skysight-inc/HackerNews huggingface dataset:
I'm seeing a lotta condo dwellers who love cities in Toronto/Montreal/Calgary looking to move to dt vancouver since covid. Better walkability, climate & access to nature.

When nightclubs, irl events & meetups etc. reopen, I think there'll be a rush back to healthy cities, as opposed to looking at remote spots. Humans tend to love irl connection.
Wow, I didn’t realise it changed.

What a horrible situation where a whole year group are reliant on their teachers’ opinion of them and the success of other kids at the same school the previous year. Neither of which these children have any direct control over.
> The issue is that all teachers significantly
> over-predicted their students grades,
> but less so at high-performing schools.

"All teachers" is a sweeping statement.

There are teachers in comprehensive schools that are tough-markers, too. My wife, who is a teacher in a London school, was annoyed in both directions - there were teachers that she felt had given away high grades, but there was also a teacher that had given the kids in her class grades lower than she expected they'd get (as her identity is tied to being overly careful and she liked to grade kids harder in mocks, etc).

What she felt was bad was that cohorts of kids were often very different year upon year. Last year there were particularly bright kids doing Physics in her school, but this year there was only a few kids and they were much worse. But the algorithm awarded them grades above what she expected.

There were also kids that she expects would have worked hard before their exams and gotten results above what they were given. They didn't get given the chance to do this.
Should be "want" instead of "wants".
This seems to me like WebAssembly works basically like Java, but the bytecode can be compiled to from multiple languages.

Is this correct?
Ext2 was AFAIK a FFS-style design.
in Tech why would you think the minority doesn't value the social component of an office? I would expect the opposite to be true.
I'd drop the 's' in 'wants' and keep the rest. Or drop 'does' from the sentence and remove the question mark instead.
> I'm sure there's someone out there who knows a guy who knows a guy who can somehow ace Leetcode but can't write an efficient website backend

I don't see what makes you think a person who can ace Leetcode should be able to write an "efficient website backend". These are different sets of skills. You can ace Leetcode and not even know what a backend is.

> knowledge of CS fundamentals

Leetcode is not CS fundamentals. It's a small part of CS fundamentals. Besides, candidates aren't asked to show they know the CS fundamentals. They are asked to show that they spent more time practicing leetcode than the other guys.
I might add: 4. They're looking to make a profit. Either by selling ads, products, or by building an audience to exploit later.

Saying outrageous things you don't believe can unfortunately be quite lucrative.

Perhaps it falls under your second category, but I think the profit motive makes them even more motivated & nihilistic than a mere troll.
Yeah I'm not even sure how you would break up facebook, other than facebook/instagram . It would make you extremely unpopular if they forced FB to break up it's userbase into thirds or something as they'd all just flock to one third and it would just be the same thing again within a few months
Reversing Mental Age with Psychedelics
Err, but why do you have to prove it for every next job?...

In reality, it's a legal way for:

1. Ageism - not many seniors are desperate enough or have a free time for Competitive Programming preps.

2. Making switching jobs harder - for every next job one has to prepare again, because nobody is using Competitive Programming stuff during real work, so you forget.

Keep in mind that CP != CS.

And CP is not everyone's cup of tea. It is a separate discipline/subject with its own trivia knowledge & tricks. CP uses Computer Science the same way as e.g. Physics or Biology use Math.
Anti-monopoly legislation is important, but it is also important to create a mechanism for funding public goods. Browsers are necessary to keep the web open, and there should be a mechanism for society to fund that, even if it does cost $400 million a year. Current funding mechanisms for this sort of thing are focused on the creation of new scientific knowledge, but we also need funding focused on widely used open software.
>These HN comments don't seem to grasp that there are two distinct groups of people here, and these trends can/will counteract eachother: the ones that are in the city for work, and the ones that are in the city because they love cities. COVID creates an exodus of one, but people in the latter category are also moving into cities as well as prices drop and they are no longer priced out.

Exactly. And it seems well planned cities with outdoors/health/lifestyle perks are extremely attractive to these folks who love cities right now (as opposed to polluted concrete rat race).

