skysight-inc/HackerNews huggingface dataset:
There's a lot of research on using AI/ML with graphics. I've seen demos people have done using it to create HD remasters of shows originally in SD on tape or too-small film, or where there wasn't much interest from IP owners in doing it. Or where, once you expanded sideways, there was too much crew or rough set to use it.

Since Facebook is doing VR, and this position is about VR, I can easily see the potential of using ML to make the most of sketchy/low-quality models and textures people might want to use in worlds. Imagine if you could upload a rough model, describe what you want, and get it made for you.
Why the West Craves Materialism and Why the East Sticks to Religion
> This, and other instances of this scam make me not want to buy anything off Amazon ever again.

Agree. Our family has nearly weened ourselves off of Amazon. We do still buy from there occasionally, but for most things we don't.
Oh wow. Don't do this.

I have noticed multiple times that when I navigate to some documentation site brave shows this bar that page does not exist and whether you want to access it on archive.org. But the site below is perfectly functional.

I always thought that this was some weird server misconfiguration causing 404 even if content is available ... Never guessed it was a hack to enable SPA routing.
Here’s a bit more about the Rainbird platform for those interested…

The platform has two main parts:

1. The studio (an area where you can make visual decision-making models in a process similar to mind mapping)

2. The inference engine (which uses your models to automate decision making)

The platform is designed so that computer scientists and automation specialists can overcome the challenges of machine learning (in particular, our inability to stay in control of algorithms that find their own patterns in data) and RPA (in particular, a decision tree’s inability to juggle many variables at a massive scale). And that’s why we’ve focussed on two principles as we improve Rainbird:

1. Human-down structure: that is, we start with human knowledge and apply it to data (so that humans can always understand and explain what the machines are doing)

2. Non-linear automation: that is, we focus on capturing and codifying knowledge that can apply to multiple scenarios (rather than on steps to be followed in a one-off, isolated situation)
Again, we’re going in circles. Yes, society is better if everyone pays their taxes. But again, each individual is better off if they don’t pay their own, obviously. And I don’t blame people for legally paying as little as they can get away with if it’s just some loopholes in a Roth. Honestly, I could respond with the exact same comment as you replied to because there’s really no new material to respond to. Yes, I realise taxes go to national defence. What are you trying to pontificate to me?

At the end of the day you’re kinda pontificating fundamental morality? Mine is (roughly) me and my family > friends, people I know. > people in general > animals. Now with that rough framework, obviously an individual not paying their share of taxes (it being a drop in the ocean) while everyone else pays, it makes sense to take advantage of a Roth loophole. But again, it’s a rough framework because there’s obviously an extreme contrived scenario where you wouldn’t be extremely terrible to a lower ranked group in the framework to benefit a higher group only slightly (e.g kill 1000 strangers to be 1% richer), but I don’t think a Roth loophole is it. I’ve actually been consistent about this if you literally read my comments, but you seem to think I’m not. I also don’t know why you care at this point, as we seem to be clashing on fundamental values. I’m speaking for myself, and also human nature generally. Trust me, if people could legally exploit a Roth loophole this way, most would.
We kinda have to accept that - we don't have to accept this. You can't interface with humans but you can interface with one of the biggest corporate tech giants straight up leeching from explicitly public and free work for their own private benefit.
Most NDAs don't hold during trial. Also, you have to prove that it was broken, what was released, how, etc... none of that is easy. But people don't know/are scared anyway, so what the article describes does happen anyway.
A lot poorer than the US? I live in an upper-middle-class neighborhood, but I can walk in 20 minutes to a church that has a food pantry and serves dinners to the homeless. I think he should talk to the folks that clean offices and bus tables.
"You think these people prefer to shit in public?"

Yes I do. Shitting in a plastic bag is available to everyone. Peeing in privacy behind a dumpster is available to everyone. Taking any half assed steps towards public hygiene is available to everyone. I've seen a homeless drug addict stick the water fountain bubbler into his bunghole while he was washing his ass with it.

The same reason they aren't shitting into bags and throwing them in the trash, or peeing into storm drains, is the same reason they're homeless - addiction makes people into sociopaths.
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Why You Should Publish Your Creative Work Online
As far as I understand it, this kind of asynchronous callback based I/O was a hallmark of VMS's IO subsystem (1st release 1977...); and Unix's "get a byte, get a byte, get a byte byte byte" model was a major criticism that the VMS folks had about it.

https://retrocomputing.stackexchange.com/questions/14150/how...

So, no, I don't think you need to jump all the way to microkernel/message-passing (like Fuchsia) to get this kind of model.
Was there and advice or direction associated with this talk?
All we can do is call it out and fight back by being skeptical and asking for evidence. Hopefully we’ll prevail
What is the humidity when you try this? I am guessing dry and arid.
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After search, Algolia is launching its second product Recommendations API, giving you the ability to optimize across the entire product catalog.

