skysight-inc/HackerNews huggingface dataset:
So it can create and run programs, not just call some pre-defined set of utilities? That's impressive.
Listening to the Big Ice of Antarctica
Here's my abitrary line in the sand: if you give the prompt to a human, they could give a similar reply, but the prompt would also trigger other reactions such as:

* Who's Daisy?

* Why would Daisy do that?

* Daisy is rude.

etc. that imply the existence of some sort of abstract object on which relations and other facts can be plugged into. For me, the existence of that abstract object is "reasoning."

We do not know if GPT is capable of forming abstract objects in its network, and I do not think it is reasonable to infer that from its text output. In my non-expert opinion, it seems possible that the output can be achieved via knowledge regurgitation through the use of sentiment analysis, word correlations, and grammar classification.

So in this framing, it's not reasoning about Daisy nor hallucinating facts. It's regurgitating knowledge about the relationship between sentiment, words, and grammar. (An interesting experiment to run would be to change 'Daisy' to a random noun or even nonsense tokens to see what would happen).

You might argue that the ability to mechanically model that relationship counts as reasoning, and that's a stance I won't outright dismiss. However, it does seem strictly less powerful that mechanically modeling on top of abstract objects.
No context was given but here was his actual statement—-

> I can't foretell the future, but it is important to realize that ChatGPT is not artificial intelligence. It has no intelligence; it doesn't know anything and doesn't understand anything. It plays games with words to make plausible-sounding English text, but any statements made in it are liable to be false. It can't avoid that because it doesn't know what the words _mean_.
Even during development I’ve had to learn far more than I’d like about k8s internals as things broke left and right.

ECS, nomad or even autoscaling VMs are much easier to deal with when they fail.
Not desktop at all. I’m focused on it operating it’s own computing resources using the recursive approach. I call it multi-agent LLM approach. This way it can breakdown a complex task into components and attack each component in parallel or sequentially as it needs.
Toshiba Accepts $15B Buyout Bid from Japan Consortium
The icons are super small but I get your point. Text-only in a way of no autoplay video, ads, big pictures etc right now. We are planning to launch true (like text.npr.org) text version and RSS as well.
Richard was super sensitive about the power companies have over users with closed source software, and had a great impact on our culture (just look at the controversy over the name OpenAI), but it seems like he's deeply underestimating the much much bigger power AI is (and soon will be) having over us, even though there have been countless books and movies predicting it, and we feel it coming.
The End of Code Tinkering
Stating facts is a common technique employed in propaganda.
i like the idea of small models for longer. Sounds like I could train some limited set on my own little mac and not have to pay openia any api fees!
Hollywood Is Betting on Fear
Does Arch Linux have boot environments (or equivalent)?

Boot Environments allows the system to be upgraded, while preserving the
old system environment in a separate ZFS dataset.

* https://man.freebsd.org/cgi/man.cgi?beadm

The beadm command is the user interface for managing ZFS Boot Environments
(BEs). This utility is intended to be used by system administrators who want
to manage multiple Oracle Solaris instances on a single system.

* https://docs.oracle.com/cd/E86824_01/html/E54764/beadm-1m.ht...

> A ZFS boot environment is a bootable clone of the datasets needed to boot the operating system. Creating a BE before performing an upgrade provides a low-cost safeguard: if there is a problem with the update, the system can be rebooted back to the point in time before the upgrade.

* https://klarasystems.com/articles/managing-boot-environments...

Or perhaps:

> In essence, ZFSBootMenu is a small, self-contained Linux system that knows how to find other Linux kernels and initramfs images within ZFS filesystems. When a suitable kernel and initramfs are identified (either through an automatic process or direct user selection), ZFSBootMenu launches that kernel using the kexec command.

