skysight-inc/HackerNews huggingface dataset:
The planes are okay... But the airports... omg they suck so hard.

Trains and train stations on the other hand, even though I use them so regularly, are still super nice. I wouldn't say "exciting" but very nice.

That's why I'm so angry that the French government and railway company keep making trains and stations more and more like airports and airplanes.
The page no longer includes that language. It now simply states "We have lifted the blocks of their servers from accessing ours, until October 1, UTC 00:00. Hopefully this helps them spin up their mirrors of all of WordPress.org’s resources that they were using for free while not paying, and making legal threats against us."

So, the original draft (which you saw/see?) clearly came from Matt; the reasonable version that's now on their website almost certainly came from Legal/the rest of the board.
This is super true. For my city’s portal as well. I’ve found one way around this by versioning the dataset - that is, committing the diffs in git. Credit to Simon Willison’s git-scraping technique.

I do this with my power company’s outage map: https://github.com/patricktrainer/entergy-outages

67k commits!

https://simonwillison.net/2020/Oct/9/git-scraping/
Hot Friend Compounds: The 'let's all buy a house together' dream, but real
wrong. a human needs to have insane resources to operate. each human needs a home, clean water, delicious and varied foods and a sense of identity and a society to be a part of. they need a sense of purpose. if a human goes down in the field, it has to be medically treated or else the other humans will throw up and stop working. that human has to be treated in a hospital. if these conditions arent met then performance will degrade rapidly. humans use vastly more resources than robots. robots will crush humans.
>secure signing enclave

wonder what this involves? TPM stuff?
It does, since you have only a finite amount of time to look at art during the day. Is it equally easy to find good art (for whatever definition of "good" you choose to have) if 5 out of 100 images you see in a day are generated by AI, than if 95 out of 100 are?
I haven’t tried this. What is the correlation between the audio and the text? I ask because after “take over the world” we can hear three screams but the text only has two.
I guess I am a little cynical, but one alternative interpretation of this article is that five year olds can be quite difficult, and it is very tempting to just waste 4 hours to avoid dealing with a temper tantrum.
I am loving your program making designs for my 3d printer. Thank you for sharing it to the world!
> Public schools ranked 5-15 are best for students without significant, significant social savvy and other forms of protection

Do you think these are also the best for incoming faculty?
I'm not sure where you're reading that the thief shouldn't also be charged. That's obvious, but if you need me to spell it out: yes.

What I'm talking about is how companies should bear liability for the social consequences of their choices.
Im trying to be careful about my use of risk and harm.

In my excerpt you quoted, I meant what I said, and added an edit that might help.

On average, drunk drivers are more risky than sober drivers. However an individual is not the average. The more information you have about an individual circumstance, the more it can diverge from the average of the model.

For example, for the average smoker, the lifetime risk of developing lung cancer is typically estimated to be around 10% to 20%.

If you know the smoker is 80 years old, the chance they will get lung cancer in their lifetime is much lower.

If that 80 year old smoker is in an airplane barreling towards a mountain, their chance of getting lung cancer in their lifetime is 0% and less than an average non-smoker.

The same is true for anything described by risk (like drunk driving). If you plug in enough details around the circumstance, the risk changes. Sometimes it goes up, sometimes it goes down.

>You’re right to wonder how a system based on civil justifiability principles that include concretized injury also allows criminal penalty for risk without harm.

Thats a big part of what I was thinking. Drunk drivers can cause tremendous damage, and make up a clear portion of vehicle accidents, but I think the actual chance of accident per individual drunk trip is quite low in terms of percent. Lets say for argument it is 5%, which I think is very conservative.

If we were to use all data available, I wonder how well something like future violent crime could be predicted. At what point is that a rationale for incarceration based on risk alone? For context, the Average recidivism rate for the category of violent instant felons (spontaneous violence) is over 60%. Average recidivism rate for groups with particularly serious criminal records (Criminal History Category VI ) are over 85%![1 pg 14], and that is without all of the invasive but theoretically available information like psychological reports, medical records, race, income, and family history, ect.

