#AI Based Predictive Analysis

[public-cloud-computing]

How Generative AI is Improving Business Forecast Accuracy

Reference : How Generative AI is Improving Business Forecast Accuracy - Medium

The age of digital transformation is upon us, and organizations are actively searching for inventive methods of outperforming rivals. One of the most revolutionary achievements in this regard is the inclusion of Generative AI into BI systems. Generative AI — a sub-category of AI that can create new data samples that are similar to a given set of data — is the revolutionary in forecasting and planning that BI uses. This article shows how generative AI is going to change the way we use business intelligence for forecasting and planning, its advantages, applications and ethical challenges.

The development of Business Intelligence

However, to start with the place of AI in BI forecasting and planning, it is important to comprehend the development of BI and its role in modern operation. Being a term that encompasses different tools, applications and methodologies, Business Intelligence enable an organization to gathering, analyzing and interpreting data to make the right decisions. Traditional BI platforms were mainly based on descriptive and diagnostic analytics with the focus on past performance and identifying prevailing trends.

Hence, with companies appreciating more and more the crucial role of predictive and prescriptive analytics for future success and competitive advantage, there is a heightened requirement for progressively complicated and competent BI tools. It is at this point where generative AI is brought into the equation, characterized by high-level capabilities capable of reshaping BI forecasting and planning strategies.

Through Generative AI in BI Forecasting and Planning, its capabilities can be utilized.

Enhanced Predictive Analytics

Generative AI uniquely increases the efficiency of predictive analytics through the use of complex data sets with advanced machine learning algorithms that factor out the accuracy of predictive models. It is true that unlike the traditional predictive analytics which mostly rely on predetermined algorithms and patterns, the power of AI is in its ability to create new data points and imaginary characters. This opens new opportunities for businesses to know the changing trends of the market better than their competitors and therefore become more efficient.

Generative AI is capable of identifying hidden patterns and subtle relationships contained in big and complex data sets which traditional BI tools fail to catch. Through the crunching of different variables and factors, generative AI can determine business’ insights into the market trends, customer behavior and possible threats and opportunities so that they can make decisions with aim of making the business to be successful.

Scenario Simulation

One of the further developments of AI generative technology is the scenario simulation which facilitates the forecasting and planning strategizing. Generative AI is capable of simulating multiple business scenarios due to its capability to generate synthetic datasets which are based on historical data. This way businesses are able to check and compare alternative strategies and their expected consequences allowing them to make wise decisions in the course of their planning process.

Realistic and accurate simulation by generative AI help to identify eccentric risks and probable openings, estimate the direction of different factors and see that business strategy is sturdy and responsive. This leads to increased agility and durability of enterprises, which allows them to follow quickly the rapidly flowing changes of market conditions and to grab new business opportunities.

Personalized Insights

The AI technologies also generates the personalized responses by analyzing the user’s behavior and inclination. Such an approach helps to uncover the most appropriate marketing and sales directions, which leads to great chances to increase among clients and their loyalty.

Revealing customer data, e.g. shopping history, browsing behavior and interaction with marketing campaigns, through sophisticated data analysis generative AI can find shortcomings and trends and craft personalized offers and recommendations for customers. It helps in planning and implementing marketing and sales strategies, thus it creates consumer engagement and sales growth.

Automating Routine Tasks

Generative AI might even be able to run the whole of the forecasting and planning activities, including data collection, processing and report writing. It gives BI professional additional spare time to focus more on strategic and analytical applications rather than spending it on simple data arrangement.

Generative AI in automation can help companies reduce routinary and time-consuming jobs and help them to grow in operations’ efficiency, cut down on operational costs and make their decision-making quicker. By doing this BI team productivity and performance will show up eventually allowing the team members to deliver more value to the organization.

Real-time Analytics

Generative AI does real-time analytics to keep tabs on the market updates and, consequently, helps a company to act in a timely manner, whenever there is a need for any market adjustments. However, this ability may be critically vital for industrial sectors that have very volatile markets such as retail, finance, and health care.

