skysight-inc/HackerNews huggingface dataset:
The concepts are described in words, but you're not describing your thoughts to yourself. You have your own thoughts directly. The words are a side effect, to be called upon when you want to talk to someone else.

Saying that you think in words is saying that the computer from GalaxyQuest thinks in words because every time it does something, it reports what it has just done over the loudspeakers. You're confusing the effect with the cause.
The reason LLMs are novel in this regard are because they are a software model which can't interrupted, inspected, and understood during its execution. Any other software system running on your machine has a state which at any level of abstraction, from an HTML checkbox to a single LED pixel, can be understood and reasoned with. It is a system we can step through in a discrete and understandable way because it's a system we created.

My understanding is that we cannot do this with an LLM. There isn't a callstack which can be followed to trace why we returned 'foo' instead of 'bar', just the oft-mentioned matrix of floats corresponding to tokens. Perhaps not everyone sees it this way, but I think this separation, of a system which we can conceptualize to one we cannot, is a big deal.
Wow, there was a novel... that sounds pretty awful tbph.
I'm pretty sure. Biking culture is a big thing in west coast cities for sure, northern affluent cities also. There is also the perception of a lot of snobbery around it.
I tried to use langchain but found some bits broken/suboptimal and quickly found myself hacking around it. It certainly has useful concepts/patterns but you aren't using most of them and it's generally easier to just implement what you need for your specific problem - at least at this stage. Maybe once the ecosystem grows more the value proposition changes.
Coal Age is the magazine of the Coal industry.
A recent editorial gives a world wide view.

US exports are increasing because other countries understand the long term need for dispatchable base load.

Often overlooked in the "get rid of coal" narrative is that Coking Coal is required for the production of iron and steel.

"OUTLOOK FOR COAL REMAINS HEALTHY"

https://www.coalage.com/from-the-editor/outlook-for-coal-rem...
Eh, there’s a big difference between having known how to ride a bike when you were a kid and being willing to do it now.

Under 30% of adults ride bikes in a given year, and less then half of them even ride twice a month.

People don’t like bikes. They’re significantly more likely to injure you than a car (though more mildly, and probably a lot less likely to kill you if you’re riding somewhere designed for bikes and where there are no cars). They offer no protection from the elements. You have to wear a helmet and mess up your hair. Etc.

Adults just don’t want to bike everywhere when they could drive and billions in infrastructure won’t make that much different.
> Just wait until the legacy costs catch up with them.

How long do we have to wait for that? Going on 120 years here, still doing okay.
Intel's decision to use a 40-pin chip was mainly because Intel had a weird drive for small integrated circuits. The Texas Instruments TMS9900 (1976) used a 64-pin package for instance, as did the Motorola 68000 (1979).

For the longest time, Intel was fixated on 16-pin chips, which is why the Intel 4004 processor was crammed into a 16-pin package. The 8008 designers were lucky that they were allowed 18 pins. The Oral History of Federico Faggin [1] describes how 16-pin packages were a completely silly requirement, but the "God-given 16 pins" was like a religion at Intel. He hated this requirement because it was throwing away performance. When Intel was forced to 18 pins by the 1103 memory chip, it "was like the sky had dropped from heaven" and he had "never seen so many long faces at Intel."

[1] pages 55-56 of http://archive.computerhistory.org/resources/text/Oral_Histo...
It is worthy of note that until she was in a nursing home, at a claimed age of 110, "Jeanne Calment" avoided any publicity about her claimed age. For example she refused the local mayor's congratulations when she "turned 100" - instead newspapers wound up running a story about someone turning 95.

She literally waited nearly 50 years after the claimed switch, after she was in a new environment, with new people, without the people who would have most easily challenged it, to publicize her claim. This is exactly what we would expect from someone who was trying to hide a fraud.

