skysight-inc/HackerNews huggingface dataset:
This is similar to my take, only I never ever want to work with Ruby, since it just rubs me the wrong way. This is a throwaway comment unless you care about the following question.

What is the the fundamental difference between Ruby and Lisp enthusiasts? The easy answer is OOP vs FP, but as soon as you dive into the details the distinction becomes more difficult. A thread [vs] between Alan Kay and Rich Hickey is perhaps informative, but not illustrative.

I know that I lean towards lisp, but I cannot articulate why lisp usage fits my mental model more readily than smalltalk/ruby does. Is the gulf between Lisp- and Smalltalk-inspired languages that meaningful?

[vs] https://news.ycombinator.com/item?id=11945722
I often use the same if len() construct.

It will fail for non-list inputs, which is another reason it can be handy if you want clarify that you’re enforcing a list.

len will work for strings, tuples, dicts, sets, plus all kinds of custom classes that implement the __len__ magic method.
Hey, the company I work for is hiring engineers for a Ruby On Rails app. My info is in my bio.
Regarding climate change, please read how the number was calculated https://www.forbes.com/sites/uhenergy/2016/12/14/fact-checki...

Scientists agree that there's man-made climate change. There's no nuance of what the implications will be (e.g. rising sea levels, failing crops, mass migration), or what the solution should be (e.g. carbon tax).

It feels insanely difficult to say "climate change is real, but it's not something we should [overly] worry about; humans are getting better at combating natural disasters, our food yields are getting better, and the best we can do for the 3rd world is [for them] to continue to use gas [for the time being]"
>I haven’t changed my tune on this particular question since 1992

Well DL certainly hasn't been against a wall since '92.

Pulls out phone with highly accurate voice to text, predictive keyboard, sensor activity detection, auto-categorization/labeling of photos, facial recognition, learned speech synthesis etc etc (thats just a few just in the consumer space... with no mention of government/commercial/scientific applications)

They had all that in 92?
Awesome, thanks for the documentary recommendation!
More public transit routes, and additionally a network of computer optimized special routes for popular events, plus HEPA filters and plastic dividers to get to a near-zero virus transmission level. Active noise cancellation, air conditioning all the time in summer. Make bussing better and maybe people will use it.

I would probably cause a crash in days if I tried to ride any of them, but I doubt I'd give up a car if I could. Being able to drive seems so absolutely wonderful.

Or bring back the segway in a form that can go on the bus and be locked at bike lockers.

I'd probably want one of those ultralight chinese electrics or something, but I definitely wouldn't want to ride a terrifying extreme sports device and pretend it's normal transportation.
lol You're on a website catering to people who dislike having others prove them wrong and will stretch "technically correct" as far as possible, in the face of all else. If computers didn't exist, they'd be lawyers. If lawyers didn't exist, they'd be clergy.
I wonder if it was unintentional and some stupid caching setup returning dirty caches (and then more likely returning USA Today because that’s the most likely to have caused the first cache hit).
GPT is just a language model. It fills in the blank with a probable continuation. It's kind of amazing how much context the more recent transformer models can retain. There's definitely something intelligent about it, in the sense that it can parse text and generate consistent sentences that account for context effectively. But, it's not an agent. It doesn't have an objective it's trying to accomplish. The fact that you can kind of chat with it is just a side-effect.

In order to prevent GPT from suggesting to people that they should off themselves, it would need to understand that this is inappropriate. Seeing how good recent GPT models are, I think it wouldn't be impossible to train it specifically to understand what could be perceived as unkind, and it might actually do pretty well, you might be surprised, but adding that extra criteria would still fall quite a bit short of having something that behaves like a person with a personality that remains consistent over time and a set of objectives it's trying to accomplish.
I've enjoyed your discussion of AI quite a bit over the years, especially your comments on the senselessness of GPT-3.

That said, it seems to me that "possibly hitting diminishing returns" would be a better phrasing of the situation. Google's Alpha Fold is considered a serious advance in the field of protein folding. Deep learning has aided astronomers find a variety of things. etc.
> I'm working together with another junior developer

> I decided to put egos aside and ask him for help and the only thing I got was generic advice, which I already do (read the docs, understand what you read, try building their tutorials/getting started section, read more code, trial and error).

Useless advice from a useless junior. Ask someone more senior to help. You'll have better results.
They could do the same thing by circulating a positive rumor for the company.

I don't see how buybacks can help in the long term a company that is not issuing dividends.

They are burning real money to buy a potentially higher valuation that can evaporate in an instant (think of Meta)
Yep. I had this exact experience a couple of weeks ago. Infuriating.
Alder lake is more power efficient in all but the highest end chips.

