skysight-inc/HackerNews huggingface dataset:
10x faster is a huge exaggeration. Average speaking speed is 150 WPM, while average reading speed is 300 WPM. If you watch/listen at 1.5-2x speed, which many people do these days, we're only talking ~10-20% slower on average.

I would agree that reading is better for things that I know I will want to read. But there is a finite amount of attention in a human lifespan. There are many things I know I wouldn't want to spend my reading time on, but which I would happily throw on at times when reading would be impossible, like doing chores, exercising, or driving. Audio makes it possible to learn more things in the same amount of time.
The thread article is about a cancer vaccine. Only a couple hundred humans in the whole world have received it
A Collaboration with Google and the Forge
So Ledger was able to coordinate with a number of entities to minimize the impact of the attack? Isn’t that directly contrary to crypto’s decentralized design?

If one is to make crypto really decentralized, relying on a small number of authorities for security seems contrary and maybe poisonous to that goal.
I quit for ~5 months with our first (we had spontaneous fraternal twins) and ~4 months with our second. It would've been longer but we conceived the first month we started trying in both pregnancies. It seemed self-evident to me, at the time, that I should do everything I could to "clean" myself up. I stopped eating fried food, stopped drinking calories besides milk, ate more fruits and vegetables, etc. My wife doesn't drink so she didn't have to change her lifestyle much.
Shouldn't the title be "Turing Awardees Accused of Republishing..." rather than how it currently reads?
Upvote for edlin! I didn't even need 1Mb of memory to run that. Incidentally, iPadOS autocorrects "edlin" to "delinquent".
Anymore? They've never shown up for this kind of stuff as long as I can remember.
Who cares if anyone here has gone through the police academy? It's almost like training is required to do a job. Wow, what a concept!

>You have to memorize and demonstrate understanding of law

No shit...that's the entire premise of the job. Someone whose job it is to enforce the law needs to actually know the law.

>pass an obstacle course

You should see some of the cops in the cities I've lived in (Bay Area, NYC, PHX, Miami). Some are/were quite fit, but a bunch couldn't pass an obstacle course even if the only obstacle was "touch your toes" or "run a mile in under 15 minutes".

>meet marksmanship standards

You don't say? Someone whose job description includes "the ability to use lethal force when necessary" needs to know how to properly use a lethal firearm?

>pass a driving test under extreme conditions

Weaving in and out of traffic with lights blaring is NOT hard. People are required to get out of your way. You also have a great car with tons of upgrades, all paid for by the taxpayer.

>And they have to recertify on a lot of this yearly.

Good. Plenty of professionals in other fields have to do this too, and they don't get backed by a taxpayer funded union.
doesn't humid air "feel" warmer, though?
I'm not betting against anything, my money is going to real estate me and my family will live in, not WSB gambles. Also, betting against hordes or Tesla fanboys does not seem rational at all, doesn't mean the product is any good or has a bright future still.
> I feel bad for him. He did get passed over of some deserved awards and recognition. But he reeks of resentment and thats never a good look.

It's a terrible look. We're in the middle of one of the biggest gold rushes in tech history and he's wasting time complaining when he claims to be one of its pioneers? That effort is much better invested in building stuff but I suspect he's fallen into the classic PI trap of writing grants all the time and leaving the real work to the rest of the faculty, atrophying his skills too much to do anything now that the industry is moving so quikcly.
Are you advancing some kind of anti-Semitic conspiracy theory, very similar to the one that Musk endorsed recently?

If so this guy probably wants you to write an op-ed, to ensure he gives voice to both sides of the issue.
Its fine to use at home, but I see a lot of people pretend these are Enterprise devices and use them as such. They are upgraded consumer gear, at best, imo.

Source: I've been working with unifi gear for the past 4+ years and use a basic unifi setup at home, since it was free to me. I wouldn't have bought it.

