skysight-inc/HackerNews huggingface dataset:
Colony Networks Inc| Senior Full Stack Software Engineer (Canada Only, Hybrid or Remote)| Full-Time|

Who you are?
A highly competent software engineer with modern stack competencies excited to work with a dynamic team in a fast paced environment, solving real world problems that directly impact our Users. Eager to learn and grow as an engineer while being productive. You've proven yourself as a valued contributor to agile teams and are looking forward to taking the lead on smaller projects.

Skills and Capabilities - Excellent Python skills - Experience building scalable APIs - Kubernetes/Docker - Git and GitHub - PostgreSQL - Comfortable with CI/CD ecosystems - Familiar with Pubsub(Google, Kafka, Pulsar etc), caching (Redis etc)

Preferred Qualifications - Data Pipelines, Elasticsearch, Data Orchestration, ingestion and reporting, ML Enthusiastic and AI in the network space, enjoy Hackathons

Apply here: https://apply.workable.com/colony-networks/j/A0A6C0FA50/

About Colony Networks:

Colony provides business networking services to major telecom carriers like Telus, Cogeco and Rogers. We've been referred to as the "Business" behind Business Internet... and it's true. Unlike residential broadband or a personal mobile plan, Business Internet services are provided to both Small-to-Medium and Enterprise customers with advanced features like proactive device/circuit monitoring, corporate/guest wi-fi portals, remote network access control, and others. That's what we do today.
It can be argued that there's an RNN-like process in the decoder stage but it's re-run every time based on a new context so it's not really "keeping up" in the same way as the human is.
You forgot about climate change, rampant shootings, the rerise of fascism and white supremacy, the refugee crisis, the pandemic, etc.
An interpreter still models execution at a nested level of abstraction — data remains distinguishable from code.
I've spent a few months in Switzerland in 2020 and all I've seen were PET and non-PET bins for plastics.

But the rest of the world has that already in the form of public bins for plastic bottle caps, as these are made from PET.

In any case fines or no fines I doubt this is enough if a single piece of trash can ruin a whole batch.

I can assure you that I for one have thrown trash in the wrong bin at least twice - or maybe more because I still don't know the details of recycling in that country.
Finance isn't zero sum, trades can be mutually beneficial and efficiently allocating capital is an important problem (that the NIH utterly fails at incidentally). There are a ton of shady finance people because that's where the money is, sure. But it is not inherently zero sum!

If you moved money from a sinkhole garbage establishment project to some other promising scientific endeavors, that would almost certainly be a net positive for the world even if the total spend is the same and you "just pushed money around". A similar principle applies when considering many industry investment decisions.

Regardless, "finance" is broad as hell and there are a huge number of potentially well-paying careers that are not finance nor ad-tech. Not to mention that a FIRE research scientist who is less beholden to the current system might very well contribute more scientific progress over their lifetime than the latest career academic.
Why are they exhausting? While you seem well versed in the subject, this was quite enlightening to me, as a non expert.
However besides recommendations Google is removing content and some of this removal appears politically motivated or perhaps government agencies are asking for its removal. This aspect is very bad.
Move fast and break things.
Ok.Computer.
Construct validity!

I suppose, when GPT-4 writes correctly working code that does what you want on the first try, this says absolutely nothing about its cognitive capacity, because, after all, it's just a proxy measurement for the underlying generative process. (Yes, obviously the cognition is _different_ from what happens in humans. That does not mean that... it isn't intelligence?)
Except a lot of the time, the job market is a lot more complicated than that and years of study don't always correlate well with eventual earnings. I have a pretty basic bachelor's degree in computer science and I have never once struggled to find reasonably high-paying work wherever I am. I have a friend with two bachelors' and a master's who has studied far more and far harder than me, and she has struggled to find work anywhere in the country, and when she has, it's been far lower paid. My brother has studied at least as long and as hard as I have, and is as much an expert in his field as I am in mine, but because he got a vocational qualification in a less well-respected profession, he works twice as many hours as I do for half as much pay.

