skysight-inc/HackerNews huggingface dataset:
Many photographers suffer from gear acquisition syndrome, GAS, and I wonder how much time was actually saved by the purchase. Did they ever share the math they came up with?
You mean you want to remove the images because you get false positives? We've thought about dataset curation and how to manage that, ranging from full on "you can build your own dataset from scratch" to "refine results using ChatGPT/V".

Deployment guidelines are a good idea! It's fairly straightforward to deploy since it's just a Python package and you can run it via CPU or GPU. With CPU we deploy using ONNX which means the dependency list is quite small (compared to torch). For example, the part on the web app which tests your model is just deployed to AWS Lambda.

Would having us host the models be useful or something worth paying for? Obviously we couldn't offer that for free, but may be able to offer an endpoint for your model that is pay-per-call.
I pitch that advice as follows:

You have two choices here.

You can be fight for what you think is right but go into that battle understanding you have a high chance of losing. It is a noble endeavor and society needs people willing to pay the personal price to make forward progress. Only you can decide if this is the hill you want to die on.

The second choice is to put yourself and/or your family first and move on. It's just a job. This second choice will almost always result in more happiness and possibly even wealth for you.

Which is more important to you? Fighting for some form of "justice" here or being happy?
Though I'm curious about the horrible industrial accident that Pigman was involved in, I think a lot of it is just bad lighting. That sun glaring through the window is going to make a tough time of it for any camera, let alone 70 years ago. It wasn't unusual to go back and "enhance" photos with a brush (hence the phrase "air brushing"), so I'm going to guess that someone tried to fix a bad lighting choice post-production.
FYI this is a terrible article.

Is essentially rambling from a random who just discovered prompt engineering and that there are Coursera courses about it and suckers buy it. Then rambles stuff about AI that everyone already has read. That AI will replace some jobs, but not all jobs, and human input is still needed.

Does not tell you anything useful, unless you were not familiar those two things existed.

Is there anyone on hacker news that doesn't already know this?

Hopefully saved you 5-10 minutes of reading.
Agree completely. What's in it for Google? Will they really make that much more money providing news, versus just cutting Canada off?
It's probably not what you are looking for but the DoD Design Criteria for Human Engineering are pretty good.
Exactly. Tell me what free will is? If it's a soul, god, etc... fine, no need to debate, I don't need to be that atheist. If it's not any of that, then why do you think the brain is the only physical object which doesn't work the same way as every other physical process in the universe?
I love how the MoE is essentially claiming that they're using spyware to save the environment!

Every day I hate our government a little more.
If you can get at them, it would be best to take out the batteries as soon as possible to minimise future damage. It might not be too late.
is there docker image to just setup and use, the installation is hard
One critical tip with these old computers: Don't just plug them in without checking first that the power supply isn't giving out bad voltages. Not sure about the Amiga specifically, but older power supplies can fail in a way that they deliver excess voltage.
> I've not heard of sustainable aviation fuel. Is it snake oil? Why wouldn't it just be "sustainable fuel" suitable for trains and automobiles?

Planes don't run on the same fuel as trains and automobiles.
The basic idea is pretty simple: it's all hydrocarbons. We traditionally use hydrocarbons grown as plants millions of years ago and stashed in the ground until we dig them up/pump out the ground. We don't put the carbon back in the ground -- it goes into the atmosphere mostly.

"Sustainable" fuels are the same thing except you grow the plants today.
Since plants growing today use carbon from the atmosphere, even when the fuel is burned like traditional fuel, you're not adding much net carbon to the atmosphere.

Everything else is mere details, such as: growing plants today is much more costly than digging up plant material from the Cambrian; the fuel has to have the same energy density as traditional fuels; it has to not gunge up the engine; etc.
My God, they’ve finally made Marcus J. Ranum’s comment reality: ‘If the designers of X-Windows built cars, there would be no fewer than five steering wheels hidden about the cockpit, none of which followed the same principles — but you’d be able to shift gears with your car stereo. Useful feature, that.’
I think there might be a range of where people draw the line between reasonable headlines and clickbait, because I tend to think of clickbait as something where the "answer" to some question is intentionally left out to try to bait people into clicking. For this article, something I'd consider clickbait would be something like "Rust std fs is slower than Python?" without the answer after. More commonly, the headline isn't phrased directly as a question, but instead of saying something like "So-and-so musician loves burritos", it will leave out the main detail and say something like "The meal so-and-so eats before every concert", which is trying to get you to click and have to read through lots of extraneous prose just to find the word "burritos".

Having a hook to get people to want to read the article is reasonable in my opinion; after all, if you could fit every detail in the size of a headline, you wouldn't need an article at all! Clickbait inverts this by _only_ having enough enough substance that you could get all the info in the headline, but instead it leaves out the one detail that's interesting and then pads it with fluff that you're forced to click and read through if you want the answer.
This is just shameful
Yeah it has become one of my favourite ways to use it.

