skysight-inc/HackerNews huggingface dataset:
It's possible that people looking back will consider that the mistake was putting all the content online. Perhaps even upstream of that: the first mistake was digitizing things. The music industry certainly didn't realize when they adopted CDs that they were starting down the path to self destruction... the newspaper industry likewise didn't notice how profound taking their newsprint product and packaging it as HTML would be...

And now we're unleashing ML training on all that digital, online data. Which industries will discover that this is the thing that means putting your data online, digitally, was a mistake? Certainly artists are feeling it now... maybe programmers, too, a little.

So how do you put the genie back in the bottle? Live performances, with recording devices banned? Distribute written material only on physically printed media - but how to prevent scanning? Or just escalate the DRM war - material is available online, but only through proprietary apps on locked down platforms?

Or is this going to take regulation - new laws to protect copyrights in the face of ML training?

It wasn't always the case, that you could assume that if some information exists, it should show up in a single search. That's an expectation we invented only about 25 years ago. It's possible that the result of all this is that we figure out that we can't actually sustain the free sharing of information that makes that possible.

The problem is, to borrow a phrase: information wants to be free...
non-paywalled version: https://thebrunswicknews.com/news/business/tesla-accused-in-...
I once flew across the Atlantic from New York to London while using that middle row as a bunk-bed. I remember that being a 5-seat row, but I could be mistaken, it was 1988 after all.

About a dozen of us economies in an almost-empty jumbo. We all had a 'bed' for the night. It was a bit disconcerting to wake up, sit up, and look around. Nobody else was visible. It was like being the only person on a ghost flight.
> You know what still pisses me off?

Yes, because ChatGPT knows that is the most probable reply to the prompt.
It may be a location thing, but in the upper midwest I see just absolute garbage on LinkedIn and just mostly garbage on Indeed. Both are full of consultancy garbage, but LinkedIn refuses to show me local jobs. I suspect they don't want to return a mostly empty search page, so they fill the results with Accenture consulting listing that are supposedly for my smallish metro. Indeed at least shows me local listing.

Although my situation might be a hit niche for this board, since I'm in a small area and I'm not interested in remote work for mental health reasons. But odd that a geography change causes such a complete reversal of which site is better. LinkedIn is still worth it for the professional network features, but honestly I kinda would prefer the Craigslist interface since that is actually searchable.
No need to go to university. Just ask ChatGPT the right questions over a period of time and you're good to go with the exams.
The flaw in your pseudo-mathematical argument has been pointed out to you repeatedly (maybe twice by me?). I should give up.
This is such a low effort comment! How is one incident in a state which is not the main destination for startups or foreign investments help anyone? Also, how often have you posted anything about startup scenario in India to help investors?
Amazing toy! It shows a wonderful demo about how we can use GPT during coding.

However, it also shows the limitation of a language mode: it doesn't really do logic thinking. Like this example: https://whatdoesthiscodedo.com/g/84150d0. The code is from https://stackoverflow.com/questions/70195388/remove-specific... . In the result, it says "Note that since 'March' is at index 2 (which is not greater than 0)".
Isn't stuff like this covered in the booklet you are supposed to read when you get permission to trade options? From the OCC or whatever?
Colleges Have Been a Small-Town Lifeline. What Happens as They Shrink?
The solution is simple: have cameras in all the elevators in the city, all connected to an AI control system, which observes all the people using the elevators and their use of the buttons. The AI system determines which people are assholes abusing the door-close button, and ignores the button when they press it. As a bonus, it frequently ignores them if they're the only person requesting an elevator, and sometimes locks them in the elevator for a few minutes when they're riding alone, and then alters the video footage to hide this occurrence, so they look insane when they complain about it.
Why are they calling it purple if it's really blue?

