skysight-inc/HackerNews huggingface dataset:
1. Is Mullenweg's recent behavior as bad as it seems to those of us not very familiar with WordPress?

2. If the behavior is as bad as it seems... Did Mullenweg always behave like this? (Like, hints of it, even if the circumstances at the time meant it wasn't very negative?) Or did it increase slowly over time, or change rather abruptly?

I think a national-politics-grade PR attack campaign is unlikely. So, if it wasn't that, I'm wondering whether the current character was always there, or there was some gradual or punctuated mental health change. That can often be helped and healed.

Separately, in any case, the larger WordPress community will hopefully realize the risks of dictators and kingdoms, and move to be more resilient. And not make the same mistake yet again, just with a new overlord, like we often do in tech consumption (and in human history, for that matter).
> Just like you can’t google for a movie if you don’t know the genre, any scenes, or any actors in it,

ChatGPT was able to answer "What was the video game with cards where you play against a bear guy, a magic guy and a set of robots?" (it's Inscryption). This is one area where LLMs work.
The United Kingdom constitution – a mapping exercise
My problem with the term “ecological balance” is that it doesn’t exist. It’s a mythical term that seems invented by Disney. Nature is brutal. Populations will get wiped out, species will disappear.

That’s exactly why having a lot of species is important. But it’s hardly balanced.
> There's only one core problem in AI worth solving for most startups building AI powered software: context.

Is this another way of saying "content is king"?
> The SCOTUS has outlived its usefulness.

What about their refusal to explain their security measures convinced you of this?

> The next step is for States to actively begin disregarding its decisions and forcing the Federal government to enforce its unpopular mandates against States which choose to not comply which will be deeply unpopular.

Is that the next step, or has it happened before, most notably during desegregation? Was forcing the states to desegregate right, even if it was unpopular?
> This is not the same as having unique access to domain-specific data, which becomes more valuable as you run it through more powerful domain-agnostic models. It sounds like this latter point is the one you say has value for startups to tackle

Exactly!
I wonder if AI can fill that gap of high quality minimally biased moderator.

"You are an AI moderator for ___. The community values thoughtful, constructive, and respectful conversations. Your role is to review user comments and take appropriate actions, such as approving, flagging, or suggesting edits. You are tasked with ensuring comments adhere to the community guidelines, which include..."
I feel like LLMs are going to be a skill to have similar to the ability to google or type since it can get good answers pretty well but bad answers when you don't know the subject manner.
Microplastics in the air may be leading to lung and colon cancers
It’s one time fixed cost per stream of messages, with some out of band mechanism to throttle posting per-stream. I’m not sure I agree with the original articles choice of throttling mechanism (binding to the universal Bitcoin clock), but the concept still makes sense: in order to scale up production of spam, you still need to buy additional domains, otherwise you’re limited to one post every n-minutes, and domain registration slow enough for block lists to keep up.
Restating the exact same thing 4 different times in the first few paragraphs is an LLM feature right?
> making even greater contributions to humanity.

than writing papers nobody will ever read? yes I am.

A PhD can be a great contribution to your life, and the opportunities it can bring you and your family.

The phony marketing that appeals to young people is that you are advancing the progressive human narrative.
Judges in general cannot talk to parties with business before their court. Fortunately / unfortunately, our Supreme Court has no ethical standards, so there’s no prohibition here like there would be for a lower court.

BTW I think you meant “President elect”, who is still a private citizen.
The legal problem is in outputting IP, I still have yet to see a convincing argument that training on copyrighted data is a breach of IP laws.

The trained models are trillionths the size of their training sets. There is no archive of copied data in them.
As a counterpoint to author's use of vim-slime (not to say I don't believe author's commet of "I'm Okay, I Promise," but rather to communicate to others who are facing a similar choice:

I am a lifelong vim user (since elementary school in the early '90s), and I developed common lisp using vim for over a decade. I still use vim for nearly everything, but emacs as my Lisp IDE. Before evil-mode, I used the mouse and menus for 90% of what I did, and it was still an improvement over the best vim had to offer at the time (vim-slime existed back then, but would crash or hang regularly).