* https://github.com/zbm-dev/zfsbootmenu
- the AI is intelligent in a way that's different from us and that we don't understand but is very sophisticated

Also

- the AI cares about what happens to a fictitious child like someone from Reddit

Something here doesn't pass the smell test. It seems more likely that someone wants to believe that the AI has a naive child like consciousness, like you see in pop culture depictions of AIs.
> Maybe nothing is being done because there is no mechanism

There exists several mechanisms, many of them are implemented around the world.
Created more jobs, sure but what kind of jobs? More complicated, mind draining jobs that many, many people are simply not capable of. The general human intelligent cannot catch up with the rate that the market is asking for.
And it’s perfectly fine to eat well after that date.

It’s in the interest of the manufacturer to keep that “expiration” date as short as possible. Unlike with medication, there is no actual rule for when food expires.
There's no ChatGPT own stuff. It generates perfectly sound text based on trained data. Its capabilites ends when it has to deduce something new. Still, it is really impressive achievement as mostly there's no need for such capability and synthesis on the existing knowledge is more than enough.
Guy 2 sold more of his time and compromised his health and personal life by working 50+ hour weeks. He probably also made more mistakes than guy 1 because he wasn't well rested. Nobody got screwed out of comp but their manager who values bums on seats.
You note that this will change the world, but then talk about GPT-4 specifically.

The leap from GPT-2 to 3 was enormous. 3 to 4 was enormous, and we’re not even using 32k context yet nor image input. 4 to 5 will likely be as disruptive if not more.

This isn’t about 4. We’re in the iPhone 1 era of LLMs. This is about what the world will look like in one or two decades. And there’s a good chance this comment might age poorly.

That’s a scary thought. I was skeptical of AI, and still am. But it seems undeniable that the world is in for a big awakening. This might be as big of a transformation to society as the introduction of microprocessors.
Why do you think it will become less prestigious? This technology is going to 10x the abilities of every developer and since we are now all guiding an AI to write code instead of typing it out ourselves it's going to become even more important that software engineers earn the "engineer" part of their title through education or experience. More than ever we will need to know how to describe the problem and the solution and how to think critically about the code that the AI produces. The people with the knowledge to do so are going to become even more valuable since they will be among the most productive but even the fresh out of bootcamp junior will be more productive as a prompt-monkey instead of a code-monkey.
BlenderGPT
Use commands in English to control Blender with OpenAI's GPT-4
I would caution you to think that you are immune from what troubles these people and from falling into an us vs them mentality.

The big lie thing would not be possible if not for the many little lies, they weren't galvanized for no reason nor is there any guarantee it won't repeat if nothing changes.
It matters when you want a correct answer and if it has no way to confirm correctness then you have a problem. The famous goof from chatgpt that I bring up: someone asked chatgpt what the differences were between cow eggs and chicken eggs, instead of answering based on knowledge, it listed out plausible differences based on what it knew about a cow minus the fact cows dont lay eggs.
Terraform Security Best Practices
Dang, my favorite show to re-watch these days in NBC's ER (all 15 seasons on HBO) and I keep thinking: "if only I had picked Emergency Medicine instead of Computer Programming as a career." But I'm pretty sure this is a grass is always greener brain trick.
What has replaced POV-Ray? Blender?
Tech people so obviously loath creatives, its so sad.

> he just had to use a new tool that made his work far more efficient.

He had all satisfaction, creativity, and joy sapped out of his job. He was made alienated, made to feel pointless, in order to commodify a creative pursuit.

Technology is doing what it has always done, rob skilled people of purpose. From the luddites, to potters, shoemakers, etc. They had a skill that was important for other people. Automation made this cheaper, so these skilled laborers were no longer of use. But now everything we have is made out of cheap materials, nothing lasts. Sure its cheap, it has to be cheap for the out-of-the-job skilled worker who is now working a service job, to be able to afford this automated commodity.

This degrades our society, piece by piece, stone by stone. What is the end goal of this automation? The folks who are reaping the benefits of this efficiency will continue to hoard. They'll fight any effort to give back some of those profits robbed from the laborers. We're turning into a society where we just continuously exchange cheap pointless pieces of plastic just to survive. Zero meaning left except for the psychopaths at the top, they're the only ones allowed to derive meaning from their work.
I think his answer is driven by a preference for the status quo and a reluctance to face difficult changes.

