skysight-inc/HackerNews huggingface dataset:
Your definition of a successful product is making it very difficult for to you navigate this conversation. At no point has Facebook provided demonstrable success in regards to what we know as "The Metaverse". Frankly I don't even know what your argument is.

"The metaverse is a virtual reality (VR) space that enables users to interact with each other inside a computer-generated environment."

Maybe you're unaware of what the Metaverse is, and you're projecting some imagined reality 5-10 years down the road where the "Metaverse" is just web6 or web8 in terms of VR/AR integration with the internet as a whole. In that sense, yes, everyone with a foot in the game will have adopted to whatever that future looks like, but the Metaverse as we know it today will still not have been a success.

I think Microsoft is even ahead of Facebook in terms of a "Metaverse" style UI integration 10+ years ago.
Same, on mobile Firefox. Chrome renders it okay
A Turing machine with a finite tape can be simulated with an FSM, and so is in a lower class.
I love Terry Pratchett, but many of the TV adaptations have been a big miss. Though Good Omens was really well done, I thought.
They should have called it "Free" instead of "Free forever".
Good summary! (I was away for a bit)

I would only caution that people shouldn't overindex on mapping costs. When you're talking about entering a major metro area, you need lots of vehicles and depots and so on anyway just to provide the eventual service. So the upfront initial map build out is certainly a component of starting in a new geography, but I think people assume it is somehow dominant. It's not.

The current approach then for ride hailing, which requires depots, means that:

> just turn on the tap, buy a million cars and cover the whole country

is not happening anytime soon.
I'm certainly not trying to defend the guy. If anything, I think a lot of people in the "autism community" want to defend him (even if only to a degree), in part because they feel some emotional attachment to the label of "Asperger's" and are trying to shoot down the argument "we shouldn't use that label because it is named after a Nazi collaborator"

For all of Asperger's sins, he was too humble to actually name a disorder after himself – he called his disorder "autistic psychopathy". Lorna Wing renamed it after him, because the word "psychopath" had become very stigmatised, and Asperger was using it in an older and broader sense than current discussions of "psychopathy", which is prone to confuse the uneducated layperson. Wing was actually one of the people trying to defend Asperger–before her death, she wasn't aware of the further historical research published on this topic after she died, and who knows whether she would have revised her position if she'd lived to see that–it is understandable she'd want to defend one of the major decisions of her career–and she was (at best) dimly aware of this aspect of Asperger's history when she made that decision

I will admit to myself sometimes using "Aspergian" in describing some of my own personality traits, not because I necessarily agree with the term, but simply because it is a useful shorthand which my listener is likely to understand, and as much as I'd love to dump all these details and more on them, it risks overwhelming their time, attention and comprehension
Ah but the rub is that it would not be unreliable.

One of the things I discovered was that "reliable" in the eyes of non-engineers isn't the same thing. I have a NAS system for my important data because I know it is reliable, I know dozens of people who "have a copy on a flash stick" because they consider that reliable.

You can build "good enough" in a rack that will serve a LOT of clients. One layer of ZFS (1U + 3U) for storage, Five 1U servers, one 2U 10G switch.

In my experience that is 1 failure (that results in an outage) every 2 years at most. When I was at Google I (like everyone) had access to failure information about equipment in the "fleet." Motherboards do fail, but VERY rarely, disks are the worst offender but with double parity ZFS you have a week at a minimum to replace a failed drive. ALL the drive failures at Blekko announced themselves before they failed with SMART data.

So in addition to the colo cost you've got an engineer spending part of their time watching the rack, fractional head count cost.
> Planes are held to a standard that we don't hold buses and trains to. We should strive to make rational decisions as a matter of policy.

What are the poor ROI irrational decisions that the FAA makes on airline safety, how many lives do they save, and how many dollars do they add to the price of my ticket?

It's easy to say that things are not optimal. Let's say that's the case. What would you change?

