A tool is a tool. It has no say in how it’s used. AI is no different than the computer software you use browse the internet or do other digital task.

When its used badly as an outlet for escapism or substitute for social connection it can lead to bad consequences for your personal life.

When it’s best used is as a tool to help reason through a tough task, or as a step in a creative process. As on demand assistance to aid the disabled. Or to support the neurodivergent and emotionally traumatized to open up to as a non judgemental conversational partner. Or help a super genius rubber duck their novel ideas and work through complex thought processes. It can improve peoples lives for the better if applied to the right use cases.

Its about how you choose to interact with it in your personal life, and how society, buisnesses and your governing bodies choose to use it in their own processes. And believe me, they will find ways to use it.

I think comparing llms to computers in 90s is accurate. Right now only nerds, professionals, and industry/business/military see their potential. As the tech gets figured out, utility improves, and llm desktops start getting sold as consumer grade appliances the attitude will change maybe?

It delivers on what it promises to do for many people who use LLMs. They can be used for coding assistance, Setting up automated customer support, tutoring, processing documents, structuring lots of complex information, a good generally accurate knowledge on many topics, acting as an editor for your writings, lots more too.

Its a rapidly advancing pioneer technology like computers were in the 90s so every 6 months to a year is a new breakthrough in over all intelligence or a new ability. Now the new llm models can process images or audio as well as text.

The problem for openAI is they have serious competitors who will absolutely show up to eat their lunch if they sink as a company. Facebook/Meta with their llama models, Mistral AI with all their models, Alibaba with Qwen. Some other good smaller competiiton too like the openhermes team. All of these big tech companies have open sourced some models so you can tinker and finetune them at home while openai remains closed sourced which is ironic for the company name… Most of these ai companies offer their cloud access to models at very competitive pricing especially mistral.

The people who say AI is a trendy useless fad don’t know what they are talking about or are upset at AI. I am a part of the local llm community and have been playing around with open models for months pushing my computers hardware to its limits. Its very cool seeing just how smart they really are, what a computer that simulates human thought processes and knows a little bit of everything can actually do to help me in daily life.

Terrence Tao superstar genius mathematician describes the newest high end model from openAI as improving from a “incompentent graduate” to a “mediocre graduate” which essentially means AI are now generally smarter than the average person in many regards.

This month several comptetor llm models released which while being much smaller in size compared to openai o-1 somehow beat or equaled that big openai model in many benchmarks.

Neural networks are here and they are only going to get better. Were in for a wild ride.

Its not just AI code but AI stuff in general.

It boils down to lemmy having a disproportionate amount of leftist liberal arts college student types. Thats just the reality of this platform.

Those types tend to see AI as a threat to their creative independent business. As well as feeling slighted that their data may have been used to train a model.

Its understandable why lots of people denounce AI out of fear, spite, or ignorance. Its hard to remain fair and open to new technology when its threatening your livelihood and its early foundations may have scraped your data non-consentually for training.

So you’ll see AI hate circle jerk post every couple days from angry people who want to poison models and cheer for the idea that its just trendy nonesense. Dont debate them. Dont argue. Just let them vent and move on with your day.

Here’s the funny picture

deleted by creator

Thanks for sharing, knew him from some numberphile vids cool to see they have a mastadon account. Good to know that LLMs are crawling from “incompentent graduate” to “mediocre graduate”. Which basically means its already smarter than most people for many kinds of reasoning task.

I’m not a big fan of the way the guy speaks though, as is common for super intelligent academic types they have to use overly complicated wording to formally describe even the most basic opinions while mixing in hints of inflated ego and intellectual superiority. He should start experimenting with having o-1 as his editor and summarize his toots.

Hey @brucethemoose hope you don’t mind if I ding you one more time. Today I loaded up with qwen 14b and 32b. Yes, 32B (Q3_KS). I didn’t do much testing with 14B but it spoke well and fast. Was more excited to play with the 32B once I found out it would run to be honest. It just barely makes the mark of tolerable speed just under 2T/s (really more like 1.7 with some context loaded in). I really do mean barely, the people who think 5t/s is slow would eat their heart out. However that reasoning and coherence though? Off the charts. I like the way it speaks more than mistral small too. So wow just wow is all I can say. Can’t believe all the good models that came out in such a short time and leaps made in the past two months. Thank you again for recommending qwen don’t think I would have tried the 32B without your input.

Truck gang

At least their coworkers know who the vampire is.

I am glad to have helped you out! @angrystego I hope you enjoy searxng and it bcomes a useful tool in your life. Paulgo is an excellent first instance choice. It was my daily driver when I wrote up that guide and seems to still hold up well today.

Now I use search.inetol.net and can recommend that as a good alternative in case paulgo isnt quite what you’re looking for or has too many timeout api errors. As always its a good idea to visit searx.space and try out some of the top instances with highest response time.

The linked paper was a good read. Thank you.

Thanks for the recommendation. Today I tried out Mistral Small IQ4_XS in combination with running kobold through a headless terminal environment to squeeze out that last bit of vram. With that, the GPU layers offloaded were able to be bumped up from 28 to 34. The token speed went up from 2.7t/s to 3.7t/s which is like a 50% speed increase. I imagine going to Q3 would get things even faster or allow for a bump in context size.

I appreciate you recommending Qwen too, ill look into it.

Thanks, I shouldn’t have said I felt sad about it thats a little hyperbolic, just a little bothered. Im much more happy about finding a model that pushes my AI to its maximum potential while still being usable in real time.

I used to a hater of Kagi but honestly its a damn good alternative search engine. They are doing some actual innovation and are very transparent. I still prefer a good searXNG instance but searxng is more for technical people who understand decentralized meta search instances. Here’s my simple guide on search engine alternatives to help you get away from google best you can.

