skysight-inc/HackerNews huggingface dataset:
Supreme Commander's getting its own spiritual successor:

https://www.sanctuaryshatteredsun.com/
From the images I’m guessing Qt, so not truly native.
So what happens when the Altman and the board's views are concluded to be completely incompatible? How do you fix that clash without one side giving up?
problems have solutions. I don't mean "wrong" as in "end of the world"
Well, now I kind of feel obliged to share this reaction to (a) Zero-K story by... "Hitler" :

https://www.youtube.com/watch?v=9IP1mp3cgRo

(I'm not exactly sure what the current official lore is - at some point it has been added to the campaign though, but also of note : both TA faction have been compressed into one and then split into 11+1+1 factories for gameplay reasons.)
In the 90's I got an inside tour of PDX airport.

They had these systems and a camera pointed right at one to rasterize them.

At the time, a whole lot was still analog. Beautiful systems.

Saw one of those 9 track tape drives too. On a seek, tape would just dissappear from one reel and accumulate on the other one --fast!

And then CLACK! It would stop and just start reading at what looked like normal speed. Was kind of impressive in its own way too.
Can't find the article right now, but there was one circulating that heavily implied that various SV execs began their rounds of layoffs last fall at least partially or probably inspired by the demos they'd seen of OpenAI's tech.

Microsoft in particular laid off 10,000 and then immediately turned around and invested billions more in OpenAI: https://www.sdxcentral.com/articles/news/microsoft-bets-bill... -- last fall, just as the timeline laid out in the Atlnatic article was firing up.

In that context this timeline is even more nauseating. Not only did OpenAI push ChatGPT at the expense of their own mission and their employee's well-being, they likely caused massive harm to our employment sector and the well-being of tens of thousands of software engineers in the industry at large.

Maybe those layoffs would have happened anyways, but the way this all has rolled out and the way it's played out in the press and in the board rooms of the BigTech corporations... OpenAI is literally accomplishing the opposite of its supposed mission. And now it's about to get worse.
My understanding is that newer nuclear is better and ramping up and down? Perhaps SMRs can also help with this too? (e.g. turning on and off individual SMRs as a sort of "dithering".)
MPI is industry standard at this point.
I haven't decided yet what I'm going to do with it. I think ideally I would open source it for people who have GPUs but also run it as a paid service for people who don't have GPUs. Open source that also makes money is always the holy grail :) I'll post updates on my Twitter/X account.
I'd add to this: going outside and meeting people. Hearing the story of someone else will reframe your mind about how insignificant work really is.
An insightful article from a couple weeks ago is this: https://open.substack.com/pub/apperceptive/p/i-knew-this-was...

"Whether Kyle Vogt keeps his job or not is I think a secondary question. The big question is whether Cruise, trapped as it is between the inexorable demands of the capital it has taken on and the impenetrable difficulty of the remaining technical challenges of deploying their fleet commercially, has a path forward at all. "

Worth noting Cruise service paused (i.e. not even supervised rides) in Austin on Nov. 15: https://youtu.be/1o1CTfsZy_k
The fashion, too!
Best AI Communities?
The reddit app uses an undocumented graphql based api seperate from the publicly available rest api used by third party apps.
If it was only feasible for a giant corporation to compile the code, I would consider it less than open source.
Build once against a universal libc layer, and produce universal binaries which run on a variety of different architectures and operating systems.

It’s like LLVM or JVM but even for C, and without the overhead of virtualization.

(Hope I did it justice I am merely a fan)
The scariest thing at the time for those of us with one phone line only, was mom getting a call just after we finally convinced someone to share a rare track on Napster.
Can someone please post the remaining 4 xs because twitter became a useless piece of junk?
What language have I used that suggests I'm upset? As far as I can tell, all I've done is point out that "what happens to concrete under millions of pounds force" is not some area full of unknowns where the outcome wasn't 100% predictable.
https://archive.is/Vqjpr
Eirik, in case you're still watching this thread:

I would pay you $400 for this tool without hesitation. I would also pay for upgrades. However, the $400/yr subscription model is a deal killer. This is fine if you're targeting business users only, but it puts the tool out of reach for all but the most determined individuals.

