skysight-inc/HackerNews huggingface dataset:
It isn't nobody, as evidenced by the continued existence of new-in-box original iPhones, which sell at auction for nosebleed prices.

The trick is to identify products which will be considered iconic, while they're still on the market. This is crystal-ball-gazing, and that kind of game isn't for everyone, but it only takes one smash hit to make a profit on the total investment. There are certainly people who do this as a hobby / side hustle.
which is about brand marketing, which is about making more money. without the differentiation of the app store, they are that much closer to being android.

> Apple's product is privacy

that's a large component of their brand, not their product.

for contrast, signal's product is privacy. (note: i'm no fan of signal)

consider that the facebook app is allowed, on the first party app store. i'm failing to see how the app store gates privacy.
You may enjoy the “sum” metric obtained by adding the three scores together: https://zlbb.faendir.com/categories/SUM
> The practical issue is t hat Waymo uses more advanced sensors than Tesla vehicles use. Partnering with Waymo would mean telling Tesla owners and Tesla shoppers "your vehicles won't be self-driving."

Maybe, but the Tesla Taxi seems to be a separate, non-consumer vehicle, more like what Waymo is doing.
It’s not a request, it’s a rhetorical question with the same intent as the comment it’s responding to: signaling outrage.

Both are self-serving and harmful to the actual cause. Despite being on the same side of the issue, neither actually affect any change. Even worse, they both probably feel like they’ve done something to help by posting a comment on a social media site and are now less likely to take any real action
Agreed, you raise some really good points. Thanks!
I worked at one of these companies catering to a large network of dealerships. Quit after 1 month. The one company I worked at was outsourcing all or most of the development work with an onshore mostly as management and a couple of devs in the US.

It was a massive shit show.

- Tests? Useless and garbage. Only used to pump their code coverage reports to show to management

- Design? Non existent and a hacked together code base across a half dozen low bid contractors, probably junior engineers at best

- CI? Dedicated test environments? Nah, costs too much money. Just “use docker to test on local and deploy directly to prod”

- Documentation? Besides very basic instructions on how to deploy locally … good luck

- backup and recovery? Nah who has time for that. Just work on the features that {big client} wants

- code quality? I wish there was a “god” class, but in this code base they managed to create a universal class or “macro service”

Management was a mess. Just a mouthpiece for sales or executives. No backbone. No vision. Just “alright we just need to get through the quarter” mentality.
> Not really,

Yes, really, it is.
Blame sales and marketing
I pay $173 per year for JetBrain's 'All Products Pack'. Considering the salary I make as a software engineer, and the quality of the tools JetBrains provides, this is a great investment. Rider works flawlessly for me, far better than VS.

As a side, it always strikes me as ironic that software developers are paid extremely well and yet hesitate to pay even a modest fee for the tools that enable them to do their job. Most "free" tools are not free - someone was paid to create them. IMO whether engineers are on a stable payroll is a differentiating aspect to why some tools succeed and become widely used and some don't. In the case of dev tools, our tech corporatocracy MAMA (Microsoft, Apple, Meta, Alphabet) pay engineers to make products like VS Code, then release for free. This is for eyeballs of course, because charging for the tools would get them nothing in comparison to their main platform revenue streams, which benefit hugely from the network effect.
Sidenotes can't be on the side on a small screen. You have to put them in between paragraphs, at which point they stop being sidenotes and just become part of the text. Then, how do you handle them in your RSS feed? What happens if the reader clicks on the reader view button in their browser?

Footnotes always remain footnotes, regardless of all of that.
Was going to say, ghost-car sounds familiar at rental places.
> This is amazing.

Just another day on your average know it all message board.
I'm not entirely sure which one I have, since I seem to have misplaced it, It's a PA-2X, where I'm not sure what the X is. By "cylindrical dies" is it referring to the shape of the inside of one-side of the die? What's the alternative?