Author's vim setup is fairly good, but Emacs/slime is still better. They stopped using emacs because of RSI, but their vim setup defaults to "v a ( C-c C-c" to accomplish something that is "C-c C-c" in emacs/slime. They have altered it to be "v a ( <space> g" which begs the question of "why not remap keys in emacs?"
51. The Dream Machine - A deep dive into the history of computing.

52. Mindstorms by Seymour Papert - Groundbreaking work on computers in education.

53. Sunburst and Luminary: An Apollo Memoir by Don Eyles - The Apollo Guidance Computer.

54. Build by Tony Fadell - Memoir and innovation lessons.

55. Fall of Carthage by Adrian Goldsworthy - Punic Wars and Carthage's fall.

56. Making PCR - The story of polymerase chain reaction development.

57. Moonwalking with Einstein - Memory training and championship.

58. The Rickover Effect by Theodore Rockwell - First nuclear-powered submarine.

59. The Idea Factory - Bell Labs and American innovation.

60. Hackers by Steven Levy - History of computer hackers.

61. Fire in the Valley - Personal computing revolution.

62. Monk in the Garden - Life of Gregor Mendel.

63. Leadership Moment - Lessons from leaders in crises.

64. The Man Who Discovered Quality - W. Edwards Deming and quality management.

65. Eccentric Orbits - Iridium satellite network's rescue.

66. The Road to Character - Human nature and moral development.

67. The Spy and the Traitor - Soviet spy Oleg Gordievsky's story.

68. Billion Dollar Spy - Cold War espionage.

69. Skunk Works - Lockheed's F-117 and SR-71 programs.

70. Working by Robert Caro - Insights into Caro's research.

71. The Wager by David Grann - 18th-century British maritime disaster.

72. Caro's LBJ Series - Biography of Lyndon B. Johnson.

73. The Prize by Daniel Yergin - Oil industry history.

74. The Invention of Nature by Andrea Wulf - Alexander von Humboldt's contributions.

75. Bad Blood by John Carreyrou - Theranos scandal.

76. Losing My Virginity by Richard Branson - Memoir and business insights.

77. The Hard Thing About Hard Things by Ben Horowitz - Leadership lessons.

78. Billion Dollar Loser by Reeves Wiedeman - WeWork's rise and fall.

79. Tuxedo Park - Invention of radar during WWII.

80. Insisting on the Impossible - Edwin Land and instant photography.
you can say that, but are big tech building new data centers and contracting with nuclear energy producers to support WP websites?
> Sprawling risk: The planning flaws that exacerbated the wildfires have long plagued Southern California. The two communities decimated by fires, Altadena and the Pacific Palisades, were built decades ago at the foothills of mountains that frequently burn. Dotted with single-family homes lining narrow, winding streets, they are difficult to defend and difficult to evacuate. […]

> Vegetation clearing warnings ignored: […]

> Water runs short: […] “There’s no urban water system engineered and constructed to combat wildfire,” said Michael McNutt, a spokesman for the Las Virgenes Municipal Water District, which serves 75,000 people in northwest Los Angeles County. The system was intended to supply water to homes and businesses, he said, and to help fire crews defend a large structure or several homes, not multiple neighborhoods at once. […]
I wasn't referring to OAI, but rather:

1. Existing legacy players with massive data lock-ins like ERP providers and Google/Microsoft.

2. Massive consolidation within AI platforms rather than massive fragmentation if these legacy players do get disrupted or opportunities that do pop up.

In other words - the usual suspects will continue to win because they have the data and lock in. Any marginal value in having a specialized model, agent workflow, or special training data, ect. will not be significant enough to switch to a niche app.

It is indeed unfortunate and niches will definitely exist. What I am referring to is primarily in enterprise.
Thanks for sharing this.

I'd like to hear more from you about the specifics of Angular that work really well in an enterprise (at least, large complex flagship saas webapp) scenario, and how you overcame specific Angular challenges? I hear many negative thing about Angular, but I really just wonder if there is misunderstanding about how things should be done.

