skysight-inc/HackerNews huggingface dataset:
This is the problem with crowd sourced reviews. Everyone rates things on a different scale. Even grouped scores like Metacritic aren't great for specific people. Rotten Tomatoes suffers the same problems. While it works in general, you are better served by finding reviewers who have liked what you've liked, and following them and listening to their reviews. Everyone likes different things, and it's worth while to be discerning with who you listen to. I've seen 4-5 star restaurants on Yelp in San Francisco that don't deserve 4-5 stars. I've seen the same with highly-rated hotels, too (Sorry, but if you are charged for Wifi or $3.50 for an apple, it's not a good hotel).

Find people you trust. Follow their reviews. Use socially gathered reviews as indicators when all else fails, and understand that half of them are probably worthless.
> A myth about manufacturing jobs is that they all went overseas.

Partially true, many of them went to Mexico. Import of partially completed goods, as well as automation of assembly, continue to drive overall manufacturing output in the USA. But many jobs have been exported. A recent high-profile example:
http://www.nydailynews.com/news/national/carrier-plant-movin...
and a study discussing overall impact to jobs:
https://www.epi.org/publication/heading_south_u-s-mexico_tra...
> (Cisco must pay its visa-holding employees a higher salary)

Why? They weren't hired because they were more qualified than local candidates. The workers should be sent home. Cisco should be sued for defrauding the government. They should pay a fine that compensates all of the foreign workers and be suspended from using work visas for 5-10 years. An example needs to be made.
You should be more specific on how or what were you doing?

Probably answering any of those questions more people would be interested in this because they could learn something from your experience.
> actually AI and not a bunch of very smart though not intelligent algorithms

That is a relatively old philosophy question that won't be resolved any time soon.
One emulator earning 20k (!) a month is an outlier - it's also not open source.

There's still the marketing issue. If I was to work on open source full time I'd need to get about $2kAUD a month. That kind of income doesn't just happen - you've got to have an extremely popular project first.

Also remember that Patreon's gotta start making money for the VCs soon so there will be user hostile changes eventually.

Bring on universal basic income.
http://i.imgur.com/zJbob5Rl.jpg
1. it's a VC - what do you expect? do you think these people are really interested in lifting up the impoverished and downtrodden? what i'm saying is no duh they're going to marginalize black people - that you are surprised says more about you than them (maybe re-examine your idolatry of tech...?).

2. who do you believe would be appropriate /cultural/ black leaders? music, tv, and sports define culture today. what i think you underestimate is the extent to which these people have influenced mainstream culture (nas, quincy jones, shonda rhimes).
> I think that they move on to another service industry job such as customer service or something

Right, they can compete with all the other displaced workers for the #1 position most likely to be outsourced.

Hell, many Targets don't even have a customer service desk anymore. They demolish them and assign the workload of both sales and returns to a random cashier.

A lot of people are not qualified for skilled work and will never transcend entry-level fast-food jobs. If you take away those tasks that keep them productively occupied, it might be a good time to start buying stock in industries related to prison management.
Where I work, the basic doctrine is that Engineering can schedule "chores" -- refactoring, tech debt paydown etc -- according to its best judgement. We don't interrupt Product's priorities willy-nilly but depending on the cadence you'll find a certain amount of tidying working going on all the time.

There's also a fairly high bar for what gets marked as "Done", so the rework is a bit lower. I've been on stories where we spent as much time dealing with the architectural consequences of a new feature as we did on the visible bits.

Sometimes it can be hard. Especially in the anchorship role. I've once had to tie up an entire track of work to fix the tech debt equivalent of a toxic spill for weeks and weeks. It sucked, there was zero user-visible value gained, but it simply had to be done or we would suffer more and more.

I dunno if that's considered agile or not. At some level it doesn't bother me.
Letting junior devs review your code
Volume pricing maybe? 2,000 stores, so around 3,000 units.
Scientists have to have the truth of their malpractice rubbed hard against their face before they admit that they have a problem. Since Aristotle science has be wrought with what essentially amounts to bullshit and it only ever changes once so many people call bullshit so frequently that a new standard develops.

Not pre-publishing a research thesis / methodology is bullshit.

Not publishing data is bullshit.

Not publishing exact code (and runtime, etc) is bullshit.

Not publishing when research is complete is bullshit[0].

Not publishing is bullshit. I don't care who your funder is, it should be illegal for funders to selectively publish research. It's obviously one sided propaganda. The only time not publishing makes sense is when there are national security or global security ramifications to the research or if funding needs to be lined up for patents.

[0] I've seen a PhD candidate delayed 4 years from publishing because her supervisor was trying to coordinate a team to publish with research along the same vein all at once to make it a groundbreaking set of discoveries. It's basically p-hacking by some other name.
In general, the differences among a top echelon of human expertise are vastly smaller than those between humans and other kinds of agents, animals or AIs. We all share similar cognitive architecture for handling complex domains after all.

