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Q: How did you get into artificial intelligence?
A: I don't know it seemed logical -- I couldn't find any real intelligence3 -
In may this year, the new mass surveillance law in the Netherlands went into effect. Loads of people were against it with the arguments that everyone's privacy was not protected well enough, data gathered through dragnet surveillance might not be discarded quickly after the target data was filtered out and the dragnet surveillance wouldn't be that 'targeted'.
They were put into the 'paranoid' corner mostly and to assure enough support/votes, it was promised that:
- dragnet surveillance would be done as targeted as possible.
- target data would be filtered out soon and data of non-targets would be discarded automatically by systems designed for that (which would have to be out in place ASAP).
- data of non-targets would NOT be analyzed as that would be a major privacy breach.
- dragnet surveillance could only be done if enough proof would be delivered and if the urgency could justify the actions.
A month ago it was already revealed that there has been a relatively (in this context) high amount of cases where special measures (dragnet surveillance/non-target hacking to get to targets and so on) were used when/while there wasn't enough proof or the measures did not justify the urgency.
Privacy activists were anything but happy but this could be improved and the guarantees which were given to assure privacy of innocent people were in place according to the politicians... we'll see how this goes..
Today it was revealed that:
-there are no systems in place for automatic data discarding (data of innocent civilians) and there are hardly any protocols for how to handle not-needed or non-target data.
- in real life, the 'as targeted dragnet as possible' isn't really as targeted as possible. There aren't any/much checks in place to assure that the dragnets are aimed as targeted as possible.
- there isn't really any data filtering which filters out non-targers, mostly everything is analyzed.
Dear Dutch government and intelligence agency; not so kindly to fuck yourself.
Hardly any of the promised checks which made that this law could go through are actually in place (yet).
Fuck you.28 -
Whatever you do, just keep going.
If you don't have mental capacity to do all tasks today, do one or two. If you want to do that side project you wanted, but lost motivation in the moment, do at least something, like a sign up form. Just keep going. Put some work in, make this day's net impact positive. And it's not all about work! Wanted to play that game you bought on a steam sale but never opened? Play the first level today. Wanted to learn how to make music? Download Ableton or Fruity Loops, watch a tutorial video on YouTube, replicate the steps. Just keep going.
Wandering directionless and letting yourself go is the sure path to misery. Remember — every figment of human behavior has a reason. It is important to identify reasons behind seemingly random behavior patterns and comprehend them in a non-judgmental way. Then, starve what holds you back, and feet what keeps you going.
I have bipolar type I + autism. Using this approach and remembering that everything has a reason helped me debug my low productivity. And no, I don't mean my job, I mean my real goals I want to pursue even if I had a billion in the bank today and never had to work a single day in my life.
Aaand, the reason was?… fear. I discovered I had PTSD all along that manifested when I was misdiagnosed and prescribed strong neuroleptics. In a way, it's a chemical lobotomy, just less invasive and more reversible. My intelligence came back, but it came back together with PTSD.
Now, instead of chasing mythical productivity, I know the reason behind the lack of it — PTSD. It is hard to fight what isn't defined, but it is real to win a fight with a thing with a name and a face.
Just keep going. That's my message to you.15 -
TL;DR I want to watch videos faster.
Siraj Raval, a YouTuber who produces videos about artificial intelligence and the concepts behind it (not the buzz-shit-type 😜), once said in one of his videos that he learned to watch videos three times faster.
This man has truly changed my life in many ways.😯
I've started with watching videos with slight multipliers. Around half a year later I learned to watch videos with a multiplier between 1.75 and 2.5.
It's really incredible how much time one can save like this.
25min of free time? Let me just watch that 40min talk about event-driven programming real quick!
Don't do that with gameplays, series, anime and other types of videos 😏 you watch for entertainment because it kinda defies the concept of entertainment.
Link to the video: https://youtu.be/nxWfZP6eslM
Papa tutu tutu tu Wawa:
https://youtu.be/6PJIF_KNvqQ14 -
i HATE snake oil idiot types
red flags:
- "interested" in tech but have no programming experience or knowledge, no real work experience
- they claim they can provide assistance and guidance to people in machine learning!!!! 😂😂😂😂😂😂
- private instagram, weird
- spent all their money on their instagram profile picture, looks like those dumb finance gurus with a lambo
- is, in reality, unemployed
what value do you provide to society?
really its just people who are good at talking and can convince other people of equal or lower (not higher) intelligence but not really can't DO anything
and they wonder why so many companies fail
what a fucking joke i hate you
its really not just annoying its immoral - and thats the part i despise so much
grow up, put in some work, and be valuable to society5 -
The "stochastic parrot" explanation really grinds my gears because it seems to me just to be a lazy rephrasing of the chinese room argument.
