skysight-inc/HackerNews huggingface dataset:
>I thought you were talking about classification of these tweets so that politicians know what their followers are talking about. Sentiment analysis is a very small part of what we do and as you said there are tons of examples on web that use Twitter's data in their model.

I was, I was guessing that you had an general topic/clause segmentation model + sentiment analysis, sounds like you're saying the topic/clause (or issue) segmentation model is pretty domain specific, so what new datasets you'd need to for political issues build is beyond me, but I think it'd be well worth it. Connecting politicians and constituents is a pretty universal need.
To successfully develop self-driving cars, without spending NASA moon mission like time and money, we need to put a value on a human life. Maybe even different values for passenger, driver, pedestrian, other motorists, policemen, etc. Then the risk, time, and money to spend will be easily defined. If some task will take a software engineer (paid $150k/year) half year to develop but only increase safety enough to save 1 pedestrian per decade, and a pedestrian is valued at $50k, then maybe the dev can work on something else. Numbers are made up just to illustrate the point. But this is how Tesla, or any other self-driving car-maker can quickly bring self-driving tech to the public in a cost-effective manner, and within reasonable time-frames.
Doug Stanhope said it well here:

https://www.youtube.com/watch?v=YCP40OfIi20&t=25m13s
Of course it is. And the best ways to monetize videos beyond ad-tech is product placements, in-video sponsorships, and Patreon. Which demonetized YouTube creators still have access to, which gives them very little reason to switch to a different platform.

The best way for a platform to monetize videos is ad-tech. And nobody is better at ad-tech than google.
The scaling argument in the article doesn't make any sense. There are rhetorical queries like "does this model with 1000x as many parameters work 1000x as well?" but what it means to scale or perform are not clearly or consistently defined - let alone defined in a way that would make your point about the utility of the advances.

OpenAI's graph shows new architectures being used with more parameters because people are innovating on architecture and scale at the same time. Arguing that old methods "failed to scale" is like arguing that processor development was a failure because Intel had to develop a 486 instead of making a 386 work with more transistors (or more something).

And what does CFD have to do with anything, except maybe an odd attempt to argue from authority? Can you formalize from CFD a notion of "scaling well" well that anyone else agrees is useful for measuring AI research?
> It's special because we don't have a word for, e.g., "13 of something", say, "trezen".

Hmm, how about 14 of something?

You have a fortnight to respond. Though if you take about a sennight longer to think about it, you'll still get a good score.
This is the happiest article I have seen in a long time.

It makes me think of Hernando de Soto Polar and the ILD.

"Between 1988 and 1995, he and the Institute for Liberty and Democracy (ILD) were mainly responsible for some four hundred initiatives, laws, and regulations that led to significant changes in Peru's economic system.[4]

In particular, ILD designed the administrative reform of Peru's property system which has given titles to an estimated 1.2 million families and helped some 380,000 firms, which previously operated in the black market, to enter the formal economy.[5]"

See: https://en.wikipedia.org/wiki/Hernando_de_Soto_Polar
They're building EOS, they're probably going to be dumping Ethereum for the forseeable future. Pretty interesting strategy to be honest.

Imagine raising your capital with the stock of another public company, then your proceed to continuously devalue said public company by dumping your shares in order to gain liquid capital to build your product.

Edit: The most interesting thing to come out of the cryptocurrency is that the lines between equity and currency have become very blurred
This is an article from 2013
My personal bias matches your first point - I prefer candidates that are curious (to understand how things work), versatile (dabbled with more than one language), hungry (to build things) and accomplished (have built things they are proud of). I do not care about OCD. I don't think the next engineer should be better than the last engineer.

That said, I would hire one person that meets your bias, get them to do great things, and use that example to influence your peers. Once they start seeing results, they are more likely to use your bias. I would also opportunistically discuss the performance of people they have been hiring and trigger trigger thoughts.

