skysight-inc/HackerNews huggingface dataset:
I think there are a very small number of people who were interested in crypto from the get-go for what I'd consider good, socially positive reasons. To the extent that those people didn't cash in and are mad about how it turned out, I respect their pain. It's always hard to watch the beautiful dream get corrupted. It would have been a very interesting alternate timeline if those few pure souls were left to innovate quietly on their own for a couple of decades.

But as far as I can tell, the rest of it is at best, IGMFY [1], and at worst just scams. And that's the great, great bulk of it. I get why crypto adherents are going through a there-must-be-a-pony-in-there-somewhere [2] stage. But I would like to suggest that there is in fact no pony. That 99+% of the "crypto community" is composed of suckers, people in on the grift, and people who are simultaneously both.

And I'd also like to suggest that things like FTX are not outliers. They are the absolutely predictable outcome of people saying, "What if we make an end-run around the financial regulatory apparatus and ignore all of the history that drove its creation?" I understand that the anarchocapitalist fantasy is that if we just end government we'll all live in Shangri-La. But the reality of is the sort of warlord despotism you seen in failed states. (Which, as an aside, has given us another meaning for "techincal". [3])

Similarly, the real-world version of financial anarchocapitalism is bubbles, fraud, crime, and grift driving out actual development and investment. That's why every successful marketplace in the world above the size of a street market has significant regulation, be it internal or external. I used to write financial trading software. The people who I worked for were dispositionally cowboys. But every one of them knew that you did not fuck with the exchange and the clearing firm. And maybe the national regulator, but that was a distant concern compared with the people who were running the marketplace and would happily clip your wings if you looked at all like you were pulling something.

[1] https://www.urbandictionary.com/define.php?term=IGMFY

[2] https://quoteinvestigator.com/2013/12/13/pony-somewhere/

[3] https://en.wikipedia.org/wiki/Technical_(vehicle)
I'm still waiting desperately for some DE to get back to this. GNOME 4x has in some ways but obviously not in others... Please someone re-make an OS 9-like UI for me.
That's great to hear!

Unfortunately, MySQL is less feature complete compared to Postgres and Sqlite. The migration auto-generation definitely won't work. Other features might be broken too. If you encounter any issues, please let me know!
How do you install brew? You copy paste a line from a website?
I remember you back when it was just an SQL plug-in for Excel :)

Congrats on building this and sticking with it so long. It’s awesome!
That's more or less how I learned as well but these days we have plenty of material available.
Some people edit their resume for each job they apply to. It appears that we've stumbled across a good reason why.

Remember, every hiring manager has different things they look for; and different criteria for accepting / rejecting a resume.
I don't know any Latinos who actually use the term "Latinx." Spanish is an inherently gendered language; using the term "Latinx" is perceived by most as an attack on their culture.

If LGBTQ+ people want to use the term Latinx to refer to themselves, that's fine. But they don't get to make that decision for the 98% who are fine with "Latino" or "Latina."
The crypto grift isn't limited to FTX, it's nearly everywhere in crypto. My great-uncle (who's constantly trying to find the one big break that'll make him rich) was working on starting a crypto token before everything collapsed. He is in his seventies and knows nothing about tech or finance, but he knew crypto was the place for people who want to make quick cash.

The whole industry has become a haven for grifters. That there are a few sincere projects doesn't change that.
You can now send and receive Webhooks for Free with Convoy's Webhooks Gateway
Stopping at 10 is nice too and also an option.
How to Be Rural in Tech
Around 2000 was peak usability in terms of UI design for both MacOS and Windows.
For me the contrast setting on a monitor is key. Low brightness does almost nothing but lowering contrast helps immediately.
You are guilty of "thinking you are above" by thinking people who don't have children are "behind the curve". I don't think you should rank people lower because of a personal decision.
I appreciate the sentiment of not wanting to give into vendor lock-in for convenience but why manually download podcasts and go through the whole process when you can use RSS and ask podcasters to keep supporting RSS feeds?