ChatGPT, and especially GPT-4, seem to do much more than just play games with words. You can’t overlook the “emergent” phenomena that manifest themselves when using them.
Ah, what’s “immutable” are the system files.

I clicked to see what was meant, as the point of an OS is to manage and abstract mutable state.
Show me a pre-GPT machine translation model that can do what I've described.
http://djm.cc/library/Calculus_Made_Easy_Thompson.pdf

"from page 4: "one minute" - meaning a minute fraction of an hour. When we required smaller subdivisions they divided each minute into 60 smaller parts they called "second minutes". i.e. small quantities of the second order of minuteness. Nowadays we just call these "seconds"!"
After some practice, I feel like I've got a good grasp of all them. It's just the order where I'm a little uncertain.
> If you find my comment "breathless hype", deal with it without clamoring for silence.

The problem is that it's exactly this kind of hype that is trying to convince people that AGI is a) just around the corner, and b) going to wipe out humanity, and is thus calling for drastic measures in reaction to that perceived threat.

Now, you may not personally believe that or advocate for those things—but intentionally or not, you are part of a chorus that is reacting to science fiction as if it is proven fact, and making demands that are likely to be very harmful to us as a people.
he couldnt be more wrong about " it doesn't know what the words _mean_."

That's precisely what transformers do do. They know what ever word and semantical structure means. They are super fast substitution and relationship machines that can take any word and replace it with its definition, and inherit the link between each word in the definition with all its relationships.

It's precisely its ability to distill something into its pure meaning, and to reply to that "meaning" that makes its autocomplete abilities so powerful.
Link should be to old.reddit.com
When this originally came out, I kept it bookmarked for 20 years before finally buying the poster and putting it on the wall :D https://imgur.com/ffS4pds
This is a failure mode of people as well. Rewriting so it doesn't bias common priors or at least in the case of Bing, telling it it's making a wrong assumption works.
Correlation is not causation. Perhaps right makes might. Or perhaps both are caused by another factor entirely, such as brane interactions.
Could be because people are looking for alternatives to CentOS.

CentOS stream may not be compatible with some orgs.
'Isn't everything' is a huge understatement. It's a performance nice smoke test for a CPU in that if it isn't hitting the numbers you'd expect given the microarchitecture (issue width etc) you know there's a problem and due to the simplicity of the benchmark it shouldn't be hard to analyse and track down.

Though there's way more a modern high performance CPU needs to do. It doesn't do anything meaningful to stress the memory system for instance. Hitting good Drystone numbers is stage 1 in a long process to building a modern high performance CPU.
I just want to say "me too", the site is great. I rarely use twitter, but will follow you.

But dumb question, what do I follow ? :)
What originally attracted me to OpenSUSE is they have supported BTRFS much longer than most other distros. While snapper isn't the greatest tool, it does make it fairly easy to create regular snapshots of your system, so you can roll back if anything goes awry. The YaST tools also make it fairly easy to administer an OpenSUSE system from both the desktop and terminal. Definitely a high quality distro worth your consideration.
>(J) is a carve-out for linkedin, wonderful.

It would be utterly fascinating if LinkedIn became Utah's de facto LGBTQ online space.
I think Stallman is right.
It's really the term 'intelligence', that's the issue here.

We should stop using using that term. I personally just use 'machine learning' or '(statistical/mathematical) model'. But then there's marketing, i know.
I’m sure you don’t think it follows a human is a glorified rock? Both objects are processed by the universe under the same rules, and understanding how consciousness arises directly from physics is likely intractable.
Finland seems obvious.
GPT-4 gets this one now, just as it does the "diamond in a teacup" question. I asked about "pig eggs" instead of "cow eggs" in case it had memorized a public post about cow eggs.

