skysight-inc/HackerNews huggingface dataset:
Do automatics wherever you are have the semi-auto mode where you can select the gear (but no clutch needed)? I find that's definitely sufficient for downhill engine braking. Can't speak to the winter bit though, my car doesn't exactly have a lot of torque to start with... and I generally avoid driving in really slippery conditions anyway.
Oh I fully agree that the long hours aren’t highly productive in the long run. I actually do think people work long and hard hours in the sense that they are exhausted and not chillin at the water cooler, but I doubt they’re terribly productive.

I wouldn’t call that lazy though, just counter productive.
It scans the barcode and makes sure the id is valid. If it can't determine that it will ask people to take a picture of the id, which then gets manually reviewed by a human.

Disclosure: I work for one of the big scooter companies.
Well, the comment you are replying to may have jumped the gun, both are still hypothesis.
Not a doctor, but I would think that cortisol ("stress hormone") levels would correlate pretty well with what we think of as pain, since it does stress you out and would persist over long-term pain. And vice versa for dopamine.
cool! that's a start
Display Software Engineer | North (formerly Thalmic Labs) | Kitchener ON | ONSITE | VISA

We’re the Display-SW team at North and we deliver the software behind our smart glasses display. Our team consists of software engineers who have a background in areas like computer vision, projector mapping, warping and image processing. We work to understand the underlying physics of the display and deliver software solutions that improve its performance.

Working in C++ you'll do the following:

• Develop solutions to complex problems like thermal stability of the mechanical system, computer vision for manufacturing, computational geometry solutions to ensure the device fits optimally.

• Work on cross-functional research or engineering teams to deliver state of the art subsystems for smart glass displays.

• Work from first principles to develop new calibration solutions for both prototyping purposes and mass production.

Apply here: https://bynorth.applytojob.com/apply/jobs/details/ZmpJ6iJq0m
Not exactly true AFAICT, though a valid criticism.

"After adjustment for maternal age, infants born to fathers aged 45 years or older had 14% higher odds of premature birth (odds ratio 1.14, 95% confidence interval 1.13 to 1.15), independent of gestational age, and 18% higher odds of seizures (1.18, 0.97 to 1.44) compared with infants of fathers aged 25 to 34 years. "
The problem is that given enough data, you can always find patterns. Without a causal relationship, however, those patterns are likely spurious.

For a more in-depth analysis, see "The Deluge of Spurious Correlations in Big Data": https://www.di.ens.fr/users/longo/files/BigData-Calude-Longo...

Here's the abstract:

Very large databases are a major opportunity for science and data analytics is a remarkable new field of investigation in computer science. The effectiveness of these tools is used to support a ‘‘philosophy’’ against the scientific method as developed throughout history. According to this view, computer-discovered correlations should replace understanding and guide prediction and action. Consequently, there will be no need to give scientific meaning to phenomena, by proposing, say, causal relations, since regularities in very large databases are enough: ‘‘with enough data, the numbers speak for themselves’’. The ‘‘end of science’’ is proclaimed. Using classical results from ergodic theory, Ramsey theory and algorithmic information theory, we show that this ‘‘philosophy’’ is wrong. For example, we prove that very large databases have to contain arbitrary correlations. These correlations appear only due to the size, not the nature, of data. They can be found in ‘‘randomly’’ generated, large enough databases, which—as we will prove—implies that most correlations are spurious. Too much information tends to behave like very little information. The scientific method can be enriched by computer mining in immense databases, but not replaced by it.
that's a start. thanks!
The data shows people are putting off having kids longer, both men and women [1]. Damage to reproductive tissue from rapid freezing used in cryopreservation is inconsequential; here is a report of an embryo frozen for 25 years that was successfully used to bring a fetus to term [2]. $1k-2k is cheap insurance against the future, versus rushing to have children. It's not perfect, but as I said, it's insurance. If the thawed tissue can't be used for IUI procedures, there will be ample supply to use with IVF. Very similar to being cryogenically frozen, having any percentage of success is better than 0.

This will all be moot in 5-10 years when technology is commercially available to generate reproductive tissue from adult cells [3].

[1] https://www.npr.org/sections/health-shots/2016/01/14/4628164...

[2] https://www.bbc.com/news/world-us-canada-42420864

[3] https://www.theguardian.com/science/2018/oct/14/scientists-c...
It's both - a surplus of pilots who are early in the pipeline, and a shortage of those who are experienced enough to be hired by a major carrier. When the training period is long like this, supply always lags demand significantly. If you lower wages during a surplus, you're setting the stage for a shortage a few years from now.

