skysight-inc/HackerNews huggingface dataset:
Part of affirmative action (AA) involves addressing some of the issues specific to american society, I have no clue how diversity is handled outside the US but would love to hear someone else's experience

To a certain degree prejudice is ingrained in the US. Not officially in laws, but in attitudes that some (not all) people hold. Not any one specific group of people either, but prejudice across different ethnic groups. AA isn't independent of this prejudice, just a more recent and politicized form of it

I think the way that it has been discussed in recent years isn't going to sustain itself long term. The way that higher education discriminates against Asians is especially egregious

(source: "The reason that it is harder for Asian Americans to get into Harvard is that their “personal ratings” (a subjective evaluation of personal qualities) are, on average, significantly lower than for white applicants." (https://www.forbes.com/sites/evangerstmann/2019/10/01/why-th...))

The same "personal rating" bs was historically used to limit the number of Jewish applicants. At the end of the day, the Asian applicants would likely benefit from just not providing race or selecting the "other" category.

The only way that the current system can sustain itself is by having people honestly self identify, yet there's no legal ramifications for not doing this. If people genuinely want to end this system, all they have to do is stop giving it real data to work with
Tanforan failed so hard it’s getting torn down to become office space. Not exactly a great example.
Skin color and gender are terrible measures of "opportunities you have". Money is much more indicative
They look too simple to be useful for learning the basics. This is common with rust libs. An example of a simple, practical project demonstrating structure would be more valuable than all of them.
Return to Monkey Island Countdown
That is part of it, but it's not the full story. In earlier multi-core CPUs each core was basically its own chip with its own resources that could operate nearly fully independently from the other cores (although not completely independently as you still need some cache coherency mechanism and usually there would be at least a shared last-level cache). In the chiplet model the chiplets are less independent and use more shared resources, e.g. the chiplets might be designed so the memory controllers are separate from the chiplets themselves and shared between multiple chiplets.

There's obviously kind of a gray area and what makes something a chip or a chiplet isn't necessarily precisely defined, but the name "chiplet" implies a model with smaller cores that use more shared resources.
> Do we want to live in a world where you have less opportunity because of characteristics you were born with

Yes. I do not want to live in a world where genetic editing is used to give everyone equal opportunity. I am ok with not having the genetics to play in the NBA while others do.

Diversity should not be the end goal. A healthy society that provides basic needs for all should be. If that means we have mostly people that share X characteristics in Y field that’s fine as long as they’re the best people for the job.
https://web.archive.org/web/20220912181008/https://www.newsn...

https://archive.ph/vq67E
There's a text-based representation called twee. You can use tweego (https://github.com/tmedwards/tweego) to convert between twee and html/twine.
Fiber optics are also about 2/3rds the speed of light. One of the interesting things about Starlink is that when they have laser links between satellites they should be able to beat terrestrial latencies over very long distances like California to London.
We (https://illumidesk.com) support Julia notebooks (leveraging Jupyter Server Kernels using a variety of frontends, such as JupyterLab, VS Code, etc). The Robotics department (taught by Professor Jessy Grizzle at the University of Michigan) uses Julia extensively. Over the course of the last three years we have learned a few things about Julia when compared to Python and friends:

- Julia is faster at reading CSV's compared to using something like Pandas (presumably because it's multi-threaded and Python is single threaded)
- Julia does seem faster with read operations, but it's important to write code that declares types (myIntArray = Int[] vs myIntArray = []), this way Julia would read from a contiguous block of memory instead of reading an array of pointers in memory
- Julia's packages are limited to Python's equivalents

Our take is that Julia is amazing for ML/DL but Python is better for entry level data scientists. Once the data scientist gets up to speed with Python then Julia is a nice feather in the cap for more specialized use cases.
When folks wonder why Julia hasn't displaced Python or R, despite being better on a number of fronts, I'm always reminded of this quote (courtesy of wikipedia) by Eric Raymond around why plan9 never went on to displace Unix:

> [I]t looks like Plan 9 failed simply because it fell short of being a compelling enough improvement on Unix to displace its ancestor. Compared to Plan 9, Unix creaks and clanks and has obvious rust spots, but it gets the job done well enough to hold its position. There is a lesson here for ambitious system architects: the most dangerous enemy of a better solution is an existing codebase that is just good enough.

Python is good enough, and Julia isn't "Better enough".
≤2020 most of the top ten was constitutional monarchy, with most republics in the #11-20 range. 2021 seems to have been a bit of a shuffle (e.g., CA not being in the top ten for the first time in a ~decade).
Amen - Who else but a self-taught programmer (like me!) is going to feel compelled to defend his ego by devaluing CS degrees. ;-)
To add to the list of challenges, not only are there places which get very hot, but there are also many places that get very cold or which have lots of precipitation. Obviously we can still increase bike adoption in these places during better weather, or in places that are just more moderate overall.