Search for "Publicity (lack of)" in https://www.liebertpub.com/doi/10.1089/rej.2018.2167 for more details on that.
As much as we can trust it to summarize anything! It doesn't, like, know that it is the subject of the paper. And either way, it doesn't care if it lives or dies!
Nushell 0.78 supports pattern matching
That's just ChatGPT with extra steps
I am all for the AI debate, but it being the first time technologists that are already in their 50s or older and/or billionaires or with vast generational wealth is something I find monumentally suspicious.

- Big tech monopolizing the models, data, and hardware: that's going to happen because "we" already let them monopolize everything else

- Copyright concerns: like when streaming services started? oh ok only that now it's not only musicians but celebrity faces? yeah sorry about that.

- Job security: for whom? and of course cheap PCs, smartphones, search engines, social media, didn't move the job security floor for anyone? What about WFH?

- AIs becoming sentient and causing harm for their own ends: yeah I guess we only want humans to cause harm for their own ends then.

- Corporations intentionally using AI to cause harm for their own ends: because they are not already harmful enough without AI?

- Feedback loops will flood the internet with content of unknown provenance, which get included in the next model, etc: oh no! people will have to _verify_ if what they read on the Internet is real? What a travesty!!! we are doomed!!

- AI hallucinations resulting in widespread persistent errors that cause an epistemological crisis: have you met any academics? are you sure we don't already are dealing with this and AI is not going to make it worse in any possible metric?

- The training set is inherently biased; human knowledge and perspectives not represented in this set could be systematically wiped from public discourse: everything is biased, reality doesn't exist at 0. If you think AI with a different bias would be cool, just go try make it happen. If you get the government involved or start doing all this weird "6 months to think about it" stuff, that will only make private actors that don't abide by the rules have better AI than the rest.
My first comment in the thread proved that you can add protection from prompt injection. If you are unhappy that it isn't perfect protection that is fine, but it still helps.
ah my apologies, as a child of the 90s, the 486 was just what I had in my house then.
And it’s worth pointing out here that conventional hydro is being optimised in some places for a world with a lot of wind and solar in the grid.

In a nutshell, you put in more generators to maximise your peak generation capacity, and operate them only when required.
I had a job where I used an ADM 3a hooked up to a Sun 3. It worked, but I don’t miss it. A vt320 is a lot fancier.
You could just buy nuts, bolts, threaded rods and metal strips with holes. This might be too soft but you can cut it to any length: https://www.amazon.com/AOOF-Pocket-Carabiner-Screwdriver-Key...
> That's interesting, do you care to share any of your observations?

You nailed it with regard to Gen Z. I'd say off the top of my head:

- Silent Gen women either give zero fucks or have a vague desire to look "presentable". There's not much self body shaming, more grousing about how much work it is to pass 'basic' standards.

- Boomer women also usually want to look 'presentable' so most of the displeasure is what shape they have under clothes, dressing 'inappropriately' (no plunges for big breasts because it makes them look 'easy'), etc.

- Gen X are most likely to have an 'ideal' naked woman that they're comparing themselves to. They are also the harshest towards themselves verbally and most likely to make a comment about my looks passive-aggressively.

- Millennials are weird. They tend to feel the pressure of the monoculture but also know that it's not cool to care too much. They're the most likely to be very quiet or say nothing but do things like frown in the mirror or disappointingly pinch their fat. Millennials are also the most likely to view their body hatred as a personal failing: "Why can't I get over not liking how I look?" etc. They've internalized both the monoculture and the response so they think they should look a certain way but also that wanting to look a certain way is a sign of weak character.

- Gen Z don't buy into the monoculture at all but are, as you noticed, way more susceptible to empowerment/self-expression rhetoric. This is the only age group that seems to be able to dislike their body but not see it as objectively bad because the body diversity message has hit. This group is also the most laissez faire about body modification: this is the only group where the cis girls mention top surgery or reductions for aesthetics/body acceptance instead of just for medically necessary reasons. They're the inverse of Gen X in that their preferences vary a lot more, and a Zoomer is equally likely to consider themselves 'too fat' or 'too thin' or 'too curvy'. Gen Zers who don't like their bodies see it as more 'this isn't me' rather than 'I'm failing to live up to society's standards.'