Edit: Also keep in mind that a "shortage" claimed by an employer can sometimes be nothing more than a shortage of people willing to work for the price they're paying. ;)
eScooterKeyGen.exe lol ;p
I think you’re missing my point that as time goes by, the need for storage space has a tendency to increase, and thusly, without the ability to upgrade, and with asinine prices from Apple for their SSD’s instead of about half that for a very nice quality SSD of the same capacity, I’d prefer to buy a baseline 8GB/128GB unit and upgrade it myself for 1/3rd of the price like
I have for every other single Mac I’ve bought in my 15+ years of purchasing them.

Furthermore, a MacBook Pro, which one could certainly call a development machine, still starts with a baseline, non-upgradeable 128GB unit.

Virtually no ‘pro’ task, Image Editing, Software Develoment, Video Editing, Audio Editing, that Macs have typically and historically been used for, are suited to these 128GB drives and create machines that need to be thrown out and add to e-waste instead of having any meaningful longevity.

I know this because I do these types of tasks all the time, and was forced into a 2017 13” MBP with a 128GB SSD and paltry 8GB of RAM earlier this year due to having it given to me as a work machine. Using it was an unpleasant experience unlike any computer I’d used, much less a Mac.

And why? For aesthetic purposes? For greed/profit? What’s the use of their ‘all-aluminum’ eco-friendly goals, if they create machines that intentionally have a 3-4 year shelf life baked into them? It’s mind-boggling.

We pay a premium for Apple devices, and more and more, especially as the prices seem to constantly be creeping upwards at this point, the conscessions we need to make to use them have become far greater than the benefits.

RIP Apple computers. Hello, Apple, Inc.
Of course the reasoning is objective, once you dig down to the underlying "non-objective" values.

Think of it as akin to mathematics. Mathematics starts with axioms, which can be completely arbitrary, and then derives an entire universe from them by following only objective, formal reasoning. Similarly here, you have some personal values that are (to some extent) arbitrary, but accepting those, you get to use objective reasoning to devise a set of tradeoffs that satisfies those values the best.

Also sometimes different people with different values aren't really in conflict, they just don't have enough knowledge to realize their values aren't being violated. Fix that, and you can get agreement.
[His] Google-free Android life
That is right, And wrong.

There are explicit exploratory methods you can use to carry out research and that is very fine, but most research today is done using an inference model, where you formulate a hypothesis and use data to corroborate it.

That is one of the premises of big data that most people do not get: It enables you to do research explicitly exploratory again, while still being rigorous and somehow falsifiable..
If you put it in the public domain it is your responsibility to ensure it is digestible by the audience you publish it to.

So yes... public posted information should be layman ready
>I believe this foundation is a big reason why the SQL Server optimizer has become one of the best (if not the best) in the world

Im not at all versed in the subject, but it seems like the memo datastructure isn’t significant to the correctness of the outcome: it makes the search space smaller/faster, but doesn’t seem to lead to better cost assignment, and the logical equivalence rules should be enforced regardless of the memo dt (the alternative being external to the memoization structure)

Is it just that faster search => more paths searched before timing out/giving up? And perhaps easier to reason about/encode?
It is as, unlike people, not all ideas and experience deserve equality.
I find it preposterous than any cyclist would want to share their very limited bike lanes with random people on rented scooters.
New York City could be the biggest winner of tech’s West Coast exodus
Agreed, and those are essentially what I'm advocating for, but the vast majority of bike lanes aren't like that. I live in Portland, the most bike-friendly city in the US, and we have very few of them.

I would also say they aren't really bike "lanes" -- they're not a lane in the street. The Dutch call them "cycle tracks" which seems more fitting.
Thinking Methodically About Performance
See sibling reply[1]. If you can't make much as a regional pilot, that sounds like supply swamping the demand. But if you need all those hours to be a different kind of pilot, that may translate into a shortage of that kind.

[1] https://news.ycombinator.com/item?id=18410665
Hey everyone, co-founder and CEO of Helm here. This post is a follow up to the thread keehun posted here: https://news.ycombinator.com/item?id=18238581

Looking forward to feedback and questions, thanks!
To me this is essentially your argument: I have to suffer with excruciating pain because somebody else might make a bad decision or lack self-control, and my pain is worth it just in case it helps somebody else (evidence is lacking there anyway. Prescriptions have dropped precipitously, but opioid deaths are still rising).

Would it change your viewpoint at all to know that a lot of chronic pain patients are now committing suicide rather than face a life where they are bed-ridden and dependent on a loved one for care? And all they need is a medication and they could have some quality of life? What about the people who have been responsible with their prescriptions but are now forced to buy potentially deadly black-market opioids like heroin and fentanyl from a dealer that is surely less concerned about their health and safety than their doctor, if they want relief?

That is extremely non-compassionate. I would never wish that on you or anyone else.

I don't think that is what you are trying to say, but I struggle to see how your logic doesn't ultimately reduce to that.

