skysight-inc/HackerNews huggingface dataset:
> What is there to be afraid of?

All the other idiots on the road with minimal/no snow experience, refrozen sleety wet black ice that's far more treacherous than proper dry snow, hills, roads that are not merely not salted, but so snowed in that even emergency services become unable to move around due to unplowed roads and getting snowed in, ...

I'm arrogant enough to be willing to drive in Seattle snow with careful hill-avoiding route planning (and paranoid checking of hill-prone cross traffic.) Still managed to spend half an hour picking at the ice with a shovel the last time I did so when I didn't give it enough gas to get fully into a parking spot and became utterly immobile on the ice the last time I did so.

This is what we're afraid of: https://www.youtube.com/watch?v=rhZCyQ3emQg

Or just this last winter: https://www.youtube.com/watch?v=GButmfkNGmg

> Are these people driving with Summer tyres

Yes

> Perhaps the roads are not salted in the US?

Inadequately

> Are studded tyres allowed?

Depends on the locale - not all-year around around here (tears up the road?), and I don't believe studded tyres are sufficient to be legal to go through the passes.
This needs Python 3.7. Which systems have Python 3.7 by default, but don't include Perl?
Turkey is having today what is one of the most important elections of its history, and you cannot just say “duh fight the decision in courts” because by that time the damage would already been done. It is important that today Turks have a medium where they can share information that is not blessed by the government. I think it is the right call. They can always change their mind in a few days
I got a Fire thinking it would be a good replacement but the display is so bad I don’t even want to look at it. The N7 had a beautiful screen. The Fire had pretty decent speakers though, I’ll give it that.
Wow, that is really amazing.
> Existing code exerts a powerful influence. Its very presence argues that it is both correct and necessary. We know that code represents effort expended, and we are very motivated to preserve the value of this effort. And, unfortunately, the sad truth is that the more complicated and incomprehensible the code, i.e. the deeper the investment in creating it, the more we feel pressure to retain it

In my experience, this is the failure point in thinking about incremental development. A portion of code's mere existence does not make it untouchable -- I constantly express this to my team. If we are presented with new information (such as a capability) that would function best with a refactor, so be it.

We have some team members who think the opposite -- that any existing implementation must be preserved (I call this the "incumbency fallacy".) It creates a weird motivation to implement quickly/early, as if getting your pull request in is the most important aspect of your work. And yet, what I find is that early implementations often inform how something should be improved after the fact.
What is your definition of rudeness then?
I'm not sure how consensus would get you significantly above human baseline. Doesn't that just get you some sort of average?

The basic problem with synthetic self-training is that we need some reward function which tells us whether a given synthetic example is good. In case of AlphaGo Zero, this was a synthetic strategy which won the game, or scored a lot. Which can be automatically detected. But how do we automatically recognize that synthetic text has "high quality"?

One case where it might work is proofs in a formal proof language which can be checked automatically via software. So if a language model is tasked to generate synthetic conjecture/proof pairs, it is possible to automatically recognize the correct ones, and use that for self-training data (unsupervised, supervised, reinforcement, I'm not sure), enabling it to recursively create more complex synthetic proofs.

A very similar approach (with some sort of unit tests instead of proofs) is described here in more detail:
https://arxiv.org/abs/2207.14502
It was a while that I read it, so my description above is kinda fuzzy. It might involve some adversarial step that I missed.

One problem is to get this process off the ground (bootstrapping), which is difficult, since we need some baseline capability first to create any successful synthetic examples, and there aren't a lot of human created formal proofs which can be used as bootstrapping training data.

Another problem is that, even if it worked, this system would just be good at generating proofs. Maybe there is some amount of transfer to natural language intelligence, but I'm not sure about that.