These are all generalities, obviously.

> Using lookism to your advantage, if you can do it in a healthy way, is just being a realist.

True. It's also easier now because my type of attractiveness is one that's associated with personality traits I do not have. I'm small and curvy with large eyes and Shirley Temple blonde curls, so playing it up when I was younger meant being treated like a moron and I've never been able to stand that. If you're into Kibbe, I'm somewhere between a romantic and gamine which are not looks that people take seriously even if they like them. Plus since I like women I opted out because the more effort I put in, the less other women liked me. Other women respond better when I'm a bit frumpy.

> women who pick non-functional clothes are not irrational, imo, they just work with different input, so to speak.

This point reminds me of this [0] article discussing that same idea from a class + race lens.

0: https://zora.medium.com/the-poor-cant-afford-not-to-wear-nic...
Clearly the work of Jupiter. In all seriousness, this is the kind of thing that I imagine would have have been seen by the ancient Italians/Romans as the work of Jupiter or another one of the gods.
Why would you need a touch screen? An 8-segment display with 2 clicker buttons for looping through history, and a little bit of memory (like in a calculator) would be enough.
Virgin Orbit COO calls out company leadership for failures in goodbye memo
Yes they do:

https://en.wikipedia.org/wiki/Davis%E2%80%93Besse_Nuclear_Po...
Oh, absolutely not! ioutil.ReadFile and you're done!
I do this but for my feet. They’re always wrapped up nice and toasty under my desk because I have poor circulation in my hands and feet. It’s very nice ( ͡° ͜ʖ ͡°)
Spotting and Avoiding Heap Fragmentation in Rust Applications
Engineer who implements correct, comprehensible code but doesn't manage ticket statuses is more valuable than one who manages ticket statuses but scatters the codebase with technical debt and confusing abstractions/code. If "better communication" means spending an extra 10 hours with the latter dev to correct/re-teach them, then yes, communication is the problem. The most time I've lost at work is correcting/teaching engineers who eventually got let go due to low performance.
Yeah, well, you know, that's just like, your opinion, man.
Thank you! I appreciate the level of depth and information you've provided!
Any trike can be elctrified and winter fairings are available. Go for it!
https://www.utahtrikes.com/PROD-11615952.html
If things don't go as I expect I would gladly switch career, opening a food shack somewhere for example sounds nice.
There are some decent greasemonkey (or whatever monkey you prefer) scripts out there to hide them. Totally worth it IMO.

https://news.ycombinator.com/item?id=35274050

Here's one featured here on HN.
"Rome" has been the go-to comparison to "bad thing happened in this place, and therefore bad things will happen here" for centuries. It's usually as ignorant about Roman history as it is about current events.

It's always seeing a point and drawing a curve. It's absurd to think that you could make any predictions based on a single point of comparison -- even if that comparison was actually well-informed, which it rarely is.

So I wouldn't even go looking for that article comparing the US to Rome. If you're interested in sociology, you'd want to compare it to many nations over many centuries, and seeing what actual patterns form. Anything less than that is just going to be exhibiting somebody's bias about what they thing the bad things are, and cherry-picking an illustration.
Yes, visitors can make UPI payments now. See recent news:

https://economictimes.indiatimes.com/nri/invest/in-bound-tra...
archive.org seems to side with the story telling of the Founder's counter-claim?
January 2021 https://web.archive.org/web/20210128191225/https://withfrank... "We've helped over 350,000 people access financial aid resources" and https://web.archive.org/web/20210222193947/https://withfrank... February "4.25 Million students trust Frank." ... at any rate can't say the due diligence team did a brilliant job there... I mean they didn't bother to look at archive.org?
I can definitely see it being good for assisted learning. Quickly groking codebases seems to be one of the most popular uses.
It was the 186 which added those. Wasn't widely used in PCs because it included some built-in peripherals that weren't compatible with the "standard" ones used by IBM in their original PC.

