skysight-inc/HackerNews huggingface dataset:
It sounds like a huge cost saving to me. Being able to install a few dumb machines in the restaurant and then have remote installation and management of applications running on them would be great. I imagine that kubernetes would be more reliable than PXE booting images across the internet (as that often requires physically rebooting machines which requires involvement of the restaurant staff, will be error prone, etc), not to mention that building bootable images with your software on is not a very modern practice.

Bear in mind that in terms of cost, this is competing with a person driving to each restaurant and fiddling around with computers for an hour, which is a very expensive process.
My personal experience is that I never experienced claustrophobia in normal conditions (lifts, tunnels) but I did while scuba diving in the dark.
...you're in a small minority with that opinion.

Maybe in your community I would be? Where I live, it would be hard to find anyone who didn't feel adults should take responsibility for the consequences of their own actions. I really don't understand this compulsion to measure oneself against the herd, however. "Oh no some randoms I've never met might disagree with me!" Why would I care about that? Perhaps you're not so experienced with reasoned discussion, but "that's fringe" and "that's conspiracy" are not really arguments. By focusing on these propositions you've conceded the factual claims I've made, which by themselves really settle the question of whether helmets ought to be mandatory for cycling.

That assumption... is a conspiracy theory.

I haven't made such an assumption. I would still question the opposite assumption, however. Are you certain that no one values the primacy of the automobile in traffic?
It can be hard enough for a human to not get stuck somewhere in a cave. There's little chance you'll figure out how to get a robot to do the trip before the whole situation is resolved anyways.

In such situations it's best to go with the simplest solution you know will work and people are trained for, instead of trying to get fancy and possibly endanger the whole undertaking (imagine a robot getting stuck somewhere and blocking the way for everyone...).
Coffee is good for you, more science shows
> Every time Python adds an expression counterpart to an existing statement (lambdas, intensions, ternary...)

What do you mean by "intension"? I haven't seen this referred to in python and googling isn't turning out anything useful (also spelling it as "intention").
This is flexy: https://github.com/vladocar/flexy

Yes, just 1 button color if you need more colors just add .btcolor1 , .btcolor2 ...
I appreciate that your comment was tongue-in-cheek, but note that what you propose is actually a case of a standard targeted adversarial attack (changing a label prediction from "ped x-ing" to "stop"). This is fundamentally different from what's being proposed in the paper, which is to repurpose an existing NN (and its output labels) to perform another task altogether.

I'm still trying to figure how it could possibly be useful... the authors suggest it could be used to "steal resources", but it seems a bit contrived.
You can adjust the temperature from the scroll wheels on the steering wheel.
Good job Mr. Suzuki. You effort on C# 7 optimization shows, the result is clean and professional.

Regarding the speed of .NET implementation, it can be improved by leveraging LINQ expressions trees. In this way, one can achieve a good interpreter/JIT combo. The compiled code produced by LINQ expression trees is discardable. So you can temporarily cache it for frequent Lisp expressions (this gives JIT performance), and then discard rarely used parts of it (this gives a flexibility of an interpreter).

I'm myself in a Scheme camp of Lisp, but I love your implementation. This is the cleanest one I saw in years.
NStack | London | FULL TIME, INTERNS | ONSITE, REMOTE

NStack provides an interface for analysts to build data science workflows in the cloud from a library of reusable predictive models. Our product powers predictions for millions of users each month, and our customers range from e-commerce businesses to F250 companies.

We’re primarily based in Central London, but have a mixed remote and onsite team. We’re funded by top-tier infrastructure investors from the West Coast, and the founders are both technical and ex-YC / PhD. Salaries are competitive and include stock options.

We’re a tech heavy team with a flat structure and friendly atmosphere. We’re big believers in self-organising teams within an agile environment that put a heavy focus on creating user value first.

Our tech stack: Kotlin / Java 8, Python 3, numpy/scipy, Django, Typescript & React, Apache Big Data projects, Linux & Kubernetes

We’re hiring for the following roles:

- Frontend Developer (ONSITE) - We are looking for someone to lead the development of the front-end, developing on our existing workflow builder. We are open-minded in terms of technologies, but would be most comfortable architecting the product using React and TypeScript along with modern CSS UI libraries, so experience with these would be ideal. This will be a flexible role with a really unique scope for ownership and growth.

- Devops Engineer (ONSITE / REMOTE) - We’re developing the NStack PaaS to run on top of Kubernetes and many Google Cloud services, and are looking for a DevOps engineer with a focus on data engineering, CI/CD and deployment. The core NStack platform runs on the JVM using many tools from the Apache Big Data stack, along with large amounts of Python. We’re also heavy users of Linux containerisation, and NStack workflows are distributed on Kubernetes.