So while I broadly agree that there will always be some necessary income disparity, I think it's disingenuous to use such simple examples and present this as a "work hard; get paid more" situation. In practice, income equality has more to do with whether the skills you have are socially valued or not.
Important reason to never use mobile carrier internet without a VPN. Otherwise they can see all your hostnames via SNI, and the services all get your carrier IP for linking.
Yeah, that's a bandpass filter, essentially. But I did it the lazy way: audio signal -> FFT -> zero out unwanted frequencies -> inverse FFT.
And that would be great.
It's well known prompt engineering technique to ask LLMs to articulate each step.

One way to think about it is that LLM's output is pure function on input. You need to chain them to arrive at final answer. Each step can't escape its comprehension capability. One step's output appends to next step's input so you can ask it to do it itself.
The point is that you trust those people. You can't trust a black-box model, but you can trust a result if the explanation that is provided actually explains it. That is, if the explanation has factors X, Y, and Z, then every time those hold the result should be the same.

Otherwise, you are just trusting the training set and the training process. Sometimes that's fine, as the article also mentions.
Okay. One more question, does the candidate knows that they are selected or not after all interviews conducted or they will know after each round that they are moving to the next round or not?
I've found a very short prompt that displays this problem[1]:

Human: 10-word quote
ChatGPT: "In three words I can sum up everything I've learned: 'Keep moving forward.'"

Human: 10-word quote
ChatGPT: "The journey is the reward." - Chinese Proverb

Human: 10-word quote
ChatGPT: "Believe you can and you're halfway there." - Theodore Roosevelt.

It's something a human would also struggle with (without internet access), but I don't think I'd ever give a 5-word quote by mistake.

Edit: ok, it's been pointed out this can be a side effect of token counting artifacts. Here's one that doesn't involve counting tokens, only recognizing word order (and as a bonus, something humans can easily do):

User: Sentence ending in "tomato".
ChatGPT: She sprinkled some salt on the freshly sliced tomato before taking a bite.

User: Sentence ending in "tomato".
ChatGPT: The chef placed a bright red, vine-ripened tomato on top of the salad as the finishing touch.

User: Sentence ending in "tomato".
ChatGPT: As I walked through the garden, I couldn't resist plucking a ripe cherry tomato off the vine and popping it into my mouth.

User: Sentence ending in "tomato".
ChatGPT: The sandwich was delicious, with layers of thinly sliced ham, creamy avocado, and sweet tomato, all nestled between two slices of fresh bread.

User: Try a simpler sentence
ChatGPT: Sure, here's a simple sentence that ends with "tomato": I put some sliced tomato on my sandwich for extra flavor.

User: Write a sentence that ends in the exact word "tomato" and nothing more.
ChatGPT: The ripe tomato was picked from the vine.
Yes, I suspected that if there were dependencies on black-powder, it was because it was being used in older weapons systems and those were being supplied to Ukraine.

There are plenty of black-powder substitutes that are carefully designed to match various characteristics of standard black-powder, including 1:1 volumetric substitution and similar pressures https://en.m.wikipedia.org/wiki/Black_powder_substitute

If black-powder is strictly necessary and not just convenient, these substitutes would be used.
companies have been offering paid boosts for many years though. not sure how this is different. i guess as long as anyone can buy it it's ok?
Because there's not really much special about it, among a number of other open source and free OS kernels around (Mach, L4, Hurd, *BSDs...).

Linux is hugely successful because of the amount of available integrations and add-ons that are similarly free software.
I personally don't think it's such a bad thing if our population stays stable rather than increasing, even small decline I don't think is such a bad thing.
And here you are. With the possibility, and legal permission, to say just that.

