skysight-inc/HackerNews huggingface dataset:
On a number of fronts, I appreciate this.

When I was first assessing whether to get into Go, and as a team lead whether it would be fit for future efforts, some of the questions answered on this site were some of the first I queried to see if the investment was worth it i.e.

Why would I use this?
Who is using this?
What are they using it for?
If I introduce this to my teams as a potential member of our stack, am I introducing something that will be niche and hard for others to pick up and maintain, or will this have multiple applications and thus foster greater adoption?

I obviously could find the answers elsewhere and have since chosen Go for a lot of cases, but a clean one-stop-shop like this for others to look to, or be pointed to, when they first hear of the language is valuable (from my experience, and in my opinion).
I wonder what they would pick if each had to choose their weapon
I have the same feelings as you. I LOVED Rogue One though. It definitely brought out the child in me.

Side not, smuggler's run did the same thing. I triggered my inner child.
Software engineering is pretty darned difficult. But it turns out that there are also plenty of difficult-but-poorly-paying fields. Journalism is one of them. GP is absolutely wrong that a bunch of software engineers can stand up a decent news reporting org.
No previous president has been such a liar.
Musk actually has credited Carmack's Armadillo Aerospace with providing the inspiration for vertically landing the Falcon 9. Of course Armadillo was likewise inspired by the Delta Clipper, which was in turn inspired by the LEM, etc. But it's one thing to vertically-land a rocket a few times when you have billions of dollars at your disposal; it's another thing to do it hundreds of times for a thousandth the price. That was Carmack's contribution: proving that vertical landing can be both incredibly robust, and cheap as chips. Really valuable work.

I had the pleasure of meeting Carmack a few times over the years at small aerospace conferences. He's both as true a geek and as much of a gentleman as you might imagine. I'm really looking forward to seeing what he does with AGI.
The idea that our skin is permeable to smells seems really weird, but there have been a number of documented cases where pets seem to detect similar sicknesses in their owners.

Part of it is I don't think we realize how weird and sensitive smell is even for us. Imagine the world through the nose of a dog or bear.
If possible, I'd be interested if you could expand on your point regarding RenTec and TGS hiring from completely different areas of science.

Speaking of Edgestream, are there any other successful funds started by RenTec alum? I know of FQS and Merfin, I believe Merfin has been absorbed by Edgestream at this point. Similarly, I asked this question in a prior thread recently but are there any successful offshoots of Thorpe's Princeton/Newport or TGS?

What are some smaller funds of high caliber that little is known about, if you're willing to say?
> If the latter, which open-source developer has died the earliest?

Can we just take a second to appreciate how downright inhumane copyright expiry is? It basically encourages cheering for people to die because of copyright expiry.
Personally i think the frustrating thing here is that it sours the pool for others who are interested in medical innovation that requires data.
I believe that they exist. It's just Venice ranks shockingly low on the list of cities I would like to live in given it's cultural and historical significance.

You say there are other priorities that make Venice attractive -- like what? You still haven't made that clear. The nice parts of the city are completely given over to tourism, the hidden corners feel abandoned and listless.
I can see where he's coming from. He's in the unique position where he can work on whatever interests him, he has the mathematical background to absorb all this knowledge. I think a big part of this is that he's worried about his age catching up to him and disabling his ability to make any meaningful contribution. One thing to note is that he's going to loop his son into his research.

The creation of synthetic intelligence will be a result of multiple distinct breakthroughs. The more people with unlimited resources and high creativity working on this problem, the more likely those breakthroughs will be made.
the issue is practicing political activism
for your own pet cause in the workplace on
company time

I agree, but that's not remotely what was happening here.
>Details of how the breathalyser systems will work are yet to be revealed but it is thought they will be aimed at tackling repeat offenders.

That doesn't make any sense. If it's aimed at repeat offenders, then why are you putting on every single car sold? Put an aftermarket system on cars of repeat offenders. Or, better yet, if you are a repeat offenders, revoke their license permanently.
These two things have a strong positive correlation. Marketing teams don't become happy just because you get a newsletter. They become happy because you engage with the brand and the brand makes more sales. Which in turn makes for more profits.

Making people jump through hoops to stop the barrage of spam certainly means your users will be engaged. But it also means they'll be unhappy. Which in turn makes for fewer profits.
don't forget the API https://www.bonequest.com/api/v2/episode/2851
As long as they're actively using it, I don't see the problem. If someone is squatting on a domain without using it, that's a different problem and should be handled in a way that doesn't punish legitimate users.
> Hopefully someday we'll have some kind of tricorder device that can identify disease processes by gas/scents/smells.

