skysight-inc/HackerNews huggingface dataset:
If an idling raspberry pi is too power hungry, a microcontroller like an ESP32 could be made to respond to ARPs. $8 for the MCU and a couple of afternoons of noodling. It's not going to run avahi for you though.
I probably should have noted it. It's a safe assumption that any comment I make about Tesla is at least somewhat sarcastic.
Most of it still sells your data to advertisers... even when they promise they don't.
Your team won't be needed anymore. Your boss won't be needed anymore.

Furthermore, whatever product or service your company provides, won't be needed anymore.

This is the progression of AI. To be the provider of everything in the end.

"Eventually you are just going to be in the way as a manager of AI tooling. AI will manage AI and learn from AI. No humans in the loop. No humans can keep up with the rate of advancement." - https://dakara.substack.com/p/ai-and-the-end-to-all-things
> Anyone can now put words in a row pretty much as well as I can.

This suffers the same fallacy that people who think ChatGPT is somehow going to upend coding suffer from.

Can GPT-4 write code and sentences? Yes, it can, but it makes a lot of subtle mistakes. Good programmers are often good at:

- decomposition

- thoroughness

- identifying important components

My hypothesis is that AI will make those things summarily more obvious if a programmer doesn't have them. A programmer that's not thorough will not have the inclination or drive to review and understand all output, so the output will harm their work whether that's writing or code. AI can't decompose anything sufficiently complex as a function. It can kind of get close, but again, it misses the objective of decomposition because decomposition isn't a language function, it's a higher order abstract function. Last, AI isn't going to recognize importance or priority, especially if it's on-going. Try giving it a rules system and see if it follows the rules to a T. IME, it does not.

AI will make good programmers better, and some okay programmers better, but I have a feeling it will also make bad programmers worse.
it honestly never occurred to me that there is a “usage” of linkedin other than putting up a profile to field offers from recruiters
To be honest the built-in test runner does everything I want.
Tiller was popular at least in the 1960s - see the Cat Stevens/Yousef album "Tea for the Tillerman"
Uniqlo’s Parent Company Bets Big on Tiny RFID Chips
What are you looking for that Google can't find?
Ahhh yes, the fabled paperclip maximizer [1]. All skills become worth $0 in that scenario. It's a thought-terminating cliché at this point.

[1] https://www.lesswrong.com/tag/squiggle-maximizer-formerly-pa...
https://www.openculture.com/2021/04/when-the-indiana-bell-bu...
https://archive.ph/6v8zE
Wikipedia isn't a person. What social media presence does Wikipedia as an organization need?
Let me clarify that Doom Emacs is not "same as Spacemacs, but faster". This is probably one of the biggest misunderstandings about these two Emacs frameworks.

You can end up with a similar feature set using any of the two, and yes, Doom Emacs will probably be a bit faster, but they are not entirely equal. The user experience is different, one easy example is that while using SPC as a leader key is a feature in both, the keymaps are quite different.

My recommendation would be to try them both: they are easy to install, and uninstallation is as simple as removing the Emacs config in your user directory.
See

https://www.sbert.net/

It uses large language models trained to: (1) produce a document embedding vector from a document that captures the “gist” of the document, (2) given a query and document, predict if the document is relevant to the query.

I was working on a search engine that used a dense document embedding about a decade ago which was highly successful, but at the time that kind of embedding helped with recall instead of precision since it could discover alternative meanings of words but not differentiate between different meanings of words. Transformer-based embeddings can do just that and are a revolution in IR. (Some significant develoment in that field happens about once a decade, so it is a big deal.)

It helps that that sbert.net is super-reliable and easy to use: I’ve gotten demos up and running in half an hour whereas doing something with raw huggingface transformers usually means a week tuning hyperparameters.
This is a layer below the digital circuit abstraction in the territory of analog circuits and device physics.

The extra current is a physical thing and you need more material to temporarily withstand it, and more circuit to detect and control it. Since it's an uncontrolled switching event, it'll probably ring unless you add even more components to absorb and control that. Then that could exceed the physical limits and trigger a parasitic circuit that doesn't have an off switch, so you need yet another circuit to detect and shut it off somewhere else.