What are the implications here for the viability of criminalizing risk without harm. I know these two cases are not the same, but I am still processing the differences, to see what distinctions can be made. Surely we shouldn't incarcerate based on risk alone. I suppose that is why I am posting these provocative but good faith questions.

https://www.ussc.gov/sites/default/files/pdf/research-and-pu...
Open source is what you would get if an academic institution would release it.
This article provides a detailed analysis of the time complexity of skip lists. By breaking down the search problem, reversing the entire search process, and finding an appropriate L level, it ultimately derives the time complexity of skip lists. Based on the understanding of time complexity, it further deduces how to choose the probability p, and the reasons for choosing the maximum height in Redis and LevelDB skip lists. Finally, it tests the performance of skip lists through a simple benchmark and compares it with unordered_map.
That was GP's point. Being fired != being prevented from working. You are still free to get a job at a different employer that has different policies.
I actaully didn't realise that foomatic is part of cups-filters now?! On the other hand - it's only 'activated' by cups-browsed, if I understand correctly, at least by the currently disclosed set of vulnerabilities... let's hope an attacker can't craft a printer that will trick cups itself into configuring a dodgy print destination...
I think major scandals such as this one are essential, and we need more of them.

Why? The misaligned incentives that drive (in my opinion) otherwise-well-meaning human beings to fraud in the biomedical sciences stem from competition for increasingly-scarce resources, and the deeply and fundamentally-broken culture that develops as a result. The only thing that will propel the needed culture shift is for the people who provide the money to see, from the visibility provided by such scandals, just how bad the problem is, and to basically withdraw funding unless and until the changes happen.

Some of those changes include:

1. Reducing competition for funds by reducing the number of research-focused faculty positions (a.k.a. principal investigators, or PIs) across the board. When people's livelihoods depend on the ridiculous 5% odds of winning an important grant competition, they WILL cheat. As it stands, 20 well-funded scientists are probably more productive than 100 modestly-to poorly-funded, most of whom will do nothing meaningful or useful while trying to show "productivity" until the next funding cycle.

2. Reducing competition for funds by providing reasonably-assured research funding, tied to a diversity of indices of productivity, NOT just publications. As an example, a PI should be hired with the understanding that they'll need `x` dollars over the next 10 years to do their work. If those dollars aren't available, the person shouldn't be hired.

3. Reducing the number of PhD- and post-doctoral trainees across the board. These folks are mostly used as cheap labor by people who are well-aware, and don't care, that there will likely be no jobs for them.

4. Turning those PhD and post-doctoral positions into staff scientist positions, for people who want to do the research, but don't want the hassle of lab management. Staff scientist positions already exist, but in the current environment, when a PI can pay a postdoc $40k a year to work 80 - 100 hours a week, versus a staff scientist $80k a year to work 40 hours a week, guess which they pick.

5. Professionalizing the PhD stream. A person with a PhD in the biomedical sciences should be a broadly-capable individual able to be dropped, after graduation, into an assortment of roles, either academic or industrial. Right now, the incentive to produce publications tends to create people who are highly expert in a tiny, niche area, while having variable to nil competencies in anything else. Professionalization increases the range of post-PhD options for these folks, only one of which is academia. As it stands now, there's the tendency to feel that one has nothing if one doesn't have publications -- which increases the tendency towards fraud.
> You don’t know if it’s priced in. Was it priced in 5 years ago?

It wasn't priced in 5 years ago, that is the point today it is priced it, people expected this. You should have bought when Microsoft invested billions in them 2019, today more investments like this are expected once these investments stop NVIDIA stock will drop since they were expected.

So saying now is the time to invest is dead wrong, NVIDIA is currently priced as if these investments will continue to ramp up so these things are already priced in. Only idiots thinks "positive event -> I must buy stocks!", no if the positive event was expected then the stocks wont move, if a positive event was expected but didn't happen then stocks go down, that is the situation we are in currently with NVIDIA.

