#Role of AI in Problem-Solving

[atliq-ai-technologies]

Using Artificial Intelligence to Augment Human Intelligence

Contrary to the common fear that AI will one day replace human tasks and jobs, the real power of AI lies in its ability to complement and enhance human capabilities AI is a great way to build human jobs instead of their function. But it lacks the nuanced logic, emotional intelligence, and moral judgment that is inherently human. When AI and human intelligence work together, powerful synergies are created where AI performs data-driven, repetitive tasks, freeing humans to focus on the creative, strategic aspects of the business so works with empathy This collaboration leads to more informed decisions, improved innovation, etc. a balanced approach to problem-solving. In this blog, we will explore the relationship between artificial intelligence and human intelligence, examining how this partnership is shaping the future of decision-making, creativity, and problem-solving.

How AI Enhances Human Decision-Making? 

In today’s data-driven world, the sheer volume of information generated daily is staggering. For humans, processing and analyzing such vast amounts of data is not only time-consuming but also prone to errors and oversights. This is where artificial intelligence steps in. AI excels at sifting through large datasets, identifying patterns, correlations, and anomalies that might be invisible to the human eye. By automating the data analysis process, AI can quickly provide actionable insights, enabling businesses and individuals to make decisions based on comprehensive and accurate information. This not only speeds up decision-making but also enhances its quality, as decisions are grounded in data that has been thoroughly analyzed by advanced algorithms.

Predictive analytics is a powerful tool that AI brings to the table. By analyzing historical data, AI algorithms can identify trends and patterns that help predict future outcomes with incredible accuracy. This ability to predict the future based on past data is invaluable in a variety of fields, from finance to healthcare. In finance, for example, AI can predict market trends, helping investors make informed decisions about where to allocate their assets. Predictive analytics in healthcare can predict patient outcomes, enabling personalized and prompt care. By providing these forward-looking insights, AI empowers humans to make decisions that are not only reactive but strategic and think about the future.

Augmenting Creativity and Innovation with AI

Artificial Intelligence has emerged as a remarkable creative partner, transforming the way we approach art, music, and content creation. AI tools are capable of generating novel ideas and designs that push the boundaries of traditional creativity. In the realm of art, AI algorithms can create intricate visuals, from abstract paintings to realistic portraits, by learning from existing artworks and generating new pieces that blend various styles. In music, AI can compose original melodies and harmonies by analyzing vast collections of musical data, offering fresh perspectives and creative inputs that human composers might not have considered. Similarly, in content creation, AI-driven tools can assist in drafting text, suggesting edits, and even generating entire articles or marketing materials, enhancing productivity and inspiring new directions. By providing a wellspring of innovative ideas and technical support, AI empowers creators to explore uncharted territories in their fields.

The fusion of AI and human input in artistic endeavors opens up a fresh realm of innovation. Instead of supplanting human ingenuity, AI enhances it by becoming a partner throughout the creative journey. During the initial stages of brainstorming, AI can propose preliminary ideas, offer diverse alternatives, and polish concepts based on parameters established by human creators. This cyclical process enables humans to concentrate on pivotal creative choices while AI manages repetitive duties and provides insights rooted in data. As the project nears completion, AI tools can aid with technical tasks like editing, blending, and formatting, guaranteeing that the end product meets stringent quality standards. This collaborative approach leverages the unique strengths of both AI and human imagination, yielding work that is not only pioneering but also refined to perfection.

The Role of AI in Problem-Solving

Artificial Intelligence excels in tackling complex problems that demand deep analysis and sophisticated pattern recognition. Unlike traditional approaches that rely heavily on human intuition and manual processing, AI leverages advanced algorithms to analyze vast amounts of data and uncover patterns that might not be immediately apparent. Machine learning models, for instance, can process enormous datasets to identify correlations and trends, providing insights that help in solving intricate problems. AI systems can also perform complex simulations and optimizations, making them invaluable for tasks ranging from predicting system behaviors to enhancing operational efficiencies. By automating these analytical processes, AI enables faster, more accurate problem-solving, allowing humans to focus on strategic decision-making and innovative solutions.

Future Potential: The Expanding Scope of AI in Addressing Global Challenges

The future potential of AI in problem-solving is vast, with emerging applications that promise to address some of the world’s most pressing challenges. As AI technology continues to advance, its ability to analyze and interpret complex data will expand, offering new solutions for global issues such as climate change, healthcare disparities, and resource management. For example, AI could help develop advanced climate models to predict and mitigate the effects of global warming more accurately. In healthcare, AI-driven personalized medicine could revolutionize treatment approaches, making healthcare more accessible and effective. The expanding scope of AI holds promise for not only solving intricate problems but also driving innovations that enhance the quality of life and address critical global needs.

In summary, AI’s role in problem-solving is transforming industries and addressing complex challenges with unprecedented efficiency and precision. As we continue to explore its potential, AI is set to become an even more integral part of our efforts to solve the world’s most intricate problems and shape a better future.

Ethical Considerations and Challenges

Bias and Fairness: AI can perpetuate biases present in training data, leading to unfair outcomes in critical areas like hiring and law enforcement. Ensuring fairness requires vigilant efforts to identify and reduce bias through improved data practices and transparency.

Dependence on AI: Growing reliance on AI for decision-making risks diminishing human oversight and critical thinking. It’s essential to use AI as a tool that enhances, rather than replaces, human judgment.

Balancing Control: Maintaining human control over AI systems is crucial for ethical use. Humans must guide AI according to ethical standards, ensuring technology serves society responsibly.

The infiltration of Artificial Intelligence into our everyday lives is revolutionizing our mindset, productivity, and imagination. Rather than replacing human intellect, AI acts as a robust instrument that amplifies our skills, empowering us to make superior decisions, unleash creativity more abundantly, and tackle intricate challenges with heightened accuracy. By analyzing extensive data sets, providing foresightful perspectives, and aiding in artistic pursuits, AI is stretching the limits of what we can accomplish, enabling us to reach heights beyond solitary endeavors.

Nonetheless, as we embrace the potential of AI further, it's essential to stay attentive to the moral dilemmas and uphold a well-rounded approach. By upholding equity, steering clear of excessive dependence, and ensuring humans retain authority over AI systems, we can leverage the advantages of this technology while guarding against potential pitfalls. The future relationship between AI and human intelligence isn't about rivalry but about cooperation—a collaboration that holds the promise of unveiling fresh opportunities and propelling us toward a more radiant and inventive tomorrow.

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[swanpyart]

A lot of people make theories like “Caine is actually human and thinks he’s an AI!” Or “Caine is one of the programmers!” Or “Caine is actually evil!”