It can be a lot of work for the board designer to make it reliable and compatible, assuming the other chip it's talking to can also handle the extra current. It's cheaper and more reliable to type GPIO1DIR=OUT or whatever. Sort of like when you drive a car, it's easier to choose to drive in the correct lane than it is for the car to enforce it on you and protect you if you do it anyway.
A big one for me is being able to decide when to use GPT3.5 and when to use GPT4 for a given prompt. Perhaps it will be short term that this is a "skill", sooner or later they will lift the GPT4 cap and speed it up, but for right now I can stretch out a GPT4 session indefinitely if I know what gpt3.5 can and can't handle.

Besides that though, chatGPT has been nothing short of a huge product....I don't even want to say a "huge productivity boost", that implies like good sleep or drinking coffee, its been like an augmentation that allows be to bat above my league. Like a free (well $20/mo) co-worker who knows a lot about programming.
What a selfish take.
Compared to the first NaturalSpeech[1] I'm hearing a lot of white noise in the background. Singing is pretty cool but it feels like we need a few iterations before it can match the ground truth in the way speech does.

[1] https://speechresearch.github.io/naturalspeech/
So there's a big long video by Petar Zeihan at the Iowa Pork Conference but the TL;DR is that the Ukraine and Russia are 2 or the world's 3 leading producers of nitrogen.

This is a critical component of fertilizer. Because of fertilizer we weren't just able to make land good for crops better for crops we were able to make land that was marginal for crops good for crops.

Because of this we could farm a lot more land; however with less fertilizer suddenly that land can't be farmed. What this means is less arable land = less food.

As a result the supply decreases while demand increases, leading to a price increase.

So yes it is a real excuse, and the problem is that many nations in the world import more than 50% of their calories and almost no nations on earth are calorically self sufficient.
Related
https://en.wikipedia.org/wiki/Ship_motions#Translational
You don't move the foundation, you move the building.
> social media has the added "benefit" of finding that filler algorithmically

Algorithmically, tailored per-user and without any oversight.

Traditional media can't peddle too extreme viewpoints because that would alienate a large chunk of their target market. Social media on the other hand can tailor the content for each individual user as to achieve maximum engagement without the risk of alienating anyone.

Traditional media is also subject to oversight (some people - or government watchdogs - can just record the TV programme as evidence) and regulations targeting broadcast media, where as social media isn't since nobody can monitor every individual user's feed, nor do they have the same regulations governing them (Fox got in trouble for peddling election misinformation, Facebook can promote exactly the same content and get away with it thanks to Section 230).
Yes, although I could only get it to work with Davinci and not any of the chat models. So it ended up being expensive in comparison.

What I was trying to do is give an answer that cited any relevant info in Pinecone, but refuse to answer if it couldn’t find a source.

That’s where I got stuck as it would often still make up an answer.
Point of clarification, China is suffering from monsoon, not drought
The recent layoff rush at big tech companies is going to be problematic in the long-term. Shutting down internal mobility, and randomly cutting groups means that the value of sticking with a big tech has dropped significantly to the employee. It used to be that as an employee, you could switch groups to avoid bad team/product combinations.

Once internal mobility opens up, it will be very difficult to convince engineers to move for new initiatives. I suspect many will depart for startups/smaller firms where they can own their own destiny.
Exactly. I don't see how anyone can read this and tell the IRS with a straight face that their software dev doesn't need to be ammortized.
Schematics (of any sort), block diagrams, general spatial awareness (including anything related to puzzle pieces/packing, like circuit layout), most physics problems involving force diagrams, anything mechanical, etc. The text representation of any of these is ludicrously more complex than simple images.

If you sit someone down, that works in one of these fields, you'll quickly see the limitations. It'll try to represent the concepts as text, with ascii art or some "attempt" at an ascii file format that can be used to draw, and its "reasoning" about these things is much more limited.