You might want to consider the pricing model used for many digital audio workstations -- a perpetual license for a few hundred dollars, with free patches until the next major version. Then the next major version also costs a few hundred dollars. Rinse and repeat.

This gives you a solid income stream, without ripping your software out of the hands of a customer the instant they're short on cash. It also means the program could work without an internet connection or other constant DRM/activation nonsense. This will likely matter for the technical audience you're targeting.

Best of luck!
I agree there's a lot of mediocre stuff for sure. The majority probably, which is really the definition of mediocre.

I'm only saying I generally find good stuff to watch on Netflix which is of course subjective. I quite enjoyed The Killer.

Disney, Apple, and HBO we pay for it when there's something we want to watch. But they don't have enough good content to keep a constant subscription like we do with Netflix.

Amazon is probably the worst of all. We only have it because it comes included with Prime.
Locking in values in that way would be considered a failure of alignment by anyone I've ever read talk about alignment. Not the worst possible failure of alignment (compared to locking in “the value of the entity legally known as OpenAI”, for example), but definitely a straightforward failure to achieve alignment.
Being awkwardly goaded by your boss to chant some weird company saying at a company holiday party is _exactly_ the kind of stuff that people make fun of after-the-fact by making memes about it (speaking from experience here... which is why this phrase in the article gave me pause in the first place).

There's not enough info in this article to know if it was seen as weird by the employees or not, but my point is that "they created a reacji of it" isn't evidence one way or the other for it being "popular".
Even Ilya was not involved in the creation of transformers…

Honestly by your logic, NVIDIA are the real innovators, without their hardware none of this would be possible (including the very first Deep Learning Win, known as AlexNet)
Not sure if it's a coincidence but I feel like a lot of companies are taking advantage of the OpenAI brouhaha to release their news of major exec firings/resignations with the thought that their announcements will get buried by that bigger story. Trying to remember but there was another big firing on Friday I believe, and it felt like all the tech companies were making big C-level changes now to lessen the impact.
It seems like the distinction is subjective and/or ambiguous at worst, and confusing at best [1]. Some people use them interchangeably (not saying this is correct, but that some people think they mean the same thing).

[1] https://english.stackexchange.com/a/43029
I don’t think it’s against HN rules.
TL;DR: LLMs are autocomplete on steroids, but stranger-than-expected steroids means people overhype it.

I'll share my point of view, and leave you to your own conclusions.

1. A sequence learner is anything that can learn a continuation of sequences (words, letters etc). You may call this "autocomplete".

2. Sequence learners can predict based on statistics (invented by none other than Shannon!), or by some machine learning process.

3. The most popular sequence learner nowadays are LLMs, which are neural networks with attention mechanisms.

4. Neural networks are basically linear algebra expressions: Y = σ(W'x + b). A fun thing is that this basic expression can approximate any other function (that are lipschitz and not kolmogorov arnold).

5. Aforementioned attention mechanisms pay attention to input as well as activations activations within the neural network (you can think of it as representations of the neural network's knowledge)

6. LLMs are stupidly large. They have excess computation capacity.

7. Due to training procedures, these excess computation capacity may spontaneously organize to form a virtual neural network with gradient descent in their forward pass (this sentence is a rough approximation of what really happens).

8. This shows the phenomenon of "in-context learning", which people are strangely very excited about. This is because of the hypothesis that an LLM with in-context learning may also use (i.e. pay attention to) its internal knowledge representation (i.e. its activations).

9. This in-context learning phenomenon relies primarily on the next-token prediction capability. Remove that next-token prediction, and the entire scheme falls apart.