Once OpenAI Five defeat 3-4 pro teams convincingly, it could be presumed from the observation above that they will defeat any other top teams within a year at most, if sufficient resources are used for improving the AI. An exception is when a fundamental hidden weakness is found in the AI.

Another confounding factor is major rule changes where the game essentially becomes a different one.
This might be kind of ironic (you'll see what I mean) but to get to full wsj.com articles just put the word "full" before wsj, keeping the rest of the URL the same.

For this article that means go to

https://www.fullwsj.com/articles/facebook-to-remove-data-sec...

(I just copied and pasted our post link then added "full" before wsj.com)
Committing securities violations on Twitter is a job that Americans just won’t do. Tweets are rotting on the internets!

Seriously though, Elon Musk has undoubtedly benefitted from immigrating to the United States, as most immigrants do. Presumably the native born employees of Tesla and his other ventures have directly benefitted as well. Of course it’s impossible to show one way or the other that a native born entrepreneur wouldn’t have filled the same niche.

Also nobody likes to talk about the massive deleterious effects on the immigrants home countries of having their best and brightest leave.

To answer your direct question I absolutely agree that Americans can benefit from some level of immigration. I don’t believe Americans benefit from a level of migration that makes them a political minority in their own homeland though. Although I admit to anticipating schadenfreude when the foreign majority votes themselves the baby boomer’s assets around 2040.
Microsoft was crucified for having internet explorer as default browser (not banning other browsers).

Apple with 45% market share in the US smartphone market faces no issues with banning app store competition (even html5 based stores)

Sounds fair
Jeff Sessions and or Ryan Zinke are not Burning Man type guys.
I agree that there are substitutes for everything except the IOS distribution one. I also agree that most of these metrics are not true monopolies. However, I'm using the term "monopoly" in the way the EU sees it when enacting antitrust fines to curtail this type of behavior because what they basically use is >50% in some arbitrarily chosen metric (percent of of smartphones running an OS used for the EUs recent 5 billion dollar android fine on google) as that is what the EU is currently using to fine companies into "behaving" despite IOS being a much more abusive platform IMO.

This is why I think we need a new way of identifying market abuse.
Stop pairing.
Schemaless databases are good for scenarios where the database isn't a source of truth. If you have a table full of e.g. per-second heartbeats from a bunch of deployed services, there's no fundamental underlying truth anyone's trying to gather from it, and you can't afford to run a full schema migration every time someone adds a new metric.

I recognize some people do try to use schemaless databases in the way you're describing, and I agree that's weird and dangerous.
I didn't criticize the format. I was criticizing the fact you're taking a side on the issue, when clearly the issue is more complicated and we need to address both sides if the city is going to come to a solution that is viable. I don't see how anecdotes are off the table for a discussion forum. Maybe if we were using this discussion to draft legislation, sure, let's do some controlled studies. But we are not drafting legislation here. We're talking about peoples opinions: the anti-cyclist sentiment in the city of Toronto. This sentiment is entirely based on the collective personal anecdotes of people who drive in Toronto. I shared a small subset of those anecdotes.

Cyclists are hardly marginalized in Toronto. To be marginalized is to be treated as insignificant. I'm pretty sure no one in Toronto, both drivers and non-drivers, could agree with that statement given the amount of attention cyclists have got over the years in Toronto press and city council.

I also made a point of not generalizing the entire population on the actions of a few. I specifically said, "not all cyclists in Toronto are like this".

There is no tactic being deployed here. I'm on the side of making things safer for everyone, including cyclists, and I feel that means lowering speed limits for drivers and coming down on unsafe cyclists. You want to turn this in to a victim-oppressor type situation when it is clearly not. And this is the problem I have with this whole conversation about cyclists in Toronto.
Wow, so all this was happening circa 2006?
This does not follow. Even in a system where 3 stars means excellent, 4 stars means once in a lifetime, and 5 stars means Platonic Ideal, I'm still going to look for restaurants (or drivers or network routers or whatever the thing is) that are as close to 5* as possible. Do I subdivide between 4.45 and 4.47 stars? No. But in general I'm going to sort my results by some measure of quality. I'm also optimizing over other variables, but to the extent quality is one of those variables, there's no reason to settle for OK when Excellent is available.

I'm definitely not going to voluntarily get worse food so I can protest the idea of ratings.

And as long as that's the case, there will always be pressure for people and services that aren't "Excellent" to go for the 5 star anyway, and as long as they're going for it, there'll be a social pressure to provide it.

