AI algorithms. Artificial Intelligence (AI) is not the future! It’s surprising that I say this because I used it myself and saw nothing wrong with it. However, if you think about it carefully, completely heretical thoughts arise in this matter.
AI algorithms and the future of AI.
In essence, the reference to the future is just a marketing term for a slightly updated version of the automation that has ruled our lives for years.
Companies have used a variety of names to perfect their technology—automation, algorithms, machine learning, and now AI—but ultimately these systems are based on the same idea.
Which one?
Transferring decision-making to computers to quickly complete tasks. much faster than a human could.
But there are growing concerns that a new kind of artificial intelligence will infect our daily lives, put millions out of work and generally burden society.
Most people don’t realize how deeply computerized decision-making has permeated all areas of life.
I will not exaggerate to say that it threatens our existence.
Algorithms and datasets.
These systems are built on data sets and rules that humans (AI) teach them, but whether it’s making money in markets or breaking news, more and more of our lives are in the hands of countless digital systems.
In many cases, these algorithms have proven to be useful to society.
They’ve helped eliminate mundane tasks, but increasingly the algorithms behind our digital lives are making questionable decisions.
They enrich the powerful and ruin the lives of the average person. There is no reason to fear that artificial intelligence will make decisions for you in the future! FYI, computers have been doing this for quite some time.
Algorithms and the Internet.
The early Internet was a comparative human-made experience.
A distinct collection of web pages that could only be discovered if you knew the site’s address or saw a link to it on another site.
That changed in June 1993, when researcher Matthew Gray created one of the first “web bots,” a primitive algorithm designed to “measure the size of the web.”
In 1998, Stanford students Sergey Brin and Larry Page took the next leap in Internet automation when they published an academic paper on a “large-scale hypertext web search engine” called Google.
The article detailed how their “PageRank” algorithm evaluated the importance of a web result based on a user’s query, suggesting the most relevant site based on how many other sites linked to it.
If anything, it played a major role in the spread of the supposedly innocent Internet to all corners of the world.
Not everything is as good as it seems!
However, somewhere along the way, the technology industry “flipped” from useful automation of work to a life that distorted society by handing over crucial decisions to computers.
Nearly three decades after Google was founded, the Internet has become more automated.
It has brought many benefits to the average people. But are these the benefits we are waiting for?
In many ways, Google search is like a “dark warning” to the same average people I mentioned as its most active users.
Perhaps unsurprisingly, researchers have found that prioritizing ads over useful results makes Google’s algorithm worse and worse.
Degrading important information sources for more than 5 billion people.
Algorithms, it’s not just about search engines.
Revenue-driven algorithms on networks like Facebook, Instagram, TikTok, and Twitter have learned how to provide users with a steady or even jarring stream of content, with the sole purpose of attracting users, of course.
As human control diminishes, real-world consequences of these algorithms have piled up, such as Instagram’s algorithm being linked to a mental health crisis in teenage girls.
What’s more, Twitter admitted that its technology tends to amplify tweets from right-wing political news sources. If anything, things have gotten worse since Elon Musk bought the site.
Cambridge Analytica used an algorithm to use Facebook data to specifically target millions of people in the run-up to the UK’s vote to leave the European Union.
I can also mention the 2016 US presidential election.
Across the public and private sectors, we’ve handed over the most important key algorithms to a network built with a fraction of the public and their insights into how they’ve come to make decisions.
Large language models, such as those behind ChatGPT and Google Gemini, are designed to extract information from the public Internet and various search engines.
This creates problems because the web is increasingly full of generic pages designed to improve your SEO system instead of providing useful information.
Many websites are themselves artificial intelligence, creating a pool of mediocre, unreliable information.
Use Quora, a question-and-answer site that was once popular for its high-quality user-generated answers. Quora now provides answers generated by OpenAI ChatGPT.
Enter a bad cycle.
I will not exaggerate to say that we will enter a cycle where generative models are trained on the remains of the Internet that have been “poisoned” by generative content.
