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Edman274

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So what? A Google Pixel 9 Pro costs only about 4 times what a bare RPi 5 with a run of the mill camera costs, yet with its NPU it can perform 45 trillion operations per second with a camera that can reach 240 frames per second at a resolution of 2 megapixels. Do you think that's insufficient to autonomously pilot a drone moving at highway speeds towards a target that it identified as a fighter jet? In addition, it has an onboard battery, GPS, cellular and WiFi connectivity, pressure sensor, accelerometer, and USB connectivity. A phone by itself could replace practically all of the brains of a single use drone and they sell phones literally in the millions. The hardware is terrifyingly easy to source.

Okay, then by 2036 the curriculum and standards of teaching will have been updated too, the expectation of what teachers will be able to teach will have been updated too, the competence of students will have been updated, and the hidden expectation will still be that every teacher can do as well as the "gifted" teachers of 2036. You can predict that this is what will happen because this has been happening for the last century. Up until the last five years student test scores were improving, and if you believe that teacher performance is at all linked to student performance, then improving student test scores ought to draw from teachers getting better too, but that's not good enough. Why? Because the concern - after a baseline is established - is seeking exceptional performance, which definitionally cannot be made routine.

You do understand at least intuitively that it's not even mathematically possible - let alone practically - to train 100 percent of teachers to be in the top 10 percent of teachers, right? The definition of "good" and "gifted" is only used relative to an average. No amount of training can make the average teacher better than the average teacher; it's a logical impossibility, and misunderstands the central effect of training and the goal of the person being trained. No student nor teacher cares about be trained to some objective standard of competence. Rather, the goal is to be better than one's peers and you can't have all teachers be better than all teachers unless you reject the concept of teachers being comparable.

words for things that don't exist

This is rhetorically slippery, and feels like it is restating the thing that I asked to be demonstrated when I asked for example of the opposite. It feels like begging the question.

In either case, the central thing that I was saying is that critiquing an article because it makes a claim about a specific word which also applies to an entire class of words makes that critique feel less informative. What I mean is that if there were an article that said "The Sun is not red" and the response was that redness is a concept of human minds, then I don't know if I would feel informed. If the comment is just limited to point that out, I guess I wanted to point out the limitation.

Describing something as "car-like" is begging the question. You are presupposing an objective definition for "car" in order to draw a distinction between things that are cars, and things that are almost cars. The reason such a thing doesn't exist for consciousness is that people believe that the offered definitions for consciousness are illegitimate. It would seem logically weird for me to accept that a term is "real" if it crosses some percentage of public acceptance of the definition, and not real otherwise. I would argue that using that heuristic would make it very obvious that computers are not conscious because it's a stance that practically everybody takes outside of hackernews.

If you take the strategy that you will create a definition, create a label for that definition, and then say that any deviations from the defintion that was chosen makes usage of the label incorrect, then yes, it's the same everywhere in the universe -- according to fiat, and I don't believe that that negates that it is a label, just that validity of usage of the label derives from the perceived authority of the labeller. God didn't come down from on high and say that a meter is the length light travels in 1/299792458th of the time for 9192631770 cycles of radiation of Cesium 133. People in rooms chose that it would be based on the circumference of the Earth with a line passing through Paris, France (how convenient), and if there were an academy in the 1790s that invented the concept of "fat", and "fat" means a BMI exceeding 30, then fat would be true everywhere in the universe too (BMI after all is defined as a ratio of height, measured in meters to weight, measured in kilograms, which are both fundamental SI units), and there would be no ambiguity.

People are still coming up with definitions of consciousness and then those definitions end up being attacked by others who disagree with the foundation of the definition, which is - if you will recall - also what happened with the meter, over the course of centuries, until it was very recently redefined to be "unambiguous", but arbitrary. This was possible because few people had any particular emotional investment in the definition of a meter, and it is probable that consciousness will be eventually defined to mean that only humans can be conscious, which may be dissatisfying but would be true throughout the universe, like a meter. If the question then becomes "what defines a human" and "why a human", then I ask, why 1/299792458 of a second?

