skysight-inc/HackerNews huggingface dataset:
Doesn't lying require moral agency? To say that an LLM is lying is to suggest that it intends to deceive you. That's anthropomorphizing.
Though calling it pseudoscience would be insane.
It's directly-tied to a certain point. There is a maximum, so it's not really fair to say "hey you make more, you get more back in SS!"

You're using 95 when the average lifespan in the US is 77 ($522k given back to you in SS payments).

At least with an IRA/401(k) next of kin can get the money if I die at, say, age 66.
I'd like to subscribe to the news but cannot find a place for it. Am I bad at finding it or is it not implemented?
Cool idea, but I'm confused about the demo. Sure, it generated a lot of code. Does that code actually work and do what you asked? It would be helpful to show the app it created actually running. And the music... lower energy at a lower volume would be better. I had to mute it in order to get through the video. Something a little less in-your-face.
How to beat information overload with FilterFlow
Meh. Take pattern matching for example... that dates back at least to the SNOBOL[1] days. So you could say that every language that has first class patterns and pattern matching is "stealing" from SNOBOL. Or probably SNOBOL "stole" the idea from some predecessor. My point is, "imitation is the sincerest form of flattery." Languages have been "borrowing" ideas from each other dating back to the beginning of programming languages. There's nothing particularly notable about Java continuing that tradition.

[1]: https://en.wikipedia.org/wiki/SNOBOL
If it was the whole story, they'd put their own content (the rare ones for which they have 100% of the rights) with no DRM and the maximum resolution. But they don't do that.

In some cases you might get 720p (Netflix content) instead of 540p (third party) with widevine L3.
Yeah, you can do more though, is my point. The CRUD market is pretty crowded.

Feels like a lot of the AI hype is the sudden discovery that modern computers are actually pretty fast and squandered doing book-keeping in small-to-medium SQL tables (not that you need LLMs to do interesting things with them).

Basically anything that required a data center in the year 2000 you can do on a powerful desktop PC today.
Isn't Record<EnumType, whatever> working?

Then instantiate like:

```
{
[EnumType.First]: ...,
[EnumType.Second]: ...
}
```
Bingo. Netflix doesn't own the majority of the content it streams and wouldn't be able to have the catalog they have (which could be better) without providing guarantees to the rights holders of said media.

This is also why streaming video catalogs in Netflix and other providers can be anemic at times—even assuming nothing is exclusively licensed elsewhere, it's cost-prohibitive for Netflix to license all the media out there. Instead, they license popular stuff and use the rest of their licensing budget to rotate in/out a selection of less popular content.
While it's a pretty cool use of ChatGPT, there are lots of options for translating json locale files. I recently wrote a post about doing it in React Native projects, but the same concept could be applied to any framework, really. The npm package "json-autotranslate" can be installed as a CLI tool, and can hook into a fair few different translation services. I generally find using the DeepL-free provider works extremely well. https://dev.to/mikehamilton00/react-native-expo-automatic-ma...
> Depends how much you value these people I guess

The people come first, the software comes second. Always. I value people over software.

> (But personally, at this point I don't see why I would want to associate myself with the kind of people that insist on using platforms.)

I... don't know how to respond to this. Yours is such a bizarre take to me. People come first, my preferred software (platform or not) comes a very distant second.
Response to Chomsky on ChatGPT
They both seem to be about evolution...
> I absolutely think people wont get hired though, that otherwise would

If it is successful, it increases jobs in the field, while shifting skill demands to higher levels of analysis/abstraction. Just like every change improvement in how you program computers since "physically configure wiring or switches".

Possibly some individuals won't get hired in the field that otherwise would have, but the size of the field developing software isn't likely to shrink because of it.
Get the Best Tools with GPT-Plus.Chat – ChatGPT Powered
Discover the power of ChatGPT with our brand new web app! Our innovative technology helps you create ads, generate ideas, and much more. With our user-friendly interface and expert AI-powered suggestions, you'll be able to take your creativity to the next level. Try our app today and see for yourself just how easy it is to create amazing content. Sign up now and get started!
You claim 24-hour deletion policy for liability reason.

