skysight-inc/HackerNews huggingface dataset:
This is a good question. I want to write a more detailed post about this in the future, but here are a few points for now:

- Neuropod is an abstraction layer so it can do useful things on top of just running models locally. For example, we can transparently proxy model execution to remote machines. This can be super useful for running large scale jobs with compute intensive models. Including GPUs in all our cluster machines doesn’t make sense from a resource efficiency perspective so instead, if we proxy model execution to a smaller cluster of GPU-enabled servers, we can get higher GPU utilization while using fewer GPUs. The "Model serving" section of the blog post ([1]) goes into more detail on this. We can also do interesting things with model isolation (see the "Out-of-process execution" section of the post).

- ONNX converts models while Neuropod wraps them. We use TensorFlow, TorchScript, etc. under the hood to run a model. This is important because we have several models that use custom ops, TensorRT, etc. We can use the same custom ops that we use at training time during inference. One of the goals of Neuropod is to make experimentation, deployment, and iteration easier so not having to do additional "conversion" work is useful.

- When we started building Neuropod, ONNX could only do trace-based conversions of PyTorch models. We've generally had lots of trouble with correctness of trace-based conversions for non-trivial models (even with TorchScript). Removing intermediate conversion steps (and their corresponding verification steps) can save a lot of time and make the experimentation process more efficient.

- Being able to define a "problem" interface was important to us (e.g. "this is the interface of a model that does 2d object detection"). This lets us have multiple implementations that we can easily swap out because we concretely defined an interface. This capability is useful for comparing models across frameworks without doing a lot of work. The blog post ([1]) talks about this in more detail.

The blog post ([1]) goes into a lot more detail about our motivations and use cases so it's worth a read.

[1] https://eng.uber.com/introducing-neuropod/
> There are 0 examples of a man made construct reaching "general" intelligence (whatever fuzzy meaning you may attach to it); there is no reason to believe that because we can reach some arbitrary human milestone today ("be a world class Go player"), any other human milestone ("start and run a company, and be a mentor and inspiration to others") is plausible.

No reason? If you were an outside observer looking at the very first individuals of what you decided to call human, maybe. But after so many steps were made? You can argue that, before there was a plane, there was zero reason to thing that humans can ever create one. And you could've claimed that for pretty much anything else. And you'd generally see that they did get created. Why would artificial intelligence be fundamentally different? I'm not saying "we can do it in the next five years", but to say that there's no reason to believe that it will ever happen?

> We do not have such an understanding backing current ML work.

And we did not have the knowledge of aerodynamics before we started looking into throwing things, then keeping things in the air for longer than they would if they were thrown, and eventually flying them (yes, a bit simplified).
So I tuned in and it was hard to watch because during the Galileo presentation I was getting a lot of hiccups and sputtering. I had to stop watching because it was impossible to follow along. Is anyone else experiencing this issue?
Am I getting Craigslist scammed?
I’m not a hiker, but I miss (0) telling people where you’re going and when you expect to report back.

Without it, even a sprained ankle can be deadly.
In fairness, the right has been pretty consistent about tailoring the response according to risk—i.e., those who are at risk should isolate and everyone else should resume work. They happened to be right in this regard. The left has also made exceptions in their “lockdown everything” policy, specifically with regard to their own protests (and the response of pandemic experts is a particularly interesting case study of the polarization of science production as opposed to the polarization of science consumption).
I don't know about other insurers, but USAA's renter's insurance covers earthquakes. Also, I just got a quote from Lemonade and they have an option to add earthquake coverage via a third party.

I think the difference is that renter's insurance isn't covering damage to the building. They're only covering damage to your stuff if it gets buried underneath the building.
Implementing a Neural Network in Python from scratch (2019)
Forma.ai | Toronto, Canada | Full Stack Engineer | ONSITE | Full Time

We are a stealth startup currently based out of downtown Toronto. Our goal is to optimize sales compensation optimization for large enterprise companies. We currently working with multiple multinational companies, looking to accelerate our development.

We are using modern tools such as react / redux / django / python / Postgres etc.

We are looking for talented developers to join our team, it doesn't matter if you are not familiar with any aspect of our tech stack, as long as you are smart and willing to learn fast.

