skysight-inc/HackerNews huggingface dataset:
These statements are hilarious.

You're assuming that every human on earth is extremely selfish.

If what you say is true, there would be no teachers in the world. Because most teachers make less than the students they teach.

There are unselfish people out there.
the name OpenAI itself reminds me every day of this.
If everyone with flaws is disqualified, or is equal to everyone else with flaws, then it all loses meaning.

I'm not certain those were flaws in forsight, or necessarily even in hindsight. Regardless, those leaders did not preach or lead on the basis of fear, hatred, an ignorance.
Boeing Starliner's debut crewed flight delayed again to check helium leak
The link doesn't work for me as I don't have an X account, but you can see more in this Ars Technica interview with the X poster: https://youtu.be/sw0VfmXKq54?si=4YBBaqoOEKvs3iuN
It's more like conspiracies fall apart whenever there is more than 1 person. When there are 800, then it's over immediately.

Evil or shady acts must first be illegal to be potentially prosecutable crimes or be injurious to have standing as tort claims. And limited liability isn't unbounded.
True, but if you research lots of sources and still emit significant blocks of verbatim text without attribution, it’s still plagiarism. At least that’s how human authors are judged.
The startup world (as the artistic world, the sports world, etc) values healthy transgression of the rules

But the line between healthy and unlawful transgression can be a thin line
Turn your screen brightness down. This solves so many cases of "I have to use dark mode or my eyes burn."
Here's something I just don't understand. I have a profit sharing plan *for life*, and yet I want to publicly thrash it so that the benefits I can derive from it is reduced, all in the name of some form of ... what, social service?
Every shader depends on both the driver version and the model of your GPU itself. Which means a lot of shaders. I think Valve had a version of it though but not without issues (GBs of shaders to be downloaded)
The term AI has been around a heckuva lot longer than the current LLM hype. It's not unreasonable to make that assumption, to link it along the lines of what AI really means vs how the term has been used as of late.
Is the randomization done by the journal or by the autors?

Can the authors do AⓡB,C,D,EⓡF? (I one almost got an asterisk to mark that I was as last as the last one. After some reorganization I think I got the second position without marks. A,B,C,D,EⓡF -> A,E,B,C,D,F)
> But I still can’t grasp how we’ll achieve AGI within any reasonable amount of time.

That's easy, we just need to make meatspace people stupider. Seems to be working great so far.
The problems described sound like they have more to do with government interference. How would yubico be responsible for delays multiple shipment companies have and are unable to talk about?
Correction!

Elon Musk (Lone Skum) is the catchphrase.

A catchphrase is a phrase or expression recognized by its repeated utterance.

Has anyone heard of that smuk?

Such phrases often originate in popular culture and in the arts, and typically spread through word of mouth and a variety of mass media (such as films, internet, literature and publishing, television, and radio). Some become the de facto or literal "trademark" or "signature" of the person or character with whom they originated, and can be instrumental in the typecasting of a particular actor.

Exactly.

Catchphrases are often humorous, but are never long enough or structured enough to be jokes in themselves. However, a catchphrase can be (or become) the punch line of a joke, or a callback reminder of a previous joke.

Precisely!!
This sounds very illegal, how is California allowing this?
Pi = 3 just looked like some of the more budget games of the era.
right. the time tracking needs to be automatic in some form. a small tool that tracks your working time (plenty of those to choose from, and maybe there is even one that tracks your pause time too) and then a break activity that is easy to measure.

the important part is to set things up in a way so i don't have to think about it.
Why so much negativity? An angry crowd sounded more like bots trying to test OP's intelligence by exploiting the ReadMe file imperfections while trying to change the context and intent of the post. It's so ignorant and brutal. They spent hours arguing without taking 2 minutes to properly read the ReadMe file.OP is a one man's show and now they all want to piss on OP. Keep going OP!
> After training your AI model on the 1st quadrillion images, trillion videos,

As far as images and video are concerned, we're done. Frame generation is almost perfect, and we don't really need any more training data. Now it's time to build product and enhance how the models work.

LLMs, though? That field appears to have hit a wall for now.