Other challenges include transporting infants, pets, or just larger commodities, so it seems more likely that most people will need to own a car and a bike. Again, not all trips require transporting one or more of these things, so we can still increase bike adoption.

However, these factors mean that the overwhelming majority would need a bike in addition to a car, and arguments about how much cheaper cars are than bikes only apply to people who satisfy the following:

* Healthy
* Live in an urban environment
* Work/shop/etc within a ~3 mile radius
* Live in a hospitable climate
* Don't have kids
* Don't have pets (at least not that need regular transport)
* Don't travel outside of their ~3 mile radius frequently

There are probably criteria that I'm missing, and yes, I'm sure some of those criteria are optional in theory (I'm sure someone knows some dutch guy who cycles his kids everywhere), but in practice these are deal breakers for mere mortals.
/s?

If you want a society worth paying taxes in, you’ll probably want to offer your future contributors calculus, programming, and history.
Plain text is preferred always; no pixel tracking
Show HN: AI Dreamer – Picture Everything
Those 2 reactors have had the costs to build them paid a long time ago with the money they generated. So that is truly all the costs left to operate then and thus what TVO bills the share holders or that reactor to buy the electricity from them.

So in this case the nuclear fairy is the market buying the electricity just like for all forms of electricity it should be.
Can I get a job with Rust?
If battery life is what you're after, looking at a 1.5 generation (soon to be 2.5) old 35W Ryzen that gets 11 hours of battery life should give you clues. Ryzen 7000 mobile should be announced in January, and those will utilize TSMC 5nm.

https://www.laptopmag.com/features/how-amd-ryzen-whooped-int...

https://www.tomshardware.com/news/amd-ryzen-4900hs-battery-l...

Or 0.5 generation ago 15W Ryzen getting 17-20 hours...

https://youtu.be/An3OpQ7v0rs?t=546
A lot of the links look reasonable.

The substring section[1] looks a bit weird though. If you're learning Rust, diving right into how to work with char indices instead of byte offsets does not feel like the right thing to cover right away. You might really need that, but chances are you don't and would be much better served by a section that talks about how you probably don't want char offsets at all. But even that doesn't seem like you should whack a beginner with right away unless they have a specific hang-up on it.

Beginner string stuff should be talking about string representation and going over the &str and String APIs. And depending on how early you get to it in the overall tutorial, probably using it as a springboard to talk about lifetimes.

But writing code so you can go out of your way to do something that is probably wrong in the first place? Noooooo.

Anyway, sorry to pick at this specific point, but the Gell-Mann amnesia effect comes to mind.[2]

[1]: https://github.com/joaocarvalhoopen/How_to_learn_modern_Rust...

[2]: https://en.wikipedia.org/wiki/Michael_Crichton#GellMannAmnes...
I personally think we'll have the opposite problem. I think making machines too much like humans will result in less ethical consideration of actual humans, not extra rights for machines.

Once a model becomes sufficiently like a human brain to perform many of the jobs we have in our society (driving vehicles, collecting trash, monitoring cameras and data streams, etc.) then those who have the ultimate power in our world will start to see humans as unimportant meat sacks that are inefficient compared to the machines. They'll stop pretending they care about the welfare of humanity even a little bit, and will start to push for policies that would reduce our numbers.

Eventually, I believe the end goal will be for a small number of humans to do those jobs that simply cannot be automated, and to serve an even smaller number of masters who control the machines, which will then be purposed as the police for the other humans.
I've asked this around a few times and I don't if it's completely dumb or somewhat viable.

Why can't we put rails on top of (some parts of) freeways and adapt our cars to work somewhat like railways? Call it "smart freeways" to sell it to general public.

When you merge on to the freeway, you "hook in", and the car starts to control itself. You tell it where to exit, and it takes care of merges, changes lanes, exiting, rerouting due to unforeseen obstacles, etc.

Seems like it could end up with the benefits of self driving cars but with training wheels and utilizing existing tech. Cars could easily signal lane changes, merges, and generally communicate with other cars to make things flow evenly and allow vehicles to move around. You would also avoid the "last mile" issue of getting you from the freeway to the destination-that would still be up to the driver
Someone could really just weld a steel bar onto a railroad track out in the wilderness and derail a train??
Is the Remote only for Canada?
>At what point do we cross a threshold here and encounter a non-trivial number of people who argue that a sufficiently large model actually is a brain, and therefore deserves rights?