The man in the machine doesn't need to understand chinese. His understanding or lack thereof is completely immaterial to whether the program he is *executing* understands chinese.
It's a way of intellectually laundering, or hiding, the ambiguity underlying a person's inability to distinguish the process of understanding from the mechanism that does the understanding.
The recent arguments that some elements of relativity actually explain our inability to prove or dissect consciousness in a phenomenological context, especially with regards to outside observers (hence the reference to relativity), but I'm glossing over it horribly and probably wildly misunderstanding some aspects. I digress.
It is to say, we are not our brains. We are the *processes* running on the *wetware of our brains*.
This view is consistent with the understanding that there are two types of relations in language, words as they relate to real world objects, and words as they relate to each other. ChatGPT et al, have a model of the world only inasmuch as words-as-they-relate-to-eachother carry some information about the world as a model.
It is to say while we may find some correlates of the mind in the hardware of the brain, more substrate than direct mechanism, it is possible language itself, executed on this medium, acts a scaffold for a broader rich internal representation.
Anyone arguing that these LLMs can't have a mind because they are one-off input-output functions, doesn't stop to think through the implications of their argument: do people with dementia have agency, and sentience?
This is almost certain, even if they forgot what they were doing or thinking about five seconds ago. So agency and sentience, while enhanced by memory, are not reliant on memory as a requirement.
It turns out there is much more information about the world, contained in our written text, than just the surface level relationships. There is a rich dynamic level of entropy buried deep in it, and the training of these models is what is apparently allowing them to tap into this representation in order to do what many of us accurately see as forming internal simulations, even if the ultimate output of that is one character or token at a time, laundering the ultimate series of calculations necessary for said internal simulations across the statistical generation of just one output token or character at a time.
And much as we won't find consciousness by examining a single picture of a brain in action, even if we track it down to single neurons firing, neither will we find consciousness anywhere we look, not even in the single weighted values of a LLMs individual network nodes.
I suspect this will remain true, long past the day a language model or other model merges that can do talk and do everything a human do intelligence-wise.29 -
i've got my first job after getting out of college. not a great package. I'm learning more, will get experience. i have plans for freelancing and seek a better job. I'm an Indian.
what really upsets me is that I just discovered that I've no knowledge in finance. I'm feeling insecure, afraid and depressed. I'm browsing for some youtube channels, books and podcasts to get some some knowledge about finance and real estate.
all I have is a saving account in SBI bank, I just know how to take money out of it with my debit card and transfer money with online banking
how do u guys do ur finance, where do u invest. do u invest in stock market. insurance?? help me out. i'm fucked.
never thought i can be so stupid, I hate myself, never even thought I'll need financial intelligence.
are there more people like me.
i'm just so down and feeling suicidal.8 -
Do you know one major thing (among others of course) that has made devrant feel like home for me after swearing off social media for a long time?
Common ground with users dealing with absolute, insane incompetency at work (I have it real bad at my job).
This doesn't so much make me angry or frustrate me as it makes me sad.
Everyone has varying levels of intelligence in infinite disciplines. Someone could make you cry because they play violin so beautifully but they can't tell you 4 + 4 because they are completely dense, but boy are they genius with that instrument.
Everyone is GREAT at something, that's capitalism's strength! Everyone can excel! I'm lucky enough to truly in my heart believe that programming, data and game development is my true calling...and I personally think I'm amazing at it.
It breaks my heart when people fall into or pursue something that clearly they just don't have enough passion for or regardless just don't have the skill for.
They become toxic to themselves, their employees/coworkers, their industry.
Sadly, power is given to people who simply aren't capable and power is bad on so many levels (aka fucking psychopaths gaining too much power) but it's also bad when people who don't know what they're doing or care get power.
People, I implore you...the secret to happiness and fulfillment in life is finding what makes you happy and what you're passionate about and good at and gripping it until you die.