- Data Scientist (ONSITE) - We’re looking for an amazing Data Scientist to join our current data team to build reusable data-driven components and applications on the NStack platform. Ideally you’d have experience working as a data scientist in a team using Python (pandas, sklearn, numpy). Knowledge of the Big Data world (e.g. Hadoop, Spark, etc.), alongside an understanding of cloud and data infrastructure would be a bonus, as would experience with Bayesian statistical models and AutoML systems.

- Data Science Intern (ONSITE) - To join our growing Data Science team as described above

We’re looking at a range of positions and experience levels - whether you’ve just left uni or been hacking for 20 years, if you’re interested please get in touch. Any questions please comment, DM, reach out on email (jobs at nstack dot com) or at https://angel.co/nstack/jobs. Cheers!
They could just do the same thing with a standard client-server model. Just deploy a bare bones OS with a browser on it.

They'd need connectivity to the server, true, but doesn't Kubernetes also need connectivity to the cluster manager?
The Longest Day of the Future is another good example.

https://www.amazon.com/Longest-Day-Future-Lucas-Varela/dp/16...
What do you do? There are (were) wonderfully fast windows phones for for $20
What are some of the deep/philosophical reasons for why it is so easy to construct an adversarial example for a contemporary vanilla deep CNN network? Why do individual pixels get so much power about what the network decides to classify its output as?

During training, each input sample is basically driving each weight to be adjusted to classify itself correctly, while also classifying other inputs correctly. The way the network should thus see its world, is that it can only be one of those samples. That the world cannot be anything else. Thus, it should be the easiest way, computationally-wise, for the network to learn the things that differ the most between the classes. In an adversarial example, those couple of different pixels cannot possibly be what is even mathematically much more different for that class, compared to other classes.

How does this happen? It it is easy to understand why it would be easy to fool a network that looks for a leopard couch by an image of a real leopard, because leopard colors and texture is what the network actually was looking for during training. The patterns of the fooling picture were in the input. Given that such a network is only a gross simplification of a real brain, it is easy to see that it can be fooled. But just some pixels? The network was not looking for those pixels during training. It was not optimized to look for them. Why would it ever treat them as having that much information? Does it optimize for random things more highly than for the actual classification result that affects its weights. Does it have so many pixels that it asserts random importantness to them, so that out of millions, there is always 1 or 2 that happen to decide so much about the overall result?

Is it because the network looks for the combination of certain parameters, and treats the exactness of a combination as the most important factor, more important than its global context? So that the combination of the adversarially-modified pixels look like having the most exact ratios between each other, even though their ratios compared to the rest of the pixels is not on par at all - and the network decides that the most exact combination has the most information? Then, why isn't this easily combated by regularization and stuff like dropout?
They are very different things: Workspaces runs a full desktop environment (Windows or Linux) on an EC2 instance, and enables you to remotely access it through client software. The client software uses Teradici PCoIP, rather than VNC or RDP, and Teradici is amazing: it is so fast that the desktop feels like it is running on your local computer.

This means that you can run whatever development tools that you want on the EC2 instance, rather than the very limited code editor that Cloud9 provides. You can easily run a full copy of Visual Studio on a Workspace, and get the full resources of an EC2 instance with SSD drivess.
I downvoted it because it adds nothing. If you've read the article, you'd know that those classic arguments are addressed very early on. If you haven't read the article, you learn nothing about what's actually in the article or why it might interest you.
It turns out that regulations are made largely by old lawyers, who are more connected and charismatic than smart and practical, and haven't operated in the real-world for decades.
They may take our lives, but they'll never take our feet!
Fear of public speaking – online practice
Hello - public speaking is one of my biggest fears - I have been to a few toastmaster sessions but it's hard to find the time to go regularly.

So I was thinking, it would be cool to write a website where anyone can practice public speaking anytime via webcam. (I'm planning to build it rapidly so it will be ready by the weekend).

Video Chat technology has now reached the stage where it can work from inside your browser (so no software to install).
This is how it could work:

- Choose how large you want the "table" to be (4, 6, 10 people)
- Click on a seat (while you wait for the table to fill, you can say hello to the others)

- When your table is full, the event begins

- The first speaker is chosen randomly and moves to the center

- A random challenging question appears and the speaker has 30 seconds to answer while the others listen
- The next speaker is then chosen and another random question appears

That will be it for version 1 but version 2 could include constructive feedback from the audience and perhaps a winner could be voted for (so it becomes a kind competition as well).

I know this wouldn't be quite the same as speaking in real life but do you think that people would learn some skills from such a system? Interested to hear your thoughts.
Right before that happens, eat a good meal then meditate or take a nap.

You'd be surprised how much more you can squeeze out your day.
> The rubbish I see here is a man who doesn't understand the laws he's trying to push forward.

