processing lot more of low signal data. Actually some of our analysts are empowered by the tools at their disposal. Their jobs are safe and necessary. Others were let go. Clients are happy to get fuller picture of their universe, which drives more informed decissions . Everybody wins.
- oeitho 6mo agoYou are free to believe what you want, but what you describe does not match what I’ve seen from society as a whole. I’m just going to leave this here: https://www.media.mit.edu/projects/your-brain-on-chatgpt/overview/#faq-is-it-safe-to-say-that-llms-are-in-essence-making-us-dumber https://www.media.mit.edu/projects/your-brain-on-chatgpt/ove...
- suttontom 6mo agoAre you being satirical?
- bluecheese452 6mo agoThe headcount that went down probably isn’t too thrilled about it.
- chewz 6mo agoYes, probably. But the others gained skills and tools that made their jobs secure.
- bluecheese452 6mo agoRight but the question wasn’t were some people better off. It is what’s not to like?