Thanks to real-time data analysis, generative AI brings business with a unique opportunity to spot and address emergent trends early, find new prospects, and stay informed about their key performance indicators in order to maximize performance and avoid losses on the spot. Technological advancement gives businesses a real edge of fast-decision making and flexibility, and it helps them to take the most of their opportunities.

Improved Data Quality

Generative AI has a great potential of boosting dat quality through detection and correction of such errors as clashing, inconsistency and outliers in data sets. As a result of this, forecasting will have a stronger fundament and would be more reliable and accurate, which minimizes the risk of making hasty decisions that are based on incomplete information.

Through enhancing data quality, generative AI gives to the businesses the opportunity to acquire better decisions thanks more to evidence and veracity, better shape the predictive models’ reliability and accuracy, as well as to enhance the efficiency of the forecasting and planning processes. This improves the accuracy and trustworthiness of the information promoted by BI which helps the businesses make informed decisions with vigour.

Ethical Considerations

Even if generative AI in BI can bring about positive outcomes in forecasting and planning, one should also think about AI ethic issues which might arise and hinder the implementation of this technology. Enterprises should pay special attention that AI models are trained and applied with data collected and used in accordance with the data ethical norms, privacy and compliance regulations established by the lawmakers.

Data Privacy and Security

The AI of the future relies on getting access to relevant and numerous data sets to create meaningful and valued outputs. Companies must have data privacy and security policies to be aware of threats of data misuse, unauthorized access and breaches. Those policies must ensure that only authorized personnel could access sensitive and confidential information of others.

Transparency and Accountability

Therefore, generative AI, which has complex machine learning algorithms to achieve their goals and yield outcomes that are sometimes difficult to decode is one of the advanced technologies of AI. The realm of ethics should include but not be limited to the notion of how the AI “black boxes” function, how decision making comes about, or how any possible biases are identified and dealt with.

Fairness and Bias

AI that is able to creatively could unwittingly therefore keep and amplify the current unfavorable and unfair indications, which is present in the training data for the model. Organizations should eliminate bias and identify mechanisms that can modulate the bias and promote equality. Thus, A.I. must generate unbiased and equitable information.

Conclusion

In the meantime, generative AI is making BI more efficient with imperative analytics, allowing to simulate with different scenarios, wherever applicable providing specific insights on an individual level, automating the routine tasks, availability of real-time analytics, increment in the quality of the data as well as securing the competitive advantage. However, businesses should indeed manage not only the operative questions, but also the ethical aspects confirming due performance when working with data in order to take the best from generative AI in BI.

The prominence of generative AI in today’s business sphere is unimaginable. Businesses always modernize and adapt to changing business environments. This calls for businesses to implement outputs of generative AI in their BI systems into lately. Through the inclusive implementation of the transforming impact of AI with the ethics keeping quiet, companies can become successful because of the cut-throat competition and the fast moving of businesses, in the business world.

[precallai]

How AI Is Revolutionizing Contact Centers in 2025

As contact centers evolve from reactive customer service hubs to proactive experience engines, artificial intelligence (AI) has emerged as the cornerstone of this transformation. In 2025, modern contact center architectures are being redefined through AI-based technologies that streamline operations, enhance customer satisfaction, and drive measurable business outcomes.

This article takes a technical deep dive into the AI-powered components transforming contact centers—from natural language models and intelligent routing to real-time analytics and automation frameworks.

1. AI Architecture in Modern Contact Centers

At the core of today’s AI-based contact centers is a modular, cloud-native architecture. This typically consists of:

NLP and ASR engines (e.g., Google Dialogflow, AWS Lex, OpenAI Whisper)

Real-time data pipelines for event streaming (e.g., Apache Kafka, Amazon Kinesis)

Machine Learning Models for intent classification, sentiment analysis, and next-best-action

RPA (Robotic Process Automation) for back-office task automation

CDP/CRM Integration to access customer profiles and journey data

Omnichannel orchestration layer that ensures consistent CX across chat, voice, email, and social

These components are containerized (via Kubernetes) and deployed via CI/CD pipelines, enabling rapid iteration and scalability.

