skysight-inc/HackerNews huggingface dataset:
Sadly, and often wrongly, many people seem to consider GitHub easier to manage or more dependable than a list on their own web site.

Regarding the lists themselves, it's a straightforward strategy against enshittification.

Web search tends to bury valuable content under heaps of worthless content, nowadays mostly "AI" generated content, so dealing with a person (even if their list is somewhat low quality or not aligned with your needs) gives a lot of signal to noise improvement over the aggregate output of the SEO/advertisement industrial complex.
It’s going to be Roko’s Basilisk who is angry at me for making fun of cryptocurrency on HN and therefore delaying the Buttcoin Singularity by 3.7 minutes.

As a punishment I’ll have neutron star hot NFTs poked into my virtual eye sockets forever. But in between the tortures, the merciful Basilisk will grant me a glimpse of Proxima Centauri taken by its interstellar drone armada.
Do you have, or live with children?
Show HN: Generate Admin Apps From Your Database Schema With One Command
You don't even have to prompt it, it will match your tone.
Interesting topic! I think old domains will be very useful for SEO purposes.

You should consider adding a demo video or something where I can see how this works!
Definitely agree with point#3, people tend to underestimate how much time is slacked off in office.
Hey HN community

I just build an AI tool to generate micro SaaS ideas in seconds! You just need to give the AI one word and select 1 from 30+ topics, and the AI will give you 3 ideas for your next business.

If you don't want to put in your own word, you can also use the "generate random SaaS" button and get some random ideas from the AI.

I would be really happy if you give me some feedback, this is my first AI project! :)
It should be obvious that not liking something does not implying being boring.
I've heard this happening for a local company with about £9 million with a similar email scam. Supposedly, the person who transferred the money was competent and clever. With that amount of money, saying you don't need to ask questions, in part, is very convincing.
The comment I responded to said:

> The only way to win here is to make it expensive to produce lies .

But which authority can be trusted to provide truth, in order to have a metric on what a lie is? Which authority is even unbiased and impartial?
> Uber migrated all its payment transaction data from DynamoDB and blob storage into a new long-term solution

No way they have 1 trillion transactions right?
Secret doesn't mean illegal. Unless something is illegal, this guy doesn't have any input and it's up to the auditor to verify the legitimacy of the transactions.
Yes, you can also bludgeon someone to death with a rock, but that doesn't mean it's a good idea for everyone to have nukes.
Network Lab with QEMU
What I find strange about this is you dont need it to be "deepfake".

Just an inside job.

If a large company allows a single employee to transfer millions to a new bank account/vendor that has no history, on "their belief" the instruction came from an approved person (i.e. their boss, CFO etc) - that company has major governance issues that are not related to deepfake.

Imagine the more simple scenario - an employee transfers millions, knowingly fraudulantly, to some people they are working with. They then simply supply some "deep fake" pictures and a story how it was an accident - and boom; you walk away with millions.

Checks and balances exist for many reasons - deepfake doesnt overcome those by itself. This company is just missing basic steps that would have protected itself here.

edit: in fact- its even more obviously some inside job; put the deepfake aside for a moment. How was the meeting even booked? Their PR person said "none of our internal systems were compromised". So this meeting magically appeared in someone's calendar? Using their internal video system (Skype or Teams or whatever). And the criminals knew to target this person, with enough knowledge of random office people to deep fake them? Come on...
If only, you know, had a simple and efficient way to authenticate messages and emails...
Looks really nice and quite useful! You should launch it on Peerlist
Definitely, good luck!
Back when I had a really nasty run-in with poison oak, my friend’s father who was a doctor suggested the hot water trick. AMAZING. His explanation was that it depleted histamines that caused the itching. Appears to bear out:

“ a poison ivy rash (like any other allergic reaction) is caused by the body releasing the chemical histamine to the affected area as part of your immune response. Heat will stimulate the production of histamine, and although this creates an unpleasant itching in the moment, the heat will eventually deplete the affected cells of their histamine, which can provide up to 8 hours of itch relief afterwards. This can be achieved by aiming warm water at the affected area, and slowly increasing the heat to the maximum tolerable temperature until itching stops.”

https://teclabsinc.com/why-you-shouldnt-use-hot-water-on-a-p... (article title referring to not using hot water when washing off oils after initial exposure)
> The five largest weapon manufacturers are all from the US

The question is not the absolute value of exports, but how much is exported to problematic regimes, and how this compares to the other countries I mentioned.

