skysight-inc/HackerNews huggingface dataset:
I’m sorry but this tread is full of old preconceived idea about early human history.

Can you source your claims?

That’s as polite as I can be at this point :)
Reasons include automation cycle time and base process parallelism, warehousing cost, shipping cost, distribution cost, manner of use.

Basically a LEGO brick is expensive because when being fabbed it is part of a relatively small volume (single color) injection run with limited parallelism, has to be 'manually' handled to be retrieved and packed, and then is effectively a large block of air requiring inefficient shipping, storage and retail presentation around the world. Changing the injection machine out to a new material means down time. Changing the mould takes even more time. Every SKU needs new retail packaging design, documentation and assets. Direct to consumer retail leaves scope for fat margins. Primary USP is "unique IP".

Whereas an MCU is tiny, can be fabbed in hugely parallel process, is designed to be packaged and distributed in a space efficient tape which remains trivial to consume en-masse owing to its automation-friendliness. Industrial sales leave little scope for fat margins. Primary USP is "functionality and reliability as supply chain component at competitive price point".
True, but it’s sometimes useful for experimenting, REPL style.
> I find it SUPER SAD that... in developed countries people are living less comfortably

In my country, we say that the bedroom should not be warmer than 19, because that's bad for sleeping :-). So it's really a choice. If I go to bed and the temperature is 24.5, I open the window.

Also I don't find it less comfortable to wear more clothes in the winter than in the summer. Ok, working from home on a computer at 19 degrees is a little bit cold, so I tend to use a warm water bottle. But honestly that's really fine.
> whose operating life has been extended a bit too far.

That's pretty much Fukushima. It was an old plant, older than Chernobyl by 6 years by date of commissioning. It was supposed to shut down in early 2011, but was granted an eleventh-hour 10-year extension in February that year. The earthquake and tsunami happened a month later, in March.

Granted, it probably wouldn't actually have made any difference as it would have been operating that specific month, but it was still a bit of a "he was only 2 weeks from retirement" moment. Unless actions like moving the backup generators uphill would have been done beforehand if it was known the plant was going to keep going until 2021.
I suspect that a scrappy organization wouldn't have a wall to toss anything over.

If a wall did accidentally appear in a scrappy org, maybe the wall gets knocked over, and the trash collegially tossed back, with an offer to work together on something that will work?

Stereotypical lumbering bureaucracies can appropriate terms all day, and people mimicking them can also mimic their appropriations, and management books can be marketed, all while ignoring the actual useful meaning of the terms.
You're right. I thought tove was a man's name for some reason.
Western Europe has the same educational advantages.i'm not sure are energy costs.
Agreed. I would guess some desert areas might not be habitable but that's only a portion of a couple states. You can definitely live in places like Florida without AC.
> DB performance, comes from indexes , table partitioning and in-memory tables and to compile query execution plans, so you save some time the very first you run a procedure

The network round trip to the database can also be a pretty significant performant penalty, especially when iterating over large sets.
In our country, the government helps people who are sick or injured, financially and materially. I hope it is the case in your country as well.
I realize you mentioned hooks not react in general, that code is here:
https://github.com/facebook/react/blob/657698e48d5b093b4ea5a...

You can see the linked list insertion right below that too.
Now do the math for now expensive the gas is for that in LA going out to the next ten years assuming ten miles a day commute during the week and 30 miles on weekends.
Is this... safe? For the crew?

I was under the impression that vessels of that relatively small size can get lost at sea in storms with huge waves when traveling between continents.
Motion sickness is not as much a problem today as it was years ago.
It is funded by taxes, so the label is not misleading:

'Britain’s national broadcaster is predominantly funded by UK households via a license fee, which is also required to watch non-BBC channels or live services. This is supplemented by income from commercial operations.

The @BBC account – which has 2.2 million followers – is currently branded as government funded. The label has not been given to the BBC’s other accounts, including BBC News (World) and BBC Breaking News.