Most people don't find it....but DON'T stop looking! It took me until my 30's to figure it out. My best friend in her 20's took her life because she couldn't find purpose...don't just be an asshat, incompetent manager in an industry you don't know a fuck about. Love what you do and help others excel.
This is how I get when I'm drunk, sorry. You guys will learn, lol.2 -
Q: How did you get into artificial intelligence?
A: Seemed Logical -- I didn't have any real intelligence
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Whenever you feel down, whenever the code does not compile, just think... Think about the fact that you are the first line of evolution into the future. You are creating life with instructions, just by sitting at home and letting your mind wonder into finding a solution.4
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Linkedin is known from displaying invasive corporate advertisements like join our cloud, and other picture title shit.
But it got worse.
From January I am invaded by contribute to this article crap and get some badge. Powered by some artificial intelligence shit.
From about a month or so I am seeing lots of suggestions on linkedin wall that look like content written by bots, and the posts are from real people, well morons from FAANG started showing up with their generated spam but that’s not all.
This week I started getting job offers that look like are written by chatgpt and not a real people. When I reply to this offer that it looks like it’s not from real person I am ghosted.
Those job offers are like 3 a day and I those are not only contacts but mostly a direct messages from premium account that costs 1000$ per month or more.
I feel like I’m in real world matrix.
But that’s not all.
I see lots of recriuters from my contact list are getting fired and looking for new job.
But that’s not all bitches !!!
I sometimes reply to some CEO and they delete posts and invite me to contacts just to ghost me.
I feel so disconnected I started to think all those people are all only bots and I am last living - real person that is not using AI to write something.
I think microsoft finally managed to kill this cash cow with their obsession about AI. Corporate shit is killing every good platform.
Hope for fediverse to take off with some news websites thinking about integration with fediverse.
Help me obi P2P nobi you’re my last torrent hope.
If p2p social networks won’t take off now it would be dead end.9 -
ok, fuck people. i mean the people who talk about things that are a big deal. you don't need to take a course in html/css to build a website, you need documentation.
people act like programming languages are a whole separate literacy. they're not. it is not a big deal, nor an accomplishment of any significance, to learn any language to a basic extent. variables, control flow, functions and scope should not be considered challenging topics, and people should stop bragging about them. i'm pretty sure this is because programming is new. as people, i think when something is new we tend to think of it as more complex and harder to understand. basic programming is not that.
ok that was a tangent from my real point. college is a scam. anyone can learn anything from books and the internet. any time you want to learn about something, go to google, and search "${my topic} site:*.github.io" and you'll have a page about that topic written by someone who is knowledgeable and passionate of the topic. colleges don't teach people how to think like these books/websites do. and i'm fucking sick of people who'd rather see a degree then a portfolio. fuck them shits bro. i can distinct my smart friends because my smart friends speak logically and enjoy becoming smarter. i would take the kid who watches aerodynamics videos on youtube and then built a plane over a kid who studied and got a five on his ap physics exam. watching then doing is better learning than watching and repeating. after all, creativity is not at all measured in our grades, and i'd like to argue that sometimes intelligence isn't even measured. i mean, people can say they're good at math, but the kids who talk about fibinnoci numbers and why there can never be two primes more than 7 (i if i remember properly) integers apart or the ones who prove cryptographic algorithms. i guess what i'm trying to say is the dumb kids aren't dumb and the smart kids aren't smart (well not that) but kids who are passionate and just do something instead of waiting for their degree to do the same thing are the best and brightest. i forgot what i was talking about. sorry it is almost 2 am and i am intoxicated , and i don't believe i got my point across very well either.7 -
Am I the only one who when hearing the term "Artificial Intelligence" thinks about why nobody tries to develop "Real Intelligence" instead?
I mean the term artificial imho points directly at the reason why those systems are actually so damn stupid6 -
It seems like there is a whole another grade of fear — Basilisk grade. It’s impossible to experience it and walk away without serious consequences.
Imagine: I’m barely 20. It’s my first real, official, high-paying job. I’m already a team lead. A big Russian non-govt company with a blue logo. Huge new office in Moscow.
My “childhood” is officially over — I’m not playing around anymore. I’m an adult in every sense of the word.