I think most people interacting with GPT are in a text-only (and especially programming) bubble.
You have significantly more faith in the market than I.

> People who have money will always pay a premium for quality.

The assumption here is that the Venn of "people who have money" and "people who can recognise / care about quality" is closer to a circle than a figure eight - that has not been my experience.
Yes exactly this, Stephen King will always be Stephen King. You can get chatgpt to generate something like Stephen King, but people know about him and his brand/style so it feels like cheap imitation.

Everyone else? They won't get the ability to establish their brand/style (assuming chatgpt gets faster at updating with recent information/sources).

I can see us relying far more on centralized institutions (again). Only reading from certain publishing houses, writers focusing more on trying to get into a certain house vs content of their work.
"I can tell you “scope small uwu”, but if you don’t believe small games can be good in the first place, all you’ll hear is a homework assignment you have to do before you can make the games you really care about."

This is both an important insight and excellent writing.
Yet, you would not assume the word gemoedelijk is used in an ironic or sarcastic context. Often its used to ensure it is explained positive. The atmosphere in the Arena of the match Ajax - Feyenoord is gemoedelijk vs (ouderwets) gezellig.
When in truth, I think most security issues are created when a newly released, non-safe version reaches the public.

Also, I think it's safe to assume that any system can be compromised at some point in one way or another, the best way is to focus on backups, monitoring and alerting.
Very nice, I didn't know that you could wake computers with unicast packets.

For my use case, I run a Raspberry Pi that is on the same local network as my PC. When I connect to the Pi to forward my PC's RDP port to my laptop's loopback interface, the Pi sends a normal magic packet to wake my PC. All that was needed was an entry like this in my laptop's .ssh/config:

Host remote-desktop
HostName raspberry-pi
User pi
Port 1234
IdentityFile ~/.ssh/raspberry-pi-key
LocalForward 3389 my-pc.local:3389
SessionType default
RemoteCommand wakeonlan -i 192.168.178.255 11:22:33:44:55:66; cat

Each time the RDP port is forwarded, the wakeonlan command is run on the Raspberry Pi. The 'cat' at the end keeps the command from exiting so that the RDP port keeps being forwarded. (I also configured the NOPASSWD option for wakeonlan in /etc/sudoers so that no root privileges are needed to run it.)
I'll go with "anchor".
Co-author here. Recommend reading the paper itself. The resolution comparison is to clinical MRI, not previous state of the art. Improvement compared to previous state of the art is substantial in terms of both resolution AND throughput. This work is a genuine game-changer for our neurogenetics team. We can generate 100s of very high resolution MRI dataset and get great global estimates of volumes and connectivity. We are using these methods in combination with “humanized” Alzheimer’s disease mice.
> This is implied.

You'd be surprised how many people miss that runtime drives this. I've seen many discussions where people claimed "you can implement all this is a library" :)

> it would be absurd to build a compiler and runtime system for, eg., Elixir that is not able to execute GenServers.

Well, Akka did it on top of JVM: https://doc.akka.io/docs/akka/current/typed/fault-tolerance.... Can't say about its limitations though.
This is also my opinion. AI will dig a huge gap which does not yet exist between the best and the worst products (articles, code, whatever your product is). People will only have to navigate in this new landscape filled with a huge majority of mediocre crap and a small minority of gems.
> be translated as "sociable" (referring to a person) most of the time.

Gesellig is also used for occasions, like a geselliger Abend as also listed on the Leo link. In Switzerland it's sometimes also used for places like a geselliges Restaurant. From that perspective I use the German word in pretty much the same way.

Side note: The adjective likely comes from "Gesellschaft," which can mean "society" but also "company."
I'm Goin' to Production
Reminded me of this SIGBOVIK paper - "Harder drives: hard drives we didn't want or need"

http://tom7.org/harder/\
Why? It's content made freely accessible, and its use is either being carried out under fair use provisions, or it isn't (in which case, existing copyright law applies).