Email me at annamarie.ince@forma.ai
That would be a good way to move wealth out of Palo Alto.
I did sous vide steak for many years, but recently switched back to doing it the old fashioned way: Sear both sides for 30-45 seconds and then throw in the oven for several minutes at max heat (500F for me) until reaching the desired internal temp. It’s so much faster and I find the taste at least as good. Sous vide is still really interesting for certain things, but I don’t see the point for steak anymore.
Use JavaScript Instead of TypeScript for Internal Deno Code
Out of curiosity, how did you find investors to sell to for secondaries?
That looks promising! The minified version looks a little larger than Bootstrap (200k vs 160k), but it looks impressive, and I'm much happier going with something that uses Flexbox.
marionette, backbone, knockoutjs! lol the list is endless.

in 5 years, react??? who knows.
I'm sure someone eventually made one to address the market need, and $120 sounds like a fair price given the complexity. It wasn't available when I needed it, and it doesn't change the fact that Sony just up and dropped support for old displays.
Rather than being some ostensibly neutral cloud, Palantir was/is CIA funded. So data straight into CIA/NSA/whomevers hands.
Not a dumb question at all.
I am 46 now and am a Senior SRE at at large company here in the valley and have been where you are, I went the startup route for a while but in the end this is a better fit for me.

There is an old saying that "someone who doesn't like to talk about their work, hates it." If your free time is not involved with what you do at work then you may be in the wrong profession or, you may have not had a chance to marry the two. Filmmaking and government are both GREAT areas for tech!

I used to live in LA and know a lot of people in the movie industry who work in computers there and make a very good living. It's not just VFX folks but also game companies and all the support that goes with media, from websites, pipelines and advertising. There is a ton of ways to be in tech/programming and work in film or game industries in LA or New York. Same goes for politics, except that is going to be more limited to Washington DC (which is surprisingly a great place to live). In DC and the surrounding areas like Maryland is where all your tech folks at a multitude of government contractors, lobbyists, data collection and campaigns (as well as security).

If it is just about money and if you want to stay a programmer in regular tech then my advice in answer to this is; challenging yourself is always the best/better option unless you are explicitly taking a break. If you want to advance in your career and not stagnate, if you want to not be bored then you need to challenge yourself at every step. If this is not possible in your job, find a new job. Finding a new job is easier than you might think, every company is hiring programmers, data science, large data, reliability people even in the middle of a pandemic. Most of those companies will move you to one of the hubs of tech. Get that book cracking the coding interview, do practice interviews online, read all the cheatsheets for interviews people have on github, contribute to opensource, write tutorials on Medium and Github pages and try to land a job in Silicon Valley, you will make money and live in a pretty place and if you are careful with money you can retire early. (all the FIRE kids are doing it)

Figured I would toss that out there.
We’re very sorry that the world outside is burning due to injustice and systemic inequality, and this might disrupt your nice little privileged bubble.
If you found the treasure, would the savings on taxes be enough to forgo the lucrative and ego stroking talk show circuit, and inevitable reality show?
In some circles, there's even an expression for a related phenomenon: "skin hunger"

https://globalnews.ca/news/6929793/coronavirus-disability-to...
Yes, correct, you are right the average does not represent the 90th percentile.
To add to the rsync answers, I think robocopy in a Windows environment is great.
I wrote our internal lightweight version of neuropod at another SDC startup where we did use TensorRT. Our ML researchers worked in pytorch and more often than not, the pytorch -> onnx -> tensorrt conversion did not work. We ended up needing to replicate the network architecture using the tensorrt library and manually convert the weights from pytorch. Then we'd use the tensorrt serialization to compile the models so they could be run in c++. I imagine that they may have tried this in neuropod and saw the same conversion problems. TensorRT was a big investment to get running smoothly but it did shave off 20% or so off our inference latency
It almost certainly went like this:

Scientist: "Boss, it's only time for a disaster to happen"

Policymaker: "Will it happen now?"

Scientist: "No, but it will happen"

Policymaker: "OK, then, remind me when it happens"
What is the advantage of doing something in CSS vs JS?
Design vs Illustration.

Design is technical.
Illustration is creative.
“If I mysteriously disappear, this will be why”
They give little regard to the actual history of "secure enclave" devices in encryption. Smart cards with private keys generated on-device have been around for decades. This is either the present or the near-past of authentication, not the future.
I suspect we need standards/protocals defined at layers above the crypto-layer. For the certificate warning date, a yellow lock rather then giant red screens browsers show me now would be good, so at least in some cases users can do the notification. However, the real solution is standardized tooling that helps the organization detect the issue.

Let's encrypt is definitely in this vain, however I think it needs to be the point where software defaults to user friendly behaviors like auto-renewal unless explicitly told not to. This seems like it could be address in standards making process, but maybe that's the wrong venue.
Now I'm curious, how many search queries does the average person make per month? I've been more and more dissatisfied with results I'm getting and would happily pay $10-20 per month for search. Especially if that means I'm not getting tracked and not seeing ads. Or maybe just seeing ads that aren't being in-lined.
I’ve got a 5 year old react app that still gets worked on just fine. It doesn’t need every new state management library.

The problem with JS isn’t the major frameworks. It’s people that complain about how many packages exist. This is a consequence of its popularity. Take some time to use the language more, and you won’t be installing packages that are out of date in a month.
Losses + “Loss adjustment expense” are your costs. Loss adjustment expense is broken into Allocated Loss Adjustment expense - expenses tied to a particular claim (Typically lawyers); Unallocated Loss Adjustment Expense - overhead.

