skysight-inc/HackerNews huggingface dataset:
Amongst the UK-oriented subreddits, there is a phenomenon called the Forbidden Meatball Problem. There is a dish associated with the West Country of England that you can't discuss on Reddit because Americans don't know that its name can mean something other than a homophobic slur. The moderators of those subreddits have raised the issue of banning people for discussing food and received no adequate response.

Reddit enforces its own moderation policies on subreddits, regardless of the wishes of the moderators or communities, which can only be done effectively if the company has awareness of more social and cultural issues than the ones in Silicon Valley.
Security is often implementation dependent, meaning: you need to understand exactly how your software does what it does before you can understand how to do that securely.

For non-trivial software, this almost always means you will have to build an implementation first, before thinking about how to add security.

Overall, I think security has gotten much better, but for complex software there are always going to be challenges.
What makes you think this is related to “chinese culture” as opposed to “circumstance”?
Without qualification it looks like a great demonstration of the fundamental attribution error [0] and a very fashionable position to have in today’s western world.

0 https://en.m.wikipedia.org/wiki/Fundamental_attribution_erro...
All building blocks for life discovered on Saturn’s moon
I concur. Even roses which are extremely expensive and nominally "highly scented" don't smell at all, anymore. I used to have to go on a hunt for a varietal with scent, and now even with a lot of hunting, I can't find them anymore.

The problem is apparently that some enzyme that makes scent also tends to break down the flower. So, the "lifetime" of a cut rose is inversely dependent upon the volume of scent.

And, since everything is shipped around the world from the absolute lowest cost area, "lifetime" becomes the only goal with everything else being secondary.

Thus, we have roses with no scent.
>Why did you think that?

It is a purely statistical model. It does not know any "rules" about the language (it doesn't know any language at all), but it is fed data and derives from that sophisticated probabalistical relationships between words.

It shouldn't have much of a problem to generate the correct grammatical formulations, as it has been extensively trained on them. Moreso than any other technology neural networks are suited for this kind of tasks where hard rules do not exist (as a German I couldn't tell you why "rain" is masculine, but "machine" is feminine), but lots of data correctly implements the rule, does.
> but it still might overlook important subtleties

If there's one thing we can be certain of, it's that LLMs often overlooks important subtleties.

Can't believe they used GPT4 to also evaluate the results. I mean, we wouldn't trust a student to grade their own exam even when given the right answers to grade with.
30 Countries Participate to Ditch the U.S. Dollar as Global Reserve Currency
My favorite "weird" thing common in X11 window managers is how they can separate the focus and the raising operations. On windows(and I presume mac) these operations are tightly linked. Why would you want to separate them you might ask? It turns out to be really useful to look at the window on the top and be able to type/control the obscured window underneath.

On the one hand X11 sort of sucked with it's inconsistent window handling mechanisms. On the other hand because there was no central policy some very good novel productivity advancements were made in X11 space. select/single click paste, focus follows mouse, don't raise on focus. tiling window managers.
Very interesting. Could you elaborate a bit more on why the previous iteration didn't work out?
Self service on an EV is easy. There's so little to do that you can learn it all yourself. Change tires, inspect and lube brakes, check brake lines for water, change wiper blades, change cabin air filters. That's pretty much all you need for about 10 years when you'll have to replace the brake fluid and/or 200,000 miles when you'll change the brake pads.
There is no amount of money that you could give a billionaire to make them want to pay their employees more.

There is no cap on wealth, nothing is ever enough for them. Aside from external forces they'd hire as few people as possible and as cheaply as possible
Can you clarify what you’re referring to?
>But from a theoretical standpoint it's not known why we really need all these fancy architectures

As someone who has been researching neural networks in a variety of settings for a very long time now, it is actually pretty obvious. There is also no real "magic" to it, even though it certainly might seem so to people who did not follow the academic world of research closely. But to those who do, all of this followed a pretty straightforward path, even though certain key steps were only obvious in hindsight. We already knew since the 90s that a perceptron with a single hidden layer can approximate any function (with some caveats that in practice only boil down to computational limits) with arbitrary accuracy, with the error scaling like 1/N with the number of hidden Neurons. But the proof of that theorem already shows that this is by far not the most efficient way to approximate functions. While in practice you could plug pixel values of an image directly into a perceptron, computationally it turned out to be hugely more efficient to use convolutions first as a dimensionality reduction scheme. This not just allowed people to train much larger networks on larger datasets, it also highlighted how additional layers enable hierarchical knowledge. So the first layer of such a network might only encode lines or circles, while deeper layers could encode noses and ears and eventually entire human faces. For language modeling, the thing holding everything back was also computability. Recurrent neural networks are theoretically even more powerful than simple perceptrons, but they come with a significant cost when computing gradients. Trying to improve these restraints is what eventually led to the transformer, which at its core is just an extremely scalable, general purpose, differentiable algorithm that you can optimise using backpropagation. We didn't need this architecture from a purely theoretical perspective, but we needed it in practice because our computing hardware is still very limited once we are trying to mimic actual biological neural networks as you would find them in the human brain.
I’m not rebutting Maciej, I’m noting that Ellsberg already did answer this exact point in detail in the Washington Post.

