Melobol
@Melobol@lemmy.ml
- Comment on LLMDeathCount.com 5 days ago:
Again llm is a misused tool. They do not need llm they need psychological help.
The problem is that they go and use these flawed tools that were not designed to handle these kind of use cases. Shoulda been? Maybe. But it is not the AIs fault that we are failing to be a society.
You can’t blame the bridges because some people jumped off them. They serve a different reason.
We are failing those people and forcing them to tirn to llms.
We are the reason they are desperate - llm didn’t break up with them or make them loose their homes or became isolated from other humans.
It is the humans fault and if we can’t recognize that - we might as well end it for all. - Comment on LLMDeathCount.com 5 days ago:
I believe it is not the chatbots falut. They are just the symptoms of a broken system. And while we can harp on the unethically sourced materials they trained them on, LLM at the end of the day is only a tool.
These people turned to a tool (that they do not understand) - instead of human connection. Instead of talking to real people or professional help. And That is the real tragedy - not an arbitrary technology.
We need a strong social network, where people actually care and help each other. You know all the idealistic things that capitalism and social media is “destroying”.
Blaming AI is just a smoke screen. Or a red cape to taunt the bull before it gets stabbed to death.
- Comment on China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs 2 weeks ago:
The summary was for the paper the article was based on. And it was also put it in an easier to understand language.
- Comment on China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs 2 weeks ago:
In that case I’m editing it. I’m sorry for my mistake, I thought it would be useful to a point. That’s why I said it was AI.
- Comment on China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs 2 weeks ago:
That’s fine. Just have a good day :)
- Comment on China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs 2 weeks ago:
I asked chatgtp to explain the paper - here is what it said - so you don’t have to:
Many computing tasks (especially in things like signal processing, wireless communications, scientific computing, and AI) boil down to solving equations like A x = b (a matrix times a vector equals another vector). Nature +1
Traditionally these are solved in digital computers (with floating-point arithmetic) and for large problems this can be slow and energy-intensive. Nature +1
An alternative is analogue computing where you do operations more directly in hardware (for example using resistive memory devices) rather than converting everything to the digital domain. These can potentially be much faster and more energy-efficient. Nature +1
But analogue computing has historically had a big problem: precision (how accurate the answers are) and scalability (how large a problem you can handle). This paper addresses those issues.
What they did
They used resistive random-access memory (RRAM) chips — specifically memory devices where each cell’s conductance (i.e., how easily it lets current through) acts like a number in a matrix. Nature +1
They built an analogue system that does two key steps:
A low-precision analogue matrix inversion (LP-INV) step.
A high-precision analogue matrix-vector multiplication (HP-MVM) step, using bit-slicing (splitting the number into parts) to boost precision. Nature +1
They also developed a method called “BlockAMC” (Block Analog Matrix Computing) — this partitions a large matrix into blocks so that the analogue method can be scaled to larger sizes. Nature
They built the hardware: RRAM chips in a foundry (40-nm CMOS process) with a 1 transistor-1 resistor (1T1R) configuration, supporting 3-bit multilevel conductance (so eight states). Nature
They experimentally solved a 16×16 real‐valued matrix inversion with ~24-bit fixed-point precision (which is comparable to 32-bit floating point) using their analogue system. Nature
They also demonstrated a real‐world application: detection in a “massive MIMO” wireless-communication system (16×4 and 128×8 antenna setups) using high-order modulation (256-QAM). Their analogue solver matched the performance of a digital processor in two/three cycles. Nature
They measured the speed (the analogue inversion circuit converged in ~120 ns for 4×4) and estimated that their approach could offer ~1000× higher throughput and ~100× better energy efficiency than state-of-the-art digital processors for the same precision. Nature
Why it matters
If you can solve matrix equations much faster and with much less energy, that opens up possibilities for e.g. base stations in wireless networks (where there are many antennas), real-time signal processing, AI training, scientific simulation, etc.
Using analogue hardware like RRAM arrays helps overcome the “von Neumann bottleneck” (the slowdown/energy cost caused by moving data between memory and processor) because the memory is the compute. Nature
The fact that they reached high precision (comparable to digital float32) is important because one of the big criticisms of analogue computing has been that it’s too “noisy/low precision” for serious tasks. This shows you can do it.
