skysight-inc/HackerNews huggingface dataset:
The bikeshedding here came from a fundamental disagreement about usability. It really could not be helped. Some wanted the email client to automatically detect a situation where encrypted email was possible. Others felt that the risk of a user unknowingly sending a CC unencrypted was too high.

Part of this ended up coming from the fact that Thunderbird was not clearly showing the user that the email to a particular recipient was or was not going to be sent encrypted. I am not clear from skimming the discussion that this fundamental issue has yet been fixed.
Technical high quality content is content marketing for the person who writes it.
You were talking about Cold War innovation that seeded Silicon Valley. Not saying modern America doesn't have its problems. This confirms my point.
In the United States, size is one attribute in which cars have not converged.

Cars keep growing bigger, for no sensible reason. That demand was created by aggressive marketing (encouraging Americans to attach their egos to their cars) and fearmongering (people feeling the need to get larger cars to protect themselves from other, ever larger cars).
> Seems best just to leave politics out of business.

You literally can't, though. Business is inherently political. And even if the corporation itself may attempt to remain neutral and refuse to participate in any donations or fundraisers, the C-level executives and the shareholders who derive most of the excess value produced by the company are still people with opinions who have a lot of disposable income they can throw one way or another.

If you truly think business can avoid politics you should ask yourself why all the companies priding themselves in not engaging in politics are run by people who lean right-libertarian. It's hard to see the water when you're a fish.
Huh, I don't see any of the original in it. Aesthetics, gameplay, and even tone of the game are all way more Divinity than anything Black Isle ever made.

What of the originals do you still see in Larian's new one?
The gist of it is, the hush money payments were covered up by filing false business records claiming it was for "lawyer's fees". That's the first issue. The second issue is that it can be considered an improper campaign contribution because it was to benefit the campaign.

In order for it to be a felony, you need to connect the two together. Otherwise it's a misdemeanour.

In terms of it being a "weak case", I would just say let's wait to see what the prosecutors' argument is - this will be released when the indictment is unsealed on Thursday. It's a document-heavy case. There is a witness who carried out the crime (Michael Cohen), and other witnesses as well. I would also posit that the prosecutors, and a grand jury (who unanimously voted to indict) would not take the unprecedented step to charge a former President unless they thought there was a strong case.

So, let's just wait and see.
It's really not an "approach" at all, it's mostly a sensationalist headline. Maybe the judge wanted some publicity. You can get any result from chatgpt, it really shouldn't be used for governance or actual decision-making.

Plus I'm pretty sure this violates "Open"AI's terms of service.

Edit: yep. https://openai.com/policies/usage-policies

>Disallowed usage of our models

>We don’t allow the use of our models for the following:

>Engaging in the unauthorized practice of law, or offering tailored legal advice without a qualified person reviewing the information

>OpenAI’s models are not fine-tuned to provide legal advice. You should not rely on our models as a sole source of legal advice.

>High risk government decision-making, including:

>Law enforcement and criminal justice

>Migration and asylum

Edit: better articles that detail the question posed to ChatGPT and the answer:

https://www.indianarrative.com/india-news/in-a-first-high-co...

https://sports.yahoo.com/first-indian-court-turns-chatgpt-07...
.NET SSG Razor Pages Jekyll alternative for creating static websites and blogs
Not a lawyer, nor am I American. No horse in this except maybe a citizen of the world. This seems like a weak case to me. For a former president and polarizing figure, you would think the bar on prosecution would be air tight. If he goes to jail for a crime the population (or his support base) considers is trivial or if he does not get convicted, it raises Trump's stock to the stratosphere. Perhaps if he goes to jail, he can't run for office? Still .. seems very dubious based on the info in the news so far.

Here is an analogy I thought of. Say my firm's database gets ransomewared. If I pay the ransom directly, that may be a particular way of accounting. But say, I pay McCohen Computer Associates to fix the problem. Why do I not book it as a computer expense? I am not an accountant but am curious how this works.