I guess the one question I'd have here is whether or not these LLM's are being created by scraping content in a manner that ignores robots.txt files. While not strictly illegal, this is relatively hostile behavior, and there may be a case that it amounts to unauthorized access.
The reaction became a chain reaction and now the details don't matter and the "dogma" could be anything. For example, singing the sone "Rainbowland" at an elementary school concert is now considered pushing some dogma of shaming on kids.
I'm pretty sure the people suffering are well aware of that. This sort of mental illness isn't the kind of thing thats rooted in logic-brain, and simply "explaining" it doesn't make it go away, else society wouldn't have as much of a problem.
> Going back and hunting for strong, crisp verbs is not some crutch for weak writers; it’s the minimum standard of care when writing something for mass consumption.

For mass consumption, sure. But the best writers almost never wrote for mass consumption. Some of them did acquire a mass following, but it usually was not a goal; their goal was to communicate the ideas they developed to a potentially interested audience. Ads and dark patterns are their enemies, they distract readers from ideas the writer wants to convey.

The last few decades saw a meteoric rise of blogs and other forms of writing. A small portion created something new, but the vast majority were regurgitating old ideas in a (slightly) new light or peddling outrage. I will not cry if 90% of those writers stop writing. This will also increase chances that whoever is still writing does so because he has ideas to capture, not because he optimizes for money and is happy to push ads or ideas based on today's ROI. My 2c.
The 100 corporations thing is silly. They aren't out there polluting for the fun of it, they're making stuff for people and organizations.

If people and governments and companies stop buying gas, the pollution on Chevron's ledger for oil extraction and refining will plummet as they get stuck with smaller markets like plastic manufacturing.

Those dastardly 100 corporations are emitting to make stuff for you.
I'm in the US and have had multiple MRI scans happen either the same day as an appointment or the next. Compared to that, even a month seems pretty long.
Not to mention the content farms that just produce junk to ruin Google search results.
Similar for computadora (rather than ordenador) in Latin America:

https://www.woodwardspanish.com/how-to-say-computer-spanish-...
Vakantieman! Gezellig heh? (Rolleyes)
in other news, "finger positioning properties evolve faster than finger genes?"

Doesn't seem too surprising that spiders can change their silk for varying conditions. It's part of their body, after all - they are going to be good at using it even in microscopically different ways.
Not only failed, but backfired. All these Russia/China/India deals is the result of the sanctions. Heck, even Japan is now ignoring the price thresholds and buys from Russia.
It was big news this month when Russian oil exports finally made it back to prewar levels. Their revenue is still off by ~45% from prewar.

The sanctions absolutely did something. Though I think it’s reasonable to ask if they caused a net increase in the cost of oil after the initial shock given how big a discount Russian oil buyers are getting. Though even if exports stabilized it’s possible the market is paying a risk premium.
My father was a graphic designer, and jumped early onto digital design tools.

Our Amiga was my introduction to computers. I hold a lot of fondness for them.
But Mr. Musk is playing 11th dimensional chess that the rest of us are incapable of understanding. But more seriously, there are reasons they didn't start on it until now, maybe those reasons will persist and they'll get past the sunk cost fallacy and just decide to cancel it.

Even then, what's the chance that Tesla will remember who gave them a $99 deposit. SpaceX completely forgot about how I gave them $599 for a downlink terminal. I had to email them scans of my credit card bills to convince them to look for their records of the transaction so they could refund the charge on my credit card. (And even then, they only refunded $500 or the $599 I spent.)

But I'm grousing about SpaceX, I'm sure Tesla has a better AR/AP/CS system.
It widely used in the context of OpenAI’s model specifically. It is also a trademarked term.
On the grand scale we are definitely on an acceleration technological curve. And by that I mean humanity and all technology not constrained to only AI.

AI might hit some walls, there may be a lot of hype at the moment, but it has already broken new ground and boundaries not previously thought possible.

Unfortunately, many of those grounds already broken and proven are nefarious and dystopian uses. In the article I link above, I go into great detail on this topic. With all the concern of AGI (utopia/world ending) there is not much focus on the imminent impacts of primitive AI. They are no less concerning.
While partially true, you would still expect cost increases from oil flowing through China and India.