The US's most problematic exports are to Saudi and Qatar - due to the likely human rights violations in Yemen - and Israel - due to the same in Palestine. Collectively, in 2022 this was around £3 billion in arms exports [0]. That's the most recent data I can find. The vast majority of the remainder is to countries like Japan or Ukraine, who's military activities are much more justified.

Iran's most obvious problematic arms exports are to Russia, which is prosecuting an illegal invasion of Ukraine. It also exports arms to Sudan and North Korea, and funds Hamas in Palestine and Houthi rebels in Yemen. A major difficulty here is that international sanctions force a lot of the deals to be done covertly. Russia, for example, is struggling to pay for anything in cash and is known to have resorted to paying in gold. However, leaked documents from hacks into the Iranian Revolutionary Guard servers suggest that Russia has recently paid around $1.8 billion for Shahed drones alone from Iran [1]. I admit that leaked docs are hardly the most verified source of information, but if they are anywhere near accurate, then Iran is absolutely funding global atrocities at a rate comparable to the US.

> The US has a rich history of propping up extremist to take over democratically elected governments

Agreed, but look also at Russia's activities in Afghanistan, Belarus, Georgia, Chechnya, Crimea, Moldova... . Look at what China has done to Hong Kong, and how it funds oppressive regimes in Latin America and Africa.

[0] https://www.statista.com/statistics/248552/us-arms-exports-b...

[1] https://www.forbes.com/sites/erictegler/2024/02/07/375000the...
What's wrong with good ol' private keys?
> We are structured as a public benefit corporation formed to ensure that the benefits of AI are shared by everyone; safety is our mission and we have a board structure that puts the Response Scaling Policy and our policy mission at the fore. We have consistently communicated publicly about safety since our inception.

Nothing against Anthropic, but as we all watch OpenAI become not so open, this statement has to be taken with a huge grain of salt. How do you stay committed to safety, when your shareholders are focused on profit? At the end of the day, you have a business to run.
1T "records". Any given transaction can have N records. I'm assuming this includes Uber Eats as well.
Right, the above comment neglects to differentiate whether the exports are to countries that use it in a completely justifiable manner.
Aren't the Teslas themselves a much more attractive and viable theft target? Once you've protected the parking lot from car thieves I doubt copper thieves are a major issue.

I started some envelope math expecting this to be silly but I think the capacity might actually be significant?

In the past six years grid battery storage capacity in California increased about 10,000 MW, or 100,000 Teslas (using a high approximation of .1 MW per Tesla). Tesla has around 50,000 Teslas in inventory worldwide.
When I first visited Egypt about 20 years ago, our guide reported this as common knowledge.
I guess a scammer can sell it as "we're buying something significant [another company?], this will affect our share price if the info goes out, so you need to sign this NDA and keep this quiet, you're only 1 out of 10 people who knows this...".

They could also sell it as payment for an e.g. consulting firm for the above secret deal...
Well, ackchyually...

If you want to get real anal about it the API should probably called URI instead of URL. The latter should describe where to access the resource, not just how to identify it, and to truly be able to do that you must also know something about the scheme.

At the very least you must know whether the scheme imposes further restrictions on the individual parts of the URI, otherwise you can only determine whether it's a valid URI but not truly say whether it's a valid URL.

In practice no one really cares much about the distinction between identifiers and locators, and arguably it was a mistake to try and make that distinction in the spec. But it is in there after all and I find it a bit ironic that the authors of the JS spec chose to ignore it. There's probably good reason for it, but still.