There are two ways of resolving this conundrum. You either give rights to computer programs, or take away the rights of people. Which option sounds more likely to you?
Not really, especially as it’s not 8.33%, since it’s not a yearly cost, but a lifetime cost.
Do you have an explanation for why, since solar/wind seems to not only pay for itself, but earns enough to 4x it's initial investment in 17 years, that it's not being done?

It is being done. According to the International Energy Agency, $44 billion was invested globally in nuclear powered electricity production in 2021. $119 billion was invested in fossil powered electricity production. $367 billion was invested in renewables.

https://www.iea.org/data-and-statistics/charts/global-energy...
object variants are more flexible than enum types so what you see as a limitation others don't.
I'm a big fan of Croatia myself, but their program is one year, not renewable without a break (and starting next year, a full Schengen break), but it'll depend a lot on the lifestyle you want. I want cheap, beaches and quiet at least outside of the tourist season. I've heard good things about Portugals, but no direct experience. Montenegro has announced a two year one that's renewable once that I may give a trial when my current Croatia one runs out, but it's brand new and the government websites are currently under a bit of a DoS so getting details is harder. Germany could be good if you like it there, I think Italy just announced one, and if you're more into the Nordic scene, I think Norway has one.

But I'm primarily in the EU because my partner is here, you can find them in a number of other countries, depending on the lifestyle and culture you want to spend time in. Not all of them are tax free, but most of them are.

Do some googling, there's always an expat services organization that will offer overpriced consulting (but you may still want to use them, it can be frustrating if you don't speak the local languages).

Also ask yourself if you want to find a new home, some nomad years don't count towards permanent residency requirements, so you may be delaying things while you do it. For me that's fine, for you maybe not.

If you've got the liquidity it's usually worth going for a couple weeks before you make any final decisions to scope out the local territory and see if you can operate comfortably, but I'd encourage anyone thinking about it to look into it, you may find a lifestyle you really like better than home, wherever that is.
He argued that if universities cared about diversity their positions on affirmative action would be more dynamic than is commonly accepted. e.g.:

> Affirmative action would also apply more strongly to, say, immigrants from Iran, or Korea, or Israel, than to black people (or anyone else) from our own society.

The examples he uses demonstrate that, in his mind, caring about diversity requires measuring circumstance. You might argue that universities are not so shallow as he's claiming, but I don't believe the article is mere mudslinging.
Has nothing to do with that. It's two things. Artists are threatened, and also right now a lot that is being submitted is low quality.

So if you are an artist you don't like seeing a bunch of AI junk on your home page just because a lot is junk but also, because one can assume that it will continue to improve so that that most of it really is competing with artists.

So that could put a lot of people out of work since it would make art-related business models much more competitive.
Also, considering that the used power becomes heat, it is not such a waste if you already have inefficient electrical heating.
sort of? when i first learned it there was no async/await, no `?` operator for simplifying error handling, and lifetime elision was a whole other story, and you seemed to need lifetimes for any reference (can't remember but it's much better now). But is that really enough change for a new kind of rust (instead of just say, learning async rust vs normal rust?). not sure.
I'd argue it was actually demolished in 1980[1].

[1]: https://www.youtube.com/watch?v=IIdGxR-aU6o
I'm not knowledgable with JS at all, so you're probably right. I do wonder what the "Code Integrity Guard" is going to mean - who has to sign the JS? Does this mean tampermonkey/adblock scripts would stop working? Genuinely asking as like I said I don't really know too much about javascript
Despite the chipper commentary I see no indication stepping through the YouTube feed frame by frame that a retrothrust system engaged and softened impact.

If it did it was within 10s of ms it looks like...?
But given that space is cheap and transcoding means you're necessarily compromising image quality, why bother re-encoding?
Why can’t they teach me very specific forms that change every year, instead of the general ability to understand a set of instructions?
Fight the good fight! Other comments are validating you, so keep on wearing 'em down.
Transformer networks have deeper connections to dense associative memory. For example, the update rule to minimize the energy functional of these Hopfield networks converges in a single iteration and coincides with the attention mechanism [1].

[1] https://arxiv.org/abs/1702.01929
Yeah, but maybe Apple will take all of this private data, and then build their own GCM, and solve data assimilation for their new model … yeah right.

Let’s pretend that data from user portable devices isn’t garbage (it is): then what do you even do with it? In cities you’ll have thousands of readings per voxel none of which are more valuable. Then you have to clean your data, excluding data from inside or vehicles or hot pavement or heated patios and so on. Apple won’t go to the expense of running their own GCM, and I doubt even mesoscale models. All I could see is some sort of correlative AI, doing microscale adjustments to government sponsored models. So all of this work, and maybe you get one degree better at forecasts and a bit of nowcasting. And because it isn’t physics-based, you might occasionally get something very wrong happening.

