skysight-inc/HackerNews huggingface dataset:
Hi, Alejo Hausner!

We worked on this problem, too, and Gordon Woodhull created a working system for dynamic hierarchical layout. I think he also incorporated an improved node positioning and edge routing algorithm of Ulrik Brandes. The code is still available here, I think: https://www.dynagraph.org

It was great work. We meant well, but were overextended for the resources we had. Gordon is a brilliant programmer.
Looks like an aerodynamic version of a cartel made armored vehicle also based on a f350.
> right down to the typo "you name" rather than "your name", which seems unlikely to happen if it were making it up out of thin air.

Why is it unlikely? Why does prompting it different ways and getting the same result make it unlikely?
Going on year 15 with a good clutch on a low-end bmw here. Dunno if luck or not, but not a lot of clutch complaints on bmw forums.

Their automatics on the other hand…
Just imagine the state of the world in 1582, and the amount of cooperation, agreement, and coordination that it took to implement the Gregorian Calendar, which was an incremental iteration of the Julian one. Take the chaos and confusion created by that (and rippling into present times) and multiply it by ten or so, and then you may perhaps approach what it'd be like to change calendars today.
Yes you did. You took my post in bad faith. You incorrectly assume I took the ggggp's post in bad faith, and now are engaging in your own battle against your own incorrect assumption. The hypocrisy is you are complaining about failing to engage with the main point, while refusing to engage and derailing yourself. Please stop, let's just move on.

--

gggggp claims that culture is more narcissistic and greedy now. I dispute that, if you want to defend that claim, tell me what era you grew up in that was less so.
I'm "self-employed" aka I don't have anyone to tell me what else to spend my time on!
> ... these are text token prediction algorithms, underneath.

If I had to take a wild guess, my guess would be that the prediction probabilities are very dependent on context, so by changing the context, the entire slate of probabilities shift.
https://archive.ph/hQdwK
My great-grandfather also perished in a mine collapse near Wilkes-Barre, PA, sometime in the 1920s. I remember my grandfather, who was still a child when it happened, telling me about how the miners were treated. He was forced to take a job selling fruit to support his mother and brother because the mining company refused to pay any death benefits. It's easy to forget how bad the working conditions once were, and I suppose still are in some places today.
Frasier was definitely funny in a 'witty' sort of way, but Seinfeld is just classic somehow, IMO.
> Economic inequality springs from (among other things) the fact that each and every one of us chooses to buy things & engage in our economy

It's a delusion to imagine that everyone could choose to go live in the woods and revert to a subsistence lifestyle. For most people, there's no meaningful alternative.
I think that's what they believe, but I buy Douglas Rushkoff's argument that this is a collective illusion on the part of the billionaire class. See https://rushkoff.com/books/survival-of-the-richest-escape-fa...
Honestly, we probably need better writers in entertainment anyway. Cheers to the scabs!
Milk shake-up: High school student sues school district over dairy flap
Maybe I'm missing something, but how do we know that this is actually a leaked prompt?
For raw text completion I agree with you that it's a bit discordant. IMO text completion prompts work better when you use more of a first-person, here-is-the-beginning-of-some-transcript style.

The OpenAI chat completion endpoint encourages the second-person prompting you describe, so that could be why you see it a lot. My understanding is that a transformation is applied to the user input prompts before being fed to the underlying model, so it's possible that the model receives a more natural transcription-style prompt.

You might be interested in this paper, which explores ways to help non-experts write prompts https://dl.acm.org/doi/abs/10.1145/3544548.3581388.
If you play with a "raw" model such as LLaMA you'll find what you suggest is true. These models do what you'd expect of a model that was trained to predict the next token.

It's quite tricky to convince such a model to do what you want. You have to conceptualize it and then imagine an optimal prefix leading to the sort of output you've conceptualized. That said, people discovered some fairly general-purpose prefixes, e.g.