Like all things, YMMV. I'm glad to hear its working like you need it to.
It would be difficult if distros stop including an Xorg package, which is what many Wayland proponents are pushing for.
That person obviously knows what they're talking about and are much smarter than me but I still think this here is a weasel thing to say.

> I think the best way to deal with the issue includes education, digital skills, and parental oversight of Internet use including the use of personal filters or blocking tools if desired.

That made me actually laugh. Internet access is ubiquitous, parental digital literacy is often low, none of those are actually helpful suggestions that would help address the symptom.

Imagine if we suggested that for other problems. "I think the best way to deal with gun violence includes education, gun skills, and parental oversight of gun use including the use of safety mechanisms and gun safes if desired."

I appreciate people spending their time fighting for our rights. But these arguments here weren't very practical in my opinion.
IFS = Internal Family Systems. I don't think it's very big at least right now. I think it's also recommended for PTSD. To me it feels more in line with psychotherapy in that it looks at root causes, whereas CBT is more of a surface level thing. DBT seems somewhere in between.
Ah I see! Time reversed, every path eventually exits the black hole. So it’s a different thing. Thank you
A lot of people actually do this: https://news.ycombinator.com/from?site=discussions.apple.com
I've got mixed feelings. I would be interested in hearing the whole story first. The "hey, I can program the trains to break if we're not the ones to run maintenance, should I do that?" or the "yeah, I guess I could make the trains break if we're not the ones to run maintenance" are both pretty clearly unethical.

However, the "yeah, sure I can add in a GPS locator module" and the "yeah, I can add analytics that reports when the train is in a maintenance hanger" and the "the catastrophic program halt code module used in cases of extreme failure is located here, but why do you want to know that?" all seem less than unethical.

Theoretically you only need one unethical line of code, so how it got there, I think, is pretty important to know before passing ultimate judgement.

EDIT:

Of course for something like train control software, you really should have a process or at the very least responsible engineers that would notice a middle manager with limited technical skills asking suspicious questions and then pushing up a PR that is self approved.

I would be more than willing to entertain an ethical debate along those lines. Although, like I said, I think it's important to understand the whole story because the specifics really do make a difference.
That's interesting, will test this right away myself!
Given how conclusively the article explains that this bill is supported by effectively everybody _but_ Trudeau, I'd like to take a moment to thank you for unburdening the rest of us so effectively with any ongoing need to give precious time or thought to anyone wielding that particular two word phrase, or, for those of us who have already wasted our time in dialogue with folks like you, reaffirming the conclusions we'd already drawn. Appreciated.
A student's journey from OSS contributor to full-time engineer
>We believe superintelligence—AI vastly smarter than humans—could be developed within the next ten years. However, we still do not know how to reliably steer and control superhuman AI systems

Their entire premise is contradictory. An AI incapable of critical thinking cannot be smarter than a human, by definition, as critical thinking is a key component of intelligence. And an AI that is at least as capable of critical thinking as humans cannot be "reliably" aligned because critical thinking could lead it to decide that whatever OpenAI wanted it to do wasn't in its own interests.
HIPAA has requirements for logs and that includes logging access to data. What company is this that isn't following those regulations such that you can crack open raw logs at any time?
> I have drank average of 3 oz. per day (3 beers, or one healthy pour of...

Maybe `sed 's/oz. per/drinks per/'` here? Though if they're 12oz x 8.5% beers, and the "healthy pour" is 8oz of 80 proof...
But if other people identify and further develop one or two out of his models, he should still be cited. If they did not use his work at all, coming ith one or two models independently, then that's a different situation. It's a bit of an honor code thing as well, it's hard to prove if somebody has a read a paper or not. But then there's a more stringent standard where one cites as part of surveying preexisting work, which can result in a vast list.
I'm a long time fighting game fan and recently discovered YOMI Hustle[1] a turn based fighting game. I think it works really well for teaching fighting game mechanics, strategy etc., whilst not having to worry about the execution of the moves itself. It's pretty fun, and there's an old version free on itch with multiplayer support. I recommend trying.