I can dump code into GPT without even telling it what language it is and it will come up with a fix.
I'm fairly certain that you can disable the word processor, as well as a lot of the other "core" features. Or at least I'm seeing a whole lot of "disable" buttons when I look at the list of active apps for my Nextcloud install.
It's not generating the energy -- it's storing it. Fossil fuels are massively more energy dense than our current electric batteries.

Fossil fuels are literally dead animals pressurized by Earth... all that energy went into the fuel. Planets work on massively larger scales of energy than human society right now and we're using stored energy created by planets to fly.
Sometimes you want to identify things by type, and sometimes by capability. There is a time and a place for each. The article illustrates the case where capabilities were used instead of types to create complexity. It can go the other way too — web browser identification used to be based on naming the creature, but then shifted to capabilities.

Know both approaches and use the one that results in a simpler system.
Unity will either fire him or destroy themselves as a company… he’s not exactly a sharp and savvy businessman with the nuance to master the intricacies of where profits lie in a particular niche of a particular industry … he’s the replaceable cogs at desks make business widget units and if the profits per business widget don’t look good enough then you must do something… that kinda guy…
I think I make the point more clearly here [1], but the question of legitimate targets and if it is "correct" to damage my computer does not turn on it having on free will or not. There are questions of if it is satisfying. If it is a bad habit that could become maladaptive.

Nobody can seem to articulate how free will is central to the "legitimate target" question.

https://news.ycombinator.com/item?id=38461744
A general-purpose organic gel computer that learns by itself
In the other hand it’s not that simple to catch up. Tesla has a huge advantage in costs at the moment and the non-chinese don’t seem to be able to compete. Supply chain contracts of batteries and new raw materials, software, efficient electric engines, aerodynamics, battery management, software, charging stations, vehicle platform design, cheaper manufacturing, trained workers, experienced engineers…

There are a lot of elements and some will fall because they waited too much. VW for example is having huge delays due to software and also prices (even though in China they have no problem selling the IDs for half price than in Europe…)
Are you aware of the system I linked above? D.D. Johnson has a blogpost https://www.danieldjohnson.com/2015/08/03/composing-music-wi... with plenty of examples of what an instance of his model can generate. It may not be all that "good" in an absolute sense, but it's at least musically interesting, the opposite of elevator music. (There's also a proprietary model/AI called AIVA about which very little is known, but it does seem to be bona-fide AI output - albeit released in versions that have been orchestrated by humans - based on what it sounds like.)
Tutorial: Save 99% (Yes, 99%) Yearly by Managing Logs the AWS Way
doesn't really have to worry too much about whether their scene makes volumetric sense beyond what the camera can see

This is absolutely not true. Typically there is lidar for an entire set and the camera and the set lidar need to fit together and make sense.

but task them with creating a whole virtual set that links to the practical set and the actors are acting within, and now questions like the realism of the whole space, light sources that impact the real world, etc. come into play.

This is what camera trackers do. Lights are done by the lighting department.

Game engines have been modeling whole spaces that can be inhabited at any point in the space for ages longer than VFX tooling pipelined for post-production has.

Photogrametry is 25-30 years old and virtual sets have been used for a very long time on green screens.

I'm not sure what point you are trying to make at this point, but the things you're saying aren't true.

Don't mistake the attention that the virtual stage stuff gets as being the same as the use it gets. The enabling technology is the large high resolution screens more than anything and the point of using them is more about reflections, refraction and to a lesser extent hair and backlighting that are difficult to make work on green screens.
Robert De Niro accuses Apple of censoring awards speech
the yuppie rich in sunny states have their EVs already.

the poors need reliable transportation to get to their workplace to feed their families and pay rent
I don’t think I’ve heard any legal scholars claiming that Jarkesy is limited to just the SEC. Any ruling supporting Jarkesy would likely reshape ALJ’s altogether which could have implications beyond just the SEC unless you think SCOTUS will limit it just to the SEC which would be a strange move (but I guess could be something SCOTUS does to limit the impact of changing how government operates).
Here's the deal, if the court screws up the 2 other branches are going to diminutize them. They have been put on notice. I don't know why we respect their judgments in light of their rampant corruption.
We are .NET shop (server side at least), so the opportunity to find something that works with .NET was a huge plus for us. I heard similar comments made by Java developers, in regards to SK for Java.

I have been following Semantic Kernel since April and I have been focused on Kernel Memory recently.

Having to learn LLMs, how they work, prompting, vector databases, RAG, tokens, chunking, etc. is hard enough: if we had had to switch to Python entirely it would have been too much to handle.