Twitter has not given a definition for what it considers “government funded media” to constitute.

In a statement provided to CNN, the BBC said: “We are speaking to Twitter to resolve this issue as soon as possible.

“The BBC is, and always has been, independent. We are funded by the British public through the licence fee.”'
The intent of the GDPR is to prevent the act of non-consensual tracking and not some specific technical method of achieving that, so even a deterministic ID generation method that doesn't rely on any client-side storage would still be in scope, as would a hypothetical crystal ball if it worked better than random chance at reidentifying a unique user.
The thing about Godaddy is false so this is not unlikely to also be false.

I did just check it using multiple browsers and different IPs and the prices are the same. So they are probably not getting away with this...
IC3 Flexliner Demo in Oregon State (1997)
Nice to see a non-trivial package with 100% code coverage, can't remember the last time I saw that.
I don’t think it’s awful but it’s a bit verbose. But are there any other trusted languages that are as directly connected to SQL?
>I think that's just an accurate description of the position you're espousing; you might not like the tone, but you are encouraging us not to do anything about that natural state.

We've wasted enough time debating semantics.

>I disagree with this entirely. Most "down-to-earth" people I know are more engaged in fulfilling activities outside of work than academics are and have stronger connections to their communities in my experience.

This may be true; I have no horse in this particular race. The substantive issue isn't which class is more represented among the non-self-actualizers, but what proportion of people fall into this category and what a post-work society looks like for them. I don't know how we ended up spending so much time on the tangential point of who are the non-self-actualizers.

>This is particularly weird to hear, because trends against community participation have a great deal to do with the fact that our society increasingly pressures people to replace those institutions with jobs. There is a strong push to have your friends be your work friends, to have your meaning be what you do in your job.

I'm not sure I understand what this means, but this doesn't sound right. The secularization of society isn't due to work pressure, nor is the disconnection from your local community. The latter is due to the pressures and competition of the modern world, the fact that people move frequently and so do not have "roots" in their local community, multiculturalism that creates barriers between people geographically close people, and so on.

>And the increased drive towards validating ones identity through one's job inherently encourages people to disregard other social institutions or non-economic relationships that don't fit into that framework.

Similarly, I'm not sure this gets the cause and effect correct. We increasingly validate ourselves through our jobs because of the loss of other means of validation.

>This is some revisionism.

Perhaps if you were more interested in understanding my points than finding things to nitpick, you would recognize that my point about being non-judgmental was towards my characterization of the self-actualizers and non-self-actualizers, and how the working class fits in. You gave my claims a moral prognosis, not me. I only defended against unproductive valence claims.
No, they will likely honor original pricing for people who made a reservation but they closed reservations and haven’t posted updated pricing yet.
I think we are way off having ai that's able to replicate itself anywhere, and currently all sensible agents are based on OpenAI API, so you can just kill internet/account/etc and agent is dead
therefore I would worry much about any skynet like scenario
> So, the current version of the Wikipedia page on vector clocks is wrong, or at least misleading, about the origin of the idea, and it’s kind of my fault.

No. 0% fault of the author and 100% the fault of the Wikipedia editor. Generally speaking, people who are unwilling to ensure the accuracy of their work don't deserve the privilege to do that work.
UIUC - 58.6%

One thing that really annoys me as a grad student is the fact that the University charges tuition to my advisor even if I'm not taking any classes. Most PhD students finish their course work pretty quickly and don't take any classes after that and yet they get charged for tuition from the grant. The justification is that they're enrolled in thesis credits which is also a class but that's stupid imo, especially when the grad students don't get paid much. It's even more annoying when people say "oh your pay as grad student is low because technically you are getting free tuition.". Yeah no, I'm getting free tuition for like a year or two I take classes while I'm working there for 5 years.

I also wish the funding agencies allowed more flexibility is terms of spending excess money in different categories. I was surprised to know that left over money from a grant that's supposed to pay for an an undegrad cannot be used to buy a faster computer for research related to the same project or maybe even pay for data labeling services like scale.AI. They wanted us to hire a much more expensive undegrad instead of using external data labeling services at much cheaper prices.

