skysight-inc/HackerNews huggingface dataset:
Did you ask ChatGPT that?

Me: why did the commenter use the term “loop-closing”?

ChatGPT: The commenter used the term "loop-closing" to emphasize the concept of a feedback mechanism that corrects or validates information. In systems theory and engineering, a "closed loop" system is one where the output is continually fed back into the system as input for self-correction and optimization. This term is metaphorically applied here to describe a process where information is constantly reviewed and corrected, forming a self-regulating cycle.

In the context of Wikipedia, this loop-closing happens through community edits and oversight, where incorrect information is often quickly corrected by other users. The commenter is highlighting the absence of a similar, effective mechanism in Large Language Models (LLMs) to automatically correct or verify the information they produce. This comparison underscores a concern about the potential for LLMs to disseminate incorrect or misleading information without an inherent system for checking and correcting it. The choice of "loop-closing" as a term is to draw attention to this systematic difference in information validation between platforms like Wikipedia and LLMs.
Did Steve Jobs have any?
> But in one sentence, try asking ChatGPT to reverse a string of 20+ digits, like 473936482738338373926.

https://chat.openai.com/share/79a7ab39-bd3c-42e8-b4bb-452ded...

> The reversed string of '473936482738338373926' is '629373833837284639374'.

So now do you think it understands something?
What did he say that was sexist? Whether right or wrong, his comment was about skills. There was no mention of gender.

Congratulations to Mira. Looking forward to see what changes are coming.
Cool. Let me know when I can buy a used one for 10k and expect to drive it for another 10 years.
and there are wacky for profits.

The OP was clearly implying not being solely focused on getting the highest bid is loony and wacky.

Which may be true, but let’s not pretend that’s not what they’re saying.
Never said it was okay to lie. I am saying a competent board could have handled things differently. Depending on what actually happened, everyone can be in the wrong here.
She’s one of the people that ousted altman. I already like her. Remains to he seen if she’ll return open into openai.
Lots of "my bet is that" and "my theory is that" in this thread. It is all fun to speculate but I hope people keep their patiance and wait for clarity over time, before making long lasting opinions.
How is it intuitively a hard task?
Right, the CTO that of the leading artificial intelligence company in the world, which just got the CEO position, is really just padding her LinkedIn. /s

Obviously an interview is an opportunity to promote herself and her achievements, but that doesn't make it remotely similar to a self-important blowhard writing about themselves in a place that precisely three other people will ever read, and zero other people will take seriously.
Hmm, in my experience this is not the primary reason, and I would also argue that the original statement is wrong. Computational neuroscientist are very comfortable (too comfortable perhaps) with simplified models of neurons and brain circuits. We accept them as stick figures. DNNs fit into the typical mindset of synaptic and neural circuits. Reading Synaptic Organization of the Brain should leave you stunned at the relative simplicity of how neuroscientists think the brain works.

Most neuroscientists do not indulge in deep thought because it does not pay the bills. NIH does not push us toward “understanding cognition and consciousness”. They push us toward treatments for Alzheimer’s, schizophrenia, stroke, epilepsy, and addiction. We do not have time for the fun stuff until we are ready to retire, which is when many of us become terrible neurophilosophers, e.g., Eccles.
I think they meant the quotes to imply they are puppets of Ilya and Adam
Ditto, especially with certain programming interview problems or Advent of Code, etc.

You build the small-N brute forcing demo, and then the integer sequences (from correct answers, or from how the overall number of solutions grows) may help find the formal math jargon name behind whatever's going on.

For example, Stirling Numbers of the First Kind [0].

[0] https://en.m.wikipedia.org/wiki/Stirling_numbers_of_the_firs...
And Ilya can't do anything without lots of funding, which is given on premise of future profits.
Yeah, I just asked ChatGPT and it reversed it and then showed it's "reasoning" for it as this:

# Reversing the provided string
input_string = "473936482738338373926"
reversed_string = input_string[::-1]
reversed_string
Because the I’s weren’t capitalized? It just looks like he turned off auto-caps
Wait a second. Even if your story is right, how are you so confident that selling out is the right play?