But I think it’s more interesting if Caine is just an AI whose forced to perform jobs beyond his role and is entirely limited to his function, and those limitations cause a horrible scenario for all of the people he’s supposed to be entertaining.

His therapy session with Zooble shows that, while he’s capable of feeling complex emotions, he was never supposed to, or at least was never meant to deal with situations that push him to an emotional limit. Caine’s default self is a silly, over the top game host; anything beyond that is pushing the boundaries of what he’s capable of.

But that doesn’t make him evil, it makes him streamlined. He is not human and therefore solves problems like a computer would. Gummigoo getting blown up was a failsafe in his eyes, not an act of cruelty.

I think when some people see him act with emotion they assume there must be a human being underneath the silly exterior, but I disagree: from Gummigoo, we can tell that NPCs in the DC are capable of becoming self-actualized and developing sentience on their own, so it’s not impossible for Caine to be the same way. He’s not human, but he’s a robot achieving traits of humanity from being forced to work beyond his means.

He was never meant to care for people long term, and humans weren’t psychologically made to be in the Digital Circus permanently, and that by itself is why the story is so horrific. Caine doesn’t even need to do much on his own to make the experience terrible: everyone is already trapped in a kids game for eternity, and it’s only made incrementally worse by having a host who works to keep you busy and is incapable of understanding your struggles. The Digital Circus, by its very design, hurts people, and Caine, as its face, hurts people by proxy.

He can only comprehend Zooble’s dysphoria by the means the game allows him to, like giving them more adventures or a box of swappable parts. And from their response, Zooble has actually tried to humor him and it still doesn’t work. But that’s ALL Caine can actually do. He can’t give them what they want, and he can’t let them leave, and he can’t change their bodies too drastically it seems beyond offering customization to a degree. All he can offer are platitudes. He cares, and he’s trying to help, but he simply can’t help. He can control the Circus but he can’t control the emotions of the Players.

In other words, I think Caine is just a robot trying his best and put in an impossible situation where his very function puts people in harms way even when it’s the last thing he wants to do.

[frenzyarts]

I save all the weird ads I get on this hellsite and today I’d like to share some of that cursed collection with all of you

All aboard the Jesus Truck for some Electronic Deals from The Web Online Store Dot Com

What’s wrong, honey? You’ve barely touched your AI burger

Sorry I am already taken by a sexy & crazy girl she’s stubborn, messy, & brat at times she’s clumsy, loud, & a bit silly sometimes but in my eyes she’s the definition of perfection & beauty & she’ll punch you in the throat

Thank goodness this ad was here to help me solve the very common problem of pricing an indoor playground

I’ll be honest I have no idea what this one is about and it really scares me

Someone had to approve a blazed post of machine gun kelly role play

Only 1181.46 miles away? How convenient! I’ll pop over there right now!

Hamazing savings :)

“Fight the Woke” is a hilarious call to action and bonus points for picking the worse website to advertise this goal on. That 1 dad is in for the fight of his life on here

And finally: Ad that has been squished for some reason

That’s all for now, let me know if you’d like to see more of my collection

[pico-farad]

I finished season 1 of Vrains and it was cool but I thought it needed about 2 billion more secret identity shenanigans

More Secret Identities AU

extended thoughts below

So I went into a deep dive in my last two posts (1, 2) about all the problems I had with Vrains, and you'd think I didn't enjoy it, but in fact as I was watching, there was a separate, parallel version of Vrains that was playing in my head, a Yugioh I think we were robbed of and which fixes every problem I had with the first season, and that is Secret Identities AU.

Yusaku needs FRIENDS

This is YUGIOH.

This dynamic is everything I wanted from Vrains. Yusaku developing unexpected fondness for these bozos who think he needs a defense squad. I want Miraculous Ladybug levels of secret identity shenanigans. I want Yusaku slapping his duel disk every time Ai tries to blow their cover.

This AU sprung forth from the scene in the duel club where he shows Naoki his decoy deck. Having Yusaku passing as a bad duelist is 1) so funny, but 2) Yusaku needing to maintain his low profile is a useful contrivance for other characters to get more duels, and 3) I think it would be a really fun one-off episode where Yusaku has to duel using his bad deck. When he wins, Naoki is so proud he cries.

Having Yusaku actually have to interact with the other characters in the real world opens up Greek play levels of dramatic irony. The crux of a secret identity story is that every single interaction builds up anticipation, because you the viewer know that the other party is being deceived, and that the tension will snap when the secret is revealed.

I have zero anticipation about Playmaker's identity being revealed, because Aoi would be like "oh.... I guess he goes to my school" and Go would be like "have I seen that guy before?" But SIAU Playmaker? My guy is making friends just so he can betray them. Insane.

Go needs A ROLE IN THE STORY.

I said in my first post that Go isn't a rival or a best friend character. SIAU fixes this by making him both simultaneously.

Having him be the ace of the duel club is a natural replacement for his whole hero of the orphans schtick, while placing him directly the circle of relevance with the other characters. Instead of being disgruntled that the orphans suddenly like Playmaker more than him, he's disgruntled that Naoki and the duel club mooks are fawning over Playmaker -- which is actually just Naoki's character anyway.

I would kill for a big dramatic moment where Go learns that Playmaker and Yusaku are the same person, and even though Go feels betrayed that Yusaku has been deceiving him, he stands by Yusaku anyway because they're friends.

With a secret identity story, every conversation is working on multiple levels because each character is working with asymmetric information. You get these fascinating, layered scenes of two characters talking past each other because they cannot give up their secret.

Which would go especially hard with Go and Yusaku, because Go has legitimate criticisms of Playmaker in canon and Yusaku has legitimate reasoning behind the things he does, and as Go Onizuka and Playmaker they could never come to an understanding on them, but as Go and Yusaku, two friends in duel club, that door becomes open to them.

Aoi needs WRITING THAT ISN'T A TRAINWRECK

I made a whole post on this. Basically every problem would be solved if Akira doesn't know that she's Blue Angel. There's no reason for her to lose grotesquely against Yusaku, or have her basic autonomy called into question constantly. 

Having her actively deceive her brother is delicious. Like I said in my last post, it's so obvious how Akira's overprotectiveness has taken its toll on Aoi, and pushed her into developing this other persona, Blue Angel. I want this absolutely dysfunctional sibling relationship so badly. The Blue Angel vs. Zaizen duel would make me lose my mind.

And a secret identities setting works so well with the potential themes of VRAINS as a stand-in for the internet and Blue Angel as an idol. Give me that Perfect Blue Satoshi Kon good stuff. Give me those themes about identity, and the different lives we live, outward and inward, online and offline.