However, I've found that hiring alone does not fix the core problem in engineering - which in my perspective boils down to building a culture of obsession. I've never seen a team full of rockstars. But I've been able to improve outcomes by constantly obsessing about some aspect of the product or code with engineers and getting them excited about it and take ownership and make things better. Get someone excited about UX, someone excited about code quality, someone about security, someone about unit tests, and constantly talk to them about it, and reward them for making it better. And over time you might see better results.
Honestly the whole system is in the "uncanny valley." It is just effective enough to leave people with a false sense of security but just buggy enough to continue to kill people.

Any system that randomly needs a massive correction in under six seconds between potentially several minutes of inaction is too dangerous to be used on public roads.

I didn't sign Tesla's little disclaimer, I shouldn't have to share roads with people beta testing dangerous software.
Your guidelines sound good, but why would excellent engineers want to work a company where most of management wouldn’t appreciate them?
Yeah, those are also important. This is a big topic :)
Something bugs me about this, and it's hard to put my finger on. I'd say it feels roughly like an "isolated demand for rigor."

So the election of Trump woke some people up to a negative application of their surveillance systems and data in the context of the government targeting Muslims. But they are so unable to see the bigger picture that people unironically sign this pledge with Google next to their name?
"Physicists are still debating on whether or not time actually exists in the universe."

I'm not aware of any physicists debating this. If time didn't exist, there wouldn't be a physical dimension for it, and everything would be at a fixed position in 3-dimensional space.
Right, there's a big difference between tabloids like The NY Post, "red tops" like The Sun, and supermarket tabloids like The National Enquirer.
Wait, doesn’t that just give you 25?
What do you think of advances like those in major DeepMind papers? They seem to represent significant shifts in capabilities once matured.

Here's a recent example:

Unsupervised Predictive Memory in a Goal-Directed Agent

https://news.ycombinator.com/item?id=17177442
Former Snap employee says company has a ‘toxic’ and ‘sexist’ culture
Why? It's depressing.
Asymmetric Hem Round Neck Striped Patchwork Blouse – RageCraze
Is there a way around the wsj paywall?
Here's a list of 12 chemicals approved for use in organic farming:

https://risk-monger.com/2016/04/13/the-risk-mongers-dirty-do...
Even more vicious behaviour if the employees add these math puzzles, unnecessarily to code and setup traps for those who interact with the component.
2)Why do you think DL doesn't scale? I am curious. It can easily leverage thousands of GPUs, training on 300 millions of images (https://ai.googleblog.com/2017/07/revisiting-unreasonable-ef...). No other methods is even close to leverage that amount of computational power. I don't really know about CFD, but at least in ML land and dealing with ML problems, DL is very scalable, maybe only next to random forests style algorithm, where they effectively share nothing.

3)It does matter. In fact most valuable startup around DL are CV based startups, they are mainly located in China though.
17 Amazing Health Benefits of Tiger Nuts
Like openresty/Nginx with Lua integration. JavaScript is way more popular than Lua, so this have wide possibilities..
I am sorry, what? Youtube makes money.
Your guess at numbers, even though made up, have a concerning low regard for human life.

Since they're required to, the us dept of transportation puts it at just over 6 million.

Priceless is of course the right answer, but engineering wise you're in the 5-10 million range.
Well...DBT then.
It was too long to start with
Televangelist says God told him he needs 4th private plane
Hey, will do! Sorry about that!
calling it video games and memes is extremely disingenuous. it replaces icons
If that were the case, they would have been advertising a /32 (which, hopefully, would have been dropped -- or, the least, not redistributed) instead of a /24.
That's fascinating, I had no idea HN did this to specific users. I'm still wondering what the site looks like for a moderator / admin compared to a regular user and what kind of pages they've got etc.
It'd be a tool in the toolkit, in my hypothetical. I mean, by the time autonomous cars were common enough on the road, we might all be tagged with an rfid chip as a normal identification or something... I don't disagree that it's an absurd idea, but it's just a devils advocate position I'm discussing here.
Yes, you are right. And I believe vgo is supposed to guarantee reproducible builds just like other package systems.