Google is finally collapsing under the weight of its own greed and lack of innovation. Now other companies are showing up to steal their lunch especial with the big monopoly case going on right now.

Here’s my old homepage hosted on a tilde on the Gemini protocol

https://portal.mozz.us/gemini/tilde.team/~smokey/

Here’s my new homepage hosted on a different tilde I just got up and running yesterday since the old tilde maintainer stopped communication a few months ago

https://portal.mozz.us/gemini/envs.net/~smokey/

The new one is bare bones right now I will work on moving over some of the better logs and articles. I talk about it more in the log I wrote up last night

https://portal.mozz.us/gemini/envs.net/~smokey/logs/2024-09-16-im-back.gmi

Learn more about envs.net tilde

Me, a nerd: its just a joke don’t go off on a tangent, dont go off on a tangent, dont go - just let it be… I just… I just…

I NEEEED IT

So achtbually, nature works with transcendental real numbers on the complex plane with uncountably infinite precision.

Lets break this math nerd statement down in a way normal people might understand. First, most numbers are multi-dimensional and live on a plane instead of a line. The straight integer number line like 0, 1, 2 is just a small slice of the plane. In this plane, imaginary numbers occupy their own dimension. Complex numbers which are made of both real and imaginary parts occupy another dimension.

Moreover, most numbers are also infinitely precise thus being uncalculatable. Their decimal places go on forever and ever without repeating or being representable with a ratio of integers. Its why we only have good approximations for pi instead of an exact pinpoint knowledge of it. There are methods to get closer and closer approximations but you need an infinite time frame to complete that unending process.

Theres actually somehow more uncountably real numbers than countable integers and ratios, even though they are both infinite. There are more decimal numbers between 0-1 than there are integers between 0-infinity. One form of infinity is literally bigger than another, and that bigger infinity is the one nature likes working with.

Moreover, most of our universal physical and mathematical constants are transcendental reals because nature gets a hard-on for baking multidimensional fractal holomorphic topology and complex nonlinear equations into its magical abstraction bullshit logic.

Theoretical physicist during the 20th century were VERY salty about finding complex and imaginary real numbers in their physical equations. Since it implies that complex numbers arent just imaginary tools of abstrction but somehow “real” and affects the universes physical machinery. Nonlinear dynamic equations put a bullet through the brains of classical scientific determinism. Thank you very much, chaos theory and entropy.

It’s not that we invented imaginary numbers, its that they were the missing piece to fully complete our understanding of algebra. With them, we finally graduated from cave man linear algebra, to discovering holomorphic dynamics which model the way natural systems actually work. After 2000 years of banging basic logical abstractions together to make a enough decent sparks of discovery for a real smoldering fire.

Computer processing power sure helped to visualize these higher dimensional topologies for our little monkey brains to process with our eyeballs in real time instead of just thinking about this stuff in the minds eye. I sure cant visualize a 4D hypercube let alone a 20ishD hyperstructure that AI image network picture forms brought down to three dimensions.

Really its a miracle that we have even a thin narrow portion of numbers we can compute, all our regular integers and ratios are islands distanced apart by an infinitely deep ocean.

In case you were wondering about the stuff in the image: Multidimensional AI activation map showing how and image AI organizes its knowledge on a neural network. Similar concepts or images are closer together.

3D mandelbrot set with the logistic map highlighted along its real number line axis. https://github.com/jonnyhyman/Chaos

minibrot zoom in

algae colony arranging itself into conjoined 2nd iteration sierpinski triangle, screenshot from a journey to the microcosmos video.

pascals algebraic triangle encoding the sierpinski triangle by if the number is even or odd (base/mod 2)

the dynamic map of where a pendulum will land if pulled upon by three magnets equally spaced given its initial starting spot. https://youtu.be/C5Jkgvw-Z6E

deleted by creator

Dear lord FlyingSquid I could handle the unhinged Trekkie rants but taking a picture of a monitor or TV screen instead of putting in the extra legwork to screencap? You’re not just unhinged, you’re a phoney. A big phat low-effort phoney!

Also thanks for sharing I really liked the video

My niece and nephew ended up in the system and I felt morally obligated to put my life on pause and help my parents get them adopted and taking care of them. I couldn’t even move back into the house as each child required their own room so for the past year I’ve been living in a tent in their back yard. The whole ordeal has been emotionally taxing, but also kind of rewarding in weird ways I didn’t expect.

In terms of the kids, its nice to be able to positively influence their lives and show them the kindness, love, and guidance I wish I had. When I make them laugh or they express gratitude It makes me feel like my existence wasn’t a complete waste.

In terms of living in a tent? I came to love it. It taught me to overcome many issues and made me much more resiliant. To better understand the difference between convinence and necessity. Most of the things you think you need, you really don’t.

From the basic survival stuff like adjusting to the climate, to building my own solar system, to learning how to clean myself and use the bathroom without running water. I minimized my entire lifestyle, let go of all the useless trinkets I thought I needed, and found the true basics of what a person really needs to be comfortable.

I also learned how to confront my fears of what other people think of me for daring to live an alternative lifestyle in their view.

I feel so mentally different from the person I was a year ago. More capable and confident. I feel like I can do anything, be anyone, go anywhere. I feel kind of great about myself and my situation in life. I feel like I’m an okay person living a genuine authentic life. Helping out my family while getting myself figured out.

Also given the current housing and renting market, I can’t help but feel like I’ve figured out a cheat code. "Affordable housing? That converted out car looks good enough to me. "

I dont think things would have gone this way had the kids not ended up in the system.

Lol when I read their comment I thought “Okay Biff Tannen”