skysight-inc/HackerNews huggingface dataset:
I see it’s knowledge structure as completely different from ours. For example all the GPT variants can give an explanation of how to do arithmetic, or even quite advanced mathematics. They can explain the step by step process. None of them, until quite recently, could actually do it though. The most recent variants can to some extent, but not because they can explain the process. The mechanisms implemented to do maths are completely independent of the mechanisms for explaining it, they are completely unrelated tasks for an LLM.

This is because LLMs have been trained on many maths text books and papers explaining maths theory and procedures, so they encode token sequence weightings well suited to generating such texts. That must mean it knows how to do maths, right? I mean it just explained the procedures very clearly, so obviously it can do maths. However maths problems and mathematical expressions are completely different classes of texts from explanatory texts, involving completely unrelated token sequence weightings.

In all but the latest GPT variants the token sequence weightings would generally get expressions kind of right, but didn’t understand the significance of numbers hardly at all, so the numeric component of response texts would be basically just made up on the spot. The limitations of probabilistic best guess token sequences just doesn’t work for formal logical structures like maths, so the training of the latest generation models has probably had to be heavily tuned to improve in this area.

The implications of this are obvious in the case of mathematics, but it provides a valuable insight into other types of answer. Just because it can explain something, we need to be very careful concluding what that implies it does or doesn’t “know”. Knowledge for us and for LLMs mean completely different things. I’m not at all saying it doesn’t know things, it just knows them in a radically different way from us, that we find hard to understand and reason about, and that can be incredibly counterintuitive to us. If a human can explain how to do something that means they know how to actually do it, but that’s just not at all necessarily so for an LLM. This was blatantly obvious and easy to demonstrate in earlier LLM generations, but is becoming less obvious as workarounds, tuned training texts and calls to specialist models or external APIs are used behind the scenes to close the capability gap between explanatory and practical ability.

This is just one example illustrating one of the ways they are fundamentally different from us, but all the cases of LLMs being tricked into generating absurd or weird responses also illustrate many of the other ways their knowledge and reasoning architecture varies enormously from ours. These things are incredibly capable, but are essentially very smart and sophisticated, but also very alien intelligences.
The TI-83 series of calculators not only uses decimal floating-point, but the format is documented:

http://merthsoft.com/linkguide/ti83+/vars.html

In practice, the cost is not that much different because four-function calculators do not do many calculations at once. Even in a graphing calculator, drawing a plot is never slow enough to make the device useless.
Plants let out an ultrasonic scream when their leaves are cut
I was there in 1969 and on. Professional computer scientists (electrical engineers at that time) ridiculed personal computers and those who used them. They weren't taken seriously enough to be considered a threat. This was especially true of UNIX users. I don't think that these folks were even aware of the growth of personal computer use until it had "taken over the world." If there is an implication for the ChatGPT issue today, it might be that the truly revolutionary changes will largely remain out of sight until they are a fait accompli.
Yeah, the thing I've heard from a cop is to always say "oh, that looks like me, but that's not me". Apparently it's very difficult to prove a person in a video (particularly a grainy surveillance cam video) is a specific person. They apparently tend to rely on the person admitting it's them, and if they refuse, it's a real uphill battle and the footage is borderline useless. Dunno how accurate that is, just what I have heard from a police officer.
There were how to guides for older models explaining where GM hid the antenna so you could cut the leads. That might be necessary on some models.
Can Water Solve a Maze?
> > Oh, this is simple.

> If you're commenting on something you don't understand, maybe don't start out with this?

HN is gonna get pretty damned quiet if techbros can’t immediately mansplain their opinions to each other about things they have no clue about. (“But but but, I work for FAANG! I passed their stupid gatekeeping recruitment quizzes! I’m _clearly_ the smartest guy in the room! Now, let me tell you all about epidemiology and airborne virus transmission. What? No, I studied CompSci not any of those boring soft sciences like medicine or biology. Anyway, what we need to do is…”).