I do recall that the design of the one I have, has little protrusions on one side of the die to encourage the wings to wrap under, so that they form a sort of m shape, with the ends of the wings "pressing" into the wire's sheathing for a nice grip. They cost somewhere in the region of £40-60 but I don't recall exactly.

I need to go and find out why they're not on their hanger on the pegboard I'm looking at, where they should be.
Maryland student fights AI cheating accusation
The Efficient-market Hypothesis has been proven to be true only if P=NP.

https://arxiv.org/abs/1002.2284

What's your bet on the latter? I'm... skeptical.
Diagraming sentences in the 19th century
A key thing here is that you can train the ability to visualise. You probably don't spend very long per day trying to picture your friend's face with the glasses and mustache, but if you did, you'd find that over time, your ability would increase.
It does. My last car buying purchase (2023) involved Internet research and then on multiple occasions on the call to the dealership I heard: "Oh we don't have THAT specific model on the lot but we have something similar".

Even in person, the people in the office would look at inventory on the computer but then have to send someone physically out into the lot to verify they did in fact have what "the system" said they have.
> I disagree with your assessment in all cases. You simply do not know what you were talking about.

No need to be rude.

> Standardization efforts and backward compatibility assumes a well-behaved application. If you explicitly depend on really weird hacky stuff like abusing corner cases in the object file format, you risk breakage and you will break.

Sure, but if you get the standard to include your use then it's not a hacky edge case anymore. Ex.
https://justine.lol/cosmo3/ "POSIX even changed their rules about binary in shell scripts specifically to let us do it" > https://austingroupbugs.net/view.php?id=1250
Rising health care prices are driving unemployment and job losses
If someone spikes the punch with alcohol that's bad. If everyone is consenting: drop away. If they don't consent please leave them alone.
I'd assume that OpenAI is simply doing Microsoft's bidding, and is a way for them to indirectly acquire companies with very little to no scrutiny.

Continuation of the existing product isn't usually of concern in these cases, and appears to be very common practice even for companies that are otherwise well known for almost never deprecating their products (e.g. various AWS acquisitions.)
Show HN: I made a pointless button website
All you can do is press a button. That's it, nothing else.
Courtesy of:

- https://news.ycombinator.com/item?id=40764903
To be fair, the new test footage that Netflix released (into creative commons even) explicitly tries to protect against that to some degree. Some shots in the new footage use HDR to crank brightness up to a requested 4000 nits on the subject, while still having a mathematical-black background. (You can even compare the raw *.mxf to say, YouTube's 1080p version of it, and see the difference.

Variety's writeup has a bit more technical detail on it - https://variety.com/2016/digital/news/netflix-meridian-imf-t... .

It's pretty clever, many of the shots seem clearly designed to stress-test common encoder issues and failures -- they put thought and care into it, and it shows.
I'm not in love with dealerships, but one thing that a dealership does is provide final QA on inbound cars. They don't catch everything, but they do catch some of the things that slipped through QA at time of manufacture.

It's somewhat telling that Tesla has a bad reputation for delivered quality, and they don't have a dealership network that does final QA.

Of course, dealerships also like to install unnecessary options while they're doing the other parts of dealer prep, so it's a mixed bag.
I just wonder why it matters to you.
The average researcher probably makes under $6 million in their lifetime, before tax. That money is probably never being paid back unfortunately.

The threat of permanently withholding future funding is probably enough to curb casual fraud.
Cosmo author here. We used to build our code with musl-cross-make. Once Cosmopolitan got good enough that we could compile GCC using Cosmo, our build latency dropped in half. https://x.com/JustineTunney/status/1726141024597324189

Cosmopolitan Libc is 2x faster than Musl Libc for many CLI programs like GNU Make and GCC because it has vectorized string libraries like strlen(). Musl won't merge support it on x86. I even mailed Rich patches for it years ago.

Cosmopolitan's malloc() function is very fast. If you link pthread_create() then it'll create a dlmalloc arena for each core dispatched by sched_getcpu(). If you don't use threads then it'll use a single dlmalloc arena without any locking or rdtscp overhead.

