rig666
rig666 on Hacker News
Yes because all the teenagers reading Marxist works are well adjusted and based in reality.
It's humorous how debased from reality John roger's quote is. It doesn't challenge Rand's ideas it just insults it's readers.
There's this stigma among her work as if it's dangerous, just like any other right wing idea.
But reality is she only asks that one better themselves.
She doesn't tell her readers to make a tort against another to right some perceived systematic wrong.
Unlike many modernly accepted ideas her works have never been used to justify throwing people in the gulag, ethnic genocide,or insurrection. She tells one that you are not entitled to money, sleezy money grabs do not pay in the long run, and that being hardworking + innovative will payoff in the end.
Also Tokens works are now considered xenophobic and racist by many people as well because the orcs are portrayed as this dark evil race that invades this quent European landscape. so nothing really passes the purity test.
I was just trying to learn how to use dfroidcl last night on termux and kept running into this error.
I thought I was doing something wrong.
Does my software have the right to read the contents of a DVD and sell my own MP4 of it then no.
If a streamer plays a YouTube video on there channel is the content original then yes.
When gpt3 was training people saw it as a positive.
When people started asking chatgpt more things than searching sites it became a negative.
Let's be honest. The mental gymnastics to avoid calling it a rescue is just a political knee jerk reaction to Elon Musk's ownership in SpaceX.
If you lose your ability to become objective based on your view no amount of philosophical discourse is going to be meaningful.
It's comments like this why "cope & seeth" has flourished in the modern lexicon
This is definitely true.
I find there's a certain irony in society that we condemn people who aren't sceptical of anything until they are then we condemn them again.
Some of the worlds greatest thinkers and innovators suffered social execution from their peers and were deeply depressed.
I had a friend recently tell me about how his excess power is put back into the grid and how he hopes our area sees negative rates eventually like this.
My cynical side was quick to point out that I would fire up my crypto miners if electricity was free for a few hours a day.
After talking to him more I realized we both had different take aways from the story of "the tragedy of the commons"
I lightened the conversation up by informing him he could do folding from home for a few hours to make sure his excess power went to a noble cause & thwart my zero sum approach.
One of favorite pastimes out here in the northwest is getting old books from pay by the pound thrift stores.
I've found over the years at anything past the 1880s people find worth scraping at their local thrift store. Based on the volume of them that I see it is definitely indictive of printing production of the time.
Or better yet make the switch to Linux. The steam deck really changed the gaming atmosphere.
I relate with this sentiment.
Part of me is happy that my whole house is filled with solid wood furniture for cheep, but I'm deeply saddened by people's lack of value for real things as well as I fell alone in my system of values.
It feels like we're living in a Huxley dystopia sometimes.
I like the cyber deck in theory but a project I've always wanted to take on that I felt would yield more value is to restore and upgrade an old ruggedized laptop.
I planned a project to restore an old getec v110 gen3 from eBay. They are often sold there with no hard drive or extra batteries but best part is most of the hardware is backwards compatible. Seemed like a ~$500 project.
I then found a new gen6 model on eBay for $1400 so I just got that instead. (Some pawn shop massively undervalued it)
I have this same issue. I just wanted to be able to put my thoughts to paper. Especially ToDo notes when the boss is verbally listing out everything they want you to do off the top of there head. I could never keep up or transcribe but I've found more of a balance since I've started practicing shorthand stenography.
Stenography or gregg shorthand can have you hand writing at 60-80 WPM depending on how good you are. While I'm not that fast yet I am to the point we're I can grab some conversations entirely on paper and nothing gets by me anymore. It used to be a industry standard to learn if you were a reporter before hand held recording devices entered the picture and it was taught at nearly all schools across America. Why we quit teaching this as a country I will never know.
I am trying to learn typing stenography as well but the learning curve is a bit more steep for me.
I do find this to be somewhat true as well.
Most tech journalists make news for everyday people and not really for people and not for technical professionals. There's some holdouts but its few and far in-between.
My guess would be that men aren't selective as women.
Therefore, for the handful of men that most women find generally attractive the effect is a lot easier to measure.
Yes men can have unrealistic standards at times but if you ever go to your local strip club and see the low attractiveness of your average striper you will notice men can be a lot more "accepting".
>$15 per search
What chumps, just use https://freepeoplesearch.com
Ya it has ads but out of all the hundreds of "free" sites it has actually the most amount of free information.
It's shocking to see the data that has been collected on a platform as simple as Twitter.
During collage I was intern at a legal firm, and one thing I've learned is the more info someone can get on you the stronger the case. Regardless of the content weather good or bad.
Makes me want to strengthen my opsec big time.
my first way of showcasing this was by taking a spare computer sitting around the office then writing a little python script that used and LLM to parse information out of file names that our finance team would use to label rebilling invoices. the invoices included the client, payment date, amount, late payment status, etc write in a concluded an completely non consistent file name.
the little office PC had 16gb of ram so it was usable for an LLM via the CPU and I just let it run for like 2 days.
I continued with my normal work and when it finished I had an intern spend 1 whole day validating just 6% of the data and found it to be 97 percent accurate.
I made some obvious changes an was able to fill in that 3% gap.
(later we did find a hand full of errors but over all you could consider the validation 99% accurate)
While it really resonated with my management I felt worried I wouldn't be able to replicate these kind of results on other projects.