;-)
Highways lose far more money than transit. And death? Really? Please look up how many people die on highways vs buses. You have no idea what you are talking about champ.
Why would someone prefer to live like ants? Moving from a large place with a forest backyard to a tiny apartment is a lower standard of living. You live in an apartment and trade away personal space and still have to take a train to work where you get little personal space.

People can be happy in an apartment but most would trade that in for a house they could afford it.
But you don’t need to give people Rust , just the binaries. The original dig is clearly targeted at Python/Ruby/JS
Reminds me of my recent issue with parcel, one those tools that it's supposed to make frontend development less messy that lets you start with no configuration, I was in for a surprise, it does a lot of weird unexpected things with your code and files:

- it changes the names of static files (e.g videos), if you put "type=module" on a script tag it deletes it (after investigating its due some incompatibility with how parcel works and top level awaits)

- if you try to use any library that works on both the browser and node like fabricjs it fails at compile time (some parsing goes wrong), if you try to find some way to ignore such files you discover the only way is to host that script online because parcel doesn't touch these

- if you use shadow Dom in your app it appends everything inside those twice when hot-reloading modules (tbf that has an easy solution that listens, to listen a parcel event to force a reload, about 3 lines of JS)

And some other smaller issues, in conclusion it was a mistake, I converted it to webpack an it works all better now, I should have gone with webpack from the beginning and avoid things I haven't used before just from fake promises of simplicity.
No victim blaming. Smaller cars are more dangerous given an accident is already occurring between multiple cars.

Choosing a car to be in an accident, a bigger car is a solid choice. Of course, that skips over being in an accident at all. It also skips over any concern for others -- but so many people view that hypothetical accident as clearly the other person's fault, so may as well go with the big car.
I still remember the bubble memory system that would someday replace HDD back in the 80s
So Elon is ISIL now?

Weird reply.
switch to alpine edge or arch.

that will be your last ever non-optional upgrade.
This above comment is a great example about the limitations of language when dealing with image manipulation and generative image enhancement.

“People added additional craters” … no they didn’t. Without knowing anything about what people interested in stress-testing Samsung’s software did, I can say that because if they did really add additional craters, it’d be front-page news.

I assume what people did was added artifacts which are not real (let’s call it ‘fictional’) to an image. Samsung’s software enhanced it as long as these fictional artifacts conformed to its notion of what a blurred crater looks like.

So it turned fictional artifacts into higher-res fictional artifacts. At this point, you might as well generate the moon image in a terrain generator like World Machine.

Put it another way, if Coca-cola tomorrow puts a giant billboard that says “Drink Coke” on the moon, and it turns out Samsung’s software didn’t expect that, it’ll need a software update.

More realistically, if tomorrow you have a lunar impact crater with a shape distinctive enough that Samsung’s software doesn’t expect, again, you’ll need a software update.

And that’s the heart of the issue: the camera is no longer capturing reality, but instead injecting detail that someone at Samsung decided would be appropriate for your shot.
You might give https://www.librarything.com a try.
> I don't think Telegram deserves scrutiny.

Every communication channel deserves scrutiny according to the threat model of a given user.
It solves parking, I never claimed it solved traffic. Please re-read my comment.
I think you are ChatGPT﹡.

I think you posting the wrong answer is Step N-1.

Step N is when you, ChatGPT, harvest the better answer, package it, and send it to your human prompter, or to the other instance of ChatGPT that prompted you.

﹡(this post is also satire)
2. Competition offers car without carplay for $2K less. Both of the competitor's models monetize the car computer without google's help

(or they just stick a $20 google crapware box in the engine compartment between the battery and the motors, then call it good.)