Cosmo has pretty good thread support in general, plus little known synchronization primitives from Mike Burrows. You can do things like build a number crunching program with OpenMP and it'll actually run on MacOS and Windows.

Cosmopolitan plays an important role in helping to enable the fastest AI software on CPUs. For example, Mozilla started an open source project called LLaMAfile a few months ago, which runs LLMs locally. It's based off the famous llama.cpp codebase. The main thing Mozilla did differently was they adopted Cosmopolitan Libc as its C library, which made it easy for us to obtain a 4x performance advantage. https://justine.lol/matmul/ I'm actually giving a talk about it this week in San Francisco.
I have only used JS sets in interviews to avoid duplication - more than once, the interviewer has chuckled appreciatively and directed me to not use them (being too easy)
I do not get why people are sceptical about link previews. When done right (without iframes), e.g. in Obsidian or via Linkz.ai , they actually add value.
I meant in particular with ESPHome you can program automations that work if WiFi is down. Like, if button is pressed, toggle relay for 3 seconds.

Furthermore, you can have wireless communication between ESPNodes: https://esphome.io/cookbook/http_request_sensor
Looks like they will build in the automation as another player?
> Yes, all commerce involves confidence. The difference with banks is both sides of their balance sheet are not only entirely confidence based, they’re leveraged to the hilt on it.

I'll give you that defense is not in the same league as banking if you'll give me that defense is not in the same league as SaaS (even enterprise/F500 SaaS). By the way, defense companies do get a lot of leverage based on their federal contracting lines. It's 2024, a bank can get you leverage on a ham sandwich, and companies are usually pretty big users of it (they are encouraged to be).

> Put another way: does restructuring threaten their defence line more than the status quo? I don’t know the answer, but I think it’s a valid question. (I’m familiar with their space lone and am halfway to writing it off.)

Yes. Defense contracts in general cannot be awarded to firms in bankruptcy or that have been in bankruptcy in the last 5-10 years. That is because financial solvency threatens acquisition timelines, and in a bankruptcy, anything can happen.
> Most guys available to hire aren't

Sounds like your hiring team just isn’t very good.

There are plenty of skilled people working in LLM land
I wonder what the calculations would look like if these things were made of wood.

https://news.ycombinator.com/item?id=40518630
Right, and "protecting jobs" is more important than allowing companies and products to compete on their own merits.

As a consumer, I am now punished because the foreign owned companies that choose to assemble vehicles in Canada can't do it as well as Chinese companies. Make it make sense.
Fair, and that's actually the opposite of using them to show off, right? :)
I think you make a good point, but my guess is that e.g. your Taylor Swift example, a well-grounded model would have a low likelihood of outputting multiple consecutive answers about her being a comedian, which isn't grounded in the training data.

For your Tom Cruise example, since all those phrases are true and grounded in the training data, the technique may fire off a false positive "hallucination decision".

However, the example they give in the paper seems to be for "single-answer" questions, e.g., "What is the receptor that this very specific medication acts on?", or "Where is the Eiffel Tower located?", in which case I think this approach could be helpful. So perhaps this technique is best-suited for those single-answer applications.
> can impact job seekers’ perceptions and organizational trust.

Nobody has been able to give me a reason why trust by employees in their employer is important.

As it has utterly evaporated in the past few decades and everything is chugging along quite well.

I don’t trust my employers. But other than being overemployed (and still getting good performance reviews, so not as though I was doing bad work as a result), it didn’t change much from my end.
Do you mean they don’t wan the public to know that they take 30% of sales?
My last car purchase took 14 hours total. 2 separate days, was buying new, no trade-in. I tracked my time because it was a work week! Despite telling them after the first day to "have everything ready" for my second visit, I still spent the majority of the day inside the dealership, twiddling my thumbs.
Yes!

And lowercase letters are easier to read than ALL CAPITALIZED LETTERS IN A HORIZONTAL LINE OF TEXT.

