skysight-inc/HackerNews huggingface dataset:
Sadly I tend to agree that it's not fixable, certainly not in the timescales we seem to have. I suspect a simplistic metric could be achieved to replace GDP that would have to assign value to leaving things alone. The ore or oil in the ground, and the tree uncut. If nothing else to remove absurdities where polluting then cleaning up and grassing over is "good" for the economy (because money was spent, which is GDP positive) is better than leaving some pristine acres of mature forest (because money is not spent).

I doubt that would be a popular metric with some though as that would imply far more value to not exploiting than doing so.

That's before you get to the more vague aspects of quality of life that can't be given spreadsheet space like community, family, friendship, health etc.

> We live in ecologies, not economies.

Too true.

I'm not optimistic for how the next 100 years plays out.
JavaScript is not hard to reason about.
I ask for proof that AGI is possible. Show me a computer as smart as a lab mouse and then I'll take your concerns seriously.

The analogy to anthropomorphic global climate change is a non sequitur. Climatologists have created falsifiable theories which make testable predictions.

And you really have no clue about my personal religious beliefs. Calm down and take a seat.
Starcity Year in Review 2018
5 Free Ways to Boost Your Android and iOS App Downloads
> the choice between "run an entire data centre ourselves, store everything there"

If those were the only two choices, you might be right. But the resources needed for the actual CMS functionality sound modest enough to run independently of the main website.

> the client computer that connects to the CMS is just as, or more likely to be compromised

That's faulty reasoning.
Here's a pile of feces with some gold in it. Why would you ever clean off the feces? ;)
Losing access to Facebook can be pretty brutal. Specifically messenger. I actually had my Facebook temporarily suspended for 72h and I felt it.

It made it harder to contact with family ( we use group chat on messenger). I was still able to see things on Facebook so it wasn't even as bad as a full out ban. So many social events and communications are made through the platform. It's tough, even if you don't like the way the company acts, if all your friends and family use it to communicate you pay quite a price to protest it.
If I'm understanding what Facebook did correctly, the Google equivalent would be that whenever you "Sign in with Google" to any website or app, that website/app gets full and permanent read/write access to your Gmail. Are you alleging that this is the case?
IAG Cargo launches new direct route from UK to Islamabad
Interestingly, Hinton is on record as essentially saying that there's a good possibility that what's currently being done is wrong - and that we need to rethink our approach.

Mainly in the idea/concept of back-propagation. It's something that I've thought about myself. For the longest time, I could never understand how it worked, then I went thru Ng's "ML Class" (in 2011, which was based around Octave), and one part was developing a neural network with backprop - and the calcs being done using linear algebra. It suddenly "clicked" for me; I finally understood (maybe not to the detailed level I'd like - but to the general idea) how it all worked.

And while I was excited (and still am) by that revelation, at the same time I thought "this seems really overly complex" and "there's no way this kind of thing is happening in a real brain".

Indeed, as far as we've been able to find (although research continues, and there's been hints and model which may challenge things) - brains (well, neurons) don't do backprop; as far as we know, there's no biological mechanism to allow for backprop to occur.

So how do biological brains learn? Furthermore, how are they able to learn from only a very few examples in most cases (vs the thousands to millions examples needed by deep learning neural networks)?

We've come up with a very well engineering solution to the problem, that works - but it seems overly complex. We've essentially have made an airplane that is part ornithopter, part fixed-wing, part balloon, and part helicopter. Sure it flies - but it's rather overly complex, right?

Humanity cracked the nut when it came to heavier-than-air flight when it finally shed the idea that the wings had to flap. While it was known this was the way forward long before the Wright's or even Langley (and likely even before Lilienthal), a lot of wasted time and effort went into flying machines with flapping wings, because it was thought that "that's the way birds do it, right"?

So - in addition to the idea that backprop may not be all it's cracked up to be - what if we also need to figure out the "fixed wing" solution to artificial intelligence? Instead of trying to emulate and imitate nature so closely, perhaps there's a shortcut that currently we're missing?