Several weeks go by. Maybe even a month. Just a regular day at the office. I’m waiting for the coffee machine to heat up, and suddenly, it hits me. I’m here, at the office. Moscow, a city of 10 million people, is beautiful in the summer, yet I can’t just leave the office and go for a walk whenever I want to. When the day is over, it’s already evening, and I barely have time for myself. There are other people around me, with way higher positions, but their schedule is just the same as mine: nine-to-six. My adult life just started. I have forty years of this ahead of me. No matter the company, no matter the position: unless I’m the CEO, I’m doomed to get to work in the morning and go back home in the evening. And then I retire, old and not that beautiful anymore. And then that’s it.
I was never the same after that day. People are plotting my betrayal behind my back. They all act as one. Just out of my frame of view, their heads are turned to me, and they all look at me with the same devilish grin. There are no people — it’s all one huge shoggoth that lives under the office floor, and my colleagues are its ugly tentacles wrapped in human skin. I start missing deadlines. I become paranoid. Next thing I know, I’m at the psychiatrist’s office, being prescribed aripiprazol — a strong antipsychotic that is designed to literally make you slower. Anxiety worsens. I develop restless legs syndrome. I lose my ability to sleep. My intelligence is slipping away. I’m fired.
I have the return to Saint-Petersburg, cariprazine prescription that felt like lobotomy with extra steps, losing my ability to read, delirious manic episodes ahead of me.
It is only now that I kinda-sorta tuned my medication scheme in by going through countless psychiatrists of all sorts. But I sure as hell work at a place where I can do whatever I want if I meet deadlines.3 -
The hype of Artificial Intelligence and Neutral Net gets me sick by the day.
We all know that the potential power of AI’s give stock prices a bump and bolster investor confidence. But too many companies are reluctant to address its very real limits. It has evidently become a taboo to discuss AI’s shortcomings and the limitations of machine learning, neural nets, and deep learning. However, if we want to strategically deploy these technologies in enterprises, we really need to talk about its weaknesses.
AI lacks common sense. AI may be able to recognize that within a photo, there’s a man on a horse. But it probably won’t appreciate that the figures are actually a bronze sculpture of a man on a horse, not an actual man on an actual horse.
Let's consider the lesson offered by Margaret Mitchell, a research scientist at Google. Mitchell helps develop computers that can communicate about what they see and understand. As she feeds images and data to AIs, she asks them questions about what they “see.” In one case, Mitchell fed an AI lots of input about fun things and activities. When Mitchell showed the AI an image of a koala bear, it said, “Cute creature!” But when she showed the AI a picture of a house violently burning down, the AI exclaimed, “That’s awesome!”
The AI selected this response due to the orange and red colors it scanned in the photo; these fiery tones were frequently associated with positive responses in the AI’s input data set. It’s stories like these that demonstrate AI’s inevitable gaps, blind spots, and complete lack of common sense.
AI is data-hungry and brittle. Neural nets require far too much data to match human intellects. In most cases, they require thousands or millions of examples to learn from. Worse still, each time you need to recognize a new type of item, you have to start from scratch.
Algorithmic problem-solving is also severely hampered by the quality of data it’s fed. If an AI hasn’t been explicitly told how to answer a question, it can’t reason it out. It cannot respond to an unexpected change if it hasn’t been programmed to anticipate it.
Today’s business world is filled with disruptions and events—from physical to economic to political—and these disruptions require interpretation and flexibility. Algorithms alone cannot handle that.
"AI lacks intuition". Humans use intuition to navigate the physical world. When you pivot and swing to hit a tennis ball or step off a sidewalk to cross the street, you do so without a thought—things that would require a robot so much processing power that it’s almost inconceivable that we would engineer them.
Algorithms get trapped in local optima. When assigned a task, a computer program may find solutions that are close by in the search process—known as the local optimum—but fail to find the best of all possible solutions. Finding the best global solution would require understanding context and changing context, or thinking creatively about the problem and potential solutions. Humans can do that. They can connect seemingly disparate concepts and come up with out-of-the-box thinking that solves problems in novel ways. AI cannot.
"AI can’t explain itself". AI may come up with the right answers, but even researchers who train AI systems often do not understand how an algorithm reached a specific conclusion. This is very problematic when AI is used in the context of medical diagnoses, for example, or in any environment where decisions have non-trivial consequences. What the algorithm has “learned” remains a mystery to everyone. Even if the AI is right, people will not trust its analytical output.