I guess my question or confusion is that if there exists no readily accessible, easily identifiable example of a noun which does actually serve as something more than "a useful label, agreed to out of convenience", then the critique appears to be stating a vacuous truth, because there are no entities for whom the critique would not apply.

They can't rebuild it. Facebook Marketplace is allowing people to buy and sell locally for free with systems for managing fraud that are more robust than Craigslist. How do you rebuild when a way larger company - with a side project of theirs - offers one of your core businesses for free?

Yes you can. The same way Wikipedia (or, way back when, a paper encyclopedia) can be used for research but you have to verify everything with other sources because it is known there are errors and deficiencies in such sources.

I think that if Wikipedia had no recommendations on good sources for their own articles and did not ever ban sources, companies would not be so sanguine about letting people use Wikipedia. There's an entire internal process associated with evaluating sources, and the expectation when using Wikipedia is that nothing written in an article is going to be sourced from the Daily Mail or Conservapedia, as an example. Also, I do think that there are companies that do have policies against talking to known liars. Given the Wikipedia bans sources and news agencies ban human sources once they've been shown to be unreliable, I don't think it's insane to then have such companies or agencies say that AI shouldn't be used because it's been shown to be unreliable. Obviously there's a balancing act of utility versus accuracy, and Ars has (probably incorrectly) decided that the utility of AI outweighs its inaccuracies.

What is frustrating is that AI cannot have a higher accuracy than the median reporter, given a little more time. AI is trained on all digitizable text, including falsehoods and inaccuracies by laypeople. Humans can look up digitizable text using search engines, too. An AI can't follow up on leads or ask anyone questions. There's no world in which synthesizing available data from digitized sources alone ends up with more accurate data than a human with a search engine and the ability to make a phone call. So allowing LLM use at all is a direct admission that seeking out the "truth" is not an important goal because it could never actually improve accuracy and could only worsen it through hallucinated, probable reporting. It's one thing when companies say that they're committed to truth and then secretly their most important overriding concern is their bottom line - it's quite another thing when a company directly says that the bottom line is their most important concern. Imagine the emperor walking through the parade, nude, saying "So what if I am nude? What are you going to do about it?"

It sounds like you are unfamiliar with the idea that software engineering efforts can be underestimated at the outset. The humorous observation here is that the total is 180 percent, which mean that it took longer than expected, which is very common.

If your peers are using AI and getting better grades, opting out is not a principled stand. It is a competitive disadvantage.

The students are not confused. They are trapped.

In this environment, choosing not to use AI is not intellectual integrity. It is self-sabotage.

Here is where the conversation gets genuinely uncomfortable.

The culprit was not artificial intelligence. It was standardised testing.

For them, cognitive offloading is not a convenience. It is a developmental short-circuit.

This is not merely a problem of laziness or moral failure. It is a predictable consequence (...)

These investments are not philanthropic gestures. They are strategic plays for long-term market dominance (...)

These are not neutral actors offering disinterested tools. They are companies with revenue models (...)

This is not a new insight. It is a well-established finding that anglophone education (...)

(...) AI is not a threat; it is an upgrade.

If, however, the purpose of education is to cultivate human beings (...) then the arrival of AI is not the crisis. It is the revelation that the crisis was already here.

Not more bans. Not more surveillance software. Not more hand-wringing opinion pieces from adults who themselves rely on AI for their professional work.

But the overreliance they fear is not a new phenomenon introduced by ChatGPT. It is the logical extension of an educational philosophy (...)

The irony here is that the AI generated article gives a full throated endorsement of using LLMs to generate slop; why should we believe that the guy who prompted the LLM to generate slop that says slop generation is good did not himself use the slop generator?

Yes, why are we still talking about the robot whose behavior can be programmed and whose behavior is set by a company and rolled out to all of their vehicles deterministically, when another commenter correctly engaged in whataboutism?