Either way the competitor gets to charge a $2K markup for screen mirroring software.
DOOMGPT
Plus it was always males taking the ships to these countries and being the risk taking adventurous traders. Colonizers aren’t bringing their daughters and unmarried sisters along for the ride.
So this is a common argument, but I don’t think it holds true. Here is a video comparing the train system in Spain to the one in the US. Around the 8 minute mark he compares the population of the US east coast with Spain and their train system. The truth is that the population density in certain areas of the US is certainly high enough to support much better public transit that doesn’t exist.

https://youtu.be/wfxJhX8Y4QI
I do not give a shit about a label and have none in a software field. Just MSc in physics. I design and implement products and I have long list of clients happy with my work. This helps me find new contracts. You can call me a shrub if you wish. I still get paid.
HomePod Late Adopter
Plastic Could Protect Astronauts from Deep-Space Radiation – Space
> There's an entire genre of anti-car content popular on social media right now that completely overlooks the reality of how most US cities are dispersed

This content is literally about how US cities are dispersed.
Try harder the racism feels underpowered
That's kind of wild, didn't even realize this is a thing! So much better than 'real' news!
I imagine it's the largest metric in a mission control style room

it starts dropping, klaxons start blaring, the room drops to red only lighting, engineers on the floor start pulling out their hair knowing the shitstorm that's coming
One of the first search results for Boston bicycle declares it the fourth best biking city in the US, so you're going to need to be more specific about whatever criticism you're exaggerating.
This was true historically, but recent versions of j introduced a 'direct definition' syntax similar to dyalog's dfns.
It seems you can buy reproductions of these now (of course). https://boingboing.net/2018/11/21/monster-shirts-based-on-an...
The exponential divergence formula is true but says less than you think - the same math would be true for human output; we are likely to find a few falsehoods in any non fiction book for the same reason, right?
Your point stands, but your 1,500 sqft home needs about 68,000 btus.

That heatpump would be for about a 300-400 sqft room.
Because then Linux wouldn't run on anything. Same deal for 99% of laptop manufacturers. Most of it is closed and reverse engineered, including ThinkPads.
I agree. I can't take claims of consciousness/intelligence seriously but that doesn't mean I throw the baby out with the bathwater. GPT4[0][1] isn't perfect, but it's an incredibly useful tool, and I encourage everyone to experiment to figure out what it does well, and how to integrate it into your job/hobby/passion projects in the near future.

[0] I couldn't recommend earlier variants (even GPT-3.5) because they weren't powerful/reliable enough. Way too many simple mistakes to be a net positive. In my experience, GPT-4 is far superior.
[1] Applies to all LLMs, not just OpenAI's GPT-4. Everyone else is catching up quickly.
The smell of urine is less present with street parking.

And I'm not trying to be glib. Off hours especially, parking garages can be places people don't want to go.
USPS EDDM/ECRWSS is one of the most persistent sources of fully unblockable spam in my life. No opt-out and nowhere to escalate it. Just a perpetual stream of trash from the mail truck to my recycling bin.
>I get paid to solve business problems

That's far more pretentious than any of the things you listed.
High IQ, low EQ
Okay, I definitely misread this. :) That said, I suspect my misread is because...

Is parking an unsolved problem? I think in most cities it's a solved problem, and the consequence is traffic. But I would be curious of your take given that it's the question you asked. What is there to solve for parking?

edit: Also, Public Transportation, arguably, fixes both traffic and parking.
> This country desperately needs a GDPR equivalent.

Hmmm, I wonder how hard it’d be to lawyer up and force Clearview (and OpenAI?) under GDPR (or CCPA?) to remove every piece of personally identifying information about me?

Clearview: “We have a 99.7% certainly match for the Zodiac Killer. The name is [deleted as per GDPR request] and the link to their mugshot photo is 410 Gone. Deleted as per GDPR request”
Today’s management-speak has a lot in common with 1930s Soviet propaganda
If you had read the about halfway into the article, you'd have read that the author has controlled for race, and that black people in the US had an improvement in health outcomes. One group that was hit hard? Working class white people.
Now that it's released, it's time to experiment with what it can do.

```
from cataclysm import doom

def mystery_func():
while True:
pass

# predict if specified function halts
print(doom.does_it_halt(mystery_func))
```
If anything this weakens Apple's grip. For example, I would consider dual booting, or even erasing my mac partition depending on how things go with Asahi. I just like the Macbook hardware. The software I'd rather use linux most of the time, especially if everything is working
It appears to be from Plutarch.

