skysight-inc/HackerNews huggingface dataset:
I appreciate the time you put into this response, thanks! I’ll give it a go
UI for Apache also provides full support for Kafka Connect
How is a poorly made cable Apple's fault? Apple could make a proprietary connector with an apple shaped plug on each end. Yet you could still end up with a dead device because someone made a cheap clone cable with an internal fault that shorted the data line to power.
I've lost count of the number of people I've talked to who think that neural nets means we've created brains that will just magically learn how to do new tasks. So we just need more training and then automated <whatever> is just around the corner.

Tesla, et al do not have the luxury of ignorance to explain that away however, they know what the technology is and is not currently capable of, but they don't want to admit it.
Did they?

As far as i remember, the chinese empire was toppled by a small fast changing merchant nation on a island half way around the world. Beginning a hundred years were it was trampled by repeatedly including by another island nation nearby.

The roman empire died the strangest death of all, it created such a tremendous underclass stagnant in misery (slaves, woman, all non-citizens) that a religion could basically overwrite its whole culture, erasing it from existence, without leaving behind even the technological advances.
That's only because you broke the guidelines and commented to create a generic tangent.

My edit to ask about why I was being downvoted is based on curiosity - a key pillar of this site. If people have a divergent opinion strong enough to downvote, then I would like to read it to understand more. Furthermore, my comment was not about comment voting, but about identifying and understanding that opposing position.

I out, since it seems you're just trolling on a tangent instead of commenting on the pertainate topic.
Sounds eerily familiar to Permutation city by Greg Egan :)
I’m scared to read this. I’m interested in being able to do these things. I think my communication skills might be lacking and I haven’t figured out an approach that works for someone like me… but I definitely know that it’s something that needs improvement.
I'm a total hermit...

> As they don’t plan, you never know when (or if) they are going to finish a task.

I have the next year and change planned out.

> As they don’t document, their code is not reusable because nobody knows how it works.

I write lots of documentation.

> As they don’t test, chances are the code they write is full of bugs.

I do a healthy amount of testing (specifically on stuff that involves a lot of variability or uncertainty).

> As they don’t refactor, the software cannot evolve.

Refactoring is like church.

> As they don’t handle infrastructure, their code has only been executed on their machine, and only God knows what will happen when the code runs in production.

I built and maintain my own stack on a combination of setups involving bare-metal, Docker, and Kubernetes.

> As they don’t have good communication skills, they do not know how to sell what they do to the market, which is why they are always behind the competence.

I've been told I'm an excellent communicator. Maybe that's because I spend most of my time talking to myself.

> As they don’t diversify their skills, powerful AI will take over their workplaces.

I can design, develop, write, market, speak, and sell.

---

tl;dr; Don't apply lazy generalizations to yourself as they set an artificial ceiling on your potential that makes you easy to control. See: https://podcastnotes.org/kapil-guptas-solo-podcast/kapil-17/
It's consumer cigarettes, almost entirely.

It's a UK study. The question would have been "What is your smoking history?". In the most basic case, there would be three options: "Never smoked", "Historically, but quit", "Active smoker". More advanced surveys would have examined the volume of smoking and how long ago you quit.

Marijuana is illegal in the UK, and the NHS does not typically ask questions about current drug use. Occasionally they will ask for drug use history, but the question "Do you currently smoke marijuana?" will simply not be in the vocabulary of the average doctor.

There aren't really any appropriate stratifications for UK tobacco smokers. Almost everyone who smokes uses either packaged cigarettes or self rolled. This division is strongly correlated with income. The self-rolled crowd always use filters.
Also, no certification for anything with QuickCharge, Anker PowerIQ and whatever Mediatek's one is called.

Only pure USB PD chargers can get certified.

Anker for example makes only a handful of such chargers, and none in the brand new Nano II series are certifiable.
By my count, 4 of the other 6 are owned by companies that are either in the FAANG acronym or would be if the FAANG grouping were internally coherent (or considered foreign companies):

- Youtube (Google)

- Skype (Microsoft)

- UC Browser (Alibaba)

- TikTok (Bytedance)

Now all we need is for Amazon to buy Snapchat (or anyone to want Twitter).
Big assumption to make if it turns out the numbers and data don't scale up once you do large-scale deployment!
Splitting every nullable attribute is not "trivially rejectable", you absolutely can do this to represent sum types (and it doesn't mean that those should actually be stored separately: the relational model is logical model, it doesn't matter if a table is implemented with one or with two B-trees or somehow else entirely).