Oh and also Fly America Act. Every federal grant requires you to use US airlines and I sometimes paid 2x what I would have paid otherwise (and only one of the author could do instead of 2 because of limited money).
Second hand tools + starting with wood is cheaper.
Long line of fuckups without correction/ownership by the currently seated
I need to know these people who buy a second dishwasher.
You seemed to be surprised because people reacted to your 24.5 degrees. I don't see how people could have guessed all that upfront.

> I'm not ready to do unreasonable (or idiotic) things. Why 24.5? Because I've figured out that it's the most optimal temperature for me.

Let's say that your case is extremely special and for you it does not make sense to not overheat, it does not make it unreasonable (or idiotic) to say that the vast majority of people should not overheat, does it?
massive YMMV moment for me. my particular usecase was "extract the following attributes from a load of unstructured text, format the results as JSON". ChatGPT was the best (but only on 4 and Davinci), Vicuna just didn't perform at all (nor other variants of llama 7/13/33). Bard smashed it, relatively speaking, in terms of speed. I gave up pretty quickly though because of no information on pricing and/or API. It's funny how all-or-nothing these things seem to be
Ehh the F91W is not very accurate at all as the article claims.

It's not temperature compensated. If you leave it lying on a desk at room temperature yes. Wear it outside in all weather it'll be pretty inaccurate.

I prefer the F-105W myself. It's basically the same watch but with a great blue EL backlight.
You can normally add images to PRs though?
The difference between 3.5 and 4 is gigantic even in my fairly limited experience.

I gave them both some common sense tests and this one stuck out to me.

Q: A glass door has ‘push’ written on it in mirror writing. Should you push or pull it

GPT-3.5:

If the word "push" is written in mirror writing on a glass door, you should push the door to open it

GPT-4:

Since the word "push" is written in mirror writing, it suggests that the instruction is intended for people on the other side of the door. Therefore, you should pull the door to open it.
> In the US, the South is more explicit I guess?

No, the south is more indirect and north is more direct. This is often seen in popular culture, with northerners depicted as rude and inhospitable, while southern hospitality and friendliness is famous, while also being contrasted as duplicitous to the "honest" northerners (smile in your face and stab your back kind of stuff, vs gruff and offensively blunt).
LLaMa is good enough now to self-host a swarm. The real question is whether it can pay for autonomous compute somewhere to keep replicating.

What is stopping a LLaMa swarm from overrunning HN? Basically karma points and account ages, that’s about it.

But given a year of sleeper swarm members amassing karma in a distributed manner, they can definitely make HN ban all accounts registered after X time similarly to how that sci fi publisher banned independent submissions!
I live in Victoria.

Fed my usage data to the Victorian government’s comparison site. [1]

Switched to the cheapest offer, which was GloBird Energy. Went to their website, discovered a small further discount on my gas was available so switched that over as well. Took maybe 5 minutes, total.

Took my free $250 from the VIC Government for using their site (yes this is a stupid election bribe but you’d have to be crazy not to take it - you don’t have to switch suppliers if you don’t want to, just run the comparison).

[1] https://compare.energy.vic.gov.au/
This a decent write up. The SBIR budgets wind up looking similar.

I can see how the indirect costs ("overhead") seem like ripoff to a professor, but even if you are running a private business having an indirect cost rate of 50% is considered low-to-normal. At least where I am: rent, utilities, cleaning, bathrooms, etc... are just expensive.
The size of the market doesn't really matter when your product is not competitive.

As a back-of-the-envelope calculation, shipping a 20ft container from Shenzhen to Los Angeles is about $1200 and takes about 14 days. Assuming you can sail at the same speed, and considering this sail ship has a capacity of about 10 containers, that is a revenue of $24000 / month. In reality you'll only be able to sail 100 to 150 miles a day, so crossing those 6500 miles will take you to 43 to 65 days - or a revenue of $5100-$7800 / month.