From this list of premises, my view is that LLMs are autocomplete on very strange steroids with computational side effects (e.g. in-context learning, which only arises if you do training in a particular way). It has no mind, no concrete understanding of knowledge. It is highly unreliable.
It doesn't. It merely depends on processing speed being finite. If you need to address the 2^(2^64)th item (remember, big O notation is about behavior as n goes to infinity), your item index needs 2^64 bits. You can't determine what item to get without looking at all the bits in the index. If your processing speed is finite, that requires time proportional to the number of bits in the index.
Replication is kind of fuzzy though. A lot of things are replicated, just indirectly, building on suppositions supported by but not directly reproducing the study.

The problem here is perhaps one of reporting negative results.

It'd be very easy to rationalize that a secondary study didn't work because, hey it's not direct reproduction and this use case is invalid or the equipment available wasn't the same and etc...). And between the rationalizations and the lack of incentive to submit and publish negative results it's easy to extrapolate that an indirect challenge may take a really long time to be put forward.

Something kin to a bug report section might be in order. A "Works on my machine." regime isn't acceptable in the empirical domain. This would help prune dead ends in both primary and secondary+ research, one would hope, without necessitating direct redundancy. Of course this may run against the grain, fears of getting scooped or IP challenges and etc...
Agreed. If you build an AI that's very useful on a vast array of diverse tasks, it is naturally also going to have a large capacity for harm. A blunt knife cuts nothing, but a sharp one slices both through our food and our fingers.

I'm pro-AI but it feels like a lot of people are lost in the weeds discussing concepts like consciousness and forgo pragmatic logic completely.
I think the worry with the vision of AI under the control of who ever happens to want to use them is that someday that might be the equivalent of giving everyone the keys to a nuclear silo. We know the universe makes it easier to destroy than to create and we know that AI may unleash tremendous power and there's nothing we've seen about the world that means it's guaranteed to stay nice and stable
It's essentially impossible to prove in court that training data was obtained or used improperly unless you go and tell on yourself. And even then it requires you to actually make someone with a lot of money mad, or to not have enough money yourself. Certainly microsoft would have already caught lots of flak for training their models on every github repo, instead they got a minor paddling from the public eye that went away after not much time had passed.
FYI: one of the authors of this article, Karen Hao, just announced on Twitter that she's writing a book on OpenAI, and that this article is partly based on work done for that book.
I use the word 'plot'. Graph is overloaded in the maths/stats/comp sci/ML/etc space.
You are chaining some big assumptions together to make this conclusion. We can suppose AGI is around the corner, but these other assumptions are massive leaps that would need strong arguments to back them:
- AGI thinks similar to humans
- AGI knowing we are afraid of it will make it consider humans a threat

Unpacking that second point are the implications that:
- AGI considering humans a threat is conditional on our fearing it
- AGI seeing humans as a threat is the only reason it would harm humans

I feel like I can rule out these last 3 points just by pointing out that there are humans that see other humans as a threat even though there is not a display of fear. Someone could be threatening because of greed, envy, ignorance, carelessness, drugs, etc.

Also humans harm other humans all this time in situations where there was not a perceived threat. How many people have been killed by cigarettes? Car accidents? Malpractice?

And this is going off the assumption that AGI thinks like a human, which I'm incredibly skeptical of.
Am I wrong to think it would have a couple major advantages? Like using speakers without having to worry about echo cancellation, having a distinct interrupt signal, and still getting all the latency benefits (possibly even more once you get used to it since the conversational style has to assume the end of the user’s sentence instead of knowing the second they let go of the button)
I work in biotech as well, and the idea that the extinction of 21 species from an estimate 8M+ species has any sort of meaningful impact on biomedical research or the understanding of basic biology is ludicrous.

Further your post is histrionic. ‘Environmental collapse’, ‘destroying our inheritance’, ‘alarming rate’, suggests an individual who is pushing an agenda rather than rationally appraising the current state of the ever-changing environment and biological ecosystem.
I read a profile recently of an AI consultant for CEOs who mentioned in the interview that the CEOs all want to know when they can lay people off.

I really don’t understand how tech people are so spectacularly naive.
https://qz.com/openai-books-piracy-microsoft-meta-google-cha....

