That's not always the case, I'm working from my own machine at my current job. But even when you work on company owned computers, you can always connect with people out of band using your phone, etc. I never use work channels to talk about non work things, but if I hit it off with coworkers then we just find a chat platform we both use and connect there.
I think it's because people connect online, so you no longer have to be physically present in the same space.
Yeah, I might try doing that if I get a bit of energy. Cause some of this stuff is obvious in retrospect, but it took me a while to realize to do these things.
Oh yeah, I was referring to billions of params there. And if you want to use a hosted model to play with it, I would recommend DeepSeek, their pricing is great and I've found it gets pretty decent results. The way I'd recommend using it would be through crush or a similar tool. It's a very different experience from using it in a web chat for example and asking it to come up with code.
And yeah, the better the model is at getting stuff right on the first try the less hand holding you need to do. There are also some tricks I found that can help. One thing I get the model to do is to write a plan in markdown for the steps it's going to do. In particular, you can get it to generate a mermaidjs diagram, then inspect it visually, and then tell it change step x to do blah. Another thing you can do is write the scaffolding by hand, like making the file structure you want, put in function stubs, and then have the LLM start filling in the blanks. It's a really great way to focus it so it doesn't try to get creative. My general experience is that they're good at implementing tasks that are focused and well defined, but if you let them get creative then they can go off track really fast. Another thing I found is that if it doesn't get the solution mostly right on the first shot, it's unlikely to converge on a good solution. It will not rethink the problem, but will simply attempt to add kludges to address the specific issues you point out. So, you're better off to just start from scratch and try to reframe the problem statement.
It's important to keep in mind that it's a tool you have to spend some time learning the behaviors of, and how to get the most out of it.
I did more digging and here are some more sources
The findings look to be based on data from a long-term study that tracked 375 Australian adults using fitness trackers starting in 2019, which provided a baseline of data from before the pandemic https://academic.oup.com/abm/article/58/4/286/7613320
And here's one of the specific papers published from the ARIA data. It analyzes the direct impact of the initial COVID-19 lockdowns and is the source of the "extra sleep" finding. https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0248008
we'll probably find out in a year or so
I'm not denying anything here. In fact, I've repeatedly stated that we're locked into terrible things happening. Of course, lacking even a shred of intellectual integrity, you choose to ignore what I actually say. Meanwhile, you've already admitted that you're not a scientist and you're just some clueless bozo ropleplaying being an expert. Amazing that you expect people to take your seriously.
Anyways, I'm done with this. Enjoy having the last word that you so desperately need.
You cannot possibly make a constructive criticism to save your life can you?
I've described the actual mitigation strategy. Building resilience at local level which includes doing local energy and food production in a way that buffers against extreme weather. People like Peter Watts talk about specifics of what this would look like https://thereader.mitpress.mit.edu/the-collapse-is-coming-will-humanity-adapt/
Despite all the moaning you've done here, you haven't actually made a single coherent or substantial criticism of anything I said. All you've done is make vague and hand wavy claims while openly admitting that you're not a scientist and you have no actual clue while pretending to be some sort of an authority on the subject.
indeed