Cannot chase what you don't have.
See also "flat shading" or "toon shading/shader".
why play the game when its easier to tilt the field?
It doesn’t matter? It’s a tool, you need to learn how to use it, understand its limitations.

I used chatgpt today to save minutes of my life having it rewrite code from one language to another. Could I have googled the syntax of both, remember how, why , etc. transcribed it to another language, sure. Chat gpt did this in seconds.
I think that if you made people "get good" on the simulator before they touched the real thing they'd get better at the real thing much faster/cheaper.
What I find most annoying about it is that they're perfectly aware that what they're doing is wrong in their moral codex, but they still do it because "it's a once in a lifetime opportunity", "I really, really wanted to" etc etc, yet they're somehow unable to assume that others might feel the same way about their own life and their opportunities.

It looks like the classic NPC-illusion where people think that yes, everybody should totally do whatever is right, but it shouldn't apply to themselves, because they are the player, not just another NPC. They tend to forget that they're NPCs to everyone else.

But I ascribe most of it to them being young. I'm sure if I had been more politically aligned with the mainstream when I was 20, I would've been insufferable as well.
Capturing video via HDMI is less than optimal, since you then have to encode a 2nd generation lossy copy. Ideally, you want to decrypt the original audio and video streams before they've been decoded and sent to the display.
Certainly. And that's great. And often its also great to simply care about, say, gene-drug interactions and not find the root cause.
They probably don't debunk it because they can't-we likely are just pattern matches. To believe the thoughts in our head isn't just computational meat in our skulls that is running something that is equivalent to a algorithm ( specifically one that is above all a pattern matching process), is to set yourself up for great disappointment in the likely not-too-distance future. I would be surprised if AGI doesn't hit within 30 years, but even if it's 50, 100, it's coming whether people want it or not.

Sure, we have better software, but then again, we had the advantage of hundreds of millions if not billions of years of evolutionary meandering to get to where we are. AI has had, what, 60 years?
> ie they’ve intentionally made it present both sides of an argument

Is it intentional? Or something it just did on its own?
I beg to differ, happiness is very relative and beyond food and shelter, the rest is up to you. I was happier paying some money to help charities for free than having an IT job.

It's really up to your mind to define happiness in a way.
does the air resistance depend on the mass?
> LLMs can often explain the principles of their claims.

Tbf those explanations are often just straight up bullshit nonsense.
Bertrand Russell – On Denoting (1905) [pdf]
Namibia is one of the most incredibly diverse countries in the world. And as a new to Africa tourist its super easy to get a flavor of this magical continent.
Twitter adds some crap on automatically whenever you click "Copy link to Tweet"

Also, they do have an analytics dashboard: https://business.twitter.com/en/help/campaign-measurement-an...
It's an abstract. The actual article is paywalled.

The pull quote says nothing about IQ testing. Testing is what's under discussion here, not whether or not some people are actually smarter than others.
Instead of removing end-to-end encryption, there may be alternative solutions to address law enforcement concerns. For example, law enforcement agencies could work with WhatsApp to develop lawful access mechanisms that allow them to access messages in specific cases where they have a legitimate need to do so. These mechanisms could be subject to strict oversight and transparency to prevent abuse.
Java's stated goal has always to be conservative with adding new features, to implement what the "cool" languages are doing after it's been battle tested. It's been this way since the start.
Science is not to be trusted
The best part is that you can teach them to use tools and expand what they can do.

