skysight-inc/HackerNews huggingface dataset:
There will be no real progress before everyone agrees to unfuck everything Einstein fucked up.
This completely different from EPYC (and the Xeon Phi). The x86's present a single coherent memory image and lots of identical CPU cores whereas this one doesn't. In some aspects it resembles a Cell processor, with the difference that the "SPUs" (the tiny in-order cores) have some direct access to the main memory and are mostly binary compatible with the "PPUs" (the five large RISC-V cores).
Ask HN: Corporation Structure for Distributed Team
Anyone on HN familiar with setting up a corporation structure for a distributed team?

I have some general questions in terms of where should the "HQ" be, how will the team be paid and how will we be taxed.
My experience with highly priced BMW left me with the impression there is no real difference anymore unless someone thinks having knobs and buttons everywhere is a sign of quality. BMWs can be nice, but they (at least mine) have had some persistent issues.

Sometimes I get the feeling, people think e.g BMWs are better because they are BMWs. Audi fans are also especially fond of their 'quality' even though this is highly subjective.
I've looked at k8s a while ago and it looked insanely complex to me. Maybe it's one of those things that you need to look at several times to understand it?
> you can easily write dozens of megabytes

I meant to add per second.
You said it quite clearly, Fortune 10, which rules out 99% of all companies out there.
When was the last time an experiment had a result that wasn’t explained by theory (supralumimal neutrinos aside)?
Don’t fall for this traps.

Never trust a government launched projects which try to disguise itself as good for society and turn it into a tool against the citizens themselves.

For example India launched Aadhar for having identity of every Indian, but it was not enough now government is working on another project called National Population Register (which started in 2010 before aadhar was available and is unnecessary today), which will be used to issue another identity card and it will be at government discretion to decide who is the citizen of India (survey question for this asks the religion or ethnicity of the person according to rules framed by current government for NPR). It’s controversial and government of India is repeating copy of same statement what aadhar was designed for to determine and provide benefits to Indian citizens.

On the surface Indian government monetary agency says it will be on people’s consent on the other hand Government of India is launching another program to force every details of Indian citizen stored by companies like internet service providers, google, Facebook etc. to be accessible to government agency in India without users consent. Indeed Mozilla launched a campaign in India to get clarity on it, as it is happening in closed corridors of power without Indian citizens consent or knowledge.

Combine whole online history with each and every financial transaction and credit history and give it to government agency. It will lead very quickly to a dystopian world and there are example of governments in world already doing it. China can ban its citizens from travelling, buying daily necessities at a click of a button. USA can imprison anyone for even an unproven offence in many parts of the world like the way an executive arrested in Canada or American citizen kept in Guantanamo without trial or due process.

I hope there is a movement that government should be restricted to serving its citizen instead of ruling and controlling them.

Based on what I have seen so far only rich and powerful with resources thrive in autocracy, communism or democracy, for general citizens any remedy is costly and they will suffer even if may get some relief in the end it might be too late. If government becomes all too powerful as it is happening everywhere in the world now, dystopian world where rich and powerful rule the rest is not far away. (Government trying to become more powerful everywhere these days by taking away privacy rights, asking for unfettered access to financial and daily life, use them to restrict citizens).
I feel this is a very small part of it. There are many legitimate reasons to short Tesla, including execution problems, car maintenance support, increasing competition, their poor self-driving software. And it could go on and on. Tesla, lets face it, is a cult stock. If you believe in the valuation, that's fine, but there have been plenty of bubbles over the years and especially recently (bitcoin and weedstocks come to mind), and Tesla would not be the first item driven to loft valuations based on unrealistic expectations.
Idea of a Pear
Er no. It was the fact that the govt gave the Tusk ~$2bn of free money (and when the money was running out i.e. it really changed the narrative around the stock).
Does that work? I’d imagine it just strengthens their brand until someone takes it to court.
Vault replication across multiple datacenters on Kubernetes
Doesnt that chart show that short interest has decreased quite a bit since June?

There are still plenty of shorts though.
If it becomes cheaper to re-use or recycle than to throw away—in theory—we will reduce wastefulness and come up with better ways to deal with our problem.

But, humans being humans, some will start dumping illegally.
The Most Influential Papers on Deep Learning in the Last Decade
When cattle are sick, you need to heal them. Not shoot them in the head and bring in new cattle. If you your software behaves badly you need to FIX THE SOFTWARE.

Just doing the old 'just restart everything' is typical windows admin behavoir and a recipy for making bad unstable systems.

Kubernetes absolutly does do strang things, crahes on strange things, does strange things and not tell you about it.

