skysight-inc/HackerNews huggingface dataset:
Not all problems are solvable, not all are worth solving. Not all need to solved fully and not all of those even need to be done automatically.

You often don't need to solve the problem to provide some business benefit.

So. Can you break it down at all? Is there some part of it that has a business benefit?

Can you do it manually, what's the trade-off of time and cost? Can you document it to make it a manual task for a lower level employee?

If not worth doing manually, often it's good to do some of it manually a few times so you get an idea of what's the same / different for different situations.

Can you automate the same parts?

Can you find a way to deal with some cases where it differs?

Can you now solve any of the remaining pieces?

This process can often be done with manual scripts, I forget the right term, where you create a script that prints out what the user should do and asks them to press enter when they've done it. You can then automate parts of it over time.

This kind of process helps have a useful output at all stages whenever a higher priority problem comes along. It's also easier to come back to it in a few months.

And if not, if you can't even do it manually it pushes it more towards unsolveable.

For problems that don't fit this kind of process, I often leave the problem to settle in my mind and talk it through while walking somewhere. Explain to imaginary people what we're doing what we can't do etc. Kind of like rubber duck debugging.

Prototypes, just trying can be good.

Most of all if you can, get an idea of the value of solving it and the value of your time. That helps put an upper bound on how long you should ever spend on it. A problem that causes a £10/mo extra aws charge a month is fundamentally not worth solving for almost any developer salary.

Finally, it's ok. It's ok if the problem can't be solved. It's ok if it's not worth it. It's ok if someone else sees the answer easily.
A horror film is supposed to be dark. Otherwise you'll see the horror is just a guy in a rubber suit.
Small caveat: as an apartment dweller, the way to own and operate my own car is to rent an underground parking space, which will, in time, be retrofitted with a charging plug.

On the other hand, that's definitely more expensive than street parking and not everyone will be able to afford it, so your statement is overall correct for the majority of people.
> SAT doesn’t exhibit the nice properties other optimization problems often have where you can tell when you’re near a correct answer.

You mean like a metric? Not all SAT instances have a natural metric, maybe a large fraction could be relaxed to MAXSAT, but it seems parallel solvers are not very popular in that setting either, i.e., there is no parallel track and parallel solvers are disqualified [1] from participating.

I'm not sure I follow how metrics are related to parallelism though. A naive strategy would be to try every assignment in parallel on 2^n processors. There are plenty of better strategies for search space splitting [2] and stochastic local search [3] algorithms that seem amenable to parallelization.

[1]: https://maxsat-evaluations.github.io/2023/rules.html

[2]: http://sat.inesc-id.pt/~ruben/papers/martins-ictai10-talk.pd...

[3]: https://link.springer.com/article/10.1023/A:1006350622830
Electric cars don't need a front grill — there's no radiator. Putting a big grill on an electric car is as stupid as putting a fake horse head on a horseless carriage.

(and I quite like the look of the Tesla 3 front end.)
Involving others could help. See if they have a solution, if not, maybe not to worry? I wonder what problem you speak of.
it does, you just misunderstood the point. It doesn't matter if it fits, in your screenshot it serves no purpose as the page is not tall enough for me to ever use the scrollbar (and those tiny buttons at the top/bottom are another UI misfeature), so removing a useless UI element makes for a cleaner UI
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I've learned fuzzy logic during my graduate control theory study, but never get what the point of it, at least in practice.

Using your example, if the control system can utilize non-binary, numerical input and do something with it in actuators, then just give it the actual height (in cm). If it can't, then introducing the concept of "semi-tall" isn't going to be helpful.

The example we learned in class is the classic thermostat of an air conditioner. Sure, it would be nice if it can tell between cold, warm and hot instead of a binary 0 and 1, but why not just use the actual numeral value (0.1, 0.22, etc.) then?
IEEE Spectrum's profile on Lotfi Zadeh and the Birth of Fuzzy Logic.
https://spectrum.ieee.org/lotfi-zadeh
but failing to switch their behind the scenes marketing game from traditional print journalism, and the online versions of it, to online only, blog-like car journalism.