2. Conversational AI and Natural Language Understanding

The most visible face of AI in contact centers is the conversational interface—delivered via AI-powered voice bots and chatbots.

Key Technologies:

Automatic Speech Recognition (ASR): Converts spoken input to text in real time. Example: OpenAI Whisper, Deepgram, Google Cloud Speech-to-Text.

Natural Language Understanding (NLU): Determines intent and entities from user input. Typically fine-tuned BERT or LLaMA models power these layers.

Dialog Management: Manages context-aware conversations using finite state machines or transformer-based dialog engines.

Natural Language Generation (NLG): Generates dynamic responses based on context. GPT-based models (e.g., GPT-4) are increasingly embedded for open-ended interactions.

Architecture Snapshot:

plaintext

CopyEdit

Customer Input (Voice/Text)

       ↓

ASR Engine (if voice)

       ↓

NLU Engine → Intent Classification + Entity Recognition

       ↓

Dialog Manager → Context State

       ↓

NLG Engine → Response Generation

       ↓

Omnichannel Delivery Layer

These AI systems are often deployed on low-latency, edge-compute infrastructure to minimize delay and improve UX.

3. AI-Augmented Agent Assist

AI doesn’t only serve customers—it empowers human agents as well.

Features:

Real-Time Transcription: Streaming STT pipelines provide transcripts as the customer speaks.

Sentiment Analysis: Transformers and CNNs trained on customer service data flag negative sentiment or stress cues.

Contextual Suggestions: Based on historical data, ML models suggest actions or FAQ snippets.

Auto-Summarization: Post-call summaries are generated using abstractive summarization models (e.g., PEGASUS, BART).

Technical Workflow:

Voice input transcribed → parsed by NLP engine

Real-time context is compared with knowledge base (vector similarity via FAISS or Pinecone)

Agent UI receives predictive suggestions via API push

4. Intelligent Call Routing and Queuing

AI-based routing uses predictive analytics and reinforcement learning (RL) to dynamically assign incoming interactions.

Routing Criteria:

Customer intent + sentiment

Agent skill level and availability

Predicted handle time (via regression models)

Customer lifetime value (CLV)

Model Stack:

Intent Detection: Multi-label classifiers (e.g., fine-tuned RoBERTa)

Queue Prediction: Time-series forecasting (e.g., Prophet, LSTM)

RL-based Routing: Models trained via Q-learning or Proximal Policy Optimization (PPO) to optimize wait time vs. resolution rate

5. Knowledge Mining and Retrieval-Augmented Generation (RAG)

Large contact centers manage thousands of documents, SOPs, and product manuals. AI facilitates rapid knowledge access through:

Vector Embedding of documents (e.g., using OpenAI, Cohere, or Hugging Face models)

Retrieval-Augmented Generation (RAG): Combines dense retrieval with LLMs for grounded responses

Semantic Search: Replaces keyword-based search with intent-aware queries

This enables agents and bots to answer complex questions with dynamic, accurate information.

6. Customer Journey Analytics and Predictive Modeling

AI enables real-time customer journey mapping and predictive support.

Key ML Models:

Churn Prediction: Gradient Boosted Trees (XGBoost, LightGBM)

Propensity Modeling: Logistic regression and deep neural networks to predict upsell potential

Anomaly Detection: Autoencoders flag unusual user behavior or possible fraud

Streaming Frameworks:

Apache Kafka / Flink / Spark Streaming for ingesting and processing customer signals (page views, clicks, call events) in real time

These insights are visualized through BI dashboards or fed back into orchestration engines to trigger proactive interventions.

7. Automation & RPA Integration

Routine post-call processes like updating CRMs, issuing refunds, or sending emails are handled via AI + RPA integration.