In fact, even the extremely power hungry 12900K is actually fairly efficient in gaming workloads.
NIST Measures Trees’ Effect on 5G Connectivity
Isn't this effectively same as dedicated .onion address?
Toll signs on 101 report your transponder setting
The fallacy here is attributing to a technique something that is just a property of a domain. The hallmark of intelligence is that it generalizes. Good results in one domain tell you something about the domain, but absolutely nothing about AI.

But this is a classic fallacy that has gotten some very smart people in the past, e.g. https://www.aaai.org/Library/AAAI/1983/aaai83-059.php
I used to be on-call during one of my first jobs. We would get called all the time, and a lot of time these were simple issues like reboot or restart a process. But it cut into our personal time. And we didn't get any compensation for it.

Team wanted to do root cause analysis and fix problems for good but there was always some new very important feature to build. So we never fixed these issues.

The way our on-call escalation worked was something like this: First, on-call gets the call. If the issue is not resolved in 15 minutes, then it is escalated to teamlead. After another 15 or 30 minutes, it is escalated to manager and then entire team. After an hour it is escalated to manager's manager. Other teams/SMEs had to join on-call bridge. Then director, VPs etc. And supposedly if it takes long enough it would escalate all the way to CEO.

I used to feel really guilty if it escalated past my teamlead. And if my manager joined the bridge, she would really scare us about further escalation and make us take all kind of shortcuts like hard reboot servers. She never cared for us to find root cause.

But every once in a while issues will get escalated past her to her boss. And then those issues would become top priority to fix for good.

Soon entire team/department learned this. So we stopped fixing issues as soon as possible. We would pretend like server is stuck, internet connection issues, etc. Wait for call to escalate as high as possible. Some of the teammates would even join online games while supposedly troubleshooting.

Eventually stabilizing our code and environment became top priority instead adding new features. We spent a few months squashing all kind of bugs, added processes like code reviews, unit tests, etc. And after those few months of hard work, our off-hours calls dropped by 90%.

And this is when I learned leadership won't care about our life if they are not impacted by their policies.

Now at my current company I do have on-call but I don't change anything for it. If I am out having dinner with my wife, and I get a work call, I acknowledge it but let my manager know that I will look at the issue in couple of hours. They can get someone else to look at it or wait a few hours. (Also by fighting for quality, we rarely ever get calls after work and management understand why I would spend time with my family during on-call week.)
It's even more useful for complex expressions e.g.

f'{f(x, y)=}' -> 'f(x, y)=5'
Just finished reading the article, interesting points.

I agree that there’s too much emphasis on the “robot”, but coming from an academic background in mathematics and psychology (and biology), I cannot take PDP as anything other than “this is how brains work”. Granted, half of PDP, the book, is a series of examples of “ways it might work” from 40 years ago or so, but the other half is about fundamentally tying the psychology to the brain through parallel distributed processing as a conceptual framework.

In that sense, I don’t think PDP can be refuted any more than token economies or political polling can be refuted.

Thoughts?

In the meantime, I will bookmark your thesis for perusal.
Is? Has been
And people wonder why ioshit devices are all so cloud dependent. I just want my microwave to talk to my refrigerator (or whatever). But they have to use https, because. And the cert has to expire every 90 days, because. So now I provision a kitchen full of stuff with AWS creds so they can respond to DNS challenges to get those certs.

So much simpler for everything to revert to client only mode and route all messages through a server 3000 miles away. Until they pull the plug and nothing works at all.
It also has to be US built and US staffed, which brings up the cost a lot.
So many projects seem to explain themselves by throwing “modern” in there somewhere.
>$1000 wide screen curved monitors.

You can pay well more than $1k for a curved wide screen, but as a counterpoint Dell 34" widescreen curved monitors are less than half that on their website. Most likely because you're not getting gaming features, HDR, speakers, etc, etc. They're pretty stripped. Even so I purchased one for every employee and myself on my old team, the experience was so good we all bought them at Microcenter for home use too, and still they weren't $1,000.

I'm just pointing this out in case anyone is thinking about getting a curved widescreen. The experience is amazing and it doesn't have to cost $1k.

Not that I'm disputing managers make status purchases and spend stupid money on useless things. That much is as true as it ever was.
The complexity / change cost: Since this would be a JS language addition, this would add complexity and churn to the JS language syntax. (There is no separate runtime / compile time in the JS model as implemented by JS browsers and tooling - except when run through JS-to-JS compilers).

The benefit: Sown by TS users or possibly some kind of of TS-lite using this subset of TS features.

Not benefiting: non-TS languages targeting the browser, like Elm, ClojureScript, ReScript, PureScript, Haxe, Nim, Kind, and <the next big language here>.
I could be completely off base here. But from what I have read, H610 does not allow setting any memory timings or speed outside of the JEDEC profiles, XMP is not JEDEC so it doesn't count.