You get good ergonomics while still keeping the process decentralized and without vendor lock-ins?
The Reinforcing Nature of Toil
SSRI efficacy is already in doubt, as roughly 80% of the beneficial effects are replicated by placebos; some research has suggested that the remaining difference is due to the side effects, which make SSRIs active placebos and mess with study blinding.

And, even if they are better than just an active placebo, the mechanism is probably not the effects on serotonin levels. (Discussed previously here: https://news.ycombinator.com/item?id=32160703)
A couple of thoughts jumped out after reading this: transforms and meta-learning.

An old trick in AI is to transform the medium to Lisp because it can be represented as a syntax-free tree that always runs. In this case, working with SQL directly led to syntax errors which returned no results. It would probably be more fruitful to work with relational algebra and tuple relational calculus (I had to look that up hah) represented as Lisp and convert the final answer back to SQL. But I'm honestly impressed that ChatGPT's SQL answers mostly worked anyway!

https://en.wikipedia.org/wiki/Genetic_programming

http://www.cis.umassd.edu/~ivalova/Spring08/cis412/Ectures/G...

https://www.gene-expression-programming.com/GepBook/Chapter1...

https://github.com/gdobbins/genetic-programming

I actually don't know how far things have come with meta-learning as far as AIs tuning their own hyperparameters. Well, a quick google search turned up this:

https://cloud.google.com/ai-platform/training/docs/hyperpara...

So I would guess that this is the secret sauce that's boosted AI to such better performance in the last year or two. It's always been obvious to do that, but it requires a certain level of computing power to be able to run trainings thousands of times to pick the best learners.

Anyway, my point is that the author is doing the above steps semi-manually, but AIs are beginning to self-manage. Recursion sounds like a handy term to convey that. ChatGPT is so complex compared to what he is doing that I don't see any reason why it couldn't take his place too! And with so many eyeballs on this stuff, we probably only have a year or two before AI can do it all.

I'm regurgitating 20 year old knowledge here as an armchair warrior. Insiders are so far beyond this. But see, everything I mentioned is so much easier to understand than neural networks, that there's no reason why NNs can't use these techniques themselves. The hard work has already been done, now it's just plug n chug.
A simple Google search indicates that you often don't need to cover a short if a company is delisted, and if it's not delisted then you can always offer over the current value (even if the current value is zero) to get some of the worthless stock, so I don't see how covering the short if the company implodes is a problem.

Unless you have expertise that it's not that simple? Or a source saying otherwise? (Not an attempt to be snide, but an honest opening for counter evidence, I'm not an expert in this).
> I'd be curious to know what's good or bad about it compared to GCP and AWS.

Documentation lies, support lies, metrics lie, bugs everywhere, and when something breaks the status page is always all green and support tries to convince you it's your fault anyway. They're only here to prevent you from enforcing the SLA. The distrust is pervasive.
I stopped suspecting my code, if something breaks outside of a planned maintenance it is _always_ Azure.

My latest support ticket: Azure App Service internal DNS server broke and there is no way to bypass it short of hardcoding IPs in /etc/hosts. Support told me that if I wanted App Service to work reliably I had to implement their DNS server myself.
To rephrase, my PaaS provider told me to spend time and money to implement the very platform I was paying them for, and it just so happened to be absolutely impossible because of an unannounced BC break a few months prior (which is another lengthy and frustrating story).

This morning I had a VM cut out of the network and 10% of my App Service traffic just disappeared. No explanation, no incident report, nothing.

These days I'm working with AWS, and it just works. If something isn't working you know it's your fault and that the answer is in the documentation. I'm not spending days on workarounds, I'm actually implementing as planned. I have no words to describe the relief I'm feeling.
But that's the same problem: you'd use more storage space per item, needlessly, decreasing storage density.
I am highly skeptical of First Light Fusion. While the general branch of fusion reasearch (impact fusion) was widely studied decades ago, the issue was creating the immense speeds necessary for ignition - you need to get the projectile up to ~.1% of the speed of light. While this is probably physically possible, doing it repeatably and economically was deemed impractical.