Ps. I'm real fun at parties!
So it sounds to me like they knew:

1. Various contiminants make water taste bad. 2. Bad tasting water is unhealthy.

It's not a full theory of microbiology of course, but it's something.
I haven’t achieved shit and I’m perfectly happy with that. I have a decently (maybe top 10%) paying job, not a career, and am trying to spend as much happy time as I can with my kids. No one, except my family, will remember me. So what?
Checked exceptions have been tried in Java, and were universally hated, mostly for poor ergonomics.

A very similar thing, the Result type in Rust, does pretty well. (Much like Maybe / Either do in Haskell.)
Maintaining a full third image pipeline and bug support it quite a big ask for a few % of superiority.

For huge majority of (even picture heavy) websites you won't get more than 10% of loading time reduction even in the cases where JXL most superior.
The blog post says billions of transactions and trillions of indexes (or rather index entries I presume), if I remember correctly.
There are many secrets in business, especially in realestate.

Found out, from some "unnamed source" that there will be a new bus stop and a new aldi store across the street from a building where some apartments are for sale? Don't mention it to anyone, secretly buy them, because their value will go up a lot, and do it discreetely, so other companies don't notice.
Good guess, that definitely could have been what happened.
The scammers usually have a slightly unusual, but plausible (and urgent) story.

For example, that they've just closed a deal to buy a startup - a negotiation which was of course conducted in secrecy. It's a startup in another country, which is why we're all out of the office. Timezones are why you've received the request outside of normal working hours. And we've got to, um, close the deal so we can announce it outside of stock market opening hours, for both countries. To close the deal we've got to pay 10% of the 250M purchase price upfront. If you can't get this done within 2 hours the deal will fall through.
What are your favourite implementations of a GPT? I like a lot the video series by Karpathy.

Anyway, I'll take a look at this too, not sure if it has inference and training. Having just inference would be a disappointment.
It's been a lot of chicken-and-egg, but C++ modules finally have momentum. FWIW, Clang does support `import std` with `libc++` now. While I've implemented CMake support for modules, I've worked on laying the groundwork for compilers to be able to provide the required information (P1689) and I've been involved in advocating support from a number of build systems (e.g., Bazel, xmake, Meson, Tup). Some have been more receptive and made progress; others have had less.

Yes, it's very late, but progress is being made.
Bridgewater Founder Defends Unique Culture at Largest Hedge Fund (2016)
That's no how science works. If we only use the "evidence based" approach, nobody would had been doing research on atom theory for example.
>not a great engineer, more of a hobbyist who got lucky and quickly reached the limits of his knowledge and ability with the original Apple.

I suppose you feel you are a better engineer, no? It's good to see hubris is still alive and well in tech.
> Conversely, if SpaceX and Blue Origin can’t make cryogenic refueling work, then NASA has no plan B for landing on the moon.

If SpaceX and Blue Origin can't. Then Nasa will find someone who can. Cryogenic refueling is the projects real engineering target. Landing on the moon in the twenty twenties just isn't that impressive anymore.

The Artemis program is nominally about going to the moon, but it really isn't. It's about building and living in habitats beyond low orbit, in orbit refueling, building habitats on the surface of another planetary body, and obviously in the future in situ resource extraction and surface refueling.

If the mission was to land on the moon, a carbon copy of the Apollo program would do. But the mission is to prove they can do what it takes to go to and return from Mars.
Getting a suggested command from a chat bot is not a terrible idea.

Directly executing commands given by a chat bot on your machine it without inspecting it first is pure madness.
To make it physically possible, makes subliminal. No faster than light travel.
> Okay but why does the mission exist?

Politics.

> People keep going "the mission is go to to the moon". Is it? Why are we doing that?

Again, politics. The US has to assert dominance in space and cannot allow parties like China to one-up them. It's also a great way for political leadership to score points with the public. A more rational approach for establishing a permanent human presence on the moon would have included a thorough requirement analysis like Apollo did. Just FYI, SpaceX to this day (i.e. less than 12 months before the initially planned first landing!) don't even known how many tanker launches are required...

> How much do the "proven technologies" cost?