Q: What is the 3rd law of Thermodynamics?
A:

This inspired the idea of "instruct tuning" of LLMs where fine-tuning techniques are applied to "raw" models to make them more amenable to completion of scripts where instructions are provided in a preamble and then examples of executions of those instructions follow.

This ends up being way more convenient. Now all the prompter has to do is conceptualize what they want and expect that the LLM will receive it as instruction. It simplifies prompting and makes the LLM more steerable, more useful, more helpful.

This is further refined through the use of explicit {:user}, {:assistant}, and {:system} tags which divide LLM contexts into different segments with explicit interpretations of the meaning of each segment. This is where "chat instruction" arises in models such as GPT-3.5.
The proportions of this font seem really surprising to me — I don’t know why, but monospace letterforms are rarely so “square”. It really puts me in mind of old 5x5 and 5x7 bitmap fonts, where the resolution constraint meant that you had no choice but to “squash” your ascenders and descenders, moving your baseline toward the middle of the glyph for glyphs with sticky-outy bits.
I don't follow rocket studies.
We don't for sure, but I'm pretty confident it is. Here's why: https://news.ycombinator.com/item?id=35925239
Yes people can finally see if their spouse was cheating. Or learn when a target is typically not at home. Or what church they go to. You are not dumb. The statement in the article is dumb however.
CEOs are also the ones setting things up so that everything important is in the hands of the CEO, which just happens to justify their spiraling pay. Can you imagine if we ran countries that way? The president/emperor/whatever keeps hoovering up more power, which then justifies giving them more and more of the wealth?

Capitalists talk a lot about the power of marketplaces, but internally companies are little feudal empires with ongoing wars of succession. And as The Economist points out, actual marketplace competition is in decline, so there's little in the way of external checks. Especially given that CEO tenure has dropped dramatically, meaning that the correlation between CEO pay and CEO value delivery has also dropped.
Doesn't doing things like this void your car's warranty (at least to those units that are hooked to said wires you're cutting/bypassing?) I'm sure the fuse removeal is fine though. You should put up a dislaimer for unknowing people that this will make their warranty reimbursement tough or impossible. If it's out of warranty of course it doesn't matter.
Case in point: My father was an EE at GM in the 70s. He told me one time that the company knew of a problem in some model from that era where when you made a hard left turn with the air conditioning on, the engine would stall. Fixing it would have increased the cost of each car by 15 cents, so they chose not to fix it. These models were later recalled. I don’t know whether the cost of the recall was more than the cost to have just done it right in the first place.
Responding to prompts like that are part of the 'instruction tuning' process. After an LLM is trained on a large dataset, it will do a decent job of completion, which acts like you describe.

The next step is to further tune it with a specific format. You'll feed in examples like so:

SystemPrompt: You are a rude AI.
User: Hello there!
Assistant: You're lame, go away.

SystemPrompt: You are a pleasant AI.
User: Hello there!
Assistant: Hello, friend!

Then, when you go to do inference on the model, you prompt it like so:

SystemPrompt: You are a pleasant AI.
User: [user prompt]
Assistant:

By training it on a diverse set of system prompts/user prompts/answers, it learns to give outputs based on it.

Additional tuning (RLHF, etc.) is orthogonal.
I read the article. The main point of the article, which is in the title, is directed at LLMs in general. They drew the wrong conclusion and made the title and main point too general.

It actually would have seemed like a valid conclusion (although still too general) if the article came out some months ago. But GPT-4 and the very latest model versions from other companies show they were over-generalizing.

Also the model size isn't necessarily the determining factor.
Government >> regulators. And the government is owned by these corporations.
It's also very unlikely that an LLM would hallucinate a prompt with a spelling mistake in it. LLMs are really good at spelling.
There's clearly no meeting of the minds (I didn't even know about this "agreement", let alone read and agree to it) so I don't understand how the terms could possibly be binding. Failure of the courts, I guess.
For me it's a good place to follow the latest developments happening now in AI
How do we know these are real rules or were just made up on the spot of what it thinks the rules should be for some hypothetic AI engine?
Intuitively this has to be right, ie, stemming, lemmatization plus data pre processing for sentiment has to impact the kinds of reasoning and logic applied. That has to be transitory until models can handle a larger word vocabulary and better development/sanitizer training sets.

