skysight-inc/HackerNews huggingface dataset:
You're greatly underestimating the effect of good photos. As a bi guy, I've seen my share of both men's and women's dating profiles. The general trend: most profiles are terrible. Of the decent ones, women tend to have good photos, but shitty/non-existent bios, and the men tend to have good bios but bad photos. Only a small fraction of people combine both to make really compelling profiles.

So for men, the biggest improvement they can make is take more photos of yourself in hope for some good ones and maybe get some professional photos taken. What constitutes a good photo? In descending order of importance: 1) they want to be flattering. You'd think this would be obvious, but far too many profiles have photos that actively highlight negative features of their subject. If your hairline is failing, have photos with hats on. If you've got a beer belly, don't have side-facing photos. Etc. 2) They should suggest that you do fun things, and are thus likely to bring a potential date to such fun things. Nature shot, beach shot, interesting place shot. If you have some interesting hobby, maybe an action shot of you woodcutting/flying a model plane/intricately painting plastic figures. 3) Since this is a forum for tech workers, you probably have more discretionary income than average. *Subtly* demonstrate that.

Ultimately, what it boils down to is that everyone knows your profile pictures are going to be your absolute best photos of yourself, carefully crafted to make you look your best, overselling reality substantially. If you put bad pictures in your profile, people will STILL ASSUME THAT, and thus assume you look even worse.
"That doesn't look like anything to me"
Big YouTubers have seen the writing on the wall, and have been diversifying income streams for years. A lot of artists are migrating towards the "patron" model (think Renaissance patronage, but crowd-sourced) using tools like Patreon or Liberapay. This strikes me as inherently more pure than throwing videos at Google's algorithm to see which one can bring home the biggest slice of automatic-ad-revenue pie.

The attention economy is doomed, too many people are online now for it to be viable. Patronage and connecting with followers will come to dominate. Not to oversimplify, but there's a theory that all an artist needs to be financially stable is 1,000 true fans chipping in a few dollars a month. Google's YouTube middleware currently occupies a comfortable niche in the bringup process required to meet that figure... but they're ultimately nonessential.

As the bubble shrinks, creators will look back and wonder why they ever bothered driving millions of random people toward a platform that mostly pays out to Google.
Metal robot can melt its way out of tight spaces to escape
It's neither.

Real/fake books have the changes and the head, not the solos. They're very generic recipes. This is more like a spectrographic analysis of a complex spice blend.
In the case of static HTML/JS/CSS, the webserver will make the source publicly available to your browser anyway, so that's not really an issue.
If you don't store it in sealed containers, they can draw a pantry weevil infestation (as can most dried goods, including cereals, rice, and pasta). They aren't inherently toxic and only a full-on infestation will cause spoilage, but they're obviously not palatable in any quantity.

You can prevent them by simply putting things like flour bags in air-tight sealable containers. If you catch some weevils in a bag of flour before it turns into an infestation, you can freeze the flour for four to six days to kill any eggs and larvae and sift out the remains.

If you don't mind the very slight possibility of flavor contamination, you can also store garlic cloves or bay leaves openly near your flour, which naturally repel weevils.
And that’s the way it’s done.

I’m old enough to remember the moral panic about graphing calculators making calculus a lost art, and I’ve been told of similar panics about plain old calculators.

Let people in college and post-grad dive deep into the details. The vast majority of people need to be educated on how to use the tools at their disposal to do tasks they need to do.

The sooner we recognize that AI is here, and it’s another tool, the fewer people will be disadvantaged in the future because they don’t know how to use common tools.
"If a stock exchange executes trades at incorrect prices, even for a short amount of time, all of a sudden you're in a kind of non-linear sigmoid regime, where investor confidence can suddenly tip into panic selling and recessions can be triggered."