Also, booking something in the wrong accounting category, doesn't seem like a very convincing charge. On the other hand, Tax and election violations are very serious.
Not that I'm an AI expert, but it occurred to me that humans actually don't learn simply by reading books. You can read a hundred math books, but you will still suck at math if you don't do the exercises. Same with most other disciplines. I believe there is a value in exercising, making mistakes, asking for guidance, and learning by going through a feedback loop. This process has not been written down or recorded, so AI can't benefit from it. It has to do the exercises, too. There is a lot of knowledge (you could call it "experience") that isn't contained in books.
The Artemis Team
"NASA's Artemis 2 trailer builds excitement for moon astronaut reveal with movie flair" - https://www.space.com/nasa-artemis-2-moon-astronaut-reveal-t...
Not even Windows is headache free.

I have an Asus where the NVMe causes a BSOD every third startup or so.

Passes all the hardware diag I’ve done. No crashes for years using various Linux distros.

I lucked out this time. They (my wife and I bought two) were purchased in a panic when we had covid because we realized we did not have enough computers for the kids to do online school.
This is just rationalizing FOMO. Of course you don't know the things you don't know.
> For developers separated code is easier to read and to maintain.

Unless the inner loop is something long or complicated (in which case for reading & maintainability it should maybe be broken down into functions), I generally find the fused version easier for both.

For readability: it is immediately obvious that everything is working on exactly the same data, and the same range within that data, and that one section is not expected to have side effects that affect the running of the subsequent ones.

For maintainability: there are less possibilities of an edit to one part that should affect all being missed elsewhere.
Where did the parent comment mention grid overload?
> Then what is 'real' learning?

It’s understanding. GPT succeeds at simple math questions because it has seen them over and over in texts, but give it something it has never seen and it will fumble. It doesn’t understand and does not replicate the method used to arrive at the correct solution and it will fake an answer instead of telling you it doesn’t know, which is even worse.
That's one way to view it. But in my experience with EU grant's it more that bureaucrats think "we need greener transport", they allocate a billion to it, get 10000 proposals of people who want to do projects with that, and select 100 of those to get 10 million each. Maybe one of those is an electric car company. But most of them won't pan out, and Elon wouldn't participate because in the time from writing the proposal to getting the money he already built the factory.
What are these books you speak of? I would like to read them. Thanks in advance.
Recently he signed a letter to seize any larger scale AI research than GPT-4 saying the scary growth of AI will threaten humanity. And just today he tweeted "If you don't like reality, just ignore it"
It already started 50 years ago, and the results are here for everybody to be seen:

https://en.wikipedia.org/wiki/Cost_of_electricity_by_source#...

The chart is clear. Nuclear is in no way competitive. Not to mention all the other issues around nuclear proliferation, centralization of power, risks in case of war and terrorism. And lack of cooling water due to climate change etc.
I meant think, it won’t let me edit it now
Drones are a good example of something that couldn’t exist with the old battery tech. Hobbyist RC aircraft always ran on small fuel engines. And the laws of physics around energy required to lift a craft are not changing anytime soon.
The whole point of an analogy is to make it easy to understand some complex idea using another simple concept. I would use instead this analogy: "alternative splicing is like having a box of Legos (exons) which you can choose in different order and quantities to get different objects (proteins)." I find it more clear than "alternative splicing is like ZFS deduplication and collision detection algorithm, where blocks can be reused if they are identical".

Introns are not for space saving or for efficiency. They provide variability. Is like ZFS could give you slightly different files from what you initially save. E.g. you store feral_cat.jpg spanning a number of blocks, and then just skipping blocks you can get back: feral_cat.jpg, persian_cat.jpg, egyptian_cat.jpg, russian_cat.jpg, alien_cat.jpg, tabby_cat.jpg... You never store "persian_cat.jpg" and try to save some genome space reusing blocks. persian_cat.jpg is just a possible useful image that appears magically from the original feral_cat.jpg.
I used to work with a platform that used smtp for telemetry (ish, event-based rather than stream-based). I'm not sure I'd ever do it again. It was essentially email alerting, but I consider it a close equivalent because the messages were sent machine-to-machine and (hopefully) never surfaced to a human, and they were sent realtime with no rate limiting (sent realtime, where reception is anything but).