Even the seemingly human domain of social media has been flooded with AI spam, turning X, Facebook, Reddit and Instagram into a constant battle against misinformation and outright scams.
Although generative AI is only the latest extension of the algorithm, it poses a unique threat.
Previously, humans controlled the inputs and determined the rules of engagement of the models, while computers produced the output.
We now let these models determine the rules of the game for us by generating both inputs and outputs.
An example of harmful effects.
For example, in 2023, the National Eating Disorders Association replaced its help desk staff with an artificial intelligence chatbot.
It had to be shut down very soon after it started giving harmful weight loss advice.
The powerful of the world.
The rich and powerful will be able to opt out of this algorithmically driven future or shape it in their own image by connecting directly to the people behind the algorithmic processes.
With your own personal banker, you don’t have to worry about an anonymous, automated financial report — you have a person with an email address and a phone number.
The rich will not have to worry about nurses or doctors being replaced by artificial intelligence processes, because they will be able to afford the medical services that suit them.
The powerful will not have to worry about their jobs being automated because they will be the ones to choose where and when the work is handed over to an automated process.
The rest of us need to realize that more and more of our lives will be defined by the “black box” of algorithms, and now we know how.
At least I hope you understood my concern about future prospects.
What I thought, but there are other thoughts from the great thinkers.
Prediction about AI.
Bill Gates, the co-founder of Microsoft Corporation, shared his predictions about the future of AI and its role in our daily lives in his blog.
Gates believes that in the next five years, AI will radically change the way we use computers and mobile devices.
According to Gates, there will soon be no need to use separate applications for different tasks. Instead, we will be able to access our devices in plain language and they will be able to process our requests.
This will be possible thanks to the development of AI-based personal assistants, which will be significantly superior to today’s technology.
Prediction about AI, agents.
Gates calls such programs, or AI bots, “agents.” He predicts that these agents will not only change the way humans interact with computers, but will also revolutionize the software industry.
This will be the most significant revolution in computing since the transition from entering commands into a computer terminal to using graphical interfaces.
A key aspect of how agents work is their ability to recognize the user as an individual.
The more they know about you, the better they can anticipate your needs and help you.
They are proactive, able to offer solutions before you ask for them.
They work through apps, improving over time, remembering your actions and recognizing your intentions and behavior patterns.
Based on this information, they recommend what they think you need, although the final decision is always yours.
Prediction about AI, scope of activities.
Gates also touches on the impact of AI on healthcare, education, productivity, entertainment and other areas of our daily lives.
For example, in healthcare, agents will be able to assist with basic triage diagnostics and treatment recommendations, as well as assist healthcare professionals in decision-making.
In education, agents will complement the work of teachers by personalizing learning for students and freeing teachers from daily tasks.
In the area of productivity, agents will help with various tasks, such as writing business plans or organizing meetings.
In entertainment and shopping, agents will not only make recommendations, they will also help you follow them.
Gates believes that artificial intelligence is an integral part of every aspect of our existence.
Prediction of AI, Gates points out.
Agents will be the next big platform in the computing industry. Agents will be able to help with almost any activity and any area of life.
In the IT industry, we talk about platforms—the technologies on which applications and services are built. Android, iOS and Windows are platforms. Agents will be the next platform.
Whether we like it or not, the technology we use often serves as a signal to others about who we are. Do you use Mac or PC?
Are your texts blue or green! Are you most likely talking about the Reddit thread or TikTok video. All of this adds up to a kind of technological identity, a lens that tells us which products are “ours.”
Prediction about AI, chat bots.
The first big ones—like ChatGPT , Google Bard , and Bing Chat—debuted with the goal of becoming all-knowing, general-purpose powerhouses, essentially an expanded version of Google’s search.
However, the latest models have gone in the niche direction.
For example, Grok AI announced by Elon Musk-backed xAI. It launched with a different personality and target audience, but it’s not the only one.
