skysight-inc/HackerNews huggingface dataset:
Oh, you are right. I was thinking $0.006 not $0.60 when I did that math in my head.
In Telekube we have hybrid auto updates with fallback to manual in case if things go wrong, so we can recover:

https://gravitational.com/docs/cluster/#performing-upgrade
These questions should be asked about every startup, not only ML/AI.
It was a reference to a common shorthand/cliché - "cat food retirement" is one variation.

I was a rice and beans fan.
Not really, there are potential applications: Higher beat frequency components exist in other flagellated cells; therefore, this steering mechanism might be widespread and could inspire the design of synthetic microswimmers.
How revolutionary was this when published?
Fastest way to build dashboards with EmberJS
Sadly, I think it is worse. I see them having gone in with no plan B. I have no doubt, if the internet rage machine didn't go off, Logitech would have continued to be bastards, and only "listened to our customers" in blind panic.
Presumably some would have full time off.
> As long as we keep paying our bills, I don't see why they would want to cut us loose.

I can imagine a competitor trying to boot you off by bombarding their abuse team with bogus complaints and triggering automated actions. It's been done in the past, the problem is that all major companies (not just hosting, but ANY large company!) try to save on actual customer support and even more on stuff they can't bill to the customer, like a properly staffed abuse team.
Being so smart that you can make a lousy situation work - where everybody else would fail fast and move on.
Having little data and not enough resources to manually label thousands of examples seems to be a somewhat neglected problem.

It's not a neglected problem - it is an extremely active area of research, and something people deal with every single day when using ML in industry (do you feel my frustration there?!)

The problem is that there isn't a single generalization method that works well.

For specific problems there are numerous approaches which can help. Distant supervision, adversarial techniques, data augmentation, reinforcement learning etc are all areas to look at - but the specific technique depends on your exact problem.
Silicon Valley’s ‘car people’ push homeless crisis to the brink
They buy a big license, make money and get out. It's just a scheme... not a game development cycle.
Why would enough 10x programmers waste their time on these low paying projects to make it a viable site?

Maybe one or two, sure, when they need a quick couple hundred, but not consistently. Which means if I'm looking for someone to do my projects, it's going to be fulfilled by someone who is expecting low pay, which means, on average, their not going to be a 10x programmer.

I just don't see this being proper valuations for the example projects. They are too low, which makes me question the finished results' quality.
>> unfermented wine

Is there such a thing?
But there's a clear difference between addictive opioids and non-addictive alternatives sold over the counter. The risk is just not comparable.
> I think we will eventually see some workplaces offer micro-offices with high tech ventilation, fiber optic lights, sound proofing, and virtual windows.

We've had them for my entire working life and probably decades earlier: cubicles. They don't have to be dilbert esque cubicle farms in 90,000 square meter office floors.
Electric Sheep ships with Slackware, which I've always found to be a really cool little feature. Certainly one less thing to install :)
Haha, no worries, and sorry if that came off as overly pedantic, I work in the broader industry and was still winding down from aggressively-reading-things-about-energy-mode.

Glad you found it interesting! One additional tidbit is that they have to keep the water level at the pools downstream of the intakes within 1.5ft +/- the historical mean. There's a bit more leeway than that over time, but they do typically hit the mark. It's quite the operation.
So much of it relates to consumption, and no one makes money from people eating less. People however make money from pushing gym memberships or active wear or supplements.

Everywhere from restaurants to supermarkets to chocolate bar companies to fast food all make more money if you eat more. There's no incentive to advertise eating less.

You don't see restaurants advertising smaller or even reasonable portions - it's always giant burgers or steaks or monstrous pizzas. In fact, it's a regular critique of fancy restaurants that they have tiny, considered portions. So, people instead eat until they're well-beyond sated. Day after day.
I meant more social by comparing to playing computer and video games at home. Actually funny anecdote, the crowd I was in blocked traffic for 5 to 10 minutes by jaywalking (it was that big). I didn't join them but I definitely see your point.
> Google got great because of PageRank, but it stayed great due to network effects.

I think this overstates network effects and under-appreciates branding and simply reinvesting significant capital into continued R&D.
what an idiot reporter, the driverless bus was backed into by a truck - how then did it 'get into it'?
Interesting suggestion.