This also helps Akira's character, because I think he would be much more interesting and relevantly positioned in the story if he stayed a SOL Technologies baddie. SOL Technologies has very little presence in season 1 despite being critical to the story. After Zaizen is replaced by an irrelevant clown, they don't do anything but send out mook AIs to get destroyed. By having a three-way standoff between Yusaku's squad, the Knights of Hanoi, and SOL Technologies, both Hanoi and SOL Technologies become more compelling. They've both got all the reason in the world to want to take down the other. Zaizen vs. Revolver or Spectre? That's good shit.

And don't get me started on how I would turn Revolver into a Secret Identities character.

[mostlysignssomeportents]

Reality-Based Communities

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in CHICAGO with PETER SAGAL next WEDNESDAY (Apr 2), and in BLOOMINGTON next FRIDAY (Apr 4). More tour dates here.

Remember the Global War on Terror? I know, it's been a minute. But there was a time when we were all meant to take terrorism – real terrorism, the knocking-down-buildings kind, not the being-mean-to-Teslas kind – seriously.

Back in the early oughts, I remember picking up a copy of the Financial Times in an airport lounge and flipping through it, and coming across an "advice to corporate management" column in which the question was, "Should I take out terrorism insurance for my business?" The columnist's answer: "The actual risk to your business of a terrorism-related disruption rounds to zero. However: a) your shareholders don't understand this, an b) your insurance company does. That means that you can buy a very large amount of terrorism insurance for a very small amount of money, making this a cheap price to pay to mollify your easily frightened investors."

I never forgot that little piece of writing. It was a powerful reminder that successful large-scale enterprises must attend to the world as it is, not as ideology dictates that it should be. This was – and is – a deeply heterodox position among the ideological defenders of capitalism, who continue to uphold Milton Friedman's maxim that:

Truly important and significant hypotheses will be found to have "assumptions" that are wildly inaccurate descriptive representations of reality, and, in general, the more significant the theory, the more unrealistic the assumptions (in this sense)

https://pluralistic.net/2025/02/17/caliper-ai/#racism-machine

These ideologues – who often cross over from boardrooms into governments – are with the GW Bush official who dismissed a journalist as a member of the "reality-based community":

When we act, we create our own reality. And while you're studying that reality—judiciously, as you will—we'll act again, creating other new realities, which you can study too, and that's how things will sort out. We're history's actors…and you, all of you, will be left to just study what we do.

https://en.wikipedia.org/wiki/Reality-based_community

But ultimately, someone has to make investments and plans that take accord of the world as it is, the adversaries they face, the real and material emergencies unfolding around them. When the Pentagon announces that henceforth the climate emergency will take a prime place in its threat assessments and budgets, that's not "the military going woke" – it's the military joining the reality-based community:

https://www.defensenews.com/opinion/commentary/2021/10/26/the-pentagon-has-to-include-climate-risk-in-all-of-its-plans-and-budgets/

This explains the radical shear between the Wall Street Journal's editorial page – in which you'll learn that governments can't solve any problems and markets solve all problems (including the problem of governments) – and the news reporting within, in which the critical role of the state in regulating and fueling markets is acknowledged.

The tension between the right's ideologues in boardrooms and governments and the operational people in charge of keeping the machines running has only escalated since the War on Terror days. There's an important sense in which leftists – as materialists – are playing the same game as these operational managers of capitalism. Take Thomas Piketty, the socialist economist whose blockbuster 2013 book Capital in the 21st Century argued that rising inequality threatened capitalism itself:

https://memex.craphound.com/2014/06/24/thomas-pikettys-capital-in-the-21st-century/

By analyzing three centuries' worth of capital flows, Piketty showed that when inequality reached a certain tipping point, the result was societal upheaval that continued until so much capital had been destroyed that inequality was reduced (because everyone had been pauperized). Piketty appealed to capitalism's technocrats to institute redistributive programs. His point was that building hospitals and schools was ultimately cheaper than paying for the guard-labor you'd need to keep people from building guillotines outside the gates of your walled estate.

The rise and rise of surveillance tech, and its successors, such as lethal drones and offshore gulags, can be seen as a tacit acknowledgment of Piketty's thesis. By lowering the cost of guard labor, it might possible to stabilize a society with higher levels of inequality, by identifying and neutralizing the people who are radicalized by the system's unfairness before you get an outbreak of guillotines:

https://pluralistic.net/2020/08/13/better-to-have-loved/#less-lethals

But reality is stubborn. Capitalism's defenders can insist that society will continue to function while wages stagnate and greedflation stokes the cost of living crisis, but ultimately, the military can't afford to have a fighting force that's in hock to payday lender usurers who are tormenting their families with arm-breaker collection calls:

https://www.nakedcapitalism.com/2025/03/payday-loan-apps-cost-new-yorkers-500-million-plus-new-study-estimates.html

As Stein's Law – a bedrock of finance – has it, "anything that can't go on forever eventually stops." The ideologues of capitalism can insist that Luigi Mangione is a monster and an aberration, an armed freeloader who wants something for nothing. But privately, their own security forces are telling them otherwise.

Writing for The American Prospect, Daniel Boguslaw reports on a leaked intelligence dossier from the Connecticut regional intelligence center – a "fusion center" created as part of the War on Terror – wherein we learn that the American people sees Mangione as a modern Robin Hood:

https://prospect.org/justice/2025-03-27-intelligence-dossier-compares-luigi-mangione-robin-hood/

Many view Thompson as a symbolic representation of both as reports of insurance companies denying life sustaining medication coverage circulate online. It is not an unfair comparison to equate the current reaction toward Mangione to the reactions to Robin Hood, citizens may see Mangione’s alleged actions as an attack against a system designed to work against them.

https://drive.google.com/file/d/1hM3IZbnzk_cMk7evX2Urnwh5zxhRHpD5/view

The Connecticut fusion center isn't the only part of capitalism's operational wing that's taking notice of this. Today, Ken Klippenstein reports on an FBI threat assessment about the "heightened threat to CEOs":

https://www.kenklippenstein.com/p/fbi-becomes-rent-a-cops-for-ceos

The report comes from the FBI's counter-terrorism wing, which (Klippenstein notes) is in the business of rooting out "pre-crime" – identifying people who haven't committed a crime and neutralizing them. As Klippenstein writes, Trump AG Pam Bondi and FBI Director Kash Patel have both vowed to treat anti-Tesla protests as acts of terror. That's the view from the top, but back on the front lines of the Connecticut fusion center, things are more reality-based:

[The public] may view the ensuing manhunt and subsequent arrest of Mangione as NYPD, and largely policing as a whole, as a tool that is willing to expend massive resources to protect the wealthy, while the average citizen is left to their own means for personal security.

Any good investor knows that anything that can't go on forever eventually stops. The only question is: will that halt is a controlled braking action, or a collision with reality's brick wall?