Artificial Intelligence offers tremendous opportunities and capabilities but it can’t see the world as we humans do. All we need do is work on its weaknesses and have them sorted out rather than have it overly hyped with make-believes and ignore its limitations in plain sight.
Ref: https://thriveglobal.com/stories/...6 -
This is gonna be a long post, and inevitably DR will mutilate my line breaks, so bear with me.
Also I cut out a bunch because the length was overlimit, so I'll post the second half later.
I'm annoyed because it appears the current stablediffusion trend has thrown the baby out with the bath water. I'll explain that in a moment.
As you all know I like to make extraordinary claims with little proof, sometimes
for shits and giggles, and sometimes because I'm just delusional apparently.
One of my legit 'claims to fame' is, on the theoretical level, I predicted
most of the developments in AI over the last 10+ years, down to key insights.
I've never had the math background for it, but I understood the ideas I
was working with at a conceptual level. Part of this flowed from powering
through literal (god I hate that word) hundreds of research papers a year, because I'm an obsessive like that. And I had to power through them, because
a lot of the technical low-level details were beyond my reach, but architecturally
I started to see a lot of patterns, and begin to grasp the general thrust
of where research and development *needed* to go.
In any case, I'm looking at stablediffusion and what occurs to me is that we've almost entirely thrown out GANs. As some or most of you may know, a GAN is
where networks compete, one to generate outputs that look real, another
to discern which is real, and by the process of competition, improve the ability
to generate a convincing fake, and to discern one. Imagine a self-sharpening knife and you get the idea.
Well, when we went to the diffusion method, upscaling noise (essentially a form of controlled pareidolia using autoencoders over seq2seq models) we threw out
GANs.
We also threw out online learning. The models only grow on the backend.
This doesn't help anyone but those corporations that have massive funding
to create and train models. They get to decide how the models 'think', what their
biases are, and what topics or subjects they cover. This is no good long run,
but thats more of an ideological argument. Thats not the real problem.
The problem is they've once again gimped the research, chosen a suboptimal
trap for the direction of development.
What interested me early on in the lottery ticket theory was the implications.
The lottery ticket theory says that, part of the reason *some* RANDOM initializations of a network train/predict better than others, is essentially
down to a small pool of subgraphs that happened, by pure luck, to chance on
initialization that just so happened to be the right 'lottery numbers' as it were, for training quickly.
The first implication of this, is that the bigger a network therefore, the greater the chance of these lucky subgraphs occurring. Whether the density grows
faster than the density of the 'unlucky' or average subgraphs, is another matter.
From this though, they realized what they could do was search out these subgraphs, and prune many of the worst or average performing neighbor graphs, without meaningful loss in model performance. Essentially they could *shrink down* things like chatGPT and BERT.
The second implication was more sublte and overlooked, and still is.
The existence of lucky subnetworks might suggest nothing additional--In which case the implication is that *any* subnet could *technically*, by transfer learning, be 'lucky' and train fast or be particularly good for some unknown task.
INSTEAD however, what has happened is we haven't really seen that. What this means is actually pretty startling. It has two possible implications, either of which will have significant outcomes on the research sooner or later:
1. there is an 'island' of network size, beyond what we've currently achieved,
where networks that are currently state of the3 art at some things, rapidly converge to state-of-the-art *generalists* in nearly *all* task, regardless of input. What this would look like at first, is a gradual drop off in gains of the current approach, characterized as a potential new "ai winter", or a "limit to the current approach", which wouldn't actually be the limit, but a saddle point in its utility across domains and its intelligence (for some measure and definition of 'intelligence').4 -
I was going to rant today about lack of self-awareness and emotional intelligence in some developers, this rant was based on the interviews I have seen flop over the years.
But then, as I am typing it, people in my office start having this exact conversation. We get together and discuss it and in the end we come to the same conclusion as my rant.
Now it feels like a waste to rant about something on the internet when I got to have a real in-person discussion about it.
It’s like devRant in real life!
——
The outcome of the offline chat...