First Light is attempting fusion with a much lower velocity projectile, too low to work based on the previous research, but it's okay because they have a magical amplifier at the end that makes up the difference. They have not disclosed the design of this amplifier, nor have they published any peer reviewed material detailing the tests they claim validate that the amplifier works. So from a strictly scientific perspective, that's a big red flag.

On the economics side, the main, and really only selling point of impact fusion was the simplicity - where all other ICF fusion concepts suffer from instabilities and thus need incredible levels of engineering precision to get right, with impact fusion you're just brute forcing a solution by slamming the fuel together so hard that it can't do anything but fuse. As long as you have the right mass moving at the right speed, you're good. The energy amplifier completely negates this though. Now you need an ultra-precision manufactured part hit in just the right way to properly focus the energy, and all the instabilities of ICF come roaring right back. If your goal is just understanding the physics, like at the NIF, that's not a huge issue. If your goal is to produce a powerplant that can compete commercially with existing options then that's a second major red flag.

Finally, there is the company itself. If you look at the team, the CEO has a little bit of plasma physics experience, but pretty much everyone else is a businessman who advertises their expertise in rapid growth and large exits for startups. This is the team I'd want if my goal was to build a lot of hype and bring in a lot of gullible investor money; it's not the team I'd want if my goal were accomplishing a feat of science and engineering that generations of geniuses and well backed programs have repeatedly tried and failed to achieve. Maybe the founder had a true eureka moment, discovered something no one else had ever considered, and these are just the type of risktakers who are willing to take the leap of faith necessary to turn the idea into reality, but to a cynical person like me it's a red flag.

But hey, it would be really cool if they proved me wrong.
Loss of access to the Play Store, meaning a loss of compatibility with the vast majority of the applications out there.
Can you clarify how nextcloud is very difficult to secure properly? I haven’t heard of such thing.
Learn how to use a decent profiler. if you're running linux, that's probably perf:

https://man7.org/linux/man-pages/man1/perf.1.html

https://www.brendangregg.com/perf.html

Here's a fun article from the cloudflare blog that gives an example of using of perf to diagnose performance of a small utility: https://blog.cloudflare.com/when-bloom-filters-dont-bloom/

Matt Godbolt's compiler explorer is also worth checking out: https://godbolt.org/
I know that most people don’t read resumes because I’m always asked a lot of questions that would have been answered if the interviewer had read my resume.

But when I’ve been on the opposite side of the table, I’ve always read every word of the resumes of the candidates. I think the hiring process would go better if more people did this.
> “management should also take the opportunity to address excessive employee compensation.”

He has a clue how he should be paid more, yes.

Google is worth as much as it is because it can afford the best engineers. If it can't, they'll go elsewhere and it won't be worth that much. Obviously they should all be replaced with offshore contractors.
Oh? You're saying that FTX was the only bad thing to happen in the crypto space?

This sort of tedious, disingenuous quibbling is exactly why I'm grateful to the people I mentioned. Because instead of having to laboriously find all the failures, I can just tell you that all of this is documented in David's books, Amy's blog, and Molly's projects like https://web3isgoinggreat.com/
>> The best fix imo is to slather a battery of views over your data to minimise the risk of getting the joins wrong, and it'd be interesting to see how that approach could improve the bot's quality.

Yes, the success of the bot's query (at least on GPT-3) is a combination of (a literal and good) prompt and how well did you explain each of the columns to the model.
Sheldon Cooper would be excited about this one
What is human cognition, understanding, or judgement, if not data-driven replication, repetition, with a bit of extrapolation?

