skysight-inc/HackerNews huggingface dataset:
I had a lot of fun clicking through these links. One of my favorites to add here is drawing with the Checkbox. https://www.bryanbraun.com/checkboxland/
Airbnb's new features let you preview cleaning instructions
I think my time in the industry is over. Six months and no job, only a handful of interviews and most of them were very antagonistic. Recruiters contact is erratic and seems to be only lowering in quality. I wouldn’t be too cut up about it except I still have to pay rent/bills/etc which only seem to be climbing rapidly and had to hemorrhage a lot of money at the end of 2022/2023 thanks to unexpected events.

I don’t have any good ways to staying sane unfortunately, mostly bad coping mechanisms that calm me down but also make me useless.
SNOBOL was the first language I learned with pattern matching. It was, at least to my memory, pretty much the main interesting feature of the language.
If they did a better job in the first place we wouldn’t have to argue about it now. Their works are famously vague and low on details. It’s not something engineers can do useful work with.
Folks who are pessimistic on driverless cars appear to move the goals on the last 1% repeatedly. Self driving cars are driving themselves around Phoenix and SF right at this minute.
1. Take text of source material. Example: extract_pdf_text(pdf_path_string)

2. Segment text every 3000 characters.

3. Generate embeddings for every text segment and save the embeddings to PineconeDB. Make sure you also save the raw text segment as additional meta information so you can use it later. https://platform.openai.com/docs/guides/embeddings/what-are-...

4. Capture user's question and generate an embedding for it using the same OpenAI API.

5. Query your PineconeDB with the question's embedding you will get matches back.

6. Use these matches as context to hit the OpenAI chatgpt API endpoint. Example:

Using this context answer this question: **QUESTION**

**CONTEXT**
My favorite part of Web3 are the characteristics of decentralized and community governance. Yet, VC's are making huge USD bets on the "companies" supporting these projects. If these are truly decentralized and truly community driven, then a single source shouldn't be reaping financial rewards.
This is amazing work and bravo on to the people working on redpajama.

This is fantastic for the world, this means LLMs will not be controlled by a couple of companies with the associated rents.

Yes, private LLMs will likely be a couple of years ahead of 'free' alternatives, but that's OK, we want to incentivize for profit research so long as the services are low priced in time (and in this case in short order).

AMAZING WORK.
There are things that you do not touch in this world without clear consent: the scrollbar is near the top of that list, right under the back button and other people's food.
what is, then, in your estimation?
A touch screen adds weight and a glossy display. I purposely purchased the Lenovo T14S Gen 3 AMD without a touch screen as I prefer a matte screen, and the device is lighter.
Great response.

Part of the point of estimating difficulty is exactly to reduce the one-sidedness evident in time estimations. Human brains are much more accurate and consistent with effort estimation than time. It's still very likely a beta distribution but for the level of accuracy we're talking about it's just fine.

We should probably clarify the "bar" here: the very best time estimators never beat about +30% delta from actual time. (Note that I'm not using +/- intervals because it's only ever +). So how many points (effort/time ratio values) does it take for convergence to get your effort/time ratio mean within 30% of the peak of the curve?
That reads like a fluff piece to me, which seems unsurprising considering the source; my understanding is that all we have right now are research reactors, i.e. the things are not really suitable for commercial use even if they could already be built/deployed quickly and at scale (which they can't).

And that makes the economics just wishful thinking-- to back them up, we would need first a finalized, commercial design, then to actually build it in some numbers, and verify cost effectiveness. And this is a point that renewables already reached a decade ago, while still getting cheaper...

Nuclear power in general also suffers from the big problem that it becomes even less attractive the more cheap intermittent power is available, because all the costs are fixed; just turning these on when there is no wind/sun makes the already bad cost efficiency even worse...
You may enjoy these org charts:

https://web.archive.org/web/20110701051217/http://www.bonker...
It sounds like a USA semiconductor self-sufficiency premium. Probably the government agrees it's worth 30% to make some chips on USA soil. Maybe it's some kind of nationalization insurance premium like they think USA might take over the fab if some bad things happen?
New top-level domains for dads, grads and techies
I think Teams would be much better if that was the dynamic.
> Citing a few instances doesn’t prove the point.