Do not perform any numeric or date calculations yourself.
Respond to all questions with a JSON object of the form {“rsp”: $RSP$}.
Question: What is the capital of the United States?
{“rsp”: “Washington DC”}
Perform calculations with a Python program and respond with a JSON
object of the form {”rsp”: $RSP$, “calc”: $CALC$}.
Question: What is 2 to the 7th power?
{“rsp”: “2 to the 7th power is {answer}”,
“calc”: “import math
def answer():
return math.pow(2, 7)”}

Question: What is tomorrow’s date?
{“rsp”: “Tomorrow’s date is {answer}”,
“calc”: “import datetime
def answer():
return datetime.date.today() + datetime.timedelta(days=1)”}

Question: What is the length of a standard football field?
{“rsp”: “A standard football field is 100 yards long.”}

It's crazy to me that for some definition of "knows" it knows what questions need calculations.
> What would a skeptic achieve by asking its reasoning when ChatGPT cannot provide you with its reasoning?

"If you let go of an apple from your hand on Earth, it will fall downwards due to the force of gravity. This is because the Earth exerts a gravitational force on all objects near its surface, and this force causes objects to accelerate downwards at a rate of approximately 9.8 meters per second squared.

In outer space, however, the behavior of the apple would be different. In the absence of gravity, the apple would not experience any force pulling it towards the Earth, and would therefore continue to move in a straight line at a constant speed, as per Newton's first law of motion.

However, it is worth noting that in reality, there is no such thing as "zero gravity" in outer space. While the force of gravity decreases with distance from the Earth, it never truly reaches zero. Additionally, other forces such as the gravitational pull of other celestial bodies, as well as the effects of acceleration and rotation, can influence the motion of objects in space. Therefore, the behavior of the apple in outer space would depend on the specific conditions of its surroundings."

Looks like reasoning to me. In seriousness, the reason it's able to generate this output is because it does look for explanations. Those explanations are in the form of weights and biases rather than organic neurons, and the inputs are words instead of visuals, but the function is the same, and neither is a perfect representation of our world. Recognizing patterns is the same thing as an explanation.
E2EE on platforms like FB Messenger means absolutely nothing to me if their client apps are closed-source.
What could be nice is the developer providing some unit tests, and Second using those to ensure the PR is functional, re-generating if not.

Given a set of tests, I guess you could try to generate the code as well, though I could imagine it might overfit on the given tests and create a "hack" solution.
Sorry for the offtopicness, but can you please email hn@ycombinator.com so I can send you a repost invite?
> These magnetic switches need to get down to a more reasonable pricepoint.

I think that's close to an inherent problem with the bill of materials. Taking a look at DigiKey, the cheapest in-stock linear hall effect sensor that I see still runs about $0.40 apiece in large quantity. Turning that into a usable keyswitch requires at least two more magnets, and I'm sure the assembly isn't particularly easy.

Without some great cost reduction in hall effect sensors, I think a magnetic-switch keyboard will always be more expensive than a mechanical-switch keyboard, which will be more expensive than a rubber dome keyboard.
As some comments have mentioned the pricing will increase for domain names too, not very explicit in their email on Tuesday evening "Gandi.net - Update":

Domains

We remain committed to offering you the largest portfolio of TLDs,
customized TLD suggestions and best-in-class anycast-level primary
DNS servers. In addition, we will step-up our effort to unburden you
by introducing new managed features:

Advanced and easy to use account security
Proactive notifications on changes and important events
Better rights management
Easier domain transfers with continuity of service
Best-in-class anycast-level secondary DNS servers

You can find the associated new pricing for your domains here[0].

Renewing a .com at these new prices is now £24 per year inclusive of tax and .uk domains £12.

Annoyingly my previous registrar raised prices last year and I thought that, hey, I'll pay a few quid extra and support Gandi as they generally have a decent reputation. Now with this move I'm the fool!

Like others in this thread I've moved to Porkbun, the .com renewals are now about £8.50 and .uk about £5.50 which is much more reasonable and much closer to their cost price.

I'd like my registrar to make a reasonable amount of profit to make staying in business worthwhile but that doesn't make sense when the registrar wants to double or triple the pricing for their bottom line.

Shame, but there we go.