> The US is dedicating the lives of countless smart people to taking a thing that was going to fly through the air like a bird and ... not changing the outcome much. They could have been doing something else that was more useful, like competing with China for telecoms leadership.

The US isn't a command economy, it can't redirect human effort like that, introducing subsidies into telecoms will distort the markets, and most of the country's intellect is wasted on financial innovation and adtech and middle management, anyways.
IIRC they rely on keeping the runs a secret until statues of limitations expire. There should be, if not already, some laws about public endangerment which don't expire. Then they're own documentation will be evidence against them.
I can only vaguely recall this stage... but I found standing on a board without trucks or wheels fairly helpful!

On a relatively firm surface (ie: carpet) this provides some practice for the balancing act. How foot placement and the contours in the board impact things too

Similarly, on something with a little more flex (grass), it's a decent way to start trying some flip tricks :)

As for rolling around, I think it's mostly finding really smooth/flat surfaces... and just doing it a lot.

Depending on your wheels/weight placement, anything thicker than a quarter can stop you almost immediately.

It takes a little while to get the 'feel' and speed to deal with rougher surfaces particularly well
PDO databases are pretty nice.
Maybe it works to have a free tier and yank the rug out from everyone, and maybe the solution is that we should just pay for what things cost?

The whole internet is like this, people often don't want to pay, they want it free, then the advertisers pay, we get pissy about advertising, and we become the product, and we flock to the next free thing after the free thing stops being free ...

I wish things weren't all free, I wish we paid easily, and the relationship really be between us and the provider, directly with enough money to actually make them profitable. But it isn't that way for a lot of things, and I feel like we as users are part of the problem too.
London has a similar approach. They only allow public transit and cabs.
RSS (several tools available)
I wonder how many people did their own CodeIgniter updates. I’ve also almost completely transformed the thing, but the base is still CodeIgniter.
At risk of being called a crank, hasnt there been some accusations shes a CPC/CCP asset?
I think a lot of it is that they are intentionally not measuring the "degradation" in quality experienced. I've noticed that 8 bit quantization of a model like dolly is significantly worse than the 32bit version of it. Seen similar results with using quantization with stable diffusion - the images really are worse, just so little at half percision that it's worth the trade-off.
Not off topic at all
How is it fundamentally any different than 10s of thousands of clients requesting JSON or whatever other serialized data format?
https://github.com/codr7/cl-ps
I wonder what the crash test results are. I can't imagine that this car can adequately protect its passengers.
Just imagine a crash with a full sized SUV.
True, but I'd say there's zero relationship between the AWS price list and what Netflix pays.

So Netflix doesn't really count as an example of how AWS is a practical option for video hosting.
Last based on what metrics? I've never seen anything better than the Tesla FSD except for the LIDAR robo taxis, but they are solving a very different problem with different constraints. Most recent cost estimate I can find shows a cost per vehicle of $130-150K for Waymo vs the Tesla system that needs to go in a vehicle costing $40-50K which makes using a Waymo style sensor suite impossible. Would be interesting to see how the Tesla software would perform with the sensor input of something like the superior Waymo suite, but we won't ever find out unless costs come down by a massive amount.
Sure, a 13B model can be fine-tuned to be pretty decent, which is quite remarkable compared to GPT3's 175B paramters. But a 3B model has 1/4th as many parameters as Vicune-13B, or about twice as many as GPT2. Can you really fine-tune that to do anything useful that wouldn't be better handled by a more specialized open-source model?
> Ok, but how would the researchers communicate their evaluation to non-experts?

Conferences, journals, and papers are not for non-experts. They are explicitly for experts to communicate with experts. The truth is that papers have never been validated and likely never will. Code often isn't uploaded alongside papers and when it is I know only a handful of people that look at it (including myself) and only one that executes it (and not often). Validation only happens with reproduction (i.e. grad students learning) and funding doesn't encourage that. Despite open source code, lots of ML is still difficult to reproduce, if it can be done at all.

