skysight-inc/HackerNews huggingface dataset:
I don't see that per-se. I think it's more likely that capitalism continues to rapidly advance technology to the point where we truly do evolve evolution. So a certain part of the global population will have access to DNA synthesizers and other biotech and AI and can reproduce a master race of post-humans that will dominate and eventually annihilate Homosapiens. After a few generations of rapid improvement (a singularity where post-humans and AI merge into a single entity) they'll view the rest of the world as we view other primates today and won't have much use for them. If not through intentional genocide then just being unable to compete for ecosystem, etc. Homosapiens will fade away as Neanderthals did.

Capitalism is a system (much more than just an economic system) that allows for selection like this. In a sense a type of market driven Darwinism which chooses how energy is spent developing the tools that allow humans to evolve rapidly into the next thing. That it's natural that Capitalism started with the industrial revolution which marks the beginning of humans evolving tech rapidly. It's almost as if it was inevitable once we reached that stage. To be against it is futile as it's as natural as gravity. And we just keep getting better at it.
And when there is social justice or involved it's about getting more people involved in engineering. I can see where "hey, quit being gross to women" can be read as excluding the unsavory but that framing presumes that a world where that's an intrinsic immutable property of a person.

I really don't buy the "some people just can't help being an asshole so having a rule against assholes is exclusionary." The most controversial CoC is by far the Contributor Covenant and rules are be kind and empathetic, show others respect, don't insult or demean others, don't be creepy or sexually harass others, don't doxx people, and behave like adults at work. Like the bar is so low.
Epee is the common man's sport, foil is for fancy lads, and sabre is for people who want to be pirates.
AWS Public IPv4 Address Charge and Public IP Insights
When people say "trust" in the context of Bitcoin, it's about not having to trust a middle man, e.g. PayPal, who are notorious for capriciously locking you out of your account and stealing your money, or denying service to marginalized populations.

It doesn't mean you can't get ripped off by the party you're transacting with directly, but neither does cash, unless you pay for some kind of insurance. Which you can also do with cryptocurrency.

Credit cards come with a form insurance built in, but that doesn't mean you're not paying for it (they charge fees), including when you trust your counterparty and don't want to pay extra for insurance on a low-risk transaction.
Media consolidation means most local and national news are controlled by a few people, this was happening in past few years as well in USA, and the number of people touting conspiracies and snake oil treatments (Geraldo etc) on Fox or formerly shows like Oprah sometimes predate social media. This along with social media was powderkeg in hindsight.
Scientists woke up a 46k-year-old roundworm from Siberian permafrost
The argument is actually more like: don't use badly written middleman software that tries to parse messages it doesn't need to parse.

I was at Google when the "let's get rid of optional" crusade started. It didn't make sense to me then and over a decade later it still doesn't. If a program expects a field to be there then it has to be there, removing the protobuf level checking just meant that programs could now read garbage (some default value) instead of immediately crashing. But the whole reason we have types, assertions, bounds checking and so on is because, almost always, we'd like our software to NOT just blindly plough on into undefined territory when it doesn't understand something properly, so in reality it just means everyone ends up coding those very same required-ness assertions by hand.

Now, Google's business model is remarkably robust to generating and processing corrupt data, so you can argue that in the specific case of this specific company, it is actually better to silently serve garbage than to crash. This argument was made explicitly in other forms, like when they deleted all the assertions from the HTTP load balancers. But in every case where I examined an anti-required argument carefully the actual problem would turn out to be elsewhere, and removing assertions was just covering things up. The fact that so much of Google's code is written in C++ that not only starts up slowly but also just immediately aborts the entire process when something goes wrong also contributes to the brittleness that encourages this kind of thing. If Google had been built on a language with usable exceptions right from the start it'd have been easier to limit the blast radius of data structure versioning errors to only the requests where that data structure turned up, instead of causing them to nuke the entire server (and then the RPC stack will helpfully retry because it doesn't know why the server died, promptly killing all of them).

But this tolerance to undefined behavior is not true for almost any other business (except maybe video games?). In those businesses it's better to be stopped than wrong. If you don't then you can lose money, lose data, lose customers or in the worst cases even lose your life. I don't think people appreciate the extent to which the unique oddities of Google's business model and infrastructure choices have leaked out into the libraries their staffers/ex-staffers release.
https://archive.ph/HiUak
I’m a former academic who did a bit of work that involved statistical analysis of data in a similar way as these studies.

Fuck. These. People.

We put so much work making sure the analysis is right. Sweat the design, sweat the data collection, the consent forms, and dropped the studies where the result wasn’t there, as well as reporting null results.
I specifically remember having to have a terrible conversation with a phd student that, after doing a power analysis, setting up a pilot study, and collecting enough data, we got p=0.054 on the relevant test. “Sorry, we can’t add additional participants; we can’t try a new analysis. We did the right thing and we should report a non significant result. It sucks.”