However, when you upgrade a dependency, it's still possible that you're using a particular combination of library versions that have never been tested before.

Some incompatibilities can be prevented by looking at version constraints. But you're not left with no error detection if the package system fails to detect an incompatibility; in the end, what matters is that the code compiles and the tests pass.
The freeing of the physical part is really the benefit for me. My knees are bad, and sitting in stop and go traffic, or even long traffic lights can actually be painful. Its not bad, but it gets really annoying. Being able to physically move my leg is amazing. You probably do get a lot of that with just adaptive cruise control these days as well, but no real experience with that. The mental load is still identical, but the physical part is way more relaxed.
I agree wholeheartedly with this and the original article. I sold diamonds in college and really dislike the blood that goes into each and every one of them.

Knowing a few of the arguments that fine jewelers might make, could you help me address?

1. You may pass the diamond to subsequent generation.

2. You may insure the stone at a high value, similar to artwork.

3. What other precious metals or otherwise might be considered to be used in a similar fashion? Gold/platinum is too heavy to adorn commonly as representative of wealth to our SOs.

4. Would removing the “value” of diamonds make them appropriately used for their hardness? Watch faces, etc.
Judge calls for rounded knives to stop stab deaths
Because people are deluged with information and need a good reason to invest the time looking past the beginning.
Well, the way I see it: mostly, these are “improvements”, huge ones, but still. They ride the current AI tech wave, take it an optimize apps with it.

For most things, that people dream of and do marketing about need another leap forward, which we haven’t seen yet (it’ll come for sure)
My sinister side is tingling...

How convenient for non-autopilot auto manufacturers... to have a competitor out there boasting semi-autopilot capabilities...

I wonder how many of these "autopilot crashes" could be machinations... if not already, then in the future perhaps?
You can definitely date a nontrivial piece of writing, at least approximately, by the language it employs.

I'd say humanity has gotten better in some ways, but also worse in others.
For those looking for a shiny gem that doesn't break the bank, check out Moissanite[1] jewelry.
It's significantly cheaper, with a higher refractive index (Brilliance) [2].

[1] https://en.wikipedia.org/wiki/Moissanite
[2] http://diamondssuck.com/
I am not, nor have I been a team lead, but will pitch in with a couple ideas.

It sounds to me like the other managers don't believe that the metrics you are using will result in higher productivity faster. This could be because they just don't understand or haven't fully internalized the benefits of passion etc., but I suspect it's more likely that they're feeling the pressure to higher someone, anyone.
Assuming you have enough autonomy on your team to make a hire based only on the merits you list above, have you been able to demonstrate to your higher-ups that your method is more effective? If the higher-ups understand what's better about your approach and that other teams aren't following it, they may be able to start changing the culture or putting pressure to change interviews.

I'd also recommend re-examining the "must be better than the last hired engineer" point. Different engineers excel in different areas and I suspect you'll run into problems like "well they're much better at algorithms than the last hire but they didn't ask the requirements questions I'd like", etc. To me it seems like a weak link that your peers may focus on to the detriment of your other goals.

Again, not a team lead, just suppositions and suggestions based on the engineer side. Mostly just sounds like a company culture issue, gotta make the superiors understand why haste makes waste.
Why Uber’s self-driving car killed a pedestrian
It’s even easier for DeBeers to crush that lab, or buy it up and shut it down.
People are inclined to pay ransoms, so you would have to make it illegal to pay ransom, which would make a disincentive to reporting kidnappings to the police as kidnappers want.
The project looks cool. Just want to understand how counter syncing works here, have you implemented CRDTs? Since, everything is in RAM, if service goes down, all counters' data will be lost. I believe, in case of API gateways some kind of durability is needed, if we need to rate limit based on consumer keys.
the skeptic in me thinks these man made diamonds they make are made so that it won't last forever. I bet in 5yrs these diamonds would somehow fade or even break so they can keep selling natural long lasting diamonds.
Or, the incredibly more likely and predicted option is that you shouldn't promote a self driving car that requires constant attention from the driver. Comments on every HN thread have literally warned about this for years.
Japanese Whalers Killed 122 Pregnant Whales and 114 Babies Last Summer
I am getting advertisements to buy a diamond ring in this article.
Platinum meets or exceeds all of those expectations. It’s even prettier, as it rarely reacts.
Hooks aren't part of the repo. The only way your copy of a repo will have hooks is if you put them there.
It's not an investment - at least not the pieces bought from De Beers.