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Sounds like you're already well on the way to "a new adventure with some real challenges" because you also mentioned your wife is pregnant. ;) But seriously, maybe wait till your 3rd little one is 2 or 3 before making any major career changes? I did a master's, it was well worth it for interesting parts of comp sci, and definitely opens some doors in terms of getting interviews. Not essential though. I did mine part-time. Not sure if its worth doing full-time as a more mature student.
That looks hard. More politically feasible might be a language I've unfortunately forgotten the name of, ordinary English but with some extra rules designed to eliminate ambiguity -- every noun has to carry a specifier like "some" or "all" or "the" or "a", etc.
I see that the opinion author, Pat Garofalo, wrote a book [0], and has a substack [1]. If anyone wants to get the gist from a different source.

[0] https://www.goodreads.com/book/show/40122067-the-billionaire...

[1] https://boondoggle.substack.com/
If you're in Florida, you don't even have to use the tap. Just put on a dry t-shirt and stand outside for a short while.
Yes! if you don't understand how something is going to be roughly designed/written then you're not estimating your guessing.
Here (20000km from Canada) on the radio climate specialist says "we don't know for sure if it's climate change at work, models don't agree".

My gut feeling is that if it is exceptionally high then model will hardly predict it.

Anyone here knows ?
The database as it existed before 1/1/21 would be protected. But I suspect any contributions made after that date won’t be.
Was it in fact that high of humidity in BC during this event? I think it wasn't, right? When I looked at Portland's weather on the day it was really hot there, the humidity was around 20%.
Chip+Pin is not really used in the US at all.

Chip+Sign is what we have here. I dont even know what my PIN would be for my Credit Card, Pin's are only really used for Debit cards but I almost never use my Debit card for anything at all.
I don't know how you can dispute that if you are trying to compute A where A = B/C and you don't have a fixed value for B, then you cannot know A with any certainty. We're distributing novel vaccines treatments which have had zero long term tests. We are all in the middle of the worlds largest vaccine experiment. The final results will not be known for years.

Particularly there are actually plenty of reasons to believe there might be lots of long term consequences. Especially for coronavirus vaccines:

- previous attempts to make coronavirus vaccines often made people more susceptible to subsequent variants not less through ADE (antibody dependent enhancement) where the virus uses the immune system to infect more cells

- long term testing used to be an essential part of vaccine approval, presumably not for no reason

- distributing multiple novel vaccines increases the chance that a harmful one will have been distributed (albeit to fewer people than just administering one novel vaccine)

- distributing a vaccines during (not before) a pandemic almost guarantees increased virulence (much like administering incomplete courses of antibiotics promotes antibiotic resistant bacteria)

- unlike other vaccines, the active ingredient - the spike protein - is toxic. The vaccines make your cells produce this protein and it accumulates in bone marrow and especially the ovaries. The long term effect of this is to be determined

- vaccination can make the immune system hyperfocused on a specific variant, increasing vulnerability against other variants

There is also the issue of accute vacine injury, but I'll not go into that.

Immunology appears to be one of the most complex systems to try and contend with. I'm not an expert, but I worry that the 'tentative analysis' may have not been sufficient.

Hopefully it was the right decision to vaccinate the entire western world with novel vaccines. Time will tell.
Microsoft should just GPL CoPilot's code and model. They won't, but it would fix this problem, I think.
While I think this will continue to amplify current problems around IP, aren't current applied-ML approaches to writing software the equivalent of automating the drawing of leaves on a tree? Maybe a few small branches? But the whole tree, all its roots, how it fits in to the surrounding landscape, the overall composition, the intention? If I'm wrong about that than I picked either a good or a bad time to finally learn programming. There's only so many ways you can do things in each language though. Just like in the field of music, only so many "Original" tunes. The concept of IP is incoherent, you don't own patterns (at least not at arbitrary depth), though you may be owed some form of compensation for the billions made off discovering them.
I think regardless of the stats, there is a movement of people wanting a better work and life balance.

But what will this mean for society?

For one, I see in the immediate future a bit of a reduction in commerce for a while. This is simply because people will have less money To spend. Duh.

Still… humans always persist and adapt.

Therefore in maybe 5 years there will be more of a Renaissance and a big change in how we work, shop and play which could be positive in unexpected ways since some people will learn to live with less.

Unfortunately though this will lead to a bigger segment of the population that won’t have enough to live on.

And the segment of the population that are “driven” to create will get richer serving that lower segment in innovative ways.

So the wealth gap will increase for sure. And probably pretty widely.

I know some of you reading this are getting triggered just about now…

But what else do you expect? I’d love to hear how the next 5-10 years would play out.