- Have a cultural policy that is strictly NO ASSHOLES
- Watch for people who are nasty on the internet, especially LinkedIn
- Be careful with people who have a lot of questions for you but answer your questions with “we are in stealth mode” or something similar
- There is no point in wasting your time on these folks in an interview, just politely conclude it as fast as you can and move on -
Meta, Microsoft, Google, and countless startups have been investing and growing, making devs crazy with incredible salaries, incomprehensible hiring processes, and toxic corporate culture. They tried to make masses of end users beta-test their MVP products and services, turning them into subscribers and regular customers. Then they laid off many engineers and now try to run their businesses using immature artificial intelligence instead.
AI, also known as "the one guy that can type real quick" can be very eloquent and replace some junior devs, marketeers and supporters, so it seems, but once someone has a problem that is not already documented unambiguously, then they have a real problem.2 -
After the "Cloud Computing" trend, the new trends these days seems to be ML, VR and AI. And while I am very excited about all these techs and the possibilities it can bring, I can't help feel that most of us are using the term "AI" a bit incorrectly.
What we are trying to do here, as far as I can see, is VI, not AI. The intelligence we see in the so called "AI"s available so far are simulated and fails to emulate real intelligence, let alone demonstrate actual intelligence and awareness. They are not fully aware. But I guess that is why there is the singularity constraint. It is no doubt that when a VI finally becomes are fully aware AI, that is indeed the point of singularity.
Anyway, leaving the future dystopian thoughts aside, a mixture of ML, "AI" and VR have made some very interesting concepts, especially in the gaming industry, which I would love to see bear fruit in the near future.2 -
"Averice - a serial novel"
2021 - found on the remnents of an old 'youtube' server rack.
A gaunt but handsome man walks into the view finder. Adjusts the camera. "Hi guys and girls." he smiles weakly. rubs his blonde unshaved stubble, running his hand over his mouth, inhaling as if trying to find the right words.
"How can I say this. god. ...americas fucked and rapidly going down the shitter,
college is a fucking scam,
all success in the modern day is based on fraud, bullshit, mythmaking, and "who you know."
we're on the verge of a new cold war, the merger of the fed and the treasury combine with negative oil is the legit death signal of the petrodollar, we're gonna go through a *50% haircut* in living standards and a doubling of taxes on *everything* in the next six months, the tech bubble is gonna burst taking with it half the industry jobs overnight, the credit bubble will burst even as the fucking stock market climbs higher, a quarter or more of all retail will shut down leaving empty assets turning every state property market into the equivalent of fucking detroit. MAD as a protective doctrine is dead with the spread of hypersonic weapons so enjoy living with the constant threat of being obliterated without warning, my entire generation basically has no meaningful or stable future to look forward to, and none of us have really had an actual, genuine say in anything involving society for decades."
He exhalled visibly on camera, as if exhausted by the demons of anxiety he'd poured forth, a torrent of fears, uncertainties, and revelations like the tormented ghost of christmas past
A long pull from a bottle of southern comfort.
"look. we have an out of control intelligence apparatus that are in their operation more orwellian than the real life stasi ever were, a government at both the federal and state level thats made of millionaires and billionaires who give no fucks at all except for their own power, out of control and absolutely dogshit-corrupt *local* leaders, nothing is audited, nothing is meaningfully transparented, rampant fraud, destruction of evidence, witness tampering, railroading, intimidation, violence, threats of violence, skyrocketing cost of living, skyrocketing spending, skyrocketing taxes, skyrocketing policies of total control by police, skyrocketing homelessness, fatherlessness, poverty, political corruption, drug abuse, massive politically funded thinly veiled state propaganda, collapsing and decaying infrastructure, the loss of all tradition, culture, community cohesion we might have had, and on and on and on and on.
and all I want right now is to get my dick sucked. drink a beer and blow my motherfucking brains out.
and when people start fighting in the streets over some bullshit and it turns into race riots, because the motherfuckers in the media serving wallstreet always make it about race or some stupid shit like that, I wont be in america to put up with it.
do us all a favor. when you're hanging bankers, hang some fucking journalists too. they never tell the truth. doesnt matter which side they are on
they only divide people and advocate for more of the same bullshit, expanded state powers, more federal dollars, more workers for their campaign, more privileges. they're fucking cancer. yes even your favorite journalist. they're a tumor on society.
our government has become hostile to us even being *alive* anymore. it has for me become intolerable, and in time I have grown to hate it.
there is no way to change it. no way to salvage it. I cannot see any hope for the future anymore. And if you search yourself I know many of you feel the same."
He took another long pull from the bottle.