And these fuckers just go ahead and forge data to land TED talks?

Yes, let’s also have a conversation about incentives and the system. But individually, I reserve my sympathy for better people. Salt the earth they walk on, and rake them over coils. This is beyond reprehensible. Fuck. Them.
This is a relatively common phenomenon in multiplayer games. The most famous (infamous?) recent case is probably New World, which peaked at 900k+ concurrent users and lately peaks at ~20k every day [1]

[1] https://steamcharts.com/app/1063730
So the President doesn't know about it, but this random FBI dork does -- and it's such a well-kept secret that we're willing to extrajudicially imprison Americans who reveal details about the program -- but only if they do so in open testimony and not in a SCIF?

And he'll go to Gitmo, but only if the details are specific, because the people who will extrajudicially imprison the whistleblower for revealing details of the program are following the laws we have about classification?

Yeah...
I like plutotv for this purpose. Feels pretty close.
If going until the student gets one or two of the hardest questions wrong is highly predictive of whether they get selected, that implies that students near the selection threshold are getting very few questions wrong, right?

> Only asking the vast majority of students only e.g. 1 question, which they all get wrong, can't possibly measure how much they study, how comprehensive their knowledge is, etc.

This seems like a strawman?

Yes, a single question can't measure those things to a high degree of certainty.

But if you have students that do poorly on all the hard questions, and students that do well on all the hard questions, then asking them a single hard question might be 80% predictive of what group they're in.

Why is it bad for that percentage to be high?

The reason the test has lots of questions is specifically to increase the predictive quality. Being able to loosely predict from a small subset of questions seems reasonable to me. It doesn't mean the test is failing to measure the student's knowledge.
Thank you for your responses, appreciate you taking the time.
To be fair, X monthly users in 2022 were 0, so he's not lying...
The feed could be somewhat overlooked, at least for the time being, if hashtags and searching were properly implemented. If no interesting conversations appear in my feed then there's no way for me to spend more time on Threads. Open, Look, Close. Repeat that a few times and give up. I gave it a chance but there's just so little to do.
Stop Filming Concerts
Thanks.

> This is false, HTTPS only is enabled by default in Tor Browser

I think you misread me. I said the Tor browser does help here.
I haven’t looked into the data carefully but this strikes me as implausible at first impression for a few reasons.

One is that cultures with highly structured time for kids like China do not have the same dramatic rises in mental illness, that I’m aware of. Two is that this seems to only apply to middle class or rich western kids (unsurprising for academic studies). You really think poor kids are spending too much time at piano lessons and not playing? No they have the opposite problem of too much lack of structure.

Overall this seems quite narrow minded to me. The only part of this that rings true is the cultural phenomenon of wanting to make feel everyone safe all the time, even from mere ideas and speech.
So first it was effective altruism, now it's "effective accelerationism" as the new vehicle for the wealthy to feel better about themselves?
Jike might be the most important social network in Chinese tech
Controlling the commercial web is not the same as controlling the web.

Holding a bunch of bitcoin or mining a bunch of blocks does not allow you or anyone else to redefine bitcoin's fundamental rules.

These are incorrect statements.
I only skimmed the document but I didn't see any mention of glitches. If this hasn't been addressed I'm worried there hasn't been sufficient thought about the semantics of Observables. Glitches, and avoiding them in push systems, is addressed in Flapjax (2009): https://www.flapjax-lang.org/publications/

I also don't see why this needs to be part of Javascript when it can be adequately implemented in a library. Today's great idea is tomorrow's legacy.
I don't know, I would be curious to meet out of school dev from 20 years ago. Those I meet at my current job are... young. The lack of experience shows.

I guess at the time I was not better. Different, because using C I could still destroy hardware. Hard to program a CGA card from Python :D Maybe with MicroPython on an arduino now?
This is absolutely amazing.

TV sucks these days!
Might be an issue with your social class? I know plenty of poorer parents whose children aren't filled with a myriad of activities because the family simply can afford to pay them, the kids simply act like kids.
safe and effective
just two weeks!
>"Not getting 100%" is a bit of a straw man argument.

Alright, forget the number. Let's focus on active users versus signups and how it's being reported for Threads.
I don’t think the field has converged on “the right abstractions” yet.

It’s an active area of programming language research — it feels similar to where AD was at for awhile.

I work on this stuff for my research — so I do believe that there is a really good set of abstractions. my lab has had good success at solving problems with these abstractions (which you might not think are amenable or scale well with Bayesian techniques, like pose or trajectory estimation and SLAM, with renderers in a loop).

Other PPLs I’ve studied also have a mix of these abstractions, but make other key design distinctions in interface / type design that seem to cause issues when it comes to building modular inference layers (or exposing performance optimization, or extension).