How do you know it was priced in? You look at what people say they expect, and this is what people say they expected, hence we know it was priced in.
do you know how ignorant and rude this comment is?
Good. In the US, we should all wake up to the fact that we enjoy the lives we lead in large part to the fact that we’re able to project strength. AI will be another piece in the puzzle of national defense.
Idk if the clam is true, but it does make me question sam's character. I appreciate how well documented and sourced it is and how the author attempts to capture the big picture through the accumulation of many small verifiable facts.

Edit: what is this lesswrong site about?
You greatly underestimate the sheer effort undertaken by most people to not pay Social Security tax.
Banned on 4chan?! That's speaks "boss-level evil"!
If you're a bit stable yourself (& used to skateboard yourself), try long-boarding (4 year old in front of you with plenty of protection, there's enough space on a standard longboard to fit an adult & child).

Or biking them in a bicycle trailer to the store/school.

Surfing is one I'm looking forward to myself, I've never done it either myself!
Just for the record: if you need this type of app, what you really need is a change of sleeping habits. Notably, you need to sleep more.
The answer is... ATC Simulator!
I agree with you, but it’s really simpler than that. China makes things and the west increasingly just sends emails.
Intelligence flowing like water reminds me of the computer in rollerball.
Just shave your head.
This happened all day long during Covid. The answer was never “we don’t know yet” which was at least honest but instead it was always “just trust us”. Exactly like i use to hear from preachers growing up.
"It just works."™
> automation meant that workers could move into non-automated jobs, if they were skilled enough.

That wasn't even true in the past; or at least, may true in theory but not in practice. A subsistence farmer in a rural area in Asia or Africa finds the martket flooded with cheap agri-products from mechanized farms in industrialized countries. Is anybody offering to finance his family and send him off to trade school? And build a commercial and industrial infrastructure for him to have a job? Very often the answer is no. And that's just one example (Though rather common over the past century).
Where I grew up the data for murders is curated in such a way that anybody that dies 24 after being attacked is not considered a ‘murder’. Tehy do this to reduce the statistical murder rate.
It’s a combination medicine because the major effect, while deemed desirable in the brain, is not so in the body. The partner drug is a non-brain penetrating suppressant.
You titled this as something like a blog post, but it's a link to a product. You should at least have used the "Show HN" tag.
I'm already starting to embrace it. Content overload through subscription platforms makes it hard for me to choose. My phone being an everything machine always distracts me l. I'm also tired of algorithmic recommendations. I bought a cassette player and find a lot of joy discovering music at record shops and browsing around bandcamp for some cassettes in genres I like.
Peer reviews are very surface-level, often delegated to inexperienced students, and not incentivized well to do any deep analysis except checking for proper references (the incentive here being making the author cite you or your friends). Been that student.
Humanoid Robots Are the Next Threat from China
https://www.wsj.com/opinion/humanoid-robots-are-the-next-thr...
In this context I'm not sure what "startup" is supposed to mean; but companies are fully capable of building up new cities if it makes economic sense. See https://en.wikipedia.org/wiki/Company_town. Disney was famously looking to run his own nuclear reactor so it is easy to imagine a private company doing fundamental nuclear research even if it isn't part of the nuclear industry.
Looks like there's only an iOS beta right now: https://testflight.apple.com/join/FsucFNDv
And now a whole generation of doctors will probably be “treating patients” using these “findings”. See eg COVID where it became obvious that the ventilators are killing people and then we kept people hooking up to them for several more months
It’s not quite Linux anymore if it’s a custom kernel…
And go to the gym.
Risen by a few points. Statistically significant but not really meaningful.
Why go through trademark rather than licensing agreement for access to wp.org resources?

If they are in violation of trademark why not just file a case against them?

Why the selective enforcement of your trademark? Doesn't that essentially void your trademark?