The single largest issue we had was that customers would use their own email address as the Sender as it was the easiest way to have it accepted by their own network. And then if anything went wrong with our MX, customers would get thousands of bounces back to their address.

But the cause of a lot of issues is that mail does not have reliable delivery. The sending device cannot promise the email was delivered, only that its session with an smtp server ended without fault. It can't promise the message was forwarded or delivered (I have seen mailservers accept emails and disappear them), It can't interrogate the chain of custody from end to end. Receiving email is a near-unrelated second path that rarely exists in embedded applications, so the bounce/feedback mechanism is rarely a closed loop in these applications.
The job title is perhaps inflated. It’s working in a tech department with 40 people in the north part of the uk (lower cost of living) within the treasury department. From a supervisory perspective they will manage 2 apprentices , not even interns.

Doesn’t look like the individual has access to budget or autonomy to make significant purchases (I.e no good path for backhanders from vendors or consultancies)

headline feels sensationalist
Dolly from databricks is another example. They released the weights/model on huggingface and I can run generations with it on my M1 MacBook but it’s very slow.
If you can stomach the pay (frugal or independently wealthy) the position would be a great step up a career ladder when returning to the private sector.
What are your thoughts on using Google Docs to prototype this? Correct me if I'm wrong in my logic. You're looking for a way to link end results of your analysis to a 'Word' document that will auto-populate with each re-run. The physicians etc. want a 'clean' manuscript that mimics graphs in the format of the preferred paper + has version control.
The way it /actually/ works in the U.S. is that the government directly funds a lot of basic research, and that research is done mostly by Universities. The researchers build prototypes and run experiments and write papers, and sometimes (often after a substantial time lag like 20 years) people in industry get around to reading these papers and incorporating those ideas into a real product. Or maybe the original researchers will graduate and form a company to productize their research.

Eventually someone like Elon Musk or Steve Jobs notices that there are some new products or processes or algorithms now available that weren't before, and they realize that that unblocks them from doing something that maybe people have wanted to do for a long time but they couldn't.

Sometimes companies might do some original research of their own. It does happen, but Universities have the advantage of a lot of really smart people willing to work for very little money, plus they have open communication with a diverse collection of peers and they're all trying to publish results not hide them away. So, they can generally get more done with less money.

If the government grants enable someone somewhere to make a billion dollars, that's considered money well spent because it grows the economy and they collect more tax revenue somewhere and maybe the Billionaires will even fund the re-election campaigns of their congressional representatives and everyone lives happily ever after. That's just how the system works.

(I think big pharmaceutical companies may be an exception in that I think they often are funded directly by the government to work on whatever the NIH thinks is important, such as cancer, diabetes, etc.. instead of what the drug companies would rather work on, like male pattern baldness. I don't know much about drug research so I can't really comment there.)
Here the link to the official decision https://www.garanteprivacy.it/home/docweb/-/docweb-display/d...
If YouTube content creators are any indication you start shilling VPN services while vastly overstating the security they provide.
Agree, secure your career, make a network at that level with people that may be interesting for the future (providers, investors, etc...)
Why are we judging ChatGPT on __all__ fronts when very few humans are actual polymaths to that degree?

The _average_ person can not provide me with as much depth or breadth of information in B. They may be able to provide details and information about what they specialized or have been doing for years, but breadth and depth? Definitely no.

