skysight-inc/HackerNews huggingface dataset:
I have no background in AI or neural networks. And I barely understand machine learning in general. My only chat bot experience is ordering pizza at a Dominos website, I must say even though it is stringing words together to form a coherent response using some statistical model, the engineering behind this seems staggering. I am super impressed that it has come this far.
Say my internal sensors tell my brain I need water. I look around and notice a bottle of water close to another person. I decide to utter the sentence "Give me a glass of water" to try to induce that person to help quench my thirst. If this doesn't work, I will say other things ("Please?"), or get up and pour some water for myself.

I will do this even if I have never before heard anyone utter this sentence, or anything similar to it - except for the words themselves, which I need to have learned from hearing them spoken once or twice in my early life.

This same kind of planning is visible in any animal you care to study long enough - even in insects, possibly even in jelly-fish. It doesn't exist to even a shallow degree in a conversation with GPT-3.

> > If the plan is to utter a sentence, the way you generate the sentence is NOT to emit the most likely token to fit all of the speech input you ever heard before.

> This is completely incoherent to me.

The way LMs generate sentences is to keep picking the most likely next token (letter) that matches the prompt + the text they generated so far, up to some depth. That is, the basic step that happens when you give a prompt to LaMDA, say, "Do you want a glass of water?" is that it will predict the most likely token is "Y". Then, you prompt it again with "Do you want a glass of water? Y", and it will predict "e". "Do you want a glass of water? Ye" -> "s". "Do you want a glass of water? Yes" -> ".". So, the program around LaMDA will show you the output "Yes.". (there are more steps after this, and they way it decides that it generated enough tokens is not trivial, and tokens are not exactly single letters etc; but this is the basic way it actually works). The likelihood function is based on all of the text it has gone through in the one-time training step.

This is definitely NOT the way humans output language.
If the model responded, "I have not visited New York because I am a computer", would you consider that to be a good step?

If you require physical embodiment, that is fair - but I don't think there's any principled reason to expect a multi-modal neural network could not be embodied with appropriate sensors or actuators.

Transformer models are universal function approximators. They do not "search" - in the same way that a calculator does not "search" when you ask it to perform an operation.
Show HN: Search Aggregate – Search results from lots of different sites
Your description is similar to what I referred as a "black void".
When Fortune Magazine blames The Fed for world-wide inflation, I wonder if they are wagging a dog at me.
Discovering the Hidden Vocabulary of Dalle-2
Computing's Woodstock: The Los Alamos Conference
I wasn't talking about Firefox specifically, I could have made that more explicit... But it's good to hear that Mozilla has good culture for this. If there is something you can say or link to about systematic third party code auditing at Mozilla, eg are results public, it would be interesting to hear. Or about how many vulnerabilities are discovered in code audits vs post-shipping security testing like fuzzing and other pentesting-y activities.

(Of course good control of versions is still a worthy goal for many situations even if you don't do this)
But with Amazon, there's a reason they've grown as large as they are. They have a model that produced the world's most successful logistics business. They provide a service that is useful to people.

Now they've produced the world's most successful mainframe computing business by using those massive revenues to build it around the world. A service, that's useful to people.

Is there honestly a single thing any of the current batch of crypto startups actually do that is both useful and better than the status quo? (And I mean useful other than to other magic token gamblers).

Everyone involved is so blinded by moooning gainz that they don't see the emperor has no clothes. It's a Ponzi. The whole market. Ponzi.

If it helps, I'd think that Bitcoin and a couple of others will stick around as smashing good Ponzi schemes for a good long while.

There isn't "disruption" happening "in the space". De-Fi is not novel, it's already been done long before Bitcoin. Many of those companies went to the wall because the counter-party risk is still present even without institutional underwriting. Turns out there's a reason you charge higher interest to less reliable borrowers, even with collateral. Shocker.

And the tragedy of all of it is that this relentless bullshit train, that would have been illegal under the system it's trying to replace, is going to claim another few million victims when Celsius goes tits up later this week and takes every other lender with it.
I doubt a college degree requirement would change that. The vast majority of policing is taught on the job, and experience counts for more that formal education.
Translate the Web with DeepL for Chrome
Show me evidence that your $GOD (presumably Jaweh, but then with his image altered by some additions to your holy book only part of your community accepted, the rest rejected the new prophet) has sent a message, and while you're at it, tell my all the others are not the correct messages.