I can’t imagine how that isn’t relevant here.
there's an interview with graeber about the book that covers a good deal of the book's content pretty succinctly:

https://theanarchistlibrary.org/library/david-graeber-and-ja...
You likely have the skills to get a product out the door, especially if you find a way to step back or have someone ask you diligently "can we skip this", "can we not reinvent this", "is this overengineering?", "what's the one we should prioritise, and the one we should drop?'. Especially if you've been doing ML research and fiddling about - there is limited time for that.

The problems you might have are along the lines of when you get lots of customers. Scaling is horrible for tech, especially anything involving cloud quota requests or newer libraries. You will have the secondary issue of customer support, which at first you can deal with, but quickly can zap 50% of your productivity due to random requests. For CTOs, try and get a reliable dev on your team to take increasing support workload, or hire a dedicated support role.

The two problems you face as a succeeding CTO are quite different. So really do ask yourself how you would handle the customer support issues. The type of startup matters here. Is this urgent for every client, if it breaks? How would you feel if a ping came in at 10:40pm? If your great 5* rating drops to 4* because of bad support, who takes responsibility? Do you entrust your CEO to understand the importance of segmenting support duties from development to ensure your velocity can stay decent?

+ add on presentation and graph making skills if you are raising investment
Interesting. Did you try Jetbrains Rider as an IDE?
I don't see any varietal in there that I can't get from any other store that also doesn't have any scent.
Self-checkout machines now ask for tips in latest squeeze on customers
Actually, it was the senior author who posted it on his twitter: https://twitter.com/iddo/status/1669665897454227456?s=20
Like scroll direction, having a sim card in your phone, using accepted standard cables, giving users access to their own files, using standardized file formats, etc. These guys abuse their users and somehow they believe Apple cares about them. Not sure when everyone will wake up and realize that arbitrary change isn't better than expected behavior. I guess when the industry points "AI" at generating OSes then Apple will start questioning their decisions to stay viable in a sea of clones that actually "just work" as expected. Until then they'll just keep treating their users like crap.
Reddit impacted by Alphv ransomware group
Human eyes can absolutely detect the gaze of another human, as well as the existence of cameras.
On earth, the weatherproofing needed for solar cells by far outweighs the weight of the silicon itself.

In space, we generally don't allow use of anything that can't be tested on earth - that means the silicon has to be able to hold its own weight under gravity. Therefore, it is the mechanical supports that are the weight limiting factor.

One day, when solar cells are built, tested, and deployed all in space, we can probably get rid of these limitations and see 10x or more improvements in power to weight ratios.
or the people working the jobs need govermental handouts to basically survive.
Which actually means the business isn't competitive and can only exist by socializing it's losses.

If the goverment needs to provide food stamps for your employees so they don't get into financial trouble, and your bussines cannot or will not provide them with a living wage. The bussiness should simply cease to exist.
In a small business with low staff turnover - which amply describes any number of small city outlets - most of that stuff is ad-hocable. It's not efficient, but it's such a small part of the work involved that few cares are given.
> "I want environmental protection to be a part of everyday life, not just something that big companies and entities with lots of money and time do," said Suno Nishiyama, 35, founder of Komham.

Ok so you're going for feel-good rather than effectiveness. One optimizes by starting from the biggest contributors, not "every little bit counts" distractions.
Those things are useful, but not exactly constantly used for most people, and they don't require anywhere near the level of math people actually learn just to get by in everyday life.

Most people almost never do these things themselves, unless they like the process of planning things on paper without tech, or they do these things so often you'd be seriously slowed down without being able to them mentally.

Everyone should learn math, because it lets you do the things that need it, and because for a lot of people, the mathematical beauty seems to be the motivating factor to do those things in the first place, and those things tend to pay well and might save the planet.

The problem is when people act like we will be balancing checkbooks, picking stocks by hand, and adding fractions on paper every day.

People hear that and think it's useless because they are confident they won't be doing those things, because... I've never seen anyone use calculus in my entire life. I'm not sure I've seen algebra either.

I've heard about geometry, but mostly extremely basic things, or for things that would be easy to do in CAD.

Honestly I'd probably make a FreeCAD sketch instead of doing the math by hand if I was going to find the height of a tree with the Pythagorean theorem, being able to actually see it all would be an extra confirmation I did it right and the measurements were at least approximately good, and I'd have something to screenshot to prove the method works, to people who know even less math than me.