I do recall a recent paper that was mentioned here on HN that I don't completely understand - that may be a way forward (the paper was called "Neural Ordinary Differential Equations"). Even so, it too seems way too complex to be a biologically plausible model of what a brain does...
I keep saying that. DOGE has many advantages that are hard to find in other coins at the moment.
If you want AGI you need to give it a world to live in. The ecological component of perception is missing. Without full senses, a machine doesn't have a world to think generally about. It just has the narrow subdomain of inputs that it is able to process.

You could bet that AGI won't manifest until AI and robotics are properly fused. Cognition does not happen in a void. This image of a purely rational mind floating in an abyss is an outdated paradigm to which many in the AI community still cling. Instead, the body and environment become incorporated into the computation.
Considerations for the Beginner Serverless Developer
I was expecting to get downvoted for this, but it’s still true. In countries where women can get free childcare and free healthcare, they have more power. American men deeply fear this. In the end, like everything else, it’s all about power- who has it, who doesn’t. Big healthcare also makes a killing on the situation, but here in the states conservatives have always been willing to make the devils bargain of allying themselves with the ruling class in order to preserve white supremacy and male supremacy. It’s true no matter how many downvotes I get.
I tend to side with your opinion (obviously, based on the above code), but detaro does have a point, which is that the progress message will "overflow" onto a new/next line in the console if the message has more characters than will fit on a single of the terminal.

fwiw, line_len=79 is the default on both windows and linux ime. You would only encounter overflow if you (1) shrunk the terminal from its default width and (2) printed a message that was longer than that shrunken width.

If you really needed to have a progress bar that accounted for a shrunken display, it could be accomplished trivially with Python 3.? and less-trivially with Py2.

I could see depending on this library if the application was client facing and needed to be automagically pretty.

Also, one thing to note is that tqdm only fetches the console width when init'ing a progress bar... if you shrink the terminal while a progress bar is still "in progress," you will encounter the same overflow issue.
I'm not an engineer, and the article doesn't state it, but there are probably benefits to the technology. For one thing I imagine the heat-content and thus energy storage density must be rather high, while the storage material is probably quite cheap. Water would have (a lot) lesser density, and most electrical batteries are way more expensive.

Additionally the molten salt may be good at insulating itself or at least easy to insulate against heat losses cheaply.

And maybe it can be fueled by energy forms other than electricity.
I never understood the incentive of OEMs going with some proprietary crap instead of using coreboot or something like that.
Landline Phones Market 2025 Emerging Trends, Top Manufacturers, on Demand
Hardware meaning the headsets which were mentioned in GP post?
We've seen these kind of lung problems crop up with many mining companies in Southeast Asia and Africa as well. Currently working on chest X-ray + AI solutions to provide fast, affordable screening since the biggest factors seems to be cost and slow turnaround time for radiologists. Feel free to test out our AI algorithms below:

https://app.semantic.md/classify/cxr
Calculus probably isn't the best example, because you really don't need it. Real engineers need it, but if software engineers got a different sequence in discrete math I think they'd be better prepared for the job market. I ended up doing a math concentration so I got both Calc 1-3 and some nice discrete courses like number theory, combinatorics, and abstract algebra that were super useful, and in my opinion we could definitely stand to replace memorizing integration techniques with studying some of those topics.
Thanks! I was wondering if the devil is in the details--if the datasets are so large (petabytes+?) that there are millions of these "differences", most of which are false positives from factors like atmospheric noise or equipment issues, and what the computing challenges were sifting through it all...Or perhaps as you hint it is relatively straightforward after all.
I'm pretty naive about this stuff, but wouldn't an easy solution for storing energy to be, just use energy to lift something very heavy into the air, and then extract energy when it's lowered?
Not just Germany and California. The central plains regions of Kansas/Oklahoma and parts of Texas are really high wind producers. We have negative prices from time to time and not just because of congestion. The marginal cost of energy is simply sometimes negative. This has an impact on all nodal prices in the market.
Uh, no?