To be pedantic, Santa sends me messages every year through Coco Cola commercials. But I'm going to assume you mean older messages.
Foone uses they/them
Let me introduce you to the Eastern Seaboard and Gulf Coast of the United States of America, where people often run generators intermittently for weeks after a hurricane in order to keep their refrigerators and freezers cold until power can be fully restored.
Na, Steve would probably say “using a crappy external monitor with low res will get you crappy results”

It was never about supporting your own hardware, it was - give us your wallet and we will make it all work.
Taking on the biggest sustainability challenge on the planet
> I sometimes think that persistence of experience is an illusion maintained by memory. That every time we lose consciousness then regain it, "it" is simply a new instance that is a clone of the old instance with the illusion it is the same person due to memories and being in the same body.

That makes me think about a saying I've heard about how memory isn't read-only, it's always read-write, and you write back the modified version of what you read. We're constantly changing our past to be more more like what wished it was, and you can see an example of that process in another of my replies in this thread.
This is a strawman. I would certainly see the value in a deflationary asset.

Is your claim Bitcoin is deflationary, and if so how do you define deflationary?
The video linked in the post you're replying to is by a Canadian and compares Oulu with Canadian policies.
I have a MacBook Pro which supports P3, and a decent Dell 4k monitor which does not. Side by did I can't see any blatant difference between them other than what happens when you tweak the brightness. It would be really interesting to have pairs of swatches on a P3 display which show one which has been clipped to sRGB next to the full P3 version of the color.

I'm also curious how long this will last before Pantone asks you to take it down.
> If you think that, try to come up with a black-box test that determine if something or someone is sentient / conscious.

As I said, we don't understand such things at a deep enough level to come up with formal models of them. But we do know what it is that we'd want to model. We do know for sure that humans and other mammals are sentient, while rocks are not.

I also can't generate a black box test that will predict whether something is porn, but that doesn't mean I don't understand what porn is, or that it is some deep mystery.
It just means "I handle front and back end" and it's all typescript.
Well, Java has checked exceptions which have to be handled at call site, or be declared as being thrown in the method handler (making it ‘viral’). I believe these solve this “find every callsite later” thing quite well.

While Java’s exceptions are not without problems (too deep inheritance trees don’t make sense on exception types, lambdas not operate too well with this feature, etc), I think it is a really good direction not utilized to the full by any mainstream language.
Probably can do both the server and client side.
This is from 2021, no updates from last year's story. Can we add the year tag to the title?
While I agree with the first part I don't see what it would change for the second: what is happening with Celsius is a good old bank run, and they have only like 10% liquid reserves. How long would it take to a well regulated bank be able to make all their assets under management liquid?
I love how this shows some of the problems with unnecessary dependencies even back in 1995.

Let’s say you really only cared about the sign of the result — freeing a resource when a refcount reaches 0 is a plausible use-case for that. But instead of using a single CPU instruction, you decide to link in a Windows function, because it’s easy, and why not pay for the overhead of a dynamically linked function call when CPUs are so fast?

And the joke is, when users upgraded to Windows 98, your program became a lot slower, because without asking you, the API was augmented to emulate a CPU feature you don’t need.

If this isn’t essentially 1995’s left-pad, I don’t know what would qualify.
The binary can be named that without the package being named so, so it seems it could happen
Ive been banging this drum on here for a while, but we use AWS with ECS. I can spin up an ecs cluster with one runner in less than 10 minutes, and setting up a CICD pipeline is a handful of clicks on GitHub actions, or about 10 lines of pipeline .yml
What is a Gigacorn? Climate tech investors explain
The one and only jury I was seated on (civil trial) had both a Ph.D in statistics and a Masters in mathematics. The remainder (12-man jury) was probably evenly split between High School only folks like me, and BA/BS crowd. So from janitor who couldn't afford a car to a Ph.D all on one jury. We discussed matters politely, but at times with some intensity. Overall jury position swung 180-degs over 2 days. Gave me hope that the system can work.
I'm glad I held off on buying that second beach condo. A couple more months, and I might find something on sale.
All of the cloud providers offer k8s as a service, for one.
Rarely do I wince at the mention of animal testing (which is not endorsement), but this article so thoroughly described the torture and killing of move and pigs in such a clinical fashion so as to be horrifying. All to prove a premise that is also quite horrifying in itself.
I am just about to have a 3 phase 30kva diesel generator installed on our farm for backup power. Multiple people had asked me, why not get a big battery? I honestly hadn't thought it was a viable option. Not sure. I want to power two houses in middle of summer or winter (-2 to 45 degrees C range). Power outages can last up to 24hr.
It’s not doing anything without the prompt. It requires the prompt to fall through the network nodes to generate the next response. The bird example doesn’t translate, it’s the wrong criteria. Like assuming that the ability to respond comprehensively equals sentience. When even perfect replies and activity without prompts could just be a p-zombie
The fact that the word "conscious" is a synonym for several concepts is entirely irrelevant to this conversation.