Why is this expectation that the model must be able to hold a conversation like a literature or philosophy graduate when the overwhelming majority of people can not?
Nim Version 2.0.0 RC2
Fire 50% of Managers (at Random)
IMEC is govt funded in the EU and is very successful. Many of the advanced semiconductor techniques are trail blazed there before being adopted by industry world wide.
Italian regulators order ChatGPT ban over alleged violation of data privacy laws
Good old paternalistic Italian policy-making. They do have a point, but a ban is not the answer. What do you think?
Yes, agreed. I didn't understand that. For me, Signal is preferred but I will use WhatsApp if I must.
to be fair that's true for faangs too, compared to how much they "earn" through your work.
It's well within the statute of limitations for 2 reasons;

1. NY paused it in 2020 due to COVID

2. Trump has lived outside of the state for a few years, meaning it's paused
The Mechanics of Bitcoin’s Op_return
Sorry not a good example by deliberately bloating the XML and also adding double-line spacing. title, author and publication-date should be XML attributes as they don't have children and are singular data of a singular data type.

<books xmlns='http://www.example.com/books'>
<book author="Frederick Brooks"
publication-date="1995-06-30"
title="Mythical Man Month" />
<book author="Eric Gunnerson"
publication-date="2001-06-30"
title="Programmer’s Introduction to C#" />
</books>

Sweet, succinct, elegant and can be validated with an XSD and given auto-complete and tab placeholder support in your editor/IDE.

The above can be parsed without bugginess or insecurity - those feel like opinions to me. We manage to parse and render trillions of HTML markup following the same style without issues.
I think Pepper was just the name of Google's extension API, and so Pepper Flash was just a (re)packaging of the flashplayer artefacts from Adobe. My memory of this was that it was pitched (to users) as a "safer" flash, since it could take advantage of Google's isolation/sandboxing features, but I don't have any special knowledge here: I just made a shittonne of flash stuff back in the day.
They provide no real data, so let's take a look ourselves at even one piece of real data. Go look at copilot's total number of downloads on the plugin marketplace - not dau, not mau, just people ever clicking the install button, hopefully filtered a little so that install on 5 machines by same person does not count as 5 (if not, the number looks even worse). Despite massive hype, full court press, etc, the number is small. The MAU is even smaller.

Then try to convince yourself it will really make a billion at 10-19 a seat by attracting 1000x-10000x the users it currently has, and retaining them monthly, anytime soon.

This isn't the only piece of data that suggests wild optimism at work.
The entire DevOps market, copilot included, is estimated at 10-12 billion now, and won't double until 2030. That includes the effects of AI. The estimates are actually down from a few years ago (it was estimated to reach 25B by 2025 before).

The sort of nonsense handwaving with no backing in data that goes into these articles is impressive.
Even rough back of the envelope says it's currently a pipe dream.

Maybe some future copilot will attract more, but based on current data and trajectory, when I hear this kind of article claim it will make billions with not a single real current piece of data supporting the claim it just comes off as delusional.

Or you know, they could try to provide any real data that supports their claims.

Really though, I think they just hope it's all wrong because they are too vested in the narrative.

I have tons of faith that ai will change development as we know it, and in fact making it happen is a significant part of my job. I just don't at all buy all the wild pronouncements of how soon everyone will make tons and tons of money doing it, nor how much they will make.
One of my colleagues at my previous lab is porting multiple Matlab toolboxes to Python. These would probably require months for couple of Master's students, but with ChatGPT it is a few weeks work for a postdoc.
Sure, but that is sort of my point: technical content can afford to be high quality and free because the writer won’t have a difficult time getting work. Most people in other industries are not in the same situation.
The Empire of course
It is monetized when you get better jobs - better paying or paying the same with more interesting work.

That said, one blogger did tell me his "desk setup" blog with affiliate links made more money than the rest of the blog combined. So throw in a post or two that you wouldn't normally write about.
So the Linux kernel is an Oracle licensed product? Better uninstall Ubuntu then.
If one isn't willing to pay for it, the price is obviously too high for the content.