We also use normal forms of communication like Twitter, HN, Reddit, email, etc but there's a lot of noise (as you note). We speak a different language though, so you can often tell.

Frankly, a lot of us are not concerned with explaining our work to layman. It's a lot of work, especially the more complex a subject is and we're already under high pressure to continue researching. It's never good enough. There's no clear "done with work" time in jobs like this. You're always working, so allocate your energy (I'm venting and mentally fatigued right now). I used to be passionate about teaching laymen but I'm tired of arguing with armchair experts. Still happy and passionate about teaching my students and performing research, so that's where I'll spend most of my energy: in the classroom or blogs. The more popular a subject is, the more likely this is to happen too, ironically.

Communication should come from news, university departments, and specialty science communicators, but that's broken down. Honestly, I just think it's a tough time for laymen to get accurate information. There's a lot of good information out there for you all (us researchers learn from publicly available materials) but expertise is being able to distinguish signal from noise, and the greater the popularity, the greater the noise. This isn't just true for ML, we see this in things like climate, nuclear, covid, gender/sexuality, and other hot topics. Only thing you can do is actually use a common strategy from researchers: have high doubt and look for patterns from research groups.
there is no silver bullet
> the goal was to stop people from talking about China's actions

You made this up. Nowhere in this thread is it implied.
Going Postal was quite good.
Shotwell famously has a team of handlers to occupy Musk and keep him from counterproductively terrorizing his employees. There are dozens of firsthand reports of petulant harassment and petty self-aggrandizement at the hands of Musk upon employees at Tesla and SpaceX. Things like firing employees at random in order to instill fear, only for the real adults in the room (like Shotwell) to quietly re-hire the fired person the next day. You don't need to be a "Musk hater" to recognize what a shitty CEO he is (in fact, you only need to pay attention to the disaster that has been his Twitter acquisition), although flippantly denouncing any critics as mere "haters" sure is a favorite tactic of those begging to lick Musk's bootheels.
I’ll admit that this comment struck me as strange too (and the thought it might be generated also crossed my mind) but I try to keep an open mind and after considering it, I think the point about white supremacy is worth considering. Note that the writer didn’t say “you’re a racist” but rather framed it rather neutrally: “This can be seen as a form of white supremacy, as it can exclude voices and perspectives from people who may not have access”.

The question this raises is, who has access to state-of-the-art AI tech, and who does not, and might these groups have a racial dimension? Objectively, surely they do? Don’t lightweight models therefore serve an important democratizing purpose, in that they make this tech accessible to (for instance) people in developing nations who are overwhelmingly black and brown?
You set off the cost of moving elsewhere, like an insurance. Or you are smart and use commodity services.
They had a good year,

https://www.sec.gov/news/press-release/2022-206

They hit the banks for 1.2B$ for using personal devices to conduct business communications, maybe that's the whistle?
Try building software that doesn’t match the political structure. I guarantee you will regret it.

You’ll constantly be dealing with all the problems because nobody else will care.
Archive with full text: https://archive.ph/sAuiA
This article and others are most certainly just baseless hit pieces. They have shown up before, and seem to be extreme animal activists leveraging anti-Musk sentiment.

A neurosurgeon at Neurallink was just on Huberman Lab. He discussed, in detail: why they do the kind of animal testing they do, the humane parts, inhumane practices, the internal culture.

I’ll take his word for it to be honest.
z/VM and PRSM aren't in the same category as System/38, AS/400 Lisp machines, stack machines, the iAPX 432, Common Lisp, the JVM, Burroughs Large Systems, etc.

z/VM and PRSM are just virtualising (relatively) mainstream hardware, fundamentally no different than what VMware/Xen/KVM/VirtualBox/HyperV/etc do.