Edit (after thinking more): your example of the codeine is definitely a good example of over-subscribing, but my dad had a vasectomy that ended up being a horrible recovery. Luckily he was able to sit on the couch with a bag of ice under his balls and watch football for a week, but the man was in some serious discomfort.

I tend to think education is the answer. Teach people about the risks, and then give them freedom to decide. If we boil society and our laws down to never requiring or allowing people to take responsibility for their own actions and decisions, then we end up in a bad place IMHO.
There's Unlox, where you can lock/unlock based on phone proximity. It was wonky last time I used it, but that functionality with the watch is too good.

https://unlox.it/
Owning the Note 1, 2 and 4, I ultimately left because Samsung is very poor at updating phones regularly with current patch levels. I was forced to get a Pixel 2 which, minus the stylus I've been happy with. It still wouldn't hold a candle to a Note with bare Android.

If Samsung could adopt native android installation, like some LG devices are, this is an exciting possibility.
You have never experienced real pain.
The technical explanation of multicast is quite good. But the reason it isn't available on the internet has nothing to do with the technical hurdles.

It isn't used because of the economics behind the ISP business.

With multicast a single sender can have arbitrary many receivers but sends its data only once. The network infrastructure 'clones' than that data on its way to the receivers as necessary. But that's not in line with the economic interests of an ISP.

With unicast the sender has to use increasingly more bandwidth when he wants to reach more receivers, and the ISP gets payed for that additional bandwidth. The more bandwidth the sender uses the more money makes the ISP. With multicast on the other hand the sender needs to send everything only once no mater how many receivers are listening.

Imagine you could send an audio or video stream to potentially everyone with internet access in the whole world but would need to pay only for the bandwidth of exactly one stream. That would be very nice for you, or Spotify, or Netflix, but not such a good deal as the current one for your ISP.

That's why ISPs don't sell multicast connectivity. Technically it would be easy. The current network-infrastructure would be able to handle multicast (almost) without any additional effort on the carrier side. After all the technology is build in in almost every switch or router for years now. Live streaming of AV media would be possible for everyone with internet access. One would not need the bandwidth of say YouTube to reach as many receivers as they do. But that will never happen because ISPs just aren't interested in providing multicast connectivity!
If you allow drinking at work, what BAC is ok?

What exactly is the justification for endorsing drinking at work?
Given:

> Good Software Uses Everyday Language

I'm curious why keyboard shortcuts are called accelerators.

Overall looks like a pretty good set of things to think about as a UX designer.
It wasn't that no one wanted them - they just weren't powerful or portable enough.

Snapdragon's 835 changed that. So will the A12X from Apple.
Ask HN: Books about database implementation (relational algebra, etc.)?
I'm looking for a book on the computer science involved in implementing a database:

* Relational algebra

* Logical vs. physical planning stages

* Optimization (cost-based, etc.)

* Indexing algorithms

* Physical layouts

* Concurrency control

* Parsing

* Distribution

* OLTP vs. OLAP

* etc.

I'm not looking for books about how to write database apps or to manage them, nor books about modeling data or explaining SQL.

Thanks!
I'm a graduate student in the biomedical sciences. I perform scientific studies and occasionally publish in peer reviewed journals. I am not a clinician, and I do not run clinical trials.

Clinical trials are not basic research, though they rely on a great body of basic research, and are themselves experiments. Requiring that clinical studies have clearly defined end points serves the purpose of ensuring that the results are robust and well understood. This is important because the end goal of a clinical trial is developing a treatment of some sort that will go into many humans, and mistakes can be very harmful.

Choosing an appropriate endpoint for a clinical trial can also be very challenging. Say for example you're trying to advance a drug candidate for treating cardiovascular disease. You have many choices for how to measure that - chest pain, resting heartrate, cholesterol etc. It's very much possible that your drug does improve cardiovascular health, but your trial can fail because you chose the wrong endpoint.

When I perform an experiment, I do so with a hypothesis which is sometimes proven right, and sometimes proven wrong. Either way, the results can be interesting and form pieces of the large puzzle that is a scientific study. Further, questions that are addressed in a scientific study are generally going to be more broad than those addressed in a clinical trial - we don't really do exploratory clinical trials, but exploratory research is a very important part of science. For these sorts of studies, it is often difficult or impossible to have a well defined endpoint such as is required in a clinical trial. One example for you: I hypothesize that enzyme X has function Y. During my studies, I discover that enzyme X actually has function W! If the evidence I present for enzyme X having function W is solid, my results can still be great and useful, even if my initial hypothesis was wrong.
Because when you analyse a lot of data after the fact you will find something. It is really easy/cheap to measure things not part of the study. If you look at 100 things and find 5 that are interesting with only a 5% chance of being a false positive they are all false positives because you expect in a sample of 100 to find 5 false positives.

Analysis after the fact isn't useless. However the bar of significance needs to be much higher. You need a much larger sample size, or better yet design a new study (controlling for things the original didn't) to draw conclusions.