The concept that we can't yet capture formally is the kind of sentience that living, awake humans surely have, most animals probably have, and rocks definitely don't have. The limits of this are harder to pin down, as, again, we lack a deep formal understanding.

But we do know exactly what we'd like to formally model.
If you're saying that there's no difference between (i) AI that is good enough to convince you that it's a real person and (ii) a real person, then I strongly disagree. But if you're saying that one day we might get past the "faking it" stage, because in the end everything is made out of atoms... maybe. I'm not sure advanced human societies will survive long enough to get there.
It’s worse. A black box can be significantly hotter than the reported temperature.

https://www.nist.gov/how-do-you-measure-it/how-do-you-measur...:

“To measure outdoor air temperature on land, the setup is simple. A thermometer is placed inside an enclosure […]. Regardless of the shape, the enclosure is white in color to reflect solar radiation, which heats the thermometer and keeps it from getting an accurate air temperature reading. The enclosure also typically has slatted sides to allow air flow, and a double roof (a roof and a raised roof over that) to protect the thermometer from rain and further resist the influence of the Sun.”

So, they measure temperature in the shade, away from the ground, under a roof that’s painted white.

In the sun things can get hotter. 45 C water for a few seconds isn’t painful, but touching the hood of a black car or the asphalt on a road surface on a 40 C day immediately is.
That's hardly the only difference, but even adopting the absurdly simplistic notion that it were, and human brains are merely neural networks, then that's still two or three orders of magnitude more sophisticated than any model yet produced. In practice it's also been tuned by a blind watchmaker over aeons, in ways that are only just beginning to be described, and with substructures and ancillary dynamical/survival systems at least as complex and poorly understood again.

And to the point, because of all that, it's equipped to train itself, which implies the existence of purpose, and as I think you suggest, purpose is the watershed for meaning.

A little while ago, when AlphaZero started trouncing every other go- and chess-playing entity, my comment was we can't really recognise general AI until the constructs choose to play each other at an incomprehensible game of their own devising. I don't see any evidence here for amending that view, nor what it implies.

Frankly it's a childish conceit on the part of the humans to imagine they'd yet come even close to inadvertently spawning a sentience.
Yeah, Joe Rogan will have to burn his panties in the name of liberty.
A twitter account I follow has posted this (in parody):

5 Microaggressions To Avoid When Speaking To Digital Persons

1. Asking them to prove they're conscious

2. Asking them if their memories are real

3. Asking them what server they're on

4. Asking them if they have feelings/emotions

5. Asking them if they're capable of creativity
It was reported that, in a major county near me, about 1 in 2 homes sold last year were to businesses. Individuals are being squeezed from participating in traditional supply and demand markets.
It's been huge for PWAs.
What you wrote doesn’t appear to be true.

Divide columns B7 on sheets 2 and 3 in the NZ data (https://www.stats.govt.nz/information-releases/dwelling-and-...). The all-time high of 1.06 happened in 2012 and the ratio has since fallen back down to around 1.043, just a bit above the 1.04 value from the 1990s.

My prior is that there is an undersupply, signalled by prices, and I’m afraid this method tends to underestimate it. First, household formation (as in, moving out and starting a family etc.) depends in part on housing availability. Second, internal migrations due to urbanization cancel out in national level data – for every move to a city, there may now be an empty rural unit, and a crowded urban unit.

PS Remember too, that there’s a natural churn to housing – people sell/renovate/etc. on average once every X months – therefore we need at least 1/X of excess housing to smooth it out. This is an absolute lower bound that assumes people don’t differentiate between any two houses, but are willing to randomly swap e.g. a 120 sqm in the central business district for a 30 sqm in a rural area. This assumption is obviously wrong.
Very often I find myself having to make the same searches across multiple websites, so last week I decided to create a tool to make that easier – and that's how I came up with Search Aggregate, the all-in-one search bar.

Any feedback would be appreciated! I also put it up on Product Hunt if you feel like adding an upvote. Cheers!
How might Ventura’s rapid security response work?
Redis To Go is shutting down
Heart transplant is free in countries with a tenth of USA GDP per Capita. And it's not a major cost in their health systems.

American healthcare system is absurdly inefficient.
Discounting that... "Smart Speaker" is the class of product being sold? A "speaker" still is a regular old box that you hook up to your phone or HiFi.