---

Pig eggs and chicken eggs differ fundamentally, as pig eggs are not laid by pigs, while chicken eggs are laid by chickens. Let's clarify the differences:

Chicken eggs: These eggs are laid by female chickens (hens) and are a common food source for humans. They have a hard, calcium-based shell and contain the yolk, egg white, and other nutrients needed for a developing embryo. Chicken eggs are typically eaten for their nutritional content and can be cooked in various ways, such as boiled, fried, or scrambled.

Pig eggs: Pigs, being mammals, do not lay eggs like birds do. Instead, they reproduce through internal fertilization, and their offspring develop inside the mother's womb. When referring to "pig eggs," it's likely in reference to pig oocytes or ovum, which are the female reproductive cells involved in mammalian reproduction. These cells are microscopic and not something that can be consumed like a chicken egg.

In summary, chicken eggs are laid by hens and commonly consumed as food, while pig eggs (or more accurately, pig oocytes) are the female reproductive cells involved in pig reproduction and are not something that can be eaten.
Can you list some references to bad software you are using perhaps? Someone else who also uses open source software might be able to suggest a different tool or fix you may of not known about.
The Russians are really good at this stuff.

The 2016 elections in the US were the culmination of years of work. The Russians used their weird news network and social media operations to magnify useful idiots, promote QAnon, and create maximum chaos.
Earth is running out of places for stargazers to do dark deeds in name science
Awesome! Please do share once you get some results :D
> one or two decades

More like one or two years at this rate.
Yes, but like every part of ZFS on Arch, not by default. https://aur.archlinux.org/packages/zfsbootmenu
Capitalism is all about rent seeking and having middle men that contribute nothing where they only exist to suck money and resources out of the system
You're wrong.

Anshan Iron and Steel:
https://www.steelorbis.com/steel-news/latest-news/ansteel-co...

Panzhihua Iron and Steel:
https://news.metal.com/newscontent/101439663/The-exclusive-s...

Baotou Iron and Steel:
http://innermongolia.chinadaily.com.cn/baotou/2020-01/03/c_4...

Wuhan Iron and Steel:
https://www.marketscreener.com/quote/stock/WUHAN-IRON-AND-ST...

Handan Iron and Steel:
https://www.gneesteel.com/news/industry-news/hbis-successful...
> Does a calculator truly understand math when it spits out a correct answer?

I doesn't seem implausible that some of the first civilians who were exposed to calculators could have been convinced that they were capable of intelligent thought.

And 60s/70s science fiction is full of stuff that they imagined computers would do. Like asking questions and receiving answers that require both inference of facts and deduction like "computer, tell me what happened to this planet".
". The first time the opponents
showed up [in the training area] they
had wing tanks along with a bunch of
missiles. I guess they figured that being
in a dirty configuration wouldn’t really
matter and that they would still easily
outmaneuver us. By the end of the week,
though, they had dropped their wing
tanks, transitioned to a single centerline
fuel tank and were still doing everything
they could not to get gunned by us. A
week later they stripped the jets clean of
all external stores, which made the BFM
fights interesting, to say the least"

(source attached to this post https://www.f-16.net/forum/viewtopic.php?t=54012 )

F35 can hold their own quite well. Disregard the 2015 report with the limiting software, this is where they are at, and things will only improve with the new engine
Amen to that and I'd even go a step further: The fact that it says untrue and invented things with much confidence is unfortunate but doesn't prevent its usefulness. People tell BS all the time and we deal with it.
So much of human "reasoning" is also just automated reflex. We ping pong back and forth the same sequence of sentences all the time. The fact that an LLM can do this as well is a little unsettling.
>"Feel sympathy for them?"

Perhaps — yes&no.

Yes [feel sympathy for them]: a system which allows you to roll over trade-in debt is `evil`.

No ["he's an idiot American"]: a consumer who would roll over trade-in debt is `ill-informed`.

Neither answer/scenario is optimal. One is less evil.
Stallman is always right
There is quite a bit of proof that our intuitive conception of reality is wildly incorrect. We have to work really hard against it to make progress in understanding how reality actually is.
> ignore these and accept a tainted kernel

That isn’t possible as I understand it.