Handle it this way - a user has Silver tier coin subscription, gold tier coin subscription, and platinum tier coin subscription that they pay in per month. I'll set hypothetical prices at 15, 30 and 60 dollars. Over the course of a month, you look at articles without making decisions about whether to buy them one way or another - you just have your "tab" and the article loads as-is. Then, at the end of the month, mycrowpaymint.biz tallies up how many articles you read * each article's relative cost multiplier from what different news sites (15% forbes, 30% percent NYT, 10 percent utne reader, 45 percent random YouTube videos) and then remits the subscription revenue to each publisher based on the percentage used. For flexibility's sake, maybe the publisher was hoping to get 17 dollars coin based, PAYG revenue off of a 15 subscription at 80 percent utilization, but them's the breaks, because in other months they'll get more revenue than they would expect because a customer engaged with less content overall. Obviously, the existence of tier limits would be for those cases where someone tries to look at a thousand different articles on a silver plan, and perhaps Financial Times would only allow Platinum subscribers to work with this plan, but the reduction in friction, ease of subscription management for the customer, and equitable financial allocation would (I believe) make such a scheme viable.

Well, I actually had two interrelated thoughts and because of proximity I think I confused things. I guess what I was thinking was "garments are constructed not of "panels" but of threads of a given material which can be abstractly thought of as being panels when woven or knitted, but ..." and from there I thought of failure modes, like the fact that this doesn't have a way of specifying straight vs zigzag stitches, which doesn't have a way of specifying things that are not joined together via stitching panels together, etc. Like, I don't think this can specify a pair of jeans, because the hem of a jean requires a chain stitch at the bottom, which isn't unambiguously defined. This project feels like it devalues the complexity of something that is one of the defining features of civilization.

If old teaching styles / standardized testing / standardized schooling represent this moribund, stagnant thing that haven't changed at all and haven't kept pace over the past century, why wouldn't you expect measured learning performance to hold steady as well instead of declining? The students basically have the same brains that they've always had. There isn't as much lead in the water as there used to be, in the atmosphere as there used to be, and parents take prenatal vitamins. They're starting from the same raw stuff that they've always been starting from, if not better. So why would they be getting worse? Children one generation ago didn't need individualized curricula and testing to achieve the performance that they got. Why does the current generation need that, and by what mechanism would that improve their performance?

If Uber had an internal policy of only ever hiring convicted rapists, didn't tell anyone using the app this, didn't warn about unsafe rides, didn't record ride information, and (crucially) also didn't tell their employees to do anything other than to be decent, good, hardworking drivers -- what do you believe their liability should be in this case? Nothing? I'm trying to "steelman" the implications of your point of view but I'm struggling here. When does liability kick in for you - is it only if they enshrine it as policy to do the criminal act?

What incentive would there be for a gig company like Uber to not deliberately hire criminals if Uber isn't liable, but other companies could be? Reputational damage isn't enough to hurt the bottom line and to change behavior - if it were, they would've already done more, but they didn't because they were operating under the assumption that they were legally insulated.

The Great Unwind 6 months ago

My job running the website and twitter has always been to give the people a voice. I think that's important, don't you?

Do you truly believe in your heart of hearts that people posting neo-MOASS wish fulfillment suffer from a lack of a voice, and no place for them to be heard? Take this seriously. More important than "a voice" is consistency and clarity of communication. The people involved in occupy wall street in 2011 weren't occupying it because they wanted to eventually join it, and I don't think that their form of economic justice would be for Wall Street to lose money in a gigantic market crash that again would result in taxpayer-funded bailouts that spurred the first protests. For transparency's sake, what are your market positions today?

Afghanistan is a landlocked country on the other side of the planet, the soldiers didn't grow up with knowledge of the terrain, they had no knowledge of the language, culture, customs or social networks, no one locally (with few exceptions) wanted them there, and crucially they only lost once they left, and when they left, there were no penalties for the people who started the war; no US politicians were in any danger whether the war was won or lost, no land was lost, and no truly important geopolitical goals failed.

On the flip side in any domestic insurrection, the soldiers know the terrain, language, customs and culture of the people, the supply lines are nothing (rather than having to airlift materiel and people thousands of miles, you drive them on regular roads), the infrastructure supports espionage, most people support the regime and will collaborate to return to stability (since they voted for it), the regime never leaves (you can leave Afghanistan, you can't leave your own country or it ceases to be a country), and if you lose, you lose territory and/or politicians run the risk of violence. The stakes are why these comparisons are never relevant.