Have you tried this? What were the results?
https://plato.stanford.edu/entries/newton-principia/#OveImpW...
That's what they seem to have done. As I remember, my wife's pokestops matched my ingress hubs 1:1. They made the backend on Ingress, and are licensing and skinning it now.
Same. As a grad student I had a lab all to myself for a couple years, and it was lonely and depressing and hard to stay motivated. I'm better-adjusted and higher-functioning when I get to see humans in my day.
Too bad the site just reduced to jokes and spam after it was posted on HN.
Thanks! The talk is called "The most valuable values". A lot of it will be about "thinking in value semantics" and then I'll show the architecture of interactive software as an example. There will be video, I think :-)
For a stretch, I went to the office on Monday, and worked from home the rest of the week. Never in my life have I been as happy with a work situation, or gotten anywhere near as much done. The one day in the office was enough to deal with staff meetings and do planning and other work that actually benefits from being co-located with other people. The other four days I could grind away and actually structure my day so that I could get the contiguous blocks of time necessary to actually get things done. Sometimes that meant I was awake at 4am and coded away madly until sunrise; other days I might take a nap or work on some stuff around the house in those afternoon hours when productivity is at a nadir. I probably ended up actually working somewhere close to 40-50 hours a week, instead of just being at the office for 40.

These days, I've basically got that schedule flipped, except I'm working from home on Fridays. On average, I probably get an hour or two of real work done; there's just so much overhead and interruptions that make it damn near impossible to actually concentrate and do anything. On Friday when I work from home, I'm so burned out and used up that I can't get much accomplished then either; besides trying to steal time to deal with all of the errands and other business that it's my only opportunity to get done during business hours. It's really not a great setup.

I've been thinking about trying to switch to working four tens instead of five eights; working seven to five would essentially double the amount of time I have to actually get work done, in those two hours before anybody else is in the office.

Unfortunately bosses get itchy if they can't see that you're there in the office and they can't walk over at any moment and poke you.
Honestly, you could almost call it an Ingress "theme" or "skin".
For me, the perfect solution was a cubicle with high walls. It was open enough to encourage collaboration when needed, but closed off enough to allow for privacy when needed. It was perfect because I was able to get into deep concentration modes and I learned and accomplished so much in those years. Now, I work in an open office area and I am really getting fed up with the distractions. Constant cross-talk and interruptions, especially by the coworker sitting right next to me who just won't shut the fuck up. He's one of those people that mumble any thought that comes to his head and expects you to respond to or acknowledge him in some way. He also constantly wants me to see something on his screen or has questions, requiring me to turn and face him to talk, breaking my concentration. Other coworkers just mosy on up to my desk to say hi or casually ask me for my input on various issues. Add to that several useless standup and status meetings, and my productivity basically becomes 0% until about 2 pm when everyone is finally quiet from food comas. The din starts back up in an hour or so and dors not die down again until most everyone leaves for the day. I stay until about 6pm and I get more done in those 2 hours than I do in the other 6-7 hours of the day. Open offices are not just a bad or failed idea, they're a fucking disaster.
Bionic office (Joel Spolsky, Sept 24 2003)
Taking the subway in Tokyo, I still see people playing Pokémon Go many times a day. Not sure what your definition of “disappeared” is.
There's been like three IO outages and plus one user registered the nameserver domains to intercept traffic.
I think it's the opposite. Choosing python in the first place is mostly for fun and giggles.

People want to switch away from python because of all the pain they feel from it.
There are a few companies you can get simulation software from specifically designed for self-driving cars. See https://blogs.nvidia.com/blog/2017/10/26/self-driving-simula... for some discussion.

It's true that this isn't photo-realistic (see https://www.youtube.com/watch?v=D7OccC0W_CU for a video), but at the same time it is useful enough for training.
The card swipe interaction isn't feeling good to me. Feels like it needs improvement. More than 50% of swipes don't work...
People generally don't give money away for nothing, and spend it carefully, so when someone figures out how to get a lot of people to pay them for something, I figure that's pretty high evidence they've done something helpful. Certainly exceptions exist.
Pretty sure manipulation with loaded language is not unique to modern discourse. There seems to be an assumption that folks who predate modern tech were somehow unsophisticated or innocent. Not so - if anyone finds modern political antics entertaining, I highly recommend them Roman history.

While spotting rhetorical techniques, I'd throw out that my synonym-choice is more something that I've been trying to train myself out of - I tend to unconsciously take a step 'up' in generality when rephrasing elements of others' arguments, and it isn't a great habit. Sometimes it can be useful, but oftentimes muddies the waters. Been trying to retrain myself, obviously with mixed results.
Despite my frustration at Ingress and annoyance at Pokémon Go, I'm not too proud to admit it:

"You had me at Hello"

I will be playing on day one. I'm holding out hope they can catch the hype-lightning of Pokémon, the innovation of Ingress, the wonder of the Wizarding World of Harry Potter (TM) and add a vital third part the other games lacked: long-term fun.
You want a job yet? ;)
I haven't read Pliny (though I've read that he had much lower epistemic standards than e.g. Aristotle), but here's a perhaps similar case: I have a volume from a "great classics" series with the surviving works of Archimedes, Apollonius, and Nicomachus -- three ancient "mathematicians". I put that word in quotes because though the first two fully merit it, the latter work is embarrassing stuff, hardly more than numerology. Nicomachus lived around Pliny's time, several centuries after the heyday of Greek/Hellenistic science.