I also often have the opinion that the design choices taken by other PPLs feel overspecialized (optimized too early, for specific inference patterns). I’m not blaming the creators! If you setup to design abstractions, you often start with existing problems.

On the other hand: if you’re just solving similar problem instances over and over again, in increasingly clever ways — what’s the point? Unless: (a) these problems are massive value drivers for some sector (b) your increasingly clever ways are driving down the cost, by reducing compute, or increasing speed.

I think PPLs which overspecialize to existing problems are useful, but have trouble inspiring new paradigms in AI (or e.g. new hardware accelerator design, etc).

Partially this is because there’s an upper bound on the inference complexity which you can express with these systems — so it is hard to reach cases where people can ask: what X application would this enable if we could run this inference approximation 1000x faster?

(Also note that inference approximations _can_ include neural networks)
> It’s becoming increasingly obvious that Twitter isn’t going to be that place with each new chaos monkey attack from Musk, but what the successor place is going to be remains to be seen.

First, Mastodon was going to be the new place. It wasn't.

Then Threads came along and again everyone said it would be the death knell for Twitter. It wasn't.

My takeaway would be quite the opposite. While everything that comes along might show promise at the start, people quickly revert back to their familiar network that they know and like (regardless of how much they claim not to).
> Agile speaks nothing of these sorts of processes

Agile is less specific about the how, but is very much centered on team-led adaptation of concrete process to specific circumstances.

Lean does the same thing, but actually talks about how to achieve that.

(Lean and Agile are mostly built on the same ideas, but the Lean literature comes at the ideas from an engineering mindset, while Agile literature does it from a fuzzier and more touchy-feely mindset.)
I can relate to this situation. I've been interviewing since June, and the only times I've advanced to the next round were those where I made no mistakes at all.
In the past, you could complete 90% of the task and explain the rest, which would hint to them that you know what you're doing. However, today's scenario is quite different. Now, you are expected not only to provide a complete solution but also to present it in the most currently accepted way.
> Keybase was sort of trying to do this with social proof, though it's reliance on a centralized provider (keybase itself) made it brittle.

I think something like this could've worked, which is why I was so sad over its demise. I think Keybase (like the MIT PGP keyring, which it is sort of a fancier version of) was predicated on the idea that it's much easier to build a centralized keyring and then decentralize it once it's widely adopted than to build a decentralized keyring from the ground up.
The entire premise is absurd.

From the title, I imagined it would be a criticism of lean. A canvas describing your wicked problem must be an exercise of practical comedy, there's no other explanation.
LOL. I'm not going to deanonymize datasets for an internet stranger. Certainly not for free, but also not at any hourly rate unless I know that the organization employing me either has the original non-anonymized dataset or at least have very strict internal controls about how deanonymized data will be handled.

(I also haven't done this work in a LONG time, and there's now a whole lot of academic work on the topic that didn't exist back then, so there are probably much better consultants for legitimate organizations looking to hire for this work.)

If you want proof, you can use google to find LOTS of papers along these lines analyzing real datasets. I think https://arxiv.org/pdf/cs/0610105.pdf is a fairly typical example.
> Twitter today isn't even that fundamentally different from pre-Musk.

If you don't have a Twitter account, you cannot see threads on Twitter anymore.
Couldn't you make the same argument about https requests over the clear net? You're request is being processed by intermediaries through your isp which three letter agencies could incorrectly correlate with you.

I know there are deep fundamental technical differences, but I could see an outcome where the end result is the same across both services. I'm not trying to justify to use tor as well, just that I don't think the argument of guilt through incorrect association is solved by not using tor.
>I had to carefully word my request around all these conclusions.

Aren't you clearly saying you already had a desired outcome and were just fishing for the data to confirm it? I mean, I wouldn't give you any data in that case either. It's a strong signal that you are motivated by something other than what the data shows.
>I think you misread me. I said the Tor browser does help here.

My bad, you're right! That shows my bias when it comes to this topic, way too much FUD.
Brilliant comment.
We had a principal in our little community school who had exactly that attitude. He encouraged 'playing", and was often criticized for his efforts, by parents who didn't understand. Overall, however, the kids from that school were all eager learners, curious as to the world around them, socially very well integrated, and easily adapted to the rigors in high school and later.
Play, is under valued.
Facebook has done enough feature launches that they train their teams to look for and expect a huge initial engagement peak as people explore the product. It's Deltoid 101.
As the other commenter wrote, I was replying directly to the parent and was referring to DirectStorage. I use DirectX apis daily haha
Yes: https://gpus.llm-utils.org/stable-diffusion-apis/
It takes a high level feasibility study to determine rough costs, project proponent financing, detailed study and detailed design, procurement of custom manufactured long lead time equipment, land purchase, environmental studies and permits, construction and finally commissioning. It takes 5 years to get consultancies with the experts to do the studies and design and construction companies contracts signed and completed.
A few things need to align.

