Good thing nobody is working on automation that could pump those numbers. Oh, wait, they are.
How is your argument any different than Stalin killing only X people that he was suspicious of or the KGB only being able to target N people due to not having more manpower?
I think 0.001% is too high. These are not accidental; these are intentional. That you personally haven't been targeted is only limited by the ability of them to do more, which is continually changing
> Increases in the price of X cause the demand for X to drop, as people shift their spending elsewhere.
Elasticity of goods has entered the chat. If a significant amount of inelastic goods' price increase, cue inflation. Energy costs, especially fuel, are classic drivers of inflating prices.
> Energy costs, especially fuel, are classic drivers of inflating prices.
That's what politicians want you to believe ("Putin's price hike"), to divert attention from the real cause, massive deficits, which are the fault of the politicians.
BTW, Rockefeller dropped the price of kerosene by 70%. Why was there no deflation?
Ask a color blind person to spell "red" and "green", then ask them how many red apples are on the table.
LLMs work on tokens. They literally cannot see individual letters. Yet, unlike humans, they can instantly create a tool to solve this task for them and never be stumped by it again.
It is important to understand how this technology works. It isn't magic. Your example is solid. Similar to the Chinese Room.
Do you think your legislators or most users understand tokens and predictions and what is going on? Do you think that those who bombed a school using it know this?
Until frontier models can account for the disparity between what they can do and what the person (or other agent) is asking, we will continue to suffer bad information used like good information.
That tokens cannot count letters like that is not a brain-dead gotcha. Ignoring how humans are using these models is lacking in critical understanding of the real world. People are literally going to die due to humans not understanding how this works (and already have). True brain-dead, and body-dead.
from that source: a dmv program errored and registered some people to vote. So the government itself made the error. Out of 4 million voters in NJ, 400 ineligible people voted. And were caught. Oregon found 30 ineliglbe voters cast ballots. And were caught. Colorado, none were allowed to vote. In CA, 1.5k incorrectly registered voters _may_ have voted, and of those, _some_ might not have been US citizens.
This is the strongest evidence the nation can turn up on voter fraud. It sure looks to me that the system is catching the absolutely minuscule amount of non-voters voting and that voter fraud is mostly a non-issue.
It appears the more common voter fraud is a US citizen voting in elections outside their home residence. Like Ken Paxton, running for senate in TX, who it appears voted numerous times using his ex-wife's address, including to vote for himself.
Action items need an a forcing feature (like an SLO) to insure they are picked up. And someone needs to follow up when the item isn't handled timely. It should show up in team performance metrics and guide changes to processes to insure they get done.
spreading awareness is a thing. A lot of people don't know what our politicians are doing to us which gives them even more freedom to do even worse, self-serving things.
How is your argument any different than Stalin killing only X people that he was suspicious of or the KGB only being able to target N people due to not having more manpower?
I think 0.001% is too high. These are not accidental; these are intentional. That you personally haven't been targeted is only limited by the ability of them to do more, which is continually changing
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