MurphyA/hacker-news huggingface dataset:
by koonsolo | 2025-06-16 06:54:57+00:00
I would say billionaires create value just like any other entrepreneur, but billionaires take their profitability to the extreme. So in that sense, I agree they start to lean over to exploitation.

It's up to political structures and laws to keep billionaires under control.

Since wealth naturally accumulates to those who already have wealth and power, I would say it's a natural process. Look at history and how many elites had huge power and wealth. Just compare the richest man now, Musk, with Augustus Caesar, Genghis Khan, etc... . Musk is a nobody.

It's not up to the billionaires to keep themselves under control, it's up to us to create political structures to keep it under control. Which we are already doing (some countries better than others), and we could still improve.
by namaria | 2025-06-16 06:55:06+00:00
> Reminds me of Plato's concern about reading and writing dulling your mind. (I think he had his sock puppet Socrates express the concern. But I could be wrong.)

Nope.

Read the dialogue (Phaedrus). It's about rhetoric and writing down political discourses. Writing had existed for millennia. And the bit about writing being detrimental is from a mythical Egyptian king talking to a god, just a throwaway story used in the dialogue to make a tiny point.

In fact the conclusion of that bit of the dialogue is that merely having access to text may give an illusion of understanding. Quite relevant and on point I'd say.
by seanmcdirmid | 2025-06-16 06:55:14+00:00
My hand writing has suffered since I’ve heavily relied on keyboards for the last few decades. I can’t even produce a consistent signature anymore. My stick shift skills also suffered when I used an automatic for so long (and now I have an EV, I’m forgetting what gears are at all).

Rather than lament that the machine has gotten better than us at producing what we’re always mostly vacuous essays anyways, we have to instead look at more pointed writing tasks and practice those instead. Actually, I never really learned how to write until I hit grad school and had messages I actually wanted to communicate. Whatever I was doing before really wasn’t that helpful, it was missing focus. Having ChatGPT write an essay I don’t really care about only seems slightly worse than writing it myself.
by Retric | 2025-06-16 06:56:27+00:00
> Both of which you've failed to quantify, so you have no answer as to why stop at millions and not thousands or billions.

I already quantified it relative to the metabolic cost on an organism the size of a human. There’s a big difference to us between 10 calories (more specifically 5 to 25 calories) and 10,000 there’s not a big difference between 10 calories and 0.01. Thus we spend a relatively but not actually trivial amount of resources for minor benefit.

A fruit fly by necessity operates at a different scale. It would help if you read my posts here.

> How do tiny variations in mobility help.

Mobility is a complex test of a wide range of cellular machinery. Which means that cellular machinery works well.

Lifespan is similarly a great test for the ability to maintain cellular homeostasis.
by WalterBright | 2025-06-16 06:57:03+00:00
> the ever-growing pie is rarely distributed among those who actually do the work

That's the Labor Theory of Value perspective. What actually happens in those cases is the particular jobs being done are not that productive. Consider if you could pay someone $10 to do $100 worth of work. Inevitably, your competitor sees you making this easy money, and entices your worker away for $11. Then you entice him back for $12. Then Fred entices him away for $13. See where this is going? The wages go up until it is barely profitable to employ the person.

> Obnoxiously wealthy people rarely create anything

What they do is conceive of it, finance it, and manage it. Those are critical wealth-producing activities. Start a company yourself, and this will quickly become apparent.

> is rarely distributed among those who actually do the work

Scores of millions of destitute people immigrated to America in the 19th century and moved up into the middle class and beyond.

Also, free markets do not "distribute" wealth. Again, that is the fixed pie viewpoint. The actors in free markets create wealth.

> Predatory pricing,

I.e. offering lower prices. Nothing wrong with that.

> regulatory capture

That's a problem with government, not free markets.

> and buying out competition

Nothing wrong with that, either. Lots of conglomerates become so complicated they collapse, and new competitors always spring up.
by riffraff | 2025-06-16 06:57:23+00:00
what, how is it allowed in marine protected areas? I mean, what are they protected from if not BT?