I haven’t read every linked reference, but for a relatively short article there are more than a few. It's certainly more annotated than the average article I find on HN. Shouldn’t the quality of the sources matter most? And if what matters is the number, how many would be enough in this case? What would prove the point?

> or how open other areas of research are.

Other areas of research are irrelevant to the point. Even if other areas suck, that doesn’t excuse this one sucking too.

> pick any other area of research, and I will happily find you some footnotes citations that support exactly these claims.

Even if that is true, it doesn’t make the argument automatically false or irrelevant for any particular case.

First you objected the author had no data or references. Now you’re saying that for any area of research you can find references to prove the point they’re making. Which is it? Is the problem that they didn’t provide enough sources, or that the sources aren’t believable?
If you mean the common OpenAI API key, I'm not sure how that's different in regards to feeling secure compared to separate keys. Would you mind elaborating further, please?

To clarify, the common API key is known only by my server, not by the app!
Heh. I got into computing in the 80s, and your other headlines are much more plausible. I did find a very interesting library book Algorithms in SNOBOL4 by Gimpel, so I actually got familiar with it -- but that was sheer luck.

(The book's title is misleading now: it doesn't much overlap a modern undergrad intro to algorithms. It's more "here are examples and techniques of programming in SNOBOL".)
TFA isn't a blanket scoffing and neither are my comments. I think LLM's are neat, interesting, and could be very useful.

However I do remain skeptical of the more extreme claims made by researchers that don't publish their experiments for others to reproduce, by companies with a vested interest in maintaining narratives that improve their gains, etc.

That kind of hogwash does make it all the more difficult to have sensible conversations and perform real research.

Edit: I, for one, am hopeful we will be able to add reasoning models to our tool-chain one day for the purposes of dispatching trivial proofs to. It would be nice to use formal methods in more places in software development and be able to move past the, cost and time excuses for avoiding them.
Vodafone did the same - CPI (10.5%) + 3.9% "to help support the continued investment in our network as we expand coverage". I guess 3.9% is some government limit?
For a good general non-technical introduction I recommend the YouTube computerphile series related to language models, transformers and other general concepts. If you are interested in actually doing stuff there’s an over abundance of material out there already, if you try looking.
I really like the visual of the whack-a-mole, it's so brute force, and the game always ends with a flurry of activity... and cursing.
It's not news when a 50-person company lays off 4 people (8%).
I am stressed by my neighbor's car noise. He has several cars, one is so loud (and a low frequency) it rattles our pictures on the wall. Our houses are very close to one another on a small private road. He turns it on randomly, revving it, any hour of the day or night. This has been going on for years. It's woken me up. It's interrupted our "wind down" time before bed. It drives me crazy because it penetrates my ear cavity, a low, spontaneous vibration in my brain, and I have no control-- we've tried talking with him, arguing with him, calling police, putting up a fence, discussing with other neighbors, etc, to no avail. He is also a bit aggressive, enough to frighten one of the neighbors, and I bought security cameras to give me and my family a little piece of mind. We live in a state where household guns are quite common (we do not own any), so that adds to my worry, whether it is an actual threat or not.

All I can do is hope that we move soon, but the housing market is not helping. I also try to focus on the moments of calm when I cannot hear his car. It takes considerable mental effort not to acknowledge the noise and let is alter my mental state.

For example, I work mostly from home, so I went outside yesterday to relax in the sun, only if for a few minutes, and he started up his car, shattering the air and any relaxation. I went back inside my house.