This is false equivalence and slippery slope.
There is a good chance that the failure mode of the algorithm is to yield an invalid solution, not a suboptimal one, so in that case you do not even need to know the optimal solution. Besides that you are not going to find a counter example by generating random instances, you will be carefully constructing it with spacial properties to make the algorithm fail. Because of the special structure you might just be able to figure out the optimal solution in your head. And I would guess that you can construct a counter example with ten or so cities and you can easily brute force a few million or billion paths. If you need twenty cities however, things look already different but there are solvers that should still easily deal with those cases.
Yes. Clicked around for a few things because I remembered their german branch from a few years, nothing has changed. At least not for the few parts I checked today.
The timeline is interesting but I think it's slow enough for regulation to catch up.

This shifts the focus of problems from many different places to one. In the article you linked, it mentions alternatives to reduce lithium needs including smaller batteries, and battery recycling.

This is much easier to regulate, and there is plenty of time to do so - although yes this is putting some trust on governments doing the right thing.
> Defendant (as dictated by AI): The Supreme Court ruled in Johnson v. Smith in 1978...
> Judge: There was no case Johnson v. Smith in 1978.
> Defendant (as dictated by AI): Yes, you are right, there was no case Johnson v. Smith in 1978.
Unless your name is Ben, in which case I'd advise caution.
https://www.thedrive.com/news/toyota-ceo-akio-toyoda-steps-d...

"However, reports from Nikkei[1] and Reuters[2] attribute the decision to the automaker's slow response to a rapidly changing automotive industry, specifically the adoption of electric vehicles. "

[1] https://asia.nikkei.com/Business/Companies/Toyota-s-Akio-Toy...

[2] https://www.reuters.com/business/autos-transportation/toyota...

and more

https://www.bnnbloomberg.ca/toyota-appoints-lexus-chief-as-c...

https://uk.finance.yahoo.com/news/toyota-replace-akio-toyoda...
> So dating apps are a waste of time, much better to go out and talk to girls in real life and get yourself out of the synthetic environment apps like Tinder create.

Given your self-description, you're probably not understanding the problem from the men side. The problem is - how, specifically, to go out and talk to girls in real life.

As Elon Musk says, let this sink in. We're talking here about modern times, where people have less opportunity to contact each other - and the problem existed way before, now it only became harder. The main chunk of the problem is that it's unclear how to arrange for a lot - enough - opportunities to talk to girls in real life so that the results would be sufficient.
I'd go old schoolish-ish with Rails with Turbo or Phoenix LiveView (both with PSQL) + maybe some CF Workers.

We see no reason to use extensive front-end as it has only downsides now - it loads longer, it exponentially balloons stack, it requires to hire front-end guys, it is not needed anymore for DOM manipulation.
Apple extends Chinese censorship to Hong Kong users
> The trick will be to maintain parity. This may be a fool's errand, but that point is key. It may be that only 0.01% of intellects eventually maintain symmetric conversation with AI, but that is important, nonetheless.

We're putting a lot more energy into making machines smarter than into making humans smarter. Maybe it's because the former actually seems possible ;)
https://www.d2xlab.com/app

I built an interactive viewer/editor for time series.
that can load data from text files.

In my previous job, I spent a lot of time dealing with time series collected from various simulations and measurements, so I wrote a desktop app. When I quit I was missing the tool so I partially rebuilt it in the browser!
Yes it's true that LLMs hallucinate facts, but there are ways to control that. Despite the challenges they can spit out perfectly functional code to spec to boot. So for me it's not too much of a stretch to think that it'd do a reasonably good job at defending simple cases.
Fundamentally, because big-O notation operates on the size of the input, not the number of elements in the input.

As a trivial example, let's say you represent each city by their latitude/longitude encoded as integers, with 0 being ...well 0, and 180,000,000 being 180W. Let's also say you can encode each city's longitude with 0 meaning 0-90W, or 1, meaning 90-180W and its latitude 0 being 0-45N and 1 being 45-90N. The second encoding is a much, much, MUCH easier problem for a large number of cities. By using a small, fixed number of bits, you've effectively capped the size of your input as 4 bits. You just have 4 locations a city might be in; you can solve this approximation with a simple 16 element lookup table. By discarding bits in the city's coordinates, you're approximating the solution, not finding the exact solution.