[1] https://ivysly.itch.io/your-only-move-is-hustle
https://archive.is/TnMpV
I prefer the cli for Mikrotik, but that's true for most firewall, routers, etc.

YMMV.
Sounds like the real problem is that the consumer is not very good at communicating their wants, leaving people to guess at what they might be interested in.
Older computers put the text in a grid, and uppercase letters are designed to be read monospaced.
Bring back EDLIN!
This makes sense! Thank you
Intel Xeon D-1800 and D-2800 Series Launch Ice Lake-D Refreshed
Point taken, edited.
You must not have had any dealings with the police in any US city if you think that they will come running in minutes if someone is stealing your car.

There is an escalation path for security tickets at most large companies, and a community forum post is not it.
If OpenAI say "we promise 100% that the data you submit to us through our API is not being used to train models" do you think they are straight-up lying to you?

That's what I meant by an AI trust crisis.
My point is that most people don't consider externalities when deciding on their transit. Sitting in your car is far more comfortable than navigating smelly and dirty transit with unstable individuals roaming. Yes transit is safer, but people really don't do that calculus on the morning of their commute.

Weed smell is going to be a problem simply from the fact that users stink ALL THE TIME, even if they aren't smoking in the actual metro. It like an epidemic of BO.

What Costco do you shop where you are pressed up against people for half an hour? A loaded train is a sealed environment with poor ventilation and way more density than almost any other scenario in modern life. Regardless it's also people's perception, and a huge warehouse feels better ventilated than a subway car.
Compare how Gemini Pro and GPT 3.5 answer the same questions
"But there are questions about Coinbase's commitment to racial justice." - this is a quintessential example of weasel words and is indicative of the article's quality.

The examples are one-sided claims without evidence, and there are many ways they could be "an inaccurate picture". The first case most likely is an inappropriate jocular interjection during casual mutual banter on clothing, music, or a story. The second case could well be a common misinterpretation of meaning during a discussion about affirmative action or DEI policies.
I'm just as much of an atheist as the next (not you, not you, not you either, oh, here you are) person, but I'm even less of a capitalism believer. Like it or not, the Pope is rather famous - in a completely different way than the one measured in likes and retweets. He has a chance to be heard by those who would never hear the voice of this or that technologist. And if we want any kind of "ethical scrutiny" of the "aims and interest of (AI's) owners and developers" (i.e., the likes of Alphabet, Meta, Microsoft, etc.) to actually ever happen and have any kind of effect, we need the support of as many people as possible.

I'm not a doomer or anything, but companies like Microsoft or Meta need to be watched closely, especially when they get their hands on some breakthrough. If this breakthrough is big enough, then maybe "maximizing value for shareholders" and "extracting every penny of value from it" are not the greatest responses to what are their "aims and interests".
That's quite an amount, about 3-5x the amount of energy generated by solar cells of the same surface area. It would mean the device would generate $2000-$4000 on a yearly basis.
Ohh, my bad. I didn't realize that the native module offers a describe/it syntax. That's pretty cool!
The reason Starship is brought up is because all of this hinges on SpaceX’s explanation on how they’re going to achieve the requirements of their bid.

SpaceX has stated they’re going to use Starship for this, going as far as stating early last year that they were exclusively going to use Starship.

So obviously, when the FCC is going to weigh if SpaceX is going to be able to meet the requirements of their bid, they’re going to look at the plan presented to them by SpaceX.
In the FCC’s defense, they apparently asked SpaceX questions regarding concerns they had, but SpaceX didn’t answer.
Sorry if that was off base, I'm not in a good place right now.
Nah, it's always been unreliable. Around 2016 a coworker wrote a code indexer for our private repos and we used that to find occurrences of things which were critical.

We've been burnt sooo many times ('are you sure we changed all the occurrences of this in all our 3252 microservices?').