Less than developing a set of radically new systems from scratch - if done correctly (i.e. no cost-plus contracts). Some ideas, just for pondering:

* Falcon 9 is a reliable, proven, and partly reusable system. Its capabilities are sufficient to put crew and cargo into LEO

* FH is a proven and partly reusable system. Its capabilities are sufficient even for Lunar missions.

* Designing a mission around these existing capabilities would eliminate the risk of developing two completely new rockets (SLS and Super Heavy/"Starship") while allowing for testing vital equipment basically from day one (i.e. autonomous docking with fuel tanks, long term fuel storage in orbit, etc.)

> Are they reusable?

There's no reason why a moon lander and transfer vehicles shouldn't be reusable. This is not a question of the engines or fuel used. Just a side note: the "Lunar Starship" isn't going to be reused either on its first missions. This is a medium to long term goal that hinges on quite a few factors (like the feasibility of long-term cryogenic storage in space).

> one might look at how the long term storage and handling of hydrazine has worked out in enclosed environments on Earth

First of all, the environments are not the same - i.e. no unprotected humans will ever be around the fuel tanks or perform hazardous activities like smoking near them or operate valves. Secondly, in stark contrast to cryogenic fuels, we actually do have plenty of data points for long term use and storage of non-cryogenic fuels in space. Most satellites used hydrazine or its derivatives for station keeping and manoeuvring in deep space missions for decades. This is nothing new whatsoever.

On the other hand no one has ever successfully performed a vehicle to vehicle fuel transfer in space, let alone cryogenic fuel or long term storage of said fuels in space. This is new territory that doesn't even have all of its physics fully understood.
There are popular embedded platforms like STM32 that don't have hardware double support, but do have hardware float support. Using double will cause software double support to be linked and slow down your firmware significantly.
Oh really? Or is it just an inconvenient truth?
ffmpeg works really well for this. I have also been making time-lapse movies for over a decade, starting with using just Quicktime Pro 7 to combine the images into movies. Later using various other tools. Now I also use ffmpeg, and want to keep track of exactly how each movie is put together so looked for a way to script each movie. Now I use ffmpeg-python (not a lot of recent updates, but just works) to steer ffmpeg, with my own time-lapse specific Python package https://pypi.org/project/time-lapse/ to assemble the movies, and for each movie I have a single script which describes which frames are part of it and how they are combined into a movie; https://github.com/153957/time-lapse-scripts
I am quite happy with the setup, making it easy to recreate movies in the future from source, but at higher resolutions or different codecs.
Why? I never understood the objection to checked exceptions. It seems to me they would give me exactly what I want! (Granted, I'm a Haskell programmer, not a Java programmer.)
> Isn't the bigger deal the fact that we literally have "Her" as a technology

Except we literally don’t. The AI in “Her” was much more capable than ani LLM today.

Also, that movie was more of a cautionary tale than something to aspire to. The Torment Nexus strikes again.

https://knowyourmeme.com/memes/torment-nexus
Congrats to anyone who worked on it! However, I'm guessing the cost of just running this team be quite large and not significantly different from the savings (6M), and add on top of it the overhead of maintenance. Payments would not likely be a long-term bet as well, so kind of interesting why teams take up such projects ? Is it some kind of sunk-cost with the engineering teams you already have?
Logic gates using liquids (2019)
My Inky Dashboard (2022)
I’m working on a specialized data store[1] that would be perfect for this kind of use case (large “cold” storage with indexing). But I’m having trouble finding potential customers. I’ve tried Google search ads but got 99% spam and 1% potential investors, but 0% potential customers. If anybody has any ideas I’m all ears.

1. https://www.haystackdb.dev/
Google Duplex: AI System to Accomplish Real-World Tasks over the Phone (2018)
> Payments would not likely be a long-term bet as well

How so? It’s a pretty ubiquitous problem…
So they saved $0.000006 per record, it's really about the little things...
Disappointed there wasn't a sequel so they could've called it Phantasmagorier.
CrayEye now supports local/FOSS models – multimodal vision multitool
I (or more accurately A.I.) made the FOSS mobile app https://www.crayeye.com to make it easier to experiment with multimodal vision prompts augmented by device data (e.g. location, date/time).