Tools:

UiPath, Automation Anywhere, Microsoft Power Automate

Workflows triggered via APIs or event listeners (e.g., on call disposition)

AI models can determine intent, then trigger the appropriate bot to complete the action in backend systems (ERP, CRM, databases)

8. Security, Compliance, and Ethical AI

As AI handles more sensitive data, contact centers embed security at multiple levels:

Voice biometrics for authentication (e.g., Nuance, Pindrop)

PII Redaction via entity recognition models

Audit Trails of AI decisions for compliance (especially in finance/healthcare)

Bias Monitoring Pipelines to detect model drift or demographic skew

Data governance frameworks like ISO 27001, GDPR, and SOC 2 compliance are standard in enterprise AI deployments.

Final Thoughts

AI in 2025 has moved far beyond simple automation. It now orchestrates entire contact center ecosystems—powering conversational agents, augmenting human reps, automating back-office workflows, and delivering predictive intelligence in real time.

The technical stack is increasingly cloud-native, model-driven, and infused with real-time analytics. For engineering teams, the focus is now on building scalable, secure, and ethical AI infrastructures that deliver measurable impact across customer satisfaction, cost savings, and employee productivity.

As AI models continue to advance, contact centers will evolve into fully adaptive systems, capable of learning, optimizing, and personalizing in real time. The revolution is already here—and it's deeply technical.

[besttrading247]

Crypto Trading Strategies for Beginners: A Deadpool-Style Guide to Making Your Wallet Go Cha-Ching!

Crypto Trading Strategies for Beginners: A Deadpool-Style Guide to Making Your Wallet Go Cha-Ching! Hey there, future crypto mogul! So, you’ve decided to dip your toes into the wild world of cryptocurrency trading, huh? Well, buckle up, buttercup! We’re about to embark on a thrilling ride filled with charts, coins, and maybe a few bad puns along the way. Let’s dive into some killer crypto…

[enterprise-cloud-services]

Uncover AI Solutions For Sustainable Energy. See How AI Enhances Renewable Resource Use, Lowers Carbon Emissions, And Promotes Global Sustainability.

[alexanderwales]

In the horrible AI future, they have all your data, and someone decided "hey, we can use this data to make predictions, no, declarations! why do we have this thing called marriage that can mean so many things, why is there this bright line that two people must decide upon that works differently for different people?"

The AI was supposed to be better than humans at knowing what labels to put on things. That was how it had started, after all, distinguishing cats from dogs. But there were some things that just didn't have natural labels, that weren't like looking at an X-ray and saying whether or not a mass was cancer. Some things were more nebulous, like whether a piece of music belonged to a specific subgenre.

Turns out, people found this socially useful, to be able to tell whether someone was a friend or just an acquaintance, or maybe, as with a lot of AI, it was just faster and cheaper, readily accessible, if not actually better in any way. It was pretty accurate though.

And once the AI was doing everything, why did you need strict binary labels? Why not just make it a spectrum, which represented reality better? Why not do some factor analysis on friendships and break them up into different categories, which got even closer to reality? If the AI was doing everything, harvesting your omnidata, why not get some numbers out of it?

So Jessica from work was a 6.3 friend, but most of that was in the factor labeled "propinquity", which meant that probably you were only friends because you spent a lot of time at work together.

Robert was a 7.2 friend you didn't see too much, but he was high on the factor they called "effort", someone who was probably friends with you because they were putting effort into being friends with you, for whatever reason. Sometimes that was good, sometimes it was bad, but Robert was just like that, a guy who put a lot of effort into being friends with a lot of people.

There was a factor they kept renaming, either "romance" or "attraction" or something, but mostly called "fuck factor" or "fack factor" to dodge the censor penalties. It was just about whether one of you wanted to fuck the other. Lots of fights happened because of that one.

Everything started shifting from concrete labels to sliding numeric scales, and at some point, marriage stopped being a thing, there were just benefits to being in a long-term committed relationship, because the government had decided that was a good thing in general. And of course, the AI was the one deciding on your numeric score, so you could look up "how married" you were, and so the automatic tax and benefit adjustments could use that number.