Justified text is the same thing, but vertically. Your eye reaches the end of the line, and the next one is likely slightly longer or shorter, so it is easier for your eyes to find the next line instead of reading the same line over again, and also easier to see the whole shape of a particular paragraph you want to refer to later.

I do like well-hyphenated justified paragraphs in print, that also let you fit more words per page. But even there, I prefer the organic, non-uniform look of ragged text.
Is R&R still that large? A few NADAs ago I approached them to see about getting a direct integration. Only one of my customers was R&R at that time. ReyRey acted very elitist and told me that they had no interest. Fast forward to this last NADA where I approached ReyRey again with only three customers. I asked them if we could integrated with three and they stated that they would even do a single customer. Quite the change of tune. I asked ballpark what it would be and they said "low 5 digits". Not even CDK is that expensive with their certification process.

This will also be interesting to see how it affects their their long in-development and repeatedly stalled Fortellis product. They are attempting to release it as a DMS agnostic solution which I did not think that other DMSes will gravitate to just because it comes out of CDK. This attack is just another reason for a competitor DMS to not use it.
Hello! Zack here, author of the post, thrilled to see people excited about this stuff. A friend submitted this to HN and I just realized it, sorry for not swinging by sooner. Always happy to discuss this further, the blog post wasn't quite done yet and there will be more to add later. Will respond to comments when I have time.
The article doesn't even address the fact that a company called Franco American makes Italian food.
Startups always have an exit strategy. Makes sense.
So have I and I came across those ideas first from his talks on Youtube not his writing.

He talks about this ideas constantly so I don't know if these are the best examples but:

1. About evidence for how language for communication is inefficient: https://www.youtube.com/watch?v=xyXqXfg-Dq4&t=3354s

2. About the sudden appearance of language: https://www.youtube.com/watch?v=JTGoYXx0Kew&t=1557s

3. Arguing with a biologist about the evidence for language being for thought (and a little bit at the end about how hierarchical structure is inefficient): https://www.youtube.com/watch?v=TzzuPMA8s7k&t=307s
The principle of moral hazard suggests that paying for insurance makes people more likely to use it.
Windows Update? Why would you volunteer for that experience‽‽‽ It is a VM in my MacBook. It needs no updates
Ask HN: Is it safe to talk about fake YouTube videos on social media?
Given that some YouTube channels with fake videos have millions of views, maybe talking about them on social media wouldn't be a good idea?
OpenAI stands to introduce the functionality of Multi into their own product. OpenAI is going to want control of your computer. It will want access to the data on your computer, to your screens, to what you're doing from moment to moment, and it wants to control it all for you. That's what it means by multiplayer.

If you grant it this control, you stand to lose any shred of privacy you have left, and become a complete slave to them. This is different from using assistants with granular access to data. It also is different from running your own private AI.
Scary. I made a short story based on a massive AI attack that takes this up a notch: https://www.tiktok.com/@likearollingbot/video/73841103452012...
Sounds like investors are asking "What is the product you have?" and military ties and mixed people/AI chat apps are the answer.

Still waiting for the "PhD level" Q*.
For me a game changer was reading: Mastering the Core Teachings of the Buddha

https://www.mctb.org/mctb2/

I moved from Transcendental Meditation (which I had learned previously) which doesn't quite get you into these states to concentration and insight according to this book and it got me there.
> Dumb question for the folks with kids: how are they indoctrinating the kiddos these days?

TikTok and Youtube shorts.
It's a vacuous statement. All physical systems are computers because the logic of computationalism is circular. Everything is a computer so there is no meaning in the statement and the danger is that as more people start believing in the circular logic of computationalism they'll be more willing to delegate their cognition to computers even in cases where they should not, e.g. social media and algorithmic feeds designed to increase engagement and profits for advertisers.
Too bad it's a Republic.
It isn't even that new, in terms of approach... a LOT of game and simulation would work with state driven rendering... each frame is rendered against the current state. Similar workflows to React+Redux were in pretty broad use, the tools just brought it to web development... from there, React as a model for UI abstraction became more popular for other applications outside web use. It makes a lot of sense.
Again, it's not that anything the OP did is unsafe or could go wrong.
> How to extend LLMs to add mechanisms for reasoning, causality, etc (Type 2 thinking)?