It seems fairly pedantic in the meantime to make sweeping projections discounting LLM reasoning, seemingly over a dispute that a flying lemur have wings. Airplanes, hang gliders, kites are all described as having wings, heck even penguins, which do not fly, have wings.
There is a world outside North America.

In that world, specifically Europe, people have gotten much richer but economic inequality isn’t through the roof like it is in the Anglophone countries.

That disproves the idea that it’s some sort of natural law that has led to the massive rise in inequality in Anglophone countries as opposed to deliberate policy choices.

It’s really fascinating seeing Americans, whether on the left or the right discuss issues in the US. At least 80% of the claims and arguments can be dismissed by simply looking at the rest of the world.
Plug: I am a big fan of Build Your Own X educational projects. I have a build your own KV Store project. I have set up this project in TDD fashion with the tests. So, you start with simple functions, pass the tests, and the difficulty level goes up. There are hints if you get stuck (e.g. link). When all the tests pass, you will have written a persistent key-value store.

go - https://github.com/avinassh/go-caskdb

python - https://github.com/avinassh/py-caskdb
Chrome did it first, and (at least on Windows) the system print dialog sucks anyway.
I would never bet against the Japanese or Korean auto makers lol
> our economy which has gotten more and more efficient, and reward a few hundred thousands (or millions) of people who happen to be able to produce disproportionately more things

And where do the heirs expropriating surplus labor time from those of us who work fit into this constellation of efficient people able to produce more? Where does the aristocracy of the Rockefeller/Vanderbilt/Hearst/Mellon dynasties come into this inequality picture?
Depending on your definition of “from scratch” I’d agree it isn’t all that hard.

I mean, if I can do it…

Just a couple days ago I was poking at one of my yak shaving projects which involves a generator for IR nodes as part of a backend for… something, haven’t quite decided where it’s going yet. Doesn’t really matter because it’s just the next logical step after the already written AST node generator.

This is just something I’m doing because I find it interesting and haven’t spent all that much time on it. All I know is if I want to lower AST to IR I need IR nodes and in order to know what functionality a IR generator needs I must have an IR to target.

As they say, you eat an elephant one byte at a time.
This seems to have been one of her last acts before leaving.
Rare Dodge Challenger SRT Hellcat Redeye Gone in 120 Seconds
you don't really know how new that is for different people. I'd imagine 3 months of learning about something interesting gives you quite a good idea about the topic, at least good enough to write about it.
Seth Rogen says he’s distressed by streamer ‘secretiveness’ regarding viewership
So do humans, even smart ones. I've lost count of how many times I've heard people say "I could care less" about something they don't care about.
They have been RLHF (reinforcement learning with human feedback) tuned.

In essence they've been fine tuned to be able to follow instructions.

https://openai.com/research/instruction-following
I'd be interested to hear more about your version control system for visual programs.

Years back, in 2016 I had a prototype visual programming system where I built a partial Git client in JavaScript to automatically save edits to the program to GitHub. It worked pretty well even with it committing every edit (though there were some bugs).

Email is in my profile if you're interested to share.
I worked at a company that was acquired by Microsoft. The training videos are one of the very few things I liked about Microsoft.
IMO IBM Plex is nicer - that's been my go-to monospace font since it was released.
Ouch, I didn't even notice those at first. Those are visibly jarring, and don't seem in line with the rest of the 'look.'
I think the bigger issue is that the racial/sexist/etc content can be shocking and immediately put someone off using the product, which I doubt is the case for the output being “too American.”
> I don’t think I’m willing to categorically dismiss moral relativism,

I'm not a moral relativist, but I think invoking moral relativism here is somewhat beside the point – even if it is true that morality is (somehow) objective, that doesn't mean every moral dispute is resolvable in practice. There are plenty of factual questions which are impossible to answer – for example, what was Julius Caesar's last meal? Most people assume there must be an objective answer to that question, but nobody alive now knows it, and odds are we never will (speculation, guesswork and imagination aside). Well, in the same way, even if it is true that moral questions have objective answers (I for one believe they do), there is no guarantee we can actually know what the answers to all of them are.

