skysight-inc/HackerNews huggingface dataset:
There's a similar effect in old movies when a super-strong character picks up a massive boulder that is actually made of styrofoam or something. You can tell that the mass is wrong based on the way it moves.

I think this is a similar effect but in reverse -- we know the limbs are heavy and aren't made of styrofoam, so the fact that they are moving like they are is uncanny. Our brains aren't used to motorized and hydraulic limbs.

You can get a little bit of this effect watching assembly line arms sometimes, but it's less jarring because they are clearly disembodied, whereas this thing is fairly humanoid.
Gold has had a widely agreed upon definition for thousands of years. Bitcoin is a ~decade old open source project with a clearly established philosophical divide between small-blockers and big-blockers. In other open source project variants, small name changes like adding/changing a suffix or prefix are common, why would Bitcoin be the exception?

Given that you accepted that BCH is the continuation of big-blocker's vision of the Bitcoin experiment, your comparison of it to gold-plated tungsten is flawed. BCH has a legitimate reason to exist. Your comparison might be more apt if BCH weren't born out of the block-size debate, but that's simply not the reality.

Ultimately, the market has spoken on this issue. The Bitcoin Cash name has been accepted as valid. It's not a trademark violation and it's not fraud akin to gold-plated tungsten. It's a legitimate continuation of big-blocker's vision of the Bitcoin experiment.

The term "bcash" on the other hand is quite clearly a pejorative and a transparent attempt to manipulation language. I'd expect better on a forum like this, but of course there will be some low-brow argumentation style anywhere you go. I'm frankly surprised you're still defending its use at this point.
I was ~11 years old when the iMac came out. I hated it.

Looking back now - I enjoyed working with computers, I suppose in part because I liked being good at something that was an "adult" activity.

And here Apple comes out with a computer that looks like a Fisher Price toy 6-year-olds should play with. Of course I wanted nothing to do with it.
Very impressive that AP disengaged at the beginning.

I don’t have much experience in SDCs, but did some computer vision/ robotics work previously.

I truly think that Tesla’s approach, if it works, will win in the long run (ie - next 15-20 years, I think the breakthrough for true L5 isn’t here yet - but will be in improvements in one-shot learning over the next decade).

Winter driving is a completely different beast than driving out in Arizona. You have to account for snow banks, slipperiness, lidar obstruction, and control itself - which is much harder.

How many thousands of miles of snow driving data does Tesla possess, compared to the #2 player?

Tesla’s approach of vision based, AP disengagement-led training will scale better, precisely due to what you’re looking at in this article - yeah, this is an unimpressive demo - but winter driving, rainy driving, dirt road driving are all general cases for Tesla, while they’re special cases for other companies (from what’s been revealed; Comma might be an exception).

Most people drive in the place they live, and drive on the highway to visit their friends and parents. It’s easy to be deceived into thinking driving is a small problem space of stop signs and lane changes. But even within just North America, there is enormous variety.

There is massive risk involved - these folks are pushing NNs further than any application I’ve seen, but with the last few releases, it suddenly doesn’t look all that crazy.

Secondly, combining rules based systems and neural networks is difficult. You end up with the N * M problem, and inevitably end up missing cases. It makes sense to do the absolute basic safety features as rules, and Tesla might be doing this, but all it takes for Tesla’s NN approach to pay off is one leap in explainability. There is an entire industry working on this - and Tesla will be the single biggest benefactor.

I don’t know who will win L5 - but I’m putting my bets on Tesla for L4.
In the same vein: https://github.com/ossu/computer-science
Not sure if this is a solution for you, since you describe neural processing fatigue. The Apple AirPods Pro have the ability to modify sound output based on an audiogram. The audiogram can be generated by other certified apps, that have been calibrated, on the regular AirPods for example. It is then stored in the Apple Health app.
It is pretty amazing, wearing the AirPods in this mode is almost as good as hearing aids. But I am not sure if it can address your neural fatigue, for which you might want to get a second opinion.
Look in the comment thread to links to scihub.

Yes, they use an off-the-shelf diagnostic tool. No, that does not make the methodology sound. They use a word like "aggression" which has a qualitative meaning and attempt to assign a quantitative metric to it. To assign a meaning to it, I would have to go to other studies to find out how this links to my various qualitative notion of "aggressive": incidence of violent crime vs. cutting in line vs. correcting people's grammar.

You may say "this is impossible, the bar you are setting means that social science papers can't even use the word 'aggressive' to describe quantitative results". And yes, that's true, they can't. They can say things like "convicted of a violent crime" which we can at least agree means something objective that vaguely correlates to aggressiveness (although this has limits). The media can report this as "aggression" and that's fine too, so long as we know what is actually being measured.
That’s not “snowy conditions,” that’s a clear day on a well-plowed road. We don’t have such nice conditions anytime from January to March in parts of the US. =)

Clearly a ways to go, though better than I would have expected.
It's worth noting that the Bay area, the entire metropolitan area, is about the size of Detroit. It's about a quarter the size of Los Angeles or New York.