What's your evidence contrary to this? Sounds like your common sense rather than inside knowledge
I don’t disagree with you, but why is this a red flag specifically?
> amazing that the rest of the culture doesn't think tech people are skeevy

They do
> The only exception I can think of for fiction is the movie "Her,"

I think there is a wealth of fiction out there that features AI without robot bodies. The sequel to Ender's Game, Speaker for the Dead, comes to mind immediately (because I re-read it last week).

2001: A Space Odyssey, I Have No Mouth and I Must Scream, Neuromancer (I think, haven't read it in a while), I think some of of the short stories from Ray Bradbury and Ted Chiang, etc, etc
This might be silly because of how few people it benefits, but could it be broken up on to multiple 8GB cards on the same system?
I also dreamed of being a scientist. I loved magic school bus, bill nye, reading science books and encyclopedias. But then I discovered computers, and that drew my attention for, say, a decade and change. I started programming and didn't stop. I kinda forgot about science. But at 27, I now I work as a research software engineer in neuroscience, with some of the smartest people I've ever met, on some of the hardest problems I've ever worked on. I would be foolish to think the path won't continue to curve, but I think things just have a funny way of working out. I've been really blessed to have the career I've had so far, and I'm having a ton of fun. Can't wait to see where things go next.
No this was more of a fake-it-til-you-make-it situation
If you telegraph your punch, you might get punched.

Also: “when you have to shoot, shoot. Don’t talk!”
He returned to the building. The result of the negotiations is still unknown.
That's the point. If you don't even know what the optimum is or what you should even optimize for, why jump to the conclusion that some change is bad?

If a species is extinct there is no hole. The hole it filled in the ecosystem is gone. If it were still there, it wouldn't be extinct. There will be a different hole and a different species. Yes, they don't come up overnight, but life will evolve to exploit an opportunity where there is one.
That's more advice, not a hard rule. Submitting your own content that's low-quality/low-effort could be perceived as spammy.

If you want to submit a blog post about OpenAI, that would likely do better upvotewise. (not great since it's overdone, but better)
Safari has had Manifest V3 like restrictions for years now. https://github.com/el1t/uBlock-Safari/issues/158

Microsoft announced Edge will stop supporting Manifest V2. https://learn.microsoft.com/en-us/microsoft-edge/extensions-...

This means more users for Firefox, on platforms that actually support it.
Inter is perhaps most recognizable as the typeface used in Slack.
Just replace the domain with nitter.net

https://nitter.net/kvogt/status/1726428099217400178#m

This extension will do it automatically: https://libredirect.github.io/
Would they need to do it all at once like this? How have other countries that have officially dollarized handled the transition, if there are any major ones?

It looks like the list of countries besides US that exclusively use USD is small, none with a population over 100k, although I know several economies have de facto dollarized: https://en.wikipedia.org/wiki/Currency_substitution#Countrie...

Maybe that Wikipedia list is out of date. I'd thought Ecuador was running on dollars.
It's worth noting that the cost of storage wasn't the issue in this case. They already had a system that allowed you to determine which headers in the Vary list would be respected and so you could calculate a worst-case storage load. I mean, it definitely was an issue in general and we were careful about avoiding the same content being stored multiple times but it wasn't the reasoning they communicated behind the change in the anecdote I related.

I think the best suggestion was in another thread by @johncolanduoni where he pointed out the difficulty of storing, distributing and retrieving the metadata per-resource that would be necessary for each PoP to correctly determine the Vary requirements at request time.
There's a lot more context baked into an ISO string than a unix timestamp though. Write a regex to find all the strict ISO8601-RFC3339 strings in a directory. Now write one for unix timestamps.

> Also calculating amount of time between two ISO8601 strings without libraries is nor trivial, or any other operation actually.

That's true of any datetime that actual humans use (as opposed to computers, financial systems, sysadmins and programmers).
Heatwave ?
Even without the syscall dispatch, it's a very well optimized standard C library that you can statically link.