While this tool still uses GPT-4v / GPT-4o as its default, it now supports configuring custom engines (via OpenAPI spec) which can point to any API/model - this has been tested using Llava (and Bakllava) running locally via Ollama.
Don't see how Emacs fits into this. At least I can sort lines there without another proprietary addon.
Diaper bank in Fairfield will surpass 1M diapers given to families
Based on your post, I was curious how long the stuff I write will be around for. I write software for cars, so that means a lot of legacy stuff, I've seen code written by coleagues hang around in the next generations of product for about 10 years. Then you have the life of the vehicles that varies greatly, but at least _some_ of the vehicles will reach 25 years, so I'd expect at least some of the SW I write to linger around for ~35-ish years. Not bad.

A bit unsettling when I think about the varying quality of software though.
Repost of https://news.ycombinator.com/item?id=40389199
Majority of New York City Parks Now Have Diaper Changing Stations
The estimate sounds suspiciously similar to just the data storage component of DynamoDB. 1.7PB of data and indexes is about $5.1m/year in DynamoDB storage at list.
I wonder if they considered https://tigerbeetle.com
I was told verbatim "we don't care about fact checkings, we have had enough of it and you always bring them up" in a thread about covid.

People like that are not in the fight because of some facts they disagree with, it's about raging against the Man for other reasons.
So far the cost is at infinity dollars per ton, give or take a few billion.

The focus on launches is because a single launch failure has the ability to make all the rest go to waste.
Duplik8s: New kubectl plugin to duplicate Kubernetes resources
Google own vast network infrastructure. The day Google acquired YouTube (I was there) they discovered that YT was on the verge of collapse and would run out of bandwidth entirely within months. There was an emergency programme put in place with hundreds of engineers reallocated to an effort to avoid site collapse, with the clever/amusing name of BandAid.

BandAid was a success. YouTube's history might look very different if it wasn't. It consisted of a massive crash buildout of a global CDN, something that Google historically hadn't had (CDNs aren't useful if everything you serve is dynamically generated).

One reason BandAid could happen was that Google had a large and sophisticated NetOps operation already in place, which was already acquiring long haul unused fibre wavelengths at scale for the purposes of moving the web search index about. So CDN nodes didn't need to be far from a Google backbone POP, and at that point moving bits around on that backbone was to some extent "free" because the bulk of the cost was in the fibre rental and the rackspace+equipment on either end. Also it was being paid for already by the needs of search+ads.

Over time Google steadily moved more stuff over to their infrastructure and off YouTube's own, but it was all driven by whatever would break next.

Then you have all the costs that YouTube has that basic video sites don't. ContentID alone had costs that would break the back of nearly any other company but was made effectively mandatory by the copyright lawsuits against YouTube early on, which Google won but (according to internal legal analysis at least) that was largely due to the enormous good-faith and successful effort demonstrated by ContentID. And then of course you need a global ad sales team, a ton of work on ad targeting, etc.

This story explains why Google can afford to do YouTube and you can't. The reality is that whilst they certainly have some sort of internal number for what YouTube costs, all such figures are inevitably kind of fantastical because so much infrastructure is shared and cross-subsidised by other businesses. You can't just magic up a global team of network engineers and fibre contracts in a few months, which is what YouTube needed in order to survive (and one of the main reasons they were forced to sell). No matter what price you come up with that in internal booking it will always be kinda dubious because such things aren't sold on the market.
The Innovators at Huggies Announce an Innovation to Take on Diaper Rash
Still, they have 10B rides in 2023 including Eats, say 75-100B since inception. What would be a record such that each transaction needs 10-15 on average?
OREGON 77 – The Oregon Trail in FORTRAN 77
Original story looks to be https://www.uber.com/en-AU/blog/migrating-from-dynamodb-to-l...
Scaling up in-person fraud is also much, much harder.
Aaaaaaaaaa Research