applebusch (she/her)

  • 0 posts
  • 3 comments
Joined 2 years ago
Cake day: November 11th, 2024
  • i can see that youve had some coolaid. i hope you can stop drinking and start recovering. a lot of what you said is gibberish, but throwing more data at machine learning models has been shown to result in diminishing returns, and doesnt change that the technology is inherently fallible. it might get very close to 100% reliable, but the hallucination problem will never fully go away. thats not the end of the world, but it requires machine learning algorithms to be paired with more deterministic tools to be sure of results. it happens with our own brains too, which is part of why we invented math and computers in the first place.

  • the greatest power of machine learning algorithms is the source of its greatest drawback. they are essentially heuristic models of something, constructed in a way that they are much cheaper to execute than a traditional algorithmic approach. this cheapness results in error, which for a lot of applications is fine because you can refine/check the result with more accurate tools, but it also means you can never just trust it like you can with more traditional tools. this problem is baked into the technology so theres no amount of scale that will make it go away, as we’ve seen time and again with LLMs. failing to understand this is the mistake most people make when it comes to “AI”, and results in all kinds of bad decision making. but in the hands of people who understand the limitations, machine learning can truly be a game changing technology. not chatbots though those are fucking stupid and i hope they go away when the bubble bursts.