Some people tracked the numbers closely, which was a problem. A man might ask his wife why their marriage score was down by 0.1, did something happen? And he'd try to use a neutral, curious tone, because an accusatory tone might make the score drop lower. Some people had marriages that were at least partly a performance for the AI, for the tax benefits, trying to get as high a score as possible to save a few thousand dollars. There were complaints about how the AI was determining things, but of course, it was all based on training, and you couldn't really say how the AI was making its decisions, you could only look at the AI's factor analysis and make some claims about what it thought was important and what wasn't.

People petitioned to change things, but we'd long since stopped voting on anything. Voting was another binary, and you could just have the AI make accurate guesses about probability mass of the whole population at any given time. Why hold a vote on election day when you could have a "vote" extracted from your omnidata every five minutes? Why have a set law when the law could respond to the will of the people, updated every week and implemented seamlessly?

And as the AI responded to the will of the people, the people also responded to the incentives structures of the AI, and society became liquid, a sloshing ocean where once there had been binaries and rules.

[public-cloud-computing]

Unlock the potential of generative AI in business intelligence. Discover how it’s reshaping forecasting and planning for smarter insights.

[aihoshiino]

chapter 165 thoughts

Aqua Hoshigan Status: It's Officially Hoshinover

Chapters Until The Story Ends Without The 143 Kiss Being Addressed Or Acknowledged: 1

damn i guess they really did just kill his ass

I'm gonna be so real with you gamers, I kind of don't have a lot to say about this one either lol. Which I acknowledge sounds completely wild given the Everything that happens in it, but most of my meat and potatoes analysis in these reviews comes from breaking down characterization and we're flying through everything at such breakneck pace that we're barely getting any characterization.

It continues to drive me bugfuck insane that Ai is completely absent from this finale despite the importance of 15 Year Lie. Its imagery is plastered all over but whenever we return to it, we just see Aqua. Not only that, but Gotanda is the one who insists on pushing the movie through for Aqua. 15YL as a story about Ai's true self and her tragedy is now officially taking a backseat to being about Aqua's tragic death and legacy. It was already bad enough that we spent so much time in the Movie Arc not actually focusing on Ai to the extent that, as everyone pointed out, based on what we saw on-page it was basically a Sad Kamiki Movie, but this really is just pissing right in the wound at this point lmao.

The funeral scene also serves as the final nail in the coffin for any Secretly Alive Aqua copes, which is kind of a relief. I still don't like how Aqua's death played out, but I think dragging it out for four chapters then going "sorry you thought i was /srs when i was just /jk" would have been infinitely more insulting. I don't like this ending, but I can respect that Akasaka seems to be sticking to his guns on it, even if we still do have like a whole chapter left for him to whip around and go "I WAS /JK ALL ALONG!!!!" but I don't see it happening.

Anyway, yeah! The funeral! Uh. Is it gonna sound weird if I say I felt kind of like… grossed out reading this the first time? Like, I really don't know how else to explain the visceral "why the fuck is the author making me read this" reaction I had to it. I think it's just because Kana is so fucking distraught here and the drama is just so hammy and so over the top that it feels kind of… ech. I dunno. I just really didn't vibe.

It doesn't help that this is part of a much broader pattern in the back half of OnK of Aka getting us right up close into the gory details of a character's complete mental breakdown and suffering and then spend zero time or focus on their recovery. This happened with Ruby all over the Movie Arc and this many times and with this little runway to the end of the series, it just starts to feel exploitative, like a way to cheaply pull at our heartstrings without doing the work to build everyone back up after tearing them down.

also pre-emptively dreading all the fuel this is going to add to the fires of People Who Are Weird And Misogynistic About Kana but she could die saving innocent children from a burning building and people would find reasons to be shitty about her lmao

we really are not seeing ruby's reaction to finding out her brother was dead huh lol