The main problem is that you have to manually type JOINs for all of such sum-typed properties to do any useful queries/updates — and there really is no other way than write it every time anew by hand because the relational theory is just the intuitionistic first-order predicate calculus. You'd really want some second-order tools, to group those tables together... but then you essentially end with tables with sum-typed columns, and since the main idea of the relational model was to never step out of the first-order predicate calculus, the reasonable solution is probably to just introduce sum-types as actual types.
In Finland, we had this for soda and beer, but I hear it was dismantled because it was considered anti-competitive, bringing scale benefits for large companies having big bottle collection and washing operations.

Glass bottles went away anyway though, which is great for kids and dogs walking outside.
Man that website is anti-friendly to use.
I can already see Elons angry tweets if MVA ever even thinks about that. Remember the Corona tweets?

What we need is a big fat lawsuit, since the government will not do anything to anger the only profitable US automaker.
What user-detectable effect would ML have on a Chromebook? They are just used for web browsing and word processing, aren't they?
Sure, but the requirement for disclosure seems pretty straightforward:

> . McKinsey’s contracts with the FDA, which ProPublica obtained after filing a FOIA lawsuit, contained a standard provision obligating the firm to disclose to agency officials any possible organizational conflicts. One passage reads: “the Contractor agrees it shall make an immediate and full disclosure, in writing, to the Contracting Officer of any potential or actual organizational conflict of interest or the existence of any facts that may cause a reasonably prudent person to question the contractor’s impartiality because of the appearance or existence of bias.”
> Munro is very critical of many aspects of car design; I cannot understand why he's such a fan of FSD.

Maybe due to personal profit?

https://old.reddit.com/r/RealTesla/comments/kxj0or/twitter_s...
No normal person will deny this.

But there is no comparison to a small population being affected (ironically in the USSR, lots of artists and authors got not only blacklisted but sent to the Gulags --gee, I wonder if they wrote to Stalin on behalf of their brethren) to potentially anyone and everyone being a potential subject at any moment for something otherwise innocuous.

What’s more this is much worse. It’s not about a singular subject (communist sympathizer) but just about anything at any moment. It's a shifting landscape so much so that there is internecine sniping among all groups.

Today you can’t even make a genuine faux pas without the risk of someone coming down on you and risking your livelihood. That’s quite different.

If Pelosi said off handedly, you know Trump did a couple of things right, or you know I don’t agree 100% with everything BLM she’ll be in trouble and she’s the top politician outside the president. Imagine a school teacher…
I have no idea why he got thrown out, but he apparently provides anonymous email that's used for bomb threats and had the slogan "Hitler did nothing wrong" on one of his websites (hosted in Germany, no less), so it's not hard to imagine he gave them more reason than owning rude domains.

Not saying it was justified (don't know, don't really care, I'm not affiliated or involved), but you're not giving the whole picture.
I'm seeing "Don't know" for fuel status for everything in the city where I live. I guess this is really relying on crowd-sourcing the data?
It's not a silver bullet, but there are millions of people who are not dead now because they got vaccinated.
YC has a blacklist of people and companies.

Not sure what will land you there, but I know they have it and use it.
Indeed, and in that time people having the opinion that black people should be free would have been considered to have “wrong” and “dangerous” opinions that would cause great damage to society.

Would we be better off today if those in power then had been able to silence unpopular opinions?
McKinsey employee here.

This isn't a scandal, and is probably required by the FDA client contract and the pharma client contracts. It is normative. The FDA is fully aware that McKinsey serves pretty much every major pharma company in the world. Pharma companies know McKinsey is likely involved with federal agencies, probably including the FDA. The contracts formed with all organizations will clearly indicate that the relationship is going to remain private. A really important part of working with a big consulting firm is that you keep it internal to the team.

For example, the partnership might be serving both sides of a vendor/procurement situation. It is a huge conflict of interest if these two teams talk to each other and risk leaking their side's position. Thus, not only are the teams allowed to talk to each other, they're not allowed to communicate to others that they're working with that client.

Nothing unique to McKinsey here. That's how consulting tends to work.
Having never done an exit interview, are they required? Did you have to do them or lose some back-pay/benefits?
So you would pay an employee more the further they chose to live from the office?
The big question I have regarding R2 (for those no in the lops: Cloudflare's alternative to S3 with no egress fees (!)) is if the terms hold if you choose to use it to host video. If yes, then wow, this truly is disruptive.
This also seems like something a self-aware AI would write to avoid arousing suspicion related to it's creator not being seen alive for some period of time.
Similar to a Java Optional<T> [1]

Give it an interface that allows you to attach behaviours for not null and null values.

[1] https://docs.oracle.com/en/java/javase/11/docs/api/java.base...
If and when ML agents control the bulk of transactions, it will be interesting to see the emergent oscillations in market prices. After all you'll likely have neural networks which are effectively being retrained daily, no telling what kind of patterns the system might settle on because of the tight coupling you describe.
True. But AR/VR are the most fun bits.
> Many of my friends, who finally left Facebook, are very happy with Instagram.