This tangent's in response to all the downvotes for peterwwillis's opinion -- it seems reasonable to me, except maybe he should've said the standards of pre-Roman Greece.
Agreed. There are many flavors of moats. I originally wrote something more complex but it quickly turned into an amateur HBS study about Google. I hope the point is interpreted more metaphorically.
ABBYY has dominated the field for many years (decades really) and still outperforms every solution out there. OmniPage by Nuance is probably the second best.

Preprocessing the images (OCR pipeline) is very important for OCR. For generic scanned PDF documents Finereader does a pretty good job.

There is a lot of stuff going on in a OCR engine. Layout analysis, dewarping, binarization, deskewing, despeckling (and others) and then there's the OCR itself.
With Tesseract you have to do a lot of things yourself, you have to provide it with a clean image. The commercial packages do that for you automatically. ABBYY and other solutions also use NLP to augment/check the OCR results from a semantic analysis perspective.

Also, there is no "one size fits all" OCR. It is highly specific to the nature of the application. Consider the following use cases:

- scanned PDF document
- scanned document with a non-standard font (e.g. Fraktur script in a historic book)
- photo of scanned document acquired with a mobile phone's camera
- passport OCR (MRZ)
- credit card OCR
- text appearing in natural image (e.g. store sign)

These are all "OCR projects" but they require very different approaches. You cannot just throw any input image at an OCR engine and expect it to work. It often requires a mix of computer vision/image processing, machine learning and OCR engine.

There is a growing number of papers using deep learning that get submitted to ICDAR (the premier OCR conference) and the other OCR conferences.
One of the problems is the lack of a universal dataset/competition like ImageNet.
The SmartDoc competition (documents captured from smartphones) was cancelled this year due to an insufficient number of participants.

If anyone is doing work with OCR + deep learning, I'd love to discuss!
Student enrolled in his Bayesian Machine Learning class ORIE 6741. The formulation of adding bayesian inference to deep learning can be applied to CNN's as well. I plan on using his work on Stochastic Gradient Hamiltonian Monte Carlo to do Bayesian Inference on Image Segmentation as well. For more interest, check out this blog, super interesting: http://www.cs.ox.ac.uk/people/yarin.gal/website/blog_3d801aa...
Grape juice?

I'm not trying to be snarling, I actually am wondering something else is added to grapes to make it pre-wine?
The problem is that company actions are usually dictated by the bean counters in accounting/finance.

By forcing the company to an open-office layout, the CFO can claim an immediate reduction in rent cost (KPIs: short term profits, office space per worker) and the bonuses that go along with it.

When it inevitably ends up hurting the company because people leave, they can shift the blame by saying "those who left (or who don't want to join the company any more once they hear that it's open office) are not culturally fitting to our new ultra-agile, ultra-communcation mantra any more, it was neccessary".

And when shit really hits the fan (massive loss of staff/productivity), the CFO can still quietly depart, after all he likely already has pocketed the boni and stock options and whatnotelse. Or not depart at all by successfully attributing the problems to entirely unrelated things (e.g. a payment rise freeze, $new_attractive_startup opening up shop in the same city, rent risings forcing people out of town, ...).

But by that point, it will be so much more expensive to shift back into a closed space layout... because the place that has been "won" might be rented out to another company or filled with new hires (thus making a rescale == a move of the entire office).

The only places where open space layouts can work are places that have a strong remote culture by allowing those who suffer the most from open office layouts to simply work (more) from home or those with a CxO team with great managerial/psychological skills, where the leadership e.g. listens to the workers and installs plants as sound catchers or visual/audio barriers, so that the workers feel a subjective improvement in the kind of "meh, it sucks, but it's not so bad any more since we have the new plants and it doesn't suck enough to search for a new job".

tl;dr: wrong/toxic KPI focus in management is the problem, and there is no KPI for "employee happiness/productivity" that can be scientifically measured without a doubt, while everyone with a calculator can determine savings in rent and office space per worker.

Another thing that people often forget when discussing open-office plants is smell. Most focus on visual or audio distractions, but smell is an important factor, too. In a closed-space layout you stick the dog people with their dogs and those tolerant to dog smell into one office and be done, while the dog smell in an open space environment goes everywhere. This also applies to human odors and especially those of food - for example, I'm fine with nearly anything except fish. As soon as someone eats fish and I can smell it, I escape to somewhere where I cannot smell the fish any more. Other people react to other smells, and that may be something as simple as the colleague having jogged to the office and being sweaty.
So like a torque reaction arm[1], mounted on your back, that uses your own arm? In addition to the OP sidebar video, there are these[2]. They also make an "anchor it to something nearby" portable arm.