The scalability (through their BlockAMC approach) means this isn’t just a toy demonstration of a 2×2; they show up to 16×16 and hint at larger.
Important caveats & challenges
Their currently demonstrated arrays for LP-INV are small (8×8) and scaling to much larger arrays still has engineering challenges (device reliability, wiring resistance, noise, etc.). Nature
The BlockAMC algorithm introduces some overhead when you scale up. The complexity isn’t strictly constant for arbitrary large matrix sizes; there is some cost. Nature
While they show big energy/throughput gains in estimates, real‐world integration (with all peripheries: DACs, ADCs, control logic) will still need refinement.
Applications: They show wireless signal detection (MIMO) which is great, but other domains (scientific computing, general AI) may have different requirements (matrix size, sparsity, conditioning).
The analogue computing world still has to deal with variability, drift, calibration, faults in memory cells, etc. The paper mentions some of these (e.g., stuck-at faults) and how to mitigate them. Nature
In everyday terms
Imagine you have a huge table of numbers (a matrix) and you need to solve for a vector x so that when the matrix multiplies x you get some result b. This is like solving a system of linear equations. Normally, a computer does this step‐by‐step in digital form and it takes time and energy (especially for large tables). What these researchers did is build a physical piece of hardware where the table of numbers is literally encoded in a memory chip (via conductances) and the solving is done via analogue electrical flows. Because electricity flows in parallel and instantly (relative to digital clocked logic), it can be much faster and more efficient. They also built in ways to ensure the answers are very accurate (not just approximate) and to scale up the method to realistic sizes. In short: they brought back some of the old “analogue computing” idea, but using modern memory chips, and showed it can match digital precision while running faster / lower-power.
- Comment on Historians never talk about the "good old days". 4 weeks ago:
It’s because they’re way more aware of the drawbacks of certain eras.
Slavery, racism, inequality, lack of resources, lack of education, lack of clean water, how many of your children will make it to adulthood, famine, floods, lack of roads…
Every “good old day” was worse in some aspects. - Comment on Automattic CEO calls Tumblr his 'biggest failure' so far 4 weeks ago:
Ahh that makes kinda sense!
Tho I’m not interested much in porn - I am very pissed about credit card companies deciding for the users of what they can purchase or not. I believe crypto will help a lot with these overreaches in the future. - Comment on Automattic CEO calls Tumblr his 'biggest failure' so far 4 weeks ago:
Since I am out of loop - my bias is still: why wouldn’t (furry) porn be profitable? :D
- Comment on Why do so many boomers and even some gen x believe so peristently that if you dressup and show up in person anywhere you will get whatever you went there for? 4 weeks ago:
That’s also true :)
Sometimes for example hotels even if they are big chains, prefer to see a face. - Comment on Why do so many boomers and even some gen x believe so peristently that if you dressup and show up in person anywhere you will get whatever you went there for? 4 weeks ago:
Obviously not every job is open to people who show up, but if you just want any job - any small (mon and pop) store will be impressed.
Honestly I saw some job applications that peope would not believe… - Comment on Why do so many boomers and even some gen x believe so peristently that if you dressup and show up in person anywhere you will get whatever you went there for? 4 weeks ago:
The respect is the key word. Nowadays most people don’t give a shit. So when you do, you stand out. And if you treat someone with courtesy they will be much more favorably towards you.
- Comment on Why do so many boomers and even some gen x believe so peristently that if you dressup and show up in person anywhere you will get whatever you went there for? 4 weeks ago:
I believe that asking respectfully won’t hurt. And if you are lucky you can get ahead of people who do not show up.
- Comment on Why do so many boomers and even some gen x believe so peristently that if you dressup and show up in person anywhere you will get whatever you went there for? 4 weeks ago:
It’s highly depends on a situation. But generally speaking it does work in a lot of situations.
You want work? Clean up, print a dozen resumes - apply online (if they have a website), then go and show up in the physical location. You will be noticed waaay more than a silent application.
You want to solve a service issue: even with big probiders atnt, T-Mobile there is a chance that a corporate store manager can do something.
Sometimes even between offices it can help if you show up in addition to the regular channels.
Being proactive, clean and respectful can take you long way. - Comment on xkcd #3149: Measure Twice, Cut Once 1 month ago:
This should be cross posted to the woodworking community :)
- Comment on what can I do at my workplace during downtime? 2 months ago:
Get some audio books / tts books / podcasts and craft away. You could even start etsy.