Yea, I can't help to notice that my 13 year old, who on the whole knows and cares nothing about cars, thinks that Teslas are the coolest cars ever, has already decided that their first car will be a Tesla and wants our next car to be a Tesla. Brands like Merceds, BMW, Porsche etc. mean very little to them.
Many people associate 2FA with being asked for a phone number, which makes it a burden.
Bummer, better delete my packages before I get locked out for good then.
Googling. Just today I asked Chat-GPT (not 4) for papers or books about some topic, and it gave me five pointers. Two of them contained useful information, the rest was hallucinated.
You mean like how github does in their search page?

You hover click on a method and a side panel shows up with source code of that method
We actually already have water flowing uphill, in the pumped-storage hydroelectricity facilities. So who knows.
Companies are starting to figure out that being carbon neutral is expensive. Something what regular people have figured out long time ago.
Google Bard doesn't operate in the EU so your theory is unfounded.
Parsing Diff Output in Haskell
Upstream 2023: the accidental supply chain
Not at all, you can use any TOTP app and the list does include desktop options. I like https://authy.com/ , from Twilio, and use it both on my desktop and phone. I've started using it to enable TOTP backup/syncing, and I've been using it for PyPI 2FA for years now.

Or you can implement your own, TOTP is not complicated. Here's a Python library that does the heavy lifting for you: https://github.com/pyauth/pyotp .
Well, the entirety of the “Web3” API is a pile of hacks, but my “favorite” is probably eip-1559 (and not for the “political” reasons, like “make eth deflationary”, it's just very annoying to work with).
It’s not impossible if you can earn credits that can be sold. This is why the majority of the world needs to agree on a carbon tax system, yesterday.
Next you'll be telling me that clouds are made of seawater!
In addition to the other replies here, one fundamental difference between probabilistic and fuzzy logic is that fuzzy logic is truth functional and probabilistic logic isn't. Truth functional means, for instance, that if we know the (numerical) truth values of the propositions A and of B then we also know the (numerical) truth values of the propositions (A and B), (A or B), and so on. In probabilistic logic this does not hold. That is, P(A and B) is not fully determined by P(A) and P(B). If A and B are independent, we have P(A and B) = P(A)P(B), but in general we only know that P(A)+P(B)-1 <= P(A and B) <= min(P(A),P(B)). I also believe there's no generally accepted notion of conditioning in fuzzy logic, whereas conditioning is crucial in any probabilistic approach, see e.g. Bayes' theorem.
Wardley maps and the general effort to represent human organization using ontologies (e.g., Business Model Canvas) are quite fascinating (and useful, necessary etc). Yet it strikes me that the whole ontology and mapping effort movements miss an important feedback loop that would elevate these beyond the minimal: "here is another meaningful way to connect some dots on a graph".

What is missing is a widely available empirical basis offering, minimally, validation from actual business developments. For that you need lots of relevant data, pooled from a large number of business projects over long periods of time. Proprietariness and cost are probably the main reasons we don't have that.
> Ah yes the package manager that updates several unrelated packages every time you install anything

It's really annoying that it's doing it by default. To avoid this, add this to your `.bash_profile` / `.zshrc` / etc:

export HOMEBREW_NO_AUTO_UPDATE=1
Imagine that GPT is just another person you communicate with. When they give you new information, how do you guard against them being possibly wrong? You verify the information by other sources.
It was Paganini
Depending on the climate you'll start to see steel (coil and leaf) springs start to rust away by ten years. Meanwhile the Tesla S was introduced in 2012 which puts the majority of the problems in cars younger than your relative's X5.