For me, hope, is the key. I can only hope that things will get better, and to be patient that they will. I tell myself that this only temporary, and will someday become a memory in the past. Another way I cope is to take many small vacations. It's amazing when we stay somewhere and don't have to worry about loud, spontaneous noises. Noise pollution is a thing!
You didn't ask me this question, but I work in Ruby, and off the top of my head, have no complaints about Bundler. Switching Ruby versions between projects is not something that is handled natively in any way (unsurprisingly?) and I know that I've struggled a lot with `rvm`, but since switching to *env (rbenv, pyenv, nodenv) I can safely say I do not have any struggles on that front either.
Is it even a 1980s programming language without a Hanoi example?

Here's the program in its all-caps, weirdly indented beauty:

DEFINE('HANOI(N,NS,ND,NI)') :(HANOI.END)
HANOI EQ(N,O) :S(RETURN)
HANOI(N - 1,NS,NI,ND)
OUTPUT 'MOVE DISC ' N ' FROM ' NS ' TO ' ND
HANOI(N - 1,NI,ND,NS) :(RETURN)
HANOI.END
TEST HANOI (5,'A','C','B')
END
Rust is the golden standard. python and js are on part with each other, they just have different problems:

- tooling and dependencies are hell in js

- bootstrapping is half the battle in python (see https://bitecode.substack.com/p/relieving-your-python-packag...)
Anyone can evaluate whether it's giving you a self-consistent set of statements, and the additional words it spits out are helpful for a traditional search for alternative sources.

IMO, so long as you're aware the information is often subtly wrong, it's not that different from, e.g., physics classes progressively lying to you less to allow your brain to build a framework to house the incoming ideas.
Thanks for sharing this update. It's always sad to hear about layoffs, but it's important to stay informed about what's happening in the industry. I hope those affected by the layoffs are able to find new opportunities soon. Unity is a great company and I'm sure they'll come out of this stronger.
Well, it doesn't seem bizarrely implausible. It has spiked even higher than that in my lifetime (not even counting recently).

The trouble is that I've been told that it was far lower. By official government sources.

It would be interesting to include the DJIA into CPI though. I bet some people would lose their shit over that.
I do not dispute that there are more obvious routes, nor that this is a topic of significant interest to believers. But I difficult for me to believe that secular historians have overwhelmingly less interest in the subject to the point where if there _were_ more representation, there would not be such a consensus. Or that there is some religious/secular split in opinion on this issue.

> Seems a bit disingenuous...

I'm more confused as to why you made this comparison right after poking holes in this argumentation
Musk threatens to reassign NPR Twitter account if it won’t start tweeting again
Does anyone know what happens if you do transfer learning in addition to scaling? It feels like people used to use transfer learning in lieu of scaling and I haven't wrapped my head around how they work together.
> Now one could allow backups of a passkey

That's literally part of what makes a passkey a passkey (v.s. just a WebAuthn credential), so that's a given.

> as insecure as a password

No. Passkeys can't be phished, passwords can. Passkeys can't be cracked after a data breach. Passwords can. Passkeys can't be set to something easily guessable. Passwords can. Passkeys can't be written on a post-it note and taped to your monitor. Passwords can. Passkeys can't be reused across multiple sites. Passwords can.

There are so many ways passkeys are superior to user-memorized passwords from a security perspective, it's laughable to call them "as insecure as a password".

> One could allow multiple instances of authorized passkeys, but those would be even more insecure than passwords, because malicious software on your device could create evil new key instances.

What? Malware stealing your password is "more secure" than malware registering it's own malicious key to each individual site it wants access to?
> If Google ever develops AGI, you can be sure they’ll call it something else.

They will paint it in their primary colors logo and call it the Happy Fun Ball.
If an AGI means equivalent to a human (not just online, but in full robotic form, even if compute is not done in the body), then Id put 0% in the next 5 years. Maybe like 5% in 10 years, but that human will be very much limited, since it will most likely be trained using traditional methods, which means for the physical interaction part it will have to be trained on a representative subset of physical tasks, and just like ChatGPT, it will fall short in areas.