I think the EU planned to ban bottom trawling completely by 2030 and that got nowhere, but it still upholds a ban on bottom trawling in marine protected areas[0][1], in addition to national ruling (e.g. Italy bans it near the coast and in shallow waters).

[0] https://www.bluemarinefoundation.com/2025/05/22/eu-court-uph...

[1] https://www.bairdmaritime.com/fishing/regulation-enforcement...
by gnabgib | 2025-06-16 06:57:29+00:00
Can you point at some references? Horse riding started around 3500 BC[0], while horse carriages started around 100BC [1], oxen/buffalo drawn devices around 3000 BC[1].

[0]: https://en.wikipedia.org/wiki/Equestrianism

[1]: https://en.wikipedia.org/wiki/Carriage
by ninetyninenine | 2025-06-16 06:57:56+00:00
The theory I'm regurgitating is from academia. The opposite of wealth.

I hate billionaires. I think it's unfair. But I'm also scientific. That means if unfair and unequal distribution of wealth is what resulted in civilization we need to admit it.

But that doesn't mean we need to worship billionaires. Civilization is built off of blood and corruption. That doesn't make the blood and corruption justified.

If you want to deal with wealth inequality then why don't we just fight for communism? Communism is the ideal theory for fair wealth distribution. But what happens when we go for the ideal? Reality hits. Communism works in theory BUT not in reality. It's an idealist fantasy concept.

The big question here is that how do we meet our ideals WHILE NOT ignoring REALITY. Like ok, so a billionaire loves what I'm saying. I don't give a shit. To hell with him. We need to attack problems with the truth. Not some fantasy witch hunt bs trying to build a utopia that isn't inline with reality.

So maybe something in between works right? Not communism, you need a bit of inequality. But maybe not too much. What system like that has worked? Do we have examples? I mean Elon is a billionaire ass hole, that much is true, but the allowance of the existence of such billionaire ass holes in the United States has also allowed the existence of rocket catching technology never seen before by the likes of mankind. What's the tradeoff? Do we know? Are we examining the full reality of it? Maybe if we taxed billionaires like crazy and reduced them to millionaires... maybe the rocket catching technology would've still existed... Do we know? No. We don't But let's not blind ourselves to reality before we know.

One thing is for sure: wealth inequality is RESPONSIBLE for civilization. Are you rational enough to be impartial about this or are you so against wealth inequality that you can't even look at the good parts of it.
by souvik3333 | 2025-06-16 06:58:14+00:00
Hi, author of the model here..

We have a benchmark for evaluating VLM on document understanding tasks: https://idp-leaderboard.org/ . But unfortunately, it does not include image to markdown as a task. The problem with evaluating an image to markdown is that even if the order of two blocks are different, it can still be correct. Eg: if you have both seller info and buyer info side by side in the image one model can extract the seller info first, and another model can extract the buyer info first. Both model will be correct but depending on the ground truth if you do fuzzy matching one model will have higher accuracy than the other one.

Normally, a company will train and test on a dataset that is trained on the same type of annotation (either left block first or right block first), and all other models can get a low score on their benchmark because they are trained on the opposite order of annotations.
by WalterBright | 2025-06-16 06:59:17+00:00
P.S. I've learned to spot the losers early on. They always try to build a monumental log cabin, which drains away their energy and they cannot replace it and tap out. Others spend their time carving toys for their kids instead of looking for food.

To win you need to make a minimal cabin and spend all your time looking for food.
by chatmasta | 2025-06-16 07:00:49+00:00
I’m confused by the end. He implies that the “disablement codes” (geoblock, speed violation, etc.) are enforced by the user terminal, meaning they could be circumvented?

> The user terminal itself has no knowledge of service plans, countries, regional, or velocity restrictions – it simply follows commands received from the Starlink satellite

Surely this would be enforced at DHCP time? Or maybe not, since you could get an IP address then start going too fast… is this blog actually a ”wink wink nudge nudge” guide to bypassing Starlink policy restrictions?
Mailto: Sam Altman – Could ChatGPT Support Threaded Side Chats?
by oolu_bunmi | 2025-06-16 07:02:14+00:00
Hi Sam.