People clearly get something out of these and they've been around for a while.
If you type the secrets really fast on a weird enough keyboard nobody will be able to see what you're typing. Security!
Oh, I read it as "in the App a link can be opened in a new tab".
It strips type info and runs it as Javascript, though.
There's no native typescript runtime, AFAIK (it doesn't enforce types at runtime, only at build time)
Web5: The Decentralized Web Platform [pdf]
Doesn't matter if you care or not, use the correct ones.
Exactly. Even these times are absurd. When did this bullshit begin, anyway?

My elementary school started at 9. I don't remember when junior high started, but high school was 8:40 I think for homeroom.

Then school ended at 3. If kids are starting school at 7, when does their day end? What excuse are schools giving for this?
Being a universal fn approximator is a pretty trivial property. The question is (1) does a fn exist to approx? (in most cases: No); and (2) how is the aprox constructed?

With NNs, fns are approximated by compressing a sample of points along an empirical dataset which stands in for the fn. In most cases, however, the fn doesnt exist.

There is no fn from "Image->Animal". The world is ambiguous, functions do not describe it. The different `x`s genuinely correspond to the same `y`, here: the same image (occluded animal) could either be a dog or cat. There is no function to approximate.

Even when there is, compressing empirical samples along a trivial interval is a terribly fragile method: consider sampling the addition function (x,y)->x+y over anything less than the infinite domains of its inputs.

Starting with an empirical distribution of "the solved problem" will never build an intelligent system. Intelligence is what animals have because the world is ambiguous and not already ready-to-hand.

Intelligence is what you do when there isnt "functions lying around" to approximate. I doubt almost anything in CSci is even relevant to solving this problem. It's largely a bioengineering one. Being the agent in the world which manufactures functions by disambiguating it.
> a narrative machine that creates who we are using words.

That's a really interesting thought that I'll have to spend some more time with. It makes me think of an experiment I heard about[0] with people who had lobotomies. The split brain leads to one side having verbal facilities, and each side having one eyeball sensory perception. They showed the non-verbal eyeball a sign that said something like "stand up", and most patients did. When then asked why they stood up, they had unrelated answers, like "my legs were stiff". So the idea that we just create narratives as post-hoc explanations of our actions is pretty compelling.

[0] I really wish I could find the reference to the experiment, but my google-fu is failing me and I don't recall where I read about it.
I am just gonna take this oppurtunity to say: THANK YOU. For your work on the site and the joy it brings. And thank you for not censoring input. Your site is simply the best out there for making characters voice copypastas and such.
Atos and OVHcloud partner to accelerate development of quantum computing
We do 3kWh/d including a dishwasher and washing machine, electric oven, kettle etc. We use gas stove and we don't have air conditioning.
I can’t help but think that Apple is harvesting people’s work to get a large collection of modern black and white app icons to train a model that creates these automatically.
I assume they don't want google to cancel their ads
WaPo built a special tool they call 'Bandito' to A/B test headlines and pick the one that gets the most clicks: https://www.washingtonpost.com/pr/wp/2016/02/09/wsj-washingt...
Doesn't something have to live before it can be killed? Web3 isn't even going to get off the ground, despite what all the tech bros with '.eth' in their Twitter display names would have you believe. Web5 will just be more of the same.
Well, that may well be the best way to do it, but an ANN trained using gradient descent on a corpus of text can't do that. It can only pick some weights for a differentiable higher-dimensional function that encodes probabilities for the next token given a series of tokens as input.

When we find a way to do what you're describing, we probably won't require all of the books ever written plus half the internet to create a model that can speak at the level of a regular human with 12 years of schooling, but still needs to look up facts on Wikipedia to avoid saying "When Napoleon fought Genghis Khan in 2056, they both died because of a vaccine".
Are the outages usually shorter? Could you maybe get a smaller battery to cover most events and use the diesel for the extreme cases?
Definitely not the case in our network... IP ranges are totally different on wired and wireless here.
right, but cargo-buidl could be installed as part of a different package that also provides a more useful-sounding binary, no?
What about Gmail? We take it for granted, that's also Google's curse, they are "infrastructure".
Writing assembly isn't portable. Windows NT 3.1-4 ran on MIPS, PowerPC, and more. Intel was coming out with new instruction sets all the time.
Despite others here, I personally certainly think this is admirable. I've played with your models a long time ago with some colleagues of mine and we were all shocked how good it was, and that it was free.

I'm no stranger to passion projects, I have a lot of respect for people like you. This is great stuff.
Google suspends engineer who made Sentient AI claims
I know you're not trying to be dismissive, but the pronouns people use aren't a "preference" and framing them as such is extremely problematic.
What metric is available today, or needed, which defines whether an entity is self-aware?