Easy to put away and clean crafts: crochet (amigurumi), knitting, needle felting, tatting, embroidery (cross stitch), hand sewing (English paper pieceing), sketching… There has to be more that I can’t recall… Macrame needs too much space. - Comment on [deleted] 2 months ago:
Happiness is weird and different for each culture. If you have time I do recommend this Ted talk about the science of happiness.
If you feel happy while reading or fishing in a creek or risking your life free climbing - those things are all valid. Tho the last one in my mind isn’t really sane and 100% healthy mind.
The only thing is not acceptable is when some twisted people get joy from others suffering. But technically speaking their happiness is real - even if they are not fit to be part of society.
- Comment on [deleted] 3 months ago:
Depends on how much complaining the OP does. If he is always moping about girls then he has no right to tell the parents to butt out. Because he is burdening them with negativity - so they have the right to try make things better.
If he mentioned it once in six months in passing, now that’s a different matter. - Comment on Most Americans think AI won’t improve their lives, survey says 7 months ago:
I do not agree that efficiency is good.
If its is good, we would live like we keep pigs and chickens in meat farms. More efficient is to eat bug based protein, and why waste time on eating instead of 100% meal replacement foods.
Why keep people with disabilities or with different “colors of skin” (insert any other thing there) from the most “efficient” ones?
The best way to think is Matrix-esqe pods for humans and living in a simulation.
Only bad part of that picture is that we are not needed at all.And these are the dark points of unlimited change.
We all know capitalism is very bad for the majority. We know big money do not care about marginalized groups. These are all just numbers. And at the end you and I we are all numbers that can be cut. I’m probably not going to be alive, but I hope for a bright future for the upcoming generations. The problem is that I do see AI potentially darkening their skies.
Don’t get me wrong AI can be a great tool if you learn how to use it. But the benefits are not going to be in the people hands.We need a general society overhaul where not the profit is the only thing that matters. Efficiency is good when you burn renewable wooden pellets and you want to get the most out of the chemical reaction. Efficiency is good when you are using the minimum amount of material to build something (with 3x oversized safety measures). But efficiency in AI and in social terms are going to be a problem.
Humans will not have worry free lives in current society. All the replaced labor keeps the earnings in the stockholders hands. But this went really far from AI. Sorry for the rant, but I do worry for the future.
I believe blindly accepting something before even attempting to look into the pitfalls not a great idea. And we never see all the pitfalls coming. - Comment on Most Americans think AI won’t improve their lives, survey says 7 months ago:
Good enough is the keyword in a lot of things. That’s how fast fashion got this big.
- Comment on Most Americans think AI won’t improve their lives, survey says 7 months ago:
The worry is deeper than just different changes in production. Not all progress is good, think of the broken branches of the evolution.
The fact that us don’t teach kids how to write already took a lot of different childhood development and later brain development and memory improvement out of the run.
Qith ai now drawing, writing and music became a single sentence prompt. So why keep all those things? Why literally waste time developing a skill that you can not sell? Sure for fun…
And you are bringing up efficiency. Efficiency is just a buzzword that big companies are using to replace human labor. How much more efficient is a bank where you have 4 machine and one human teller? Or a fast food restaurant where the upfront employee just delivers the food to the counter and you can only place order with a computer.
There is a point where our monkey brains can’t compete and won’t be able to exist without human to human stuff. But I don’t need to worry in 2 years we will be not able to differentiate between ai and humans. And we can just fake that connection for the rest of our efficient lifes.
I’m not against improving stuff, but qhere this is focused won’t help us in the long run… - Comment on Most Americans think AI won’t improve their lives, survey says 7 months ago:
I’m not sure at this point. The sewing machine was just automated stitching. It is more similar to Photos and landscape painters, only it is worse.
With the creative AI basically most of the visual art skills went to “I’m going to pay 100$ for AI to do this instead 20K and waiting 30 days for the project”. Soon doctors, therapists and teachers will look down the barrel. “Why pay for one therapy session for 150 or I can have an AI friend for 20 a month”.
In the past you were able to train yourself to use sewing machine or learn how to operate cameras and develop photos. Now I don’t even have any idea where it goes.