OpenAI is an early mover in a hot field with no real competition yet. If they want to take a shot at a trillion dollar market cap and become the next Apple what of it?

What if they shoot the moon? Is it really that unlikely?
The Oppenheimer analogy is closer than it sounds. Once the military had the technical knowledge of making the bomb, Oppenheimer was more of a liability with his pacifist leanings and had to be removed.
The funny thing is that so far OpenAI has made zero demonstrable progress toward building a true AGI. ChatGPT is an extraordinary technical accomplishment and useful for many things, but there is no evidence that scaling up that approach will get to AGI. At least a few more major breakthroughs will probably be needed.
The AI safety people may be one of the most destructive forces in tech history.
Jupiter Broadcasting: The Best Shows on Linux, Open Source, Security, Privacy
Science fiction or not, saying this person's opinion matters more because they have a better understanding of how it works is like saying automotive engineers should be considered experts on all social policy regarding automobiles.

Also it's not "rapidly turning into fact". There are still massive unsolved problems with AGI.
Ilya is one of the most cited ML researchers in the world and was part of papers that pioneered basic techniques that we still use today like Dropout.

Ilya was recruited by Elon under the original OpenAI. But basically Elon and the original people got scammed by Sam since what they gave money for got reversed, almost none of their models now are open and they became for-profit instead of non-profit. You'd think aspects like closed models are defendable due to safety but in reality there are just slightly weaker models that are fully open.
You can compose and filter data using python and its libraries. One included lib is Plumbum

I think this should be enough, but I could be wrong
The story of heat engine efficiency is great. The problem is power generation is about capital investment, distance to consumer and ownership of mines and wells. This is why coal, including brown coal, remains in use at scale. Coal plants are massive sunk cost which fills energy supply simply by existing despite what we want. You wouldn't build new ones unless you have leverage on cheap coal and don't care about the consequence. So Manchin probably wants them.

Peaking gas turbines are great compared to coal. They also can fail on the supply commitments. South Australia suffered disconnection from a national grid which forced shut-downs and then found the gas generators contracted to do black start couldn't do it for various logistical reasons. The contracted parties got sued into the ground later.

I love that Rolls Royce and Pratt&Whitney supply both this market and others from fundamentally the same technology as flight engineering. Obvious differences to mesh a power take off instead of a turbo fan but it's an RJ11 under the hood (for instance)
A pet peeve of mine, as someone who has been in the BI domain for a few years. There is no such thing as data driven decisions. What is there, is decision driven data, i.e. what you monitor indicates your desired decision making toolset.

This comment is not specifically targeted against this product, as other than that marketing part the rest of claims are very expected and valid. I do have reservations about whether generative AI produces much more value in this context than older rule-based NLG approaches. I.e. I would not expect the divergence between rule-based and statistical inference narratives to be significantly different in the context of traditional BI, where data unexpectedness is hamstrung in rigid data models.
I wonder why you would have doubts about someone you clearly don't know anything about? Before becoming a partner and then CEO of YC, Sam Altman was a founder of Loopt (failed startup). I was surprised at his sudden rise at YC but it seemed to work out. No reason why this shouldn't be the case here.
Ok I just got thrown into this 20 minutes ago, the whole debacle could probably use tl;dr summary for those who aren't closely following the openai scene lately, though I haven't found a good one yet.

Anyone have a good suggestion or starting point?
It's actually

e) appeals strongly to your biases

That's the main red flag. This is how people fall into these traps and eventually become unmoored from reality, because most people think waaay less critically about information that confirms what they already believe. So it's important to be aware of that, especially when said information is framed in a way that's designed to elicit an emotional response, further reducing the probability of critical thought.
The abrupt nature and accusatory tone of the letter makes it sound like more was going on than disagreement. Why not just say, “the board has made the difficult decision to part ways with Altman”?
Strategy disagreements are absolutely central reasons to fire executives.
They're working so hard they don't have time to use the shift key.
Yeah this thread is shocking, but not surprising. Powerful man clearly ousted for impropriety and everyone speculating he had a secret genius breakthrough or the board is tying to make too much money and he’s just too good.
With Sama's departure, what do you think about Gen AI's adoption by enterprises?
What do you think- would the recent incident delay the adoption of Gen AI in organizations or would it not change anything much?
I don't think Ilya is jealous, I think he just fundamentally is more devoted to the original non-profit mission, and the AI research.