PS: it's not like ads aren't payment. It's just the price to you isn't transparent and only a fraction of it ends up at the blogger compared to a real payment
Well no, he technically didn't advocate injecting bleach either but I gather he did seriously suggest a task force should investigate it as a possible covid treatment. HCl is used as a bleaching agent even if it's not commonly an ingredient in commercial bleaches - I conflated the two in my head.
Yeah, Isn't that what engineers in the Skunksworks at Mutual Polydynamics were already working on in scope of the SANS ICS HyperEncabulator?
A lot of the Java programmers I know professionally know fuck all about JVM internals, etc. Its largely unnecessary unless you have to chase down some extremely subtle bug most of the time.

A lot of them are senior or principal product engineers at companies you will have heard of.

Whereas with C, its extremely necessary to get into the weeds - otherwise your code just crashes or suffers some memory corruption issue, race condition, etc etc.
Looks like a position with a lot of influence and status. Most of the salary is payed in gravitas and not pounds. I'm sure many people will be happy to take the deal.
This 4% rule really has teeth. It is even more interesting for Microsoft, where this would probably eat most of the profit.
I was never a graphics/3D designer but ChatGPT basically unlocked a potential new skillet for me.
I'll watch out for ruffle (60% of AVM2 sounds promising!). Thanks for that.
5 GWh in what time? Gigafactory 1 was at 30 GWh per year in 2019 and they planned to ramp up to 54 GWh, according to Wikipedia. So probably per year? Which would make their production capacity 570 kW. Also according to Wikipedia, a production of 35 GWh per year which is 4 MW was estimated to require 300 MW of energy input.
The question was why do we believe people can read and understand and that AI cannot. My answer provided for people reading and not understanding. Some people CAN read and understand though…
Please:

https://upload.wikimedia.org/wikipedia/commons/2/2e/Electric...

I guess while there's a guy in UK doing a barbeque with coal, I can't say "UK got rid of coal" here.
ANN Benchmarks: approximate nearest neighbor libraries in Python
EY’s arguments don’t seem to take physics into account. That’s why they are not taken very seriously. To many it sounds like: volcanos are dangerous. What if there were a billion volcanos? We would all die.

Everything individual sentence is true. Volcanos are dangerous. If there were a billion of them the world might be uninhabitable.

The thing preventing a billion volcanos is like… thermodynamics
Do you aware of Generative Adversarial Networks? Or Reinforcement Training?
Is there some sort of inside information about EU process around Facebook that you want to share here, or is this just generalized bashing of people who have negative outlooks on particular institutions as cynics?
Yes, it speeds it up considerably. More heaps of messy software produced much faster.
We moved on from algebra as a focus quickly. In Central Europe, my high school math courses in grades 11 and 12 were about equivalent to math in a CS BSc in uni in the UK. Formal languages, computing, matrices, and other such things. But you could also finish your high school after grade 10 where I was and not learn any advanced math, or simply choose a lower intensity math course.

Regardless, education was rushed in my childhood (90s and 00s) and it was the norm in Europe. I don’t think that was good, it was very stressful and if a kid had to miss school for a few weeks because of a life event, it was very difficult to catch up.
The "world model" is still completely, utterly syntactic -- the machine may very well learn that the word "sun" is related to "warm", "light", "day", but cannot ground these words into reality. This is also why it can easily end up making contradictory or inconsistent statements.
Linking devices is one of the standard permissions normally. So if you give permission in one window and don't say anything in another, it probably counts as permission for both.
HTTPS is just an encypted pipe. The authentication only works one way (you authenticate the server) and it only involves mapping a string (www.example.com for example) to the cryptographic identity through a trusted third party.

Encrypted email embodies an entire encrypted end to end messaging system with authentication of all the users involved in a discussion. The problem is harder and we have not settled on any good usability standard for this. The usability of end to end encrypted messaging is still quite bad for online connected media like instant messaging as well.
IANAL, but I think recording the conversation surreptitiously is legal in NY, as long as one party knows they’re being recorded.