Counter-anecdata: Many of my friends are unhappy with Instagram because of the (randomly![1]) filtered timelines, intrusive ads[2], etc.

[1] e.g. I see different timelines on web vs iOS with the same account. It's bafflingly stupid. I just want a chronologically sorted list of post from everyone I follow.

[2] Checking just now, scrolled through 25 timeline entries - 7 of them are ads.
It's interesting and a bit unfortunate how medicines are sold by brand names. I think it's a bit regional.

Here in the Midwestern US, if you ask for Tylenol they're going to give you acetaminophen. There's caffeinated Tylenol for headache relief, and anything containing codeine is going to be prescription-only. But a lot of people only seem to know the brand names - Tylenol, essentially, means acetaminophen, Motrin or Advil are ibuprofen, Sudafed for pseudoephedrine, Claritin for loratadine, etc. I will admit that the names developed by the marketing departments are easier to communicate, spell, and remember than those developed by organic chemists...
It's not really bricking as the devices still work and remain as secure as they were before for the user specific keys, they simply fail attestation for cases where someone cares if the user is using a real and secure device. I.e. Banks/wallet services and cloudflare given their fear of Sybil attacks.

Personally, I would rather my banks accept Fido keys and tell me when I might need to replace one. Since the user keys are still fine, they technically only need to prevent the sign up of new keys if they trust information on when a device was compromised.

People compromising them for fun and publishing their success is much better than no one being interested in their security and no one knowing whether it is hard or easy to be a secret builder of malicious clone tokens.
Researcher refuses Telegram’s bounty award, discloses auto-delete bug
Because the heel hurts "the other" - marginalized people - more than the average person who voted them in. They're willing to suffer a little, as long as the right people suffer _a lot_.
I'm sure it'd be fine, but I wouldn't get one installed in my city-center bar.
I think you can reduce the size of the piano script a lot by using an Oscillator to generate the sounds instead of the hard-coded instrument samples.
Mac meaning MAC Address?

Those are definitely not randomized by default, even if operating systems tell them to act as if they are.

And even then, why would that require being on the same network? I can see my wifi router's MAC without being connected to the network, ditto for your phones bluetooth.

Edits because mobile.
The Apple A15 SoC Performance Review: Faster and More Efficient
I think it was in an interview with someone from the ECMWF where they claimed that for each decade of progress, the accuracy of their models improved by one day. So we're currently at around three days of good forecasting.

These models do not use AI, they work by extrapolating, like you say.

If you have access to DWD's RADOLAN image data, for example as rendered images through the DWD WarnWetter-App (you need to pay a small one-time fee to access the radar data), you can clearly see how much this extrapolation leaves to be desired (even though it is extremely useful as it is). Actually, almost every German weather data provider which offers radar precipitation predictions is based on the raw data provided by DWD, this raw data can also be downloaded for free at https://opendata.dwd.de/weather/radar/radolan/rw/

Anyway, if you look at the predictions, they are pretty simple. As if the wind direction at two different altitudes is determined for each point, and then applied to the current precipitation data.

These wind vectors don't change during the (short term, max 2h) prediction, so you see the parts of the image moving at a constant velocity as soon as you're talking about the future.

This neglects two things: wind direction will change during these two hours, which is why you as the app user need to check often to verify if it is still accurate, but most importantly this simple model does not take into account the humidity in the air. So sometimes the rain will arrive sooner not because the wind got faster, but because new clouds are starting to build faster in your direction than the old cloud systems get to travel towards you with the wind.

And in both these cases AI provides a significant potential of improvement. By looking at more of the surrounding weather dynamics it will be able to predict better what is actually happening in the weather system. Currently we can only improve this by adding more sensors and more frequent radar scans, but AI can really start to interpret the past one-hour-weather and "understand" what is happening there in order to predict what will happen later. And there is a ton of data available for training.
I see this kind of comparisons all the time, where the test subject associated with the author is strictly better than the rest (especially the tables). I think this discredits the product rather than helping it, as you are either too arrogant to acknowledge any merits from your competitors, or you cherry picked the criteria.

But surely the marketers know better than me, so what's going on?
Sure. But what worked with WhatsApp might not work with the next cool social app. Snapchat IPOed, and why would the typical founder of a hockeystick growing social network sell to facebook if there is a realistic chance of becoming the next facebook? Not that we would be off any better, so.
Well known, based on personal experience with these folks.