I like the system, but to pretend its this unbelievable great thing is an exaturation.
Show HN: rqlite v5.1 adding read scaling to SQLite and Raft with read-only nodes
>The problem is that none of the Bayesian methods for machine learning work well and quickly (please do correct me if I'm wrong--I will become my boss's favorite person). If they did, many many practitioners would be very excited to use them.

There are loads of methods based on variational autoencoders that seem to work fairly well for various problems.
I do wish people wouldn't say "valuable" when they mean "expensive".
Anyone remember Volkswagen shares at 1000€ in October 2008? This was a textbook example of a shortsqueeze. One German billionaire saw that the share value was at a ridiculous high level, so he shorted it. He was correct, but too early, so he lost all his money and committed suicide.

https://ftalphaville.ft.com/2018/10/31/1540962002000/The-day...
> For all that Quillette seems to dislike professional victims, they appear to have published one.

That's basically all Quillete is. It's "contrarian" by definition, which leads to a lot of similar complaints by authors across the site.
Looks like they're doing something proprietary. Dell sells a USB C adapter and calls it 130W: https://www.amazon.com/Dell-130W-Type-Adapter-Compatible/dp/... If you look on the side it lists 20V with 6.5A: https://images-na.ssl-images-amazon.com/images/I/61%2BsdanUp...

Discussion: https://twitter.com/USBCGuy/status/1073833717171335168 https://www.dell.com/community/XPS/Dell-XPS-15-9570-USB-C-ch...
While the point can be made that using something complicated is a form of lock-in (K8s in this case), I think it's also a case where the proper use of specialized individuals or roles (a DevOps engineer) frees up developers from needing to do things they aren't good at (like configuring/managing K8s). This isn't to say there won't be devs who can't function in the DevOps role or can't figure it out, but freeing them up to focus on delivering business value while someone else worries about operational details will get you both high throughput and the agility to not rely on a particular cloud provider for their flavor of managed infrastructure.
The word prototype is important, and the phrase is probably supposed to invoke EPCOT.
Isn't it more likely speculation on future stock price than a belief in real world performance? People can pretend it's due to diligent research resulting in a confident position that Tesla will come out on top, but that sounds more like someone trying to create a narrative rather than admitting a lot of people are gambling.
In the long term, you can’t fight the balance sheet and income statement either. As in a Ponzi scheme, you simply run out of “greater fools.”
I've had my 3 for a month. You can tell it was built "minimally" so that it can be affordable, but the interior doesn't feel cheap. The driving experience is amazing, I never want to go back to gas cars now.
I think whether it is unfair would hinge on whether it is true that the thing isn’t a “recommendation”.

I have no firmly held answer to the question of whether it is.
Here's what you're missing... Most of the major automakers: Ford, Toyota, Honda, Nissan, Mazda, etc do not have viable business models in the near future. They are so far behind in sustainable transportation its only a matter of time until they lose their economies of scale and are no longer viable businesses. It's an "Iphone moment"... the other car companies have great "flip phones" right now.
My wife has a model 3. I have a BMW 535i. I used to love my BMW. Now I beg my wife to drive the Tesla, because the BMW feels like a clunky dinosaur. I agree that Teslas are generally not the most beautiful cars, but the torque, the handling, the software-driven features, and the lack of gas station stops makes up for it, and more. Oh, and as a software guy, the self-driving stuff is really fun to watch evolve.
AI Listens to Panda Love Sounds, Predicts Mating Success
I'm a user of Alteryx and had never heard of Asteryx. haha.

Alteryx is definitely high-priced. It's enterprise software and priced that way. Which sucks if you're on a budget.
It's illegal, and it's totally been used.

https://www.pbs.org/wnet/need-to-know/opinion/wells-fargo-se...

That was the instance they were caught for mortgages, but it's happened infamously and recently in auto loans, farm loans, and business loans also. It's unlikely that covert discrimination wouldn't then extend to student loans.

While that likely phenomenon is hidden, what does happen out in the open is that interest rates are higher for people who live in majority-black neighborhoods, which also correlates to a higher default rate. That means one of two things. The intent could be to discriminate against black people by suffusing the loan terms with America's general distrust of black people (and considering the history of racism in lending across all loan types, I don't doubt that this is the case). Alternatively, non-black people in majority-black neighborhoods might be subject to the same high rates; in that case, direct discrimination isn't taking place, but it shows that the banks are setting rates knowing that they'll result in higher interest payments and defaults.