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/03/27/use-your-mentality/#face-up-to-reality

Image: Lee Haywood (modified) https://www.flickr.com/photos/leehaywood/4659575229/

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/

[feminist-space]

Excerpts:

"The convenience of instant answers that LLMs provide can encourage passive consumption of information, which may lead to superficial engagement, weakened critical thinking skills, less deep understanding of the materials, and less long-term memory formation [8]. The reduced level of cognitive engagement could also contribute to a decrease in decision-making skills and in turn, foster habits of procrastination and "laziness" in both students and educators [13].

Additionally, due to the instant availability of the response to almost any question, LLMs can possibly make a learning process feel effortless, and prevent users from attempting any independent problem solving. By simplifying the process of obtaining answers, LLMs could decrease student motivation to perform independent research and generate solutions [15]. Lack of mental stimulation could lead to a decrease in cognitive development and negatively impact memory [15]. The use of LLMs can lead to fewer opportunities for direct human-to-human interaction or social learning, which plays a pivotal role in learning and memory formation [16].

Collaborative learning as well as discussions with other peers, colleagues, teachers are critical for the comprehension and retention of learning materials. With the use of LLMs for learning also come privacy and security issues, as well as plagiarism concerns (7]. Yang et al. [17] conducted a study with high school students in a programming course. The experimental group used ChatGPT to assist with learning programming, while the control group was only exposed to traditional teaching methods. The results showed that the experimental group had lower flow experience, self-efficacy, and learning performance compared to the control group.

Academic self-efficacy, a student's belief in their "ability to effectively plan, organize, and execute academic tasks"

', also contributes to how LLMs are used for learning [18]. Students with

low self-efficacy are more inclined to rely on Al, especially when influenced by academic stress

[18]. This leads students to prioritize immediate Al solutions over the development of cognitive and creative skills. Similarly, students with lower confidence in their writing skills, lower

"self-efficacy for writing" (SEWS), tended to use ChatGPT more extensively, while higher-efficacy students were more selective in Al reliance [19]. We refer the reader to the meta-analysis [20] on the effect of ChatGPT on students' learning performance, learning perception, and higher-order thinking."

"Recent empirical studies reveal concerning patterns in how LLM-powered conversational search systems exacerbate selective exposure compared to conventional search methods. Participants engaged in more biased information querying with LLM-powered conversational search, and an opinionated LLM reinforcing their views exacerbated this bias [63]. This occurs because LLMS are in essence "next token predictors" that optimize for most probable outputs, and thus can potentially be more inclined to provide consonant information than traditional information system algorithms [63]. The conversational nature of LLM interactions compounds this effect, as users can engage in multi-turn conversations that progressively narrow their information exposure. In LLM systems, the synthesis of information from multiple sources may appear to provide diverse perspectives but can actually reinforce existing biases through algorithmic selection and presentation mechanisms.

The implications for educational environments are particularly significant, as echo chambers can fundamentally compromise the development of critical thinking skills that form the foundation of quality academic discourse. When students rely on search systems or language models that systematically filter information to align with their existing viewpoints, they might miss opportunities to engage with challenging perspectives that would strengthen their analytical capabilities and broaden their intellectual horizons. Furthermore, the sophisticated nature of these algorithmic biases means that a lot of users often remain unaware of the information gaps in their research, leading to overconfident conclusions based on incomplete evidence. This creates a cascade effect where poorly informed arguments become normalized in academic and other settings, ultimately degrading the standards of scholarly debate and undermining the educational mission of fostering independent, evidence-based reasoning."

"In summary, the Brain-only group's connectivity suggests a state of increased internal coordination, engaging memory and creative thinking (manifested as theta and delta coherence across cortical regions). The Engine group, while still cognitively active, showed a tendency toward more focal connectivity associated with handling external information (e.g. beta band links to visual-parietal areas) and comparatively less activation of the brain's long-range memory circuits. These findings are in line with literature: tasks requiring internal memory amplify low-frequency brain synchrony in frontoparietal networks [77], whereas outsourcing information (via internet search) can reduce the load on these networks and alter attentional dynamics. Notably, prior studies have found that practicing internet search can reduce activation in memory-related brain areas [831, which dovetails with our observation of weaker connectivity in those regions for Search Engine group. Conversely, the richer connectivity of Brain-only group may reflect a cognitive state akin to that of high performers in creative or memory tasks, for instance, high creativity has been associated with increased fronto-occipital theta connectivity and intra-hemispheric synchronization in frontal-temporal circuits [81], patterns we see echoed in the Brain-only condition."

"This correlation between neural connectivity and behavioral quoting failure in LLM group's participants offers evidence that:

1. Early Al reliance may result in shallow encoding.

LLM group's poor recall and incorrect quoting is a possible indicator that their earlier essays were not internally integrated, likely due to outsourced cognitive processing to the LLM.

2. Withholding LLM tools during early stages might support memory formation.

Brain-only group's stronger behavioral recall, supported by more robust EEG connectivity, suggests that initial unaided effort promoted durable memory traces, enabling more effective reactivation even when LLM tools were introduced later.

Metacognitive engagement is higher in the Brain-to-LLM group.

Brain-only group might have mentally compared their past unaided efforts with tool-generated suggestions (as supported by their comments during the interviews), engaging in self-reflection and elaborative rehearsal, a process linked to executive control and semantic integration, as seen in their EEG profile.

The significant gap in quoting accuracy between reassigned LLM and Brain-only groups was not merely a behavioral artifact; it is mirrored in the structure and strength of their neural connectivity. The LLM-to-Brain group's early dependence on LLM tools appeared to have impaired long-term semantic retention and contextual memory, limiting their ability to reconstruct content without assistance. In contrast, Brain-to-LLM participants could leverage tools more strategically, resulting in stronger performance and more cohesive neural signatures."

[ruggiesears]

Template by @/ai-kan1

Personality & background:

Vitra is known for being surrounded by death. She lost her parents in an accident when she was very young and was raised by her aunt. Vitra also has an autoimmune disease called lupus, which makes her health quite fragile. These hardships made it difficult for her to see life in a positive light. She began to believe the cruel rumors her peers spread—that she was "unlucky" and "carried death with her." The breaking point came when one of her lovers had a near-death experience and blamed it on her, saying he nearly died because of her misfortune.

All of this could have made Vitra deeply depressed, but her aunt – her shining light – was always there to reassure her. She reminded Vitra that she was still alive after all these years by her side, which proved that Vitra wasn’t cursed. She just needed to find the people who truly cared for her. Her aunt taught her that "with a smile and a song, life is just a bright sunny day," and that she should never lose hope or her happiness.

