skysight-inc/HackerNews huggingface dataset:
You're absolutely right - and to identify the creation within randomness is also a form of creativity. Not all humans create (and identify) with the same methodologies!
It's been like this since the late 90s, "retro" basically means microcomputers
Just like people were able to find real information on topics like: "tobacco is not that bad, it is just nice like coffee" and "fat is bad for you, here have some sugar", "alcohol is fun, having beer is nice"?

Fundamentally AI changes nothing for masses and for individuals alike and there was nothing you could "just trust" because it was written on a website or in a book. That is why I call it silly.

It also doesn't make it easier or harder for people in power that have vast resources to plant what they want - they have money and power and will do so anyway.
I realize you said the early 80's, but the 80's, in-general, encompassed a ton of progress: from the 8 bit Apple, Commodore, Ataris, to the IBM PC and the clone wars, to the rise of the 16-bit Mac, Amiga, ST. Even the 386 was available by 1986. There were also many high end 32-bit workstations (Sun, NeXT, SGI...) Tons of variety in hardware.

The 90's was more about software (NT, Linux), and connectivity (dialup Internet goes mainstream, the first home broadband connections, etc.) Hardware felt mostly incremental: faster CPU, more RAM.
If you want to see this train wreck in action, look no further than eSports. Here you can see the gradual erosion of sportsmanship in a way that likely played out for conventional sports in the past.
> I think that holding a degree != smart.

Does this mean that these two sentences are completely unrelated and only happen to exist within the same paragraph?

> Many smart humans fail at critical thinking. I've seen people with masters [...]

I've understood you to use "people with masters" as an example of "smart humans".
He also made "a mind is born" demo

https://youtu.be/sWblpsLZ-O8
Pretty much like the people that don't care about privacy. You still get captured and tagged in their information and uploaded to the web. As an individual it's difficult to do much about it.
You got it backwards. It's not about being transparent about what you want to achieve, it's about being transparent about what others expect you to achieve on your current position.
Yes TV shows especially, they are under a lot of pressure to put them out on time so stuff isn’t always thought out fully.
My point with Instacart (as a primary example of vendor-neutral delivery services) is that anyone can sit at home and choose any store to shop at, regardless of cost, distance, or branding.

The consumer doesn't need to drive the streets, park in the lot, or show their face in the store, yet benefits from the enormous selection of items in every menu.

These services obscure any externalities associated with all these stores, while making discovery easier than ever -- how else would you routinely peer into a store's inventory without being there? They used to spam people with weekly ads and coupons, but that's largely obsolete at this point.

Not all shoppers are cost-sensitive enough to switch stores, but Instacart enables picking and choosing. Conversely, it expands every store's reach, and enables brand loyalty as well--even if I move further away from my favorite store, or the nearest one closes, Instacart may still enable access to it.
With nearly half a million followers, it does make him a journalist in the sense of "wielder of the 4th power". (But perhaps this only makes matters worse, depending on how he uses that power.)
The 8086 is from the late 70s. The x86 architecture would still take 10 more years to start dominating market. Recent processors don't differ too much in terms of instructions, so these processors are basically just simplified versions of we currently have, which understandably doesn't peak too much interest. Therefore the early 80s still being ripe with other architectures is more attractive.

I wonder, now that the market is slowly shifting to arm and RISCv architectures, we might see a similar trend 30 years from now, with people starting to procure x86 chips with similar interest.
Chess is a superficial pursuit, especially today, because it became a meme due to a Netflix television show.

Not that I care. People can pursue whatever they want superficially. And I have plenty of my own superficial pursuits.
Yeah, I do think that's going to be a problem.

Years ago, my GF asked me why we bother with judges and juries, given all the uneven sentencing practices and other issues with the current legal system. "Why can't the courts run on computers?" This was back in the pre-Alpha Go era, so when I answered her, I focused on technical reasons why Computers Can't Do That... reasons that are all basically obsolete now, or soon will be.