How are you going to run your ship for that little, considering you need 12 crew (and 12 additional "guest crew")?
what i would like is a fitness/health-tracking wearable that does not have a screen.

i want a faceless waves hands bracelet something on my wrist that will track all of my health & bio stats and sends it to/syncs it with my phone.
It's astounding to me how much less appealing Tesla has become as a brand since Musk decide to YOLO his way into Twitter. SpaceX is still so far ahead, no one questions it. But other auto manufacturers are already shipping alternatives to Tesla. Despite its early lead, when there are alternatives, goodwill and trust count for an awful lot, two qualities Musk is most assuredly not known for inspiring in the general public of late.

FAFO indeed.
The cost however remains remarkably high. A combination of renewables and giant piles of lithium is more expensive than nuclear, by quite a bit. [1]

Anyways, the future is a mix of all sorts of things and this is a strict improvement so it's hard to be anything other than supportive.

[1] https://spectrum.ieee.org/what-energy-storage-would-have-to-...
right, but was openai "first to market"? google and amazon have had AI offerings for a while now.
Bob Lee killing shows why perception of crime matters, often conflicts with data
The graph partway down is pretty interesting. In terms of grid battery capacity that's in the works, Australia is second only to China (albeit a fairly distant second). They're even beating the US in 3rd place, which also highlights how much we're slacking in this space.

If Australia is successful here, I wonder if it will spur more investment in places like the US. China is probably not a good bellwether since they invest in infrastructure projects like the money is burning a hole in their pocket and their unique political environment has certain advantages in terms of pushing through big projects. But if a country like Australia can leverage grid storage at scale, a lot of other countries probably can as well.
Except if you look at university budgets you’ll see that most of that overhead ends up paying for…that’s right. People.
Nissan Versa, $15,830

Mitsubishi Mirage, $16,245

Kia Rio, $16,750

Hyundai Venue, $19,650

Kia Forte, $19,690

Subaru Impreza, $19,795

Kia Soul, $19,890
Nobody wants to "level Taipei."

Stop attributing unsubstantiated, irrational desires to the people you consider your enemies.

The goal has always been reunification, and that's what it will remain even if the U.S. does something silly.
i've had the same experience tbh, 7/13/30 on ryzen (local) and intel (server) both on rhel/centos. It's a shame really
You’re assuming long duration lithium storage vs excess renewables with curtailment. Australia is going 100% renewables at a reasonable cost with solar, wind, hydro, transmission, and some batteries. No nuclear is required to decarbonize.

https://aemo.com.au/newsroom/media-release/engineering-frame...

https://aemo.com.au/initiatives/major-programs/engineering-f...
Spring engine games do tend to end up feeling like TA which is fine if that's your thing, but I think the mainstream RTS audience these days expects SCII.
The only definition of the trigonometric function required is that sin (x) = opp/adj. It's just a ratio, nothing else. The students could have called this ratio "snoo" and the proof would have still worked.

The proof is rigorous. The original article explains this, and why it's not circular.
No, not if you're doing it to save money. If you're doing it because someone else is better, then yes.

See: IBM's software engineering, vs Delta's offering of their maintenance ops to other airlines. One has really, really worked out, the other hasn't.
I'm not actually making that assumption, I linked an article with the numbers as [1] in an edit to my initial reply.

Nuclear is renewable :) [2]

But yes, adjusting demand is far more efficient than adjusting supply. However it seems there's limited appetite.

> No nuclear is required to decarbonize.

No but it's less expensive, and better from a space utilization and environmental impact perspective. It's the best energy source we have. Safest, cleanest and lowest carbon. And most reliable. [1] Not perfect, but better than anything else we've got.

[1] https://sustainablereview.com/nuclear-energy-is-better-than-...