The problem isn't linguistic, it's game theoretic.
Yes, as the sibling poster said, there is a 200ms reaction speed restriction on OpenAI. Also note that OpenAI is using the Dota 2 bot API (its input is not pixels, and its outputs are not mouse actions and keystrokes), so it has more precise information than the human team on things like unit coordinates and can target its actions more exactly.
DINKDINK’s reply above is more relevant. If you try using an enterprise cert to allow general public users to install your app you’ll quickly lose your enterprise cert. The enterprise cert is only to be used for internal company apps.
Looks like OpenAI just lost Match #1.
I don't have a strong opinion on Zoox, this CEO, or even this story, but there sure does seem to be a lot of frustration in the self-driving world.
Leaves me with two thoughts:

* There's a lot more runway for these bike sharing startups then I thought there'd be.

* Self driving is hard.

(^^ Copied from a duped post)
Dropped the first game. Pretty funny that the last openAI bot attempted to feed mid.
Overall a very good game. Definitely smart on PAIN gaming's part to delay the game and wait until the mid game (where OpenAI traditionally excels the most) is over in order to rely on their stronger carry. I think the lack of 5 couriers really showed where OpenAI had a crutch the last game it played. Excited to see the improvements as this goes on, and I suspect that next year we'll see the OpenAI team beat the #1 ranked human team.
Let’s Really Think About This ‘New Low-Cost Laptop to Succeed MacBook Air’ Thing
> If $15,000 is too expensive for a company, that company is doing something very wrong, when any salary will be many multiples of that.

You're very correct that salary is often the single largest expense - true even in academia. This is consistently reflected in grants and other funding awards. However, a hardware expense of $15,000 would indeed be out of reach of many biology labs. How can these both be true?

Simply: graduate students are responsible for the vast majority of the lab's research output.

Graduate student salaries in biology are very far from many multiples of $15,000. In fact, the median salary is certainly less than the lowest multiple of that. The NRSA, (a coveted, extremely competetive grant well-beyond the reach of the majority of graduate students) pays $24,324 per year. [0]

For another example, the University of Florida publishes their stipends [1] - but if you are unfamiliar with the (always) distorted presentation of the numbers, you'll have to take my word on the specifics. The standard appointment will be at .50 FTE for 11 months, a combination you won't find listed. Such a researcher's compensation for the preceding 12 months would total $20,078x11/12 = $18,404, and that's before almost certainly some $500 of mandatory fees and other unsubsidized non-tuition expenses that all graduate students get to pay tax on but immediately hand back to their employer (university).

It's not much better in academia even after becoming a doctorate. Salaries in biology for post-doctoral (ie, already possessing PhD) researchers are about $36,000. [2] And that's after a delay averaging 7 years [3] earning 1/2 to 2/3 that figure at best.

Those numbers are perfectly in line with graduate student compensation here at the University of Illinois, for what that's additionally worth.

[0] https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-1...

[1] https://hr.ufl.edu/manager-resources/recruitment-staffing/hi...

[2] http://www.sciencemag.org/careers/2015/12/new-phd-incomes-su...

[3] http://www.slate.com/articles/health_and_science/science/201...
Hooray, humans not obsolete quite yet!

Very good play from OpenAI though, even though it ultimately lost. It looked very scary how fast it could switch between dominating 5-man teamfights to splitting up and ganking or pushing down towers.
The simple model for this kind of thing is Polya's Urn.

Take an urn with green and red balls (or blue and orange, if you're colour-blind).

Pick out a ball. If it is red, put it back and replace a green ball with another red ball. If green, put it back and replace a red ball with a green.

Even starting with a perfect 50:50, and choosing completely randomly, a Polya process will eventually show that your probability of picking one colour becomes more or less certain. The urn "locks" into a particular path. While in theory it could return to 50:50 or swing back to the other colour, the odds of doing so rapidly become astronomical.

John Sterman's Business Dynamics:
Systems Thinking and Modeling for a Complex World has a really excellent discussion. Worth looking for.
Do you work for Google?
Install R Packages in SQL Server Machine Learning Services – I
I don't believe this is the case, as OpenAI was able to hex (an immediate disable) Earthshaker before he got off Echoslam (a spell with no cast delay except the time to click the key).
"Without a warning, cause or right of reply the board fired me".. There is more from Tim Kentley's twitter: https://twitter.com/TimKentleyKlay

He just posted a bunch of messages he got from his team at Zoox. Seems like a lot of employees really liked him and his leadership.
First post in a mini-series about how to install R packages in SQL Server Machine Learning Services.
Nonsense. Capitalism coexisted with the literal buying and selling of humans as property.