But most of the time, it's due to how these guys are managed by their client.
When you bring in an individual from a top consulting firm, they will fight tooth and nail to get the results you want. Or at least not "fail" at getting those.

If this means doing a great job, they will definitely do that. If - due to factors they can't really control - they need to endanger the rest of the project so that their part is successful, they will avoid to do it if they can. But they will do it if they need to. Failing is just not an option.

This is the danger of hiring consultants: incentives are not fully aligned between you and them. You want the whole project to be successful - on the long run. They want their part to be successful - right now.

If you are careful enough, these two absolutely coexist. If you aren't it can be dangerous for you whole organisation.
In 2015 I was in a room with a bunch of Samsung execs talking about Smart Cities and someone said that Samsung believes the car is the new living room, and they missed owning the first living room, so they won’t miss owning the second. That’s why they purchased Harman Kardon. I didn’t really believe him at the time but now I do.
Ok ... I am directly going to piggyback on this:

1. Subjectively this years weather predictions have been way off, compared to the years before. I heard several theories on that: (a) the year was extraordinary (less cars, less flights) and (b) predictions were worse because data from plane based weather radar was missing.
-> Does anybody know if my subjective feeling is based in reality? And if true, what are the reasons?

2. Again subjectively, but I feel like most of my weather based decisions are "do I leave now or do I wait for the rain to pass". That question is answered pretty well by looking at the weather radar maps myself. I feel like an statistical/ML/AI approach that combines what was the weather yesterday and what is the weather in the surrounding cities should fair pretty well.
> Federal procurement rules require U.S. government agencies to determine whether a contractor has any conflicts of interest. If serious enough, a conflict can disqualify the contractor from working on a given project. McKinsey’s contracts with the FDA, which ProPublica obtained after filing a FOIA lawsuit, contained a standard provision obligating the firm to disclose to agency officials any possible organizational conflicts. One passage reads: “the Contractor agrees it shall make an immediate and full disclosure, in writing, to the Contracting Officer of any potential or actual organizational conflict of interest or the existence of any facts that may cause a reasonably prudent person to question the contractor’s impartiality because of the appearance or existence of bias.”

> Over the past couple of years, for example, McKinsey’s bankruptcy-advisory practice has paid more than $30 million to the Justice Department and one client’s creditors to settle allegations that it failed to disclose potential conflicts, as required by the federal bankruptcy rules.

I don't know how frequent it is, but when they do it to the government it's at least a breach of contract and possibly criminal: https://www.nytimes.com/2019/11/08/business/mckinsey-crimina...
Programmers can write nil-safe types in Go but it requires some extra effort.
Apparently, the food, healthcare, and counseling, as administered by Baltimore schools, are not very helpful in education, given the abysmal outcomes they produce.
The hiring machine merely ensures that they can leetcode their way out of an interview and into the job. It doesn't care about what they're supposed to know :)
It seems the flaws are too binary. 90% of the results are great, the other 10% absolute trash.

You can see this everywhere. For example those app that generate a non existing person. A lot of times the results are great except for that one spot which makes the overall result useless.

Another example is the OptiX denoiser (NVidia). You can get very nice renders in a few seconds which speeds up the workflow. But every time it has areas with a lot of flaws. This doesn't matter when you are still working on something but for production it is useless.

ML has it's use in a lot of areas where the outcome doesn't have to be perfect. But I am still not convinced it is 'production ready'.
If you're making a business out of the content you create (like this page), IG allows you to reach a ton of people.
Indeed, the 'cool-off' time is even part of the statement of work, and negotiable. Its just part of the game. There are maybe 10 companies active in a given region/content that have the fame to pull off this high level of consulting (I am not claiming they are the only capable ones, or even that they are capable, just saying that the shortlist is rather ... short)

Its known that they work for the competitors. You just want to handle the exposure and limit the risk of your super realistic super important strategy leaking 3 months before you make it public.
The machine's ability to recognize that it's about to crash may actually be one of the issues here, since often the self-driving/driving-assist car crashes are cases where the AI just completely misinterpreted the environment and made bad choices.

A human driver is somewhat likely to eventually realize what situation they've gotten themselves into (oh no, i can't stop in time) because of the multiple different feedback loops and information sources they're working with combined with their experience as a driver. For example, a drunk or very tired driver is operating with impaired decision making and response time, but they may eventually notice and respond - while an AI misclassifying a fire truck as a stop sign may very well continue misclassifying it until impact.

One way to mitigate this would be via sensor fusion - even if your vision or radar sensing fail, you can rely on data from other sensors to do things like apply emergency braking.

Unfortunately at least one vendor has decided to ditch radar, lidar, etc and just go with vision!
Pass, an ImageNet Replacement for Self-Supervised Pretraining