On some 3200MHz GSkill RAM I have in a desktop in front of me, that means on this kit a H610 would only run 1067MHz @ 15-15-15-36-50. Instead of the XMP profile I run now which is 1600MHz @ 16-18-18-38-56.
Pausing Google Play's billing system for users in Russia
I’m building a product that tries to make this easy at https://pibox.io - but “secure” is a vague and tall goal post - although we cover things like service updates, firewalls, and abuse monitoring. Planning on a proper HN launch post soon!
I don't think people should be rewarded for having broken the law in the past.
all of these small features seem good in aggregate but each one makes it that much harder to ever build a competing browser, especially from scratch.
Can you provide examples?
I've never managed to make money from scripting and short of going into freelancing I don't see how I would even start.
We are a very long way from even having 0.0001% of the compute required to produce a weak AGI.

like everything, it will take much more resources and time than we can predict today with our best estimates, partly because that's just how these things turn out, and mostly because a true AGI will likely require billions of neural networks all adapting and swapping neurons and communications pathways amongst themselves and training themselves at the same time they are doing useful work.

we have no idea how to do anything like this at scale, yet.
There's some teflon-like substance marketed as ceramic. I doubt it lasts more than a year, despite all the marketing claims saying it is indestructible.

I accidentally bought one on Amazon once, thinking it was a ceramic coated cast iron pan. Back it went.

I guess it's not false advertising if hundreds of fly by night companies all co-opt the name of the same superior technology.
I don’t have problems with them drying up. But they are not archive safe and apparently will fade out in time - my Japanese friends warn me that in time I am going to lose my notes.
Get an allergy screening. They can test for nickel sensitivity.
Is it not enough to do just as you said - putting the app in your portfolio (e.g. personal website) such that future prospects can see the work you've done there? Or do you feel that isn't sufficient 'proof' that you worked on it?
Many things in rubygems are unmaintained, prototypes or really incomplete.
I doubted for a second but it seems that H610 does support XMP but only up to CPU max speed (3200Mhz for Alder Lake) which means that it should work as intended.

https://linustechtips.com/topic/1411005-memory-speed-on-alde... (Linus Tech Tips, but it was the first link that came out when googling).
No one knows. We need to do more basic research to figure that out.

My guess is that it will take large scale quantum computing. But that's just speculation, I don't have any proof.
To expand on your point here: there are generally two inroads into computer science from other disciplines. You can view it is an extension of electrical engineering and the actual development of computing hardware, or you can view it as a development of an "applied math" curriculum.

From that viewpoint, the article here is mostly complaining that Turing has had little impact on the development of computer science if you only look at it from the first perspective. Except the ACM in particular generally hews more towards the second perspective--of the ~50 Turing Awards, at best a dozen of them aren't heavily rooted in a view from the second perspective.

In other words, this amounts to a complaint that the organization that honors the people who make contributions to the math-y side of computer science names its award for doing so after the one of the most important math-y contributors of computer science as opposed to one of the people who actually built contributors.
Watch this movie if you want to study Russian propaganda.
No, it is strong evidence. In fact, there is no stronger evidence possible, short of the US coming out and saying, yes, we are training them to put our tendrils into their state.

Oh wait, they did : https://en.m.wikipedia.org/wiki/Western_Hemisphere_Institute...:

"Despite Carter's worries about the school's training materials, he believed that the international military education and training provided by the School of the Americas, among other institutions, was critical to furthering "the national interests of the United States".[24] He considered the training conducted in Panama to be essential because it enhanced American "access to the politically influential leadership" of the Panamanian National Guard and instilled in its personnel "attitudes favorable to the United States".[24] Further, he believed the training served to "increase respect for United States foreign policy goals and the United States concept of military-civilian relationships at the national level".[24]"

It's a simple fact that the US provided training in order to exert power over Latin American fact, by admission. The real conspiracy theory is that for some reason, despite the same effects, operations in Africa don't have the same intent.
That would be my guess too. Someone set up OpenRTB in a development environment where caching was disabled or only one page was getting requests, so the inappropriate caching wasn't detected -- and, because the cached page data would have the same overall distribution as real requests, it would have taken a while for someone to notice the page data was wrong.
It doesn't scale in the "I want twice as many, right now, to use, abuse, and discard without guilt or strings attached".

9 women do not a baby in 1 month make. Once you have said bab(y|ies), you then have the inconvenience of them having a will of their own, you have to support and eventually pay them, and dear god, make too many of them and they might even just throw you away instead of going in the direction you want.

That kind of not scaling.