But it would be silly to say that so many people stopping work will not have some measurable (most likely negative) effect on the economy and what we normally expect from society.
That’s true. I like both movies.
Indeed, but it still seems more of a land climate even for cities at the coast, somehow.

I live in Barcelona and we rarely see snow here (if we do it's a slight layer one morning and gone an hour later), while in summer it gets up to 30 degrees roughly. The temperature range is about 10-30 average and 5-35 if you count the extremes. The weather is really mellow here.

When I see North American cities like New York on TV I'm surprised they have snowy winters and sweltering heat in summer, considering they're right at the coast. I heard Seattle is similar. But I'm not a climate scientist :) I've also never visited any of the Americas.

But this sure sounds extreme yes! I hope it will pass soon.
That sounds like a reasonable trade off.
But how many people are also going to be "highly experienced in the mobile graphics pipeline"? Isn't that also about ~10 years old?
No, but I think it's unlikely that anybody, including the NSA, can collect, index, catalog and parse meaning out of hundreds of GB _per second_ (I'm using Statista numbers for global IP traffic). I would be skeptical that it's even physically possible with any amount of hardware in existence. If you really want a concentrated haul of the most interesting stuff, then I would say that platforms which openly market themselves as safe venues for criminals and dissidents would be strong candidates. You would still have extraordinary data warehousing needs just for that limited subset of traffic.
That tends to be case in the northwestern US this time of year, so I’m guessing that’s true for BC as well. So, it seems like good advice to me.
Benchmarks and price/performance are going to start getting confusing now that cloud providers are selling a mix of vCPUs where some are real cores, and some are hyperthreads. Amazon's Graviton instances are full cores. I expected that since ARM doesn't have hyperthreads. But now Google is selling EPYC full cores as vCPUs with Tau. I would guess that forces the other providers to follow suit.
This goes into one of my favorite philosophical topics: John Searle's Chinese Room. I won't go into it here, but the question of whether an AI is actually learning how to code or simply substituting information based on statistically common practices (or if there really is a difference between either) is going to be one hell of a problem for the next few decades as we start to approach fine points of what AI is and how it could be defined.

However, legally, the most recent Oracle vs. Google case has already settled a major point: APIs don't violate copyright. And as Github co-pilot is an API (A self-modifying one, but an API nonetheless), Microsoft has a good defense.

In the near-future, when we have AI-assisted reverse engineering along with Github co-pilot, then, with enough obfuscation there's nothing that can't be legally created or recreated on a computer, proprietary or not. This is simultaneously free software's greatest dream and worst nightmare.

Edit: changed Hilary Putnam to John Searle
Edit 2: spelling
Does this mean that when I read GPL code and learn from it, I cannot use these learnings in non-GPL code?

I get it that the derivative work might be more clear in an AI setting, but basically it boils down to the same thing.
I think individual actions are not alternative to systemic changes. Certainly blaming individuals is not a good strategy.

But I agree that everything counts, including political aspect of individual actions.

We just can not feel good about ourselves because we don't eat meat, fly airplanes and avoid buying plastic. It's not enough.
Climate is a complex system of feedback loops, you shouldn't expect to see arbitrary, linear increases in temperature.
First of all, the other programming environment like it is Pony. Although that's barely a C-list language right now, very young, one to keep an eye on though.

I'd also cite the real technology I'd use today, which is a heterogenous set of services in whatever languages I'd like, hooked up by a high-quality message bus. This is the real technology that drives the at-scale Internet. You basically get Erlang's reliability out of that setup when used properly, and you don't need Erlang to do it. In fact you can get a touch more than Erlang's reliability because I find in practice 1-or-n delivery to be much more practical than Erlang's 0-or-1 delivery. It's basically the same enviromnent Erlang gives you integrated, except decoupled, and since all the pieces are decoupled, while Erlang has sat on the same effective point in this space that it picked out 25 years ago, all the decoupled components have been iterating and evolving over that time frame and are now better than what Erlang offers in its integrated package.

Second of all, if in 2021, around 25 years after Erlang and easily 15 years after Erlang has been generally known as a B-list language among language designers, almost nobody else has seen fit to copy it... maybe it isn't that great of an idea. Rust does something completely different, and in my opinion, strictly more useful, albeit at the cost to programmer complexity. I moved to Go from Erlang roughly 8 years ago, and I'm happier, because it turns out "general community good practices + channels" is fine, and also means I can go faster, and get a nicer language in the meantime. All the other modern languages are coming with some sort of concurrency story; it's table stakes for any language born in the last 10 years, if not the last 15.