AI for media is going to be a rocket ship. AI for knowledge and text and reasoning will take longer. People will recognize this soon.
Uh... But how do you get there? My understanding as a lay-person is that you can't get past the event horizon without getting spaghettified, and cooked by high-energy blue-shifted radiation.
The first video card with a programmable pixel shader was the Nvidia GeForce 3 (NV20), released in 2001. [1]

1: https://www.techpowerup.com/gpu-specs/nvidia-nv20.g644
> Imagine presenting yourself as a champion of DEI, cloaked in righteousness, while secretly defrauding your company with boundless greed.

It’s pretty easy to rationalize. These companies are owned and run by rich white billionaires, so you could easily argue that it’s perfectly fair and equitable for a person of color to take whatever they can get from these companies. Call it reparations.
I use Brave on mobile and didn’t get any ads in the video.
Yeah and good luck if your native language requires CJK characters, right-to-left scripts like Arabic, or whatever. Fortunately Unicode is fairly good nowadays but the olden days of the wild west of encoding was terrible.
https://apple.stackexchange.com/questions/74507/cut-paste-fi...
The space of possible encodings and languages is still far smaller than the space of possible document formats.
The tipping point for solar and wind being cheaper (LCOE) and cleaner to deploy and maintain rapidly overtook all other forms of energy (coal, gas, nuclear, and hydro) in more and more markets over time thanks to the economies-of-scale of more deployments and improved manufacturing processes. There are some markets where coal or gas is the cheaper and expedient solution for now where local LCOEs are different, but not for long.

https://ourworldindata.org/cheap-renewables-growth
I'd agree with what you're saying, but the jump to "not believing in superintelligence" doesn't make sense either. Are you implying that humans are the absolute peak of intelligence or that computers can't ever achieve something that is even just one iota better than human-level intelligence?

There's one thing machines have that we don't: time. A human-level AI would be better than a human because you can ask it to solve a problem for years on end without ever resting.
> From an outside observer they never cross the event horizon, due to the time dilation mentioned by the other comment.

Doesn't that imply that if we look at a black hole from a safe distance, the event horizon will appear to be a cluttered frozen motionless ring, full of all the stuff that is in the process of falling in but which from out point of view, never will?
But more friction to use from just about every other language.
Maybe if you can create nano-blackholes and explode them later in a controlled fashion?
I just spent the past 5 hours comparing LLMs
The top 2 takeaways I took from this is that.

1. No one should still be using GPT 3.5 or Gemini 1.0, They may get the job done, but 98% of the time one of these LLMs (Gemini 1.5 Pro, Bing Copilot, ChatGPT4o, and Perplexity) will give you a better response.

2. The best way to always get the best response is by always comparing multiple AI Chatbots and choosing the best answer. This is because

If you are only using ChatGPT-3.5, llama3, claude sonnet, or mistral 100% of the time there is another LLM with a better answer.
If you are only using Gemini 1.0 96% of the time there is another LLM with a better answer.

If you are only using perplexity 86% of the time there is another LLM with a better answer.

If you are only using ChatGPT-4o 73% of the time there is another LLM with a better answer.

If you are only using Gemini 1.5 Pro 73% of the time there is another LLM with a better answer.

If you are only using Bing Copilot 73% of the time there is another LLM with a better answer.

I personally used chatplayground.ai to compare all of them.

I stopped using chatgpt 3.5 a long time ago because this gives you all the pro llms for the same price as gpt4

It is very important to note this research was done on a very small dataset of 22 questions.

The best LLM answer for each question was decided by me simply putting myself in the choose of the person asking that question and deciding which output is the most helpful.

Perplexity is good at giving you a completely answer, most llms will give you bullet point answers, perplexity perfers to write out a complete answer rather than just giving bullet points

Bing Copilot is great because it cites its resources, will even recommend videos to help you

ChatGPT-4o has really descriptive and usually longer answers, but prefers to answer in bullet points

Gemini 1.5 pro is great because it feels like it understands the context of your question more by having a conversational tone

Bing copilot can be great but 20-30% of the time the answers it gives are not even usable

Because Bing copilot is using sources to give you answers the answers feel much more human like and at times more useful then other LLMs that just list a bunch of basic bullet points

Their should be no reason anyone is still using ChatGPT 3.5 today

Gemini 1.0 gives good answers but not as detailed and helpful as Gemini 1.5 Pro

ChatGPT-4o was able to generate really nice data tables, that Gemini 1.5 Pro wasn't able to.