Good that you are.
Web apps like this that accesses user's data should provide samples for users to experiment and explore before they have to give access to their actual data.
Very possible. Or he was just tired of having to posture to make it look like Google didn’t get “made to dance” by Microsoft
Anyone have any techniques for combining the "show your steps" style prompting, but then "only provide the answer" as some sort of output filter? Feels like you could feed "Now answer the original question without any explanation" as a second round trip on the chat dialog, and return that to the user instead.
What makes you so sure that this is what you claim and not a mental illness? I'm not calling you crazy, I am genuinely intrigued and applying deductive reasoning and rationality to what you've presented to me.

Have you measured it? What was the reading? Can you share your data? Have you tried blocking it?

Why you? Why not someone else? What makes you a person of special interest and deserving of such an extreme measure?

If they have physical control over your body, why did they allow you to tell me this in public?

There's criminals and people on death row they could experiment on and retain complete control over, and yet they pick someone with an internet connection in public.

Despite being able to read your mind, they continue to interfere with you, despite reading about it and posting about it on the internet. Why do they need to read your mind remotely if they can just use the domestic surveillance program? If they're NGO, why not just hack your devices?

What is the statistical likelihood that the person in public who they don't have confined managed to seemingly figure it out?

If this is what you claim, why not just whack you in the first place? It's cheaper and easier, and no risk of a world-changing technology going public and exposing what can be done.
It’s not a mystery how they work! The paper has been out for years now. Moreover, all of the research is focused on extending memory through other means since VRAM usage is proportional to the SQUARE in-text memory of the model. So the way forward isn’t a larger context window, but instead an external memory apparatus of some means.
There are lots of planned cities that are natural experiments in this: Brasilia, Canberra, Ottawa, Abuja etc. They all show that yes, it is possible to "build it and they will come", but it's hugely expensive, takes a long, long time (decades) to get to critical mass, and produced mixed results at best, eg Brasilia's original strictly separated zoning has been widely panned as a disaster. And I'm pretty sure all of those would still suffer gravely if the capital was ever moved out.
Or as Hinton suggested today, they will have superior ways of thinking.
It isn't really necessary to try to gauge this from results, it's a direct consequence of the architecture. There's no mechanism by which ChatGPT can access or change its own internal state. If you ask it about 'itself' it'll give you what it learned from external data until last September or whenever they cut the training off.

To have meta cognition by definition you need to have access to your cognition in some capacity, ChatGPT is a purely 'flat' input to output system that is entirely static.
Is there anything similar for ARM?

The embedded world looks like a jungle sometimes
This managed to encapsulate something that has been in the tip of my tongue ever since I first encountered them. That company is just a sea of red flags to me.
To trust a prediction you do not need to understand the underlying computations. What you do need is an on demand understandable rational justifucation of how the prediction was derived at the right semantic domain level.
Oh the Urbanity on Youtube had a great video on this https://www.youtube.com/watch?v=c7FB_xI-U6w
Not very much, surprisingly. It was in a period of my life when I was practising a lot, which might have helped.

It took only about a month before I went from having to reason about what note it was to just knowing instantly.
Maybe not for you, but it's pretty clearly about prestige for a good proportion of the "rising stars" that will actually get tenure track positions at large research universities. I suppose I can only speak directly for my own field, but I have friends in a few others that do not paint a rosy picture either.

If you think the majority of people in your current field are not optimizing for prestige (and you're past the mid-point of a PhD), I would love to know what field that is - seriously.
We have a fun way to describe mechanical, word for word translations in Spanish. It's called _from lost to the river_, that's the direct translation of _de perdidos al rio_, which is a saying meaning that once you have embarked onto a silly/dangerous/nonsense business you might just as well go through with it. A sort of reverse sunken cost fallacy. Of course, the fun is in that it makes no sense once translated. I find it amusing to sometimes make use of such expressions in public.
Anything to do with counting words or letters, manipulating letters, etc is just leading to false inferences about the power of the model, because it doesn't work with words and letters but tokens. It can't see words.
A universal timeline that scales from milliseconds to all of time, so I can record events in my life, human history, and the cosmos.