Fractions mostly show up when dealing with material that is sized in fractions, and half the time they're not really fractions, just nominal names for things, And you'll need to look up or measure the real size anyway.

It's not like people are hitting brick walls and thinking "Oh well, can't do this project, the math is too hard, shoulda stayed in school", it's more like people say "This doesn't pay well, maybe if learned math I'd have a totally different job and be doing totally different stuff I can't even imagine".

It's not like a hammer that you know exactly when you need it even if you don't have it.

Plus, scientists get things wrong sometimes, and there's tons of flaws in papers, so even just for pure understanding the world you need a lot more than math to actually be able to read a scientific paper or a political survey, and without all the other stuff the math looks less useful than it is.
Fair enough! I don't use it so wouldn't know.
Happy for this new one. The one you linked was/is maintained by someone with rather strong opinions that exclude things and may skew results.
In the Preface, the earlier inspiration for what's a "Bullshit Job":

> Everyone is familiar with those sort of jobs that don’t seem, to the outsider, to really do much of anything...

> This possibility that our society is riddled with useless jobs that no one wants to talk about did not seem inherently implausible.

> Clearly, then, we have an important social phenomenon that has received almost no systematic attention.

There's also a Chapter titled: "Why Do We as a Society Not Object to the Growth of Pointless Employment?"

It seems Graeber is making a much wider commentary, including society's perspective, which goes beyond the personal opinions of the people holding these jobs.
Also the film Conspiracy Theory - https://www.imdb.com/title/tt0118883/plotsummary/

> Jerry tells her that NASA is trying to kill the President using a secret weapon on the Space Shuttle that can trigger earthquakes.
> Not quite sure what you mean by normal.

I just mean .. average users. Where a text box has some very limited features that may be thought of as the baseline, the standard, etc. Not even sure what qualifies as that, but i imagine a lot of users expect to be able to highlight text and make it bold, italics, etc.

I love markdown and want to support it as the primary interface.. but i don't want to solely force it. I'd love a really, really thin layer of JS which just gives in-line highlighting for markdown, for example.

I might try to make it honestly, if i can't find it. But that's a long ways down the road.
No, it’s the exploitation by Reddit of free labor.
They weren't at Agincourt
It does not help that git really is checkpoints rather than deltas. The semantic difference is usually ignorable, but it can matter when you're trying to rewrite history. It's coming up with deltas on the fly, and if it gets confused it can get very very lost.

Every rebase really is at least three branches: what you're merging into, where you started, and where you are now. And God help you if somebody rewrote history on any of those.

The fact that all of these have terrible names makes it so much worse.
Isn’t the selection bias a bit strong, though? I don’t think social media is a reliable source of conclusions about the community as a whole, or even the people creating the content in the first place.
I've found you still can't rely on LLMs to do anything 100% correct without human oversight. Unless you spend a lot of time prompt engineering and testing. Even then you might not get as close to 100% as you'd like.

But as you say, they are still extremely helpful anyway.
Speaking to automated systems has made customer service calls such a shitty experience. With some businesses I don't have a choice, but I'm certainly not voluntarily putting up with it so I can get bottom tier food that's inflated its prices so much as to match some sit down restaurants.
> Even research from OpenAI has attempted to use GPT-4 as quasi-ground truth (as a replacement for human evaluators).

The way OpenAI used GPT-4 is fundamentally different than how GPT-4 was used to score the answers to the MIT exam. In OpenAI's case, they had GPT-4 generate an explanation of when a neuron in GPT-3 would fire. They then gave that explanation back to GPT-4 and had GPT-4 predict when the specific neuron in GPT-3 would fire. The scoring was done by computing the correlation between when GPT-4 predicted the neuron would fire and when it actually fired. The scoring was not done by GPT-4 as was done for the MIT exam

In addition OpenAI did have human evaluators score the explanations as well to make sure they were human interpretable[0]

[0] https://openaipublic.blob.core.windows.net/neuron-explainer/...
Gin Craze
> In Perl, everything serializes to JSON without fuss. It can be "lossy"; objects without an explicit JSON serialization method and coderefs can't be deserialized, but serializations at least have placeholders for them.

> Compare to Python's json module, which doesn't try very hard to serialize things and throws exceptions every time it runs across something new. It's very frustrating to use.

Sounds kinda backwards to me. I thought the fact that throwing exceptions (or "making a fuss," if you will) is better than silently producing incorrect (or "kinda lossy," if you will) results wasn't controversial anymore in 2023.
it's not about maximizing the window you're interested in, but ALSO "minimizing" (hiding) what you are not focused on at that moment.
Not training full attention might score nicely in benchmarks but humans will instantly notice the whole spectrum is not represented. What you are proposing is basically get rid of infrequent combinations but those happen in the real world and will be missing from whatever your LLM will produce.
git branchless is awesome, I use it every day at work to quickly move commits around or rebase on top of master
Even as someone who played it when it was a few years old, it’s challenging to replay today. Definitely deserves a refresh.
Tides of Torment, perhaps?
>Other commenters on this post have experienced that their deleted accounts have seemingly had their content and themselves be restored by Reddit.

