skysight-inc/HackerNews huggingface dataset:
I'm not from the UK, but from the other side of the english Channel, i both agree with this take, and disagree.

I was working a lot with the EU at the time (european research program/BOOST4.0/H2020, i was basically the new sysadmin/dev that was send into those meetings because i was the new guy and nobody wanted to do it)(that's when my hatred of ATOS started, corrupt little shits).

I managed to understand some stuff (not much) during big informal lunches, dinners and stuff (i was paid poorly, but the benefits were great, i think i never ate this well :) ). From what i've understood from the European Brexit guy (who was also French, forgot his name), May did absolutely nothing for two years. She was absolutely blind to the issues that would arise and was focus on internal affairs. The people who were nominated to take care of foreign policies, as well as some UK assembly members kept delaying a lot of meetings (the one concerning me in particular: not a word on the funding of common research projects, nor on the handling of data. Do we keep london data in the air pollution research? Can you at least put a license on that? No? Yes? Do we scrap it?). I was less there in 2018 and out by 2019, but if i managed to hear properly, she was surprised of the work that still had to be done, then had long meetings with the EU brexit guy, then starting doing shit, added bureaucrats to the subjects. Not sure if anyone was sacked, but everything started moving once she was made aware of the issues, but it was a bit too late.

In the end, she agreed to a deal (that was quite fair) that she did not wrote, but that she did read (i heard a lot of noise about how the UK signed the deal without reading it: that was under Johnson, i'm a 100% sure she read the deal thoroughly, probably missed some caveats because of the time constraints, but that was mostly fair).

So sane: sure. Competent? That's a good question. I'd say yes, mostly, once she noticed something was wrong, she tried to fix it, maybe a bit late, but still. I think the late awareness wasn't totally her fault. Maybe her brexit guy was incompetent, or maybe he wanted to cripple her, either way she choose poor subordinate.
I think this really puts the lie to the idea that market based housing is going to be good enough. It is not good enough to reduce the rate of rent inflation, as housing is already not affordable enough.

We need local and state industrial policy that actually builds affordable housing.
If it was good at predicting crime I highly doubt only 2/38 departments would have cooperated. The know it doesn't work.

And it looks like they had some data:

>We examined 23,631 predictions generated by Geolitica between Feb. 25 to Dec. 18, 2018 for the Plainfield Police Department (PD). Each prediction we analyzed from the company’s algorithm indicated that one type of crime was likely to occur in a location not patrolled by Plainfield PD. In the end, the success rate was less than half a percent. Fewer than 100 of the predictions lined up with a crime in the predicted category, that was also later reported to police.
It's a tax haven for rich people just like Andorra and Monaco so yeah. People are very well off there.

In fact I'm sure the country is even richer if you compare the wealth of the average citizen instead of GDP because not much (goods or services) is actually produced from there. It's more like a place you go to after you've already made your fortune.
Suppose you could have some fun putting made up technology honeypots in there to weed them out.
> brokers like FTX

FTX (excluding FTX USA co) were unregulated - they were not a bank or broker just a plain old LLC.
NYC is a little bigger sample than Plainfield, NJ:

https://ccnmtl.columbia.edu/projects/caseconsortium/casestud...
> A big problem is we will soon have large models planning Turing unpredictable, devilishly elaborate, infallible heists.

I would watch that movie
Oh, absolutely. I'm all for building smaller phones. If I could get a Pixel 3a new today, I absolutely would be using that.

I'm just saying that GP is being a bit disingenuous in setting this trend at the feet of Google or manufacturers of Android phones when Apple, too, has been increasing the size of their phones and cutting smaller products.

The issue is the duopoly itself.
Plenty of people sentenced to life in prison care, and some of them do get their sentence overturned because people actually do care about not locking innocent people up forever.
I think there's good evidence that by the time it reaches common use, it will be used that way.