If said installer downloaded and compiled the code (nvidia-drivers style), you'd not have an issue. Only once the code is combined does it "violate" the license. You can't distribute something in violation of GPL2, but you can keep it for yourself. As long as the installer doesn't distribute offending binaries, you're fine.
FWIW, my partner too had similar experiences and now switched to rayzz.net I agree, backup or self-hosted backup is always necessary.
You should take it with a grain of salt, tho.
The shim, as I understand it, for linux is there to both handle some licensing differences and to also translate between Linux's io subsystem which isn't going to be turned into Solaris' nor will ZFS's be turned into Linux's IO subsystem directly. They're basically compatible but have different ways of doing things so it results in needing a shim to handle things.
It's billed on Streisand's Github page [1] as working there. I'll be giving it a spin in February as an alternative to Shadowsocks and Anyconnect. Just need Wireguard on Windows now!

[1]: https://github.com/StreisandEffect/streisand
Microsoft Surface Go Launches in India
> It's not that learning SQL is hard. It's that people are inherently lazy. "Learn another thing on top of the thing it already took me a couple of years to learn? No thanks."

And that's a big fat mistake. There are so many ways to shoot yourself in the foot with mongo such that simply knowing the language mongo uses for most of its queries while not actually knowing the particulars of how mongo uses that language… well that's just a road to a world of hurt.

For example, when I first inherited a mongo deployment I noticed the queries were painfully slow. Ah hah says me, let's index some shit. Guess what? Creating an index on a running system with that version of mongo = segfault.

After a bunch of hair pulling I got mongo up and running and got the data indexed. But the map reduce job was STILL running so slowly that we couldn't ingest data from a few tens of sensors in real time. So I made sure to set up queues locally on the sensors to buy myself some time.

Even in my little test environment with nothing else hitting the mongo server, mongod was still completely unable to run its map reduce nonsense in a performant manner. Mongo wisdom was: shard it! wait for our magical aggregation framework! Here's the thing: working at a dinky startup we can't afford to throw hardware at it especially that early in the game. Sharding the damn thing would also bring in mongo's inflexible and somewhat magical and unreliable sharding doohickey.

So I thought back to previous experience with time series data. BTDT with MySQL, you're just trading one awful lock (javascript vm) for another (auto increment). So I set up a test rig with postgres. Bam. I was able to ingest the data around 18x faster.

And that's the thing. Mongo appeals to people who are comfortable with javascript and resistant to learning domain specific knowledge. All that appealing javascript goodness comes with a gigantic cost. If you're blindly following the path of least resistance you're in for a bad time.

P.S. plv8 is a thing, and you can script postgres in javascript if you really wanted to.
That is one of the ideas being explored:

https://qz.com/1355672/stacking-concrete-blocks-is-a-surpris...
I really don't understand why they couldn't just use traditional blur techniques. They say:

> These fast but inaccurate methods of creating “game blur” ran counter to Half Dome’s mission, which is to faithfully reproduce the way light falls on the human retina.

... but traditional Z-based blur is no less faithful than their overall "whole screen at single shifting plane of focus depending on gaze" approach. All of computer graphics is "more to do with cinematography than realism" anyway, realism is nice but if you have to choose between "looks realistic" and "looks good" you go for "looks good" every time.

Also, as others have mentioned, getting sufficient resolution for really high quality VR basically requires foveated rendering, at which point the bits that you're blurring are, by definition, not what you're looking at (since you're rendering at lower resolution outside of the fovea) and a blur algorithm that needs four GPUs to run in realtime is a complete waste of resources.