He fully understands what he wants, but he is a member of CDU, so he couldn't care less. This whole shit happened because German publishers got their beloved "Leistungsschutzrecht" kicked into the bin by the constitutional court. So, instead of accepting defeat they and their cronies started lobbying in the EU, so they can reintroduce it and say "Oh, we are so sorry, we didn't want to do this, but they FORCED US!" ... its an age old strategy.
As I’ve heard very similar anecdotes from friends and coworkers all around the world, I’m going to offer an alternative phrasing:

> Modern work culture, always trying to please the boss.
Hm, I only get A and A+ results.

But I'm on cabel, not DSL.
> Multiple sources say Facebook is paying between $23 million and $30 million to acquire Bloomsbury AI, in a deal that will see a mixture of cash and stock change hands. In one scenario, the startup’s investors will receive around $5.5 million, with Bloomsbury’s founding team in line for the remaining $17.5 million, paid in restricted Facebook stock. Either way, this represents a modest return for the bulk of investors, although EF — given that it invests pre-seed — is likely to have had a larger multiple.
It’s hard enough to get readers for measurement based scientific articles, I imagine.
Which Chinese cuisine? There are several distinct cuisines represented by the land mass we refer to as China
Digital Transformation with DevOps Testing – Webinar
Whenever I hit a creative drought, I go fishing out on Black Lake. Yeah, with the wind in your hair and the water flowing.
It's perfect for inspiration.

It isn't about fishing, we ain't been fishing for years now.
Old Neville over there, he's never been fishing.
It's about telling the tales.
You got to set the scene, spin the yarn.
That's what fishing's about.
I'm fairly sure this is fairly universal. Even in socialist countries, your boss has enough power over you to do you harm.
A business like that would completely suit me. Maybe it's because I'm of a similar age?
The biggest advantage of a co-founder IME is that you balance each other's waves. When one of you has a down week, the other can have an up week. If you're a solo founder and you have a down week, the whole company has a down week. This balance keeps progress consistent.
There is no floor-plan that compensates for strong leadership and effective management.
> Any website with a comments section (hey, this one included) would need to extensively monitor all posts

That's not true. The law only applies to "content sharing service providers" (sites like YouTube, SoundCloud, Instagram, Megaupload and so on).
Bias toward less experienced but highly technical staff seems to be an artifact of the portfolio management style of the investors and board members. Shotgun investments in a space mean shotgun incentives for managers, which yield shotgun solutions from engineering teams, to whack-a-mole product market fit problems - with randomized, exponential returns.

Profitable, revenue funded companies are more accommodating to the Olds because things like discernment are rewarded. Mature companies (5+ years) that act like startups are as Jerry Seinfeld once quipped, "dressing their best decade." You can usually tell within 15 minutes of entering an office whether it's a place of growth.

Young people are perfect for the former style because they can apply technical know-how without any broader criticism about likelihood of success, strategy, or sustainability. As an old, it can become more difficult to maintain the cognitive dissonance required to thrive in these environments when you have a mental horizon longer than 5 years.

I've worked with olds, and the successful ones recognize the story is no longer about them. They recognize that young people are also like a portfolio of long term investments, so they manage it prudently, and the best ones have learned how to get short.

If you are still doing startups as an employee in your 40s, you are there for the rush and because you love doing it. We should all admit that working for early stage companies is a lifestyle, not a plan. There is nothing wrong with experienced people. They aren't malformed and do not need correction. Some might need more awareness of what they are involved in, but adopting a "fixer upper," mentality is the beginning of death.
Not surprising, given the extreme salary differences between UK universities and top industry research labs.
I have not been following Dell very closely, but I have a hard time believing that a valuation would rise from $100B to $150B without also increasing debt. There's too much temptation there. Over the years, Dell has gamed the system numerous times. One particular incident that stands out is when Dell opened up a facility in NC and got a huge tax break from that state and then as soon as the tax break expired, Dell announced they were closing the factory or whatever it was that was there. Typical slimeball business tactics there.

When Dell went private, I figured it would be wound down quietly and dissolved, but that didn't happen. I'm quite surprised at this outcome and in finding out about this latest story.

My only qualms with it are that shareholders have been taken for a ride. First, they go private. Private equity is where it's at these days for delivering profit directly to large hedge funds and institutions, totally bypassing the public markets (and cutting out regular investors completely).

I realize VMWare has been successful, but then I read about VMWare stock buy backs, "the swindle of the 2010s" it's what everybody is doing, including the largest components of the S&P 500, Apple, Amazon, Netflix, and Google. Four stocks account for all the gains on the S&P and they're all doing buy backs to keep their prices afloat.

This all makes me think that stocks are simply a confidence game and that all of us little people are going to get taken down when the people running the game decide it's time to pull the rug out.

