Don't you think that isolating people in poor conditions amongst hardened criminals might make them more likely to commit crime when they get released?
It seems like the astroturfing accounts are managed (perhaps by humans, perhaps by advanced AI) for quite a while before being used. So they won't look like new or 'thin' accounts and will have reasonable looking posts across different subreddits.
I know right? Nethack is notoriously hard for humans, and deep learning bots up to now have been pretty poor. It surprised me that a relatively simple harness with access to spoilers and source was sufficient for the system to ascend in only 3 attempts without lots of RL optimization. Astra must be a really powerful model. I wonder what the smallest model that can reliably ascend looks like.
Given we can write the documents in LLMs and summarise/explain the documents with LLMs one would hope we would go back to written documents instead of videos now.
Instead we've worked out how to get the LLM to make videos.
People are bad at writing clearly what a new startup or product actually does. A video is a richer medium, it can show the thing being used, the UI during use, tell a clearer story with a person using it, some context etc. It also forces them to prioritize more, and have to distill their message down to a certain bounded timeframe.
Neither gives any guarantee. Both static text and videos can be done well and badly. But I usually find it useful to have both. A video is like being guided through their vision of what the thing is (a "push" message). This can be annoying to many nerd types who want to cut through all that and just want to "pull" the info they need, for themselves, at their own fast pace, quickly identifying it and not being spoonfed. But the typical user is not like this, and prefers the spoonfed/edutained approach.
Yes that's the trick. And much more. If you have any sort of content, you should express it as a slideshow, a white paper, a blog post, a video, a podcast, etc. Get it out in as many forms as you can. Maybe even performative dance or song if you've got that energy.
I was getting ready to rant when reading your "A video is a richer medium" line, and then read the whole thing and saw you followed up with a point explaining exactly why: "just want to "pull" the info they need, for themselves, at their own fast pace, quickly identifying it"
Needless to say, usually if my choices are video or nothing, I'll choose nothing and figure it out myself.
12.4% of the world is illiterate and I'd guess more like 20% would have trouble quickly taking text and turning that into instructions faster than a video could do the same thing.
As long as you don't have "realtime" workloads, owning the GPUs quickly becomes the economical option. The main cost problems is in e.g. chat applications where the workload is spikey, and users expect an near-instant response, for which you need to scale the GPUs to the highest spikes of the workload.
You really don't need to be large. $100k can buy you a lot of compute and it's less than hiring an engineer. With that kind of money you can build an LLM server for a dozen people.
One engineer's salary to accelerate a team of twelve is so cheap you can't afford not to.
Open models on-prem is the future, not a single doubt in my mind.
I'm old enough to remember when my company had everything on-prem (both analytical and operational databases and servers) due to cost and security concerns. Nowadays we have everything on GCP.
The biggest problem we had with on-prem was maintenance as it took a lot of staff and time to ensure decent reliability.
It depends though - I'm not in the US and in my country ETFs get taxed continually whereas mutual funds don't get taxed until you sell.
In general, invest in low-cost index funds is pretty solid advice everywhere. In different countries you might use slightly different instruments due to tax advantages (like the ISA in the UK etc.)
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