Also, elastic is one of the worst siems you can choose for threat hunting and analysis. The language is incredibly limited, the parsing is confusing, there's no no built in aggregations that make sense, you can only search over one set set of data at a time (no joins). And it's even more limited through the search bar in the kibana GUI. Lastly, it uses techniques that estimate data results for the sake of speed. It does not guarantee full accuracy when returning data.

Arkime full packet capture? Full packet capture relevance has faded greatly since the early 2010s due to encryption. It's all about host based logging like EDR, sysmon and windows event logs, while shored up by specific cloud-based app logs, or pulling forensic artifacts with osquery (or similar). People aren’t writing or looking at suricata rules much anymore, unless you're lucky enough to have an environment being proactively man in the middled, which is rare.

This is a pretty interesting distro, but don't expect to be up to date with modern threat hunting, soc analysis, incident response or threat detection. It could be a nice intro in college, but you'll want to get modern data sets into real siems or DBs asap.

The final thing I have to say is that purple team is not a set of tools. These are all blue teamer tools. Purple team is when a red teamer works directly with a blue teamer to create an attack and watch how the blue team systems and people react when it's happening. It's a drill that captures misses.
The + came after that, to cancel that out.
ASAP5: A predictive PDK for the 5nm node
Yep, here is the React Router team getting it wrong(among other things): https://github.com/remix-run/react-router/issues/7634
s/to pay/and pay/ but the point stands doesn’t it?
I used it on a very simple ray triangle intersection function, which at first it did surprisingly well. But then I changed the name of the function to something completely different and all hell broke loose. The output was total nonsense despite the code being exactly the same.
What's "Kleenex'd"?

Nevermind, I went and googled it.
By all means. Let them take their nice things and go away if they must. We'll be right here on the other side freely exploring the limits of technology.
How could one show such a thing?
Do I understand it correctly that you are the one behind TeaVM? If so, would be interested to help out with the documentation if you can reply to this message with your email
> an m&p

A what? None of my search results seem relevant.
Everything already is. It’s a perspective.
You can't teach the model things
Quoting from the article you linked...

"But at least as of now we don’t have a way to 'give a narrative description' of what the network is doing. And maybe that’s because it truly is computationally irreducible, and there’s no general way to find what it does except by explicitly tracing each step. Or maybe it’s just that we haven’t 'figured out the science', and identified the 'natural laws' that allow us to summarize what’s going on."

Anyway, I don't see why you think that the brain is more logical than statistical. Most people fail basic logic questions, as in the famous Linda problem.[1]

[1] https://en.wikipedia.org/wiki/Conjunction_fallacy
Google limits Firefox Android to a limited version of google.com [1], whereas Chrome Android gets the fancy one [2].

[1] https://i.imgur.com/kdFibt9.png

[2] https://i.imgur.com/aElJe7z.png

You can download an add-on to change the user-agent string and get the same google.com experience as Chrome: https://addons.mozilla.org/en-US/android/addon/google-search...
I suspect most AI agents will exist on highly decentralized networks
For additional reading, here is the popularized article that led me to this research:

https://scitechdaily.com/scientists-warn-common-cleaning-che...
I personally know the open agriculture stuff was a joke, I got wrapped up in it and actually had several conversations and email exchanges with Caleb Harper (not in any shady or illegal way, I just sold kits of their open source food computer after seeing Caleb's TED talk, until I found out they didn't work, and never did, and don't provide any real benefit over something like an Aerogarden)

https://www.wired.com/story/dirty-money-and-bad-science-at-m...
You are correct. The process of generating high-quality training data is a critical component of building and training AI language models like me. While much of the training data can be collected through web crawlers and other automated means, there is still a need for human-generated data to supplement and refine the training corpus.

There are several methods for generating human-labeled data, including crowdsourcing, annotation, and manual labeling. Crowdsourcing platforms like Amazon Mechanical Turk can be used to solicit human input on specific tasks, such as labeling the sentiment of a particular text or image. Annotation tools, such as Prodigy or Labelbox, allow data scientists to create custom labeling schemes and train human annotators to label data with high accuracy and consistency.