"we no longer have a voice in america and no means to air our grievances peacefully.
theres nothing in it left worth saving when it all can be taken away at a moments notice by a deaf and hostile bureucratic government. I should have voted for bernie last year. At least he would have destroyed it.
many of you will disagree with this sentiment, thinking things can still work out. because you still have your creature comforts. your apartment which you cant afford. your car with its maintenace bills and monthly payments you've fallen behind on same as half the country now out of work, but in a short few months, a year at most, you will learn what I have learned, and the reason I drink, what I knew about as early as june of 2019, that this is it. this was as good as it was ever going to get. and that the good days, the best days are behind us. that all that you hold dear could be taken. all that you worked for, was already gone, and you just havent realized it yet. I've set this to autoupload once it's done recording. I built a company just to watch the people who dont want any of us to succeed burn america down around it. Im done. Goodbye america."
The man got up from his chair, camera still recording, and left. Only the red flashing dot remained, the only witness to the silence.12 -
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Duet AI: Revolutionizing Collaborative Music Creation
In the realm of music creation, collaboration has always been a cornerstone of innovation and artistic growth. With the advent of artificial intelligence (AI), a new era of collaborative music composition has emerged. Duet AI, a groundbreaking AI-powered system, is transforming the way musicians collaborate, enabling seamless interaction between human artists and AI algorithms. In this article, we will explore the concept of Duet AI and its impact on collaborative music creation.
H1: The Power of Duet AI in Collaborative Music Creation
Duet AI harnesses the capabilities of AI to facilitate real-time collaboration between musicians, composers, and AI algorithms. This innovative system acts as a virtual partner, responding to human input, providing creative suggestions, and adapting to the evolving musical dynamics. By integrating human creativity with the computational power of AI, Duet AI opens up new possibilities for artistic expression and the co-creation of music.
H2: Seamless Integration of Human and AI Musical Expertise
Duet AI seamlessly integrates the musical expertise of human artists with the analytical capabilities of AI algorithms. The system analyzes vast musical databases, identifying patterns, harmonies, and rhythms from various genres and eras. It uses this knowledge to generate musical ideas, chord progressions, and even complete compositions that complement and interact with the human artist's input. The result is a harmonious collaboration that pushes the boundaries of musical creativity.
H2: Enhancing Inspiration and Idea Generation
Duet AI serves as a valuable tool for musicians seeking inspiration and idea generation. It can offer suggestions, variations, and alternatives to human artists, fueling their creativity and sparking new musical directions. Whether it's exploring different melodies, experimenting with harmonies, or discovering innovative arrangements, Duet AI provides a constant stream of musical possibilities that can be integrated into the collaborative process.
H2: Real-time Adaptation and Musical Sensitivity
One of the key strengths of Duet AI lies in its ability to adapt and respond in real time to the human artist's input. The system listens and analyzes the music being created, dynamically adjusting its suggestions and responses to maintain coherence and musical sensitivity. This adaptability ensures that the AI component of the collaboration remains in sync with the human artist, enhancing the fluidity and natural flow of the music being created.
H2: Expanding Musical Horizons and Genre Blending
Duet AI enables artists to explore new musical horizons and experiment with genre blending. By incorporating AI-generated musical ideas, artists can transcend traditional boundaries and fuse elements from different styles and genres. The system's vast knowledge base allows it to generate musical segments that authentically capture the essence of diverse musical traditions, enabling artists to create unique and innovative compositions that push the boundaries of genre conventions.
H2: Preserving the Artist's Creative Vision
While AI plays an active role in the collaborative process, it is essential to acknowledge the artist's creative vision and maintain artistic ownership. Duet AI functions as a supportive collaborator, offering suggestions and ideas, but the final artistic decisions remain in the hands of the human artist. The system respects the artist's autonomy, ensuring that the collaboration is a true partnership that amplifies the artist's creativity rather than overshadowing it.
H1: Conclusion
Duet AI represents a significant leap forward in collaborative music creation. By combining the artistic expertise of human musicians with the computational power of AI, this innovative system opens up new frontiers of creativity and musical expression. Duet AI enhances inspiration, expands musical horizons, and enables seamless interaction between human and AI collaborators. As this technology continues to evolve, we can expect even more transformative possibilities in collaborative music creation, leading to a new era of artistic innovation.
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