If that's not something suitable for a casual HN comment, perhaps something like this would be a good blog article.

Faced with a technology decision, it's been interesting reading what people on HN say about React/Svelte/Angular.

What I seem to read around here is that React is great and simple until it's very large, and you could pay a high price later on if you make poor decisions early. Lots of complaints about complexity in a large codebase, telling me that architecture gets tricky especially with many vendor libraries.

Angular is talked about with disdain mostly, steep learning curve and lack of JSX. That could be a feature or benefit. You don't need to reinvent the wheel or architect everything as there's a strong structure in place, but you have to understand and do everything the prescribed way. What I want to know more about is once you have the right practices in place, how good is it to work with? What compromises and unsolvable issues remain once you get to a significantly large application?

Svelte has a very positive reception, but I'm not sure there are many 'enterprise'-y success stories yet and obviously specialists/talent will be rarer.
Startups can still win against big players by building better products faster (with AI), collecting more / better data to feed AI, and then feeding that into better AI automation for customers. Big players won't automatically win, but more data is a moat that gives them room to mess up for a long time and still pull out ahead. Even then, big companies already compete against one another and swallowing a small AI startup can help them and therefore starting one can also make sense.
Show HN: SemHash – Fast Semantic Text Deduplication for Cleaner Datasets
We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning.

Main Features:

- Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU.

- Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets).

- Lightweight: Minimal dependencies (largest is NumPy).

- Explainable: Easily inspect duplicates and what caused them, and view the lowest similarity duplicates to adjust the threshold based on your dataset.

We found that text deduplication is more complex than it appears, so we built SemHash to simplify the process. Duplicate samples can skew model training, reduce generalization, and cause train-test leakage—leading to unreliable results. Techniques like minhash handle exact or near-exact duplicates, but semantic deduplication also catches semantically redundant samples, which we believe is an important aspect of deduplication. Furthermore, it’s not trivial to see why something was removed with minhash, which we also believe is important. We already found some interesting results on some well known datasets in our benchmarks which are included in the repo.

We are curious to hear your feedback! Do you currently deduplicate your datasets before training, and what techniques do you use?
81. Failure is Not an Option by Gene Kranz

82. Mrs. P’s Journey by Phyllis Pearsall

83. River of Doubt by Candice Millard

84. Longitude by Dava Sobel

85. Dreaming in Code by Scott Rosenberg

86. The Last Viking - A biography of Roald Amundsen

87. The Wager by David Grann

88. Simply Fly by Captain G. R. Gopinath

89. Engines That Move Markets by Alasdair G. M. Nairn

90. The Education of Cyrus by Xenophon

91. Boyd: The Fighter Pilot Who Changed the Art of War by Robert Coram

92. Madhouse at the End of the Earth by Julian Sancton

93. How to Make a Spaceship by Julian Guthrie

94. West with the Night by Beryl Markham

95. The Age of Uncertainty by Tobias Hürter

96. American Steel by Richard Preston

97. Showstopper by G. Pascal Zachary

98. Eccentric Orbits by John Bloom

99. The Great Bridge by David McCullough

100. Loonshots by Safi Bahcall

101. The Art of Doing Science and Engineering by Richard Hamming

102. Where Wizards Stay Up Late by Katie Hafner

103. The Evening Star by Henry S. F. Cooper
In many locales, bikes are legally allowed to run red lights, if there’s no cross traffic coming. Bikes do have to yield to pedestrians, I’m not sure why you think otherwise.
The OP uses C libraries, and this is used to much simpler interfaces and much smaller dependency sets than the GP. So no, I don't think they know all of this.

But also, they probably to know how to keep their dependencies sane, and possibly think the best way to document that giant 2k lines interface is in a book. What are both really good opinions, that will never be really "understood" by communities the GP takes his libraries from just because it's not viable for them to do it.
Indeed it would as the landlords would just raise rents accordingly.

