> This could then be combined with some software on the machine to turn a MacBook into a difficult to detect recording device, bypassing protections such as the microphone and camera privacy alerts, since the MacBook would be closed but not sleeping.
Isn't this already possible if the MB is connected to a power source like a portable battery?
llama2 is pretty old. ollama also defaults to rather poor quantizations when using just the base model name like that - I believe that translates to llama2:Q_4_M which is a fairly weak quantization(fast, but you lose some smarts)
Picking one where the size is < your VRAM(or, memory if without a dedicated GPU) is a good rule of thumb. But you can always do more with less if you get into the settings for Ollama(or other tools like it).
It could, at least temporarily. But there is no reason to belive it won't stabilise again.
Increased demand without increased production will increase prices. But then producers will follow, and production will increase, and prices will stabilise.
Increased tax on the rich and distributing it to poor moves a tiny bit of the combined 'voting power' we have over production as consumers to the poor, so there will be slightly less luxury cars produced and slight more food.
Why would they produce more if they could? It must meet the demand at the current price point. More money goes to poor people, more demand for food at the current price. That will increase the price, which will increase production. Short term the price might go up a lot, but then new production will come online, and the prices will fall back to today+delta.
> METR also conducted an in-depth study that asked experienced developers to code with a popular AI assistant. After they finished their tasks, the developers claimed that using the AI had made them 20 percent more productive. But independent evaluators in the study actually concluded that using AI did the opposite: it increased task completion time by about 20 percent.
This somewhat reflects my experience... I can totally see the back-and-forth dance taking longer in some cases.
But I also think there is more than efficiency being unlocked here. Sure, a developer might have cranked out a rough MVP in less time, but with this they're also often continuously updating a README, tests and other infrastructure as they go.
One could argue about whether that's its own footgun - relying on tests that don't really test what they should, and let critical bugs through later.
To steelman the crypto side: I think the stuff that is most interesting is found _around_ crypto and not necessarily within most cryptocurrency projects.
For example, there have been a lot of novel or interesting projects centered around cryptography, consensus, decentralization, anonyimity. On a sociological level, there are a lot of interesting social/economic experiments unfolding in the DeFi world as we speak.
But I think that is where the truly interesting or valuable contributions to humanity as a whole end, and the vast, vast majority of it otherwise is just speculation or scams. It is hard to find that signal in the noise, but it is there, if you look.
I had a great time using drugs friends bought on the silk road back in the day and I'd say that particular economic activity being facilitated by crypto while completely hedonistic was a net positive for humanity.