THE ONLY REAL ADVICE I CAN GIVE ON AI PROJECTS IS . . .
don't let your managements expectation of LLMs out weigh its capabilities.
I'm sure I speak for many people here when your non-tech fluent directors get together and think GPT4 is some sort of deity.
GPT4 smart (or used to be at least) ill give it that, but small locally hosted 7b/13b LLMs are very limited and people for whatever reason get AI infatuation the second they finally see you show direct value in it they will lose there shit in its assumed capabilities. you got to be direct with them that no matter what dumb video they saw on Sam Altman, what your are proposing is not that. Be very clear in its possible scope because there is some idiot in our organization that will assume assume you can programmatically answer prayers.
I actually had this guy from our networking team try and raise a concern about the LLM going sentient and us having a "Skynet" problem. granted this was back in march/2023 so AI histira was a little more rampant but still.
tl;dr
my recommendation for your pdf project is run https://github.com/oobabooga/text-generation-webui.
if your can get a 30 series GPU in your company
Then run a 13B 4bit model that can pull info, assign tags, run minor analysis on your text.
else find a spare 16gb machine and do the same but but over a longer time scale.
run a prompt that checks for hallucinations.
"does the following text make sense? previous prompt + text
if yes
then keep
else
make intern do it.
GPT-j-7b is still one of the best models because it has indexing & categorizing at the main prosperous.
other models are great but core idea behind LLMs is that its just a high level auto complete
This isn't our field but its something similar.
So say some of your clients are old publications. Some have articles dating back to the 1800s. Nearly all the work is digitized but searching for something in the great categorized mess is a nightmare. As most old publications are downsizing they don't have the man power to curate there archives but are inundated with research requests nearly 24/7.
As a service to help these publications maintain there image as an organized informative keeper of historical records you could do the following.
1. have an LLM make a series of tags for all the articles.
2. make a summary for all the articles to improve search results.
3. provide a service to them or up sold to their clients were a question/prompt can be ran across every article or a section of articles.
> how is the performance/cost of running vs more specialized models trained for the task.
most models are GNU licensed so thats not an issue. But I imagine you meant the age old question of hosting yourself vs using openAI. Truth is as of now it currently is not foretasted to beat using one of the less intelligent models on openAI. hardware cost alone yes but Dev time is very expensive.
Lucky were a small company & our CEO sees this as training. Because LLMs are so new there really isn't a large labor market for it yet. If our devs and engineers get in this early then we can beat others to market as the technology develops and new opportunities come to light.
on top of having possible HIPPA, GDPR, or other security laws to follow that OpenAI has been very shooty about, we do not want be at the whim of OpenAI or another SaaS provider on a mission critical part of a vertical. They have talked about depreciating old model. As well they have had content changes in there models to placate political critics, well not realizing that this pulls the rug out from under developers that need any sense of stability from there product.
Nothing complex actually but it is a little messy and cobbled together
I run oobabooga's API on docker with a 13B 4bit quantized model. https://github.com/oobabooga/text-generation-webui
We use GTX 3060s because there the best bang for there buck in terms of VRAM. Our current set up is mostly proof of concept or used of inner office work well we work on scaling to get a fluid handler built so it can distribute workloads around the multiple GPUs.
Lucky the crypto mining community laid the ground work for some of the hardware.
Ya prompt engineering can be a more difficult than it looks. Especially when dealing with less intelligent models.
That's why I recommend having an error checking stage were the model gives a model should be able to return a simple "True" or "Yes" when presented it's last response. This eats up more GPU time but the signal to noise ratio improves drastically.
Just a suggestion but they have 4bit quantified models that are even smaller and faster that the 8 bit.
Your average 13B 4bit model is only about 8-9gb of VRAM. Using this I bet you can get a much higher perimeter model on the 3090.
I host an LLM because it's cheaper for my use case.
To many people focus on how an LLM interfaces with users but I believe the best most reliable use for an LLM is for analyzing free form text and having it put that data into quantifiable fields or tagging.
Things like this would have taken an interns or overseas laborers weeks to months to do can now finally be automated.
This is probably more real than an actual alien craft being kept a secret for decades.
Ancient aliens plays on loop on history channel 24/7 on top of a plethora of alien moves being made every year.
As well it's the one superstition that all people sort of believe as well. Far right (that isn't hard religious) is deep into these conspiracies. Far left that does shrooms all-day while fondling crystals and playing with tarro cards like Pokemon also like UFOs as well. Even general center left atheist and scientists at least likes the idea of life on a distant plant even if we aren't in possession of an alliance craft.
In school and the work place talking about religion can cause problems with HR/administration or even a lawsuit but you can't get in trouble for talking about aliens.
Even the popular avatar movies tries to mix aliens and religion into an easy native for people even if it's about a human invasion. So much so that people suffer "post avatar depression"
https://www.cnn.com/2010/SHOWBIZ/Movies/01/11/avatar.movie.b...
Aliens in a since is the new "god of the gaps" to help people make since of things we don't fully understand.
A few years ago I was hired on at my local sheriff's department and I was so disappointed that we did not have a dot gov domain.
For me its a mix. I've worked at startup that are built apon the core idea of they Y because the CEO did t like there stiff working environment of there last job. Reality is though your hardest workers do great under theory Y. However, most people need theory X or they will just squat and take advantage of the lax atmosphere.