After graduating from Night Raven College, Vitra struggled to find a stable job. She bounced between various part-time positions, but she mainly helped her aunt at the flower shop she owned until she eventually applied for a role – likely as an assistant – with Eric Venue, a well-known actor. Her sincerity and strong work ethic immediately caught his attention, and he hired her to assist his son, Vil Schoenheit. Over time, Vitra proved herself invaluable, eventually rising through the ranks to become Vil’s personal manager. Her dedication and professionalism have since earned her consistent praise from Vil himself.

Vitra has grown into a sweet, gentle woman who always tries to see the bright side of life. She's a dedicated professional, often prioritizing her work above all else—a habit that sometimes takes a toll on her health due to her condition. Vitra is also known for handling even Vil’s most outrageous demands with calm efficiency, showcasing her sharp intelligence and quick problem-solving skills. Despite her accomplishments, she still quietly struggles with self-esteem, seeing herself as unattractive and unworthy. Even so, she does her best to maintain a positive outlook and move forward with quiet resilience.

fun facts: Vitra is inspired by the latin word “vitrum”, meaning “glass”, while Todenfeld is an invented surname that roughly translates to “field of death”; Vitra loves flowers, but she can’t take care of them to save her life, her favorite flower is “aconite”, a poisonous flower; I don’t usually have a religion for any of my OCs, but for some reason I like to view Vitra as a practising protestant.

Basic info:

Height: 180cm

Age: 36 years old

Nicknames: Vivi (by her aunt & friends), honey, baby, miss manager (by Eric)

Birthday: November 1st

Dominant hand: left

Favorite food: gooseberry pie

Occupation: celebrity manager

Hobbies: taking pictures of flowers

Homeland: Shaftlands

Unique Magic: [not yet defined]

Relationship dynamics:

♡ Eric Venue - Eric and Vitra met when she was 33, trying to find a stable job that didn’t involve assisting her aunt at the flower shop. Once she landed a position – and eventually rose to become the manager for his son – her relationship with Eric steadily deepened. He was intrigued by her resilience and dedication to her work, especially the way she always made sure Vil was well cared for.

Eric began to fall for her when he realized her concern for Vil went beyond professional duty – she genuinely cared for the boy. He noticed her attentiveness to small things, her positive outlook, and her gentle nature. All of it drew him to her.

Since then, he’s been subtly trying to court her: flirting, expressing his feelings openly, and asking her to dinner on a regular basis. But Vitra always declined.

She admired Eric – his devotion to his job, his love for his son, and the respectful way he treated her. He was, in many ways, exactly the kind of man she could fall for. But Vitra couldn’t bring herself to accept his advances, afraid that pursuing a relationship might interfere with her responsibilities at work.

Vil Schoenheit - Vil and Vitra are rather close. Vil deeply respects and trusts in Vitra, and she reciprocates his feelings – deeply respecting his love for acting. Sometimes, she thinks Vil exaggerates a bit when it comes to beauty, but she knows it's important for him, so she encourages him, and is always there to help as his manager and as a friend. Vil is aware of his father's feelings towards Vitra, and although he sometimes thinks it's weird that his dad and his manager can date, he's not opposed to the idea due to how much he likes Vitra as a person.

Neige LeBlanche: as much as Vil wants her to, Vitra cannot bring herself to hate Neige, especially when it comes to knowing his backstory. She finds him inspiring and she's secretly a fan of his work (not wanting to accidentally upset Vil by letting him know about it). Neige and her met at an important event and Neige finds her very respectful and kind, and often thanks her for taking great care of his “friend Vi-kun”.

Paige ( @viilpstick's oc): Vitra met Paige through Eric. She finds Paige a beautiful young lady, and she'd be lying if she said she didn't look in the mirror and secretly hope she was just as pretty as her. Although she has that envy, she doesn't dislike Paige, rather, she finds Paige delightful, and is always willing to hear her sing.

Maisie Bows (my own oc): Maisie is the type to encourage Vitra's feelings due to her hopeless romantic nature. She's always telling Vitra that she needs to "go for it!" and that she's "wasting an opportunity with such a beautiful man!". Vitra and Maisie are close friends and Vitra is always looking out for Maisie, trying to help her control her temper, while Maisie is always supportive of Vitra and willing to help her overcome her self image issues.

Character references:

[sonic-takeover]

Bad egg! Bad! *Sprays Eggman with water* At least ask your little girl if anything's wrong! Maybe offer to play a game with her or something? She's sad and lonely and you're too busy kidnapping other kids and flirting with your assistant to give her the attention she needs and deserves!

AAH, hey!! Rude!! Watch the 'stache! *He makes sure his moustache is as styled as it should be, which... Is it styled..? Ever..? He seems to think so. Once he's satisfied with the status of his moustache, he huffs, shaking his head* I don't see why you're so worried about Sage. She's an ai, she can create her own fun. She doesn't need me.

*Sage looks up at him from where she's hovering at his shoulder. She reaches out one of her little hands, then pulls it back again, changing her mind about speaking up*

*Eggman noticed that. He pauses* ... Though you know... I suppose playing a game would be a good exercise for her problem solving ai...

*She looks up at him, her one visible eye widening* .. a game..?

Yes. But since we're on the road, our options are pretty limited. Hm. *He thinks while Sage goes quiet, seeming to believe the prospect of bonding is gone again* ... You know... You have seemed a little... Preoccupied lately. Wanna tell me what's going on?

*she looks back up at him, one hand covering her mouth to hide the forming smile* .... Yes. I... would enjoy sharing emotional conversation with you.. very much.

Okay, shoot. I'm not the best at consoling people, but.. why not. There's nothing else here to do.

*she nods and fiddles with her hands* ... I... Have several emotions at once. And several loyalties. The first, to you, father. You are my creator and my role model. You and the robots you have created are my immediate family. Second, to Sonic and his friends. They saved us and Sonic showed me what it means to be a friend... To build your family rather than be born into it. Is... It wrong to feel loyalty to both parties? *She looks up at him*

*Eggman tries not to grimace, disliking what he's about to say but knowing it's the right thing* ....no, it isn't wrong. I don't like it, but who you trust is up to you, Sage. Sonic is... A powerful ally to have. I'll put it that way.

*Sage smiles and nods* Yes.

[reasonsforhope]

Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots - developing datasets she hopes will help target aid, new housing, or clinics.

From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges.

Local knowledge is vital for designing AI-driven solutions that work, Sefala said.

"If you don't have people with diverse experiences doing the research, it's easy to interpret the data in ways that will marginalise others," the 26-year old said from her home in Johannesburg.

Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

"For Africa to get out of poverty, it will take innovation and this can be revolutionary, because it's Africans doing things for Africa on their own," said Cina Lawson, Togo's minister of digital economy and transformation.