The rest are either (1) hardware architectures whose ISAs are much further from mainstream than 360/370/390/z is–aiming to provide high-level capabilities which are normally provided in software, making the distance between the hardware ISA and HLLs much smaller than normal; (2) software architectures which could be implemented in hardware (and occasionally were) to become instances of (1).
Most middle class people in the US end up buying a car which costs approximately equal to a year's income.

(Average new car price: 46k, Median Income: ~54k before tax)

If tax rebates become a way to control what people can and can not afford to buy, it's just a welfare program deceptively designed for benefiting the top few percent of people drawing a steady income.

Maybe most people are buying cars they can not afford, but that is not an excuse to take away that choice.
Behringer sells a 2600 clone for $500. Price just dropped so I've been trying to justify not buying it. I really don't need it
Because the "tape" is infinite, then the possibilities to name individual machines are infinite. I can create the number of a machine which is just a simple non-deterministic finite automata using a Turing Machine description.

My point is that we can always use more powerful machines to describe less powerful ones, but that isn't an indicator that they are then less powerful.
Seems like wsj trying to make something out of nothing. Obviously there is content that can be categorised as LGBT, and obviously there are users who engage with it. Those users will be associated with the content somewhere, that's a prerequisite for a recommendation algorithm that gives you more of what you watch. What's the issue here? TikTok also tracks users who watched content about kites, airplanes, Democrats, Republicans, and dinosaurs. And pretty much any other category of content you can imagine.
I agree with you, I'd rather pay for stuff. But paid products required appropriate information about what you're buying. A freemium model is one way that potential buyers can decide if a thing is valuable enough to pay for.
Shap-E: Generate 3D objects conditioned on text or images
I hear they did, but if you know a guy with a support contract on the same model...
Turning black is almost certainly from tire dust, which electric cars also produce.
That would be a sole reason to use this for me..
These gpt responses are such a turn off - one day we might not detect them ¯\_(ツ)_/¯
You could have just admitted that you're incapable of critical reading and moved on, instead of that wall of text.
White text on grey background, really?
built a leaderboard of the top AI tools for hackers lol
Often you can find that they will charge $xx per additional person, if you go over the listed figure (if you choose to declare the overage).
I'm well aware of all that has been done to explain the ideas behind crypto, NFTs, and the rest of the ecosystem. I know what the boosters say and can do a decent job of explaining it in a pinch. I've been hearing about it here and elsewhere since 2009.

I also believe that the entire crypto ecosystem is a wasteful solution in search of a problem. And the biggest players in the space, over and over again have been proven to be criminal frauds trying to generate the next hype wave. Often through wash trading to make it appear that there is more of a market than there is.

The current wave of legal problems for Celsius, FTX, Binance and so on have started to reveal the lies that many expected all along. For example we've found out in court that the "attestations" long used by many were faked. (Not that this was a surprise given that, for example, Tether was revealed previously to have been faking its numbers.) To the extent that there actually was money, a lot of it was in now failed banks like Signature Bank. Or it is connected to money laundering, as happened with Tether. (See https://protos.com/did-tether-falsify-documents-to-fool-caut... for one of many places where that is reported.)

The sky-high valuations for cryptocurrencies these days are not believable. Yes, people trade that many tethers for a bitcoin, but good luck getting tethers redeemed. And most consumers had their money in fraudulent exchanges like FTX and Binance. They are learning the hard way the truth of, "Not your keys, not your crypto."

You say that there is no excuse in 2023 for being so clueless and, yet, assertive. I say that there is no excuse in 2023 for you being so dismissive about a field filled with Ponzi schemes, some of which have collapsed and others of which are still able to pretend to a solvency that they clearly don't have.
There is no “one size fits all” here. A bigger model is just a bigger hammer, that in many uses is too bulky and slow to be a proper solution.

At my job, I can’t casually fire up 8xA100 80gb instances. And if I could, the performance wouldn’t have the throughput I require to be useful. Big models are operationally much more expensive.

The smallest/fastest model that is accurate enough for your use case is ideal.
> It seems like most people don't actually like hamburger menus. So why do we, as developers, keep using them in our products and designs?