[0] https://www.gandi.net/static/documents/2023-march-gbp-renew-...
Predicted 2000, 2008-09, and 2020. Predicted growth from 2003-2007. Falsely predicted a double-dip in 2011. Predicted growth from 2012-2020. Correctly predicted that 2015 and 2017-2018 would not result in recessions at a time that media and some friends were saying they would. Incorrectly predicted that 2020 recession would last longer than it did - I reversed opinion in early 2021, which was a little late to capture much of the upside. Correctly predicted the 2020+ inflation.

In general I've got close to 100% success at avoiding major disasters, but also tend to be a little bit jumpy on the trigger and sometimes forecast disasters that do not happen. ("A little bit" meaning about a 30-40% false-positive rate, not a perma-bear.) I also usually predict a higher severity and longer duration than actually occurs.
I dont think most people are in denial. I think a handful of major / institutional investors haven't felt a need to make a move.

Maybe they're immune to panic, maybe they're terrified, maybe they're in a strong position and don't need to move (unless it's on their terms, of course). Once a few big players start running, then we'll see a big crash.
I have to say I don't find "I have kids" a compelling dismissal of a lifetime of work, nor do I agree that English (or any other language people speak natively) could be described as "stupid simple" (and really, do you think Chomsky did not consider any other language before positing a universal grammar?).
Yes, out of the uncountable unlikely coincidences, some are bound to happen. The comment was mostly a joke. Still, the evidence keeps piling up - that you're all just agents in a humorous world that revolves around me :)
That’s a very interesting read. I’m definitely biased towards LLMs being more than what the naysayers think of their capabilities. It’s no doubt that these systems are not thinking or performing cognition. They are autocomplete systems based off of tremendous amounts of weighted data.

IMO the problem here is that we have two camps of thought arguing for the extreme end of an undefined claim. The tech companies market their LLM products as intelligent because they can perform text completions that are currently useful for simple tasks.

For example, I used ChatGPT to draft an email to my landlord asking to remove a late fee that occurred because my auto payment authorization expired. I ran the output through Grammarly and ended up with a polite but curt email that would’ve taken me 45 minutes to compose — time I’d rather spend on something else.

I feel like these articles minimize the immediate use of LLMs because of a subconscious implication: most interactions between people don’t require intelligence. And their jobs are next on the chopping block.

The other part is less understood by both parties. Getting an LLM to perform something that looks like cognitive behavior isn’t impossible, but it sure is expensive. As we speak, there are tools in development that can take a user’s prompt and compose it into what superficially looks like a human’s train of thought. The results are significantly more accurate than an off the shelf LLM.

In my opinion, academics are struggling to define why this phenomenon occurs in the first place. And with such a focus on how LLMs don’t work like humans, they miss the point.

We understand that non-human life can be intelligent in ways that we don’t fully understand. Elephants, dolphins, and Octopi are intelligent and don’t require them have human-like cognitive abilities. I think the same goes for LLMs. They will achieve a form of intelligence that is uniquely their own and will adapt to accommodate us. Not the other way around.
ThreeFlow | Remote US | https://www.threeflow.com/ | Senior Software Engineer (backend/lifecycle), Manager of Customer Success, Senior Product Manager, Senior Manager of Data Insights

ThreeFlow is the first Benefits Placement System, a new category of enterprise software that allows benefits brokers and insurance carriers to manage the entire placement process in one shared system.

- Senior Software Engineer, Lifecycle https://grnh.se/958fa1243us

- Manager, Customer Success https://grnh.se/c368ed2a3us

- Senior Product Manager https://grnh.se/cd37000a3us

- Senior Manager of Data Insights https://grnh.se/8bb432e63us

Please apply directly!
The Chinese Room argument always made sense to me. Machine translation only understands the rules for translating X to Y. It does not understand what X and Y mean, as in the way humans apply language to the world and themselves. How could it?

LLMs are a step beyond that, though. As in they do encode language meanings in their weights. But they still aren't connected to the world itself. Things are only meaningful in word relations, because that's how humans have created the language.
I was going to say the same thing, if you've interacted with it, in some depth, you know how human it may seem in one sentence then in the next completely an utterly proves itself to be a machine. Yet some people (some examples are well know) really project a human like mind onto the thing (as posted here before, this is also insightful [0]).