ChatGPT-3.5
ChatGPT-4o
Gemini 1.0
Gemini 1.5 Pro
Bing Copilot
Claude Sonnet
Llama 3
Mixtral 8x7b
Mistral Large
Perplexity
Maybe because MSN doesn't have a paywall?
True.

Making people believe that anything but their own body and mind can be considered part of their own properties is stealing their lucidity.
> Folks much smarter than I seem worried so maybe I should be too but it just seems like such a long shot.

Honestly? I'm not too worried

We've seen how the google employee that was "seeing a conscience" (in what was basically GPT-2 lol) was a nothing burger

We've seen other people in "AI Safety" overplay their importance and hype their CV more than actually do any relevant work. (Usually also playing the diversity card)

So, no, AI safety is important but I see it attracting the least helpful and resourceful people to the area.
NDA's don't rely on copyright to protect the party who drafted it from disclosure. There might even be an argument to be made that training the LLM on it was disclosure, regardless of whether you release the LLM publicly or not. We all work in tech right? Why do even you people get intellectual property so wrong, every single time?
ROFL how is this even legal?
Essentially the story is JPO falls inline with IP Australia, EPO, UK IPO, USPTO, etc?, on the DABUS applications: https://en.wikipedia.org/wiki/DABUS.

I think they may be the first to suggest in court that a different IP system might be used for AIs though?
Getting past the event horizon of a small blackhole is tough, the gravitational gradient causes spaghetification. However larger blackholes lessen the gradient at the event horizon, so it's not a problem.

Not sure about the inner horizon, just saw a discussion of the paper for a spinning black hole recently, it described three distinct regions.
I had the same problem with leaking helium with my kids party balloons a few years ago.

Little kids dont have the strength to tie the knots tight enough

Soon sorted that one out.
[I am one of the authors].

We have a follow-up work (admittedly, more technical) that can remove reliance on m completely: https://www.cs.toronto.edu/~meel/Papers/pods22.pdf

But yes, our theorems can be reworked to estimate the confidence/error rate; that's what Knuth did: https://cs.stanford.edu/~knuth/papers/cvm-note.pdf
> By that definition, not removing graffiti (aka doing nothing) is not encouragement, [...]

"Doing nothing" results in encouragement in the broken windows theory:

Under the broken windows theory, an ordered and clean environment, one that is maintained, sends the signal that the area is monitored and that criminal behavior is not tolerated. Conversely, a disordered environment, one that is not maintained (broken windows, graffiti, excessive litter), sends the signal that the area is not monitored and that criminal behavior has little risk of detection.

In my understanding stopping encouragement is maintenance work, while starting discouragement is social work. And by doing the (simpler) maintenance work a (costlier) social work won't be necessary.
They are both abusing. Allowing both to go as they are does not pick winners or losers. While you are right in theory, in practice it takes years for antitrust trials to go through - and they fail often.
It's not like L1 support can make official statements on their own initiative. That was written by someone higher up and they're just copypasting it to panicked customers.
Very good, but I could do without the ominous music
In my opinion you could make an LLM 100x bigger and it would only get better at generating the next token in a sentence. And everyone knows that the best sentences are not constructed by the most intelligent people with the most accurate world model, but by the people who are best at constructing sentences. It's a dead end in terms of real intelligence and reasoning imo.
The first "kosher" brand that advertises on NSFW contexts can take my money.
OpenAI is outputting the partially copyright-infringing works of their LLM for profit. How does that square?
How silly.
It still think it makes little sense to work on because guess what, the guy next door to you (or another country), might indeed say "please blend those humans over there", and your superaligned AI will respect its owners wishes.
They're the agency that is investigating and charging people with the crime-they're not supposed to be neutral. It's the judge and jury that are supposed to be neutral at trial.
That's another advantage of making live connections when forwarding. The errors always go back to the real sender.
Wow! This is pretty cool.

