Most of the jobloss seems to be due to the movie industry. The movie industry has been a flop machine over the last decade out side a handful of successes. That probably has more to do with jobloss than anything ai related.
It's a very very very rough approximation, but scaling laws (admittedly weaking over time) yield ~x^2 from a size, ~x^2 from a dynamic power, and more of the data movement is moving from PCB interconnect to on package which looks more similar to chip scaling.
It's a finger in the wind approximation with lots of confounders, but historically it seems to work out that way for most circuit things.
It's not a fair comparison. Money laundering controls likely have also been implemented since the 19th century in some way shape or form. Therefore, that 2-5% figure also includes the effect of those controls. This might just the natural equilibrium below which the juice is no longer worth the squeeze.
Access to information and interconnectedness have also increased exponentially so it might make sense that the costs have increased proportionately.
Finally 200B/year would not solve world hunger if nefarious actors grift away most of that money (especially because you wouldn't be able to track them with out some form of KYC)
You also have to ask if money laundering is bad enough of a crime to warrant all of the overkill responses to it. At some point the medicine becomes worse than the disease. Lawmakers tend to get into these inescapable loops:
Crime X exists -> Try solution Y -> Crime X still exists -> Try harsher solution Y0 -> Crime X still exists -> Try harsher solution Y1 -> Crime X still exists -> Try harsher solution Y2...
I think the problem here might be that while Crime by its definition might be the same, the way that it is executed changes drastically so Solution Y/Y0/Y1/Y2 are not required to exist in terms of severity (very likely solution Y was severe enough if you were tried and convicted of the crime) but they are needed because the way Crime X is executed changes (especially this Crime X)
Unless you're running your own local DoH server, it's just privacy theater, and not even good theater. It's the same bogus argument made in favor of retail VPNs. "Encrypt your traffic so your ISP can't spy on you!" Meanwhile failing to recognize that you're just moving the spying agency to some free service owned by--oh, let's look at the top providers... Cloudflare (not great), Brave (advertising company), Google (Bad)... Need I go on?
Perhaps you've forgotten that old adage: if you're not the customer, you're the product.
Security theatre is far too strong. It’s not perfect but it does solve real world, actively exploited privacy flaws, such as ISPs monitoring and selling insights from DNS, NXDOMAIN hijacking, etc.
Your internet traffic is all MITMd by Cloudflare anyway. Using their DNS barely moves the needle.
I run a local DNS server that has its own blocklists, internal DNS records, etc. I imagine most people who might bother to deploy an enterprise browser policy do something similar.
You’re describing the dump and pump strategy that china has historically used across a number of industries. Stands to reason that this is what is going on.
You don't have to build the entire software factory at once. You don't have to mastermind the whole future system, instead you're actually stacking and layering these small, isolated problems.
I think that's a really good approach to start getting value tomorrow or this week without saying, "I'm going to revolutionize how we ship."
It's just:
1. Find places where you can use agents.
2. Figure out where the right leverage points are for humans and where the right leverage points are for agents.
3. Just start building those things and plugging them into each other.
One day you'll wake up, and 80% of all of your stuff is automated.
Totally. Also to add to that. I think (like any factory) you need to build in systems to allow you to have observe and service the machines make process changes as needed.
You're the foreman/factory manager. You can optimize the factory over time upgrade machines, place machines closer or add conveyor belts for more productivity.
The only think that slightly worries me is that the Labs are clearly incorporating the best in class logic from their datasets.