[1] https://www.youtube.com/results?search_query=torque+reaction... [2] https://www.youtube.com/watch?v=HpYhY5-cVyk https://www.youtube.com/watch?time_continue=4&v=sn7qETycSUs
I believe it models a distribution of the weights the network after training. Once you can generate samples, you can average the values to get expected mean, which is the improved prediction.
> No-one goes out of their way to choose a slower language.

> (...)

> why were you thinking of writing it in Python at all?

They simply have no awareness of how slow it is, or how important performance is.

> IME thinking about language performance at all is premature optimization

Are you serious? Python code is about 10 times slower than equivalent code in Go.
Should the engineers ask the same question when a high profile VC, like YC have already invested on the company? The questions look more like what a VC should (have) asked before funding.

Many ML/AI companies especially if funded and therefore highly visible may get acquired as the market is very hot. Isn't that good for the engineers?
Totally on point.

If you are an American, I challenge you to start noticing:

"Oh man, I was soooo shitfaced..."

"I was so hungover..."

"Dude, I don't even know how I made it home..."

"Nah, I'm fine to drive..."

"I'm sorry, it was the booze talking..."

"I need a fuckin' drink after this..."

"One for the road..."

"I don't give a shit, I need to piss..."

"Fuuuuuck it!"

Notice the advertising in convenience stores. The standees of scantily clad women holding a frosty bottle of beer. Usually near the Slurpee section. Or maybe they came and switched it out to a football playeror a jolly Santa made out of 12 packs. Tis the season!

America needs to wake up. I don't believe in prohibition of any drug, but I believe even in the current system it should be reclassified Schedule I.
They effectively are, aren't they? They get paid the same but it buys less stuff.
What-a-shit-show. The obvious answer is to move and let Silicon Valley implode.
As in was involved in.
OK, but I don't have to be part of the minority to understand why I don't want my neighbor to be able to tear his house down and replace it with a 7-11, or an oil refinery, or a landfill. Do any of those things throw up red flags for you?

I mean, sure, it changes the value of my property if my neighbor doesn't keep his bushes neatly trimmed. But there's stuff that he can do that's a lot more serious than that. I don't regard opposing a 7-11 on my neighbor's property as "tyranny of the majority" - or at least I regard letting my neighbor freely choose to do those things as "tyranny of the minority", which I regard as worse.

Now, obviously you can take this to extremes, and you can get upper-middle-class white-bread cisnormative-with-2.3-kids neighbors who insist that you have to have exactly 2.3 kids or you can't live in the neighborhood. Also, your garage has to be painted the right shade of blue. That's definitely tyranny of the majority, and I agree that it can be oppressive.

And I guess opposing a 7-11 next door, or an oil refinery, or a landfill is exactly NIMBY-ism. But I moved into a neighborhood where part of the restrictive covenants said that I couldn't open a convenience store on my lot - because it was going to conflict with the one that they were planning for a block or two away, on the corner of the subdivision. That was known in advance to everyone who bought into (or built in) the subdivision, and I don't have a problem with that. I don't have a problem with an oil refinery next door, either, if I know it's coming when I buy the property. (I would probably not buy, but if I did, I would know what I was signing up for.)

And I didn't have a problem with the neighbor two doors down starting a hair salon in her house, even though I didn't know that was coming when I bought into the neighborhood. There was a mechanism where anyone who had a problem with it had a chance to be heard, though. (I don't know if they could have blocked it, or if someone else got to judge the seriousness of the objection.)

TL;DR: I'm not opposed to people being able to do things. I'm opposed to people being able to do things that significantly harm the value of their neighbor's property in ways that the neighbors didn't know was coming at the time they bought the property.
Filtering Images Using Web Audio API – Statuscode – Medium
Categories That Want to Be Arrows
I work in a place where we have shared offices: 2 or 3 people sharing a little room. The worst, most depressing times in my career here were when everyone but me either moved to another office or left the company, leaving me by myself in the office. I pretty much couldn't take it after a few days, and would always move my laptop into the break room so to avoid the solitary confinement. I could not take working at home simply due to the lack of human contact. I also would be much worse at my job working remotely due to my particular role's need to walk the floor, have face to face conversations, and participate in meetings.

One size does not fit all. Companies should be flexible.
because I could have put a tilde, or the source I used, and its not important when we hit these ranges of number relative to the population. The message is more important.

The figure is for perspective.

Your problem only revealed that the number was too low, which only strengthens the actual message. Thats very unproductive and not healthy.
You're forgetting the colon. You're already pressing shift.
Serious question, as I am not a gamer: Why are they so successful? Why doesn’t someone just do the same real-world-including game style but with scalability? Are they much better at game design than other people? Better at acquiring IP rights? Something else?
Blockchain scalability by blockchain clustering