> With only instructional materials (a 500-page reference grammar, a dictionary, and ≈ 400 extra parallel sentences) all provided in context, Gemini 1.5 Pro and Gemini 1.5 Flash are capable of learning to translate from English to Kalamang— a Papuan language with fewer than 200 speakers and therefore almost no online presence—with quality similar to a person who learned from the same materials. Moreover, we add in 45 minutes of transcribed Kalamang speech recordings to demonstrate that Gemini 1.5, for the first time with an LLM, can leverage mixed-modal documentation to learn speech recognition for a new language in context.
Looks like a lot of effort has been put into this, very nice. Your only other option is to figure out best of breed open source solutions like HAProxy. I guess you could also use the the community edition of Zevenet. Makes my commerical Loadbalancer.org appliance interface look a bit clunky actually.. sigh..
When?

I think the timeline matters here. While the effect of CO2 emission on global warming are known (to some extent) for more than a century already, in the eighties and early nineties, it was not a chief concern of the general populace in Europe, while the (perceived or actual) dangers of nuclear energy certainly was.
The following is also not correct.

if k not in mem:
mem += [k]
if k in mem: # not the same than "else" here
if np.random.rand() > p:
mem.remove(k)

Your final solution is indeed correct, and I think more elegant than what we had in our paper [I am one of the authors].
Well, that use of jealousy is only really common in certain romantic situations. Like if some super good looking dude hits on your girl and she responds in an ambiguously-flirty way, you might definitely be said to be jealous, even though she didn't run off with him.

In most other domains, though, like this one, jealousy and envy are synonyms. https://www.merriam-webster.com/dictionary/jealousy#did-you-...
Brutalism is anything but fascistic (social housing). In fact brutalism is the extreme emphasis of simplicity and minimalism through mathematical forms. Fascist architecture (and fashion and art in general) on the other hand is extremely ornamental. But in a world that quickly forgets what Nazism and Fascism really is you might be forgiven for your ignorance.
This is the most dystopian thing I've read all day.

TL;DR train a seed AI to guess what humans would want if they were "better" and do that.
Agree that it was not a great article, but I think the main point he made was that the commercial winners will be those that can deliver to customers. OpenAI with its relationship with Microsoft will have exposure to that but even a lessor LLM that is tightly integrated with your gmail and the google suite, or is running privately on your iPhone with your iCloud data, or is 'free' will be the winner. Apple, Google, and Meta can spend 10s or 100s of billions of dollars to build AI tools to support their other profit making products. I'm a happy paying OpenAI customer, but the majority of the world (where the money is) will happily use the AI that comes with their phone, search engine, or word processor.

> The reason for my bearishness is simple: OpenAI, the software company, will ultimately lose to Apple, Google, and Meta. OpenAI, the hardware company, will also ultimately lose to Apple, Google, and Meta. Their only hope is to be the first to AGI.
Key things I see people in this thread get wrong:

- These drones are only responding to 911 calls as an additional eye-in-the-sky agent, not performing constant surveillance of the population

- The drones don’t replace agents, they supplement them. Instead of having one agent show up after 5minutes, now there will be one additional eye in the sky giving situational awareness after 60seconds, AND the agent after 5minutes.

- The drones dont fly low/close enough to easily be taken out by throwing stuff at them or even shooting at them

- Should be obvious, but no these drones don’t have weapons and there is no plan for it. (Although I’m sure that other kinds of drones with non-lethal weapons will be a thing in the future)
If you liked that - this one on the cell’s energy systems blew me away when I first saw it https://youtu.be/LQmTKxI4Wn4?si=7KEKwFjfLrwyCLvW
What kind of question is this? Why would it and why is it obvious? Could you state your reasons and/or qualifications for this statement? Rather than having random people speculate as to what you mean? This question seems designed to fish for low quality replies.
It's for the good of humanity, right? /s I wonder if Lex is going to ask Sam about it the next time they get together for a chat on YouTube?
I’ve encountered similar issues for long lived tokens in cookies on Safari.