The proliferation of open source models, as well as OpenAI’s new, customizable “GPTs,” are creating a new wave of custom, small-scale AI products for different parts of our lives.
Chatbots engage in identity politics.
Musk says of xAI:
“Grok is designed to answer questions with a bit of wit and has a rebellious nature, so please don’t use it if you don’t like humor!” AI will also “answer spicy questions that most other AI systems reject.”
These features can attract or repel users, a business risk that Musk is willing to take, and not for the first time.
Forecast for AI, GROK.
One of the early beta testers asked Grok how babies are made, and it replied, “Babies are made through a magical process called f*cking.” Musk retweeted it and said “Exactly” with a laughing emoji.
OpenAI CEO Sam Altman said Grok is nothing more than “disturbing boomerang humor.”
Once Grok is out of beta testing, it will be accessible to those with the Premium+ plan for $16 per month and will be hosted on X Musk’s social media platform.
How do you get people to pay for X? A matter of questions for Musk to address.
Musk hasn’t called Grok conservative or liberal, but it seems to have found a fan base with the first shot. “FINALLY!!!
The answer to what WokeGPT is!!” one user commented on Grok’s debut X post, referring to ChatGPT’s alleged leftist leanings.
For example, when it refused to write a positive poem about Donald Trump, but did so about Joe Biden.
As far as I understand, Muska Grok will be favorable to Trump and possibly to Putin as well, these are my personal thoughts.
Whether you agree or disagree with the antics or politics, it won’t matter in the end. There will be another chatbot that resonates with you and may become your favorite bot.
Like it or not, the crowd effect plays a crucial role in your choices.
Open source models find new niches.
With open source models, individuals can take an existing AI model, such as Meta’s Llama 2, and customize it to their liking.
In contrast, OpenAI has kept GPT-4 proprietary or “closed source”. Thousands of people are already building their own chatbots without ever working with OpenAI, Google, Microsoft or xAI.
“Musk is doing what we’ve been doing in the open source AI community for the last year, which is bringing different directions, different slants, different ideas to these models,” says Eric Hartford, co-founder of Hugging Face.
If you don’t know what it is, in short, it’s a repository of open source AI models.
All AI models have pros and cons, according to TechTarget, sparking heated debate over whether closed or open systems will lead to a more responsible and productive AI future.
Sex Industry Thrives With Custom AIs.
Currently, 70% of new project requests are for “erotic role-playing games” or sex chatbots. According to the assessment, they are one of the “currently growing sectors”.
The process of creating a sexy chatbot is the same as creating a chatbot for legal advice, math homework, or anything else.
How does it happen, how do you build a chatbot?
For example, you get a model from Meta and then download the code to train it from GitHub because you need a dataset to implement the training.
This requires a lot of computing power and a typical home computer may not be able to handle it.
However, running a private AI chatbot on gaming laptops, desktops may be suitable for these applications.
They have powerful graphics hardware that these models often rely on. Of course, if the robot is already trained and installed, as a ready-made program.
A prediction about AI, in the final place.
Open AI is working on the GPT-5 ( OpenAI o1 ) artificial intelligence model and plans to attract additional investments from Microsoft, which will contribute to the development of the project.
What is GPT-5?
OpenAI o1 is the latest series of large language models released by OpenAI on September 12, 2024, which currently has two models:
- o1-preview
- o1-mini.
The biggest difference between the o1 and the company’s previous models is its chain of thought reasoning.
Although not yet fully released, the preview and mini models are already blowing away the GPT-4o in math, science and coding tests.
The new model is the first of its kind to be able to reason in real time (just like a human).
Final thoughts.
Automation may be useful for increasing and speeding up business or government, but the trade-off is almost always human suffering: layoffs, unfair policing, financial losses, a distorted media environment.
Even the world’s largest source of information, the Internet, is ready to be overwhelmed by content designed to attract algorithms, or content generated by algorithms themselves.
Paradoxically, discarding the unique, interesting, and valuable human-made material that made the Internet special.
Good day!