I mean... If no one else is willing to say it, I'll call a spade a spade; because that is precisely the major draw of the computer as ecpnomic/logistical lubricant. Doing jobs of people, but not getting paid or having to be accounted for as one.
This is the kind of post I love to find in HN: an interesting topic and code. Does anyone know what is the theme of the blog? I am interested in how the references are created. I suppose it is based on something like RST.
Not passivated, but it does mention seasoning. The same thing?

quotes:

>A chromium oxide protection layer is consistent with our findings, NIST160b has the highest Cr content and Ni content, but does not have the highest nickel leaching, suggesting that Cr alone or with potentially other constituents reduces Ni leaching.

> As discussed above the formation of protective oxides, like chromium oxide, likely contributed to the reduction in Ni and Cr leaching with seasoning.
Doesn't the request for the header bid include the Referer HTTP header? Wouldn't this be easy to detect?
Pockit: A tiny, powerful, modular computer (2022 demo)
Feels like it's polynomial interpolation
It simply needs to keep the host alive during its incubation period. Whatever happens afterwards doesn't really matter e.g. by the time HIV shows symptoms (AIDS), it's too late for the host and it probably has already infected others.
I like Gary Marcus as a personality and I look out for his work. Recently he's been doing this thing where he lists examples of deep learning failures (which are trivially easy to find) and then proposing symbolic / causal learning as an alternative. This can be somewhat repetitive, but it can also illustrate some important ideas about and limitations of the current paradigm.

I think that the best way to communicate the message that deep learning isn't enough is to use a different approach to achieve superior results. Ideally something that makes a lot of money quickly. There are only so many people that read nautil.us articles. But everyone pays attention to things that make a lot of money.

I can point out many conceptual flaws in the internal combustion engine. And I can also propose other types of engines as alternatives. But people don't really start paying attention until someone makes a Tesla. If symbol manipulation can do a better job of identifying pictures of rabbits or humans holding stop signs, then let's see it.
It's funny that there seems to be no mention of hereditary hemochromatosis.
It was popular in drug labs, so they replaced the consumer stuff with something that violently explodes if used for chemistry.

Of course, people that were using it to, you know, cook food, or in research labs ended up in some pretty dangerous situations too.

Many underfunded grad students were maimed. (Really.)
The FDA would beg to differ: https://medicalfuturist.com/fda-approved-ai-based-algorithms...

Without the snark: There has been real progress made on devices that integrate machine learning and have passed the bar of FDA approval. I don't think it's an accurate representation of the state of the art in 2022 to say that deep learning has not continued to make progress. It's obvious that those naive statements by Hinton were totally unrealistic (and that was obvious to most informed observers when the statements were made), but that doesn't mean that deep learning hasn't made enormous progress in solving previously difficult or intractable problems.
Philippines to proceed with deal to buy Russian helicopters
I think TSMC has built a sold production line/process to make high end chips but all the equipment still comes from EU, Japan, America. Samsung in theory can makeup the shortfall over a few years. We would be in more trouble if ASML drowns in a Tsunami.
Also Konrad Zuse, frequently ignored in the anglosphere. He is one of ~two people with a credible claim to building the first freely programmable (Turing-complete) computer. His first few computers were mechanical, later models electrical.
Unfortunately, some blogs I've seen only expose the last n posts through RSS. In that case, the retaining behavior is very useful. However, there could be some middle ground with a 'reset' hint.
Another good discussion on iron's link to a surprisingly wide array of diseases is here:

https://nautil.us/iron-is-the-new-cholesterol-7861/
I'm guessing Gipfeli
Good. Applied machine learning is a cult of ignorance.

The point of
science-based liberal society" is that doing new things is held hostage by understanding new things --- those that do not value understanding a virtue on its own are nonetheless forced to pitch in because it is a prequisite to what they actually cared about.

Applied machine learning is a hack around that. A loophole. It's not healthy, and I hope it fails.

------

Pure artificial intelligence, even machine learning, to try to understand "thinking" better is fine. I got no beef with that. (Though I did think sci fi in the Asimov tradition propped it up to high.)
He also lost a civil case, where the plaintiff was award 3.4 million in restitution, in which he paid $0 into.

https://www.washingtonpost.com/dc-md-va/2022/01/13/pig-heart...
> you are holding it wrong.

For those whooshed by the reference, it's about the iPhone's antenna design flaw that Jobs poopooed on stage, to silently get it fixed on the next version.

It seems we're agreeing it's an actual issue that would merit to be fixed.
$0.24 > $0.00, though. And:

> something that can take months for a credit card merchant

OK, instant closing is desirable for sellers - but why would a consumer care?
Preventative medicine is well understood and widely available. People just aren't interested or unresponsive to treatment.