Theoretically two companies with the same policies will pay out the same losses but will differentiate themselves in expense ratios.

In some lines it’s not bad to have loss + expense ratios > 100% because the average time of premium is very far from the average date of loss, so while there is an underwriting loss it is offset by the investment gain.
Train and Deploy XGBoost on Mobile
As I once told an interviewer, "Legacy code is the future!"
Yep! One way that insurance compmanies can achieve this is by providing members of their insured population access to services that reduce their individualized risk.

Pre-COVID, many health insurance companies (my industry) were gearing up to offer free Doctor on Call (a service that, if well-implemented from a tech PoV, has near-zero margin costs), because access to such a program reduces the risk of expensive claims later down the line.

I'm sure there are equivalents in the kind of insurance that Lemonade provides. For example, they might offer free or heavily subsidized home security installation in certain zip codes with a history of burglaries.
As a practical matter, if somebody has a 1/200 chance of being right when sounding the alarm, by the time something actually happens I think nearly everybody will have written them off as the 'boy who cries wolf.'
It's gotten better in TensorRT7. I'm using it quite successfully. It does have a lot of corner cases though, that much is true, and the documentation is really poor, which, coupled with it being mostly closed source, severely limits adoption.

That said, I'm getting ridiculously good performance with it, even without using the TensorCores.
Yeah I went back to good old expert written books after years realizing that a lot of content on the internet, that is not paid for, is opinion and drivel and cannot be trusted.
> Eventually she tells me the code doesn't work the way I think it does, and as such my change is much more complicated to implement, will require a major refactor, etc.

Technical debt is a hell of a thing.
So essentially sleep sort in actual practice?
> These days won't come.

These days are already here. My TCL bootloops if it doesn't have an internet connection to download ads from, and if you call support, they'll happily walk you through getting it connected to the network.
Michael Pollan writes in "How to change your Mind" that the placebo often is some drug which causes some mild dizziness - can't find the name of it.
While it's encouraging to see a relaxation of attitudes toward drugs in general, and some degree of acceptance by medical professionals, I take exception to the idea that professional head-shrinking is required for benefit. Some people are helped by clinical psychology and psychiatry. Many people would do well to avoid all psychoactive drugs without oversight and guidance from a trained professional. But many of us have been self-medicating for decades and we're well aware of the benefit of burning a joint after work or going on a canoe trip with some mushrooms. Such an approach is still stigmatized by many mental health professionals. It takes a huge ego to think you've got a monopoly on managing my mental state for me.
For steaks I heat my cast iron up and drop it on the skillet, just a few seconds each side. I use the broiler for odd shaped stuff like ribs.

I know a lot of people use a torch, but personally I like the skillet. Seems less fiddly and generally faster for a steak.

Maybe I’m just paranoid and missing out on some flavor but I don’t cook anything other than fish below 135F to kill any bacteria. https://www.amazingfoodmadeeasy.com/info/sous-vide-safety/mo... (Update) I’ve seen other reliable sources suggest 130F for 2+ hours is safe.
Billboards last few months? While everyone was inside?
Feels like a bad approach..
There is a LSP plugin for IntelliJ but it is not very stable.
But that was not my point: maybe I'm spoiled because I'm coming from the JVM universe, but I don't agree that ghcide installation is easy.
For me, "easy" means running an installer or invoking homebrew, and continue being productive.
In the US that won't affect your warranty for SIM-unrelated issues. And most other rich countries have stricter consumer protection laws.
Assuming this is the DRSSTC design I am familiar with it uses solid state switching with audio modulated interruption. The drive waveform is pulsed, the resonant frequency would typically be not significantly above the audible frequency range, and there's typically a few cycles of attack with active drive then several cycles of decay without active drive. There will consequently be a decent amount of smearing of fast notes and harmonic distortion but the interruption frequency shouldn't be sliding or anything.
I don't work directly for insurance companies so I am not a good judge of what jobs will be around. I would expect that any job that deals manually with claims--line entry, price evaluation, even fraud detection--will decline, maybe a lot. However, I don't see them going away entirely--there are just too many anomalies and the data you're dealing with is too dirty. That's not sticking my neck out too much; you can say pretty much the same thing for any broad industry. :)

I assume that Lemonade is banking on doing away with almost all manual processing so they're ideas are different from mine.
where is the proof, none of the researches that are mentioned are publicly available on the internet.
Yeah, the "O" stood out to me as objectively wrong as well.
I didn't want to get into a game of who has been most wrong, because that will automatically trigger people to go back to their camps and hunker down. I agree that the "isolate the vulnerable, continue with life otherwise" is most likely the best outcome. The fact that this idea is attributed to the right is going to mean it is DOA, for the most part.
It's a good and fair question, and it's one you can answer by looking at their loss ratio trajectory.