And that standard PC's DMA controller was originally intended for use with the 8-bit 8080 (eighty-eighty, not eighty-eight) processor. It was slow and only supported 16 bit addresses. IBM added a latch that would store the high address bits, but they weren't incremented when the lower bits wrapped around. So buffers had to be allocated in a way that they didn't cross those boundaries, and the BIOS disk functions would return an error if your code didn't do this properly.
I think a docs plugin would be pretty sweet. Would install. It's probably not the kind of thing you can start a company around, though. More like a side project.
Scroll down to "This journalist wrote a story, and you won’t believe what happened next"
JitHub – An Open Source UWP Client for GitHub
Hi

I've been working on JitHub for the last two years, and JitHub has been out there since V1 for more than a year now. I'm so happy to announce that JitHub has become open source today! Along with the open sourcing, it also got a major new version release adding VS Code integration and a fully native, custom built markdown viewer, Markdig.UWP.

Please check it out in the repo. In there you can also find the link to the app in the Microsoft Store. Since the project is now open source, contribution is also welcome.
> I think the better question is why people go still along with it and keep using Windows

A lot of non-open source desktop software available only for Windows and MacOS. While I dislike MacOS less than Windows 10 or especially 11, MacBook is more expensive than Windows notebook or mini-PC.
This. Should be a browser plugin for maximum deployment impact.
As a rule of thumb, I like to define my definitions first. /s
I live in a place where it snowed four inches last night. I live 10 miles away from my workplace. You can keep your bike.
Show HN: Want something better than k-means? Try BanditPAM
Want something better than k-means? I'm happy to announce our SOTA k-medoids algorithm from NeurIPS 2020, BanditPAM, is now publicly available! `pip install banditpam` or `install.packages("banditpam")` and you're good to go!

k-means is one of the most widely-used algorithms to cluster data. However, it has several limitations: a) it requires the use of L2 distance for efficient clustering, which also b) restricts the data you're clustering to be vectors, and c) doesn't require the means to be datapoints in the dataset.

Unlike in k-means, the k-medoids problem requires cluster centers to be actual datapoints, which permits greater interpretability of your cluster centers. k-medoids also works better with arbitrary distance metrics, so your clustering can be more robust to outliers if you're using metrics like L1. Despite these advantages, most people don't use k-medoids because prior algorithms were too slow.

In our NeurIPS 2020 paper, BanditPAM, we sped up the best known algorithm from O(n^2) to O(nlogn) by using techniques from multi-armed bandits. We were inspired by prior research that demonstrated many algorithms can be sped up by sampling the data intelligently, instead of performing exhaustive computations.

We've released our implementation, which is pip- and CRAN-installable. It's written in C++ for speed, but callable from Python and R. It also supports parallelization and intelligent caching at no extra complexity to end users. Its interface also matches the sklearn.cluster.KMeans interface, so minimal changes are necessary to existing code.

PyPI: https://pypi.org/project/banditpam

CRAN: https://cran.r-project.org/web/packages/banditpam/index.html

Repo: https://github.com/motiwari/BanditPAM

Paper: https://arxiv.org/abs/2006.06856

If you find our work valuable, please consider starring the repo or citing our work. These help us continue development on this project.

I'm Mo Tiwari (motiwari.com), a PhD student in Computer Science at Stanford University. A special thanks to my collaborators on this project, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, and Ilan Shomorony, as well as the author of the R package, Balasubramanian Narasimhan.

(This is my first time posting on HN; I've read the FAQ before posting, but please let me know if I broke any rules)
There are some in the Paris area; I haven't ever used them though. I don't even know how you'd get access to one.
Yeah no, I am not putting my kid on e-bike, or any bike for that matter.
Yes, but think of the savings!
> Bike riders forget that a large percentage of the population can't safely operate a bicycle in all weather conditions.