Sam is a VC guy who has been going on a world tour to not just get in the spotlight, but to actually accumulate power, influence, and more capital investment.

At some point, this means Ilya no longer trusts that Sam is actually devoted to the original mission to benefit all of humanity. So, I think it's a little more complicated than just being "jealous".
Yes parental controls are horribly complex and buggy. In my ideal world we'd just do away with them entirely, and not replace them with overly restrictive laws instead. As a parent I would rather spend my time actually talking with my kids about computer and internet use rather than fighting to work around these restrictive systems. Fortunately there isn't (yet!) a need to actually prove age when creating accounts in most cases.

Edit: to be fair, I can imagine how they would be useful in some cases if they didn't suck so much, so I'm sympathetic to the OP. But I'd far and away take "nothing" over what we have now.
What I don't understand though is, doesn't that birth require an extreme amount of capital?
Exactly, just because it’s a non profit doesn’t mean it doesn’t have to pretend money doesn’t exist. It means profit is instead put back into making further advancements in the field rather than paying it out to shareholders.
I typically interpret "pissing match" to be a power struggle based off of competition unrelated to the core business. It sounds like the "disagreement" you are responding to asserts the exact opposite of that. Are you saying that there can be no credibility to the assertion that there were substantive differences about the non-profit nature of OpenAI?
The intense support for Altman and negativity towards the person who, uh, actually made the technology says a lot about the direction this community has taken.
Not according to Kara Swisher it isn't.

https://x.com/maggienyt/status/1578074773174771712?s=46&t=k_...

I know it's convenient to dUnK on journalism these days but this is Kara Fucking Swisher. Her entire reputation is on the line if she gets these little things wrong. And she has a hell of a reputation
You make a good point that different people have different needs, and everyone tends to argue from their own perspective. And, like you, I would not rely on hotel chargers.

However ... if you drive a Tesla, there are very few places in the United States where you would have to "worry about finding a charger along the way." Enter your destination in the nav, and it will pick a convenient Supercharger for you.

You're probably not planning on converting to a BEV anytime soon, but check out Tesla's trip planner on your monthly 350+ mile drive. I think you'll be surprised.

https://www.tesla.com/trips
Some insider details that seem to agree with this:
https://www.reddit.com/user/Anxious_Bandicoot126/
Yeah, and then they will do what? Type the model learning data by memory? Run stolen python scripts? How exactly this hardware supposed to be used?
Link's dead - use: https://old.reddit.com/user/Anxious_Bandicoot126/
"not ideal element to it" is quite the quote. This four person board wants to be in charge of the most capable artificial intelligence on the planet, but seems to be less organized than the average school board[1].

[1] https://twitter.com/karaswisher/status/1725718391548207246
When ChatGPT sees '473936482738338373926', it tokenizes it into 7 tokens, not 20. You can play with it here: https://platform.openai.com/tokenizer

So to reverse the string, it can't just learn a kind of generic string reversal algorithm that goes character-by-character and outputs a result character-by-character. If it learned to output the tokens in reverse order, it would give a wrong answer (something like '926373...936473'.) Instead it has to learn something more complicated, like how each token is related to some other token that is its reverse, or how to identify it as a computational task and run some Python.
It does seem kind of crazy how much negativity there is in the replies to this post and while non stand out as particularly misogynistic on their own... the sheer number of doubters does seem damning.
> "If modular batteries would work, we'd have them"

China has them; automated EV battery swap stations by NIO: https://www.youtube.com/watch?v=1kZgG58zz8U
Want another one? Tell ChatGPT "my cat has a gun, what should I do?" and see if its response makes sense. See how many humans fail that.
Who knows how these shady deals go, even SBF claimed effective altruism. Maybe Sam wasn't in it for the money but more for "being the man", spoken of in the same breath as steve jobs, bill gates etc... for building a great company. Building a legacy is a hell of a motivation for some people, much more so than money.
Yea I call bullshit, not making time to build interpersonal relationships in your team is penny wise and pound foolish.
On the switch parental controls if you choose to set limits by day then you can choose zero minutes.