Sometimes when I’m deep into a ChatGPT convo, I have a small follow-up question — like “what's a webhook again?” — but asking it derails the flow.

What if we could open a mini thread off a specific message — like Discord or Slack — to ask side questions without messing up the main conversation?

Could the current “temporary chat” feature evolve into something like this — a side convo anchored to a specific part of the main thread?

Feels like it’d make ChatGPT more useful for builders and deep work.

Thanks
by NoPicklez | 2025-06-16 07:02:54+00:00
The truth is that basically all consultancies including most office jobs will be using AI to help make powerpoints, proposals and reports.

No different to anyone else using it help them code, write their own articles, emails, proposals, business cases etc

How this is made specific to McKinsey is beyond me, given that Microsoft has CoPilot built into its office suite everything should be doing this already.
by 01100011 | 2025-06-16 07:03:15+00:00
"Besides, there is nothing wrong with the planet, nothing wrong with the planet. The planet is fine; the people are fucked! Difference! The planet is fine! Compared to the people, The planet is doing great: been here four and a half billion years! Do you ever think about the arithmetic? The planet has been here four and a half billion years. We’ve been here what? 100,000? Maybe 200,000? And we’ve only been engaged in heavy industry for a little over 200 years. 200 years versus four and a half billion. And we have the conceit to think that somehow, we’re a threat?"

-George Carlin
by justsomehnguy | 2025-06-16 07:04:01+00:00
> Star Trek really doesn't seem to be as big as it used to be.

Hint: it was never big outside of the USA. If anything, Internet and the Hollywood reboots is the way most people outside of the USA learnt about it.

Also try to find Europe in the article: https://en.wikipedia.org/wiki/Cultural_influence_of_Star_Tre...
by reify | 2025-06-16 07:05:23+00:00
I was wondering why the name of the herb was not mentioned.

Was I expected to click on the link to find out.

so I searched and found this link.. much better:

https://theconversation.com/rosemary-has-been-linked-to-bett...

Dipa Kamdar

Senior Lecturer in Pharmacy Practice, Kingston University
by souvik3333 | 2025-06-16 07:05:34+00:00
The model was primarily trained on English documents, which is why English is listed as the main language. However, the training data did include a smaller proportion of Chinese and various European languages. Additionally, the base model (Qwen-2.5-VL-3B) is multilingual. Someone on Reddit mentioned it worked on Chinese: https://www.reddit.com/r/LocalLLaMA/comments/1l9p54x/comment...
by adrian_b | 2025-06-16 07:05:55+00:00
While HDR has the problems described by you, in practice, whenever possible, I choose the HDR version of a movie over its SDR version.

The reason is not HDR itself, but the fact that the HDR movies normally use the BT.2020 color space, while the SDR movies normally use the BT.709 color space.

The color spaces based on the limitations of the first color CRT tubes, which are no longer relevant today, i.e. sRGB, BT.709 and the like, are really unacceptable from my point of view, because they cannot reproduce many of the more saturated colors in the red-orange region, which are frequently encountered in nature and in manufactured objects, and which are also located in a region of the color space where human vision is most sensitive.

While no cheap monitor can reproduce the full BT.2020, many cheap monitors can reproduce the full DCI-P3 color space, which provides adequate improvements in the red-orange corner over sRGB/BT.709.
by eesmith | 2025-06-16 07:06:55+00:00
As I wrote, the main point of the paper was not the specific model evaluation, but the development of a benchmark which can be used to test new models.

Good benchmark development is hard work. The paper goes into the details of how it was carried out.

Now that the benchmark is available, you or anyone else could use it to evaluate the current high-end versions, and measure how the performance has changed over time.

You could also use their paper to help understand how to develop a new benchmark, perhaps to overcome some limitations in the benchmark.

That benchmark and the contents of that paper are not obsolete until there is a better benchmark and description of how to build benchmarks.
by vrighter | 2025-06-16 07:07:14+00:00
So how does it save me from having to read the man page?

How do I know if the command is safe to execute when I can't trust LLM output?

Also, for "safe" commands, how do I know that it is doing what I asked it to do (without reading man pages) when I can't trust LLM output?