This is not just a triviality. The dynamic programming algorithm to solve subset sum runs in O(MN) time, where M is the number of integers, and N is the sum you're looking to achieve. Running subset sum on 1,000,000 numbers that you want to add up to 100 is going to run in milliseconds, but running that algorithm on 1,000,000 numbers that add up to 1,000,000,000 is going to take a while. (10,000,000 times as long) Subset sum is NP-complete, but it's only NP-complete because you're not talking about the value of the sum, you're talking about the number of bits it takes to represent the sum. One of the other problems in Karp's NP-completeness paper reduces to subset sum by summing up 1s or 0s shifted by i bits for each element in the input; so if there are 7 elements, the N for subset sum will be on the order of 2^7. If there are 1,000 elements, N for subset sum will be on the order of 2^1,000.

You can approximate subset sum by dividing every number by some constant. So if you want to know which integers of 3,4,5,6,7,8 sum to 12, you can divide everything by 3 and figure out which integers of 1,2,2,2,3,3 sum up to 4. (round up) If you were to take that 1,000 element problem, compute the sum to be some ludicrous integers on the order of 2^1,000, then divide everything by 2^980, and then solve the approximation in O(M * 2^20) time, what have you done? Well you've simply discarded 98% of the inputs. You haven't gained anything by reducing to subset sum and approximated the solution; you could have simply discarded all by 20 of the inputs and solved that with the brute force algorithm, whatever it is.

That's what this paper is doing by handwaving away the low order bits. They're saying you can solve TSP in O(m^k * n^j) time, where m is the number of cities, k and j and some arbitrary fixed constants, and n is the number of bits in the mantissa of your floating point scheme, ie, only if n is a small fixed constant. They've found an approximation of an NP-complete problem, which is something we already have in droves.
I can imagine with things like this there come a day when sitting in a library someone spies upon another reader reading something they claim is triggering them. Let's say religious vs non religious people or ultra conservative vs ultra progressives. Or any high voltage topic with extreme opinions.
What is "valley" is this referencing the Silicon Valley?
Hydrogen still requires a distribution network yah? The electric distribution network (electrical grid) is already here, and every building and house has a hose. Incrementally upgrading that infra seems light years better than building a hydrogen distribution network.
ChatGPT does some really impressive stuff! As a creative tool or a code generator it can give you some good material to work with.

But the hype has been insane, totally untethered from reality. I think it's the instinct to assume that something which can mimic human speech quite well must also have some mechanism for comprehending the meaning of the words it's generating, when it really doesn't.
A free orders of magnitude in performance?
https://nocodefunctions.com

No registration needed. Free. Open source.

Web app offering click & point best-in-class data science functions for text mining and more.

Developed with love since 2021.

Purely in Java, front-end included - have a look!
Mining for combustion cars also breaks havoc and nobody cares.
It would be best to reduce our car dependence, but I guess a new electric car is still better than a new combustion car.
FIRE is a relatively new free speech advocacy organization started after the ACLU abandoned its very principled stance on free speech rights, which it had adopted in the 1970s, mostly famously in the Skokie Case where it supported a neo-Nazi organization.

Now, many of the organizers and funders of FIRE clearly have conservative leanings. But as far as I can tell, so far FIRE's advocacy has been just as principled and non-partisan as the ACLU once was. See, for example, FIRE pushing back against de Santis' retaliation against Disney: https://www.thefire.org/news/blogs/ronald-kl-collins-first-a... Or this recent case opposing a school board's overly broad censorship of sexually explicit material in its libraries: https://www.thefire.org/cases/penncrest-school-district-bans...