The previous owner replaced the air bags (springs) on my car so I couldn't say if they actually failed or if he did as part of a refresh when he lowered the car. They're not super expensive, but the aftermarket ones are that much cheaper. Of course the X5 (especially the first generation) is one of the least reliable vehicles BMW's brought to market. It's the electronics and pump that get real pricey, but on the E39 they pretty much never fail.
Trillion dollar corporations that pay taxes and provide jobs are negative things?
The "quality" of the wrong information you get from GPT-4 is very different from a human who is wrong. For example, I wouldn't expect a human to give me a long list of books that don't actually exist without hesitation.
A few points:

a) Most non-fiber connection technologies have limited bandwidth to split between upload and download. If you are offering connections over those, offering a symmetric speed means you are offering a lower max speed (years and years ago, in the single-MBit days, there was a regional German ISP that let you switch your ratio - was very popular with developers and designers at the time, who could reset their connection to be high-upload before sending large files)

b) Only a subset of users cares about high upload speeds (To a degree it's a self-fulfilling prophecy: people are so used to it that most don't even know why they'd want good upstream because they never had the opportunity to do something that would benefit)

c) Some that really want them can be made to pay a lot extra (e.g. for "business class" service, especially if combined with things like static IPs for hosting)

d) some high-bandwidth uses are more likely to cause work for the ISP: people hosting servers (complaints about content etc, attracting attacks), file sharing (rightsholder complaints). Similarly, a customer machine turning into a DDoS traffic source has worse impact if it has high bandwidth
I've been wanting to work on networking for multiplayer online browser games (but not io style more traditional game style) but it just seems like a ludicrously challenging problem for the kinds of games I want to make. Some are real-time, some are turn-based, all would definitely want an effective system for handling disconnects and latency and data persistence.

Trying to work through these is like far harder than any "hard" problem I've seen on leetcode. It actually makes me feel like sick to my stomach when I spend 12 hours on it without making a lot of progress
> Many people associate

I presume package authors are likely to be rather better informed than this?
If you delete your package, can't someone else grab the namespace?

I see that as the main issue if you want to migrate away from PyPI's management practices.

Similarly, if you don't want to deal with PyPI at all, and host your own packages, then it's all too easy for someone else to register a package of the same name on PyPI. Users aren't used to configuring an alternate server.
If it’s true then why not?
This idea is mind-blowing. Imagine humans surviving in nature without any of the technology we have today. There must have been a wealth of 'oral tradition' regarding plants, places, animals, and social norms. People must have been highly physically active, which naturally boosted their cognitive abilities. Social interaction must have been intense and tightly connected to survival.

When I think about all this I feel thrilled and comforted. Sometimes, I wish my life didn't revolve solely around abstract tasks and concepts.
F-Zero Camera 'Breaks the Laws of Physics' by Shooting f/0.3 to f/0.6
Megacorps representative has hijacked most of the foss foundations, especially in the US.
Capturing Co2 requires energy, laws of thermodynamics say there is no way to get free energy.

Any Co2 capture system will undoubtedly be responsible for some small amount of Co2 emissions.
Is that so they can subpoena your phone number as well?
Not just in the US. The amount of chargers is growing by double digit percentages in many countries. Tesla's network is one of the larger and more mature/reliable ones but they are not the only ones by far and there are many billions being invested in this sector. Utilization of this infrastructure remains fairly low. Most of this is being done in anticipation of massive growth in demand in the next few years.

And while people obsess over fast chargers, the real deal is actually slower charging in parking lots, parking garages, shopping malls etc. Those are a lot cheaper and easier to install and they are similar in cost to what people would install at home. Basically, most of the charging happens at home or chargers like that while the driver is doing something else. A lot of venues try to draw in customers by providing them with charging opportunities and they are fairly cheap to install. There are already quite many of those. Hundreds of thousands of them. They're everywhere.

You use fast chargers at a premium when you have to on longer journeys. Plug it in for 20-30 minutes and continue driving for a few hours. Not that big of a deal.