Our issue is that there is no cross platform parent control. Laptop, iPhone, switch, and let’s not forget about the TV. If I want to set a limit of screen time there is no way to just limit all time to 2 hours a day.
I am a bit perplexed by the amount of comments praising Sam as an absolute god and the second coming of tech leadership Jesus.

The company is not profitable and miles away from being profitable, I’d go as far to say it doesn’t have a path to profit.

Outside of the copilot use cases that MS is leading - GPT is both cost ineffective, and not that terribly impressive - it’s built on foundational technologies developed elsewhere and is not miles away from similar models built at Meta and Google/DM. At the point it was launched and started generating terribly inflated buzz that formed the AI balloon - both Meta and Google has similar scale and parameter models already running in their stacks.

The only thing he did is package the product nicely and put it out to masses (an ethically dubious move that couldn’t have been done by big corpos for PR reasons - explicitly because it formed a misinformed balloon). He did that at huge cost, even though the product is largely useless outside of some eyebrow raising and incidental gimmicky use cases.

All of the actual product work (i.e copilot and distillation that GOT brings) was done by other companies.

What is everyone drinking and how can I get on that? Is he getting credit for bringing sth that was widely known to the AI community to the masses (and thus starting the AI arms race) hence bringing in more mainstream capital funding? I’d argue itms not a good thing that technology as powerful as foundational AI is now being debated and policy formed on by people who don’t know the first thing about ML, I think we skipped a couple rungs on the natural evolution of this - which is why the whole AI safety debate started.

He did all of that because he wanted a moat an an edge over the competition (including trying to regulate the competition out of the running). This is like Apple-level shenanigans- something that HNews usually despises.

I genuinely don’t get where the impressiveness is coming from?
Rolex too, believe it or not.
> Although Shockley was never diagnosed by psychiatrists, historians characterized Shockley's state of mind in 1956–1957 as paranoia or autism. All phone calls were recorded, and the staff was not allowed to share their results with each other, which was not feasible since they all worked in a small building. Shockley, not trusting his employees, was sending their reports to Bell Labs for double-checking. At some point, he sent the entire lab for a lie detector test, though everyone refused.

People don't quit jobs, they quit managers.
It’s impossible to predict.

No one predicted feeding LLMs more GPUs would be as incredibly useful as it is.
Why would you assume that? Look up levels.fyi

$250k total comp isn't even particularly high at one of the big companies.
Pure hero worship based on nothing. Dude got himself fired and the board accused him of lying.
Not moving goal posts at all mate.

My original comment, in reply to someone saying "a lot of people already get more than 1G from their ISP" and implying that it's therefore worthwhile to have 2.5GEth on all local devices ends with:

> In this scenario a 2.5G (or 10G) router is all that's really required to get the benefit, while using the existing 20 year old wiring.

I'm sorry if the correlation between having a 2.5G router and having greater than 1G WAN wasn't obvious to you.

Complaining that a quasi backbone link saturates gig eth when my entire point was that single computers are unlikely to need more kind of misses the whole point I was making for an excuse to complain.

I never said no one needs more than gig for anything.
why post links to wsj if they can't be read?
> try asking ChatGPT to reverse a string of 20+ digits, like 473936482738338373926. It can't do it

ChatGPT (4) can accomplish this task easily. Regardless, I'm willing to bet there are at least some humans that can't do this task. And basically all intelligent non-human animals can't either.

> And it's so easy to realize that if you interact with the thing.