Oh my. what a great question. Simple answer: Because there are as many incompetent designers as there are incompetent managers, and we usually think "well, i guess he knows what he is doing" (yes. he. almost always)

Spoiler: He does not. And modern UIs are full of actively unusable widgets, confusing displays, bad readability and are in a general state of "the emperors new clothes".
> The question is whether it'll ever get out of cities? While storage is constantly getting cheaper, but is it feasible to map and update the maps sufficiently for a cross-country trip?

That's certainly the intent with Waymo Via for trucking, and we drive multiple routes today including say Dallas <=> Houston for beer [1]. The video at [2] includes some footage of the trucks on a highway.

[1] https://www.ttnews.com/articles/waymo-ch-robinson-driverless...

[2] https://www.youtube.com/watch?v=Lon1vRv2wQ8
It's still a thing. I want to try this out but I have a 4 track and my vcr doesn't have stereo in

https://facebook.com/groups/528835951138452/
I guess you can broadly split compliance work like this into two categories, spot checks and audits. The former where you're pseudo-randomly checking that they are following the rules, and punishing them where you aren't (taxes work like this), the latter where you are systematically checking that the rules have been followed (I believe building inspections work like this).

1 inspector/100 facilities seems within the realms of reason if you're doing spot checks. It's absurd if you think you need to be doing continuous audits.

It sounds like you're saying there's good reason to think the slaughterhouse business needs the latter (that there is a documented history of abuse despite them happening - I don't really know anything about the industry), but most industries seem to survive on spot checks.

I don't know much about the zoos and breeders that the USDS is inspecting either, maybe continuous auditing would be a good idea, but it doesn't seem absurd to think that spot checks are sufficient. Is there some particular reason to think that they're like slaughter houses and that spot checks are clearly insufficient?
Once I accidentally took someone else's cart, and another time someone accidentally took mine. The first incidence led to the shoppers filling extra bags of bulk food items until I returned the cart to them. The second incidence resulted in me loudly asking who took my cart and describing the contents (including my reusable bags) for a bit until the person found me and then muttered to themself that they'd now have to try to find where they left their cart.
Short lived piece.
> Their point on hiring the best engineers was specifically about not following the hype, and allowing engineers to engineer.

That’s weird. Any time I’ve seen anyone let their engineers engineer, those engineers have immediately started following the hype.
You could handle that with geofencing, too. If somebody didn't want to participate in this scheme, they could easily not, after all. (Heck, you could even just have a separate code on the wall, to be scanned when prompted.)
There would be nothing to post to HN without "content creators"
"Figuring out how to launch stuff extremely cheaply" is not some kind of secret sauce or competitive strategy, it's literally what every rocket company is also working towards. The ability to specifically target Mars risks optimizing for a rocket that is extremely wasteful relative to what the market is willing to bear. Case in point, what companies want is not shipping material on Mars, the moon, or any deep space capability; they want satellites in Earth orbit. You don't need Starship for that, instead you need to double down on Falcon, and every dollar spent on the former is a dollar that's not spent on the latter.
If that's all you want then sure, but that's not what I would call a good password quality meter. It makes no attempt to look for patterns or words or super-common passwords.
A newer but much better system actually reduces the model size while reducing the functionality of the system - similar to training a NN for a very specific task (as was typical several years ago), but now it can happen with far less data.
https://arxiv.org/pdf/2305.02301.pdf
This paper is quite fantastic, and will likely shape up to be a quite important glue task for LLM models to generate.
+1 for Factorio.

As alternatives, there are Satisfactory (which is 3D and prettier than Factorio, but not as polished), and Dyson Sphere Program (which lacks multiplayer).
What is their plan to monetize?

Isn't the the saying: "if it's free, you're the product"?
Fair. And I didn't say it is a blocker. Just an easy footgun/downside. Is listed on the page linked, even.