Will be interesting when nightlife/irl events resume. FOMO to reconnect irl on the horizon?
The median number of lightning strikes per year is zero.
It's supposed to be "Why does Google want...". As a non-native English speaker myself, I cringed and am wondering if this article with a grammatical mistake in the 4th word of the title is worth reading...

I eat, you eat, he eats

I do eat -> Do I eat

You do eat -> Do you eat

He does eat -> Does he eat (and not "does he eats")
This is a really great point. People are now more able to exercise location preferences separately from work preferences. This will allow people to leave who didn’t have that choice before and to enter the city (or re-enter) who did not have that choice before.

What’s interesting to me is who must remain in the city. Obviously you have hands-on essential workers who tend to be poorly paid. But I think long term you will also have some of the best paid people in the city required to remain - managers and executives and anyone else for whom communication is a voluminous and essential part of their job. There really is no substitute for face to face when it comes to quality and once the pandemic is history these people will be back at the office.

Paul Krugman had an interesting video he made shortly after the pandemic pointing out that companies had already begun moving certain workers out of the expensive cities long before this. They figured out they could move, say, the HR department from Manhattan to New Jersey. IT services going to suburbs or even offshore (except for some people on site to be hands on). With tech companies you tended to see this with functions that for better or worse they valued less (for example content moderators). This will continue.

Now we see mainline engineers (who are definitely valued) allowed to leave, because communication is less important for their job than for a manager (even one at same salary level like a PM). But a lot of people will remain or come to cities. And I think it’s worth noting that those folks are probably less likely to make any moves right now than the people moving out. Moving out reduces economic risk in the short term. Moving somewhere more expensive is something people will put off until there is more certainty. But rents will spike up at some point as people who like or need cities make their move (I am not saying they will return to prior levels though).
Leetcode is not a good indicator of quality code by any means. It's basically a filter. If one can't solve these programming questions, there is a higher chance that they are not good at programming compared to one who can.
> I also don't have to walk over syringes or navigate homeless camps.

That stereotyping goes both ways, as this is nothing like my walk to my gym.

> My gym is 2 blocks away. Within 2 blocks I have about 10 restaurants.

Does that density hold for the 30 minute walk radius from your dwelling in all directions? There's a big difference between living in the "main street" area of a suburban area and that type of environment.
Absence of evidence is not the evidence for absence.

If the backdoor exists you will need to know a secret to open it. Currently, the public obviously doesn't know this secret or the doors would be wide open for virtually anybody. Because we don't know the secret key, we cannot open them to prove that they exist. So we don't know for sure if the backdoors exist. But the way the IME is designed and handled makes it possible and plausible that backdoors could exist. It's up to Intel to prove that they don't exist.
Ask every enterprise that existed prior to 2018? Even for small and mid-size enterprises, manual deploys aren't that huge of a deal. Automation with some bash scripts can get you pretty far. Especially if you're only managing a monolith or two. I've worked in some platforms that absolutely defied automation due to their proprietary nature. It just meant that we'd need a few people to spend 1-2 hours every two weeks to run a deployment. That cost added up over even a year or two is probably less than paying for a redesign and replatform.

I've also done deploys just using managed services like ECS/Fargate or Heroku where we just build an artifact and push it to the host with a script. A stack that's a load balancer, stateless app server then a DB and/or file store can be provisioned manually once then not really worried about for a long time.
In my case, I live well outside of Boston with quite a bit of land and only a few houses around me. No, it's not a mountain town in the Rockies or Sierras but it means I can go into the city for an evening if I want to, have lots of potential employers within (somewhat) reasonable driving distance, and could even commute into Boston by train if I wanted to--though it wouldn't really be sustainable long-term on a daily basis.
Maybe a neurotypical boy who is born with predominantly feminine traits gets them overridden by social learning, but without that mechanism they would persist.
makes sense :)

yea I like this example better, but thought of an actual overlay.
I am wary of Purism because of this:

https://www.phoronix.com/scan.php?page=news_item&px=Zlatan-T...
I believe I heard on NPR that due to the grounding of many planes from Covid, weather models have less data points for prediction.
$20k/year to live in Austin, I think my AC bill would eat all that up. But there are other places that don’t have state income tax, like Seattle.
Mortgage interest rates at all-all-all time lows. It's a little ridiculous to say that given that mortgages are, say, a 50 year old product. All time not very long.