Edit: Watched the video. Their 'Circle of Confusion' map is literally just 'focus_Z - pixel_Z'. I really don't see what deep learning adds here.
Blockchain market will cross $28B estimates in 2025
> I think what happens (and I have this attitude too) is that "learning" SQL takes a weekend...but then you know you'll wind up having to spend a lot longer learning the patterns of the language, and the nuances of the specific dialect, and which of the integration tools will work well with your workflow and pipeline.

You have to do the exact same things with Mongo+JS (e.g. learning when to avoid the JS bits like the plague).
If not the US, other nations should take stringent measures to reign in the out of control Facebook horse. They have broken most ethical and moral boundaries of trust. They not only treated users like a product, but exploited them. I hope they find their day in the court of law.
It's not $14. It's $14m.
A rat can do something else that a neural net can't - it is a self replicator. Our neural nets don't have self replication or a huge, complex environment and timescale to evolve in. Self replication creates an internal goal for agents: survival. This drives learning. Instead, we just train agents with human-made rewards signals. Even a simple environment, like the Go board, when used for training many generations of agents in self-play, easily leads to super-human intelligence. We don't have the equivalent simulator for the real world environment or care to let loose billions of self replicating AI agents in the real world.
Totally unsubstantiated, but my opinion on why we use commas instead of the built in record/field seperator characters is simple: the special ASCII characters don't have a cononical printed representation and they don't have keys on a keyboard to make them easy to type. Therefore they're neither human readable nor human writable, and the human interface is really what matters with a plain text serialization format.

Edit: spelling
Alt title: The elites who control Canada are decreasing already low salaries and increasing parasitic housing costs even higher by important more Indians.

There is a reason Toronto is considered a joke and talent usually leaves to the US.
Exactly. As I read the original article, which mentions "encryption-at-rest", there was a voice in my head crying: "No, what they need is E2EE". That would enable the authors to write confidential drafts of the articles, no matter where the data is stored (and AWS would be perfectly fine of course).

Disclaimer: The voice is my head does not come out of nowhere. I am building a product which addresses this: https://github.com/wallix/datapeps-sdk-js is a API/SDK solution for E2EE. Sample app integration is available at: https://github.com/wallix/notes (you can switch between master and datapeps branches to see the changes of the E2EE integration)
Reading and understanding are distinct from believing, without verification. We know a great deal about the press and its tenancies towards sensationalism. Market incentives certainly encourage sensationalism, for both publishers and individual journalists. It could also be that the article is not sensational at all, and Amazon has a ridiculous policy here.

Until you have concrete evidence to tilt your belief one way or another, the proper disposition is skepticism towards either position.
Oh yes. Yes they do. Anything related to Gawker (which Deadspin is: see https://en.m.wikipedia.org/wiki/Deadspin) has long been persona non grata around here.
Yeah, I'm doing something that's basically AGI.

The motivation is largely as many futurists hold, i.e.:

> I want to cure all diseases, aging, etc.; but, that's too much research for humans to do quickly enough! We better make artificially intelligent thinkers to do it.

I don't think that the term "artificial general intelligence (AGI)" is optimal; lately, I've been calling it an "intentional system". The conceptual distinction is the focus on the dynamics of intent, whereas intelligence is a slightly-off focus as intelligence is how intention is effected rather than precisely intention itself.
Talent or cheap labour.
Third of rare Scotch whiskies tested found to be fake
In our era of deplatforming a publisher publishing on something like Medium seems antithetical, even for a dev team that just wants to get words out. Should you spend some cycles on the dev blog? Probably, but you should also split test the donation copy and get the data warehouse moved forward for 2019 initiatives and fix 1200 other issues. Thanks for sharing a great post. I shared it with my team and we all learned a lot.
This company is the successor to Terragenic, which has been around since 2013.[1] Same people. Same claims. Still no demo. Now, with better graphics on the web site.