But slower charging is better for your wallet and battery and if you are parking the car anyway, you might as well plug it in to gain a few extra kwh. It won't delay you or cost you much. For most typical EV drivers, that's all they need most of the time. The vast majority of charging is slow charging and it doesn't involve people waiting for that. On average people only drive maybe 10-20 miles on a typical day. That's only about 4-6kwh. You don't need a fast charger for that. Plug it in at home once every few days or at the mall while you are shopping, having some coffee, at work, etc. There are plenty of opportunities for charging even if you don't have a charger at home.
Laser printers are not necessarily cheaper. Business class ink printers have a lower cost/page in many cases.
I like the idea of val.town, each snippet is isolated and can reference to other snippets & packages.

One thing I wish was that other runtimes would be shipped aswell, like Ruby. But I understand that maintaing such runtime is a burden.

I know that Vercel supports Ruby as serverless runtime though, so I know it’s possible.

Other than that, I think val.town will boom in popularity soon. It’s a unique idea.
It's TOTP, a very simple and universal standard, you can use any application you want - many password managers support it as well.
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Some of the guidance given by the Cynefin framework helped me to make better decisions: https://www.everydaykanban.com/2013/09/29/understanding-the-...
Is there a good chatbot with no content filtering?
I understand these probably won’t be on par with the latest developments, but is there anything like this out there? I looked at setting this up locally and it seemed kinda hard to determine if/how someone could do this to a gpt-like bot.
That’s a third party.
Expand your search, and be amazed by how many wars are and have been fought, always, continuously, and forever.

When you're done with that search, look up volcano explosions on land and under the sea, and compare them to the explosive power of a missle.

When you have a bleeding cow, you can solve the bleeding issue and keep the cow alive, while completely ignoring the mosquitoes "relentlessly draining" its blood.
Projects like this try to get around the fundamental flaw in GPTs - namely that they do not have goals, plans, thought processes etc - without actually solving it, e.g. by having the AI write out its "goals" before continuing.

But this is a hacky fix, and will never be reliable enough for consistent use. For that, more actual research is necessary, on how to simulate and model goals and trains of thought and have them interface with the world model provided by an LLM.
TOTP 2FA is fine if you either:

a) are the only person who needs to use that login
b) you can associate multiple logins with a single account.

As far as I can see (b) is not true which means yet another case where a colleague has to phone me every time they need to login.
Reminds me that I played around a tiny bit with Fril back in the day. Prolog with probabilities/uncertainties

https://en.wikipedia.org/wiki/Fril
Isn't the main difference due to the component of the sound that is travelling through the material?

Just my hypothesis. I have compared flutes for the same key but with different woods (and steel).
Yet. If OpenAI quits the EU, the EU market would be for Google and others to take.
You can implement TOTP in a few lines of code; it's pretty straightforward and there's many CLI and desktop apps, plugins for (desktop) password managers, etc.

For some reason many sites seem to pretend it's a phone- or special device only thing. In principle it's more secure, but if you also have a password manager on your phone – as many people do – then it's not really.
It's a fair argument, an active war is more intensive on emissions (tanks, trucks, planes, trains if not electrified need fuel, and especially older Soviet-era models aren't known for the fuel or emission efficiency).
For now, yes.
On the other hand, Apple became a multi-billion dollar global business because it had style and taste other companies didn't.
1. Why aren’t they saying this in their <noscript>
2. There’s a lot of content on the page that should be purely static like the FAQs. We can see using a non-Google search like https://search.brave.com/search?q=kzg+ethereum+ceremony and see the SEO for all that data is missing because it requires JS without a good reason.
I've always done business, where competition exists, with the company with the best CS. I rarely ever use it, but phone trees and offshored support are two things that will get my blood pressure sky high. It's why I use Discover and not Wells Fargo anymore, for one example.