The real answer lies in the original premise of her question: because Humans Also Can't Do That with the degree of accuracy and accountability that she was asking for. Our laws simply aren't compatible with perfect mechanized jurisprudence and enforcement. Code may be law, but law isn't code.

That problem exists in a lot of areas where people will be looking to AI to save us from our own faults. Again, this has little to do with how training is conducted, or how humans participate in it. Just getting the racism and misogyny out of the training data isn't going to be enough.
But, the early 80s was a fast changing time for tech where new and much more powerful hardware was coming out almost every day.

I feel like the nineties are more like that. Deep into the 80ies, most people would probably still get something with a Z80 or MOS 6502/6510. If you were rich, maybe you got an XT 4.77 MHz somewhere in the 80ies. The 80286 and later the 80386 were out of reach for most consumers.

The late 80ies to late 90ies things change rapidly. The 386, 486 (remember going from SX to DX) and Pentium all became in reach for normal households. At the start of the 90ies most people would still have a PC speaker, but then within 1-2 years everyone got Sound Blasters (or clones). Around 1992 or so CD-ROM drives start to become popular. In 1996 3D games go to the next level as 3dfx blasts onto the market. People start getting internet at home.

In the 90ies, if you got a PC, it would already be outdated in 6-12 months. This was certainly not the case in the 80ies (or 00s, 10s, or 20s).

Also on the software side there are huge shifts. Outside Apple, PCs and home computers were mostly command-line interfaces in the 80ies. But in the early to mid-90ies graphical interfaces took over the world (Windows 3.x becoming a major hit), true multi-tasking becomes more important (OS/2, Windows 95, Windows NT), etc.
If you can infer things about living relatives from a DNA sample (preexisting conditions, for example), then you should need their consent to release that sample. It’s not only your information.
Sadly, the first applications of this will most likely be military.
If my doctor doesn’t understand or care about something as basic as doctor/patient confidentiality then I feel like there may be deeper problems
An ultra sensitive motion sensor. Intriguing.

Could one derive the Earth's rotation? The motion of the solar system?

By watching vibrations could it be a microphone?
Or it was merely useful excuse for the narrative about flawed humans and anti science vs science arc
Future generations are somehow going to find a way to tinker with C64 and Apple II without involving the 6502?
I always thought this software was weird. To me modular implies parameter modulation for sound design, but this seems to be designed around sequencing fixed sounds, or am I missing something?
No, future generations will be interested in collecting technology from their own youth. There is already huge interest in old iPods, for example. Even original iPhone models are a collectible item now.
The stock market and need to maintain shareholder value and the illusion of growth — or at least relevance — creates the perverse incentives for posting jobs that won’t get filled. That has gone on for a long time.

If companies cared about their reputation in the job market they would act differently. But even a company at the top of your list will get plenty of applicants when they get around to actually hiring. Right now they hold the cards.

Disconnecting hiring managers from the screening process, usually turned over to HR or recruitment firms, adequately explains a lot of the reported ghosting. Incompetence probably explains the rest.

Good luck.
Any lag at all helps the value of collectibles, especially stuff that deteriorates like cars and cards.
Yeah, exactly this. I've been toying with the idea of making a computer out of individual transistors, but building something capable enough of having an interactive CLI would probably take years, thousands of dollars, and some nontrivial engineering.