It's a very, uh, Bay-centric view of the world that would lump those three together.
What surprises me is the lack of urgency on the part of the US government. A lack of competitive chip manufacturing in the US is a threat.
Weather the storm for the next few years and then keep going?

Consider that Zen took about 5 years to do, when AMD were in a much weaker position than Intel are now. Intel's process problems are harder to deal with but they're not insurmountable as long as they get ahead for the next generation (Which they definitely have the cash to do).

Intel aren't anywhere near as doomed as commenters would have you believe on here or Reddit. Ultimately this is down to whether their leadership keep their heads up or are cynical.
Stairs on Google are often the result of leveraging Captcha questions, i.e. Google made the public do the work but then locked up the data under a non-public license.
Brooks:

> The essence of a software entity is a construct of interlocking concepts: data sets, relationships among data items, algorithms, and invocations of functions. This essence is abstract, in that the conceptual construct is the same under many different representations. It is nonetheless highly precise and richly detailed. I believe the hard part of building software to be the specification, design, and testing of this conceptual construct, not the labor of representing it and testing the fidelity of the representation. We still make syntax errors, to be sure; but they are fuzz compared to the conceptual errors in most systems.

I think Brooks by focusing on the reality of the world reflected into topology of systems focuses on the essentials for the complexity. Yes, we can abstract some complexity but we also know these abstractions are leaky - heaping too many of them on top of each other and it topples.

Even more important there are limits to how much most of us can juggle in their minds - exceed that threshold and we need a team with all the overhead that accompanies that. Once inter human communication is part of the process any optimization on tool level can only improve the situation by so much.
Flow's model isn't directly as an application, I suspect, but rather a browsing engine. Since the article mentions set-top boxes, that means deploying to fixed hardware which is usually the case for things like integrated browsers on TVs, consoles, and digital billboards or the like. And possibly video game UIs, like Coherent Labs's software.

So presumably one would license the engine to use in their device or game and integrate that cost on the end product, rather than a user explicitly paying $X to Ekioh.
and can Waymo? or other self driving cos? AFAIK the only real world data we have from Waymo is in flat and sunny suburban Phoenix.
Foxconn (also known as Hon Hai Precision Industry Co) makes pretty good money for themselves, too.
And?

> manual skills can one learn that pay well, and can be self-taught?

This was the question. How does tattooing do not fit it?
That really brings question will all of those experts be trusted? Or might they be swayed by a hostile party like NSA? So the updated version would be more insecure than the existing one...
Also

https://pybenchmarks.org/
This is fascinating. In short, the vision processing aspect still worked quite well, wrt. drivable area, lane lines, pedestrians, etc. Room to improve, for certain, but I’m not seeing a fundamental flaw here.

What’s left is the driving part, the “how to make the car follow this path” part. I predict this part will be ridiculously good once Tesla gets around to it. Imagine the traction control in your car, now with immediate-response electric motors, and it knows where it wants to go in 3d space (not just “driver is turning wheel to the right”, but actually knowing the arc to follow).

Exciting times.
> An example: I recently searched for "photography repair" in my area and Apple gave me film developing places and local event photographers, Google gave me (I kid you not, first result) McDonalds and Best Buy.

Not to put too fine a point on it, but your results might have been more satisfying if you had searched using the term “camera repair”.
Sometimes I forget how America centric HN is. The internal walls in my house are made of stone. But it's an old house. Most in my country are made of brick.
Do you understand how terribly inefficient it is?
Hi there! I'm the founder.

This is my "hobby project". I work at Google as an SRE.

One of the ideas here is to integrate the Agora with existing social networks:

https://twitter.com/flancian/status/1343979536434798598

The Agora is an overlay to the internet (semantic web) controlled by users. It is part of the open source ecosystem.
But owning shares mean owning a part of a company? Does that mean that when a company’s shares are invalidated, then the company is now worth zero, and anybody can buy it for a penny? Are the owners forced to sell everything for a penny, or they are allowed to choose, when to sell and at what price?

Why would the price be different from current stock price?
With a title like that, you'd think the article would make a more obvious enumeration of the reasons Substack might not be the future we want. Instead it spends most of its time in a declarative, historian's voice.

But while the author drops a few implications along the way, it's not really until the fifth or so paragraph from the end do they finally reveal a more concrete suspicion:

> A robust press is essential to a functioning democracy, and a cultural turn toward journalistic individualism might not be in the collective interest. It is expensive and laborious to hold powerful people and institutions to account, and, at many media organizations, any given article is the result of collaboration between writers, editors, copy editors, fact checkers, and producers.