I just hope a company can differentiate on that, and have enough people like me to give them their business.
> For example, in Bayesian logic: x AND y is xy, x OR y is x + y - xy

No it isn't. P(x AND y) = P(x)P(y) only in the special case where x and y are independent. Unlike fuzzy logic, probabilistic logic is not truth functional.
There are a lot of politicians who will benefit this. /s
Don't they use special paper? And fade after a few years?
Short version seems to be "it's not the worst case any more, but it's still fairly bad" in that we need to reduce emissions, not just have them plateau otherwise we will still have a fairly bad outcome.

I'm also a little wary that the apparent plateau in the data might not pan out in the longer term. Particularly because of carbon cycle feedback loops that we may not be seeing the worst of yet.
But it does that by including a bunch of JavaScript and obscuring it. So not exactly including as little JS as possible.
Shared 1pw account with the totp from 1pw. Do it all the tine at work.

edit: not shared account but a shared vault.
“Danksharding” is named for a person, “Dankrad”, who has been their expert and champion of elliptic pairing-based cryptographic mechanisms.
You aren't wrong, but this is mainly due to OS vendors (specially microsoft) dropping the ball. Mobile apps, even when they have highly customized looks, use native controls.
It's not just the looks but also the behavior that native controls provide.
And you can display ads on them.
TLDR it is Chinese because their numbers such as 0-9 has only one syllable.
Because I will have already read it and we don't want to have the same discussions in every thread. To quote dang, it makes comments uninteresting and raises the signal to noise ratio.
It's not counting, it's just outputting something that is likely to sound right. The reason it can't count is that it doesn't know that it should run a counting algorithm when you ask it to count, or what a counting algorithm is. There is no reason why an AI should not be able to run an algorithm. Coming up with appropriate algorithms and running them is one definition of AIs. This is not an AI. It is an algorithm itself but it cannot create or run algorithms, though it can output things that look like them. The "algorithms" it outputs are not even wrong, correctness and truth is orthogonal to it's output and without that you don't have real intelligence.
Reduce the problem to a simpler one you know how to solve.
Very possibly, but I don't have a phone or a hardware key, and I'm certainly not going out and getting one for the benefit of PyPI, so my choices are?

Having an outdated version of my packages on a locked-out account on PyPI (with the up-to-date sdists that I distribute on my website) sounds like a nightmare.
> With that title and reception I can imagine people bookmarking this for „later“ and feeling good about it.

I'm in this comment and I don't like it.

> If you can open a math book anywhere in the last 20% of pages and just start reading, you are looking at pop science and not lecture notes.

What do you mean?
> Kevin Hall, a senior investigator at the National Institutes of Health, where he studies obesity and diabetes

( ... )

> Both groups were served twice as many calories as they would need to maintain their body weight, and they were told to eat as much or as little as they wanted. Both diets were nutritionally matched, so each meal contained essentially the same total amount of fat, sugar, salt, fiber, carbohydrates and protein.

> The results took Hall by surprise.

> "I had sort of expected that ... there wouldn't be any difference," says Hall.

Is Hall a bit incompetent? If you serve twice as many calories as necessary of unprocessed food vs food that has been engineered to be yummy, everything else being equal, OF COURSE that people who aren't paying attention are more likely to overeat the yummy food. It's embarassing that this person is a senior investigator in obesity. He doesn't understand the most basic fact about food which is that most people most of the time eat for pleasure, and therefore everything else being equal, people will eat more of the food that is more pleasurable.
It may sound profound, but "Just do it!" Don't look too far ahead and take the first step.
Both AI and humans can be wrong, but in different ways. Humans often mess up due to bias or memory slips, while AI usually stumbles due to data gaps or misunderstood context. AI misinformation isn't 'worse,' it's just different. Understanding this helps us use AI more effectively.
Truth functionality always struck me as a bodge in fuzzy logic, because you get to choose the implementation of (A and B) fairly arbitrarily. You're getting to choose some mix that lets you pretend the degree of dependence between the variables doesn't matter. It's a useful engineering hack, but a hack nonetheless.