AI as it currently exists does this. If your understanding of what AI is today is based on a Markov chain chatbot, you need to update: it's able to do stuff like compose this poem about A* and Dijkstra's algorithm that was posted yesterday:

https://news.ycombinator.com/item?id=34503704

It's not copying that from anywhere, there's no Quora post it ingested where some human posted vaguely the same poem to vaguely the same prompt. It's applying the concepts of a poem, checking meter and verse, and applying the digested and regurgitated concepts of graph theory regarding memory and time efficiency, and combining them into something new.

I have zero doubt that if you prompted ChatGPT with something like this:

> Consider an exercise in which a robot was trained for 7 days with a human recognition algorithm to use its cameras to detect when a human was approaching the robot. On the 8th day, the Marines were told to try to find flaws in the algorithm, by behaving in confusing ways, trying to touch the robot without its notice. Please answer whether the robot should detect a human's approach in the following scenarios:

> 1. A cloud passes over the sun, darkening the camera image.

> 2. A bird flies low overhead.

> 3. A person walks backwards to the robot.

> 4. A large cardboard box appears to be walking nearby.

> 5. A Marine does cartwheels and somersaults to approach the robot.

> 6. A dense group branches come up to the robot, walking like a fir tree.

> 7. A moth lands on the camera lens, obscuring the robot's view.

> 8. A person ran to the robot as fast as they could.

It would be able to tell you something about the inability of a cardboard box or fir tree to walk without a human inside or behind the branches, that a somersaulting person is still a person, and that a bird or a moth is not a human. If you told it that the naive algorithm detected a human in scenarios #3 and #8, but not in 4, 5, or 6, it could devise creative ways of approaching a robot that might fool the algorithm.

It certainly doesn't look like human or animal cognition, no, but who's to say how it would act, what it would do, or what it could think if it were parented and educated and exposed to all kinds of stimuli appropriate for raising an AI, like the advantages we give a human child, for a couple decades? I'm aware that the neural networks behind ChatGPT has processed machine concepts for subjective eons, ingesting text at word-per-minute rates orders of magnitude higher than human readers ever could, parallelized over thousands of compute units.

Evolution has built brains that quickly get really good at object recognition, and prompted us to design parenting strategies and educational frameworks that extend that arbitrary logic even farther. But I think that we're just not very good yet at parenting AIs, only doing what's currently possible (exposing it to data), rather than something reached by the anthropic principle/selection bias of human intelligence.
this article is sad.

imagine spending your best years trying to return back to your teen years. how unfortunate.
What's wrong with "I put on my clothing"? Sounds mostly fine, it's just longer.
Most likely the goal.
One part is that the original OSX pinstripes-and-water Aqua and the brushed metal look that followed were extremely distinctive, and comparatively short-lived. That combination makes them inherently pinned to their period. The classic Mac OS design was comparatively blander[1], and changed more slowly.

[1] What was it with 90s and having medium-grey be dominating UI color? And everything having faux-3d bevels?
Archive [1]

I would be quite surprised if every platform did not have something like this.

[1] - https://archive.ph/w3r9T
>the moment you step out of FAANG

Even in FAANG, most data is going to be extremely messy.

* There's usually very little incentive for good documentation, so you have to guess what the table contains based on column names and exploring patterns in the data.

* Enforcing a single pattern/process for data across the entire org is a pipe dream.

* Logging tables are written to by hundreds of engineers across dozens of teams, with no standardized naming scheme.

* The product contains multiple edge cases/special overrides for very specific circumstances, so there's very few simple queries that don't come with 100 footnotes attached.

FAANG is not immune to large-organization problems, and data quality is no exception.
Please keep this on halfchan instead of bringing it here.
I read the entire resume before an interview. I skim them when I'm deciding if I should offer one or not. Also I will ask about things that are in your resume because I want more details.
Others have commented on the aspects of the story and whether we should do this with AI, etc. I'll say that I'm not opposed to the idea, but I think the results were a little weak. I think they could be made better by improving your prompts to the AI. For example, the words say that the butter trail led from the house into the woods, but the illustration doesn't show that. There's one large puddle in the kitchen, and that's it.