We saw a bit of that with Covid cheques.
Seeing his posts here, it would appear that his behavior is indeed "as bad as it seems". A serial poster who cannot seem to disengage, took everything personally, and refused to try to understand other perspectives.
"But it wouldn't have been ecological. The geotects of Imperial Tectonics would not have known an ecosystem if they'd been living in the middle of one. But they did know that ecosystems were especially tiresome when they got fubared, so they protected the environment with the same implacable, plodding, green-visioned mentality that they applied to designing overpasses and culverts."

-- Neal Stephenson, The Diamond Age.

Kind of interesting timing given the mysterious sea fence that appeared recently [1].

Does that mean there's still some sort of hope...?

[1] https://en.tempo.co/read/1963072/after-much-protest-pantura-...
Even in implementation they're pretty intertwined. The org version is missing a bunch of basic features that make com's "jetpack" plugin almost mandatory, which includes invasive tracking that's hard to turn off.
The history of sex toys and what they tell us about ancient women
All that might be true, and it’s still a bad political move to show up without preparation that indicates you did more than upload a resume.

You’re basically saying “i don’t know how to present myself and I’m going to cause problems for your organization”.

It’s like “why can’t I show up at 2 PM and work until 11. I get my work done”. You just have no awareness and are a liability for your boss.
Matt Mullenweg Should Resign (2010)
I am raising awareness around the energy wastefulness of LLMs.
The truncation of the title to remove "These" does severe violence to its meaning.
It's certainly more of a thing in SV, but it's not just a SV thing. The US in general is about as far removed from the rest of the world on this axis as SV is from the rest of the US. Experiences vary, of course.
I disagree, these search indexes already exist, they just need to be navigated much how Cursor uses agentic search to navigate your codebase or you call Perplexity to get documentation. If the knowledge exists outside of your mind it can be searched agentically.
I agree. Foundational models suck at the high value security work that is needed.

That said, the easiest proof-of-value for foundation models in security today is automating the SOC function by auto-generating playbooks, stitching context from various signal sources, and being able to auto-summary an attack.

This reduces the need for hiring a junior SOC Analyst, and is a workflow that has already been adopted (or is in the process of being adopted) by plenty of F500s.

At the end of the day, foundational models cannot reason yet, and that kind of capability is still far away.
It's not even clear that training on copyrighted data even is a breach of IP law. People start their arguments on that assumption so they have an argument, but in reality that question isn't even resolved yet, and frankly it looks like the courts will likely determine that it's not a breach of IP law to train on copyrighted data (but is a breach to output it).
That's not the point of the article. There are other ways for infinite animations.
I would say that we learned to trust the search engines; but otherwise I agree with you: every ranking algorithm will be gamed eventually.

(I wonder if giving an LLM content with intent to cause its users to spend money they didn't need to, would count as fraud, hacking, both, something else entirely?)
There is no quicker way to get yourself put on the back burner than failing to pick up the pom poms. If you are valued by management you will get a few warnings but other than that you go one a silent list for the next restructuring or making an example of.
Metaware High-C version 1.2 (Nov 1985) had underscores in floating point and integer literals. Possibly it had that even earlier.

Possibly also taken from Ada, as other text in that section of the manual reference Ada.

See A.3 pg 169 (and 58+) of 235 in: https://bitsavers.org/pdf/metaware/High_C_Language_Reference...
I agree but do see 1 realistic solution to solve the problem you describe. Every product on the market is independently integrating a LLM right now that has access to their product’s silo of information. I can imagine a future where a corporate employee interacts with 1 central LLM that in turn understands the domain of expertise of all the other system-specific LLMs. Given that knowledge, the central one can orchestrate prompting and processing responses from the others.

We been using this pattern forever with traditional APIs but the huge hurdle is that the information in any system you integrate with is often both complex and messy. LLMs handle the hard work of handling ambiguity and variations.
Yep. The same fallacy would get you “we can’t own a candy bar because its component atoms originated in distant stars billions of years ago and will outlive our solar system”. Sorry, no, that’s my Kit Kat.
The "U" in UBI is for "Universal". There is no means-testing. Everyone gets it regardless of assets or income, which means there is no need to spend any effort on checking whether someone is "poor enough".