Consider ShotSpotter, which uses an array of microphones in an urban environment to detect gunshots (and often then deploy officers to the location) [1]:

> A ShotSpotter expert admitted in a 2016 trial, for example, that the company reclassified sounds from a helicopter to a bullet at the request of a police department customer, saying such changes occur “all the time” because “we trust our law enforcement customers to be really upfront and honest with us.”

In this case, it seems like it's more like "evidence laundering" - a cop found a bullet (presumably through legitimate means) and would like to use the ShotSpotter results as additional evidence that the shooting took place, and so requests a re-classification of the audio recording. Even in this case, where the parallel evidentiary construction is presumably legitimate, one can imagine the problem - a jury may put more stock in a ShotSpotter result than the cop's testimony about a bullet. But in this case, the ShotSpotter "result" is due precisely to that testimony.

Never mind the fact that ShotSpotter microphones are powerful enough to pick up loud conversations [2]:

> The apparent ability of ShotSpotter to record voices on the street raises questions about privacy rights and highlights another example of how emerging technologies can pose challenges to enforcing the law while also protecting civil liberties.

Predictive policing will require large-scale data collection, and policing institutions don't seem to always use it the way we'd want them to.

[1] https://www.aclu.org/news/privacy-technology/four-problems-w...

[2] https://www.southcoasttoday.com/story/news/crime/2012/01/11/...
How does this compare to Sympy? Can't find an equivalent to Sympy's solve() in the documentation.
Psilocybin induces acute and persisting alterations in immune status
A lot of drivers tend to drive like assholes so this isn't too surprising.
The EU is not totally powerless. Brussels witheld €22bn worth of EU funds until the Orbán government complied. Now they are releasing €13bn in exchange for Hungary's cooperation. Of course, Orbán will continue sabotaging everyone in the EU, along with his pal Karl Nehamer and now Slovakia's Robert Fico.

https://www.reuters.com/world/europe/billions-frozen-funds-h...
Yes I’m sure that driverless cars are purposefully trying to cause rear end accidents by brake checking.

Your reply is totally relevant in the context of someone blaming driverless cars for stopping when it doesn’t know what to do.
Isn't that what transactions are for?
You might get a whole bunch of vague or outright BS answers for "reasons for being fired", especially from small or medium sized companies.

The internet is a great sleuth, and if someone who was recently or at one point fired was just so inclined, they could probably deduce a lot of information that a company might not want public as it could potentially introduce a whole lot of legal liability.

So if Tech Company XYZ with 50 employees based in LA or SF says "we fired an L5 backend engineer for reasons A, B, and C", that employee might find this thread and be like - "hey, you can't talk publicly about that in detail, you said as much in our severance agreement"
One of the main benefits of sudo is that nobody needs to know the root password to switch to root (like one would need when using su). The actual root password can be saved in some break glass system, and admins only need to manage their own passwords.
No we punish the companies now, not the thieves, see Kia and Hyundai.
Framing a House with Larry Haun (1990) [video]
From my 5-minute read of the situation, this feels similar to the quote about politics in academia, “Academic politics is the most vicious and bitter form of politics, because the stakes are so low.”

The more you get out of the mainstream and you’re dealing with status in some tiny subculture, the more you’re going to see people delve into minutiae to undercut someone achieving that status. The lower the stakes, the nastier it often gets.

Chances are that this person has people who are envious of whatever limited celebrity she has and are waiting for opportunities to criticize her. When she gave them one, they jumped on it and used the defense of this author’s feelings as their pretense. But anyone thinking it was real outrage is missing the underlying dynamic.
Every competent lawyer I've seen interviewed in newspapers hedges with something like "it's hard to predict / lots of potential factors". One thing's clear, is that the scale of SBF's crimes max out the offense level of the federal sentencing guidelines. So there's no upper limit to the sentence: it's rather a question of how many mitigating factors can be found to push things downwards.

e.g.

https://www.cnbc.com/2022/12/05/sam-bankman-fried-could-face...
You assume that paid users are actually option out of privacy invasion. They aren’t seeing ads but that doesn’t mean Meta isn’t invading privacy to continue to build a profile if you and those who you connect with regardless of payment.
Note that this project is not an attempt to replace the Go runtime, but here is what we will do:

Precondition: in Go, each goroutine has its own `g` structure (like TCB, but for controlling goroutines) and its address is stored in the `g` register, which is reserved by the go compiler, active goroutines can call a function runtime.getg() to obtain the value of the `g` register.