Unfortunately, there's no way to know because the banks refuse to reveal their formulas or allow matched pair testing.
Thanks for the article, very insightful!
As is the case with Apple, Tesla is a cult and obviously Musk learned from Steve Jobs that cults beat facts, cults create empires and make bad as equal as good and sane people can do nothing about it. That's how the great empires and religions were built in the old days and that's how "great" companies are being built today.
My servers are named after my pets and I'm not ashamed to admit it!
I'd rather have been paid my full comp and then laid off to look elsewhere than have half my comp pulled out from under me.
Said skeptics are blissfully unaware of the contributions that working on string theory has made to other branches of physics and mathematics. To say it's produced nothing is to admit ignorance.
No, play this date-picker mini-game right now, or YOU SHALL NOT PASS
Up until the Sacoolas case, the US hadn't denied any UK extradition requests but the UK had already denied 10 requests, so that would be an interesting position to take.

(Source https://uk.usembassy.gov/our-relationship/policy-history/the...)
> Tesla does a lot more in-house, which adds to the
> valuation, whereas the existing companies will buy
> a lot of their parts and/or contract out work.

In that respect, they remind me of Apple. However, I thought cars and their component parts were considered to be commodities. Are investors now arguing that not having hardware design know-how is going to hurt the big car companies?
Given the Quarterly losses of App based car rides, there is no cut and dry answer to this. May be this is a right time to buy a Cab company.

Because sooner or later - Uber and Lyft want to turn profitable, then there is a margin in certain markets where Taxis will not only be competitive but probably cheaper.
The "pioneer of Crispr" got 3 years for endangering human lives, which is pretty much a slap on the wrist. I would've done more, and I'm one of those "bioengineers" you talk about. Unsanctioned human experimentation isn't something we should applaud.

As for animal experiments, they are not nearly as difficult to get going as people think, SOPs for mice take a month on average to get approved in my experience. The vast majority of my dislike towards animal testing lies in the realm of cosmetics, not animals, and I'm sure most people would agree. Even so, the trend in research now is to move away from traditional animal models to organ-on-chips, simulations, and other human substitute models.

Finally, Biology is SLOW. You haven't seen a "unicorn" because an MVP for a biotech company in therapeutics is 10 years away from when it starts needing funding, in a lot of cases. There are very few options for series A-B funds to fill the gap between seed and revenue stages for biotech startups, which is why licensing and partnerships between researchers and industry are the predominant options seen today, alongside the traditional NIH/DARPA/NSF funds.

Maybe I'm biased because of my location (huge Biotech hub) and affiliations, but anytime I read complaints about biotech and medicine from software devs it reads like ignorance from people who are used to "moving fast and breaking things".
Gotcha, I can see that analogy making sense.
Car companies have years of office politics that impact their ability to see the future. I think this has clouded their judgment. People are rooting for Tesla. The gas industry has propped up the short sellers and now the ones that have the money are the ones that believe climate change is real and that Tesla is apart of the solution. New technology in batteries, automation, AI, etc is driving Tesla not sales of the car. That’s because Tesla is a tech company not a car company. How much data have they collected for their autonomous driving?
>From my seat, that really remains to be seen. The existing companies don't seem to have found a way to compete with Tesla's EVs yet. They may get there eventually, but Tesla has it now.

This somewhat reminds me of BlackBerry. They're basically the only game in town right now, and thus maintain a market advantage.

However as larger companies shift to EV's as the technology matures how will Tesla be able to maintain its advantage and market valuation?

Should the VW group, Toyota, or the Renault–Nissan–Mitsubishi Alliance decide to go all in on EV's will they be able to produce something akin to the iPhone to Tesla's BlackBerry?
> You may think it’s the future, but to justify such a valuation over all other car companies which have been operating for years

Operating for years is a cost, not a benefit. TSLA can hire all their most experienced engineers, without the cost of paying pension benefits to their former employees. It's the same playbook that JetBlue used to beat the existing airlines, by poaching pilots from other airlines without paying for their training or funding their legacy cost structure.
> BTW, learning Kubernetes can be done in a few days.

As someone who has deployed K8S at scale several times, this is nonsense. Learning K8S deeply enough to deploy AND MAINTAIN IT is a huge undertaking that requires an entire team to do right.
Sure, you can deploy onto AWS via KOPS in a day, and you can deploy a hello world app in another day. Easy.

But that only gets you to deployment, it doesn't mean you can maintain it. There are TONS of potential failure modes, and at this point you don't understand ANY of them. When one of them crops up, who do you page at 3AM, how do you know it's even down (monitoring/alerting isn't "batteries included"), how do you diagnose and fix it once you _do_ know what's broken?

Not to mention the fact that you _have_ to continuously upgrade K8S as old releases go out of maintenance in under a year. If you're not continuously testing upgrades against production equivalent deploys, you're going to footgun spectacularly at some point, or be stuck with an old release that new/updated helm charts won't work against.