But, yes, by appearances many of their high-profile cases involve liberal colleges, but that's because of the strain of pro-censorship ideology which has become prevalent in liberal circles, causing a dramatic swing in the left's attitudes regarding free speech. Today, advocacy for expansive free speech rights has largely fallen into the hands of a mishmash of cross-partisan people and organizations, more so than in the past, where support on the left had once been more prevalent. And funding, specifically, now seems to be coming more from the right. But if once upon a time the ACLU, whose membership and funding predominately came from the left--even decades ago, not to mention today--could do it, then there's no reason why FIRE can't.

OTOH, the ACLU did a 180 on free speech because over time too much of its membership and, especially, funding came from the left.[1] And the left's attitudes wrt free speech has changed. So hopefully FIRE will make it a priority to expand its funding and membership bases, so it's less susceptible to political shifts.

[1] This isn't a rant against the ACLU. They still do alot of good work. The ACLU has been having these debates in the public for years, and plenty of long-time ACLU supporters have become disenchanted with changes at the ACLU, including previous ACLU leaders, particularly wrt free speech. The reasons for changes at the ACLU are well known and not seriously disputed. The only disputes concern the philosophical justifications for the changes in policy.
> The devspeed differential between things like C#/Java/Go and Python/PHP/Ruby is large only at the very beginning of your project.

That's a massive hard-no for me. I generally only get faster the longer I get to work with a Ruby codebase, as I get to make it more and more into a DSL for the business situation. I never saw that happen with compiled languages; my speed tended to remain constant after the initial boot.

I know what you're talking about tho - it's the sharp knives + large team problem. The language doesn't maintain a standard of code for you, you (and your team) have to do that yourselves, and if you don't, things can very much get bad. If you're programming in a loosely typed language such that you're effectively having an explosion of types, you're suffering one of the more common downsides to typed languages and you're not using the common upsides to loose typing.

That said - when I'm working, the main difference I've seen with Ruby (and, to a lesser extent Python and JS) vs compiled is the iteration loop, particularly due to having a REPL console. Static languages have definitely made some gains there (looking at you, Scala REPL). Being able to drop into both any debug point in the program, as well as a console loaded with your code, makes certain explorative processes substantially faster.
I know which is probably why this was a proof of concept with what would have been abysmal results.
> no real blind spot monitoring system

This is particularly obnoxious when most (if not all) modern economy vehicles have blind spot warning lights in the side view mirrors and yet the best my 3 can do is really janky live camera feeds and a solid red line on the highway visualization - both of which feel very unreliable and also require you to divert your attention to the screen (which is damn dangerous if you’re merging left but have to look right to see the screen).

I just treat my Tesla like a car from the 90s and always do the standard “sideview mirror into the over the shoulder” glance whenever I’m changing lanes.
The preferred stack will be Django with DRF and maybe some htmx, SQLite and deployed on DO app platform.

Alternatively, NextJS with Firebase (or any other cloud DB) and deployed at Vercel.
Same with Mastodon, same with Tor. Abstract software people forget that at some point we run into the real world. The glyphs of science and math are not holistically representative of reality, but minified abstraction of reality for portability; it would take many more books to capture all of physics in English, so simplified languages over loaded with meaning to save space came about.

Social media seemed novel af but it’s resolution was the extent of what our computers and networks could handle at the time. Not some finally destination.

Especially with future hardware, RTX 6000, or whatever they call it, and beyond making novel content generation via ML a thing anyone can do, social gabbing in filter bubbles seems even more likely to be on its way out.
It's so funny to me that a few pounds of lithium brings out so much hand wringing, whereas all that copper and even ton(s) of steel does not. Or for that matter, the far more massive amounts of hydrocarbon extraction!

If somebody is even half serious about these concerns, they had better be advocating for extreme reduction in car use. Otherwise it's pure hypocrisy.
As a resident of the state in question, I'm curious as to why this comes from our state. Did paypal not have to report this anywhere else?
Everything you enter into chatGPT is logged. https://openai.com/privacy/
Tried to get back to university as a means to socialize more, in my 30s. It didn't work as intended, because attending classes while holding a day job left very little time for actual socialization with my colleagues. Ended giving up. I think it would have worked better with more free time to invest on it.
The newest buildkit shipped a regression. This broke the Docker go client and containerd's pull functionality. It has been a mess: https://community.fly.io/t/deploying-to-fly-via-github-actio...
For starters, EU law requires the right to return no-questions-asked within a minimum 14 days (many places honor 30 days).