If wpengine renamed would you leave them alone or is the trademark dispute just a form of leverage?

What entity is at the heart of this dispute? Wordpress foundation, automattic, wp.org, or you personally? Is there any difference between those entities or are they essentially the same when it comes to this dispute?

I am a wpengine user. Why should I trust my building needs to the wordpress ecosystemgoing forward if access can be revoked for what appears to be any reason?
Do you have links to the other great resources you are referring to?
I thought the whole selling point of AMD GPUs was that they were a lot cheaper than Nvidia GPUs?
It looks awesome. I am definitely going to purchase a 14" Lunar Lake laptop from either Asus (Zenbook S14) or Lenovo (Yoga Slim). I really like my 14" MBP form factor and these look like they would be great for running Linux.
Is Tcl/Tk Dying Out?!
It is irrelevant for many desktop Linux users but some distros will have installed the vulnerable software by default on desktop installations and exposed it to the network. That could make it relevant for some percentage of the small percent of people who use desktop Linux and haven't applied security updates and have network misconfiguration or other vulnerabilities exposing their machines. On a scale from 0 to Crowdstrike it is basically a 0 in terms of real impact. It is still great example of an astonishingly stupid by design vulnerability that should not exist or have survived review.
I should think a combination transmogrifier/duplicator would be more fun than a boring bicycle, sure.
Apple has Neural Engine and it really speeds up many CoreML models - if most operators are implemented in NPU inference will be significantly faster than on GPU on my Macbook m2 max (and they have similar NPU as those in e.g. iPhone 13). Those ASIC NPU just implements many typical low level operators used in most ML models.
>Charlie Munger's observation

The more I've read about finances the more I've realized it can also be applied to many other things in the world due to its sheer objectivity.

On the other hand, I've also noticed most if not all of it is based on contexts and data from the mid 20th century. Interesting how that turns out.
Sounds like they logged passwords in plaintext. I seriously doubt that was done intentionally.

I think every developer has some idea how this could have happened.

Someone is working on a bug. "I'll print this state out to console and remove before committing." Forgets to remove it and does git add *. Its overlooked in code review and is then pushed to prod. Once running, the stdout of the process is automatically shipped to some log database. And just like that, there are now passwords in plaintext in the log database.

Sloppy as hell? Sure. Malicious? Highly unlikely.
Sibling already gave great pointers to structured concurrency in general.

For rust specifically the links in the post were good, some I hadn’t seen that came up in the last 2 years.

Perhaps someone from deep PL background has more rigorous papers and such to point to? I highly doubt this is being discovered now for the first time – it wouldn’t surprise me if there’s a whole academic sub-branch about similar things. Given how important concurrency is, and how difficult it is to get right, there’s a lot of opportunity for academia to tackle the problem space. We sure as hell need it.
‘Sufficiently advanced’ is the key term, e.g. if your sink was located on the premises of 5 star hotel then that would probably be indistinguishable from malice.
They will raise their prices in the coming years and companies will gladly pay it.
> The most depressing thing for me is the feeling that I simply cannot trust anything that has been written in the past 2 years or so and up until the day that I die.

Today is September 11349,
1993
I would also say that big tech companies (at least MSFT, Apple and Meta) are consciously all-in in this game. There is nothing else to drive "disruptive" growth in their ovens, and many tech stocks were already going down in 2022 pre-ChatGPT.

If AI fails to deliver its promises or fails to do so in the short timeframes implicitly proposed by the ecosystem, I expect dark times in terms of growth for the tech industry at least for a while.

Anecdote: As a on-off tech shopper dealing with some big providers from time to time, I can sniff the reek of desperation when trying to sell GenAI stuff. And that's weird.
I don't see it being the thing that makes it popular, but navigation is an easy thing for me to see improved by AR. Some people are comically bad at reading maps and admittedly, sometimes it's hard to orient yourself when your phone is not properly oriented and there aren't obvious markers to orient yourself with.

