Any idea how this impacts things like the Citizen app? It's helpful to see if there is violence or similar risks nearby, particularly in major metros. Would be a shame if they were cut off from being able to provide that info to the public to help protect themselves.
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I know this sounds crazy, but how about we apply the law equally to everyone? I have a difficult time seeing how targeting or generalizing any group of people rather than individual likelihood of tax evasion is an appropriate application of resources.
Currently they prioritize going after people on low to middle income, so if there is additional funding it should go towards the people currently being ignored.
Yeah, last time this topic came up, I seem to recall that it turned out the vast majority of "audits" claimed to be targeted at the lower-classes were automated, mostly intended to catch common "whoopsies", and usually resulted in a pretty chill "yo, we think you owe X for reason Y, send us a check if you agree, or else perform the following steps to dispute" letters, not, like, thugs knocking down someone's door and demanding to comb through all their records from the last seven years.
... while audits for rich folks required heavy human involvement right from the beginning, so of course the numbers are skewed such that it looks like they are targeting the middle and lower classes, if you treat both types of audit as identical.
Plus audits on rich folks who tend to employ tax lawyers and specialists would usually not deliberately commit fraud, but use unintended "loopholes" which would require some sort of tribunal to decide legality (such as a court or something).
These sorts of audits may or may not return any extra revenue.
The highest likelihood of tax fraud are people who commit small fraud that, to them, seem undetectable.
Because it’s unprofitable. Think of the IRS like the sales staff of a business. Taxes are the revenues. No business would be rewarded for wasting marketing and sales budget on chasing customers who have no ability to pay.
Sure you could go after a low income tax cheat, but you end up just putting them in debt if they don’t actually have the ability to pay you.
The better analogy is should police pull over someone going 120mph or going 80mph if they have to choose.
Clear answer IMO. Similarly should the government prioritize more serious offenses over lesser? It's a bigger crime to evade $1,000,000 in taxes than it is to evade a $1,000 tax bill.
so the analogy is flawed, because you a priori assume the higher income people would perpetrate a higher amount of fraud.
> It's a bigger crime to evade $1,000,000 in taxes than it is to evade a $1,000 tax bill.
Yes, but is earning a higher income make you a higher probability of higher fraud? I don't think fraud is distributed like that. In fact, i would argue that the higher income you are, the more likely you are to use professional services for taxes, which means you are less likely to commit fraud!
> Is it unfair that police patrol for speeders on the highway more than on bike paths?
yes, if the majority of the people are on bike paths, and they're the majority of all frauds.
Esp. if to drive on the highway, you are often driven by a chauffeur, who are professionals and knows exactly which section of the highway allows you to go fast without breaking the legal limits.
Therefore, patrolling the highways in lieu of bike paths means you will miss all of the small time speeders, and occasionally just catch a big speeder. I would imagine the trade off is not worth the loss in speeding tickets.
It's far easier for a business to evade paying taxes. Half the businesses I visit in NYC admit they want cash so they don't have to report it on their taxes.
Rental units generally change hands much more frequently than owned homes. Accordingly, rental units offer a more real-time view of housing cost trends.
There are also a lot of homeowners who locked in at a very low interest rate (both new homes and refinancing) with little incentive to move any time soon.
I build financial market infrastructure and in the last twelve months I've seen companies in my industry presenting at AWS and Splunk conferences, and a Cassandra meetup.
There are lots of great technologists in the space that are just like the rest of us and love sharing ideas. There are definitely NDAs in place, but "financial infrastructure" generally refers to processing systems, not trading systems. The former is increasingly utilized, while the latter generates alpha (i.e. where you actually make money).
People like sharing ideas about processing infrastructure because everyone benefits when the rest of the market gets better at it also. Your efficiency is only as good as your counterparties' efficiency. If their system breaks, you still have a broken trade that costs you operational time and money no matter how good your infrastructure is.
There is a lot more wrong with what this author wrote, but in the interest of time I'll keep my answer to the question asked.
Despite being based on semi-functional programming language Scala, I found no evidence that the language AxLang has anything to do with formal verification. I may be wrong, but what I see now is lots of promises without any details.
How do you mean? There are examples of formal verification working in the video. The resulting compiled smart contracts are on the live Ethereum blockchain.
Let's be fair, the product is designed to specifically not do that:
"Echo uses on-device keyword spotting to detect the wake word. When Echo detects the wake word, it lights up and streams audio to the cloud, where we leverage the Alexa Voice Service to recognize and respond to your request."
Of course, given that a lot of the HN crowd currently derives their income from surveillance and/or walled-garden based business models ("analytics", "big data", "software as a service", etc), I expect to be down-voted for suggesting that it is a bad idea to trade your future for a few shiny (and sometimes useful) toys.
I hope everybody that uses Amazon's microphone - or, as you say, a cell phone - realize that you're creating the surveillance state. Right now there is a large effort to normalize surveillance socially, and instead of fighting for you right to privacy, we have a threat full of people talking about how wonderful the bait tastes.
We need AGPL algorithms and training datasets for voice recognition, plus user-programmable open-source firmware for on-device wake word recognition.
If we can end the false privacy-convenience tradeoff, then the technology can be applied for goals defined by users rather than select business interests.
Agreed. There's something to be said about maximizing productivity and relaxation time. Also, it's nice that they have a business model that works from a remote location, but personal interactions with clients go a long way for most companies.
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