Manual labeling, while more time-intensive and costly, is often necessary for more complex labeling tasks that require a high degree of expertise or domain knowledge. For example, in medical language modeling, trained medical professionals are often enlisted to label and annotate medical texts to ensure accuracy and relevance.

Overall, generating high-quality training data is a challenging and time-consuming process that requires a diverse set of skills and expertise. It involves a combination of automated and human-generated data, as well as careful curation and pre-processing to ensure that the data is of high quality and relevance for training AI language models like me.

Here is some free training data, generated by a human.
Geez, sorry you dealt with that. In my town, this would never pass inspection, which certainly costs something in taxes, permits, and labor cost, but I think it would be difficult to end up saddled with bad work.
Nuclear would take hundreds of times less land area and preserve natural ecosystems. Also, technically it can be built anywhere, and it will be just as efficient, whereas solar is way less efficient outside of certain geographical latitudes. Which means you need to double or triple the use of land to reach the same power generation.
Interesting. I can’t reproduce. Is it consistent across browsers? Can you try turning off Adblock?
This sounds awesome, but should a user worry about spyware? Wish they made one as small as the those Sony Mini or iPhone mini phones.
I can relate, but I really appreciated what Herbert did there for the 5th book, which had much more enjoyable characters for me, like the 1st book.
>>I think it can actually do all those things reasonably well.

I don't you get it. Or even AI gets it.

Having pet slaves is a very different feeling. It is not about getting work done. It is about the feeling of power, control. To both create and destroy.

GPT won't be a problem for the same reason why programming itself never automated programmers out of jobs. The current state of programming is already good enough to put nearly all of programming people out of work. It hasn't because people like to rule over pyramid structures. That won't change with GPT.
I agree with your point, liver enzymes (or all medical tests) don't have relevance without specific pre-test probabilities and diagnoses in mind.

But what you're arguing we should do is what physicians are taught to / should do. We also have plenty of great point of care resources (UpToDate being the most popular) that provide current evidence based recommendations for investigation of abnormal bloodwork written by experts that you really shouldn't be doing arbitrary tests.

Without knowing the details of your case I can't comment very well, nor is this my area of expertise, but a child with multiple persistent lab values seems out of the scope of most primary care physicians, and why multiple? Are you somewhere where you weren't sent to a paediatrician or don't have access to paediatric hematologists/hepatologists? Some conditions unfortunately involve a lot of investigation.

There are obviously also bad doctors. I don't mean to suggest every one of us is good (just like any profession). AI would be a great tool to augment physicians but we just have to be careful about what outcome we are trying to achieve. Diagnosis isn't a linear thing like increasing transistor density it comes with tradeoffs of overdiagnosis and harm.
Point of clarification: nuclear does not have low OPEX. Nuclear operators in the US (Illinois, Ohio, Pennsylvania) have been reporting that their 40 year old nuclear plants were no longer competitive with natural gas (before the Russian invasion of Ukraine drove up prices).

Nuclear has high CAPEX and high OPEX. Nuclear plants have lots of employees and maintenance on an irradiated nuclear reactor is expensive.

What they have is low fuel costs.
Amazon is starting to invest in rust internally, strategically, since joining some of the leadership (https://aws.amazon.com/blogs/opensource/why-aws-loves-rust-a...).

It's considered a good replacement for C++, and like go, is really good for releasing tools. Tools like the AWS CLI... that work great when you can plop a single exe down as your install story, as opposed to say a python install and app (aws cli).