[2] https://www.forbes.com/sites/jamesconca/2016/07/01/uranium-s...
Thanks for the reply, I will definitely follow up with this. Will prepare a subset of a table and play around with this tonight and if need be contact someone via the chat widget, if it can handle these and a couple more I use as a benchmark won't hesitate to jump on your highest tier.
Are these getting the 15% tax yet?
It's prior to the release of ChatGPT, so it's all the way back in the first age of mankind /s.
It is also important to remember that there are different inductive biases for different networks. Sutton's "Bitter Lesson"[0] argues for scale + more arbitrary complexity. ViTs scale really well because some of this arbitrary complexity. But I agree with your point that what to use is not obvious and this gets really complicated real quickly.

For example, Swin loses some of the properties of self-attention but Neighborhood Attention doesn't[1] (these are both considered reductive attention types). Does this have a large effect? Might depend on your task.

Looking at non-classification tasks is important. This is especially important since ImageNet has a lot of issues with redundancy (e.g. there's a label "sunglass" (836) and "sunglasses" (837)), images with multiple labels that are valid, and more. I'd argue that once ImageNet accuracy is over 80% then the accuracy no longer strongly correlates with downstream tasks[2] (segmentation, detection) or even other tasks like generation. This is why it is really important for researchers to pay closer attention now and we can't just look at benchmarks. Doing so will hinder research. We could previously get away with this because classification previously strongly correlated with downstream performance and that the error rate in ImageNet was much larger than the improvements on accuracy.

Worse than that, some of the main benchmarks we use are highly effected by these biases. For example, convolutions learn texture and so using something like FID[3,4] can have plenty of issues that might not give an actual depiction of how good a network actually is at its task. This is even true for non-deep model based metrics[5] and so you have to be REALLY careful about how you evaluate things.

TLDR: be careful with evaluating benchmarks and evaluate things holistically.

===== Minimal Bib =====

[0] http://www.incompleteideas.net/IncIdeas/BitterLesson.html

[1] https://arxiv.org/abs/2204.07143

[2] If you're wondering how this can happen, it is memorization. E.g. if the target image has both rabbits, cars, and other things (real example) in it but the label is "car wheel" (479) then the network has to learn to ignore "car mirror" (475) and rabbits (330,331,332). But downstream tasks like detection and segmentation perform multiple classifications on a single image and using a over-fit backbone can hinder performance.

[3] https://arxiv.org/abs/2203.06026

[4] It is worth noting that FID is calculated form InceptionV3 weights, which was only trained on ImageNet-1k (full dataset is 22k) and had an accuracy <80% (top-5 < 95%). It is a bit weird this is used for datasets like FFHQ because there is no person label. Or even most LSUN classes because ImageNet likely has a texture bias itself (with animals and plants composing the majority of the dataset and texture being an important feature there). Evaluating models is fucking hard and a lot of this isn't internalized my many, especially outside the field.

[5] https://arxiv.org/abs/1511.01844
I saw this, there were just playing it with stones on the ground.

https://en.wikipedia.org/wiki/Bagh-Chal
I write in R for much of my work days, and perhaps because I learned when the tidyverse was in its infancy (or before) I don't use much at all of its packages besides ggplot2. With the base r pipe operator I use zero dplyr and find most of its functionality has long existed in base R with functions like transform(). lubridate has a few good convenience functions (that ultimately I could do without), and I do like plotting in ggplot2 - in fact the latter is the only place I reckon there has been too much of a takeover because most plotting development effort I imagine is based on the grid and ggplot2 framework now. I do like tidyr::pivot_longer(), although it wouldn't change much if I had to use the less intuitive base R versions for dataframe manipulation.

Your colleagues are probably a symptom of how low the barrier to entry has been made by the tidyverse moreso than indicative of a total capture of the language.
Gobekli tepe might very well have been built by hunter gatherer.
There is no existence of agriculture on site.

Poverty Point in Louisiana is another example of temple complex without the city to sustain them.

Why do you assume hunter gatherer could not archive this level of complexity?
Is he going to label Sesame Street as a militant gang next?