Dunno, it kinda seems like wondering if there can be room for a multi-million dollar HBO special like Game of Thrones in a world where niche Patreon creators are making thousands of dollars. I guess we don't even need analogy: how do paid niche blogs (which is a far more accurate description of Substack than "premium newsletters") threaten large publications?

But to answer their question: yes, I think Substack is definitely part of the future we want. For years we've wondered if we could back out of our ad-driven internet economy where small players had no shot at making a living if they couldn't attract ad dollars. We've brainstormed so much about what that could even look like.

Then platforms like Patreon and Substack popped up and demonstrated what a lot of us assumed was impossible: people opening their wallet to support an individual.

Looks like there actually is a way through this ad-driven mess.
I just want to add that the skills that make a good First Person Shooter player do not translate to real-world shooting skills AT ALL.

In a virtual world:

- The gun weights nothing so strength doesn't matter and gravity doesn't slow your aim

- The trigger is a mouse button and there is no right or wrong way to pull it, and it's incredibly easy and identical for all firearms

- The accuracy of the firearm is often perfect

- Holding the gun still is usually only a consideration when sniping and you can just hold down a button to achieve an impossible level of stillness

- When you reload a half-empty magazine the bullets from the discarded magazine usually stay in your overall supply somehow

- Posture is a non-issue

- Recoil never hurts

- You achieve a perfect sight/scope picture every time you shoulder the weapon or raise it up with no practice needed

Basically I am trying to point out that these games are really not simulations. The visuals are just window-dressing for the real game which is determined by the mode. Even the ubiquitous "team deathmatch" is essentially just a modified version of capture-the-flag without the flag where eliminations are not permanent and the game is instead ended by a timer or a score limit.

On an interesting note, I got the game Star Wars: Battlefront 2 recently and I noticed that the game says I "defeated" whoever I just shot which is in contrast with the visuals of the person getting shot and falling down. I see this as an attempt to make the game more friendly to kids by pulling back the curtain on what is really happening through language in order to keep kids from going around talking about how many dozen people they killed in the last game they played. I don't see anything wrong with this but think it should not be necessary for adults. Of course if your game is rated T (Teen) or E (Everyone) then this makes perfect sense.
While I don't think violent video games cause violence, it's not a completely ridiculous premise. Interactive video games require you to take and execute the decision yourself, putting yourself in the shoes of the player character.

If you've played the Last of Us 1 or 2, you know what I'm talking about. If you saw it, it would affect you deeply. But actually doing those things hits so much harder. Is it possible that has a deeper effect on us compared to a movie? I don't know, but it's not a ridiculous proposition.
I also don't think there's a strong correlation / causation, but this isn't solid proof.

If there was a causation then the reduction in violent crime could be muted by a small factor due to games, while the net decrease is (as before) caused by an even larger independent factor. In other words, the net decrease could have been larger without the presence of games.

What it does instead show is a maximum plausible effect size, and that it likely isn't worse than the activities which it is replacing.
I've been having a lot of fun on Zillow today. How about TWO houses on 5.5 acres?

$90,000

https://www.zillow.com/homedetails/300-Highland-Rd-Sturgis-K...?

$89,900 for a five bedroom

https://www.zillow.com/homedetails/2901-Mcclellan-Blvd-Annis...

$99,900 for a four bedroom

https://www.zillow.com/homedetails/623-Ben-Hur-Ave-Knoxville...
I am ready to buy.

Needs: FOSS reasonable rendering, runs on Linux (Gentoo), no-bs. It's mostly FF - but they still pack in BS. And I want things like uBO to work.

I keep experiment with Servo and trying to build apps to embed other renderers so already spend time-cash trying to solve "user agent" problem
Yeah, driving on snow is a completely different beast. Winter tires are a must if you want to have any kind of traction (and no, 4WD / AWD is not a suitable replacement), and you definitely have to avoid sudden moves (my dad taught me to "drive with an egg under your foot"). Adjusting speed to the traction conditions is something I suspect a computer could do much better than I.

Having the lane markings be covered is also a challenge, but we usually find the lanes by looking at the road more broadly. If there is any kind of traffic, you'll get "tracks" pretty quick, too.

I strongly suspect we'll need a lot more AI training before we see a good FSD solution for colder climates, as it's very different from summer driving.
Only one fiber per thread runs at a time, so that would naturally limit the concurrency of fibers to the number of threads?
In the vein's shadow:

[audio books] http://audiobookbay.nl/

[books] http://gen.lib.rus.ec/

[research papers] https://sci-hub.do/
If Python was a good scientific programming language, the most natural way to implement scipy/numpy and all that would be using Python itself, but this is not at all the case.