What they're probably hyping is water-stabilized hydrogen peroxide. Habo, a hydrogen peroxide manufacturer in Shanghai, showed a hydrogen peroxide fueled car in 2004.[2] There's been work on hydrogen peroxide fuel cells.[3][4] So it's sort of possible to do something like this. But the cost and range claims are based on nothing.

[1] https://www.smh.com.au/business/fuel-saving-cars-showcased-i...

[2] https://www.bloomberg.com/research//stocks/private/snapshot....

[3] https://www.sciencedirect.com/science/article/abs/pii/S03787...

[4] https://pubs.rsc.org/en/content/articlelanding/2018/cc/c8cc0...
How can you even distinguish one grain from another once the molten situation kicks in?
also the indian men are widely regarded as unattractive and tend to repel women away from the field.
And what about other users who aren't breaking the law? Like me, who has been living in the US since 2011?

These bans with no appeal processes are absolutely stupid. See my submissions for more context, but its helluva lot more people than a single incident. They seem to be banning anyone who sounds Iranian.
Like in Europe?
> We live in ecologies, not economies.

That depends on what "we" means. If "we" means human meat machines, that's arguably true. On an evolutionary timescale, the global ecosystem is incredibly resilient. We could likely take out most multicellular species, and within a billion years or so, they'd get replaced.

The problem, of course, is what we'll have for dinner, in the interim. And maybe we could work around it all. The "free market" to the rescue! But damn, that'd be a different world, for sure.

And if we went full virtual, we could let the global ecosystem recover. Or just use the mass for something else.
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When I was running a coworking space in Berlin back in the day WeWork were just getting started. I went to NYC on a holiday and decided to contact all the coworking spaces for networking purposes. Miguel McKelvey one of 2 cofounders of WeWork was the only person to get back to me. I found him exceptionally humble and approachable. Not sure where you got your impressions on the founders from?
What?

Facebook has so far admitted to everything, or in other words, the gross mishandling of privacy of a billion people for a decade and an unwillingness to improve.

Is your point that we shouldn’t worry about Facebook being an evil company because there are worse things out there?

Why can’t we worry about multiple things at once?

Even if we go down the road of whataboutism, don’t you think Facebook has earned its place in the spotlight? Facebook has shown itself to be an existential threat to liberal democracy and truth in recent years, it’s hard to imagine a bigger threat than that. I mean, if it wasn’t for a gazillion fake accounts gaming interest groups on Facebook, a lot less people would think things like climate change was fake. Which means that at its very worst, Facebook is being used to kill the planet.

Don’t get me wrong, I still think Facebook can be really good, at its best, and that’s exactly why I think the focus on their missteps is welcome. We need to tell them where the line is, so we can get more good and less bad.
Let's get some plasmaware to market!
Yes, but don't underestimate battery development. Semisolid and solid state batteries may become practical options for EVs.

24M, for example, claim a semisolid battery design that's 40% cheaper to produce with better energy density, better safety, and a longer duty cycle than conventional batteries:

http://24-m.com/

https://insideevs.com/24m-raises-22-million-semi-solid-state...

We'll have to see how they go, but if it does work as claimed then it'll be a significant step forward for EVs.
Curious that nobody mentioned https://standardnotes.org/

* already open-source

* client side encryption

* multi platform / multi device

* offline access, local backups
https://www.capitalinfosol.com/blog/Salesforce-Administrator...
you only have to make DNA once per task, that's correct. You don't need to build a new hard drive or a GPU each time you want to do, say, a gigaflop's worth of an ML experiment. It is reusable across tasks.

Also really fun would be writing your unit tests to make sure the DNA algorithm you've programmed was acutally correct.
heard of black?
Perpertual copyright is unconstitutional in the US and continental Europe due to multiple grounds.
> by handing over data.

Except that they did not hand over the data. They just closed the account.

Plus, there is no mention of complying with US sanctions in ToS.

Overall, they could easily send a notice to take action (export data) before closing the accounts. It was their fault to allow companies build their trust in slack and it was their mistake not to follow the rules in the first place.