In the official runtime, the `g` structure is a concrete type and the scheduler is implemented globally in the runtime package.

But we have made the `g` structure customizable (still requires a fixed header expected by the function prologue & epilogue and linker), so custom g implementations may contain a link to a custom scheduler, and the scheduler can decide how to handle an active goroutine.

> "goroutines" that automatically suspend themselves

The automatic suspend and resume happens by

- calling `runtime.entersyscall` from a running goroutine
- and calling `runtime.exitsyscall` from an finished systemstack

all these operations can interact with the custom `g`, thus can interact with the custom scheduler.
I think there's a dynamic where:

- Desirable job applicants get hired quickly, but people who can't get hired stay on the market

- People who can't get hired will keep applying to more and more jobs

- So every new job opening gets flooded with applications from people who couldn't get hired elsewhere

- Employers don't have time to read the flood of applications in detail, so they rely on cheap filters (keywords on resume, where they went to college, did they work at FANG, etc.)

- Which makes the process worse for everyone

What if there was some way to limit job seekers to e.g. 10 job applications per month, industrywide? Feels like that could cut down the noise and allow employers to consider each individual applicant more carefully.

(It would be hard to implement this limit, though. You could do it via data-sharing between Greenhouse, Lever, Workday, etc., but there are huge privacy concerns and it would run into the same sorts of issues as credit reports do.)
I mean, big corpos for years have been automating the hiring process to the detriment of their own results. Is it really that surprising applicants are ready to do the same? Now suddenly automation is bad? Hiring managers being butt-hurt that their automated factory farm application process is being inundated with spam generated by other automation is so hilarious to me, this just made my day.

You get what you fuckin deserve. If you can't be arsed to review applications with people, why should people be arsed to apply in person?
A fact that tends to get forgotten in all these goofy "US is an aggressive empire" memes: host countries can get rid of US bases whenever they want.
That's great that pgroll does this, but the heavy lifting for supporting this comes at a huge cost on the application side, IMO.
Strategies to expand your threat model and secure your supply chain
I mostly lost interest in it when I learned that it's possible for a file published to IPFS to simply blink out of existence one day in the future (if no one is left pinning it).

At that point I'd rather stick something in an S3 bucket and pay for it myself.
If the code can easily be vectorized then it has the potential to vectorize it incorrectly or there is some automation happening that is hidden. If they're just saying their non-vectorized operations are just as quick, then how quick could true vectorization be. Also, this is how Octave, NumPy, Matlab, R, etc work by making vectorized math operations happen with whole matrices using statements that look like simple non-vector operations.
Further, usually when people are having these kinds of issues it's because they started with a non-parallelizable concept of their problem in our trying to redo it... And no amount of magic is going to fix a bad concept of the problem space.
To be fair, I can often be uninformed with regards to some of the smaller movements of techcos.
An in-depth look at Python's built-in data types: integers, floats, strings, booleans, lists, tuples, dictionaries, and sets.
Thanks! Do you want the ability to call a Job from inside another Job and wait for the result?

We have a discussion about that here, would love to get your input: https://github.com/triggerdotdev/trigger.dev/discussions/516
> E.g. a Tesla driving under a semi because it thought it was a billboard.

People don’t like what they can’t understand. Most of the accidents caused by autonomous vehicles are weird and probably would have been avoided by human drivers. However, this isn’t the whole picture, because those same vehicles also avoided a bunch of accidents that humans would have caused.

My interpretation of the data is that autonomous vehicles are already statistically safer than human drivers.