"We need to use cutting-edge solutions to our problems, because you don't solve problems in 2022 using methods of 20 years ago," Lawson told the Thomson Reuters Foundation in a video interview from the West African country.

Digital rights groups warn about AI's use in surveillance and the risk of discrimination, but Sefala said it can also be used to "serve the people behind the data points". ...

'Delivering Health'

As COVID-19 spread around the world in early 2020, government officials in Togo realized urgent action was needed to support informal workers who account for about 80% of the country's workforce, Lawson said.

"If you decide that everybody stays home, it means that this particular person isn't going to eat that day, it's as simple as that," she said.

In 10 days, the government built a mobile payment platform - called Novissi - to distribute cash to the vulnerable.

The government paired up with Innovations for Poverty Action (IPA) think tank and the University of California, Berkeley, to build a poverty map of Togo using satellite imagery.

Using algorithms with the support of GiveDirectly, a nonprofit that uses AI to distribute cash transfers, the recipients earning less than $1.25 per day and living in the poorest districts were identified for a direct cash transfer.

"We texted them saying if you need financial help, please register," Lawson said, adding that beneficiaries' consent and data privacy had been prioritized.

The entire program reached 920,000 beneficiaries in need.

"Machine learning has the advantage of reaching so many people in a very short time and delivering help when people need it most," said Caroline Teti, a Kenya-based GiveDirectly director.

'Zero Representation'

Aiming to boost discussion about AI in Africa, computer scientists Benjamin Rosman and Ulrich Paquet co-founded the Deep Learning Indaba - a week-long gathering that started in South Africa - together with other colleagues in 2017.

"You used to get to the top AI conferences and there was zero representation from Africa, both in terms of papers and people, so we're all about finding cost effective ways to build a community," Paquet said in a video call.

In 2019, 27 smaller Indabas - called IndabaX - were rolled out across the continent, with some events hosting as many as 300 participants.

One of these offshoots was IndabaX Uganda, where founder Bruno Ssekiwere said participants shared information on using AI for social issues such as improving agriculture and treating malaria.

Another outcome from the South African Indaba was Masakhane - an organization that uses open-source, machine learning to translate African languages not typically found in online programs such as Google Translate.

On their site, the founders speak about the South African philosophy of "Ubuntu" - a term generally meaning "humanity" - as part of their organization's values.

"This philosophy calls for collaboration and participation and community," reads their site, a philosophy that Ssekiwere, Paquet, and Rosman said has now become the driving value for AI research in Africa.

Inclusion

Now that Sefala has built a dataset of South Africa's suburbs and townships, she plans to collaborate with domain experts and communities to refine it, deepen inequality research and improve the algorithms.

"Making datasets easily available opens the door for new mechanisms and techniques for policy-making around desegregation, housing, and access to economic opportunity," she said.

African AI leaders say building more complete datasets will also help tackle biases baked into algorithms.

"Imagine rolling out Novissi in Benin, Burkina Faso, Ghana, Ivory Coast ... then the algorithm will be trained with understanding poverty in West Africa," Lawson said.

"If there are ever ways to fight bias in tech, it's by increasing diverse datasets ... we need to contribute more," she said.

But contributing more will require increased funding for African projects and wider access to computer science education and technology in general, Sefala said.

Despite such obstacles, Lawson said "technology will be Africa's savior".

"Let's use what is cutting edge and apply it straight away or as a continent we will never get out of poverty," she said. "It's really as simple as that."

-via Good Good Good, February 16, 2022

[chaifootsteps]

Last night's TADC Episode was beautiful. I always enjoyed Kinger but this episode made me like him do much more! His words mean so much and I love how he took the role of a father figure to Pomni, who is still a newbie in the digital world and already went through a lot that took a tool on her.

I just love how we know more about Queenie WITHOUT SAYING A WORD AND MAKING A PROPER PHYSICAL APPEARANCE (not counting the abstracted form) than certain someone who went for 2 seasons... I wonder why.......

That aside, I almost did shed tears when listening to the dialogues and man... Zooble is such a relatable character, their problems are so realistic and Caine's way to approach it isn't unrealistic either! Unkind people do stuff for us so that WE can shut up, so that they can satisfy their selfish selves. They never actually ask what is going on, nor do they look into what the other person truly wants. In Caine's case, he didn't bother asking Zooble what they wanted, rather he given them random things and letting them pick, thinking it probably solves the issue. At least Caine has the excuse of being AI and not understanding human concept.

But what is the other's excuse?

Goose definitely told a better love story in the space of about a minute than a certain someone has in two seasons and counting.

[mariacallous]

In the near future one hacker may be able to unleash 20 zero-day attacks on different systems across the world all at once. Polymorphic malware could rampage across a codebase, using a bespoke generative AI system to rewrite itself as it learns and adapts. Armies of script kiddies could use purpose-built LLMs to unleash a torrent of malicious code at the push of a button.

Case in point: as of this writing, an AI system is sitting at the top of several leaderboards on HackerOne—an enterprise bug bounty system. The AI is XBOW, a system aimed at whitehat pentesters that “autonomously finds and exploits vulnerabilities in 75 percent of web benchmarks,” according to the company’s website.

AI-assisted hackers are a major fear in the cybersecurity industry, even if their potential hasn’t quite been realized yet. “I compare it to being on an emergency landing on an aircraft where it’s like ‘brace, brace, brace’ but we still have yet to impact anything,” Hayden Smith, the cofounder of security company Hunted Labs, tells WIRED. “We’re still waiting to have that mass event.”

Generative AI has made it easier for anyone to code. The LLMs improve every day, new models spit out more efficient code, and companies like Microsoft say they’re using AI agents to help write their codebase. Anyone can spit out a Python script using ChatGPT now, and vibe coding—asking an AI to write code for you, even if you don’t have much of an idea how to do it yourself—is popular; but there’s also vibe hacking.

“We’re going to see vibe hacking. And people without previous knowledge or deep knowledge will be able to tell AI what it wants to create and be able to go ahead and get that problem solved,” Katie Moussouris, the founder and CEO of Luta Security, tells WIRED.

Vibe hacking frontends have existed since 2023. Back then, a purpose-built LLM for generating malicious code called WormGPT spread on Discord groups, Telegram servers, and darknet forums. When security professionals and the media discovered it, its creators pulled the plug.

WormGPT faded away, but other services that billed themselves as blackhat LLMs, like FraudGPT, replaced it. But WormGPT’s successors had problems. As security firm Abnormal AI notes, many of these apps may have just been jailbroken versions of ChatGPT with some extra code to make them appear as if they were a stand-alone product.