For the mid 1990s, it was sheer genius. For 2021, it's a very brute-force, inelegant solution to the problem that nobody's very interested in copying. While in the 1990s concurrency was a nightmare and Erlang legitimately had a claim to a better solution, in 2021 there's a good 3 or 4 things I'd use before dropping back to Erlang as a solution. Concurrency is much less of a problem than it used to be, through a combination of various things, and the proposition of burning so much of a languages design budget on that problem is a lot less appealing than it was 30 years ago. Erlang really needs to adopt Go-like channels for some of what it's doing (not in replacement for the processes, but for some of the things they're not very good at), the ~10x slowdown for general logic is a real kick in the teeth in 2021, the lack of backpressure in the Erlang message model becomes a big problem at scale, and lots of other little problems I'd have if I had to go back to it. (Yes, I've been reading the release notes. If I weren't I'd have a couple more things to add.)

Erlang/Elixir/BEAM isn't leading the pack anymore. They're a cut behind in most ways now, but the community still thinks they are leading, ensuring that none of the lessons learned by other communities can filter back into the Erlang/Elixir/BEAM community.
Why would a rise of 2-4F on average increase record temps by 30-65F? I don't understand the leap you're making there.

Edit: to all repliers: I understand that the distribution is widening, but 150F is a far more extreme widening than I have seen contemplated by any experts. That is what I am reacting to. I do not dispute that heat waves will get somewhat worse.
Yeah, the graph shows measures, not averages. So it's quite worrying.
Kubernetes and Cloud Native Report 2021
This report contains data from 1200 respondents on hybrid and multi-cloud operations, Kubernetes, VMs, bare metal, goals, benefits, challenges, operators, advanced usage, edge, and more.

7 industry experts have reviewed this data and shared their commentary throughout the report:
Kelsey Hightower (Google), Ken Sipe (CNCF, Edward Jones), Alexis Richardson (Weaveworks), Michael Hausenblas (AWS - Observability), Tim Hockin (Google - Kubernetes Engineering), Karthikeyan Shanmugam (HCL), James Strachan (Cloudbees - Jenkins X).
Worked at a large bank and saw /worked on a few interesting projects.

Obviously a lot of work on trading. One group of market makers had an RL agent built that would trade small sizes. The value here wasn't in profitability, it was that it freed up the traders to serve larger tickets while being catering to a broader swathe of the market.

Another group dealt with underwriting commercial loans. In that process, borrowers submit hundreds of documents that need to be classified (This is an architects license, this is a pest inspection report ... ). The data was too varied for simple heuristics, but fairly straightforward NLP eliminated a good chunk of work.

If you extrapolate, a lot of the problems I've seen "the average" (not Google) company solve with AI is optimizing an internal process, as opposed to making a new product offering. So "huge success" these were not, but they were successfull. I think that for the average company, expecting "AI" to make a "huge success" in terms of business impact is often a sign of weak product thinking.
In the office where you worked. In the office where I work there are zero. Classification levels don't really matter. It is about the nature of the information. Some is simply never shared with non-employees. Some isn't shared with people not wearing uniforms. Well, excepting one or two non-uniforms but they are still government employees.
I think from a fanicial perspective this is because salaried (or salary like) positions are sort of illiquid. Kind of like houses, moving is a pain so people often do not want to sell unless the profit is significant.
RV's & trailers are right @ 120sq ft usually. Pick 1 from any of the few manufacturers and enjoy life.

There is even such a thing as a "destination trailer": https://www.keystonerv.com/rv-type/destination-trailers

which almost exactly describes what you are looking for.

Price: $30->50k brand new. Used models cheaper.
Fort McMurray, latitude 56.7° N and a subarctic climate, is forecast to be 106F / 41C today.

The combination of heat waves and fragile power grids (e.g., Texas' ERCOT) seems to make it inevitable that a heat-induced large-scale power outage will produce a mass causality event.
Feasible, but in a naive sense. much sk

The number of people working in "those areas," defined narrowly, is much bigger than it was eight years ago. That makes this a big requirement. People who are skilled, deep or enthusiastic enough to make that 8 years experience better than 4 are not likely to just show up, while also ticking the other boxes. Narrowing the pool past a certain point is a different type of problem.

In any case, these aren't to be taken to literally.
That actually sounds like a better idea than me dousing myself during a run. But then again, I wouldn't jog in this heat. My cap for outside running is about 95*F here in the midwest. If anyone wanted to know my cold temp it's about -25*F including wind chill.
Sound great. Looking forward to getting one!
deeply depends on what you want to do with it and the knowledge you might acquire.

If you want to go towards the business and/or management side of things an MBA might make sense. But for a developer an MBA would be very strange on a CV.
Yeah, even if these are still freak events on the edge of the bell curve - they only need to happen once to kill huge numbers of people.

And we are shifting and broadening that bell curve.