But it's also still new. Releasing a tool like this is likely a big deal in the area, and they're likely quite prod of it due to the effort of things like getting legal approval, marketing, etc, let alone the cool nerd factor of a filesystem, who doesn't want to show off by having written a filesystem or hell a fuse plugin... file system over dns anyone?
Love it. I put in a function that was written in poly (a synthetic biology library in Golang):

https://whatdoesthiscodedo.com/g/40c3316

It was able to figure out the sequences referred to are DNA sequences from context, which I find neat.
They are excellent. Not quite human level, but very very close. I was curious about Chinese-English translation capabilities of the latest crop of models and on more difficult texts a bilingual model like GLM-130B makes several errors per page while GPT-4 is down to probably just around one.

Interested to see how that plays out for programming languages.
You tech people can't see 10 feet in front of your face. You brought this into the world. For what? Because "progress."
I think this a problem that is worth solving as not only the biggest companies are concerned with security, many SaaS and tech companies are concerned about source code of product become compromised.
>I gather you don't share that view - but you should know there are a lot of us out there.

Releasing something free-as-in-libre as a specific concept is irrelevant; I would publish certain things free-as-in-libre, others free-as-in-beer but with certain rights reserved, others commercially with certain rights reserved, others with all rights reserved. It depends on what it is I'm doing.

Insisting on releasing everything free-as-in-libre just because it's libre is, as far as I'm concerned, nonsensical. Licensing is a tool to be used appropriately, like any other tool; it's a means to an end and not the end itself.

>It's called having passion

I argue there is nothing as demotivating as having your passion denied by others shamelessly taking what you made and doing whatever with it without a single care for you, the creator.

Abiding by licenses is a matter of respecting the fact that someone, somewhere took their time to make something. The least you could do is respect their wishes, be they libre or closed, free or commercial, or anywhere in-between.

I'm willing to bet that a majority of the artists lambasting "AI" stealing and abusing their creations for training materials would be happy to provide training materials if they were respected and compensated for their time instead of getting treated like free real estate.
Hopefully not so much these days.

Those of us who worked in the Electronics industry in the 1980s did come into contact daily.
That seems okay, and correctible with a bit of watching movies and reading children's books/comics.
And yet they have nothing to show for it other than some words on paper. Meanwhile OpenAI is eating their lunch by offering an actual product that people can use and interact with. Nobody cares that Google did the research they used to make it. Talk is cheap.
> What happens if you don't actually spend VC money? Do they still get partial ownership?

Yes. Just like you still pay interest on a loan even if you just let the cash all sit in a bank account.
Year annotations use round parentheses on HN.
The concepts of lift and flight actually are the same for birds and planes and insects and drones and hellicoptors…… or fish! And whales. And any other organism that uses voyance and lift to ‘fly’ through the ‘medium’.

Every form of intelligence we know of is operating in a fundamentally different environment to what these programs are doing.
We have a bubble in SWE hiring in the USA, it peaked in July 2021 at 220% of normal hiring!

https://fredblog.stlouisfed.org/2023/03/was-there-a-tech-hir...

It makes no sense to keep all the unemployed H1Bs since they usually are laid off as a last resort due to the impact it will have on their lives. Since they often get favoritism in layoffs, why favor them even more?

I know many American Citizens for example a Chinese-born and naturalized guy who said in 2009 he was laid off first in a team of 18 Chinese H1Bs because the rest of the team "would have to go home!" He was not just good he was an authority on OSPF - I hired him for my startup in 2003. In 2011 he went back to Cisco in the same division at an architect (even higher) rank ...
How do you know the Stack Exchange answer was correct?
No, the opposite. GPT-4 is an “assistant” you can ask for help.
I think you replied to the wrong post?
Still counts as a bubble. The bulk of the tech hiring done during that period wasn't just to meet the increased pandemic demand but rather based on lofty corporate projections saying that the demand was here to stay. But then a couple years later the exponential growth didn't continue, didn't slow down, didn't even stabilize – it completely reversed back to pre-pandemic levels. And then all those companies found themselves with significantly higher payroll costs than they could afford.
What happens if you lose your job right and the end of your visa?
The issue isn't the subtle details of the law. The issue is there is zero chance you'll show up in search rankings because of the strength of the blender association and there is a similarly almost 100% chance name confusion will hurt awareness of your product, for all the same reasons.