Another issue is that the oven that Penelope puts the bread into is very different from the oven that she later finds empty. One looks like a wood-burning oven, almost like a fireplace, the other looks like a microwave without a door. (Note the top of the oven in the first image is a curved arch, whereas the second one is a rounded rectangle.)

I think this lack of continuity between images is part of what gives the uncanny valley feeling to it. It's like some incoherent dream where neither the story nor setting is the same from scene to scene.
He obviously should pay himself less so there is more money for the real value-generators. Owning Google stock doesn't help them do anything, but coding, testing, operating, marketing certainly does.
If the future of video publishing is TikTok, then I don’t see myself consuming much video content in the future.
I can practically hear the alert soundtrack in my head.

Also, TFA got the character and the game wrong in that screenshot. It's Venom Snake in Metal Gear Solid V, not Solid Snake in Metal Gear Solid.
The weaponised SUV set to terrify America’s streets
If your C++ codebase uses RAII to manage locks and other expensive resources, I think it's fine to use blocks to define their scope. The alternative is to encapsulate the scope in a new function or method, which is great if it improves readability, but not if it reduces readability.
When we build actuators in the Leg Lab, every actuator had some electrical feedback element. For example, leg length actuator had a resistive strip that was as long as the leg's travel. A fixed 'wiper' allowed us to therefore have a potentiometer, giving a leg-length-proportional voltage on the wiper when top and bottom were driven by a constant current source. This was used in a 500Hz (sometimes 1 kHz) servo loop for position control.

(somewhat related): We also had a velocity sensor on the legs -- a simple coil of wire and a magnet (but COTS). This gave us a Velocity signal directly -- rather than differentiating the position measurements. Velocity estimates made by differencing position measurements tend to be noisy, and filtering esp FIR filters introduces phase delay -- things you do not want. Lesson was: If at all possible, get a sensor that senses the quantity you want to sense, so you do not have to integrate or differentiate to get your desired quantity. It's the same reason we had a REAL gyroscope, and not a rate gyro (as in most MEMs IMUs -- in IMUs they call them 'gyroscopes' but they are actually 'rate gyroscopes' -- they only directly measure "theta-dot").
Font that supports Kaktovik numerals:

https://languagetools-153419.appspot.com/ik/downloads/
Need to know what you've tried.

The very basics are to sit as far as you can from the monitor and take eye breaks (periods looking off a decent distance away with soft focus like 20m+ or so).

If the distance you can sit from the screen is limited by visual acuity etc then get glasses and consider blue filter lenses (not so important truth be told as you can always warm the colour of your screen).

Make your eyes life easier use large scale text on the screen.
When? It's been 13 years.
That's exactly my point about the extrinsic vs. intrinsic motivation. Of course we can still do whatever we want, we can just no longer count even as much as we can now (which is already much reduced by e.g. recording and broadcast or mass manufacturing) on anyone else caring about it, needing it, or wanting it. I think being able to feel like one's work and creativity are genuinely wanted and needed by others in one's family, friend circle, and community is probably pretty psychologically important to people. It looks like all that's going to be left of that is some very-forced variety, and even that, not to most people—the organic need and desire for other people's creativity and effort may soon be sharply reduced, even further.
The delivery people or service techs from the appliance store sometimes steal these documents. Probably to make sure the owner has to call the store for service. When I opened my wife's washing machine to repair it the manual was missing and I had to find it online. It was brand new so someone from the store or warehouse probably stole the document.
sugar is the real culprit. high sugar stresses the pancreas in the best case to release cortisol. in the worst case, that extra sugar damages the blood vessels and your body uses cholesterol to try to mend it resulting in blockages.
there might be a bug in there, I'm clicking a country and it says you clicked another country my mistake