To be fair, with modern hardware capabilities, I still wouldn’t be writing out linear algebra algorithms in the language itself even if I were programming in a relatively low-level language like C or C++. I’d be using an implementation of BLAS/LAPACK or some other suitable library, which in turn might well have been written in carefully tuned assembly language on the target platform in order to use any parallel or otherwise specialised operations provided by a CPU or GPU, partition data for optimal cache use, etc.

The situation with numpy and other numerical libraries in Python seems analogous. We are still importing highly optimised code to do the numerical heavy lifting and then using a higher-level language to write the less performance-sensitive logic and glue everything together conveniently.
>You and the previous poster seem to ignore that the punishment is just (to the extent that the criminal justice system is capable of justice).

By your logic, the Uighurs are experiencing "just" punishment under the laws of the People's Republic of China.

Since the Uighurs have committed "crimes" (as defined by the government under which they live) against the state, they are subject to whatever punishment is prescribed by the law.

This is, of course, ridiculous on its face. And is just as ridiculous anywhere else.

There are valid reasons to separate some folks from the rest of society (think John Wayne Gacy, Jeffrey Dahmer, Ted Bundy, etc.), as they've shown themselves to be unable/unwilling to respect the rights of others within that society.

Incarceration as a tool of punishment, while widely used, often poses more risk of harming society than any benefit from "punishing" offenders.

It's a complex issue, and simplifying it to "Law and order! Lock 'em up!" is reductive and often detrimental to the societies it's supposed to improve.
Give it time. An entire fleet rapidly growing is training. Every unit Tesla sells is another sensor platform learning.
> its fiction and not intended to be a guide to life

You might read the actual tale of Little Red Riding Hood. It is very much meant as a guide for young girls in what to expect and watch out for in life.
De-monitized just means advertisers don't want to advertise on those channels via YouTube. It doesn't mean the channel can't find other means of funding itself. It's not YouTube's responsibility to fund a channel regardless of feedback from its advertisers. Simply put, you can't expect free money.
I was just thinking how I prefer reading the Substacks I follow over articles like this one in the New Yorker
Kids did suffer injuries and deaths playing unsupervised before. Whether the risk is worth it or not is a fair question, but we can't just pretend there is no risk in letting your kids play without supervision.

This is the same argument that anti-vaccine people make... we survived as a species for thousands of years without vaccines, we don't need them now!

Yes, we survived as a species but a lot of individuals did not survive.

Every safety and health improvement we make can suffer the same argument (we survived for years with lead paint! Asbestos has been used in a ton of buildings and we are still here!)

Of course, not every safety improvement is worth it. Some risk is acceptable when the gains are high. I just think it is important to be realistic about the risks when we are talking about the benefits.
According to EU-UK, Netscape Communicator Is 'Modern'
What network you're connected to doesn't matter. What matters is what networks your device sees.
In this case Brexit is going to have a huge and damaging effect on the UK's IT industry.

Not only will some corps leave for Ireland taking their jobs with them, not only will small businesses and consultants find it far harder to sell services in the EU, not only will the UK be excluded from cutting edge research programs and funding, and not only will UK students be excluded from the international Erasmus scheme - but the current government literally has no idea why these losses even matter, never mind why it's important to mitigate them.

The absence of No Deal means the UK will tend towards slow decay rather than instant crash and burn, but the medium/long term prospects of almost everyone working in IT are now significantly diminished.
Hasn’t Waymo already won? They’re driverless now.
Throughout the 1800s there were tens of thousands of homeless kids just running around New York City making ends meet. The data is unreliable but it’s interesting to wonder how their lives turned out.
Julia is perfectly fine for non numerical programming, better in ways than python inheritance spaghetti.

See: https://github.com/GenieFramework/Genie.jl

Multiple dispatch + parametric types is a very general and powerful programming model.

It doesn't all apart at all, and anything python is a pycall away.
Ethical behaviour cannot be measured. Companies are still maximising shareholder value. They are doing it by gaming ESG metrics. Nothing has changed.
I think that's a very unfair assessment of my original comment and very dismissive.

Do not make the mistake of thinking everybody who criticises a company like apple is naive as to the complexities and difficulties around supply chains at scale. I certain don't.

Having literally worked for one of apple's suppliers who they bankrupted to bring the process in-house I have given this probably a lot more thought than you imagine.

They have been trying to vertically integrate all suppliers as much as humanly possible for reasons of control, margin and competitive advantage. This has been apple's approach for many years and they have been utterly ruthless in doing so.

If they had the will to start to take the steps to actually divest from a literally genocidal state, they could do it. They simply do not care.

The part I do agree with you on is that they also know their customers do not care, and consumer awareness and action is a key part of pushing back on this kind of thing.

But please do not absolve apple of guilt by waving your hands and saying the supply chain is too interdependent and complicated.

If they can take steps to fuck over suppliers for profit and control, they can take steps to avoid slave labour.
No. Isentropic compression is reversible; friction generates entropy and is not.