TL;DR: If you can afford a team to deploy and maintain K8S, and have a complex enough application stack to need it, it's awesome; but it's not free in either time or staff.
Numerous well-documented cases of CIA misbehavior in the past has resulted in basically nothing, so my money is on "no".
Kubernetes, once you know it, is significantly easier than cobbling together an environment from "classical" solutions that combine Puppet/Chef/Ansible, homegrown shell scripts, static VMs, and SSH.

Sure, you can bring up a single VM with those technologies and be up and running quickly. But a real production environment will need automatic scaling (both of processes and nodes), CPU/memory limits, rolling app/infra upgrades, distributed log collection and monitoring, resilience to node failure, load balancing, stateful services (e.g. a database; anything that stores its state on disk and can't use a distributed file system), etc., and you end up building a very, very poor man's Kubernetes dealing with all of the above.

With Kubernetes, all of the work has been done, and you only need to deal with high-level primitives. "Nodes" become an abstraction. You just specify what should run, and the cluster takes care of it.

I've been there, many times. I ran stuff the "classical" Unix way -- successfully, but painfully -- for about 15 years and I'm not going back there.

There are alternatives, of course. Terraform and CloudFormation and things like that. There's Nomad. You can even cobble together something with Docker. But those solutions all require a lot more custom glue from the ops team than Kubernetes.
If the past is any guide, whenever reality isn’t adequately described by mathematics we just come up with new mathematics.
my friends and I were talking about all the shorts on Tesla back when it was really in full swing. My opinion was there's easier ways to make money than betting Elon Musk is going to fail.
His purpose is the next patient!

A better analogy is "once my doctor successfully advocates for better health habits and I achieve them, they are purposeless."
I'm not sure how another anecdote proves the rule.
I literally don't understand what you are achieving with your k8s raspberry cluster thing.
It was -5C in Toronto last night. This morning, I couldn't get into my Model 3 because the door glass was frozen. I got some hot water from the washroom and poured it over the glass and got it unstuck. Then I couldn't drive because the sideview mirrors were stuck folded. Got some more hot water and got them unstuck. Maybe the car is designed for California weather only, but in the winter i've had these types of issues. Other than that, its a joy to drive :)
I'm pretty sure it's at least as old as usenet and mail lists
Sure, there's some leeway in how these vague tests are applied. But just because one judge gave a generous interpretation it doesn't mean the law has somehow changed significantly.

If judges just abandoned it they'd probably be overturned by appellate courts.

I'm not arguing the injustice of it, just reinforcing the OP commenter's point: the law has not changed, and this ruling does not materially affect that.
Why not containers? They seem more efficient than VMs. ("Process with restrictions" vs "full operating system and kernel with repeated context switching".)
Lots of things have changed in cars since you born and their interfaces have hardly been perfected.

Namely things to do with phones like navigation, music, or phone calls. Not to mention things like improved climate control or safety (like the sentry system.)
Agree. Their customers are those who are making bank on the bull market run we've been riding. If the market should fall, Tesla will fall hardest.
Different countries transposing the month and day might have something to do with it.
Here's an example of a config system using prolog:
https://github.com/larsyencken/marelle

It's a hard to tell where marelle ends and the config begins, since it's all just prolog.
> The biggest change I would make to the Model 3 design is ditching the frameless windows and using normal door frames which are less complex (no need for the window to move each time you open a door) and easier to seal up.

It'd be interesting to understand why the window needs to move down to open the door. I had a 90's acura integra that also had frameless windows, and the door seal was engineered such that it flexed enough to allow you to open/close the door with the window all the way up, but (as far as I can remember) road noise and weather sealing wasn't a problem.
The quality on the 3 is fine. I've heard so many panel gap anecdotes and "fit and finish" problem that I was a bit excessive in my inspection of my Model 3 before I took delivery (November 2018). It was fine. There are no quality problems that I've been able to ascertain. The only real kind of weird thing is the polarized glass on the roof turns a really strange but beautiful color when it gets wet.

The car drives like nothing I've ever driven, not even a higher end mercedes.
I think the recent bump is because (some) investors are starting to understand that CyberTruck will not be a flop as widely predicted on it's launch. Again, meme-magic. If the CyberTruck was unveiled by BMW or Ford, the response would have been much more muted.
Show HN: HuggingFace – Fast tokenization library for deep-learning NLP pipelines
I think it's worth recognizing that this is a good first step in a hard problem. Hosting many TB of data for free isn't easy. Building an index on top of that data isn't easy either, and it looks like no such index exists today, but if someone decided to build that index they wouldn't need to worry about the hosting portion of the problem. That's a great starting point.
Redis Server-Assisted Client-Side Caching in Python
It’s just that every time it seems like they might be about to start to get stable they launch some new vehicle and we go through another period of ‘ramping up’. The older vehicles don’t seem to get stable even though the S has been out for years now. People use the 3 (or truck or...) as the excuse for why things are still a bit rough.