But debt and interest have been with us for thousands of years and it is likely that there has never been such low cost liquidity for durable assets (houses) as there is now.

When you think about why THAT is, it should make you worried to buy that house.
Been a professional IT worker since 1999. Most of my sysadmin roles have always been on site with occasional remote work. Over the years, I've been able to swing working for a few weeks at a time while traveling abroad.

Currently based in Los Angeles and my organization is allowing us to work remote. Looking to just move abroad to Ukraine and lower my costs of living while immersing myself into a new culture and escaping the discord in my homeland. Might never come back if remote work is not longer taboo for DevOps and Infrastructure admins.

For those of you leaving the Metro areas, I encourage you to integrate in your new communities and be open minded. You will be welcomed if you leave your old ways behind and bring your talent and generosity to where you stay. Good luck!

(That WSJ Article comment section is hilarious btw, don't prove them right.)
Naval Ravikant's entire podcast with Joe Rogan broken into short clips
Decades ago, I remember figuring out quite a bit of that, and here are my original notes from that, including tables that show the pattern clearly:

MOV rA, rB:
B: AL AH BL BH CL CH DL DH
A: 1 1 0 0 1 1 0 0
AL 1 ** ** 8A 8A ** ** 8A 8A
AH 1 ** ** 8A 8A ** ** 8A 8A
BL 0 8A 8A ** ** 8A 8A ** **
BH 0 8A 8A ** ** 8A 8A ** **
CL 1 ** ** 8A 8A ** ** 8A 8A
CH 1 ** ** 8A 8A ** ** 8A 8A
DL 0 8A 8A ** ** 8A 8A ** **
DH 0 8A 8A ** ** 8A 8A ** **

* = "reversed" opcode (88)

MOV rA, rB ( word regs ):
B: AX BX CX DX SP BP SI DI
A: 1 0 1 0 1 1 0 0
AX 1 ** 8B ** 8B ** ** 8B 8B
BX 0 8B ** 8B ** 8B 8B ** **
CX 1 ** 8B ** 8B ** ** 8B 8B
DX 0 8B ** 8B ** 8B 8B ** **
SP 1 ** 8B ** 8B ** ** 8B 8B
BP 1 ** 8B ** 8B ** ** 8B 8B
SI 0 8B ** 8B ** 8B 8B ** **
DI 0 8B ** 8B ** 8B 8B ** **

* = "reversed" opcode (89)

The above tables apply for the following two-operand instructions:

ADD OR
ADC SBB
AND SUB
XOR CMP

For TEST and XCHG, which are commutative, A86 always puts the first
operand in the r/m field if possible, while MASM puts it in the reg
field if the first operand is a register.
For those who are curious about ECB: see the picture & encrypted picture of Tux on https://en.m.wikipedia.org/wiki/Block_cipher_mode_of_operati...
Teachers predict grades all the time. It's part of how student progress is tracked. We are constantly being told what level our kids are at and predicted level at exam time.

Part of the problem is that teachers often push the "prediction" slightly higher as a means of motivating the student. Now those predictions are being used as the real deal.

I am pretty convinced that most teachers with more than superficial experience will be able to predict grades reasonably accurately, after doing so for many tens of students 5-6 times a year .
I'm more familiar with CircuitPython because I've bought a few boards that could run it, though I've stuck with Arduino so far. It seems to be a fork started by AdaFruit, but it looks like there are other vendor boards it works on like SparkFun, Teensy, and Arduino.