Given that, it is reasonable for society to permit people with different moral views to coexist, rather than trying to force everyone to live by the same morality. Of course, there are certain moral issues on which society as a whole needs to take a side – the wrongfulness of murder, for example – but there are plenty of others on which it doesn't have to do so, and probably better not. I think, when it comes to questions of discrimination (on the basis of race/gender/etc), it is good that society seeks to prohibit it in public settings (government, the education system, the workplace, public accomodations, etc), but trying to outlaw it in private is a road to totalitarianism, and that's true even if private discrimination is objectively morally wrong.

Sometimes, an act itself can be morally wrong, but trying (too hard) to stop other people from doing it may also be morally wrong. It is wrong to be rude to your family for no good reason, but it would be even more wrong if the police started arresting people solely for doing that.

> I suppose one can offer up an ethical system that claims to stand independently of biology. If so, I’d like to see it.

You are assuming a materialist philosophy of mind. If a person believes in idealism (as in Berkeley or McTaggart), there is no particular reason why they should expect objective moral truth to be ultimately grounded in biological facts. Scientific theory is famously underdetermined by the evidence, [0] and I think that is true of metaphysical theory as well – there is a lack of empirical evidence to decide between materialism and idealism, and I think the widespread perception that the evidence somehow favours materialism over idealism is mainly due to a failure to take the latter seriously as an intellectual option.

[0] https://plato.stanford.edu/entries/scientific-underdetermina...
ai is already intellectually bankrupt, it's borrowing everything it has from the training set

prescribing moral importance to training set bias is also intellectually bankrupt
Who knew you could take a $100K Challenger by merely climbing underneath, accessing a computer module, cloning a key and driving away. I do not think this will be the only one stolen, Dodge engineers have made it too easy for thieves.
Now we're getting into a different topic. They were really well-rounded machines—I just upgraded to 14" from an M1 Air myself, and only for compile + transcode times—but I wouldn't rank them higher than most others I've had:

- Core 2 Duo Pros proved to me you can have a laptop as your main computer for real dev + video work

- First-gen Retina 15" saved me from daily tension headaches

- Second-gen 12" MacBook, after only having a maxed out 15", changed the way I structure my days and where I consider going to work

I briefly had a Touch Bar supplied by a job; initially it was cool, but after the first month my only use for it was volume and brightness. I thought I wouldn't like going back to function keys but when I got the M1 Air I realized I prefer them
Twitter promoting “cat in blender” when you searched for “cat” is the last straw for me. Whatever Twitter might do, whether good or bad, I’m absolutely done with that platform.
Why? The broader claim is equally true. Other English-speaking countries do not have more than 330mn people.
What don’t you like about Microsoft?
> I'm gonna hope you aren't objectifying a fifteen year old even retrospectively and assume you just felt she was a cool character.

9 year old me totally objectified her upon seeing this film, sue me.

I even ended up dating goth girls in my teens probably because of this movie.
Chat GPT Roleplay – Roleplay GPT
When I was searching for how to roleplay with chat gpt, I found this text based roleplay chat. you can chat with most of the your favourite fictional characters using this. Other than roleplay you can have a casual conversation with them. roleplayGPT.com
People won’t exist who might otherwise have existed.

There is strong evidence that when women have agency, as well as access to education and contraceptives, the fertility rate plummets. Lean into providing those mechanisms.
That’s a stock phrase in colloquial American English. Using it isn’t really evidence that someone “struggles with the concept of negation”.
iPod and iPhone solved problems users had. They needed an easy UI to transition from 12-song CDs to properly tagged 500 track libraries.