You expect to see it really high in the beginning (while they're learning how underwriting works), and to logarithmically decline over time, tending to plateau somewhere reasonable. That's what their loss ratio trajectory looks like, so far.
Absolutely. It’s question everything. Not question everything and replace the explanations you don’t like with personal, gut-feel views.
> when there is some news cycle and [the front page does not reflect it]

Political news is discouraged by the site guidelines and quickly flagged by users without mods' intervention (source: I'm one of these users). If I want the latest Trump nonsense, I can go to MSNBC or Fox News or Colbert or whatever. I'd rather have more stuff on the front page which we can have a (mostly) constructive conversation about.
Adding backends for TensorRT, ONNX, JAX, etc are on our TODO list (and we'd love to see PRs to add support for these and others)!

We actually do use TensorRT with several of our models, but our approach is generally to do all TRT related processing before the Neuropod export step. For example, we might do something like

TF model -> TF-TRT optimization -> Neuropod export

or

PyTorch model
-> (convert subset of model to a torchscript engine)
-> PyTorch model + custom op to run TRT engine
-> TorchScript model + custom op to run TRT engine
-> Neuropod export

Since Neuropod wraps the underlying model (including custom ops), this approach works well for us.
Also touchpad drivers are all just plain garbage.
I like that!

"Novelty Budget"
What makes craigslist look like shit? It's boring sure, but it doesn't look like shit. Many designer portfolios I see with hideous colors and abstract out of proportion illustrations are much worse looking than craigslist.
>This is because leaders on the left and right have refused to respond to new data, and are working with the same plans set in March.

As the article somewhat loosely implies, the problem is that all new data becomes suspect when all of our institutions are openly politicized.

You think these biases only exist with respect to COVID? The marginalized right (consider the viceral response you're about to have to reading these next sentences) has been saying the same thing about academia for at least a decade. That goes for climate change and much of modern psychological theory. And no, these aren't extreme far right Nazis/incels as people like to stereotype, these are near center moderates, these are (typically in the minority) doctors, scientists, engineers, this is the so called silent majority that is denied a voice on most modern platforms. And part of the reason that our society is gridlocked is that the majority has decided that this minority is not allowed a voice because in a one dimensional two party system one side falls closer to morally repugnant views, so we throw the baby out with the bathwater.

Our institutions are collapsing because actors are no longer operating in good faith. And those in power believe there are morally justified in suppressing opposing views.

Edit: and I'd like to add, another contribution to gridlock is the tendency for black and white thinking that at this point I'm starting to accept is extremely common human nature - there is a world of nuance between criticism and outright denial that is inevitably ignored almost any time someone expresses criticism for, say, climate change resources or the media (explicitly not scientist) derived predictions.
That is super weird and looks like it's a Japanese-ism only: Chinese has no such difference: https://strokeorder.com.tw/%E5%8F%B3.html
Node.js: TLS session reuse can lead to hostname verification bypass
This is pretty insane, it's just 5 years old!
Definitely a small risk, but not an extreme one.
Two documents pasted together?
Disturbing. When you cannot even trust your own health-care system and government to even have the ambition to safeguard your sensitive data. What are citizens supposed to do? It’s tragic how democracy have been so deeply undermined by private interests. This is not how it was supposed to work. Truly a disgrace.
This is what is compelling, to me, about DDG. It isn't the profit that bugs me about Google, it is the data collection. It isn't even that I think Google is doing anything nefarious with that data, but the difference is that I'm giving something to Google and not to DDG and DDG's results are good enough to not warrant giving Google anything (i.e. DDG works great for >90% of my searches).
In the same way a self-signed certificate doesn't need to be signed by an official root of trust to be useful for authentication, a self-signed Personal CA doesn't need to be signed or cross-signed by another CA to be trusted by a server.
Would explain why I'm eating a bowl of cereal at 9PM nowadays...

I would encourage people to see friends at a distance whenever possible. We must remember to balance our mental health (greatly affected by seeing others) with our physical health.
I remember some weird little black box with a red button my parents had between the cable box and the wall coax. I wonder if that was it.
Is https://modernistcuisine.com/mc/the-maillard-reaction/ better?
I've very much started to trade expediency for limiting dependency. Of course, since I have to reinvent the wheel, some claim that has many of the same costs as any dependency. But since the code use is all in-house and doesn't have to satisfy the needs of a very broad user-base or too wide a spectrum of use-cases, its not much of a problem at all, compared to finding that your code depends on something someone else supposedly maintains, but doesn't really, or who decides that backwards compatibility is not terribly important.

All kilometer-age will vary, of course.
Understandable. Partisanship is the scourge of our generation.
The Video Game Industry Has No Clue How to Respond to Protests