Blue diamonds or rarity sold/bought at Sotheby's is.
Stuff sold at retail after feeding long chain of middlemen at De Beers is not.

Premium price is attached to the rarity occurring in nature + expensive post processing process, not to the intrinsic quality that is impossible to reproduce, because it is.
Got it. Yes, topic classification does not generalize across domains based on what we see in on our implementation.
What do you think of the theory that Erdogan is Dönmeh?
"I'd like to share a revelation that I've had during my time here. It came to me when I tried to classify your species and I realized that you're not actually mammals. Every mammal on this planet instinctively develops a natural equilibrium with the surrounding environment but you humans do not. You move to an area and you multiply and multiply until every natural resource is consumed and the only way you can survive is to spread to another area. There is another organism on this planet that follows the same pattern. Do you know what it is? A virus."
Time to make the Donuts.

It originated with donut TV commercials but I think after 20 years in the industry it applies well to waking up every day to serve my tech clients.
I agree, they should publicly distance themselves from the self-driving monicker until they at least reach level 4 coverage. At level 3, this should be at best described as 'driver assistance', or maybe a more descriptive but less palatable marketing term could be 'training wheels'---you still have to drive, but if you take your eyes off the road you might not die immediately like in a 'real' car.
There are situations where lock files, as implemented in some languages, can generate conflicts. Honestly I consider this a benefit, because I'd like to know about different expectations as early and explicitly as possible.

The bloat argument seems frankly absurd to me.
The kidnappers can remain irrational longer than you can stay solvent.
Future Versailles isn't a justification of having the Sun King in the first place, but retrospectively it's different - judging monarchy as bad now isn't a reason to tear it down now. Nor is the fact you or I can't own it. I've been to Versailles, and while it wouldn't harm me any more to destroy it than destroying the Buddhas of Bamiyan, it does seem to me somewhat better that it continue to exist.

I'm not sure what you mean by "accessible" art. Most things that are restricted to a select few become more accessible over time. Versailles is a good example of this, since you can take tours now. I'm not sure if it is an example of what you mean by "publicly funded", either.
> except the damn technology isn't ready/safe enough for what people are clearly using this from

Outrageously false. These incidents are so rare that they have whole news stories written about every single one. How many crashes were there in Laguna Beach yesterday?

Tesla accident rates in aggregate are quite good. Under autopilot the data is noisy but still underneath the level of an average car (not as low as luxury vehicles in the same price range, though).

Claiming that it "isn't ready" is innumerate nonsense. It could clearly be better, sure. So could you. And no one is demanding to revoke your license, because you aren't a scary AI.
We don't yet have any evidence that Teslas using Autopilot are any safer than human drivers. We do have plenty of evidence suggesting that humans are unable to pay proper attention when asked to do tasks like driving a level 3 automation of cars. There is plenty of reason to believe that this going to cause an increase in accidents, particularly of the fatal variety (say, running over a pedestrian at lethal speed).
«the damn technology isn't ready/safe enough»

What data are you basing this statement on? Or is this just your vague gut feeling based on reading about a few accidents in the news? I thought statistical data showed otherwise, that the technology was safe enough (ie. better than humans).