If you have a different idea for creating a reward signal, I would be interested how it could be done.
I once bought a hotdog from a street vendor in Copenhagen that was seriously high on some downers in 2:00 in the morning, so clearly hotdog vendors are more likely to do drugs.
Implementing and Designing Microservices
It's truly amazing that people can like different things, no?
A crisis is exactly when you need good executive management though isn't it?
I’ve lived in the northeastern US my whole life, and the number of people I know who don’t bother with snow tires and run “all-seasons” is shockingly high. The fact that a FWD or RWD car on winter tires is usually easier to drive in snow than an AWD with all-seasons is lost on them.
ChatPDF: Chat with Your PDF
“American Police Officers Alliance” calling.
And if I read your parent correctly he's mostly driving on said "mostly clear" roads as well, since he mentions salt.

If the road is salted and bare you're not driving in snow. You're driving on a regular road. That's not snow driving, period.

When we've had fresh snow and you have 2 or 3 inches of snow that moves around under your tires, driving is way different. That turn you're supposed to go 50 kph in but would love to take at 70 kph under normal conditions? You really want to slow down because you really don't want to drive on your lane, you want to kinda drive in the middle of the road because you aren't actually sure where the lane ends as it's all just white. The snow will make your car move where you didn't want it to go and while you of course can steer against that to correct if you go too fast and too close to the edge of the road on a left turn you're gonna end up in the ditch. And you don't want to go 70 or even 50 if you're essentially making the road one lane. Sudden braking and all ...

Of course a few days after the snow storm you have a hard packed snow surface that has had crushed stone (yes, no salt, the side streets here are not salted) spread on it. You can't drive exactly like it's summer but for the most part you can. You also now know where the ditch is (aka a wall of snow). Still, every year there's two places not 500m from my home where a snow plow regularly finds itself in the ditch while trying to clear snow and has to be pulled out. Even though they put down stakes in fall.
https://youtu.be/OVXTAKpmgww
That, but now much more
If anything, many of them are much worse in capabilities.

https://www.oreilly.com/library/view/filthy-rich-clients/978...
> our second intuition about proof of identity is better, but the minute you invent a foolproof identity system and it gets widly used (by fiat or even voluntarily), you give a tremendous amount of power to the issuer/manager of it, as they basically hold the power of also removing/altering your public identity at their whims.

A decentralized way to issue and authenticate private keys, so as to eliminate the trust requirement- not just transferring it to a certificate issuer- seems needful.

Not only could it help eliminate the manufacture of consensus in OP, such a technology would have broad implications for trust and might lend itself to anti-counterfeiting measures.

Although such a development would also amount to solving the problem of Byzantine consensus so I would feel most fortunate to see it happen in my lifetime.
> To this day I haven't seen a monospaced font superior to Courier New.

"To this day I haven't seen a monospaced font that I like more than Courier New", surely.

What is your quantitative measure for this, and what are the values of the other fonts you've tried?
> and to do that they need a UK banking license

Why does it specifically have to be an UK banking license?
A quick Google search implies that these haven’t been proper experiments. It seems as if the brain doesn’t necessarily learn to flip the image, but rather learns to somewhat process the stuff upside-down. A bit like learning to play video games with the controller after using only mouse and keyboard.

The real test as to whether the brain learns to flip the image would be if the goggle-user could read upside-down text after using the goggles for a few weeks, without having read text during that time.
Seems like a lot of effort went into typesetting this, wow!

I can recommend "Calculus: Basic Concepts for High Schools" by the same author (L.V. Tarasov) to anybody unfamiliar with calculus: https://archive.org/details/TarasovCalculus/page/n1/mode/2up. It's written as a dialogue between author and reader.
I use emojis on tmux. I don't think it conflicts with them. :o

You just have to have an emoji font installed (Twemoji, of course). And I use Alacritty, a Rust-based, GPU-accelerated terminal editor. How's that for "modern"? :sunglasses:
But majority of companies use deel, remote.com and so many mediators to hire remotely.

B2b in other eu countries has way less taxes than being employee.