Problem is, humans are emotional beings who aren’t always capable of pure rationale. If you tell someone they’re statistically safer in a Tesla, but it might accelerate into a wall at 60mph, many people won’t take that risk.
The threat of punishment is broadly ineffective at preventing violent crimes that arise from inflamed tempers or insanity, mental spaces in which people do not respond rationally to incentives and punishments.

However, incarceration incapacitates convicts and prevents them from being able to re-victimize the public for the duration of their incarceration. Locking up serial killers is a good idea, not because it dissuades other would-be serial killers (it probably doesn't) but rather because a serial killer who's locked up in a cell is a serial killer everybody else doesn't have to worry about.

(Furthermore, the threat of punishment probably does dissuade the kind of murders that might be committed in 'cold blood' by rational people. For instance, it may be easier for a robber to shoot everybody in the jewelry store than to waste time with crowd control, but doing the robbery nonviolently is incentivized by the severe penalties for mass murder.)
There are cheaper.. but it might require dithering..
Inevitable in a good way. Keep going! There's gold here.
Layers work to the degree that you don't need to be a subatomic particle physicist to write this comment.

There are good abstractions and bad ones, all with varying degrees of leakiness and sharp corners. The good ones definitionally prevent you from needing to understand much about what they're abstracting.
Manslaughter is not murder, but it's still a crime. Executives are often held to the "knew or should have known" standard. So, yes, in his position, extraordinary incompetence is still a crime.
I think it's a backlash against touch-UIs forced on on destop users: everything is flat, lots and lots of empty wasted screen space, huge buttons, no borders, no scroll bars, etc.
125 watt hours for a raspberry pi to generate an image in 10 hours compared to 7 watt hours for a 440W PC to run for 1 minute.
Yep. My understanding is that they have to vet and monitor the patients extensively and provide other coverage should negative things happen. If it was as simple as "let the person buy the drug" then it would be a different story, but they can't legally do that.
I want to believe, but I also remember 2007-2014 $1 houses, GM bankrupcy and such - is it really different?
Github says it is C, C++, and Starland.

What is Starland ?
I own a framework, and 3/4 of the ports are failing.
I shilled this machine hard when I got it, but now I have dubious connections to my ext-monitor and my microphone. Sometimes when I'm moving files to-from my SSD I have intermittent failures.
Also the hinge that it comes with is fucking atrocious.

I really wanted to love this $1500 product, but frankly; I'm just going to resuscitate my thinkpad, and get my work to provide a desktop and use x11 forwarding on it.
and resulted in project failure. Grant Saviers was responsible for PC division in early nineties.

Oral History of Grant Saviers, part 2 of 2 https://www.youtube.com/watch?v=Od830KDrLUU

Oral History of Grant Saviers part 1: http://archive.computerhistory.org/resources/access/text/201...
Oral History of Grant Saviers part 2: https://archive.computerhistory.org/resources/access/text/20...

>As DEC’s Corporate Vice President of PC Systems and Peripherals from 1990 to 1992 Grant successfully restarted DEC’s PC business from a dormant state and grew revenues to $350M and break-even profitability in 18 months.

@18 minute timestamp - they copied DELL strategy and did pretty good, business was growing and then DEC founder and CEO Ken Olsen decided to kill it. Grant got recruited to lead Adaptec.
I appreciate this guy taking the time to test this stuff out, but... 2.5 minutes per application seems really reasonable and short? Even the Post Office application that took 10 minutes seems fine. I get that you might have to apply to a lot of different jobs, but at that rate in 2-3 hours of focused work, you could apply to nearly a hundred different jobs.

The fact that it's that easy to apply belies the tone the article takes, which generally bemoans how hard job applications are. But they didn't demonstrate that it's hard at all! Moreover, the author even says in the beginning that they didn't use any of the products that help you, like LinkedIn Easy Apply.

Anyway seems interesting but this mostly just confirmed my perception that applying to jobs is pretty easy. Interviews, on the other hand...
Very exciting, there are so many things happening in the Elixir Machine Learning space, with all of it focusing on being easy to deploy and test yourself.