Hooking up a 68k to some peripherals? Quite doable. Building something out of 7400 ICs? Tricky, but if your expectations aren't too high definitely possible. Transistors, vacuum tubes, mechanical stuff? You better be really dedicated to it!
being a shit-heel for Vance is painfully embarrassing
Sure, they could choose to work on that problem. But why do you think that's a more important/worthwhile problem than chip design or any other problem they might choose to work on? My point was that it's not trivial to make self-play for some other problem work, so given all the problems in the world why did you single our neural network architecture design? Especially since it's not the transformer architecture that is really holding back AI progress.
The cars that a current fifty year old saw driving around in their late teenage years were mostly hot garbage. There's a lot for a person to be nostalgic about when it comes to the eighties, but not cars.
It's harder to ignore the problem in Python, because reference counting turns every read into a write, incrementing and then decrementing the recount of the object you read. For example, calling "my_mutex.lock()" has already messed with the recount on my_mutex before any locking happens. If races between threads could corrupt those refcounts, there's no way you could code around that. Right now the GIL protects those refcounts, so without a GIL you need a big change to make them all atomic.
"How do make a purchase?"

How do I make a purchase?
This is a genuinely interesting ethical question. While our phenotypes (bodies) are separate, our genotypes are very much a shared resource (at least for read access); an extra special case are monozygotic twins, where if you obtain sample from one of them, you just mapped both.

Fortunately we don't see applications like "personalized poisons" yet, but it is likely inevitable.

If, say, an insurance company denies you some policy because of what they learnt from your relative's DNA, you suffered a concrete harm from that sampling decision.
Modular, not modulator.
I think that’d lead to the same challenges: it’d be trivial to show that usage of the term predated that organization by decades, and anyone making an argument about collusion or antitrust would be able to point to the existence of a closed group created by the top two competitors as evidence rather than a defense.
It’s a reasonable possibility, it’s also a reasonable possibility that nobody did.

But somebody incidentally seeing them, and maybe, maybe not recognising they were passwords is not a breach. Somebody intentionally misusing them would be, and I haven’t seen anything to suggest there’s a reasonable expectation that that occurred.

A reasonable expectation is also not the standard of proof I’d generally like to see from a government attempting to enforce a penalty.
Also, it is not against GDPR per se to store passwords in plain text. It is required to keep user data safe from unauthorized access and processing and encryption is one way to help with that, but if you have it sufficiently protected by other means it would be OK under GDPR to have it in plain text.

Avoiding ever storing passwords (or credit cards) in plain text [1] is actually harder than you might think.

Even if you outsource password handling by using some third party authorization service so passwords should never even touch your servers, and handle credit card payments by having them handled on your checkout page by a frame or JavaScript or something that only ever sends them directly to your payment processor, you can still end up with the damn things in plain text on your servers.

How? Because you receive emails to support that look like this:

> Hello; I'm a subscriber to your service, account "Bob666", password "S3cr!t", billed to my credit card 4111111111111111 with security code 123. That card is expiring. My new card is 4012888888881881 with security code 712, expiration date May 2026. Please use my new card for renewals. Thanks!

You may also receive messages like that in chat if you offer support via chat. And maybe even to email addresses other than support.

So now you've got a plain text password and two plain text credit numbers along with their security codes stored in the inboxes of everyone who is on the support list, and possibly also somewhere in the database of your ticketing system if mail to support automatically creates a ticket.

It gets worse. If you offer support by phone and that goes to voicemail after support hours you will find passwords and credit card numbers in there.

[1] Note: technically probably almost nothing is actually stored in plain text nowadays. It's almost always going to stored on a filesystem that is using filesystem level encryption, and that filesystem is likely on a block device that is doing block level encryption. But I believe when people talk about "plain text" storage it means at a higher level. If I store the string "this is a secret" in foo.txt, that counts as plain text even though foo.txt is on an encrypted filesystem on an encrypted disk.
> What nefarious purposes do you imagine the government has? Is matching suspected criminals against the crime database a nefarious purpose?

This is just strange.

Do you have no imagination whatsoever or have you never set foot in school or do you know literally nothing about history (maybe you were born yesterday and really quickly figured out how to write, I don't know)?
Yep. And that's the real value add that is happening right now.

HN concentrates on the hype but ignores the massive growth in startups that are applying commoditized foundational models to specific domains and applications.

Early Stage investments are made with a 5-7 year timeline in mind (either for later stage funding if successful or acquisition if less successful).