Blender is a great name, it's unfortunately already taken, and you're just hurting your project by pretending that's not the case, as the comments here indicate.
Sure. To me, my daughter's life is worth more than yours, your family's and everyone else who reads HN. I accept that the inverse is true for you.

If I had to press a button to choose between my daughter or all the strangers on HN and their dogs, I would press it and wouldn't even blink.

If it were a stranger's daughter, though, I'd probably ask some questions about the daughter, and if I can't determine that there's something about her that would be worth a million strangers, she would have the same value as an average stranger, so I would opt to save a million strangers.

If I had to choose between a stranger and all dogs on Earth, I would ask some questions about the human, and, absent any red flags, I would choose the human, simply out of the need to preserve my own species, even if I think there's more than enough of us and having dogs around would probably make a lot of people's life better than that one person.
Jones on Control of Stepping Motors a Tutorial
Not all links go away over time. It's awesome this page is still up as I learned a lot from it. I linked this page in May '97: http://inlay.com/cnc/compute/compute.html
It's not relative to the bank but to the bank branch. I have an account with Chase and I made it clear that I'll be depositing $2K to keep the account on, and I would not be using it for day to day transactions. The branch manager was cool with that and we chatted for an hour or so about different stuff and he actually gave me some real advice.

This is not about Chase, it's about the branch and the branch manager. I'm pretty sure another branch manager will be annoyed talking to a $2k client in deposits with no in/out flows and might not even consider them for an account.

If you want to bank with a specific bank, shop for the branch.
investing in yourself is the best investment you can make, and yet you don't want to spend any money
I have recently thought of feeding the suggestions from Vale (https://vale.sh/) into an LLM along with your writing. Currently I just simply ask an LLM to take what I wrote and put it into a more "active voice". I then manually edit my writing to make it more "active" if I choose -- I do not just publish LLM generated content unaltered.

Note: I did not ask an LLM for this comment.
Ask HN: Are there paths to mortgage assistance as a founder?
I am a founder and just closed our Series A for US$15M.

Is there a way to get the company or the bank to help me get a home mortgage which will be more attractive than going to Wells Fargo, Chase, or a random mortgage broker?
For the same reason that the police being able to have a person look up in a physical printed file who owns a particular car via its license plate is not the same as having a network of cameras and computers that track every car in the city.
I don't think it's that well known, and for an advertising company, Google's marketing department doesn't seem very good. For instance, Google translate has been an ML model for more than a decade. They dropped a bunch of hand written code and replaced it with a model. The Google home assistants use an ML model to do their speech to text transcription. Google's tensor hardware is world class for ML research. But all people say is that Google search sucks now and wah they killed off Reader/Stadia/etc. Transformers will possibly have a bigger effect on society than Google search did and I'm doubtful Google will get proper recognition for that outside of circles like ours.
The Maldeves are still there
Considering who are actually writing the laws right now... yeah, it may even improve things for all that it matters.
Your link says that that lack of wind caused a loss of 14% of average generation (capacity +9%, generation -6%.) Overbuilding by 16% is a pretty easy task.
The specific operations involve subtracting the integer value from a predetermined constant (0x5f3759df), shifting it right by 1, converting it back to a float, and then performing one iteration of a Newton-Raphson approximation using the threehalfs constant and the original input value. There is also a commented-out line for performing a second iteration, but it is not necessary for most use cases.

So this is actually the perfect counter example to all the other "impressive" ones as this particular explanation can't be derived from a pure reading of the code.

It correctly recognized what it was given as the quake inverse square root algorithm and plagiarized bits of the explanation thus sounding l33t!

Still, very useful.
> function closures are how classes are actually implemented in JavaScript

Quite the opposite with V8.
Embed and broadcast Whisper speech-to-text in your Phoenix app in 15 minutes