Edit: removed "debunked stats".
Maybe something like the Russian model makes more sense, if not legally. The most deterrent response is to hunt the kidnapers down and exterminate them, not pay them.
I disagree, even with the high error rate, it provides a lot of context. Also, a lot of comedy.
That's quite weird. When I run `rm Cargo.lock && cargo generate-lockfile` on the Servo repo (test performed on the cheapest VPS that money can buy) it exits near-instantly (after first spending three seconds trying to git-fetch new versions of the dozen custom dependencies that live on Github rather than crates.io). For reference, here's what Servo's dependency graph looked like two years ago (July 2016): https://dirkjan.ochtman.nl/files/servo-graph.svg ; the number of transitive dependencies is quite large and yet the runtime of version selection is negligible.
Oh cool. This is good news for a lot of us who have been waiting for such a jet.
I am working on my first novel.
Reducers are almost always the first thing I dig into whenever I open up a Redux project. Tells you what the state structure is, how it's being updated, what sorts of actions are being used, etc.

Only looked through the code for a few minutes, but a couple things I noticed:

- You've got an interesting wrapper around `connect()`, which includes something called `withLocalSelector()`. Can you clarify what that does, and what the other use cases are for wrapping up `connect()` ? I think I also see some other assorted selector functions being used as well.

- The couple reducer files I looked at are pretty large (several hundred LOC), and appear to be working with state that's nested 3-5 levels deep. A good portion of that appears to be normalized, per our recommendations. Have you run into any particular issues managing state that's nested that way? Have you considered any approaches for simplifying some of that logic, such as "reducer composition" (delegating the work of updating more nested state to their own reducer functions), or using an immutable update library such as Immer?

Also, the blog post talks a lot about the dataset sizes that you're dealing with. Any particular performance issues you've run into, and if so, how have you dealt with those?

Finally, any particular pain points you've experienced? Any things we can do to improve the docs (like better teaching certain patterns), or issues you'd like to see officially recommended solutions for?

If you'd like to chat about this in more detail, feel free to ping me @acemarke over in the Reactiflux chat channels on Discord.
Reddit’s Alexis Ohanian thinks you need to do an inventory of your close friends
That.... was just Facebook's idea. I don't know any other company apart from those founded by former Facebook employees that took the monicker seriously.

A more mainstream paradigm was 'disrupt!' as in disrupt old industries, by applying the rules in ways that they couldn't aided by technology that they are disinclined to use. For instance Uber used 'disrupt!' as the centerpiece of their business, by acting as contracting service for limo companies, before finally expanding the definition of 'limo' to include any Toyota made after 2015.
I'll buy that debt for $0.02
I don't see how systematically accurate image classifiers and facial recognition systems built on deep learning is a 'dead end'. Products are products. If deep learning has led to actual profits in actual companies, it's not a dead end. As to whether this leads to AGI is a completely different question.
> We might not win, but if we do, you're boned!

Isn't it worse than that -- more like 'we might not win, but you're probably boned either way'? I may be wrong but I have the impression that it's relatively rare to be awarded full costs, and anyway you'll have to pay your lawyers up front.
All that's highlighted for YC founders are the nicknames of other founders. So we can see which posts and comments are from other YC founders, but there's no special annotation just for posts at YC-funded domains (in this case, there's nothing highlighted).
How many Tesla's are there? How many crash without autopilot, and how many crash with autopilot? How does this compare with other low-ownership rate cars in the same class?

Seems to me that it's premature to me making bold claims like this. Of cars costing over $100k, what's the accident rate?
That was probably the Apollo Diamond guy: https://www.wired.com/2003/09/diamond/

CVD is probably the better technology for producing bulk diamond, since it doesn't require the extreme temperatures and pressures of the HPHT process; and there's existing CVD processes and equipment from the semiconductor industry which provide a good body of knowledge to work with. CVD grows plates of diamond, whereas HPHT makes small cubes.
The biggest lies that the martech and adtech worlds tell themselves