It can hasten the process of identifying these chemicals if people with such a sense of smell present themselves to researchers. To me that's the most important takeaway of this story. Unfortunately, most articles reporting on the story bury the lede as the fact that people can smell disease draws more attention than what they're smelling, and that researchers either didn't seriously consider there might be such a chemical indicator or didn't know where to start until they had access to a super smeller.

This sort of diagnostic approach isn't new. Once upon a time doctors would taste urine samples! It just fell out of favor because machine and chemical tests are more reliable and consistent. But if you're not drinking other people's pee on a regular basis, or running a large scale, shot gun experiment (like a super smeller spending decades learning scents), initial discovery of such markers can become more difficult.
Try this article instead. You wouldn't think they were talking about the same law. Totally different story.

https://news.motors.co.uk/news/all-new-cars-to-require-breat...

All new cars will be required to have the wiring, but the actual breathalyser will only be installed for drink driving offenders.

The speed limiter will also be voluntary and have an override allowing you to go over the limit in an emergency. My issue with it would be how it works as there's nothing worse than people using their brakes to slow their speed on open roads or motorways.
Strongly agree with this.

One thing I’ll mention is that this is true both at the very early stages of a ML project, and even when an ML project is scaled up and in production. Oftentimes, the data pipeline is the true way in which a model will improve versus anything else, so it’s pretty critical that these data pipelines are setup to get an initial dataset but also to scale properly.

It’s one reason I started Scale (scale.com). It was viscerally clear that the real bottleneck to ML was getting the needed data, and in our case, annotating that data appropriately. It is very heartening to hear it echoed in this whole thread that data is very clearly what “matters” for ML.
I am not convinced current AI is the approach to an AGI. I think it is at least feasible someone outside of this sphere has a reasonable shot at it. It feels like many AI researchers get caught up in refining existing techniques that amount to fancy statistics algorithms and data crunching, but not AGI. Current AI techniques may be synthesized or used in part in some AGI but it’s clear there is a revolutionary step to be made. Kaggle is almost just an optimization fest, and not really advancing towards AGI.
> The real headline is that VR is finally confirmed to have hit a major roadblock. If John Carmack gets frustrated with its progress, there's something up.

This was the (loud) subtext for me, too.

Carmack doesn't strike me as the type of person to walk away from a problem lightly. Given how many problems remain unsolved when it comes to VR, I wonder if he's just admitted that it will never be the endgame he wanted it to be.

Cash-wish, he's obviously sitting pretty. Better off spending your remaining years working on something you can make a meaningful contribution towards.
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I agree with you. But what I'm saying is that this has societal impacts that we actually have to consider. A job's description drastically changing within a short period of time (i.e. a small portion of someone's career) is extremely disruptive. We should be having conversations with how we as a society are going to deal with these issues. (I don't think we should stop the march of progress. I don't think we even can -- short of a nuclear war)
It's clearly not about space. Old SSH keys are a security hazard. Even moreso keys you aren't using anymore and therefore may not be particularly careful with.

Heck, even in this very scenario, if I haven't used an SSH key with GitHub in many years, and then GitHub receives an artifact signed with that key saying "I lost my 2FA token and backup codes, please reset account auth so I can log back in", I very much do not want GitHub to trust that artifact. If I haven't used the key in years, that probably means I don't have it anymore and either never got around to removing it from GitHub or forgot it was there.
Im more curious as to how they were found: can not even the richest of persons be completely secretive of their money?
Because when you objectively analyze it, they don't have anything close to a monopoly on content.
The own their wealth jointly. There is no 20x different in net worth. In a community property state, any wealth made during their marriage is shared. For example, in divorce it could be split equally between the two.

Again, DHH is not 20x richer than his wife. They are equally rich under the law. (Excepting any money that DHH made before the marriage, which, given that it was a long time ago, is likely a small part of that wealth.)

This all came up recently during the divorce between Jeff and MacKenzie Bezos. Amazon started after their marriage, and since Washington is a community property state she was entitled to 1/2 of their shares in the divorce. It wasn't that Jeff was 10,000x richer than MacKenzie was.

Please note the subtle distinction between what you wrote: "They claim they don’t know the person’s gender." and the additional qualifier GS used "during the Apple Card application process".

They very likely know that she is a woman, and married. Their statement is that those aren't considered during the application process.

Thus, it's possible that I am not wrong, and that they are not lying.

They don't need to know one's gender or marital status to violate anti-discrimination laws, so I don't see the point of discussing that detail further.
> I.e as a merchant I can easily integrate Apple Pay as an available payment option in the same way as others, but as a customer I can't use Apple Pay unless I'm using Apple sanctioned devices/software and have an Apple account. Other commenters mentioned it only working in Safari, and according to Wikipedia it only works on Apple devices.