If an AGI means that something is sentient enough to be able to rewrite itself to be better, id put 0% in the next 50 years. There needs to be way to run accurate simulations of reality faster than reality, which is a fundamental physics problem as well as a computation one.

What is going to happen is more and more efficient information compression that will appear like AI, but under the hood it will basically be just emergent software. It will be totally possible in the future to ask an agent and get a full step by step plan of building a personal VTOL in your garage without specialized equipment, but all that is is just information from different domains rolled into one compression algorithm with efficient language based search.
I'm speaking from my own experiences. Proxying the requests to rewrite the user agent, the full mobile version of YouTube and Maps worked properly. Without rewriting the user agent I would be redirected to the minimal versions of the websites which had poor experiences.
Lol wut? You want VCs to fund the creation/incubation of a laptop mainboard spec using equity from Framework just to spoon-feed other vendors into competition? I mean it kinda seems like the onus is on new vendors to work off the published specs and and with Framework as interest grows to codify a standard so they can be relevant. I’m sure Framework would love that. It’s really dumb to see people advocating for Framework to waste resources solving a problem that doesn't exist.
See section 5: https://usun.usmission.gov/fact-sheet-un-security-council-re...

https://www.nytimes.com/2023/04/03/world/asia/north-korea-hu...
> Families and anyone who wants to do anything with loads larger than a suitcase would move out

That's where carshare (like Zipcar) comes into play. Carshare allows residents to be able to access a full vehicle when they need to "do anything with loads larger than a suitcase", without using public property for their own personal, subsidized, private car storage.
Implementing complex numbers and FFT with just algebraic datatypes (no floats)
Only if you consider 30% significant.
on the other hand, i would think twice before buying a laptop with touchscreen.

i don't use it at all and it's mostly a waste of battery power, as there usually is no way to explicitly power it down (except maybe opening the laptop and snipping the right cable -- but who wants to do that ?)
> The philosophy students are busting a gut at the laughable job we computer scientists are doing, redefining "thinking" and "consciousnesses" from first principles

To be fair, that's HN on any topic when it veers into the humanities.
They make the display worse.
Complaining about downvotes is a good way to earn more of them.
what would you consider a test of the ability to create new knowledge? I don't think there exists a meaningful distinction here. If I give an AI the same information astronomers had to figure out the big bang conclusion, it would probably be able to figure it out. They "induced" from a bunch of data points that there was one likely explanation.

Similarly if I gave it a phenomena I wanted to know about it could propose experiements to run to understand that thing.

taking independant action in the world is indeed beyond the limits of chatgpt on it's own, but its not hard to build systems relying heavily on chatgpt to do that, a simple loop calling it with information from sensors and a prompt to experiment with outputs is enough to get some kind of agent. It can process any information, and given more power it can draw ever-higher inferences from that information. This is analogous to a turing machine, something that can eventually get anywhere, but it will take an arbitrarily long time to do it.

I think of it kinda like the CPU in a Von Neumann architecture. A cpu on it's own doesn't do much of anything unless you tell it to. We have that part solved, we just need to settle on a good structure for repeatedly querying it.
wgpu at least prefers Vulkan over DirectX 12 on Windows.
That's all great, but Framework team, when do you finally extend support for the rest of European countries?
DNS over HTTP is something different than Service Discovery over HTTP (https://datatracker.ietf.org/doc/draft-ietf-dnsop-svcb-https...). The latter is plain DNS, but allows to transfer alternate service responses as part of the DNS response packet. As you can see from the link, it's still in a draft state.
I also recently installed Edge (on macOS) to give BinGPT a try and almost couldn't believe what I saw. Ads, coupons, rewards everywhere...