Turned out my Maths was okay, but Safari under many circumstances removes first party cookies after 7 days.

https://snowplow.io/blog/tracking-cookies-length/
> Sam and Mira. greedy as fuck since they are con artists and neither could get a job at that level anywhere legitimate.

Hey hey hey! Sam founded a 4th most popular social networking site in 2005 called Loopt. Don't you forget that! (After that he joined YC and founded nothing ever since)
you got the math wrong. that's a quarter break

it's 12 hours of work and 8 hours of sleep.

and suddenly it all makes sense. while your mind takes a break from work, your body isn't, and that's why it needs those 8 hours of sleep.
Ok, given that restrictions I can see how you can arrive at a pragmatic solution, so long as we don’t have the illusion this is actually a solution.

For example, giving it a small corpus of my previous handwritten work and asking it to respond in the same style is exceedingly easy and very, very hard to detect. Especially if you run a small algo on it afterwards to introduce your category of typos etc.

It is only a matter of time before services will pop up for students that automate/wrap this.
BMW did something similar a while back: https://www.youtube.com/watch?v=6QfNm03nhO4
To add to a sibling comment, if you're interested in learning a bit about the both the Gaussian (as in a density estimator like Gassian Mixture Models, aka GMMs) vs Gaussian Processes (GP), I have some write-ups here: [1] and [2].

[1] Fun with GMMs https://blog.quipu-strands.com/fun_with_GMMs

[2] This is a larger article on BayesOpt, but I've a section dedicated to GPs: https://blog.quipu-strands.com/bayesopt_1_key_ideas_GPs#gaus...
It's relatively easy to get the document format by using a heuristic on "not so plain" text, not to be talking about more "binary" formats which are even easier to recognise, for example to differentiate between Markdown and Org-Mode and RST, or the different Markdown variants. It is (almost) impossible to get the encoding (welcome to ISO 8859-? vs. Windows-????) or even the used codepage right.

Take at look at the "reality": there are converters for almost any file format and file format descriptions for (almost any imaginable), so there is a chance to read or write almost any format by yourself (yes, some can be really complex, as for example some 3D formats like 3DS or LWO).

I don't mean to say that somebody shouldn't use "plain text" for themselves, but that the idea of "this is plain text, this works everywhere and anytime" is not true.

And the list of known codepages (and I can guarantee you there is some hardware - a printer - out there that uses it's own, because it had been only ever used with it's own printer driver/program/...): https://en.wikipedia.org/wiki/Code_page
First, thank you for probably being the first person to recognize in print that it wasn’t easy to stand up to these folks in public, plenty have said things like “you’re fighting the good fight” in private, but I think you’re the first person to in any sense second the motion in my personal case, so big ups on having the guts to say it too.

I’ve never been a YC-funded founder myself, but I’ve had multiple roommates who were, and a few girlfriends who were on the bubble of like, founder and early employee, and I’ve just generally been swimming in that pool to one degree or another for coming up on 20 years (I always forget my join date but it’s on the order of like, 17 years or something).

So when a few dozen people you trust tell you the same thing, you tend to buy it even if you’re not quite ready to print the worst hearsay (and I’ve heard things about Altman that I believe but still wouldn’t print without proof, dark shit).

As the litany of scandals mounted (Green Dot, zero-rated pre-IPO portfolio stock with like, his brother involved, Socialcam, the list just goes on), and at some point real journalists start doing pieces (New Yorker, etc.).

And while some of my friends and former colleagues (well maybe former friends now) who joined are both eminently qualified and as ethical as this business lets anyone be, there was a skew there too, it skewed “opportunist, fails up”.

So it’s a growing preponderance of evidence starting in about 2009 and being just “published by credible journalists”starting about five years later, at some point I’m like “if even 5% of this is even a little true, this is beyond the pale”.

It’s been a gradual thing, and people giving the benefit of the doubt up until the November stuff are maybe just really charitable, at this point it’s like, only a jury can take the next steps trivially indicated.
They have somehow mastered the dark art of persuading Openreach to actually fix things
https://archive.is/ctb5G