Point is that there are many options and companies out there.
That’s not how cleaning fees work
Nope, someone has to manually type .clone() calls.
Nope, adblocker and noscript were disabled.

Update: turns out it's a known bug on their back end service (they're working on a fix). Everything now sorted out manually.
Even better, automate snapshot management (with optional off-node sync) with sanoid/syncoid [0] (Perl) or pyznap [1] (Python).

[0]: https://github.com/jimsalterjrs/sanoid

[1]: https://github.com/yboetz/pyznap
Little Bobby Drop Tables > Little Bobby Prompt Injections
Someone has to manually type .clone() calls.
https://en.wikipedia.org/wiki/Viterbi_algorithm
I've driven in northern Norway with snow tyres. You're correct in saying that it's relatively safe and easy to do.

In the UK no-one even switches to winter tyres when it's cold. With snow or ice people are running on 5-10 year old summer tyres with the minimum legal tread depth.

Plus we're basically always in the melt-refreeze zone around 5 to -5c vs. a proper Norwegian winter at -10 to -40 whereby your car can form ice that will just never melt unless it's an ICE. It's just not the same at all.

I miss proper winters!
Fall of the Berlin Wall on Usenet (1989)
more specifically, there were two kinds of centralized network engineers in those days: military trained, and those that named their servers after Tolkien characters.
The de-centralized BBS operators over common-carrier telephone lines were supposedly "hobbyists" but the patterns they established grew stronger over time. "hippie" is a slur btw, no one that was one would say that.. The word comes from a Look Magazine article on San Francisco IIR
AI and how it will affect actors
I started in 1999 and I co-sign this. Get a job where you have to shower when you come back from work, not a job you have to shower in the morning before you go to work
Get a dog and join a club
Mozilla's uniffi-rs is really good. You write a common IDL and the bindings are generated automatically. It supports Swift, Kotlin, Python, Ruby and JavaScript (not in the official repo).

https://github.com/mozilla/uniffi-rs
No need for complicated multi-step apps, GPT 4 can find the bug straight-up:

The code snippet you provided is syntactically correct TypeScript code. However, there might be a logical issue depending on the intended use case. The code is set up to iterate over the queuePositions array and slice it into pairs, but if the queuePositions array contains an odd number of elements, the final pair will contain only a single element.
I learned to drive in a snowy part of the US and spent my first several years as a driver in those kind of conditions. When I moved to a place that gets much less snow, but still some, I had the same sort of attitude...how are people here so freaked out and bad at this? But having lived in less snowy conditions for quite a while now, I've learned some pretty important things about the difference, a lot of which are pretty obvious is retrospect.

1) Places where it snows a lot have much more infrastructure in place to handle it. More road treatments, more frequent and better plowing, even roads are designed around snow. It's much easier to be a "good driver" in snow when you have well funded and practiced services backing you up. The reason places in, say, the American south melt down with an inch of snow or ice isn't because people are bad drivers so much as it doesn't take much snow to make roads dangerous as hell if you have no infrastructure to deal with it.

2) Similarly, in places where it snows a lot it makes sense to invest in things like snow tires because they're useful for a significant part of the year. Nobody where it snows a handful of times a year is going to buy snow tires not only because of the cost but because in addition to snowing less, many winter days can also be warm enough that snow tires are going to be a terrible driving experience and wear down much faster.

3) Perhaps most obviously, most things become easier when you do them a lot. "I come from a snowy region and driving in the snow is easy" really should be "I find driving in the snow is easy because I come from a snowy region". I used to be much better at driving in the snow when I did it all the time too, that's how practice works. But that's not really a lesson that does much good to anyone who lives somewhere with occasional snow. They probably are better off just staying home.

4) The thing I learned almost immediately is that regardless of how good you personally are, you're not alone on the road. When I first moved, I felt very comfortable in snowy conditions and regularly went out when it snowed. But it didn't take long to realize doing that meant sharing the road with people with way more confidence than skill (again because they didn't have much practice in the snow). And no amount of personal skill at snow driving is going to save you from someone else losing control and running into you.
Microsoft crunches some data: Finds out Teams is the biggest productivity killer
The article left out the single most important advice: wear a seatbelt.