People also seem to ignore the fact that foundational models are on the verge of being commoditized over the next 5-7 years, which decreases the overall power of foundational ML companies, as applications become the key differentiator, and domain experience is hard to build (look at how it took Google 15 years to finally get on track in the cloud computing world)
I personally dislike the way many adults (parents) effectively poison the discourse with their children by giving biased answers that

a) maintain the status quo that they, the adult, are all-knowing and generally right, and

b) serves their own purposes (e.g. we can't go to the toy shop, they ran out of toys) rather than deal with the tantrum from just saying "no".
A friend of mine has a startup that does data acquisition on ocean bouys: https://marinelabs.io/

They've recorded a few rogue waves.
Cool! is this out of the box functionality for NotebookLM and if not what was your process?

EDIT checked it out, looks like the audio deep dive feature. So wild.
Similar here in Helsinki, there are a bunch of bins inside a communically accessible room - paper, glass, metal, mixed, plastic, and biological rubbish.

There's some fancy schedule for when the various bins are emptied, but not something I think about. It seems to work out okay.

Compared to Edinburgh where initially it was weekly, then fortnightly, and now collections occur every three weeks from what I remember. Recycling wasn't even an option unless you counted the bottle-banks at the local Tesco.
Would you rather be a toothless genius or a grinning idiot?
Also being brand aware would probably put it off the recent goings on at Open/ClosedAI.
Formulaic or novel media doesn’t make a huge difference, it’s just passive consumption either way.

Coincidentally I’ve been listening to Divers a bunch recently (which is a really great album, although I am just passively consuming just like everything else… I don’t know if it falls under formulaic for you, but it is a good formula if so). A lot of it is about death and time, and she ends one of the songs with a sort of gentle sing-songy “Look, and despair.” I always read the “Look on my works, ye Mighty, and despair!” in Ozymandias as a giant “fuck your hopes and achievements” from that ancient king.

Anyway, Joanna Newsom’s delivery is a lot more gentle, so maybe the fact that all of our effects and achievements will ground to dust is not so bad. Mattering would be very stressful.
Some[1] do invest, others don’t. Personally, I see myself on the poor side, rather than the rich side and what I care about is having a good life however short it is. Family, friends and adventure. I don’t believe in the afterlife in any form and I wish I could live forever with my loved ones but I’ve also accepted it’s natural to die. Maybe one day we will overcome death and we will live until the heat death of the universe. Meh.

[1] https://en.wikipedia.org/wiki/Calico_(company)
.new – Shortcut Domains
For scientific/technical computing, which uses a lot of floating-point operations and a lot of array operations, when the memory is limiting the performance almost always the limit is caused by the memory throughput and almost never by the memory latency (in correctly written programs, which allow the hardware prefetchers to do their job of hiding the memory latency).

The resemblance to the behavior of GPUs is not a coincidence, but it is because the GPUs are also mostly doing array operations.

So the general rule is that the programs dominated by array operations are sensitive mostly to the memory throughput.

This can be seen in the different effect of the memory bandwidth on the SPECint and SPECfp benchmark results, where the SPECfp results are usually greatly improved when memory with a higher throughput is used, unlike the SPECint results.
> If the build is reproducible, the signatures will match the output of future builds.

Anything that contains traces of a private key is not reproducible. The public key needs to be embedded in the kernel to be able to load the signed modules. If you distribute them without signature you can't load them due to the kernel not trusting them, if you sign them in any way with a private key they aren't reproducable since you don't want to hand out the private key. And to prevent additional random stuff being signed with the private key it gets discarded.

> If the user wants to use a custom kernel module, they’ll need to either rebuild with a new key, or turn off safe boot.