Loading any non-GPL module will mark the Kernel as tainted, but that’s not the issue here.

The problem is that the ZFS module uses Kernel symbols that are marked as GPL-only, meaning that the Kernel will refuse to load the ZFS module as it isn’t marked as a GPL module. There isn’t any way to bypass this short of recompiling the Kernel to remove this restriction.

The legal status of this is uncertain, since a number of questions naturally arise:

1. Is it acceptable to mark a Kernel module as a GPL module (this is done via a macro in the source) but release it under a license that is not GPL-compatible?

2. Is it acceptable to recompile the Kernel to remove this restriction?

As far as I know neither of these have ever been tested, and there are differing opinions.
The current state of AI is amazing and can be a time saver, no doubt.

With respect to the ongoing argument about the social and economic disruption of this “tool,” we need to remember this:

Over short periods of time, we “feel” like the slope of change is relatively flat. But it’s not. The slope of change is getting steeper and steeper ever day. Technology change and capability is exponential.

I have seen a crazy amount of change in my lifetime, and it’s accelerating.
Sorry, what you want the question to be exactly? Something like "Should governments be able to ban books?" asks the correct question?
Dutch: https://noslite.nl
>Programmatically composing mathematical primitives does only get you so far if your goal is to create art relatable to humans.

Of coarse, that is one of those weak areas you have to work around and ultimately helps define the style of povray, that incredible pathos of all those images devoid of people beyond the implied. This thread got me to install povray and start playing with it again. There is a fairly large speed increase, rendered the diffuse-back sample scene and it took 8 minutes, took hours on my old T42.
I had the same experience. Rustling RPMs was a nightmare back in the day. In fact, it's what moved me from some redhat (SUSE?) back in the day to mandrake linux.
This reads a bit like a short essay answer on a test, or a ChatGPT response...
No, you're the one who's begging the question. Why can't a "purely statistical" process have an understanding? If you a priori assume it can't, then nothing could ever persuade you GPT understood anything, no matter how it performed.

And again, this magical word "just". "Just highly correlated", "just probabilities". Putting the word "just" in front of something doesn't mean you've explained it.
This seems to miss the forest for the trees. Whether LLMs will have an impact similar to the industrial revolution will not depend on whether they pass some arbitrary threshold where everyone is convinced that it is an AGI and understands what words mean. It will depend on the utility they provide. And the utility is there right now. GPT4 is so immensely useful for so many things. At even a reasonable pace of improvement, it is hard to see why LLMs would not be able to do more and more things.

Morever and slightly off topic, most humans also don't care what words mean or what numbers mean in a philosophical sense. If you talk of "The Axiom of Choice" in a big company software meeting, people will ask if it is the new ice cream flavour in the cafeteria. That doesn't prevent people from getting value out of both words and numbers.
It's worth noting that OpenSuSE is one of very few distros in the Windows store, and the only one other than Ubuntu with really solid put-of-the-box interop (e.g. adding Linux apps to the Start menu). I'm really curious if that's had a role.
Sure, but it was written by a human and not a LLM.
Newly opened Museum of Failure = bad ideas, silly designs and overhyped products
> while ipfs is more "yo all, who's got this hash".

Isn’t that the purpose of BitTorrent’s DHT?
Try https://skimfeed.com , it's my daily for tech news and how I got here.
You don’t think we can make it come up with variations, and use people’s feedback on what’s interesting to figure out what new avenues are promising? It’s not that hard to do this sort of exploration, it’s not limited to just mimicking what it’s seen. If anything, I think we’ll see an increase in the pace of evolution of art as it becomes economical for normal people to get personalized art.
Comment

The summaries for several headlines are completely bogus, which undermines any credibility that this was a reliable site. For example, the Lufthansa Strike blames a technical issue, not the strike that all linked articles discuss. Next, the Khazahstan election summary mentions voters in Turkey and Turkmenistan. There’s also duplicated stories, and other obvious issues any human editor would catch.

I suspect this is secretly powered by some AI that doesn’t actually work all that well.