1. What percentage?

2. I feel like we don't need to worry about that until bike use is on track to well over 50%.
It's all fun and games until you single-step into something like strchr: https://sourceware.org/git/?p=glibc.git;a=blob;f=sysdeps/x86...

(And that's the source: remember the disassembly will lack comments and macros.)
>I assume, you do not expect that NATO membership would put Finland into a direct hot confrontation with Russia, thus turning into a kind of a self-fulfilling prophecy?

Moldova, invaded (1990) and occupied. Georgia, invaded (2008) and occupied. Ukraine, invaded (2014, 2022) and occupied.

Finland, Estonia, Lithuania, Latvia, Poland: Not invaded, not occupied.
The only danger i see in AI is humasns becoming complacent and losing its ability to solve problems by themselves, similar as people googling “how to replace flat tire”.
Yeah, the dorkiness can be a bit too much sometimes. One time he made a dorky joke, and then made a meta-joke addressing how dorky that joke was, and it was extra cringe...
Until one day a new LLM gets released, GPT5, that doesn't recognize any of those special words. Mastering prompt-speak is essentially mastering undefined behaviors of C compilers.
FYI: the signup link on your home page leads to the about page instead.
I think they're so intense they generate weak gamma ray bursts:

https://www.nasa.gov/vision/universe/solarsystem/rhessi_tgf....

> "TGFs [terrestrial gamma-ray flashes] have been associated with lightning strikes and may be related to red sprites and blue jets, side effects of thunderstorms that occur in the upper atmosphere and are typically only visible with high-altitude aircraft and satellites. The exact relationship between all these events is still unclear, though."
I know that lots of people would discount this, but it's interesting to note that Jewish tradition holds that the maximum lifespan for a person is 120 years.

And Calment is the only person that might have exceeded this. To me that's another bit of evidence toward the impersonation theory.
On the first hand, all communication is purely syntactic

All formal communication is syntactic, but not all communication is formal, and not all experiences are acquired via communication.

Take the word “pizza”. If you’ve ever seen, smelled, touched, or tasted pizza, then you’ve acquired semantic information about pizza that could not possibly be acquired by syntax alone.

Same goes for informal communication such as eye contact, touch, hugs, kisses, handshakes, sex, etc. These are experiences people share that cannot be acquired through any other means.

Why does this matter for the AI debate? Suppose I ask a master pizza chef for tips to improve my pizza recipe. This chef has presumably many years of pizza-making and tasting experience. The chef can make recommendations to improve the flavour of the pizzas I make at home that are informed by semantic contents; actual knowledge of what effect the ingredients and methods have on the taste.

An AI can do none of that. It can only take the written words (syntactic inputs) of many pizza chefs and synthesize a model for pizza recipes. From that it can send me a bunch of words which, when followed, may or may not improve my pizza recipe.

It has no knowledge whatsoever, not least of which is experience of making and eating pizza. It cannot tell a good recipe from a bad one, unless its training set was specifically labeled to do that. Furthermore, models in general are highly vulnerable to adversarial inputs which would make it trivial for someone to construct a bad pizza recipe that gets misclassified as a good one.

Lastly, the model would be no help at all if I were to suggest a novel topping to add to the pizza. Whereas the pizza chef, if they had the experience of tasting that topping separately from pizza, would be able to imagine how it might taste on a pizza and make an informed recommendation. Furthermore, the pizza chef might even try that novel topping on a pizza and get back to me, something a language model could never do.
AIUI, the fundraising was for the pedestal, not the statue itself.
"To be fair" these facts are 100% irrelevant to whether my computer should do wtf I tell it to do.

You tell your car to drive to a cafe and it tells you that caffiene is bad for you and you should go to McDonald's instead. I give zero shits about whether it's true or not, it's nobody's goddamn business where I want to drive.