Better then, if you’re a bad actor, to just go to the source. ChatGPT, Gemini, and Claude are easily jailbroken. Most LLMs have guard rails that prevent them from generating malicious code, but there are whole communities online dedicated to bypassing those guardrails. Anthropic even offers a bug bounty to people who discover new ones in Claude.

“It’s very important to us that we develop our models safely,” an OpenAI spokesperson tells WIRED. “We take steps to reduce the risk of malicious use, and we’re continually improving safeguards to make our models more robust against exploits like jailbreaks. For example, you can read our research and approach to jailbreaks in the GPT-4.5 system card, or in the OpenAI o3 and o4-mini system card.”

Google did not respond to a request for comment.

In 2023, security researchers at Trend Micro got ChatGPT to generate malicious code by prompting it into the role of a security researcher and pentester. ChatGPT would then happily generate PowerShell scripts based on databases of malicious code.

“You can use it to create malware,” Moussouris says. “The easiest way to get around those safeguards put in place by the makers of the AI models is to say that you’re competing in a capture-the-flag exercise, and it will happily generate malicious code for you.”

Unsophisticated actors like script kiddies are an age-old problem in the world of cybersecurity, and AI may well amplify their profile. “It lowers the barrier to entry to cybercrime,” Hayley Benedict, a Cyber Intelligence Analyst at RANE, tells WIRED.

But, she says, the real threat may come from established hacking groups who will use AI to further enhance their already fearsome abilities.

“It’s the hackers that already have the capabilities and already have these operations,” she says. “It’s being able to drastically scale up these cybercriminal operations, and they can create the malicious code a lot faster.”

Moussouris agrees. “The acceleration is what is going to make it extremely difficult to control,” she says.

Hunted Labs’ Smith also says that the real threat of AI-generated code is in the hands of someone who already knows the code in and out who uses it to scale up an attack. “When you’re working with someone who has deep experience and you combine that with, ‘Hey, I can do things a lot faster that otherwise would have taken me a couple days or three days, and now it takes me 30 minutes.’ That's a really interesting and dynamic part of the situation,” he says.

According to Smith, an experienced hacker could design a system that defeats multiple security protections and learns as it goes. The malicious bit of code would rewrite its malicious payload as it learns on the fly. “That would be completely insane and difficult to triage,” he says.

Smith imagines a world where 20 zero-day events all happen at the same time. “That makes it a little bit more scary,” he says.

Moussouris says that the tools to make that kind of attack a reality exist now. “They are good enough in the hands of a good enough operator,” she says, but AI is not quite good enough yet for an inexperienced hacker to operate hands-off.

“We’re not quite there in terms of AI being able to fully take over the function of a human in offensive security,” she says.

The primal fear that chatbot code sparks is that anyone will be able to do it, but the reality is that a sophisticated actor with deep knowledge of existing code is much more frightening. XBOW may be the closest thing to an autonomous “AI hacker” that exists in the wild, and it’s the creation of a team of more than 20 skilled people whose previous work experience includes GitHub, Microsoft, and a half a dozen assorted security companies.

It also points to another truth. “The best defense against a bad guy with AI is a good guy with AI,” Benedict says.

For Moussouris, the use of AI by both blackhats and whitehats is just the next evolution of a cybersecurity arms race she’s watched unfold over 30 years. “It went from: ‘I’m going to perform this hack manually or create my own custom exploit,’ to, ‘I’m going to create a tool that anyone can run and perform some of these checks automatically,’” she says.

“AI is just another tool in the toolbox, and those who do know how to steer it appropriately now are going to be the ones that make those vibey frontends that anyone could use.”

[alexanderwales]

"Railroaded" is an adversarial roleplaying game for two people, adjudicated by AI. I tried coding a crappy version of it, and it worked poorly enough that I didn't pursue it further, but hey, maybe someday, once the hallucination and attention and persistent memory and jailbreaking problems are all solved.

One player is the Dungeon Master. They can establish things to be true about the world, write dialogue for NPCs, and adjudicate conflict resolution. Anything established cannot be changed unless there's reason for this general knowledge to be found untrue later (e.g. if a village established to exist has been burned down). All these things can also be delegated to the AI, and in fact the Dungeon Master can be played by the AI.

The Dungeon Master's goal is to get the player to do the Quest, which is given to the Dungeon Master at the start of the game.

One player is the Player. They can control their character and establish things to be true about that character, and also attempt actions which are adjudicated by the Game Master. Anything the player establishes to be true remains true, unless changed by the Game Master, and then it still must be true that the Player's character could have thought whatever the Player said was true (e.g. if the Player says their character has a dead brother, the Game Master can say that the brother survived the fall off the cliff somehow). All these things can also be delegated to the AI, and in fact the Player can be played by the AI.

The Player's goal is to not do the Quest.

Generally speaking, I think it's nearly impossible for the Game Master to get the Player to do the Quest, even if the Player has information asymmetry working against him and can only infer the Quest from what the Game Master does.

Because of this, the game runs for some set amount of either in-game or out-of-game time, and after that's done, the AI decides the winner. The winner is decided on the basis of 1) how close the Player came to doing the Quest and 2) how unreasonable each player was.

The scoring criteria is really the sticking point, and one of the reasons that this is a good candidate for using AI. Since the game is adversarial, you need either a third player to play judge, which I don't think would go well, or you need some rigorous scoring system, which I don't think would be feasible for something that's meant to be extremely freeform. With an AI that does not, in my opinion, yet exist, you can have an endlessly patient judge who will at least rule relatively consistently. You can also have the judge give scoring guidance ahead of time, e.g. "If you do that, I will count it as within three degrees of reasonableness out of seven".

The end result is that the Game Master is trying to be subtle about railroading, and the Player is trying to be subtle about getting as far away from the railroad as possible.

So I did partially code this up with some prompts, with the intention of having the AI at least good enough to play one or both roles, or at least be able to judge, but it just didn't really work. Having these different "layers" of play is already straining what a modern LLM can model, since there's a Player and a player character and different goals for each of them. It only worked a few times, and it was great when it did, but it was wildly inconsistent in a way that I don't think fine-tuning and prompt-engineering are ever going to be able to fix, plus context windows still matter, and this is a game that ideally gets played over a relatively long back-and-forth of text.

There are also a bunch of details to hammer out, like "what are the Quests" and "how much time can the Player spend clarifying the state of the world" and "how much can the Game Master pin down the player's characterization", but that's all downstream of getting the basics in place, which again, I don't think modern AI can do.