Although personally, the lack of dynamic linking or GPU acceleration makes it a hard sell for my projects, unfortunately.
They were all making fun of Google for being "behind", when in reality it came down to there being more cautionary voices within Google around this stuff. Not cautionary enough, and they did and now are doing some terribly douchey things (the incident with Timnit Gebru was one of the early warnings there) but they did seem like they were trying to keep at least some of the Jinn corked up.

I actually don't think these execs can replace us with LLMs, but the hype volcano certainly made them think they could. Which says more about the shit understanding they have of what their SWE staff does more than anything else.

Idiots hired like crazy during COVID, and then were surprised that 9 women couldn't make a baby in 1 month... and now they think "AI" is going to fix this for them.

I need a new career.
Is this the SF accident you mean? I hadn’t heard of it, but this seems not at all worrisome:

> At approximately 9:30 p.m. on October 2, a human-driven vehicle struck a pedestrian while traveling in the lane immediately to the left of a Cruise AV. The initial impact was severe and launched the pedestrian directly in front of the AV. The AV then braked aggressively to minimize the impact. The driver of the other vehicle fled the scene, and at the request of the police the AV was kept in place.

Why was cruise under fire for this?
> So what happens when the Altman and the board's views are concluded to be completely incompatible?

He gets fired. Thats the enforcement mechanism.

Hence if he comes back, that indicates the board essentially "agrees" with Altman's positions now, however much Altman and the board's positions have shifted.
> how about getting access to all SMSs via CLI from a bank

How to do that?
Notes on Tidy First?
This is unfortunate, and likely stems from the recent accident that caused the loss of their CA license suspension, which may have jeopardized their upcoming fundraising.

Perhaps Kyle will end up on the OpenAI board.
The problem with the idealistic "we do research on alignment as we discover AGI, don't care about money" angle is that... you are not the only ones doing it. And OpenAI is trying to do it with its hands tied behind its back (non-profit status and vibes). There are and will be companies (like Anthropic) doing the same work themselves, they will do it for profit on the side, will rake in billions, possible become the most valuable country on Earth, build massive research and development labs etc. Then they will define what alignment is, not OpenAI. So for OpenAI to reach its goal, if they want to do it themselves that is, they need to compete on capitalistic grounds as well, there is no way around it.
But you’re not ok with them doing it their way. Like you think you have some say
I feel this way too. I was excited, as a beta user, to see this go GA but then I saw the pricing and was forced to move on. Pretty steep indeed. But he has a great piece of software here. Best of luck Eirik!
I cancelled my Netflix earlier this year, after they cancelled 1899, killed the idea of another season of Mind Hunter, and raised their prices. Really no point in having it. It's quite expensive, and they clearly don't care about their customers. They only sparsely put out notable content.
Maybe they resigned thinking they would partner up with Altman
The systems we use for coordinating our actions and beliefs aren't sufficiently sophisticated....and we are too indoctrinated to realize it.
> The last 10 years have been amazing, and I’m grateful to everyone who helped Cruise along the way. The startup I launched in my garage has given over 250,000 driverless rides across several cities, with each ride inspiring people with a small taste of the future. (2/5)

> Cruise is still just getting started, and I believe it has a great future ahead. The folks at Cruise are brilliant, driven, and resilient. They’re executing on a solid, multi-year roadmap and an exciting product vision. I’m thrilled to see what Cruise has in store next! (3/5)

> To my former colleagues at Cruise and GM - you’ve got this! Regardless of what originally brought you to work on AVs, remember why this work matters. The status quo on our roads sucks, but together we’ve proven there is something far better around the corner. (4/5)

> As for what’s next for me, I plan to spend time with my family and explore some new ideas. Thanks for the great ride! (5/5)

2: https://x.com/kvogt/status/1726428101520011377?s=20

3: https://x.com/kvogt/status/1726428102967099779?s=20

4: https://x.com/kvogt/status/1726428104292458841?s=20

5: https://x.com/kvogt/status/1726428105873764714?s=20