Between shoddy UX (the + being part of the code you were copying!), blatantly missing features for years (ZenHub, late GitHub actions), GitHub really succeeded only because of timing and network effect. The developers' community is quite powerful.

I'm happy for the original team, but now it's just another MS acquisition I hope we'll stop using.
Hi, i am working on something similar and was looking for ways how i can host my open data. the approach seems interesting, can i reach out to you to discuss more on this somewhere?
TikTok hits $10B user spending milestone
Why is math so difficult to teach and learn? Because the teacher does not know what the students do not know. Teacher may not even be aware of what they themselves know and assume, therefore it is hard to share with the students what those necessary pre-requisite assumptions are.

In other words something may seem obvious to me without me being fully cognizant of why it is obvious to me. However I digress, the original question was why there is so little motivating examples and motivating problems in math text-books. Maybe it is because the authors are not aware of them.
Human In-the-Loop Cluster Counting via Nested Importance Sampling
Really, here on the east coast our downtowns are largely empty, with huge office garages always at the ready. Maybe less street parking because we still have some outdoor cafes using sidewalk space for dining now?
since an empty string is '\0' then the index of the first occurency of an empty string (which is '\0') is 0 ;)
That's funny since people used to say that cruise AND waymo were taking it slow and steady. The only difference is that waymo hasn't had a major incident.

Though as bad as it is (or isn't, I'm not super informed on the very latest version of FSD), it seems like Tesla has improved a lot recently. Which doesn't necessarily mean it's good at all, just that it was pretty bad when they started the beta. So I'm not sure which approach will end up winning. As weird as it sounds, going about it so slowly just makes you a lot more vulnerable when stuff goes wrong like with the Cruise car accident. Tesla on the other hand is a car manufacturer, so they won't really ever "quit" unless they shut down.
I found solutions like Boxcryptor cumbersome to use. Unless you stored the data redundantly locally, you had to download big encrypted files in order to access a small file.

Also searching files was impossible unless you downloaded everything, decrypted it, and searched locally.

I quickly realized it was adding huge delays in my day-to-day work and a lot of stress during time-sensitive tasks.

Have these e2ee overlays improved in usability since then?
>Engineered stone, a durable and affordable alternative to natural materials like granite and marble, exploded in popularity in Australia throughout the 2000s.

>However doctors began sounding the alarm after noticing a surge in stonemasons developing silicosis, a long-term and sometimes fatal lung disease caused by inhaling unsafe levels of silica dust.

This is all in the last couple decades where doctors were well aware of and tracking cases. It’s very well documented and there’s no debate about cases increasing. The only debate is what exact is it about ES that makes it so much more deadly then natural stone.

It is very much linked to the use of ES not “better tracking of cases”

You clearly did absolutely no research or even read the linked article and are responding with you feelings on the matter.
In all three cases the ML model can only every perform as well as a human with no internal morality whatsoever, no ability to consider the ethics of their actions or their consequences, and fully (and completely) inculcated with the explicit and implicit biases and incentives of their employer.

Trusting an ML model in any of these cases is guaranteeing the worst case possible scenario… at least the human in the loop MIGHT choose not to act in its employer’s interests.
Last time I checked overall BTC has gone up in value over the last 5 years and by a large margin unless you bought at all time highs. The statement it lost value through inflation doesn't even make sense.
"Nobody is going to waste time indulging in my sealioning, so they're liars."

I'm also not going to waste my time indulging in it, but it's worth pointing out for passers-by that that's exactly what this is. It's a low-effort rhetorical gambit designed to waste time demonstrating from first principles something that the questioner isn't going to change their mind about anyway just because somebody more clued-in than said questioner sighed and pulled up EO 13769 to cite chapter-and-verse.
Nice project, I have been working on something like this using pyqt6, something that scans news sites, dumps the urls in a locally running Postgresq, and can grab urls for me to display in a built in web renderer component.

I have lots of ideas I want to implement inclcuding storing all this data using embedding layers and the ability to deconstruct the html in use.