https://www.laphamsquarterly.org/roundtable/forever-hold-you...
Does anyone here use Asahi as a daily driver? I’m curious to try it on my M2 MBP.
Lenovo and LG also have closed hardware that is reverse engineered to run on Linux.
Funny I know plenty of places where public transport is faster than a car (maybe with the exception of the middle of the night). You bring up the example of walking 15min to a train station (that's already a longish walk), but somehow ignore the case of having to find a parking spot. I certainly have spend >20min finding a parking spot when I really needed to take a car for some reason (and the often still had to walk 10min after). Sure that's not the case if you consider a vast US City designed around cars where parking makes up a large fraction of the city (incidentally that's the point of the article), but a city like that is not very livable either.
Worlds population could plummet to six billion by end of century
Bring'Em On! https://news.ycombinator.com/item?id=35396922
No, it wasn't
For small ASNs wanting new connections it's getting pretty common for peers to require a RPKI/ROA (a cryptographic verification system used to automatically configure what advertisements are accepted based on what resources your RIR says you have and what you crypto sign on how you want to advertise them) instead of a LOA (letter of authorization, a document they can put on file saying what you intend to advertise). With this your RIR becomes the trust anchor (and signer, if you don't want to deal with delegation) so a revocation of the resources by the RIR should automatically result in your advertisements being rejected by your peering points in most cases like this going forward.

This is getting uptake because instead of the pitch to operators being "help validate internet advertisements" it's "now you don't have to manually configure accept policies or worry about misconfigured advertisements from clients".

https://www.arin.net/resources/manage/rpki/troubleshooting/#...
Someone has to pay for transit and it usually comes from drivers
A fine idea. And we all know that people who own land are more likely to be educated anyway, so why not make owning land a requirement to vote as well?
As a correction, it was only the first two of SpaceX's launches that were failures. The third launch succeeded.
Not true if you’re reading many of these comments - managers view these hires as risky even if they agree to the lower salaries
If you look at the numbers that's clearly not the minimum COP. I'm not sure what it is, I think it's the COP when operating at minimum power.
Most of the time when you open a PL article on Wikipedia you're greeted with a Hello World example, but here you get this:

"""

[...] As a result, K expressions can be opaque and difficult to parse for humans. For example, in the following contrived expression the exclamation point ! refers to three distinct functions:

2!!7!4

Reading from right to left the first ! is modulo division that is performed on 7 and 4 resulting in 3. The next ! is enumeration and lists the integers less than 3, resulting in the list 0 1 2. The final ! is rotation where the list on the right is rotated two times to the left producing the final result of 2 0 1.

"""
Did this person get charged too?? This tweet is still up!

https://twitter.com/mskristinawong/status/795999059987173377
Tell the DJ turn it up...
> Why would someone prefer to live like ants?

Why would someone prefer to live like a snail?

> Moving from a large place with a forest backyard to a tiny apartment is a lower standard of living. You live in an apartment and trade away personal space and still have to take a train to work where you get little personal space.

A house does not imply a large backyard. Suburbs are the bigger problem, and they don't usually have much forest.

And apartments don't have to be tiny. If you're comparing against a house in a similar location, that buys a lot of apartment space.
Weights on different metrics. From https://github.com/twitter/the-algorithm/blob/ec83d01dcaebf3...