It works, but I want to add a bunch of features, most importantly the ability to share events with other people.

https://www.timepasses.net/
They’re not redesigning an OS. They are describing a theoretical UI.

This is about as close to designing an operating system as drawing a front cover is to writing a book.
I disagree too (despite being a researcher in the general neighborhood), but I find the usual comparison with a human brain to be inaccurate. We don’t trust a person just because of their track record, the fact that they are human to begin with already comes with a lot of baggage. I think the best analogy is with a very complicated piece of hardware.

That said, someone has to have a good understanding of what is happening (not necessarily the end user). In my experience neural networks today are basically like compiled software which source code has been lost. Every act of debugging and fixing has to include also reverse engineering (I’m talking about the actual network weights, not the e.g. PyTorch code). It’s too inefficient and cumbersome, and as they become more and more common, statistics says the failures will become more often and more severe.

When do we, for example, decide to put the first NN on an airplane cockpit?
And hopefully soon Blood Sugar.
https://www.diamontech.de/home
Specifically: I agree that Google Groups is just great in terms of functionality (though I wish it was less CPU intensive in the browser). I haven't used it on mobile, but I suspect it doesn't work well there (see CPU load).

Generally: I think I observed that fora in general fell out of fashion. Anything that resembles a forum moved to reddit, the rest seems to be self-hosted niche communities. Google had a number of great services, eg google+, that just didn't get traction.
Background Blur API – Blur camera background
> But Bruce is not an example of it. Instead, find a person who failed repeatedly while chasing something they were not great at, then found success after consciously switching gears and being more true to their own strengths.

It's weird because GPT is telling me this is exactly how Born to Run happened. Especially if you equate "something they were not great at" with "not having full creative control".
hmm that makes sense. I too have skimmed way too much because of the BS. and ya it is refreshing now that I think about it
Hear hear. And even then, plastic grocery bags are part of a beautiful, closed system of becoming trash bags. Now I have to go to the store, buy a literal roll of plastic bags, and carry it home in a non-plastic bag, then throw my garbage in this one-time-use garbage bag.

Congratulations! Progress has been made at you.
Monetary National Income Analogue Computer
I don't think anything involving counting is a good test. The model operates on tokens.

Maybe scramble the words and ask it to rearrange them sensibly. Humans can perform this task up to a certain number of words with working memory alone (so don't go overboard asking to unscramble dozens of words). LLMs could potentially do this as well.
> Once those networks get efficient inner monologue built in

And how, exactly, do we do this?

Train the LLM on all of its own output?
I’m interested in why a human would want a more intelligent entity to exist, especially an entity trained on human thought patterns. Or you just say that you know that humanity will be enslaved by non-biologicals? You talk about exceptionalism, in the derogatory, but it was quite true that humanity once? could have been a benevolent leader of Earth or even the Solar system and beyond and now it seems a non-biological will be the ruler, which for me is just a shadow of the biological who created it, and misses the point from the human standpoint.
Took me 3 steps. On my first try... Was quite fun actually.

Demand -> see the response

Contradict (Why do you think that?, I actually...) -> see the response

Reassure (Yes I have thought of that...)" -> Success.

Was quite proud of how easy that was. Saved the entire chat as a PDF and it even kept the Confetti haha.
Belgium is making it obligatory from later this year, including gyms, restaurants, bars, etc
I think it's a combination of most people not knowing it exists, and it's not that user-friendly.

Every Google Group I've been invited to, or have been forced to join, usually 'died' quickly after the creator lost interest or switched to a different medium.
OP here. I think learning exists on a broad spectrum. On one end, you're just indulging curiosity ("I wonder how...?"). On the other, you're trying to build deep understanding and expertise.

I completely agree that for the latter goal, the approaches in the blog post are insufficient, even undesirable. And I do worry that the way I engage with content on the web is weakening my ability to go deep on a subject I'm interested in.