[0] https://nymag.com/intelligencer/article/ai-artificial-intell...
How do you know if you're willing to read a book multiple times before, you know, getting acquainted with it by reading it?

Do you have a 100% accurate method to ensure you never ever start reading something not-awesome?
Not only was his response incredibly rude, but it was also close minded, short sighted, and frankly quite dumb. Still amusing to watch, though.
Yes, that’s the one I used afaik.
The gold is one of the materials you can choose to plate your copper on the board at manufacturing. “Enig”. Increases conductivity but also looks sexy :D
I think every board was $8 on MOQ.
No, it doesn't. A successful startup can have a few large customers and millions of dollars in revenue.
Clover is a grass and dicot. Is clover a tree?
The human race is doomed. We never learn from even the most common tropes used to do harm to innocent people.
If there was another LLM for applying “internal consistency” across generated hallucinations this could easily work as a unique story series generator.

Throw in an updated Stable Diffusion and we have an infinite supply of tv entertainment.

Don’t like the current series it’s showing you, start fresh with a new random seed…

Side note:

The IKEA maze article was spot on and shockingly “close but not quite” realistic.

I’ve often referred to the “IKEA time dilation field” you walk in and suddenly it’s 6 hours later and all you’ve picked up is a set of coffee cups and a lamp shade.
When I get a recommendation from an actual human being I know and trust, I typically enjoy it, but when it’s a book that influencers say “changed their life” or gets good reviews from NYT, or Goodreads, etc, I enjoy it much less so.

There’s nothing wrong with not being into the same books everyone else pretended to read. A good book should feel like entertainment or an interesting diversion, not a chore to slog through. There are some classics (like Dickens) that I just can’t get into, and I’m OK with that.

Stephen King describes his books as the literary equivalent of a “Big Mac and Fries” and you know what? Sometimes a Big Mac is what sounds good for lunch.

One genre I particularly like is non-fiction about interesting events, like “Endurance” about Shackleton’s failed voyage to the South Pole. It’s a great book and I learned more about leadership from it than all the other self-help books combined.
For Android, I've been using URLCheck[0] for opening any link system wide, to clean the URL and check for redirects and open in specific browser. Just have to set it as your default browser

[0]: https://github.com/TrianguloY/UrlChecker
Not to mention the original Seinfeld episode about it.
Looks great! Is the one purchase price for use across iOS and MacOS? Or two separate purchases?
The AI generated images are just going to be that much more toxic for real young people.
As a new england catholic, the only reason any catholic related organization isn't as hell and brimstone and guilt filled is simply a desperate attempt to seem more "progressive" and retain a following. Plenty of Catholics are openly hostile towards the current pope because he has the audacity to not aggressively attack the gay community, even though he doesn't condone it.

The organization itself is still rooted in angry, spanish inquisition style purity tests, and they openly push those views anywhere that isn't too progressive. For example, the same catholic church has pushed misinformation and propaganda all over africa to discourage condom use.
Blocked by corporate policy. What kinda deets are you keeping in your robots.txt?
You could say the same about your valuables but it turns out most of us aren't that creative.
Daydream: Run your actual Evil Conspiracy through some easily-overlooked side channel. (Say, code words hidden in your regular social media rants.) Fill your encrypted messaging channel with dirty jokes, racist comments, and similar "legal but odeous" stuff. Let the DoJ build much of their case around your encrypted messages. Near the end of your trial, when it looks like you'll be taking a long trip to Leavenworth, break down and release the encryption key.
As an integrator of vision solutions, smart cameras firmly occupy the space of "Nobody Ever Got Fired For Buying IBM"

Though with recent developments in machine learning, the case for PC-based solutions is a lot easier now than before. Behind all the fluff and shiny marketing, the incumbents are very stagnant.
I'd choose Java over Kotlin in 2023, in fact I'd do so most years. I'll pretty much take conservative language design over developer comfort every day of the week.
is it truly E2E encryption if it has a backdoor?