ETA: I just read through more of the comments relating to Dell laptops and realized what absolute trash they still are. Dell was once a quality name, no more.
There was an interesting event recently that happened to another live-streamer named Arab Andy. Arab Andy streams himself walking around with a speaker strapped on that plays text-to-speech and audio clips of whatever his viewers send him in their twitch donations. One viewer sent him a sound clip of a bomb countdown and detonation, and Arab Andy was subsequently arrested and last I heard was possibly facing prison time on a felony charge. Personally I don't think he should have to go to prison, but it's an interesting question what, if anything, should happen in cases like this.

Here's a video of the incident: https://www.youtube.com/watch?v=nVWX7r1WQLg
Full disclosure - I currently work for Exasol.. but I thought I'd just clarify that Exasol has been around for over 15 years and is far from 'beta' (currently on version 6 with hundreds of production installations worldwide). I've also been in the industry for > 40 years and worked with many database products (including Ingres and Postgres) - and all I can say is download the free community edition from the Exasol website or the Docker image as described above and try it for yourself - you will be up and running very quickly and I think you will be pleasantly surprised regarding both functionality and performance.
Google's marketing videos showed things like a full Google Map for directions (example: https://youtu.be/ErpNpR3XYUw?t=45s). I'm not surprised people got confused.
I am referring to the fact that all the States had unique cultures, transplants from their original countries, many idealist moved to the middle states and tried to create utopias in the New World. None of that worked, but there was unique culture, distinct in different parts of many states. Many of these people never move, so they are the original descendants from some religious idealism that fizzled.

I course I recognize these are not the original Iowa Natives. I am referring to the ideal of small towns and their community culture. Which was very real not that long ago.
That'd still be ignoring quality of life issues though. But then I suppose QOL increase/decrease from not drinking coke would be pretty easy to test by yourself.
How to Value a Security Token? Part I: Factors to Consider
Thanks for your reply.
I believe it must've been from their promo video.
I'm happy that the question came across correctly and the people who have responded so far took this into consideration and glossed over what you've pointed out (if it's indeed the case).
Absolutely. This was on full-wide display at Mark Zuckerberg's senate testimony back in April, when a large proportion of senators had no idea what they were talking about when it came to technical aspects of Cambridge Analytica issue -- no wonder given the median age in that hearing was 62. [0]

[0] https://www.vox.com/policy-and-politics/2018/4/10/17222062/m...
I find my creativity peaks after 1 A.M.if I’ve been able to get into a state of flow. I’m certainly not at my most productive, but for work which isn’t time critical it’s a useful tool.

Edit: grammar
It's amazing how I've never heard of this story before and how much I've heard about Gagarin's friend knowingly dying to save Gagarin's life...
Yes, my point, precisely. Thank you.
Ask HN: Do big companies listen to users feedback any more?
In theory, it’s a good thing to listen to the user’s feedback and based on that, deliver what makes sense, right? Well, when a big company makes a stupid UX decision, today it’s absolutely impossible to communicate to the company that they screwed up and should fix the issue. After all, they are paying top buck to the “profeccional UX specialist” to make their decisions, and who are you, the end user, to tell them they screwed up. Lets take one specific example. If you’ve got an iPad pro (lets assume you specifically purchased the biggest screen avalable to make sure you can get the full screen experience on the web), you will not always get what you thought you paid for. You wonder, who at Google makes the decion, that iPad should be treated as a mobile device, as such, it should always deliver a mobile version of the google search results? It would’ve been OK, if there was a way to change this default, but, guess what —- it’s not possible. Yes, giving the users too many options sometimes leaves the users confused, but taking away meaningful useful options makes the users misurable. If you try to use their automated support system, it will return totally irrelevant results. If you try to play by their rules, and, when asked the question “whas this answer helpful?”, you honesly answer “no”, that does not seem to help on the short nor the long run, so why to even bother? It seems that these automated help systems have only one purpose —- to keep the noisy users away from their top paid UX specialist, so that they don’t waste their expencive time on listening to the stupid users feed back.
Perhaps, someone at Google will read this post? Maybe?
Right, so since YouTube, SoundCloud and Instagram will all have the extensive legal and development teams needed to build these automated censorship systems, how will anyone ever be able to oppose them?

Do you want to try to build a startup today taking on YouTube knowing that the legal system is a complex mess and if you make any mistake, you'll be sued out of a company? Will any VC want to fund you in those conditions?

And what makes this website not a "content sharing service provider"? All the site does is share links to content. And since linking to content will now obligate paying the person you link to, hackernews will have to start finding a way to monetize just to pay for all of the linking it does.
Would you mind quoting the relevant bit? I'm on mobile at the moment.

My problem with including it at all is that, as he said in a preceding chapter, he is in a unique position to shoot down myths that technical founders believe about VCs and the converse, so the book presents a great opportunity to do the same about the myth of closed tickets as an engineering metric, particularly since it is largely well-written and will reach a much wider audience than his coaching may permit.