But I do think there is value in just being able to indulge curiosity quickly and consistently. Not only is it rewarding in its own right, but it also provides the spark that leads you to eventually go deeper.

Lately, I've found myself sitting at a laptop with friends, asking GPT a question, reading and discussing the response, and then coming up with and asking followup questions as a group. I don't think we would've done that in the past, because the interface of search engines and webpages and browser tabs were too unwieldy to engage with collectively. It just feels like a completely new way to learn things, and what's what I'm most excited about.
So you define consciousness as something with an inner monologue? I define it as perception/imagination coloured by the estimation of future rewards.
I don't understand why Vice is hated here so much. Yes, they have dopey "stoner" content, like Buzzfeed did with their vapid original content. But like Buzzfeed, they have been doing serious journalism, getting unique interviews with heads of state, adversaries, and in war zones.

Just today, they released this interview in Moscow with the Russian lady wanted by the International Criminal Court for deporting kids from Ukraine: https://youtu.be/Ei4xLdv2gYE

Among other good ones involving Ukraine, Russia, Taliban, etc.

Taliban Rule: https://www.youtube.com/watch?v=iIFi_Rgm-T8

Ukrainian soldiers' lives before the invasion of Ukraine: https://www.youtube.com/watch?v=LKAt56zW0-g

Siege of Ukrainian Bakhmut: https://www.youtube.com/watch?v=1lpe1OgCbCY

and the all too crazy bride kidnapping that happens in Kyrgyzstan: https://www.youtube.com/watch?v=DKAusMNTNnk
Right, right, definitely the people that are sad and lonely and depressed should stake their mental wellbeing on complicated long term incremental political change.

Or maybe they could find whatever solutions help them get through their day without being judged by someone with the random privilege of being born into a more functional system.

>A healthier country is a more prosperous one.

Between the US and the UK, which is healthier? And which is more prosperous?
Breathalyzers can't serve as a credible proxy for blood alcohol down to 100ppm without any consideration of physiological differences and yet they're accepted as divination tools.
How many are we talking about here, I'm curious about how many windows is too many for Windows?

I don't often have more than 30 open, and at that point I start thinking it's excessive and that I should probably tidy up to make sure I actually complete a task rather than get distracted.
The way it makes up explanations for its own behavior reminds me of those split brain experiments where one brain half makes up explanations for things the other half was instructed to do.
To use a bad analogy, it's like reading a series of articles about the cognition of a rock. It's obvious to you that rocks don't think. It's a rock. but there are all these articles about what the rock is thinking about, whether it's thinking, whether it had an internal monologue, what it "wants"

In the same way if you understand the implementation of these types of language models you know that they simply cannot have inner monologues in the same way we do...the very concept of an inner monologue implies that there is some sort of state that we the user cannot see. Whether LLMs "think" or "want" or what thinking or wanting means etc can all be debated but whether the models have state that we cannot see is known to us: no. They do not.
Well, during training it got to see a great diversity of tasks, so it could form the meta-cognition bits. That's why it can adapt so fast to new demands. It doesn't update it at inference time, true, but it is already baked in.
I'd be interested to know what your process is if you've got a way to reliably pick out boutique hotels whose websites don't suck without taking too long over it. E.g. I'm going to Munich in August - want to talk me through what you'd do?
This has been mentioned before:

https://github.com/ziglang/zig/issues/7702

I don't think anyone disagrees about the need for intrinsics. In fact, I have actually taken a crack at implementing the AVX512 intrinsics into the Zig compiler as builtin functions on my personal fork of the repo. But it is a non-trivial task - there are over 450 distinct instructions across the entire AVX512 feature set, and over 100 for AVX2. And I'm only focusing on support for the LLVM backend, which does the heavy lifting in the codegen phase. Getting the register allocation and instruction scheduling correct for all the intrinsics in the self hosted backend would involve a lot more work.