A bright blue line right on the ground highlighting your path would be an easy QoL win. Albeit small hence it not being the thing that I think makes it the popularizer.

-- As you say with the ikea app, I think my point is just one example of a wide variety of situations where people have a hard time visualizing that is made literal by AR.
John O'Nolan on setting up Ghost as a single-entity non-profit foundation
"I built a (software) machine that will aggravate my personal mental health problems".
Reproducibility should be a fundamental quality of published experiments.

If the published work under specifies the experiment such that it is unreproducible, that means the results can’t be reliably extrapolated because there are unstated conditions.
but then he wouldn't get to bilk people for $2.99/m
Sending humans to mars is difficult.
Maybe life was better 50 years ago if you were a white salaryman living in the USA, but outside of that things have improved for everyone else.

Most objective measurements of basic quality of life have improved: life expectancy, food security, education, etc.
>It makes me wonder about the meta question about how to stop whatever the next iteration of this will be

My take: general computing will be gone.

There will be no way to run arbitrary code on any device.

You can see the screws already tightening at several places. Phones have various methods like safety net that is meant to "protect you", apps can now detect if they were sideloaded, bootloaders are locked.

DRMs are running with kernel level privileges, Microsoft requiring TPM on new releases of windows. There is pretty much one browser left (Chrome), so google can do whatever they want with the web. I'm sure they are already drafting out the next "web attestation" API, except this time they will do it in the dark instead of in the open.

DNS over https means that you can no longer block devices from phoning home on your own network.

There is a handful of companies controlling about 90% of the internet if not more.
FTC Withdraws from Labor Pact in Antitrust Merger Enforcement
W… what is a weekend?
Well, then there’s the beaming back to Earth. Maybe that’s easy…I wasn’t sure. Thx for the snark, tho.
1. The Nature paper said one thing, the code did something else, as we've discovered. The RL method does some training as it goes. So, pre-training is not the same as training. Hence "pre". Another problem with pretraining in Google work is data contamination - we can't compare test and training data. The Google folks admitted to training and testing on different versions of the same design. That's bad. Rejection-level bad.

2. HPWL is indeed a nice simple objective. So nice that Jeff Dean's recent talks use it. It is chip design. All commercial circuit placers without exception optimize it and report it. All EDA publications report it. Google's RL optimized HPWL + density + congestion

3. This shows you aren't familiar with EDA. Simulated Annealing was the king of placement from mid 1980s to mid 1990s. Most chips were placed by SA. But you don't have to go far - as I recall, the Nature paper says they used SA to postprocess macro placements.

SA can indeed find mediocre solutions quickly, but keeps on improving them, just like RL. Perhaps, you aren't familiar with SA. I am. There are provable results showing SA finds optimal solution if given enough time. Not for RL.
> you don't need dairy products.

You generally need animal products for B12, but you can use supplements, I think. B12 deficiency can take a year or more to manifest severe symptoms.
> Perhaps "trust" was a bit misplaced here, but I think we can all agree on the idea: Before LLMs, there was intelligence behind text, and now there's not. The I in LLM stands for intelligence, as written in one blog. Maybe the text never was true, but at least it made sense given some agenda.

Nope. A lot of people just wrote stuff. There were always plenty of word salad blogs (and arguably entire philosophy journals) out there.
Alcohol taxes / excise are controlled at the federal level in Australia. In WA I think the high cost is 1/3 ridiculously high rents, 1/3 high minimum wage and other costs, and 1/3 operators screwing the public because they can.
Neural networks are much closer to modeling a brain than other approaches to AI, ie symbolic reasoning. There will always be differences (it's machine, not meat), but it's fair to say the approach is at least "brain like".

Your position sounds like a No True Scotsman fallacy.
Tangential but related: My young tween child a couple of days ago:

“I hate AI, I don’t know what’s real anymore”

I think we’re about to see something much more extreme than the early ‘net days of “photoshop!” rage at clever fakes