I just love that you can create robust ML services. Which for me, isn't as easy to do in Python, even though I've created async service with core Tornado before asyncio was a thing.
I supported a few fleets of smartphones back in the windows mobile and blackberry days, when they all had replaceable batteries.

Do you know what people did when the batteries died? They overwhelmingly bought a new phone.

Just because something is technically modular doesn't mean that:

1. other people know how to diagnose the problem

2. other people want to spend time or effort repairing the phone

3. other people don't just want a new phone anyway

While people on this forum are often power users or technically minded people who like spending mental cycles on their devices, this is not what other people are like. People who are purely users delegate the fixing of their devices to others.
I have a similar take with slightly more recent experience.

When it came down to it the resource requirements for an IPFS node were pretty insane relative to the "value" provided and by many takes it still basically didn't "work".

I understand it's not the same thing at all but in the days of running a web server on nearly anything than can handle many thousands of requests/sec an IPFS node running on the beefiest hardware we could throw at it ate tremendous amounts of system resources and bandwidth for double digit requests per second, and even then it would frequently time out and/or get into various unrecoverable states necessitating a service restart. We had to run a cluster of them and watch IPFS nearly melt the hardware...

We tried every IPFS implementation available and ended up having to use the "least worst" while also adding a lot of instrumentation, health checks, etc around it just to keep it up and running in some kind of consistent, usable fashion.
Adam Neumann of WeWork committed fraud the smart way. He told qualified investors exactly how he was going to cheat them, and then got them to sign binding contracts agreeing to be cheated. That was kind of slimy and cynical behavior, but it wasn't a criminal offense under US federal fraud statutes.
Does lightning strike on Venus? Maybe not, study suggests
Apart from the obvious web3 stuff there are some interesting usecases for classical enterprise software.

Caveat, my experience is limited to clusters below 100 nodes.

You can run your private IPFS DHT if you want and the protocol has some cool load shedding features. There is also IPFS cluster which adds data availability features to your IPFS deployments. When we tried private IPFS networks the cluster project was relatively early and we found that managing DA in the application that owns the data ended up being more straight forward so we didn't use that but I've heard good things lately.

If you don't need to enforce access management across your internal data calls it can be an interesting alternative to stuff like minio or ceph. YMMV but my experience was that, running a private IPFS cluster can be easier and much more flexible than running a similarly scaled minio or ceph deployment. It can be seen as a shift left like DevOps is. Instead of having each internal app on your project depend on a Data team that manages Ceph or another data storage and access technology you run (most of) it yourself.
I'm really happy the girl was rescued! This story could end in a horrible way.

But no, I'm not in favor of the technology that allowed that. I think there are a lot of tradeoffs to giving the state powerful tracking capabilities, and the same power can be used for evil instead.

As another example: I work in cybersecurity for a governmental institution. A LOT of crimes could be solved if my organisation could MITM any citizen and get access to their plaintext traffic, probably also crimes involving 9 year old girls (given the sheer scale of cybercrime on national level). But I really don't want to have that power.
No, the line is clear. Now here's your government issued box and tarp.
Why not both? People shouldn’t steal cars and companies should probably be held accountable for gross negligence.
Nope. Only Earthly CI is.
It's not a perfect solution but it's also not believable that what's stopping people from committing violence is the law and not the violence itself. If you're willing to commit premeditated violence, you're already far beyond the influence of the law.

If someone carjacks a car they are willing to accept the risk that the person they're robbing may have a gun. They are literally willing to put their life at risk, something only someone with nothing to lose would do. Do think maybe getting caught by the police and spending 10 years in prison is as big of a threat to this person as being shot and killed (a risk they've already decided to take)?
Also $29 to get pre-trained model assets to run code.
Open Decision-Making (2021)
Bluetooth is 2.45 ghz.

Bluetooth® technology supports transmit powers from -20 dBm (0.01 mW) to +20 dBm (100 mW).