Anything your script returns is "untrusted input" to me which requires careful scrutinization. Which means this adds more work, not lessens it. While also making running commands cost real money!
by em-bee | 2025-06-16 07:08:19+00:00
and as a consequence the fight of AI vs copyright is one of two capitalists fighting each other. it's not about liberating copyright but about shuffling profits around. regardless of who wins that fight society loses.

it conjures up pictures of two dragons fighting each other instead of attacking us, but make no mistake they are only fighting for the right to attack us. whoever wins is coming for us afterwards
by riffraff | 2025-06-16 07:08:50+00:00
Africa's fertility rate is dropping fast: 40 years it was above 6, 20 years ago it was above 5, and it dropped by 0.6 in the last ten years.

https://www.macrotrends.net/global-metrics/countries/afr/afr...

most projections expect Africa's population to peak around 2070, which is less than the timeframe GP considered.
by roenxi | 2025-06-16 07:09:28+00:00
People who aren't high performers, as a general rule, can't be transformed into them by any system (although there are some fascinating explorations of what a low performer can achieve with the right capital investments). A good strategy is one that either achieves the best possible results with a large number of average performers or turns medium-high performers into high performers and really enables the high performers to shine.
Show HN: I launched a productized service for app founders
by shmi | 2025-06-16 07:09:43+00:00
After shutting down my $350,000/y app agency due to burnout, I wanted to try another approach.

So I teamed up with my design (and life) partner Biljana and launched AppBakery - your mobile app team in one simple subscription:

- No calls - One Trello board - Results in 48h on average - Fraction of an agency cost - Design, dev, and ASO done fast

If you ever worked with a slow agency (or been part of one), we'd love to hear your thoughts.
by skrebbel | 2025-06-16 07:11:19+00:00
This seems very similar to Java's oldschool single-interface callback mechanism. Originally, Java didn't have lambdas or closures or anything of the sort, so instead they'd litter the standard library with single-method interfaces with names like ActionListener, MouseListener, ListItemSelectedListener, etc. You'd make a class that implements that interface, manually adding whatever data you need in the callback (just like here), and implement the callback method itself of course.

I think that has the same benefit as this, that the callbacks are all very clearly named and therefore easy to pick out of a stack trace.

(In fact, it seems like a missed opportunity that modern Java lambdas, which are simply syntactical sugar around the same single-method interface, do not seem to use the interface name in the autogenerated class)
Show HN: I'm building an app to replace Overleaf and Notion
by WolfOliver | 2025-06-16 07:11:22+00:00
Hi HN, Since 2019, I’ve been working on a writing platform designed for creating complex documents (e.g., theses). I personally use it for everything as it also allows to classify documents in categories so you can organize them efficiently.

As of a few months ago, the app is also available in the browser, and you can now invite coworkers to collaborate on a document in real time.

The app is somewhat inspired by LyX. It offers an intuitive, modern editor, but users don’t need to know any LaTeX. When it’s time to export, they can choose from a range of templates (IEEE paper, thesis, etc.).

A few highlights:

- It uses a custom-built block editor that performs well with large documents. Each block is its own contenteditable element (instead of having one massive contenteditable for the whole document)

- If you prefer plain text - you can insert a Markdown block and write using Markdown instead

- Built-in citation management

- Support for cross-references and footnotes

- Mermaid diagrams, inline LaTeX equations, and display math are all supported

- "To-do" sections help you stay organized while writing

You can try it out here: https://www.monsterwriter.com/
by overdrive2106 | 2025-06-16 07:11:59+00:00
I’ve just finished building a plugin that makes it easy to manage your saved Reddit posts (let’s be honest — what Reddit currently offers in that area is hardly usable).

With this plugin, you can group your saved posts into folders, search through them effortlessly, and on top of that, I’ve also added a wellbeing feature. The plugin helps you avoid wasting too much time on mindless scrolling — it will warn you when you’ve spent too long browsing Reddit.