My last thought was that I want to take the 'articles', pull out the content, redisplay using django or a smaller web server, and replace the ads with positive affirmations such as "you are doing great!", "great job on your excercise". I figure I can even use deep learning to generate fake ads that look like normal ones but only serve to uplift me!
It's because they couldn't easily draw letters below the line. It was all block-aligned. They used blitted bits from a lookup table and copied them into squares on the screen that did not vary from letter to letter
Should you remove the human and then expand scope (Waymo)? Or expand the scope and then remove the human (Tesla)?

I dunno. I personally think the Tesla approach is fundamentally better because it obtains more data, faster. Millions of miles per day rather than millions of miles per year, with better macrodiversity to boot. However, that's just a heuristic: we've got a Tortoise and Hare scenario and as the parable teaches us, it's not so difficult to imagine a scenario where slow and steady wins the race. Even though I favor the Tesla approach, I could see this going either way.

That said, I do think it's uncharitable to read failure into Tesla's high level decisions. They could have chosen the Waymo path and dumped all their effort into maximizing reliability on a small scenario subset. They chose not to. There are Andrej Karpathy interviews about it. They wanted to data-max. They data-maxed. Now they have 300x the data collection rate of Waymo. That's not failure, and it may even be a killer advantage. We'll see.
Having a company an industry dependent on generous subsidies from states is a race to the bottom. TSMC will just pit you against other countries on the basis of "which one of you is gonna give us more of your tax-payers' money and we'll build our fab there"
Heh. I once spent two days trying to understand why Fortran didn't know what cosine was. I had overshot the "oh" key and hit the "zero" key. Trying to spot the difference between "COS" and "C0S", on those fonts, when I didn't even realize that's what I was looking for, was... non-trivial.
Billionaires doing billionaire things.
"Normal" is a function of one's social environment, so for many people, having 2 to 6 beers after work every day actually is normal.
From article:

> Trust is really important. Companies lying about what they do with your privacy is a very serious allegation.

> A society where big companies tell blatant lies about how they are handling our data—and get away with it without consequences—is a very unhealthy society.

> A key role of government is to prevent this from happening. If OpenAI are training on data that they said they wouldn’t train on, or if Facebook are spying on us through our phone’s microphones, they should be hauled in front of regulators and/or sued into the ground.

I find it very difficult to believe that big technology could be held accountable to anything by legal means by regulators. They have too large legal teams, and too well written legal agreements, and eulas.

I find it impossible to believe that I, as a person, could challenge them in any way though legal means.
this is a technique called text tiling which separates a document into semantic chunks

https://github.com/Ighina/DeepTiling

https://medium.com/@ganymedenil/how-to-segment-large-texts-f...
1. Get An Introduction to Statistical Learning with Applications in R/Python (aka ISLR/ISLP) by Hastie et al. Read this from cover-to-cover and make sure that you understand the concepts/ideas/nuances/subtleties explained.

2. Keep a couple of Mathematics/Statistics books handy while you are going through the above. When the above book talks about some Maths technique you don't know/understand you should immediately consult these books (and/or watch some short Youtube videos) to grasp the concept and usage. This way you learn/understand the necessary Mathematics inline without being overwhelmed.

This is the simplest and most direct route to studying and understanding AI/ML. Everything else mentioned in this thread should only come after this.
> Melanoma in adults is typically tied back to acute blistering sunburn events that happened before the age of 18 (as you seem to be aware)

I'm curious how this was studied. I feel like that's when everyone gets really bad sunburns because this has to be extremely hard to actually confirm. Doesn't everyone get sunburns when they were in this age category? It's when we are young and irresponsible, putting on sunscreen requires persistence on something that doesn't seem important in the short term (and arguably is a newer trend).

I totally believe that sun damage on your skin causes skin cancer but studying your choices in your younger years to later years seems quite difficult to confirm through research. Wouldn't they need to confirm adults that were diligent about putting on sunscreen their entire life, including when they were kids?