This paper wasn't for SKILLS per se, but for LLMs, and suggests that LLMs can't follow too many constraints at one time very well https://arxiv.org/abs/2608.12426 . Other papers suggest that LLMs show more information sparsity in the results with negative constraints.
From a couple cursory convos with AI chatbots without stratifying by age group of the first node, it looks like the average number of hops in the social network would be around 1.7 to 2 hops (just counting those who knew someone killed immediately on 9-11). But the average number of hops probably has a bimodal distribution depending on whether the first person has a lot of people in their social newtwork from either NYC or Washington, DC area.
About one in five of the people who were alive on 9-11 would have died by now.
But my original question is about the average number of hops in the social network of everyone alive today (in the U.S.), which would include people born after 9-11. I would have made my original title longer but HN seems to have a limit on the number of characters in the title.
It is fairly meaningless for him to say this as there is not even a generally accepted definition of AGI, so anyone can make any type of statement that is not falsifiable.
I don't understand why the Chrome store says that your extension collects the
following data - this seems like it would be a security problem to anyone using your app?
Authentication information
For example: passwords, credentials, security question, or personal identification number (PIN)
The roofline chart on page 63 has some problems. The X and Y axis are not labeled with units such as "FLOP/byte." Also, proper roofline charts don't have the dashed line that the chart on page 63 has - they have a only flat line on the right part of the graph and that is why they are called a "roofline chart" - see the examples in the paper: https://arxiv.org/pdf/2506.05871 . I'm a bit confused also about why that roofline chart does not show the effects of different levels of quantization on the roofline max thruput, which would successively climb the performance axis to higher levels as you went from FP16 to INT8 to INT4. Also, I don't really follow the discussion on page 64 and following pages as it doesn't discuss the affects of quantization on max thruput as it appears that the paper cited on page 64 was before the use of quantization really took off?
The general directories I have found are mostly just compilations of forums rather than curated lists listing just the best ones. You best bet to search for them would be looking for "awesome"-type resource compilations for the particular niche you are interested in, and then seeing if that list has an entry for "Forums" under its resources.
You need to identify your use cases first to see if it even makes any economic sense to bring in some kind of mass AI and also have your legal dept. look over any issues that arise with AI use, especially if you work in a regulated industry of some kind like healthcare or finance.
Two very different movies were made about this book: "Charly" starring Cliff Robertson and "Flowers for Algernon" starring Matthew Modine. The movies were made years apart and have very different vibes for the way that Charlie Gordon was portrayed reflecting different philosophies of acting at the times they were made. Cliff Robertson won an Oscar for his portrayal of Charlie Gordon.
This looks very useful - thanks. I have an idea. What about making your tags clickable topics that can act as search filters and be explored. For example, in the Pulse section what if you made "professor" listed after a person's name a clickable weblink that would filter the Pulse section to just show entries for people who fit the "professor" tag, etc.?
Could you do an ELI5 explanation of the network and harness setup for this? Is this some kind of AI agents on the blockchain implementation? Or is it something more like a CLAW type setup like MOLTBOOK?
Giving away or offering lower cost AI models help keep users in the Google ecosystem, which is very financially lucrative for Google with its ad sales related to its search engine.
Discord tech support and that for many software vendors is a joke - it is usually DIY support or talking to some lame AI chatbot or them telling you to read the FAQ.