Yeah. It is called the Apple ecosystem. Don't like it? Don't use it. I personally have been very satisfied with Apple so far.
Sure, that’s the reason for including the 3rd-party timestamp AND for keeping the device signing keys on a separate secure chip. The idea is to say “these images/sounds were recorded at this time by this device,” and to have that statement both registered publicly at the time of creation and backed by the reputation of the device maker.

It’s acknowledging that using AI to catch AI fakes is a fool’s errand, and relies instead on the premise that hashing a raw data stream is much faster than producing a good fake, and that a secure device key is secure. You’d need both for it to work, otherwise you can generate a deepfake beforehand and get the device to sign a fake stream. That may be easier to do than I think; this is not my area of expertise.
At Scale (scale.com), we strongly believe that the “open-source” alternative to this is pretty critical.

We’ve built this index for autonomous driving datasets (https://scale.com/open-datasets) and are building that out for other domains right now.

Open source data has been a pillar to progress in ML (starting with ImageNet). It should continue to be the case that data that enables researches is sufficiently democratized.
He made it cool to drive an electric car.
8o% of electricity generated in the world comes from steam turbines. It's not used only in nuclear reactors.

Steam turbines have very high operational efficiency and they can be installed in series. You can build them in MW scale unlike gas turbines and you can couple them direly into the grid. When coupled with nuclear power they typically operate at 1500 RPM.
The nostalgia factor of these for people who owned one years ago, and are now earning enough to waste money on one will be high.

Not going to lie, I want one, even though I appreciate my Pixel 3 camera nearly every day, and this has a rubbish camera.

It is good to finally see some innovation occurring in the Android hardware space however, although it remains to be seen how the software will cope.
I've long taken the position that intelligence is mostly about getting through the next 10-30 seconds of life without screwing up. Not falling down, not running into stuff, not getting hurt, not breaking things, making some progress on the current task. Common sense. Most of animal brains, and a large fraction of the human brain, is devoted to managing that. On top of that is some kind of coarse planner giving goals to the lower level systems.

This area is under-studied. The logicians spent decades on the high level planner part. The machine learning people are mostly at the lower and middle vision level - object recognition, not "what will happen next". There's a big hole in the middle. It's embarrassing how bad robot manipulation is. Manipulation in unstructured situations barely works better than it did 50 years ago. Nobody even seems to be talking about "common sense" any more.

"Common sense" can be though of as the ability to predict the consequences of your actions. AI is not very good at this yet, which makes it dangerous.

Back when Rod Brooks did his artificial insects, he was talking about jumping to human level AI, with something called "Cog".[1] I asked him "You built a good artificial insect. Why not go for a next step, a good artificial mouse?" He said "Because I don't want to go down in history as the man who created the world's best artificial mouse".

Cog was a flop, and Brooks goes down in history as the inventor of the mass market robot vacuum cleaner. Oh well.

[1] http://people.csail.mit.edu/brooks/papers/CMAA-group.pdf
It is sorta interesting to wonder about how far we can bootstrap ourselves. We went from trees to moon landings and neural networks, maybe we and our tools can rise to the top of the Kardashev scale (barring any cataclysms.)

If so, it implies there's a sort of intelligence-completeness, where species can accomplish any physically possible objective.

Or maybe we will peter out before achieving practical fusion, quantum gravity or AGI. Either way, "X can't create X" is a silly argument. Humans create humans, there's whole websites dedicated to that.
Machine learning is a cost reduction multiplier for staffing costs, which are perhaps the highest cost for technology firms until they become successful.

Google and Facebook use algorithms to try and minimize dollars spent on moderating their sites, with limited success. If they can avoid paying human beings to make judgement calls, they save billions of dollars a year.

It’s reasonable to be skeptical of startups who claim that they’ll use ML someday. Ask them how they’re using human labor today to perform the tasks that they’d like ML to do, and what their runway is for that work at their current burn rate. If they don’t deliver a viable ML labor reduction by that time, they will either collapse or worsen their service.
> The way the press covers Donald Trump is unlike any other president in modern American history. Quantifiably so.

None of the others they compared to (Carter, Reagan, Bush, Clinton, and Obama) were issuing 36 public statements a day like Trump is. Nor did any of them speak out on such a wide variety of things.
unchecked, the progress of this technology and the staleness of banking security might cause entire institutions to fail
You didn't pay attention.