The iPhone combined music player, mobile internet device and camera phone in an easy enough to use package for the average cellphone user.

What issue does a headset solve? Apple at least had heavy competition from Blackberry and Nokia back then. Here they are walking in largely unopposed as there aren't enough customers to bother competing over.
Right, but the concern is that bias can show up in more insidious ways.
Congratulations. You figured out half the hype. The other half involves confusing a sigmoid curve with an exponential one.
Found someone who hasn’t tried GPT4.
It feels to me like you're mixing the terms schema and relations/joins.

You can have a schema on a table without any foreign keys or relations. But in the above you seems to use those concepts interchangeably.

Taking OPs comments directly about schemas, it seems true to me.
As Mr Burns so eloquently put it: "I'd give it all for a little more."

What we don't seem to have is enough people embarrassed about being wildly wealthy compared to others. We need more Mackenzie Scotts.

No single human needs a billion dollars. The end.
Instruction tuning is distinct from RLHF. Instruction tuning teaches the model to understand and respond (in a sensible way) to instructions, versus 'just' completing text.

RLHF trains a model to adjust it's output based on a reward model. The reward model is trained from human feedback.

You can have an instruction tuned model with no RLHF, RLHF with no instruction tuning, or instruction tuning and RLHF. Totally orthogonal.
Very glad to see more “low x height” monospace fonts (x height is the height of lowercase letters relative to capital letters; I haven’t checked to be sure but my eyes tell me this is on the lower side). Source Code Pro has been my go-to for a very long time, and it has always bothered me that Apple opted for higher x-heights in their San Francisco re-design of Helvetica (which already has a high x height to begin with).

It’s interesting that they had high-powered readability consultation and a lot of real-world tests with visually impaired developers and still ended up with low x heights. I had heard higher x heights were preferred for readability.
The 'Spy 11' kids with $250B riding on their lives (2019)
Why do hardware companies release fonts? It’s not snark, I am legitimately curious. Is it marketing, branding, something else?
> I almost didn't hire someone because of the socks they wore but my team defended their choice of footwear and we hired them in the end... though the guy in the Christmas sweater wasn't as lucky :)

... what?
All the other letters are nothing out of the ordinary, but the { } look really odd.
Lol. Considering how stacked the odds are against public defenders and in favor of prosecutors I’d say the winner here is the state
Of Illinois that they don’t have to pay severance to get rid of someone who is complaining about having a 20 handicap instead of a 21 handicap.
is anyone else thinking Jetbrains Mono is the best thing ever made for terminal and vim font??
The "Request Access" button currently does nothing
Tucker Carlson is objectively worse than anyone on the left. He advocates blatant racism and fascism, got served with an $800M lawsuit over being caught red-handed telling deliberate lies intended to weaken democracy and got fired for relentlessly abusing his staff. And that comes from Fox and his own text messages. The entire Fox org (and OAN and Newsmax) are now all thoroughly and completely exposed as selling coverage to advance a political and financial agenda. Hannity was coordinating his show with the Trump White House. They are about as corrupt and untrustworthy as any fascist state media.

You absolutely cannot in any semblance of seriousness say anything remotely equivalent of MSM or left wing media. There's plenty to critique but it's marginal compared to right-wing media. And Elon has aligned himself squarely with the propagandists.
A Credit Crunch Is Coming
I'm not sure taxing things is the way to fundamentally alter the way of living in almost every society on the planet.
Ask HN: Suppose you made a big bet on a tiny publicly traded startup
And suppose you were asked to vote as a non controlling investor whether to allocate a bonus to the CEO equivalent to 12 months salary, if certain benchmarks are hit (all of which need to be hit, for the company to be worth anything).

Suppose your vote could tip the difference between forcing a quorum of shareholders and simply allowing this bonus to be approved by the board.

I want the company to hit all these benchmarks, obviously. I'm somewhat concerned and baffled that the CEO wants double his substantial salary just to deliver them. Yet it would be well more than worth the raise if he does deliver. Is it worth a vote against?