I did my neurosurgery training at a fairly busy Level 1 Trauma Center (which treats the most severe trauma) and treated a lot of people involved in car crashes.

Seatbelt use made a huge difference. There could be two people in the same car, and the person wearing the seatbelt was evaluated and released and the person not wearing the seatbelt was taken to the operating room or intensive care unit.

Seatbelts keep you in position to allow the car to take the brunt of the forces instead of your body.

Please, always wear a seatbelt and make sure everyone riding with you wears a seatbelt.
> Those aren't models, they are applications built on top of models.

The point holds about the underlying models.

> Sure. But there are no open models that do that, and no indication of whether the various closed models do it either.

An indication that they don't do it would be if they could be easily tricked by the user into assuming they said something which they didn't say. I know no such examples.
You should tell ChatGPT to translate your question to client language. I tried in Vietnamese but then the next questions and answers is still in English.

Pretty awesome idea btw. I would like to highlight a branch for deeper questions. Just to speed things up.
I don't think you're a drone or that you're propagandized, I just that you have strong opinions. I'm admittedly flattered that you think my idle observations are part of some concentrated effort of 'controlling the narrative' though :)
> “Solved by market” is such a bullshit concept in this context

Do you have any point or just a opinion that you labelled as fact?

Secondly I am saying if older people have better ROI then there must be some success just by randomness in hiring that would be visible to everyone.
We're all soldiers in Nakatomi space.

Posting is warfare.
Had. Officially Lukashenko is in hospital since yesterday, but rumors say he is dead for couple of days now - drank too much putin's tea it seems.
> M looked at his wristwatch from any direction to check the time

In my understanding the meaning is « M can check the time from any direction ». As you and me of course, but usually our spacial memory retrieve the time from the needles orientation (no digit watch in WW2) so we use to always check the time in the same position (12 upward). As M can’t rely on the position of what he see, he probably just « read » the watch numbers all the times (no pun).
Protocols to the rescue, potentially.
Yeah, Xorg is better. It's faster, more stable, uses less power, and has more features, and more environments.

14 years later there's still no rational reason to run Wayland, and I doubt there ever will be.
I'm still not sure I follow what said hypocrisy is supposed to be. The article is about how they have the ability to hire anywhere, which is true regardless if they currently hire everywhere or not. Similarly the quotes about traveling for the summer are not invalidated, you don't change residency if you go to e.g. Alabama for 2 months so it's not a problem it's on the list.

While I agree places that allow anywhere without question are even better "pssh, this guy is saying they did something well and it's just good not even the best possible way!" is not really hypocrisy. Maybe there is more I missed in the article though
I'm from South India, and at some point, lived in the midwest for about 10 years. I used to snigger at the big pickups and cars. Until one day, I was driving through a snowstorm. (It was not my first, but this was a beast.) Unlike my usual Honda, I was driving a rented Dodge Charger. The snow was wet, and slippery, and I was driving along a state highway in Wisconsin. The car went into a skid, years of playing racing games triggered my instinct to go into the skid rather than out of it, and avoid braking. The car smoothly came back to the middle of the lane.

The highway was empty for miles around, and even state troopers were out for that storm.

I am pretty sure that if it had not been a heavy low car like the Charger, I'd have been stranded and lonely in a snowstorm for hours on a cold night.
i would not say moved, but rather expanded. the roots are still there in both.
Wonderful comment. We'd require a whole lot more information and processing power in order to be able to accurately predict the weather, and if we had that, we would be able to accurately model and predict a whole host of things.

Like with anything, there is the objective reality that none of us can see, and then there is the constructed reality placed on top of it.
> Money spent now is worth more than money spent later in more ways than one.