It truly felt like being transported to the darkest times of the late 90s/early 2000s, with multiple adware toolbars cluttering the IE user interface.
I'm sure that has to do with the dataset available to them.
making it difficult to visit my friends

It would be more difficult to see your friends if they couldn't afford to live in that area t all.
That should be a motivational poster or a tshirt
can you turn it off in hardware though?
Unless your job is specifically to investigate local businsess, what you hear or not depends on media, not what is happening.
> I'm betting some people wish they had a union now.

100% this. Unions help employees to negotiate better even in a layoff situation.

Engineers and other software related jobs, are just that jobs. Unions are specially designed to help employees better deals whatever the industry.
Please allow me to share a blog post and a learning resource:

- Consider Haskell - https://gilmi.me/blog/post/2020/04/28/consider-haskell

- Learn Haskell by building a blog generator - https://lhbg-book.link
The first thing to learn is you can’t trust the internet. From that you’ll know not to trust gpt. If you are prone to trusting things blindly, without doing your own research or verification, you have far bigger problems than gpt “hallucinations” (frankly a terrible terminology).
“CIRCT: Open-Source Circuit IR Compilers and Tools” (Latch-Up 2023)
> Additionally, why do these forum users generally appear to crave feedback? An evangelical who claims to have it all figured out will do their best to avoid feedback to not have their message called into question.

Well, if you have a big ego, you might simply crave hearing other people agree with you, or congradulating you, or cheering you on. People are emotionally motivated like that.

Alternatively, an evangelist might express their unshakeable belief for constructive feedback, not on why they might want to question their belief, but instead on how they can better present that belief. Presentation skills are very important for a committed evangelist to know! More generally, someone can post a comment on Reddit, some parts of which they do not question, just to introduce other parts that they want real feedback on.

> Is it conceivable that the same person would send the same type of commentary to ChatGPT?

Definitely, if they didn't know it was ChatGPT. Perhaps not, if they did. The emotional element comes from imagining the hypothetical lives of the audience members being improved from their knowledge. Especially with smaller communities, where one might already know something or another about the usual commentariat, to build a seed for the imagination.

> But sending comments out to the digital void is not socialization. It is very much a solitary activity.

You may feel that way, and it may very well be true, but I don't think that has sunk in on an emotional level for most people. Compare with parasocial relationships, which are well-documented. The celebrity does not care about a random person watching online, but this does not stop that person from harboring an illusion of intimacy.

Similarly, a person expressing their beliefs in public without wanting to learn anything is likely building a persona of the invisible audience, and becoming emotionally invested in that persona. This is only reinforced if someone occasionally gets bits of emotionally positive feedback from a few audience members.

So I'd say that there is usually no value proposition in terms of material gain for publically posting on Reddit. Instead, the value mostly lies in the feelings one gets when talking to the imagined audience persona.
The biometrics like your face or fingerprints aren't used directly with the site you're trying to log into and would never leave your device. It's just used to unlock your phone/tablet/computer/whatever's stored secrets to sign a message verifying it's you. If you don't trust the biometric systems on your device or are worried about someone stealing them and trying to fool your device's hardware, you can always just not use them and just use a passcode/password to protect your device instead.
Building the New Tinygrad Computer
My startup failed in 2017. Leading up to that I had several panic attacks. Lots of things stressed me out: work, the news, money, etc...

I spent a lot of time after that reflecting on what went wrong and part of it was a dismantling of my ego, and a lot of meditating and reading philosophy.

The subtle art of not giving a fuck... And lots of stoicism, Marcus Aurelius, Aristotle...

Love fate

The only things in our control are our perception and our choices.

God, grant me the serenity to accept the things I cannot change,
the courage to change the things I can,
and the wisdom to know the difference

I don't really consider myself religious, but I learned to value the useful and still relevant parts of several religions.

Then I practiced... Lots of deliberate practice. Meditation, exercise and practiced deliberate choices and perception.

I don't get nearly as stressed anymore.
They absolutely should have been and if they were we probably wouldn't have the amazon or google we have today.