The paradox is that the quality of AI output is directly proportional to your expertise and understanding, while the trust/belief/confidence in their effectiveness is inversely proportional.
It will still pay to develop the core understanding. It is just that the world can remain irrational longer than you can remain solvent :).
> 1) One can no longer trust things out on the web.
I assume you mean software, because we haven't been trusting other things on the web already for decades.
As for software, everybody interested knew about inherent insecurity of supply chain of modern software but the solutions proposed were too expensive. We need an order of magnitude more money lost for organizations to start switching from today's security theater to a model with security built in.
In general and for software in particular too :). For general see my response to ellg.
Even though we were aware of the insecurity of the supply chain,
1) In practice we tend to ignore it except for mission critical cases. We still do.
2) Autonomous vulnerability/exploitation at scale was difficult and reserved for high value targets.
It has always been that way. Literally the only distro that encourages an update process with the requisite effort you should be putting in is Slackware. You should be reading the source code you build. You should be building from source. You should fully understand your toolchains. Binary only distros have always been the equivalent of wearing a condom to have sex. Usually fine, but technically outsourcing the hard work to someone that lets be real, 90% never get to know well enough to credibly trust to any degree. NPM & proglang level package management just doubled down on the real-estate you had to shift through.
Being a responsible programmer/sys admin has always been read heavy, as long as I've been alive. Write only code is antithetical to the basis of running a trustworthy system.
The fact that supply chains have always existed is not meaningful. The issue is that the occurrence is considerably increasing. It's factually riskier to administer systems.
> You should be reading the source code you build. You should be building from source. You should fully understand your toolchains.
This is not realistic for the vast majority of the companies.
The Internet is quite fine at delivering packages over encrypted channels which I can trust. (Except where interdicted by governments, like in China, India, Russia, Turkyie,..)
The Web is a rather different beast, but the question is not "can you trust the Internet", but "can you trust a random website", and now even "can you trust a previously trustworthy website".
You of course should not trust any pictures or videos as critical evidence, they should be corroborated by other means. But this has been true for several years now.
While there genuinely was fake content and astroturfed material on the web prior to LLMs, the cost to produce this stuff has fallen enormously. A major corporation or a state actor might pay a bunch of money for inorganic content but it was hard for some rando in Estonia to spin up a network of fake content to monetize on tiktok or whatever. This leads to way more fake content about a much wider range of topics.
To clarify, I meant it from a lay person's perspective. I do realize that one can argue if the average person will have developed this awareness now. The difference this time, I feel, is that the genAI tools are widely available for normal people to experiment with which will hopefully help develop this visceral feeling.
Asimov’s favorite overarching theme is that whenever you try to constraint robot/AI ethics with rules, creative misinterpretations or misunderstandings tend to have outsized impact.
It exists so there's a way to respond to demands like 'no criticizing Israel', or 'Taiwan is an inalienable part of China's territory', or double negatives like 'no not agreeing to automated droning'.
Because if you do not have a way to agree with these, your business can and wil be targeted and shut down.
I felt it more being naive idealism in the beginning coupled with the thrill of achieving things before the realization.
Yet certain things stand out like her trip to Myanmar. Why to subject oneself through that in that condition.
The title is very apt, the executives, they simply didn't care. That was a fascinating glimpse
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