I have shipped to other addresses than my main address on file with Apple.
That's a proportional measurement. A small difference in an already small value can result in large proportional differences even when the absolute difference is small. This is sort of like how small towns might see their murder rate skyrocket by 300%, but in reality what happened was that there was one murder last year and three murders the following year.
Where do you see that? The CTA does seem to represent independent truckers (owner-operators): https://www.caltrux.org/owner-operators/
I didn't downvote you (I posted the parent to your response) but your comment read to me as coming from a perspective skewed through Brexiteer-tinted glasses, which both Remainers and neutrals wanting objectivity might find frustrating.

I can believe there might be positive aspects for business, but pretty much all of them involve a deterioration in workers and other rights (human, animal) and standards. And generally speaking, while agility and flexibility are likely to follow from becoming newly small and skinny, I don't see how that helps when in the trading ring with very big, very strong heavyweights.
The developers, or the project managers, are the ones setting the parameters: the expected outputs and the processes necessary for that output to be generated. That they don't classify the images themselves doesn't take away from the failure of the system to work as expected being a result of their failure to fully understand the problem, which is itself reflected in their unconcious biases.

Your expectation was the same one they had, and it was wrong, which is the crux of the issue.
This article seems like a long and pseudo-technical way of saying that Disney makes a lot of money because they make products that a lot of people like.
Getting a $10k transfer with other contextual information could easily make it all under one of those scenarios.
>We will never be able to believe voice again...how will we adapt?

"Say, Grandma, before I wire the money, what's the name of your cat?"
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Yes. Then you just cast a spell to summon a computer spirit and let it manifest into the wooden block.
Engineers tend to misuse “minimalist” when they mean “brutalist” or “spartan”.

Minimalist in the code doesn’t reflect on minimalism on the interface, and when you apply an adjective to the description of your product you are characterizing the overall experience and visible surface (UI)… not the “backend” that makes it possible!

You can have very baroque UIs without writing that much code, and it would still be considered “minimal” on the code side.
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100% agree. Of the people I know that read the memo (incl women), I know of none who disagreed with it. It's genuinely hard to disagree as he presented facts backed by research to support a theory on the gender balance in tech.

I will add that many people who only read articles paraphrasing and quoting it, did seem to react unfavorably, likely taking the opinion the article wished to portray.
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Mine wanted a Diamond so we compromised and bought it at a pawn shop for a far lower price. Second hand diamonds are cheap because there are so many they aren't worth anything. The whole retail diamond market is all just scam.
That's why my license choice is closed source.
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There doesn't seem to be much value add from this guardian article. In fact, it kind of clouds the issue by rewording some of the complaints.

The actual letter. https://medium.com/@blindfb2020/facebook-empowers-racism-aga...

Maybe it was just me, but I had to read the actual letter to figure out what the issue was with the clean up request.

According to the letter, 2 white employees assumed the black/Latino employee was kitchen staff and asked the coworker to clean up their mess. When the black/Latino employee complained, the manager said they should dress more professionally. (like a t-shirt and a hoodie, maybe?)
Hugged to death, probably
didn't know new season was out! thx!
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Hah! And I thought "email is dead".

Sorry couldn't resist.
Yes but it sounds weird to me because Carmack has spent his whole life involved with games but has not been known for an interest in game AI before.
You're taking that quote way to literally. It means if you do something you like, it won't feel like work.

It has nothing to do with job security.
I think I would enjoy more something like a cable-patch interface. I would draw an integrator on a piece of paper, draw a line to a plot window, also just a rectangle on that paper, draw and an incoming signal from a generator to the integrator, then play with that.

That's called LabView. Widely used with instrumentation, or for simulating instrumentation.

The trouble with programming by wiring stuff together is that it doesn't scale. It's been tried many times. The Blender game engine worked that way, and you'd end up with a maze the size of a tabletop for a modest game. At some point you need abstractions, and that model doesn't lead to them.
Or just don't associate your name to main social media feed. Have a professional social media and a fun one.
Similar thing happened a while back when AOL released 'anonymized' search data - https://en.wikipedia.org/wiki/AOL_search_data_leak

I dug through it just out of morbid curiosity and unfortunately stumbled upon a few searches indicating that a friend privately suffered a miscarriage. This was only possible because I recognized her as the only person that I knew at the intersection of a few other search terms that were correlated to the same 'anonymized' id.

GP is assuming a naive starting point when that is rarely the case.
the average person has the birthday song sung at them every year, and sings it to friends family and co-workers multiple time per year, ideally you only give/receive a diamond ring once a lifetime.
Still no extensions sync?
Sorry, but ITER is far from a "total system"; just a proof of concept for controlling the plasma for a short period of time. They're not even going to convert the heat to electricity. The more you read about it, it's quite disheartening as far as how low they've set the bar for success, and how much work there will still need to be done after that. It's no "moonshot".

http://www.jt60sa.org/b/FAQ/EE2.htm