Is 200 Megawatts for 2 hours the same as 400 Megawatt Hours? Or is the 2 hour unit significant in some way?

This conversation discusses concerns and opinions about the use of generative models and chatbots for summarizing large text documents. The initial post by Davide Marney expresses skepticism about generative models, stating that they can be easily manipulated to present a specific narrative, potentially leading to propaganda. A response suggests that bias in generative models is due to the training set, not necessarily intentional propaganda.

The discussion delves into the reliability of generative models, with some expressing reservations about trusting their output over human judgment. The conversation then shifts to the potential consequences of relying on such technology, particularly in education, where it may lead to a generation of individuals who struggle to understand longer texts or conduct in-depth research.

Some participants express concerns about the impact on document review processes, highlighting potential misunderstandings and misinterpretations that could arise from relying on AI-generated summaries. The use of AI in scanning and summarizing large documents, such as contracts and policy documentation, is criticized for enabling laziness and reducing the quality of understanding.

The term "document experience" is questioned and criticized as unnecessary jargon. There are also concerns about the potential "dumbing down" of future generations and the outsourcing of cognitive abilities to AI systems. Some participants acknowledge that, in specific use cases, AI-generated summaries could be useful for quickly extracting relevant information from lengthy documents. However, others caution against expecting generative models to consistently provide accurate and contextually relevant results.

Overall, the conversation reflects a mix of skepticism, criticism, and cautious optimism regarding the application of generative models for document summarization.

Agreed. I found https://sh.itjust.works/c/spac... to be a great alternative to both https://www.reddit.com/r/space... and https://www.reddit.com/r/Space...

One of the ways is to use the layer tag: https://wiki.openstreetmap.org... For buildings the level tag is often used: https://wiki.openstreetmap.org...

The big news here is that the continental United States is circular. I never knew that.

For many people this would be a nice solution. But for some, those in Japan, Australia, etc the *date* would change in the middle of their day. I think they might find that to be a difficult concept to grasp.
Perhaps UTC for most and UTC+12 for the rest might be workable.

Is that 11cm per Earth year or 11cm per Saturnian year?

They're made out of Meat by Terry Bisson

That's what OpenStreetMap is all about: http://openstreetmap.org/ Crowdsourced mapping combined with an open license produces free, high quality mapping that can be very detailed and very up-to-date.

There's a choice of about 50 different models here: http://wiki.openstreetmap.org/wiki/GPS_Reviews It all depends on whether you want to contribute content to OpenStreetMap or just use the maps, or ideally both.