If you want to redefine those systems as not real capitalism, you should also redefine all of the "communist" systems as not real communism because they were nowhere close to the textbook definition of communism. Textbook communism is stateless, while all of those examples had a state.
These were the limitations for the previous OpenAI game:

- Random Draft using a pool of 18 heroes (Crystal Maiden, Death Prophet, Earthshaker, Gyrocopter, Lich, Lion, Necrophos, Queen of Pain, Razor, Riki, Shadow Fiend, Slark, Sniper, Sven, Tidehunter, Viper, or Witch Doctor)

- No summons/illusions

- 5 invulnerable couriers, no exploiting them by scouting or tanking

- No Scan

Not sure if this match has the same limitations, but all heroes in the current game but one (Axe) are in list above, so maybe they added a few new heroes to the allowed pool.
I believe the SHA-1 hashes get 'translated' into SHA-256. [0] So though SHA-1 references stay in the repo, the preference is for SHA-256 hashes. But, an edge-case like this may not get a full explanation until implementation.

They go into it a bit more here. [1] Where what they mean may change depending on the transition timeline. To begin with, prefer SHA-1, but convert internally to SHA256. Output names to users in SHA-1 still. Only late in the transition begin to use the SHA256 names.

However, the mode of operation can be changed by your git config.

[0] https://github.com/git/git/blob/master/Documentation/technic...

[1] https://github.com/git/git/blob/master/Documentation/technic...
I have a friend who used to be a shift manager at Chick-fil-A. I can't remember exactly what he called that process... It was like meet and greet or walk and talk, but it's surprisingly efficient for the drive thru. He said it cuts down the average wait time for customers around 15% at his location.

I don't know what it would be like at NYC since it's not a drive thru.
I'm using VMs but not for gaming, just running Linux guests on Linux host. virgl works pretty well now for that purpose. But what's really missing is SR-IOV. AMD so far didn't want to support it in regular cards.
Beat me to it.

By the way if you click YouTube's "Share" button, it gives you the option to add a particular time stamp to the URL
I didn't even look at the URL, I assumed this was a twitch link. Makes sense they would showcase it on their flagship game though
One thing to note is that there is a significant difference between five top-200 players and a team composed of the same, in terms of coordination and familiarity with playstyle.
This is Brian -- I wrote the article (I suspect I will be typing that a lot tonight). We do clusters with 3 nodes per restaurant, so at full scale (when we have rolled out to every restaurant in the chain) that will be ~6000 nodes, and growing by new stores * 3 going forward. This will support an estimated 100k IoT "things" of various types in the next year and a half to two years (estimate)
The Phoronix test suite is open source. If patches were provided, I feel confident the result would be new benchmarks included in his articles.
This is Brian -- I wrote the article. Super cool use for a NUC! I'm going to follow the links and check out what you did some more.
Please don't post fluff to HN. It's off topic. https://news.ycombinator.com/newsguidelines.html

Pop culture topics are fine if (but only if) there's something intellectually interesting about them.
Intel Publishes Microcode Patches with No Benchmarks or Profiling Allowed
Whales have started mining. Once they figure out how to burn hydrocarbons underwater the whale industrial revolution will kick off that will be it for humanity.
I recall reading somewhere that the real advantage AI had was in it's ability to come up with bizarre strategies that confuse human opponents.
Fetching time in the browser isn't accurate because a lot of trackers exploit timing in order to fingerprint users. A lot of browsers now purposefully reduce the precision of the clock. See:

https://developer.mozilla.org/en-US/docs/Web/JavaScript/Refe...

https://johnresig.com/blog/accuracy-of-javascript-time/
What fucked up world do you live in in which people will look back fondly on Microsoft for doing the following?

1) Harvesting massive amounts of data from their users computers.

2) Harvesting massive amounts of data from their search engine and ad business.

3) Allowing the Chinese government to harvest all of their users data on their Chinese state run data centers.
The ES player didn't queue his abilities so there was delay between blinking and casting echo. Someone counted the frames and it was well over the 200ms minimum.
I don't understand what ghost windmill you are tilting at here. At all. It certainly doesn't seem to be anything I've actually said.
Wait What. Steam is a "competitor" to Mac App Store. Homebrew is a sort of competitor to app store. Heck any website which has more that 1 Mac OS "app" is a sort of an "app store ".
This is Brian -- I wrote the article. For what its worth, we considered trying to run our clusters on an array of cell phones since they would natively support connectivity fallback and pack a real effecient resource punch in a small footprint. One of our engineers came up with that idea. With the challenges compiling on ARM and the relative ease of moving forward with x86, we went that way to start. We tried really hard to balance the "ideal" with the short term "MVP", and I think we landed in a decent spot with the NUCs. They give us enough power to run the things we need in the short term, and we have some capacity for horizontal scale in the future as our needs increase. We tried to think "cloud native" at the edge as much as we could without truly being a cloud.
The last election pollsters messed up, but not by a factor of 70%.
> They've been doing this for several years at least (employees taking orders of people in line). I think since before the iPad was released.

Wendy's used to do this around 91/92 (clipboard, not iPad)

I think they ditched it with the smoking sections.
Does it have logic to inhibit packet analysis when being tested by Apple App Store reviewers?
Looks like it's built with React