The author has already explicitly stated how big a problem this is for them. That's a really good start.

It sounds like the author is making these realizations all after the fact. The next step would be to notice what's happening right before they go into daydream mode. This is difficult and takes a lot of practice/failures. That basically works against a coping mechanism they've apparently had their entire life. So the things they are coping with come into the foreground, and doing that can be scary and extremely disruptive. Therapist recommended for this step.

Finally, there's a way to look for comfy little toy problems to practice making a decision to do something other than the daydreaming. Things that are low risk and high reward. Imagine a vacation where your train departing while another goes the opposite direction, and you suddenly realize your deep desire is to tell the guy in the other train, "Hey, you're not allowed to smoke in there!" Bam-- perfect toy problem. You'll never see them again, and you can spend a bunch of time after that seeing what it felt like to say the thing that daydreaming prevented. But to get there you've got to be aware of the opportunity, and that takes time and practice.
Related. Others?

Fraudulent data raise questions about superstar honesty researcher (2021) - https://news.ycombinator.com/item?id=36726485 - July 2023 (33 comments)

UCLA professor refuses to cover for Dan Ariely in issue of data provenance - https://news.ycombinator.com/item?id=36684242 - July 2023 (131 comments)

Harvard ethics professor allegedly fabricated multiple studies - https://news.ycombinator.com/item?id=36665247 - July 2023 (215 comments)

Harvard dishonesty expert accused of dishonesty - https://news.ycombinator.com/item?id=36424090 - June 2023 (201 comments)

Noted study in psychology fails to replicate, crumbles with evidence of fraud - https://news.ycombinator.com/item?id=28264097 - Aug 2021 (102 comments)

A Big Study About Honesty Turns Out to Be Based on Fake Data - https://news.ycombinator.com/item?id=28257860 - Aug 2021 (90 comments)

Evidence of fraud in an influential field experiment about dishonesty - https://news.ycombinator.com/item?id=28210642 - Aug 2021 (51 comments)
Any insights for DACA? Besides the continual renewal cycles, are there any new opportunities or options? Many thanks for your time.
A pop in? Where a friend just shows up unannounced with a knock at your door and a tip of the hat and says they were just in the neighborhood and felt like they should drop and has a seat on your couch?
The words confabulation and lie have the same problem when applied to the current state of "AI": they embody are certain level of intent; in the former case, the implication is that there was no intent to deceive, while a lie is the opposite. Still, they both imply intent, and for as far as I know nobody has been able to conclusively demonstrate intent on the part of a chatbot.

Hallucination doesn't require intent.
I’d hesitate to make any broad point with stuff like this. My daughter sounds like your son, she loves unstructured play. My son on the other hand is much happier with structured activities. I don’t think there’s anything wrong with either.
They are used heavily in ML, how do you think VAEs work?

The white elephants are mostly the DSLs/frameworks that would have better off been torch/tensorflow extensions.
> If you’re concerned about an authoritarian state actor Tor was pwned years ago.

I mean.. wasn't it created by a department of the US Navy? What did everyone expect? The "white label" slapped on it years ago was that this was meant to help "Iranian dissidents" share information on the web.

The utility of this network to everyday people was never going to exist.
Thanks for the above reply! Useful feedback/inputs for us.

> Looks like Debezium Server doesn't require Kafka, ZK for setup. However it supports only messaging queues as sinks (targets). So to stream CDC from Postgres to a DWH - one needs to a) setup/manage messaging infra as a part of their stack to capture CDC changes b) write/manage reading from the message queue and replaying the changes to the target store (ex: Snowflake, BQ etc). With PeerDB, you can skip these 2 steps. CREATE MIRROR can have targets that are queues, DWHs or databases.

> That is true, however the ones we tried aren't very simple to work with. For example - confluent was super tricky to work with. One has to setup a sink (to message queues), use another connector to move those changes to snowflake, use something else to normalize those changes to the final table. Overall total number of moving parts were quite a lot. decodable.co might give a better experience, will give it shot! :)

> On parallel snapshotting, very interesting, looks like it is a recent feature Debezium added (March 2023). I missed that one. In regards to parallelized reading of slot, Postgres enables you to read a single slot concurrently across 2 connections using 2 separate publications - each publication filters a set of tables. Same here, we are also excited for the benchmarks. Will keep you posted! :)

Thanks again!
I'm currently on H1B. I'm getting married soon to the US citizen so I'm planning to apply for marriage based green card. Are there any downsides to apply for EAD(I-765) and Advance parole(I-131) along with I485?
Ask HN: What do you think is missing in G2? (The Software Marketplace)
Things like this are actually some of the main reasons I'm moving my family to Europe. In Europe, my kid can be her own person with her own schedule and her own environment to explore on her own terms. In america, she'd be isolated and dependent.