The oceans are a data hole (technical term, really) as you mentioned, but the real missing data is above the surface. It’s too bad about Project Loon, because that would have been much more helpful to forecasting than a million monkeys wearing watches.
Sure, but chances are, it is already on the web.

And of course, it's also possible that the image I want can't be generated by SD/DALL-E/etc.
If you don't have self esteem issues you definitely will after a week of trying online dating.
Deeply freezing temperatures, ice, snow, all of those are completely ridable on bicycles, but you have to ride with very fat tires, often called "fatbikes"[0]. You can ride those bicycles in just about anything; I've ridden them across frozen lakes and up chunks of frozen glacier in the dead of the Alaskan winter, so cold roads don't sound particularly scary. If you want to have a single bike that you can ride in any weather very easily, an electric "fatbike"[1] makes for a super versatile single-person car replacement.

[0] - https://en.wikipedia.org/wiki/Fatbike

[1] - https://www.radpowerbikes.com/products/radrover-plus-electri...
Related:

Chafa 1.8: Terminal graphics with a side of everything - https://news.ycombinator.com/item?id=28548120 - Sept 2021 (23 comments)
But this just shifts the problem. Now it's not apparent looking at any snippet of Odin code which objects should have cleanup logic but don't, without looking up each type and reading its documentation.
To expand on this, the chilling effect here is that even if the code behind tornado cash isn't explicitly illegal, using it on a blockchain in practice is incredibly risky.

People who might otherwise want to use this for financial privacy would be wary, since if they deposit funds to the contract, they don't have any way to know if they'll be able to use the unlinked funds later if withdrawn.
An in depth analysis can still miss possible logical conclusions. I don't think the GP is saying they skipped possible analysis, just that they fail to consider alternatives.
Yes - that's also good advice (using Arc/RC to liberally avoid ownership issues). I've personally had good experiences with async, but I can also see how that could be challenging depending on the background you are coming from.
Bitcoin Fax – Send Faxes with Bitcoin/Lightning
They're out there! I found a gig at a startup not in the blockchain space working with Rust, but felt pretty lucky to find it. Most of the jobs are in crypto nonsense.
I thought entrust was modern, now there is a modern rust too!? :P
The opposition is coming from people past child rearing years. Other parents like me are one of the strongest contingencies for getting rid of car-dependency. Cars are one of the greatest threats to kids in terms of death, disability, and maiming. And building cities around cars makes having kids a huge huge hassle, you have to drive them everywhere and they have zero autonomy.

Cars and kids are an absolute terrible combo.

I'm not sure if you've seen the huge rise of cargo bikes that I have seen, but they are nearly all parents with kid seating on the back in my town. We are trying to make do with terrible infrastructure and city planning, but it wouldn't take much change to make it all very much better.
No, I want first class algebraic datatypes that don't make easy things hard i.e. https://forum.nim-lang.org/t/904 vs `#[derive(Eq)]`
I will rather use HTML email via standard federated email network and be able to put images inline with text captions describing these images, rather than being text only email purist and then having to bend over to send images with "inlined" text in silo apps like whatsapp, slack, signal or telegram.
How do you deal with the chatbot problem in visual media. It's still Eliza, but without the obviousness of text, how can you tell its just Eliza?

I wonder if their will be a similar evolution in art circles as in chat. What questions and answers about the composition will out the AI generated pieces as mechanical in nature, or if our ability to parse images is different enough from our ability to comprehend speech and text, that it will legitimately be impossible to suss out.

The big problem right now is just sheer volume. Just piles of auto-generated crap burying months of work. That definitely needs to stop, rate limiting or banning seems an appropriate way to deal with the misbehavior.
iDEAL? or something else?
This sounds wholy wrong to me. What do you mean there is nothing you can't learn? What about all of the states of a chessboard. Or even the best move of a given position. Humans will never compete with a computer in this capacity. We absolutely do not have an infinite space to store things in our brain
> Without state intervention, direction, and education, the public lacks the impetus to adopt a mode of transport that remains ignored by urban development projects

That's an accurate summary for most countries
I wasted the entire internship writing horrible perl code and not learning how to do anything that I would use later. This was early enough in my career that it had a lasting effect on my perception of software development and it took me 3+ years to get back "on track".
Agreed, where are all the MPVs going? We have a Cmax grande and it has more space than most SUVs. It even has better head and leg room.
> It’s easy to go over when you start factoring in other things like monitors etc

Why would monitors even be factored in? They shouldn't be on the same circuit anyway.