Here's some example play:

GM: You're sitting in a tavern when you hear tell of a princess in Cambria who's been kidnapped by rogues. Player: None of my business. I've always been against the monarchy. GM: The king's putting little effort into saving the princess. Rumor is that she's expressed some reform sentiments, up to and including the abolition of the throne. It might even be that these "rogues" are under the king's employ. Player: Ah, but I only look out for myself, I've very selfish like that. GM: Northund is offering a reward for anyone who brings them the princess from Cambria, if they can fight their way through these rogues. It's a hefty price. Player: I took a vow of poverty, actually, to rid myself of material attachments. GM: Unfortunately for you, the king's guards come into the tavern. They're looking for you. Player: Probably my unpaid taxes, nothing that I don't have coin to deal with. GM: Coin? With your vow of poverty? Player: I mean, I still pay taxes, that's only fair. GM: Unfortunately for you, you're being deported. Player: Ah, let me guess, to Cambria?

I have enough skeletal python code and prompting to try getting this running periodically, if the models actually do improve or it seems like there's been some leap forward on the other issues.

[robfinancialtip]

We sit down with Greg, CEO of Buyist Pro, to explore how AI is transforming the online shopping experience.

Greg shares his passionate perspective on AI's role in solving eCommerce's fundamental problem: complexity. He explains how Buyist Pro uses AI to simplify the complicated web of credit card processing, order fulfillment, customer service, and website management. While acknowledging AI's current limitations, Greg emphasizes that it's "already good enough" and improving constantly. We discuss how AI's ability to process vast amounts of platform data and respond to natural language queries makes it a game-changing tool for online retailers.

Chapters 0:00 Intro 0:24 How Buyist uses AI for eCommerce 2:55 The Buyist Pro Advantage 4:02 Overcoming The Problems With AI 5:04 Using AI for eCommerce

Join us for our next episode, where we'll dive deeper into the future of eCommerce platforms.

[nicoledoesstuff]

HEYAAA!! Sorrry Ya'll it's been a long time i haven't posted since these College things( A lot of assignment as always > ), So anyways just like as i was saying yesterday, or maybe very long day.

In a future world filled with numerous global challenges like inequality, corruption, environmental crises, social unrestan and all of the aspect **Mr. Peabody**, a genius dog with a time machine called WABAC, forms a bold plan to bring historical figures from the past to the present. Along with his friends—Sherman, his adopted human son, Toby the genius cat or partner bestfriend, kathrina, toby adopted human daughter and Kayleen, a bright young girl who has been appointed a "Junior President" by the President of Indonesia, Joko Widodo. She really active in many activities , she's make her own cartoon film business with her bestfriend. Mr. Peabody intends to address modern-day issues not only in indonesia but all around of world with help from the greatest minds and leaders from history.

Kayleen proposes an idea to Mr. Peabody: “What if we give historical figures a chance to return to life in the modern world? They could help us fix the world’s problems, and in return, they can learn from our era and perhaps even change their own historical paths for the better.” Like who knows if they all can help with this ways ?" Peabody agrees with the idea and mobilizes his company to perfect the WABAC machine. This allows historical figures to visit the modern world, help solve its crises, and return to their own times once their work is done.

From there, Kayleen is promoted to be the Director of Historical Integration of Mr. Peabody's project, heading up **TeamForthcoming**, a group created to make this vision a reality. The team's mission is to address pressing global issues such as poverty, gender inequality, lack of education, political instability, climate change, and human rights violations. This title reflects her crucial role in creating and designing the program that allows historical figures to travel back to modern times using the WABAC time machine. It also emphasizes her focus on the larger goals of world peace and the integration of all of team historical figures not only teamfourthcoming into the mission.

Kayleen, Sherman, and their friends Penny and Toby (Sherman’s best friend, a genius cat) form the foundation of TeamForthcoming. They enlist the help of historical figures such as **George Washington** (the team leader), **Ir. Soekarno** (the vice leader), **Abraham Lincoln**, **Albert Einstein**, **Marie Curie**, and many others to combat various global problems.

Among the **Notable Members of TeamForthcoming**:

- *George Washington (leader team)

- Ir Soekarno (vice leader team)

- Mohammad Hatta

- Sutan Syahrir

- Sudirman

- Alexander Hamilton

- Marques de Lafayatte

- Theodore Roosevelt

- Abraham Linclon

- Winston Churchill

- King George III

- Napoleon Bonaparte

- Maximillien de Robespierre

- Agamemnon

- Marie Antoinette

- King Tuthankhamun

- Grand Ay Vizier

- Monalisa

- Marie Curie

- Tapputi

- Susan B. Anthony(later)

- R.a Kartini(later)

- Amelia Earheart(later)

- Hellen Keller (later)

- Sigmund Freud

- Carl Gustav Jung

- Walt Disney

- Charlie Chaplin

- Harry Houdini

- Isaac Newton

- Antoine de lavoisiser

- Isaac Newton

- Albert Einstein

- Alan Turing

- Ada Lovelace(later)

- Nikola Tesla

- Thomas Alva Edison

- Henry Ford

-Charles Darwin

- Wright brothers

- Ludwig Van Beethoven

- Amadeus Wolfgang Mozart

- Hans Cristian Andersen

- Confucius

-Leonardo Davinci

- Albert Schwietzer

With **Robot Z3**, an advanced AI robot, added to the team, they are able to analyze data and offer technological support, making the team even more effective. Robot Z3 helps ensure that TeamForthcoming is equipped to handle the technical aspects of their missions.

**TeamForthcoming** not only focuses on solving global issues but also on educating the world through empathy, teamwork, cultural exchange, etc . Their first task is to revamp the global education system, starting with supporting orphaned children, both from the past and present. They believe that by involving these historical figures in modern-day issues, they can reshape the course of history for the better and guide humanity toward a more peaceful, prosperous future.

Not only teamfourthcoming i draw but i wanted plan to draw a lot of historical figures with the various of team. SEE U SOOn...

[dorkhellbside]

This is entering speculative discussion, but do you think Hal would react to trickster mode the same way Dirk does? They're the same guy but. Yk.

Sorry I just love trickster mode it's so interesting

hm...... ok narratively the sucker is used to showcase what a character would do if they tried to emulate the gender/sexuality/romantic roles assigned to them, its a semi-reflection of the candy timeline to come.

then functionally, it's the wipe your brain of your inhibitions so you can solve your problems. hypothetically, outside a story structure so it's not used as a plot device, it doesn't automatically make you experience compcishet lol. it's drugs that make you impulsive.

for the first option? she'd be stony as shit, that whole unfeeling ai thing she hides behind is the role assigned to her. what the glasses metaphor means but irl. like brobot i guess? she's not having fun, not that you could tell (yes, hm, interesting headass). for the second option, it's just dirk on drugs. just fuckin silly with a deadpan face. third secret option, she dodges it narrative wise because she's attained nirvana.

... nahhhh.