What boards work with MicroPython? On their website, they only list their own?
Because there is no alternative; how would the state of Texas defend itself from an invasion from China? If we split up the USA into just the states they would all eventually be taken by a foreign power. There is big value in doing things at scale that can't be accomplished in little anarchy/federalist nodes
Really great article! I think that another element driving the push to brand oneself a category-creator is the ego factor. Everybody wants to consider themselves a category redefining innovation powerhouse.
Not to mention weather so hot it caused the first state-wide emergency rolling blackouts in 19 years.
Sevilla 2-1 Manchester United – UEFA Europa League – FootballGH
The thing that qualifies as "faffing" in my opinion isn't the statistical NLP programs, which "are what they are" but claims of progress based primarily on benchmarks, as YeGoblynQueene rightly states.

And "limited domain" is relative. A program that gets many aspects of language right talking about a small world might be said to have a larger domain than a program that outputs stream of semi-plausible, semi-gibberish involving the whole of English language. Which again isn't saying modern NLP is nothing but rather we should a somewhat better to talk of it (and machine learning generally) than "hitting benchmarks".
Tired lame criticisms.

For example, Bender's award-winning paper might impress you less if you knew that GPT-3 already solved their counterexamples which supposedly demonstrated what language models will never be able to do: https://www.gwern.net/GPT-3#bender-koller-2020

Van den Broeck is just wrong, there's a lot of incredible scientific value in the GPT-3 work. The meta-learning, which is the main result of the paper, is itself a landmark finding, plus all the bonus material about scaling curves. Dismissing that is a little like dismissing finding the Higgs because 'we all knew the Higgs existed, it just shows how much money the EU was willing to throw at the LHC'. Good grief.

And Kevin Lacker's post, which I am apparently doomed to see cited endlessly, is less than meets the eye; many of Lacker (and Shane's) failure cases can be solved with better prompts and sampling settings: https://www.gwern.net/GPT-3#common-sense-knowledge-animal-ey... and following sections. (I hadn't tested the prompts about 'what number comes before one thousand' etc, but testing the 10,000 one right now, better sampling fixes that one as well.)
Interesting. Could you elaborate more on what the typical distribution is, and possibly explain why such distributions are expected/reasonable (not just for Mozilla, but for tech companies in general)?
>> We knew hand-crafted program in limited domains can work for NLP, computer vision and voice recognition long time ago.

Yes, we did. So- where are the natural language interfaces by which we can communicate with artificial agents in such limited domains? Where are the applications, today, that exhibit behaviour as seemingly intelligent as SHRDLU in the '60s? I mean, have you personally seen and interacted with one? Can you show me an example of such a modern system? Edit: Note again that SHRDLU was created by a single PhD student with all the resources of ... a single PhD student. It's no stretch to imagine that an entity of the size of Google or Facebook could achieve something considerably more useful, still in a limited domain. But this has never even been attempted.

Yes, it is faffing about. Basically NLP gave up on figuring out how language works and switched to a massive attempt to model large datasets evaluated by contrived benchmarks that serve no other purpose than to show how well modern techniques can model large datasets.
I meant all teachers across school types, not all teachers individually.

In both state and private schools, teachers over-predicted. But higher-performing schools have higher and more uniform results, so there's less room to actually over predict -- so there's comparatively less reduction.

That's just an in-built concequence of what it means to be a high performing school
How much holocaust denial content should one expect to find? The internet has increasingly normalized nonsense. I'll bet plenty of people, post- the advent of social media, would think 25%, for example, would be perfectly reasonable.

How much would one find in the pages of a newspaper, transcripts of a public conference, or publications in a university library? Would it even be 1%?

If this new normal on social media is enlightening people and making the world a better place, one would expect to see it reflected in the world around us. I don't think the general consensus is that society has been making big strides in a good direction, over the past decade.
Yeah but none of what you said applies to Scheme.
Assuming that Paragon is willing to actually follow the process to get this included in the mainline kernel, it will likely be at least several months before this is fully available in the kernel (and a bit longer for it to become available in your distro).
It’s right there:

> “ Examples of RE-complete problems:
> Halting problem: Whether a program given a finite input finishes running or will run forever.”
This is why I have a set of functions like AsciiToLower(char* string, size_t size). They only touch characters in the ASCII space at <0x80. Even went and implemented them with SSE for x86.
It was impressive by Florida lightning-capital-of-the-world standards. I don't have any SF Bay Area standards for lightning storms. I think I heard more lightning last night than in the ten years before that.
the commonly accepted estimate for intersex conditions is 1.7% of lives births, via https://pubmed.ncbi.nlm.nih.gov/11534012/ from this basis it's not much of a stretch to imagine the reality is that there's a greater spectrum of sex difference that is illegible because it hasn't been medicalized. certainly seems like a more plausible explanation than "ok ok, so there's people who don't fit into our perfect platonic ideal categories, but other than the 1.7% of weirdos the categories are still perfect"

it's god of the gaps thinking, people are addicted to drawing clean lines around discrete categories as a vestige of modernism. taxonomy brain. we don't have good ways to say "there are two major clustering points, which most people are roughly close enough to one or the other to call them that, but there's enough overlap and so many dimensions that it makes drawing clean boundaries impossible"

I suspect as gene sequencing gets commoditized and personalized medicine actually becomes practical, we'll find a lot more cases where it makes sense to analyze people on the basis of their individual traits rather than what broad groups we can class them under
It's more nuanced than that. Not every meeting can be replaced by a Zoom call, but many can. And each time that decision is made, it's less flights, hotels, dining etc being spent in NYC.
I stand corrected. I did not know numba and assumed it was similar to numpy and others, which do wrap C.

I still stand by my comment, though. We need to discuss technology by its own merits. Of course I'd also choose Python for an ML project any time of the day! But that's because Python won the popularity contest a long time ago. When discussing technology I think it's worth trying to see past that.

Exposing a C FFI may be flexible in the ways you mention (i.e. You can call the function from many languages). But I think we miss a lot on explorability. Let me elaborate a bit more with an example: Most people is not reallistically able to drill down on some implementation details when using neural network libraries like TensorFlow (which is not the whole field of AI, just an example!). At some point, if a feature is missing, you have to leave Python, learn a new language, and get a whole dev environment setup started. At that point, you're not using Python anymore, so I don't think it should count as a Python merit that you can do it.

That being said, I don't know Nim enough to validate whether using it for this would be a good idea.
I read grandparent's post as saying that despite all the research and untold amounts of compute power poured into NLP over the decades, its practitioners have yet to address the original real-world goals that led us to study it in the first place. Missing the forest for the trees, if you will.

(I don't assert that it has hasn't. I know just enough about the topic to see how little I know. But it seems, from the outside, a valid criticism, and not one unique to the field.)
where "some" means pretty much all consumer CPUs.
that's like saying having a flimsy house door lock lying in your kitchen drawer is a security problem.

you have hardware on the cpu no longer accessible by software. you have a mellanox network card the me can't talk to. it's there, in the kitchen drawer. it's no longer in the door -so not a security problem.

the 'issue' requires physical access to the machine, and for you to be logged in with an admin account. if someone is physically sitting next to your server and logged in as root, you have no security anymore. they don't need to break into anything, the can just run what they want already.

someone is in your car with keys in the ignition. you're saying they can steal your car by hacking the entertainment system because it's insecure.
Alternate experience: I just moved into SF a week ago from elsewhere in the Bay.

I was able to get a large, modern, luxury 1BR in a decent location for under $3K + almost a 1 month concession and no deposit.

Being a single, young(ish) guy, it still makes sense to be in a city. I have more space than I need now, and I can afford the rent. Maybe things aren’t that nice right now, but I’m hoping they’ll get back to semi-normality in a few months. Plus, I’m still banking on there being more opportunity to level up in my career much more here.
It’s like Java bytecode in the sense that it’s a bytecode spec for a virtual machine, but otherwise quite different. Wasm doesn’t include a GC or support for OO out of the box. It doesn’t even have strings.

That’s great for compiling languages like C++ or Rust though, but makes compiling higher order langues like python or java to it.
Purism just needs TrackPoint and thicker keyboards, and I can upgrade my stockpile of ThinkPads. :) https://www.neilvandyke.org/coreboot/