In other words: while probably everything we need is out there (and oftentimes in more mature forms), we cannot feel comfortable by also adopting an entire new way of doing basic things like microservices, having a REST/GraphQL interface, and to re-learn how to write code and which frameworks to use...

We will use Pyhton, too, and the fact we can have C# and Pyhton in pipelines will allow us to scale our development team with people who are familiar with Python.
So once again, a big plus for a small .NET shop.
That was the primary reason SK was picked.

The fact SK is highly modular (i.e. it allows to switch models and model providers, including self-hosted ones, it allows for custom connectors, such as the one to Elasticsearch we are building) was the second reason.

---

So, at the beginning (up to August) we made sure all the things we needed from SK work.
They did, for the most part.

We can use custom-embeddings/models from HuggingFace, we have access to LLama and then both OpenAi and the Azure OpenAI right now.

My biggest concern was related to pre-filtering large quantities of data, before starting to do semantic searches. The approach SK used was a bit too restrictive and over simplified.

So I started looking into solutions, and now I found out that what I intended to do (filtering wise) is very similar to what the KM team is doing already, so I was happy to see that my problems were being addressed somehow, and we adapted accordingly.

I am trying to see how well KM helps us save reinventing the wheel, and so far I am optimistic. The fact I have access to the KM code and can easily debug it in C# makes us confident we can find ways to get around (or fix) issues and see what it's truly doing.

Finally, the Semantic Team is incredibly active and responsive. They host weekly Teams meetings with the community and they are very dedicated to make this work.
The amount of blog posts and YT videos they produce is quite large.
What the options should be:

A) Pay the 10 euros a month, no ads, no tracking whatsoever

B) Don't pay the 10 euros a month, get ads, but no tracking if you don't EXPLICITLY consent to it. Ads != tracking, they can exist without invasive tracking.

C) Don't pay the 10 euros, get ads and assuming you don't care about tracking you consent to it. You get more personalized ads in exchange for this, which for some people I guess is a good deal

Instead, what's happening is:

A) Pay the 10 euros a month, get no ads, but still get tracked (let's be real here, it's Meta we're talking about)

B) Don't pay, you have no option but to consent to being tracked and being shown ads. This is what's illegal. If they don't want users to have a chance to voice their consent, then they should close down shop in the EU and only offer their services to paying customers, but we all know Meta doesn't want to lose out on the 2nd largest market in the world.
There's a docker section
Good guess! Yes we are working on GaN next in ammonothermal growth.
For people not in HR (human resources): ATS seems to be short for applicant tracking system.
I think you're talking about a different Q.

https://en.wikipedia.org/wiki/Q_source
This is not a criticism of this software or the author as they have no personal responsibility for the larger system they operate in, but sometimes I see something like this, and I just think we live in a dystopia. Have we gotten to the point that jobseekers and employers are using adversarial AIs against each other in some attempt at optimization? What are we doing here? We seem to be on the path to this stuff oozing its way into every aspect of society only to make things worse.
Right, but sheet music is ubiquitous in countless musical contexts and there's very little attention to it from the ML side. Sheet music is somewhat arduous to create and there is definitely room for a lot of automation and ML could help out a lot. I experimented with a tokenizer / GPT-2 (decoder-only) model for MusicXML (https://github.com/jsphweid/xamil) that is able to generate single staff music somewhat coherently. But it's just a first step and I don't care about generating (EDIT: hallucinated) music. Ideally we could add an encoder part to a model like this that takes in MIDI tokens and spits out sheet music. But I haven't gotten that far and don't have the ML chops to do it at this time. But it shouldn't be impossible.
Agreed, GP is way too optimistic. Airplane manufacturing peaked in the late 1970s with over 18,000 planes manufactured a year. These days the numbers are under 3,000 planes a year!

Switching to a new power source isn't going to change the fundamental economics of airplane manufacturing. There just isn't enough demand to reach any kind of scale and it's not the gas prices - manufacturing collapsed to its lowest point in the early 1990s before gas prices went out of control.
Show HN: Domino – open-source GUI platform for creating data and AI workflows
Domino is an open source platform dedicated to visually creating and managing data and AI workflows. The goal is for anyone to be able to effortlessly construct complex workflows by piecing together modular operators, no coding required! Additionally, Domino provides developers with a standard to bundle their Python functions into self-containing, reusable, shareable modules, that can be readily incorporated in the visual workflows.

We've been working hard on this as a side project for a while, now we believe it has great potential to be used by the data / ML / Python community!
You can talk to ChatGPT on your phone and have it play the answers back to you.
And who are those people who say that?
Same.