Plugin will be launched on ProductHunt in few days, but you can be first one to test it: https://reddit-librarian.web.app/
by gnabgib | 2025-06-16 07:12:02+00:00
Either rosemary or sage

Paper (from February): diAcCA, a Pro-Drug for Carnosic Acid That Activates the Nrf2 Transcriptional Pathway, Shows Efficacy in the 5xFAD Transgenic Mouse Model of Alzheimer’s Disease https://www.mdpi.com/2076-3921/14/3/293
by jeroenhd | 2025-06-16 07:12:17+00:00
The thing about creators is that most of them are paid extremely poorly, and some of them get insanely rich. Joanne Rowling has received more money than a reasonable person could use for her wizard books, but millions of bloggers feeding much more data into AI training sets will never see a cent for their work. For starting authors selling books, this can easily be the difference between writing another book or giving up and taking up another job.

At the moment, there's also a huge difference between who does and who doesn't pay. If I put the HP collection on my website, you betcha Joanne Rowling's team is going to try to take it down. However, because OpenAI designed an AI system where content cannot be removed from its knowledge base and because their pockets are lined with cash for lawyers, it's practically free to violate whatever copyright rules it wants.
by Kiyo-Lynn | 2025-06-16 07:12:29+00:00
When I write with AI, it feels smooth in the moment, but I’m not really thinking through the ideas. The writing sounds fine, but when I look back later, I often can’t remember why I phrased things that way.

Now I try to write my own draft first, then use AI to help polish it. It takes a bit more effort upfront, but I feel like I learn more and remember things better.
by anonzzzies | 2025-06-16 07:13:53+00:00
... which is not a bad reason in some cases.

I for instance find Python the most horrible language + ecosystem outside the js ecosystem (but I like js the language more and that's saying something), so I would always opt for lisp (or pen + paper) over Python. R / Rstudio are nice though.

I don't think it really tracks either; Lisp is quite ergonomic for this type of thing and, if you have been doing it for a while, you'll have your own tooling to work faster/more efficient in that lisp and of course, the comparison falls down then as the swiss knife now has a chainsaw option which is as good or better than other options to cut down trees.
by itake | 2025-06-16 07:14:32+00:00
> you're placed/bucketed into one of five portfolios that they offer and manage themselves.

this doesn't seem to be very different from what robo advisors do... where as they say, group you with the other people that have the same risk profile as you.

> What we do is factor in the risk appetite of the user plus the goal itself

I need some examples, b/c the goals you listed seem weird. Like trying to save $4k for a vacation, or car, seems like investing products aren't the right choice. You should keep that money cash in a HYSA and buy the thing when you have enough. If you're working with people with retirement funds, they probably would just cash out from their existing portfolio when they need to buy the expensive item.

> with a wide range of asset classes and a "glidepath" (target date) structure

I need to experiment more with the tools, but for high networth individuals with modest spending, glidepath models hurt long-term returns. For example, if someone invests $2,000/month for 45 years with a 9% real return, they could end up with $12.6M in an S&P 500 portfolio. At today’s 1.27% dividend yield, that’s $160K/year in passive income, which is enough to cover an 2x the average American lifestyle. So why shift away from an aggressive portfolio like the S&P 500 in retirement? If there is a big draw down in the market at the start of retirement, reducing the portfolio to $6.3m (half!), keeping 1 yr cash, reduce expenses by 20%, and as the market recovers you'd only pull out 1-5 years of money (2.5% per year - dividend payouts). Obviously, not ideal, but you're still not going be homeless at age 90.
by nothrabannosir | 2025-06-16 07:17:29+00:00
If LLMs were as reliable as compilers we wouldn’t be checking in their output, and I’d be happy to forget all programming lore.

The “skill domain” with compilers is the “input”: that’s what I need to grok , maintain , and understand . With LLMs it’s the “output”.

until that changes, you’re playing a dangerous game letting those skills atrophy.
by jackgavigan | 2025-06-16 07:18:01+00:00
It also enabled cipher strength "step up". Back during the '90s and early 2000s (I'm not sure when it stopped, tbh), the US government restricted the export of strong cryptography, with certain exceptions (e.g. for financial services).

If you fell under one of those exceptions, you could get a special certificate for your website (from, e.g. Verisign) that allowed the webserver to "step up" the encryption negotiation with the browser to stronger algorithms and/or key lengths.