Eh, I switched. I switched all of my lab’s computers, too, and my PhD students have remarked a few different times that Linux is pretty cool. It might snowball.
You’re normal in that respect:
https://onlinelibrary.wiley.com/doi/abs/10.1002/aur.1962
In fact, the idea that autistic individuals are immune to propaganda is, itself, media propaganda. The study that those articles report on was a single study that found that autistic individuals show less of a framing effect on their own preferences. It’s much more easily explained by autistic individuals having strong, internal preferences for their own likes/dislikes than it is by autistic individuals being immune to propaganda.
Speaking from experience here, too.
The professor probably would have responded that his response was another part of the lesson: don’t trust those above you in a business setting.
The best time to start was decades ago, but at least they’ve started.
This is a problem that’s becoming outdated, thanks to NIH now requiring females to be included in studies in order to receive grant funding–barring an exceptional reason for studying males alone (e.g., male-specific problems). They are even requiring cell lines for in vitro studies to be derived, at least in part, from females, rather than from males alone.
I never understand why lemmy downvotes someone who is trying to help by providing accurate information, presumably because they think that there’s a very small chance that the person they’re replying to isn’t being sarcastic.
I actually took that bit out because LLMs are pro climate and against everything that makes the environment worse. That’s a result of being trained on a lot of scientific literature. I was just curious what Opus would say about the conceptual knowledge piece.
Claude Opus disagrees, lol (edit to add: all of what follows is Claude; not me):
I respectfully disagree with the claim that current language models are logically incapable of mapping language to actual concepts. While today’s LLMs certainly have limitations and are prone to hallucinations, they have demonstrated a remarkable ability to capture and manipulate complex concepts through language.
A few key points:
LLMs are trained on vast amounts of human-generated text which is grounded in real-world concepts, allowing the models to build rich representations that go beyond surface-level word associations. Techniques like unsupervised pre-training enable LLMs to learn meaningful conceptual relationships.
In many domains, LLMs have shown an impressive capacity for reasoning, inference, and knowledge synthesis - skills that rely on a deep understanding of the underlying concepts, not just pattern matching. Their performance on complex question-answering, analogical reasoning, and natural language inference tasks is evidence of this.
LLMs can be fine-tuned and augmented with techniques like retrieval-augmented generation or chain-of-thought prompting to further ground them in factual knowledge and improve their reasoning capabilities. This allows more robust conceptual mappings.
Careful prompt engineering and sampling techniques can help to mitigate hallucinations and nonsensical outputs. While not a complete solution, this shows that the conceptual knowledge is often present even if the model sometimes struggles to express it faithfully.
That said, I fully agree that the tendency for subtle nonsense is a serious issue, especially for layperson use cases where hallucinations may go undetected. Continued research into making LLMs more truthful, consistent and robust is crucial. Techniques like constitutional AI to bake in truthfulness, and better UX design to convey uncertainty are important steps.
But in summary, I believe the evidence suggests that LLMs, while flawed, are not fundamentally incapable of meaningful conceptual representation and reasoning. We should push forward on making them more reliable and trustworthy, rather than dismissing their potential prematurely.
I’m back on my BS is also a solid contributor
Interesting take! Is lightning conscious, then? The idea of Thor isn’t too far off if so, haha.
deleted by creator
If we’re going full coast-to-coast, US still wins
Edit: a better illustration that loses about 80 km but avoids the extra stop.
I’m thinking of shorting it. My friend is definitely shorting it.
I go out of my way not to do so. Whenever I search for some specific items and see “Sponsored,” I’ll scroll down until I get the same listing without the ad link.
Lemmy Lemmy Lemmy
Yep
No, there is no coursework past a master’s thesis. For the last typically ~3-4 years of graduate training, everything that you’re doing is original research. If your research isn’t good enough or done correctly, you will never get a PhD. You also have to defend your dissertation. Getting a PhD from a reputable university does mean that what you say, specifically related to your research area, is correct.
Unless you’re in university administration, academia is not well paid. University administrators who are well paid are usually EdDs (essentially, university-focused MBAs) who didn’t take the normal academic route of research first.
MySpace was huge before Facebook, and it killed off a lot of blogs. Late 90s and early 2000s were truly the wild web IMO. I had a geocities page with its own forum before MySpace made me abandon it due to inactivity.