In the US, there is no such law, though many retailers do it anyway. Some states, however, have implemented such laws, but it's not nationwide.
Hydrogen fueled cars are also electric. They are not that far.
Congrats! Shameless plug (Original Author and Founder) - Go High Performance alternative (http://github.com/cloudquery/cloudquery). no backend, no ui, everything stateless, as code and you can run it anywhere including ECS.
Hello Transcribe – OpenAI Whisper on iOS (2022)
It was a reference to bygone days, but the practice wasn't that uncommon in certain Western countries...
Google hasn't been a trendsetter for a few years now, either (unless you count enforcing web standards with Chrome). Also, calling "relevant industry giant making heaps of money" a failure scenario is quite a stretch.
About 20 years ago, but the people who said it got shouted down and gaslit into accepting blame for being violent
> we don’t need more efficient cars we need fewer cars

I don’t think politically viable, despite being the real solution to the core problem.
I also find the data highly questionable--it's very popular to pretend that prostitution is "trafficking" with little or zero evidence. I recall a news article recently about a bunch of "trafficking" busts--that was the police putting up ads and busting the guys who showed up. Trafficking women requires that there be women in the first place and there were none.

And, no, women who move around a lot and live on-site isn't proof of trafficking--because that's also a way to make it much harder for the cops to investigate and thus a sensible safety strategy for them. I'm sure trafficking exists but I don't believe the claimed numbers at all.
I often pass my business communications through GPT to summarize the key points. The summary usually has all the important information, and I just send that instead.

Now if I could just learn to write that way in the first place, it would save me a lot of time and effort...
>Without specific reform proposals

I think requiring me to write a policy paper in HN comments is a bit onerous. In any event, I can't much help if my mild criticism is interpreted on your part as something deeply nefarious.

>Being ignorant of the value of a service doesn't make that service unnecessary.

The fact that a service exists does not make that service necessary. Or do you always buy the protection plan from Office Depot when you purchase a stapler? Anyway, I agree that the mortgage companies find great value in all of their various fees.
I wish more people would realize that lithium battery production is still pretty nasty, especially in countries like China with minimal environmental regulations. Not to mention the electrical grid will take some significant investment (hopefully in renewable energy sources for this huge transition to make any sense) to be ready to accommodate such a huge increase in consumption.

A dependency on fossil fuels isn't a good thing, certainly not to the extent that we've developed, but I really don't think the answer is as clear cut as everybody treats it to be.
The Ancient Art of the Abacus (2021) [video]
At some point, the illusion that we will be able to avoid changing our transportation infrastructure in the US, will be unmaintainable.

The problem is not in EVs, it's in private automobiles, our settlement patterns, and our utter lack of funding public transportation in all of its forms.
Any tips on non-dairy milks, especially after opening a sealed carton? This only mentions dairy milk. I've heard oat milk can go 10 days in a fridge after opening, but I have no idea how to tell if it's gone bad, and the only advice I get is if it "smells weird", which is useless.
> Who remember your adventures together

Hah.

(GPT and I have a long history of me pointing out that it can’t remember a darn thing, and it never remembering anything. https://news.ycombinator.com/item?id=23346972)

You can prompt it with context, but that’s still only a few pages, not chapters. It’ll be hard to turn in game actions into a coherent prompt, then parse the output to take in-game actions. Both directions are difficult, but I suspect it’ll be much harder to get it to do things in the game in a unique way — i.e. you’ll run into the classic problem of all NPC’s feeling “kinda same-y” without being able to put your finger on why they don’t feel like unique human characters.

On the other hand, it does seem like I’ll be proven wrong within a decade, and I really look forward to it. :)