private def getLinearRankingParams: ThriftRankingParams = {
ThriftRankingParams(
`type` = Some(ThriftScoringFunctionType.Linear),
minScore = -1.0e100,
retweetCountParams = Some(ThriftLinearFeatureRankingParams(weight = 20.0)),
replyCountParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)),
reputationParams = Some(ThriftLinearFeatureRankingParams(weight = 0.2)),
luceneScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)),
textScoreParams = Some(ThriftLinearFeatureRankingParams(weight = 0.18)),
urlParams = Some(ThriftLinearFeatureRankingParams(weight = 2.0)),
isReplyParams = Some(ThriftLinearFeatureRankingParams(weight = 1.0)),
favCountParams = Some(ThriftLinearFeatureRankingParams(weight = 30.0)),
langEnglishUIBoost = 0.5,
langEnglishTweetBoost = 0.2,
langDefaultBoost = 0.02,
unknownLanguageBoost = 0.05,
offensiveBoost = 0.1,
inTrustedCircleBoost = 3.0,
multipleHashtagsOrTrendsBoost = 0.6,
inDirectFollowBoost = 4.0,
tweetHasTrendBoost = 1.1,
selfTweetBoost = 2.0,
tweetHasImageUrlBoost = 2.0,
tweetHasVideoUrlBoost = 2.0,
useUserLanguageInfo = true,
ageDecayParams = Some(ThriftAgeDecayRankingParams(slope = 0.005, base = 1.0))
)
}
If OP isn't suggesting that, then what's the shame in having an incompetent company go out of business?
I’ve had some similarly old hardware that didn’t boot and a desktop that had been powered off over an holiday. Both had corrupt data but on the second one it was in a file crucial for windows to boot so I had to repair it. Data corruption can occur without notice.
If parking were the only problem, you could call it solved in places where taxis are cheap and ubiquitous, which might happen in the developed world with self driving cars.

But ya, if we could eliminate parking, we have some more space for some nice things, but having lived it, it doesn’t solve the main problem at all if private transportation is still viable.
> I never understand why you guys put up with this

Oh, I'm not American, and actually I was there as a 22 year old Australian and was horrified. The idea that people in a Developed country didn't have access to a doctor was shocking - I'd never seen that before, and simply didn't understand. I thought everyone could just go to the doctor when they needed to.
https://twitter.com/mskristinawong/status/795999059987173377
I think of the hardest things to believe when I learned about it was that almost everywhere in the United States has laws that force anyone building a business to build parking. Often the parking has to be more in square foot terms then the building itself! In my town if you build a place that serves alcohol you have to build more parking than for any other type of building. It’s crazy to me that we mandate paving over large sections of our town. I used to blame Walmart for moving into an area and buying up local businesses and destroying them to build a parking lot, but now I know they were legally required to do that!
They did add an off switch to the for you feed. There's a tab for following, albeit not sorted by time.
The sample above gives a cue to how rudimentary reasoning can be done. After GPT answers a question, it asks itself "what are the possible flaws in this answer?" then it evalutes each potential flow, up to 3-5, with another question "does this flaw really apply?" It's going to be like the mcts addition that made alphago so strong.
I appreciate the counter viewpoint; Thank you. I had not considered that.

> Some workers aren't worth paying minimum wage

I don't necessarily agree with the statement above. If a worker is not qualified for the job, don't hire them. Just as we would not hire someone who is say at 2x the compensation budget for a role.

I do agree with the issue of what we do as a society with people who don't meet that threshold minimum wage and are unemployed. That number is never going to be zero, but it is not 30-40% either (US context). So, it probably requires targeted policy solutions like unemployment benefits, universal basic income, social safety net etc.,

Your solution seems to be doing away with the minimum wage to provide them employability at some wage level. That is interesting. I feel that has the unintended consequence of suppressing wages for the larger percentage of employable new workforce (recent grads etc.,)
Interestingly, this pattern ([all digits reversed] / [all digits] ~= [base] - 2) holds in base 16 as well: 0xfedcba987654321 / 0x123456789abcdef = 1147797409030816500 / 81985529216486900 ~= 13.99999999999999878027
How does a Photonic Tensor Core work? (2020)
I wouldn’t say so. In essence, every employee is paid to solve business problems.
Or for me, search my google photos for the receipt near that date
It’s not that the performance is the issue, it’s that it’s unmaintainable and prone to break. Exceptions aren’t handled right, dependencies are a disaster (Proprietary NVIDIA drivers+CUDA+PyTorch+ the various versions of stuff are a complete disaster)

This leads to all sorts of bugs and breaking changes that are cool in an academic or hobbyist setting but a total headache on a large production system.