On the other hand, money saved & invested now will (quite literally) be worth more than money saved later.
You’re right, dogs can’t do that. That’s because intelligence is clearly a multi faceted and extremely complex concept to define. It’s so difficult to define, in fact, that it seems we’re only able to do so by pointing at things and going “that’s not it.”

That’s not moving the goalposts at all. If it were, we’d have stopped at search algorithms back in the 60s and declared AI to be “solved.”

You mention the physical world, so let’s talk about self driving cars, the last thing we thought would be “AI” just a decade ago. It’s 2023, and Tesla still can’t stop their cars driving into concrete barriers. Something that the system was built for and, again, pretty much every animal can do without thinking.

All of these systems and research definitely get us closer to understanding intelligence (and maybe creating AI one day) but to say they are intelligent is to ignore your own intelligence that knows they obviously are not.
Honestly, I don't know of a good solution to the coming LLM spam apocalypse other than something like this (paid verification of ID) or gov issued private keys.

Any ideas?
This is focused on organizations but I will emphasize how moving from blame to accountability (or ownership) is a transformative stance for ourselves as individuals (as described in Extreme Ownership by Jocko Willink). We often try to protect our egos by shifting blame, making excuses or just avoiding challenges altogether because blame and failure are such a negative experience. But instead of self-blame if you instead decide to take ownership, where you take responsibility for everything in your world, it becomes a kind of game of how you can level up to better master the world. You also focus on where you want to go and how to get there and stop beating yourself up for not being there already. Mistakes stop being so painful and instead become welcome gradient signals to level up. You start seeking out challenges to acquire more skills to get where you want to go.
And if possible wear seatbelts in busses as well.
Looks like the Go implementation has been pulled out to its own repo and has been recently maintained: https://github.com/network-quality/goserver

Also of note: looks like Apple has proposed a new IETF RFC for responsiveness and the "Round-trips Per Minute" (RPM) metric: https://github.com/network-quality/draft-ietf-ippm-responsiv...
Are you referring to Portmaster? https://github.com/safing/portmaster/

If so, it "is currently not available for macOS". https://docs.safing.io/portmaster/install/status/mac
Projects that have the currently fashionable dogma that every contribution counts and must be considered degrade and lose the best contributors.

Either they are directly run by corporations, in which case they are just designed to "grow the team", or they are taken over by politicians who work for corporations and want to establish themselves as ruthless managers.

CPython falls in the latter category, which is why useless things keep being added and bugs creep in.
It depends on the region of the US. There were times I've driven to the Minneapolis airport in 4"+ of snow falling down - flew to Washington DC, and found the world doing an emergency shutdown out there. In areas where you get snow, it is a very normal thing. In areas that don't get snow or ice, it is almost comical how many cars are in the ditches.

Some States salt, some don't. Some don't even have the equipment. Studded tires are not usually allowed. I've got winter tires for my 996, as summer tires are terrible up here in the winter. A good all season works well enough.
Indeed, I also like statically typed Lisp: https://quickref.common-lisp.net/defstar.html

EDIT: to be fair, Coalton seems even more interesting than defstar, but it has issues with mutation.
There is no visible "OK" button on a SmartScreen reputation warning.
Does screen offer vertical splitting now? That was the killer feature for me a decade ago. And the more Vimlike keybindings.
https://archive.ph/GSYnS
I agree. And in the US, a 12oz latte is considered the default/healthy option!

Many people order 16 or even 20oz lattes with added syrups/sugar. At Starbucks, a caramel macchiato is one of the most popular drinks. It has 250 calories and 33 grams of sugar.
Same. And I'd much sooner spend time with coworkers than family. ;p
Sorry man, but you're projecting. I'm not rich, but I have enough to survive, and some of the code I'm writing literally doesn't have any other public implementations, so to me it's important that I keep going.
Clone an example project -> npm start. I consider this point done then.

Don't know how beginners would feel about writing gradle tasks though. Don't know if they can cross-compile Java to the browser as well.