Or you can just sign the additional modules (e.g. DKMS) with the same key you sign the kernel & bootloader that you need to enroll into the UEFI anyway. It is less work on the users end and if the distro themselves wanna enable secure boot without user intervention via shim they need to do the signing stuff anyway.
The dispute is about trademarks and use of the brand name, so the relevant issue is a trademark license, not a software license.
They are not all going to get it right away, there are competitive drugs, it will first be used for patients who can’t tolerate current drugs. (Actually quite a few of them)

A lot of people with schizophrenia and related conditions are untreated. I know someone right now who is in her 40s and about to lose her housing who almost certainly has schizophrenia (sure has the thought disorder, if we want to pick her up to do something we might have to attempt it several times to pick her up, has grandiose delusions, no sign of hallucinations though, hasn’t really worked in 10 years) although she is undiagnosed and doesn’t believe there is anything wrong about her.

If you look at the homeless population I think you see a lot of schizophrenia and PSTD.
I think it will remain the time period with the most interest, similar to how electric guitar and amp enthusiasts view the 60s.

For electric guitars, the 60s wasn't the decade where they were invented (30s) or the decade where they found their "final form" (50s), it was when they entered the cultural zeitgeist.

Despite popularity of the 50s guitars/amps and later decades slowly rolling in to "retro" status, the era of the Beatles, the who, hendrix, the rolling stones, etc. will always be the most popular.

A curious part of this is a sort of generational nostalgia transfer, where (for example) the popular bands from the 90s had this nostalgia of the 60s, so they used old guitars and amps and were influenced by 60s music which caused their fans to have the same view.
Not really it was Siemens c35i era that have no problem with ringing alarm when switched off.
I'm a little puzzled:

> Splicing, cloning, overlaying, copy-and-pasting

Is there no 3nd-party verification?

no requirement to send original blot-papers somewhere?
I think the main issue that people took with your original comment is just that it makes a false claim (the 'retraction').

Even if we accept the alleged retraction, it doesn't really make sense in this context to say that it's unfair to come after Musk for saying (1) because he's subsequently said (2), given that (2) is equally inconsistent with banning posts sharing this dossier.
Well the 60s and 70s was mostly mainframes, a bit big for home tinkering. Babbage's difference engine would be an impressive project.

So basically,the 80s is the earliest easily accessible period.
Unless it's all a ploy by Tzeentch to prepare the ground for the coming of the Chaos Gods.
You can more or less fully understand an entire 80s home computer. The CPU, the memory access, the peripherals, and the graphics subsystem (…if you can call it that). Operating systems were simple by modern comparisons. Hardware is relatively cheap, and emulators at reliable, there was also a wealth of shareware available for many use cases, now much more easily available than when I ran a public access BBS for it.
The alternative is to invest the money into their own AI which will probably also become valuable.
How does it store data? Is it some nosql database that stores cells?
many tech people are making themselves redundant, so far mostly not because LLMs are putting them out of jobs, but because everyone decided to jump on the same bandwagon. When yet another AI YC startup surveys their peers about the most pressing AI-related problem to solve, it screams "we have no idea what to do, just want to ride this hype wave somehow"
Random Wikipedia Article
> This is like lamenting that a person who has a doctoral degree, say, in mathematics or physics often don't have a more than basic knowledge in, for example, medicine or pharmacy.

It was word problems not rocket science. That tells a lot about human intelligence. We're much less smart than we imagine, and most of our intelligence is based on book learning, not original discovery. Causal reasoning is based on learning and checking exceptions to rules. Truly novel ideation is actually rare.

We spent years implementing transformers in a naive way until someone figured out you can do it with much less memory (FlashAttention). That was such a face palm, it was a trivial idea thousands of PhDs missed. And the code is just 3 for loops, with a multiplication, a sum and an exponential. An algorithm that fits on a napkin in its abstract form.
There's also UncensoredDNS: https://blog.uncensoreddns.org/
I'd like to know that as well
Judge who sentenced Evan Gershkovich says trial did not look at evidence
Great, with that definition we can call all binaries opensource !