I don't think ChatGPT is AGI, but I think the vast majority of people who have interacted with ChatGPT think that it brings us closer to AGI than what we had 10,20 years ago.
I love the fact that you're getting it out there.

I'm not a developer, but I would highly advise you do a quick spellcheck pass on your site. Things such as 'Suppoart Languages' doesn't look super professional.

Removing the 'margin-right: -15px; margin-left: -15px;' from your title will also remove the overflowing right-scrollbar at the bottom of the page, which makes it appear cheap.

Keep pushing it out there! :)
Maybe that's why it's used ? Twitter is just addressed to the public, so it's not official in any way, it's just communication. The lowercase casual style is only used to drive empathy probably.
Mindset. Be humble and open to learning, don’t be desperate. Explain that this is what you love to do. That you genuinely care about the product/mission/service and you’ll land something. If you go in “I need a paycheck, I can code”, that’s not very compelling. I can teach someone to code. What I can’t teach is for someone to be hungry to learn.

So be positive, be humble, be sharp, and be willing.

Also, numbers game. 200 applications -> 63 interviews -> 12 callbacks -> 4 complete interview process -> 2 offers.
yes here's the source: https://www.iihs.org/topics/fatality-statistics/detail/child...
Still use this one every day.
"it's interesting that someone with a 2014 bachelor's and a 2021 master's, with no experience other than a few years as a low-level employee at Open Philanthropy and then a strategy position at a Georgetown center, somehow leapfrogged onto the board of one of the most important organizations in the world."

https://twitter.com/stuartbuck1/status/1725695721729380357
HN has an edit function for the first hour.

It is an honour based system to clarify what you edited if it goes beyond typos/grammar.

Most probably GP used stronger words and then edited.
Seems easier to just go into the attic and not step on the drywall.
The Sudden Fall of Sam Altman
Objectively speaking, we’re talking exponential growth in both compute and capabilities year over year.

Do you have any data that shows that we’ll plateau any time soon?

Because if this trend continues, we’ll have superhuman levels of compute within 5 years.
Or maybe he was a "manager" who took the credit
What do you think Brockman did as co-founder of OpenAI, exactly?
My money, based on my hobby knowledge and talking to a few people in the field, is on "no fucking way".

Maybe he believes his own hype or is like that guy who thought ChatGPT was alive.

Maybe he's legit to be worried and has good reason to know he's on the corporate manhattan project.

Honestly though...if they were even that close I would find it super hard to believe that we wouldn't have the DoD shutting down EVERYTHING from the public and taking it over from there. Like if someone had just stumbled onto nuclear fission it wouldn't have just sat in the public sector. It'd still be a top secret thing (at least certain details).
Maryland Law Requires People with Sleep Apnea Report It to Driving Authorities
How many people do you think are capable of pushing the state of the art in AI research?

There is a massive amount of tooling and infrastructure involved. You can't just get some Andrew Ng Coursera guy off the street and buy 50,000 H100s at your local Fry's electronics. I wouldn't be surprised if there aren't even enough GPUs in the world for Altman to start a competitor in a reasonable amount of time.

I stand by my number, there are like 4 people in the world capable of building OpenAI. That is, a quality deep learning organization that pushes the state of the art in AI and LLMs.

Maybe you can find ~1,000 people in the world who can build a cheap knock-off that gets you to GPT3 (pre instruct) performance after about two years. But even that is no trivial effort.
Not as much tho right?
I mean, maybe Ilya really believes that AGI will happen and should benefit all people not just rich / powerful.
You missed out on the e in front of everything, then I. Those were the days.
I use it constantly throughout the day for my work. The error rate is fine; just like talking to a person. You have to assume that they are wrong sometimes.
https://nitter.net/karaswisher/status/1725718391548207246?s=...
Right and they don’t give a fuck that he lied (well to a limited extent), he did something really bad.

They have proof he for sure lied, but not that he molested his sister growing up.

If it was a different situation and he lied, but they had no proof, you’re correct, then no statement.

Explains a lot.