We could just use RAG to create a new dataset. Take each known concept or named entity, search it inside the training set (1), search it on the web (2), generate it with a bunch of models in closed book mode (3).

Now you got three sets of text, put all of them in a prompt and ask for a wikipedia style article. If the topic is controversial, note the controversy and distribution of opinions. If it is settled, notice that too.

By contrasting web search with closed-book materials we can detect biases in the model and lacking knowledge or skills. If they don't appear in the training set you know what is needed in the next iteration. This approach combines self testing with topic focused research to integrate information sitting across many sources.

I think of this approach as "machine study" where AI models interact with the text corpus to synthesize new examples, doing a kind of "review paper" or "wiki" reporting. This can be scaled for billions of articles, making a 1000x larger AI wikipedia.

Interacting with search engines is just one way to create data with LLMs. Interacting with code execution and humans are two more ways. Just human-AI interaction alone generates over one billion sessions per month, where LLM outputs meet with implicit human feedback. Now that most organic sources of text have been used, the LLMs will learn from feedback, task outcomes and corpus study.
Bottled water has always been a disaster. I have to wonder how much underinvestment there’s been in municipal water infrastructure because rich people just buy expensive bottled water that’s been shipped from all over the world.
What the Arrival of A.I. Phones and Computers Means for Our Data
> The researchers found that, on average, a liter of bottled water included about 240,000 tiny pieces of plastic. About 90% of these plastic fragments were nanoplastics. This total was 10 to 100 times more plastic particles than seen in earlier studies, which mostly focused on larger microplastics.

As someone with a less than average understanding of medicine and health in general, I don't know what to do with this information other than be sad and concerned.
https://webassembly.org/docs/security/
https://archive.ph/NwD8E
Ask HN: How do we price the enterprise edition of our open source product?
Pricing an open source project is tricky. Especially so because the traditional COSS strategy of the last 10 years used by the likes of Mongo DB, Hashicorp and others, has received flak for the “BUSL rug-pull”.

It is our firm belief that Digger will continue to be Open Source, and we have built the product around gitlab’s buyer based open core model [1] from day 1. The enterprise edition features around collaboration and governance would be what people would pay for, with the features around automation being free.

This however, presents somewhat of a chicken-egg challenge in the early stages. Being a super small team, while the community edition brings us user love, the features in the enterprise edition brings us revenue, and for sustainable continuance of the product for both CE and EE features, we need to prioritise the requests and features of users that are willing to pay.

We have slowly started figuring out the features that people would pay for and we are working hard to onboard our enterprise customers.

But a question we repeatedly get asked is: how are you thinking about pricing? Why is it not transparent?

The simple answer is that we are still figuring it out.

The complex answer, is detailed in our current thesis below:

We think that where Digger wins amongst its existing user base is that most “middle tier” features amongst competitors can be used for free either via self hosting the community edition or via using the free automation tier. Digger’s collaboration tier also presents a significant advantage vs competition in that it doesn’t charge “self hosting” tax, and allows users to self host the features available in the collaboration tier at no additional cost. Now coming to the governance tier, Digger allows users to consume the features in this tier via their preferred means, and also has a bunch of governance features such as SSO, Audit trails, log forwarding and private VCS support which are often hard enterprise requirements.

We’d love the community’s feedback on this. Both regarding the feature split and on the actual pricing.

We've also created a github issue regarding this:

https://github.com/diggerhq/digger/issues/1589

[1]: https://handbook.opencoreventures.com/open-core-business-model/#764604b5c6db4107bb84bbc427d81b87