Though the state would have to make sure the person receiving the benefit actually exists, is still alive, etc.
> hours spent chatting on MSN Messenger (they weren’t all that exciting: you used to talk to your classmates right after you’d been with them)

Well, talk for yourself, sir. As a teenager, I had hundreds of IM contacts across ICQ and MSN from all over the world, not only classmates.

> eMule (they often sounded bad and the noise of the computer, running all night, caused nightmares)

A friend recommends a song, you can get it with a 2h download and you both can enjoy talking about it. There was _nothing_ like it at the time.

It's not about wanting to go back. We can't go back, even if everyone wanted to. It was something awesome that happened once and we don't know the formulae for it.
The problem there is outputting the data, not inputting it.

OAI can put a dumb IP filter on ChatGPT output and resolve the case. Training plays no part here.
William Cronon, "The Trouble with Wilderness: Or, Getting Back to the Wrong Nature"

https://faculty.washington.edu/timbillo/Readings%20and%20doc...
Power tripping isn't really about being "tempted by power", rather it's when you become self-righteous because you got granted (some) power.

If you want some sweeping generalisation for why Americans are more prone to this sin, how about the various old cultural patterns of thought that fit under the header "manifest destiny"?
You absolutely do not need to encode and decode the whole image, even in ComfyUI. All you need to do is composite the changed areas back in the original photo. There are nodes for that and I’m sure that’s what Adobe does as well, if they even encode in the first place. These tools don’t really work quite like inpainting. There’s no denoise value - it’s all or nothing.

I’ve used Photoshop’s generative fill many times on singular images and there’s no loss on the ungenerated parts.
File IO wasn't portable.

Consider the book where this Animal appeared: David H Ahl was aiming at a wide audience. The content was previously in Creative Computing Magazine.

It was up to the reader to adapt the BASIC programs to work on their machine.

The robot illustrations are the unforgettable charm of that book. It's on the net.
Most normal people don't comment on hackernews, yet here we are.
Good luck with your PhD. Stay focused and enjoy this time, you will have a freedom to explore and study that’s almost unparalleled in post-grad life!
> Surely one could find a place for an industrial site

Has anyone proposed one?
Inspired by the classic Gar-Type I see !
I don't get the downvotes.

It's hard to read any fraction of this article without wanting to take a walk away from the computer.
A partial list of ISBNs in the dataset https://github.com/psmedia/Books3Info
I said in my opening line:

> ... the responsibility for representation in a given workforce roughly matching that of the broader population does not fall solely on the shoulders of "a company in Warsaw".
I mean, this is notable because it screwed up. It usually does a pretty good job. Usually.

In this case there are better tools for the job anyways. Generative fill shines when it’s over something that’d be hard to paint back in - out of focus water isn’t that.
A LLM wrapper adds near-zero value. If I type some text into a "convert to Donald Trump style" tool, it produces the exact same output as typing it into ChatGPT following "Convert this text to Donald Trump style:" because that's what the tool actually does. Implementing ChatGPT is 99.999% of the value creation. Prepending the prompt is 0.001%. The surprising fact is that the market assigns a non-zero value to the tool anyway.

Startups that use cloud servers still write the software that goes on those servers, which is 90% of the value creation.
It even comes up sometimes in the summary of game jams that are focused on his assets:

https://itch.io/jam/kenney-jam-2019
Training on copyrighted works licensed for such use is inarguably conforming.

Acquiring and using works without such license is just piracy. Whatever your stand on piracy is, most individuals and businesses are not free to incorporate it into their projects. Normal people have faced significant penalties for piracy, and concientious business operators avoid it.

Sure would be disappointing to all those people if there were suddenly a ruling that said "well, but it's okay that these guys did it because they're filthy rich and went real hard with it"
Yes, but phone numbers can be used across multiple Apple accounts.
> choices for small-scale energy sources are: batteries with all their dirty mining, biofuels taking away lots of arable land from food/textile/etc production, or fuel cells

Storage also includes flywheels and pumped hydro. Hydrogen is mostly a farce.