Where I landed is that it's simply not worth the risk given the relatively small amounts involved. IIRC I bought an off-brand toner once -- the smell when printing was definitely stronger. Replaced with a genuine toner quickly.
the privacy concerns are really something. Background emission is pretty much as abundant as ambient light these days, at least within the radius of day-to-day living. even in less developed countries. Western signals intelligence gathering already reached critical mass, the decision to deploy dragnets collecting the tons of data we all produce every day, has already been made.

Just frightening to think about the never ending increase in detail and variation when it comes to the data to be collected.

but look, 300 bucks for the privilege of inviting a self-propelled LiDAR scanner, complete with internet connection and non-optional user registration, into your domicile! It can vacuum too? Sound like a deal to me!
I thought it was Kap for a moment https://getkap.co/ similar name, similar product (but that one is ready to use).

Also a bit confused as it seems there is nothing there besides an idea and a landing page.
Is this related to Reagan firing over 11 thousand air traffic controllers?
Good point, I was imprecise.

I should have said that no discipline is required in C++ to obtain a binary.
Because we consider them a plague just be their sheer number (aka how easy they reproduce)

If your species outnumber what your species consider a plague, there is a high chance that your species it's the bigger plague.
My mid 90s grandmother is waiting to die because she’s afraid of hell if she kills herself. She has family around her, she just doesn’t see any reason to stick around. Hard to walk for her but still can, not a burden at all, just nothing left she wants to do. My father, her son, early 70s divorced twice who lives with me (laid off recently, likely never to work again when that was his entire identity) is right behind her.
Show HN: A collection of AI Apps built with open-source tools
Hi HN, we're Ashpreet, Eli and Yash and we're excited to share Phidata: a collection of AI Apps built with open-source tools.

While helping teams build AI products, we built templates for spinning up LLM Apps quickly. Today we're open-sourcing our templates for building:
- RAG LLM Apps
- Autonomous LLM Apps
- Multimodal LLM Apps
- Data Engineering LLM Apps

Templates are built with FastApi for serving, Streamlit for prototyping, PgVector for vectors and PosgreSQL for storage. Run them locally using docker and in production on AWS - with 1 command.

- Github: https://github.com/phidatahq/phidata

- Documentation: https://docs.phidata.com

If you're building an AI product, please give it a try and share your feedback about the stack, documentation and developer experience. Your feedback will help us make them better.

PS: For a limited time, GPT-4 access is also included with these templates, so you can run them without an API KEY. This is because we provide access through a proxy for our customers but haven't had time to build in authentication yet. While we work on auth -- GPT4 access is included so give it a spin :)
There's nothing inherently wrong with `is_stubborn` or `is_short` flags in your schema, if that's the thing that actually matters.

But the `if` blocks given as examples in that post make it clear that there is business logic that cares about something that is higher than just those booleans – logic that is based on some other identity or flag.

An `is_donkey` or `is_mule` flag isn't necessarily any better – if you're determining e.g. whether or not the animal can be used in dressage competitions, a `can_compete_in_dressage` boolean would be better than looking for `is_horse`, or God forbid `!is_short && sound === 'neigh' && !is_stubborn`
They are lowering prices because demand is falling off. And it's not just one price reduction. They have done multiple at this point. It's one of the worst positions for a company to be in.
ATS == Applicant Tracking System
The U.S. Government UFO Cover-Up Is Real–But It's Not What You Think
I'm from and worked at the falls as a teenager. This was one of my favorite stories to tell to tourists because it's just so interesting. The Falls are more important than one may expect to NY since we generate a lot of hydro-electric power. It really is a beautiful piece of nature that you take for granted when you spend your whole life around it.

Anecdotally, if you visit, Canada gets a nice view of the American Falls and their surrounding tourist attractions are nicer. The American side gets real sketchy if you go about seven blocks up from the park.
NPM Install Rust
Heya all!

In partnership with a few different customers, we were able to demonstrate some huge cost savings. We'd love to hear if there were other things we should include to make it easier!

Disclosure: I co-founded Bacalhau
I love GiveDirectly. If all of EA was simply advocating for unconditional cash transfers, I’d be a fan. But on the whole, it’s far from that. Cash is no longer cool, now it’s AI and existential risk, tomorrow it’ll be something else.
archive.today has a cached version.
> The new generation was done by kids who are straight out of school who didn't know to ask

I wonder how many of those kids would, thirty years later, go on to complain about kids these days.
Do they have a noscript/basic (x)html portal?
I think Microsoft would love to own Unity. Many of their game studios use it, it's C# (with a promised migration from Unity's ancient hacked Mono to modern .NET), they don't have their own public game engine. It would probably be the best outcome for everyone.
NPMprune: Remove unnecessary files from node_modules to optimize storage
A couple of years ago I had the opportunity to walk on ice that was similar in a different region. It was fascinating to be able to see down through the water, and I realized at some point how unusual it was to have that many days below freezing, that it could be safely walked on, without any snow to cover the lake.