>I'd pay attention to yours.

It says incorrect password and username when I try to log in and when I search for known text from previous comments.
I'm not proposing that an anarchist ought to dismantle the problem and then sit idly by until someone else to fills the niche. Of course we should strive to make things better, even if it means allowing little hierarchy here or there.

I'm just saying that when switch to this mode, we've put our anarchist hat away and are practicing something else. Whatever we are at those times, we're no longer the audience that Graeber is writing for.

Of course reality doesn't work like that. You don't have the "burn it down" phase, followed by the "build it better" phase. It's all jumbled up together. But I still think it's helpful to view these two perspectives as different personae.
I don’t care. Why? Because it’s largely a meaningless distinction that has nothing to do with the goal at hand. It’s like eMacs vs. vim or tabs vs. spaces.

Another way of thinking about interviewing is this: you say you don’t want to work with people who don’t care about this problem you care about. That’s fine, I guess. But if you changed your viewpoint to “I want to work with candidates who care about interesting things” then you might find you ask more about what they care about and less about what you care about.
Thank you for your comment. We are not trying to disrupt necessarily. We are offer a third choice. Until yesterday's launch you had two choices: For-sale-by-owner (FSBO) or some type of real estate agent. We believe either choice has numerous pain points or friction. Now PropBox is the alternate third choice. It is designed to eliminate all the pain points. It is accurate, fast, efficient, and cheap. PropBox is a Tech Advertising Company not a real estate company. We use technology , standardization, and simplicity built into our Service As A Software (SaaS)product. Many don't pay enough attention to their largest single investment so they will be the last to realize and adapt. In my opinion that will take years.
Perhaps they mean they, as a project, don't access Youtube API? But the user does?
I only gave it a quick skim but it seems to match what I have learned so far, but I'm also learning from things that people said online so there remains the possibility of common misconceptions.

The ALiBi stuff just makes sense to me. I don't understand why the Positional Sinusoidal Encoding was used initially. I assume there were good reasons for it but I haven't seen an explanation, (pointers to one appreciated).
Yes because that's not the main point of my comment. Disregard completely the part about autocomplete if you want.

I just added it as a separate point, to say "you can have autocomplete no matter the order in which you write your query"...
Awesome, more than a source than I found. I knew previous designs were MOESI, but a quick search didn't give any results wrt Zen. Thanks for the citation!
Better ask MULTIVAC.
I was trying to be nice.

Let me put it in terms that Gene Roddenberry would have explained. He emphasized it in his work. You might have heard about it. Star Trek. "The needs of the many, out way the needs of a few, or the one."

When you're more interested in the humanity, and dignity of those afflicted (the few) than those not afflicted (the many) then you're going to continue to generate more afflicted. You have to stop the problem at the source.

That means: Cutting off the drug supply. Enforcing laws. Everything you most likely despise. You only care about those that are on those streets.

You have to make it harder to become homeless, than it is to be a successful functioning member of society.

Jobs are not the problem. There are jobs everywhere. In one of my businesses, I needed truck drivers. I can't find them because hardly anyone can pass a drug test. I will pay for them to get their CDL, if they're drug free. It's not happening. I sponsored 3 people from India to drive trucks for me. They work 6 hour days, make $35 an hour, with route bonuses, and benefits.

I have a software company (or had), where we did DoD projects. It is next to impossible to find anyone that can pass a background check for a security clearance with the FBI. Why? Drugs.

I had another software company that was in the Casino Gaming space. It was difficult to get people licensed. Why? Drugs.

There is opportunity for everyone, bad decisions put you in the street. Then people like you and I have coddled these people, and give them enough to get by, so they don't want to return to being a functioning members of society. Anything else, they steal or commit another crime to get more drugs.

I have spoken to many of these people. Your presumption shows your character. I have donated more money to this problem than you will make in your life. Money is not fixing the issue. I have stopped supporting many alcoves. We keep creating more, and more that end up needing help. The majority of the problem revolves around drugs.

Drugs cause mental issues. This is a fact. People don't want to work. They want drugs.

So, I will not be returning to SF. I will not fund the business I was there to invest in. Keep going with your idealism. The universes own laws will eventually catch up with you, as history shows us every time.
Whatchu talkin' 'bout Willis? Neither the B-2, nor the F-22, nor the F-35 are black, they're all this bluish gray you mention, same as most non-stealth aircraft. The only stealth aircraft I can think of that was black was the F-117.
It makes it higher than the median wage he mentioned…