Note, technically statistics do not expect to find 5 false positives in 100. It is close enough for discussion and makes intuitive sense. If you want the real truth be prepared for a lot of math.
How much of it is ageism and how much of it people not aggressively keeping thier skill up? I’m no special snowflake. I just keep my skills current and take care of my network.
I very much doubt it. It doesn't run Windows stuff, so it's more of a competitor to Chromebooks, and those haven't sold like wild (less than 5% of new sales in 2016). Coupled with the fact that it restricts you in the choice of phone, and I think it's basically DOA.
This is where the NTSB report most directly addresses the issue: "...the loss of the left trim tab’s downward force on the elevator resulted in a concurrent sudden upward deflection of the elevator, a sudden and forceful aft movement of the control stick, the pitch-up of the airplane, and the rapid increase in G."

At this point, the trim tab was still attached, but its link assembly had broken.

In addition, the report notes "two major modifications to the elevators each made the airplane more sensitive in pitch control: the substantially increased elevator counterweights (about twice that of a stock P-51D) that overbalanced the elevators and the substantially decreased elevator inertia weight (less than half that of stock)."
The previous sentence to the one you quote explains:

> We can even remove an infinite number of problems from the set and still have an infinite and undecidable set.

It is an undecidable set, so cannot be described by a TM.
People react differently to the same stimuli. What may traumatize one person, may not do anything to the next.
What you're saying and what I said are consistent, not backwards.

"If most offenses are first offenses" satisfies the predicate "Unless [% of first offenses] is a really low number"

The consequent "firing after a first offense won't help much" is consistent with "firing after first offense won't reduce the total number of incidents enough."
Seems like an instance of reinventing the wheel ...
The article claims the drugs are worthless. The studies only show they aren't successful in a single pre-registered result.
Yeah, why wouldn't you? Either you believe it necessary or you don't.
Zuckerberg has been joining groups recently so I am sure he'll fix it if he sees it as an issue.
Are you familiar with the multiple comparisons problem[1]? The problem is that in any sufficiently rich dataset, you can find something unusual-looking, and if you're not straightforward about how much digging you had to do to find it, it will look much more special than it actually is. So if a benefit is found by chance, that's fine, but it should only motivate further research which specifically look for that effect.

[1] https://en.wikipedia.org/wiki/Multiple_comparisons_problem
Do those languages have anything even remotely similar to linear types [0]? If not then they aren't even in the same league as Rust.

[0] https://en.wikipedia.org/wiki/Substructural_type_system

These types of comments really irritate me.
New thing X comes out that solves an unsolved problem.
Then someone comments "why not obsolete thing Y that doesn't solve the problem sufficiently"?

I constantly see comparisons like JVM vs WASM [1], or in this case Ada vs Rust.
And very often the newer thing is superior and is not popular just because of cargo culting.

[1] i.e. To obtain similar performance while still using java bytecode you will have to stop using the Java object model completely and exclusively use sun.misc.Unsafe and calculate field offsets of structs manually and still have the risk of vulnerabilities like buffer overflows similar to writing programs in C.
https://www.amazon.com/Transaction-Processing-Concepts-Techn... is pretty solid.
Especially since in the full context it's a bit more measured. This portion follows what is typically quoted:

"In this formulation, I do not imply, for instance, that we should always suppress the utterance of intolerant philosophies; as long as we can counter them by rational argument and keep them in check by public opinion, suppression would certainly be unwise. But we should claim the right to suppress them if necessary even by force;"

Seems Popper would not have much issue with tolerating Damore, but tolerating things like Neo-nazi marches probably crosses his line.
Cloudflare's work with 1.1.1.1 has demonstrated not only that it's _possible_ to use a previously-unusable IP address, but that it's _valuable_ to do so because it compels reporting of – and repair of – broken hardware and software on the market.
What specific exploratory methods are you referring to?
is there a Dockerfile with everything set up already?
Let us know by opening an issue on Github: https://github.com/openai/spinningup/issues/new
"Clinical trials are a type of scientific study. The studies shown in the article are of a particular type, and don't represent all studies, much like cows don't represent all farm animals. There may be similar cases across the remainder of science, but this case cannot be used to show that this is true, in the same way cows producing milk cannot be used to show that chickens produce milk.

"A reasonable takeaway from this article is that any one scientific study may contain flaws, or show bias, and therefore there is a possibility for it to be confirmed, improved, or disproven in the future. As a result, it is better to take early results with a grain of salt until additional supporting evidence is found, than to take them as gospel.

"It should be noted that these results are due to flaws in the scientific establishment, flaws in the human application of science, and flaws in the humans themselves, but not the scientific method itself. The scientific method itself is sound and can be trusted. You use it every day to see whether the water in your shower is too hot or cold, or whether it is raining outside."