I believe Russia is also a major fertilizer exporter and nitrogen fertilizers have more or less doubled in price
This is a valid point. I‘m in a similar position and try to pay it off faster.

However my point stands. We don‘t know. This kind of uncertainty is uncomfortable but it‘s best to ignore it. Forget about ChatGPT until you have seen the industry change.

edit: I would also argue to keep investing in yourself. What else is there to do? If AI gets to the point of replacing developers it will equally affect most office jobs. If you want to be a builder you can become that later. Everyone else would and the economy would likely collapse. We‘ll see when we get there.

Imagine an uber or taxi driver reading about self-driving cars in 2010 and dropping everything. Yet, a decade later uber is the same. Most likely it will be the same in 5 years. Even if self-driving cars arrive it will take until 2030 or 2035 for them to be widely used.
mostly agree I think the web is over as we know it maybe the solution will be the broken web plus some new system that has ties into local regulation ID systems so that you are accountable for your actions
https://www.wsj.com/articles/america-its-time-for-unityor-el...

Sounds like this guy is just a standard outrage merchant.
I have this strange feeling this skill will be needed soon. Like I should also learn how to make fire from sticks and no flint!
Some poking around the authors of the paper brought me to: AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models [1] with demos [2]

This sparks my interest so much since the last few days I was wondering if it was possible to use diffusion models on spectrograms to do audio effects editing. Here is a paper submitted a couple of weeks ago doing just that. And the demo examples are exceptional.

I want all of this to start slowing down a bit so I have a chance to catch up. I was just watching Andrej Karpathy's excellent Zero to Hero syllabus [3] trying to wrap my head around LLMs and now I feel I absolutely must catch up on diffusion models.

1. https://arxiv.org/abs/2304.00830

2. https://audit-demo.github.io/

3. https://karpathy.ai/zero-to-hero.html
Using natural language processing to construct a National Zoning and Land Use DB
Sorry, Isekai fans, or vending machines?
wow, it's pretty intuitive and it works!
So the Spanish American war was not imperialistic...
Or the US controlling most of South America (Monroe Doctrine)...
How about taking control of most of North America from the First Nations through genocidal actions?

Your claim is not based in the actual history of the US, but instead viewing it through a politicized and simplistic lens.

Other than an incredible brief era at the start of the US, we've been imperialistic in our foreign policy.
yep, I haven't gotten to that point yet. Trying to get feedback before I dive too deep into building it out fully. :)
That would be two less than they should have? Unless you're commenting on its uselessness that they 'should' have zero despite one being normal?
i feel as though these days prices fail to return back to normal after sharp spikes like they have in the past, anecdotally
The Supreme Court is about to hear a landmark online threats case
oooh thats an interesting thought, I really like that.
Linkedin is the only social media which has ever been of any tangible benefit to me, though. It makes getting jobs trivially easy, and I only have to login once every few years.
Just rebrand with a made up title, most people are average, it's average to expect average.
Show HN: Open-source Auth0 alternative Ory Kratos v0.13 released – nearing v1.0
Sadly "effectively 0" includes a number of mass shooters.
China has ramped up construction on its new Antarctic station
I think the most relevant papers would be:

"Relational completeness of data base sublanguages"

"A data base sublanguage founded on the Relational Calculus"

SQL is most similar to the calculus "sublanguage", so that would be the main point of reference. ISBL was an early implementation of relational calculus[1].

The The Datalog Educational System (DES)[2] is the only available implementation of relational calculus (in both its forms), and it also implements relational algebra, Datalog, and SQL!

I agree, in general it's more convenient to state "what the solution should look like", but in some cases we find it easier to give instructions to follow instead. This is true in everyday conversation between humans as well. Cooking recipes are a good example - we generally want to know the steps required, but sometimes it's helpful to add a description of what the end result should be like.

[1]: https://en.wikipedia.org/wiki/ISBL
[2]: https://des.sourceforge.io/
Deming Regression
When you're ASML, not even a semiconductor downturn can dent your outlook