I will say the one thing I didn't Actively Dislike about this chapter was Ruby, though. I was honestly starting to get pretty skeeved out with how many people were gleefully predicting or actively wishing for her immediate suicide purely for ship motivated reasons and I was also worrying that the story was going to pretend that Ruby doesn't like. Have a life and support system outside of Aqua. Yes, she should absolutely be affected by his death but this period of her shutting down only to drag herself back onto her feet that we seem to be getting feels way more in line with pre-Movie Arc flanderization Ruby and I'll take that W where I can get it.

god. I haven't even talked about Kamiki's supposed serial killer cult. I just don't have the strength. Like… that's self-evidently stupid, right? I don't need to explain to you why that's ridiculous and unbelievable? You don't need me to tell you why it's fucking crazy that we're getting this information about the alleged overarching antagonist of the series not only in the second-to-last chapter of the entire series but after he was already dead, right? We can just move on? Ok good. jesus christ.

FINAL CHAPTER NEXT WEEK…

[yuseirra]

Ch 160 ..let me jot down my stream of consciousness about what I feel, my reading comprehension skills can't be that bad, it'd help if I can sit down and think through a little more.

+ Okay, I'm complete! I understand things much better now!! Upon close examination, This chapter doesn't change anything so dramatically.

IT STILL DOES NOT ANSWER JUST WHAT THE DAD'S MOTIVES ARE, but... the conclusion I have after having reread it thoroughly??

It's that my interpretation of him as a mild guy still stands—it enhances it, even. He's still really kind, which is a pretty surprising conclusion compared to what I felt about it at first glance.

He's.. really kind and considerate. I'm serious. wow.

well, analysis/interpretation below!

I was spoiled about chapter way back sometime last Friday, right? and it was pretty accurate in sense, with it being just some bunch of sentences and that one really creepy panel.. it does help to see the actual art and the expressions that are associated with the dialogues.

Now that I sit down a bit, there are two different interpretations of the same story: Kamiki's testimonies on what's happened (I believe these are all truths. They perfectly match up with how I've interpreted his character all along.) and Aqua's takes on them.

I'm not reading things off the english version btw, so the dialogues may differ.

According to what Kamiki says,

-he considered Ryosuke and Nino as good people and as friends. But they approached him because they were obsessed with Ai, so he didn't know about their true colors.

-so he was able to talk about his breakup with her and talked about whether if he should visit her having children at the hospital where Gorou was. They went and killed Gorou, but Kamiki had no idea about that.

-on the day Ai died, he was still unsure about meeting her because he lacked the courage to see her face (god he's timid) so he asked Ryosuke to give her his bouquet on his behalf

I KEPT SAYING THIS GUY NEVER HAS IT IN HIM TO "SCARE AI!!!!!!!!!" HE LIED IN 154 OUT OF GUILT BECAUSE HE THOUGHT AI AND AQUA WANTED REVENGE ON HIM!!! SEE!!! I'VE BEEN!!! RIGHT!!!! I'VE BEEN!!!!!!!!!!

This was already in the leaks last Fri, I basically felt the same way about these back then

and I got every part of these right except for the part that Kamiki befriended them. I just couldn't picture the people who killed Ai or would actively go hunt their daughter down being his friend..

but seeing how.. much he seems to trust people, he used to be that way as a child, it actually all ties so nicely together.

I predicted that it was Nino and Ryosuke who went to the hospital and killed Gorou.

I predicted that Kamiki just wanted to send the bouquet to congratulate Ai but he couldn't go because he was nervous/sad from the phone call. I said that ever since I started drawing hikaai fanarts, you would have seen me going on and on about that, I drew them with this as the base!!!! The guy Ai chose wouldn't do such a thing as trying to get back at her!!! See??

I couldn't be more right!!! I am a prophet!! I should trust myself!!!! why am I so unsure of myself, really. I really, really did get everything right.

These must be all true. He's not lying about any of this. I've been analyzing this guy very very thoroughly so I know what I'm talking about.

I guess what's confused me was the latter bits, since Fri and even after I see the full images.

Kamiki smiles and says he never wanted to hurt anyone<this is really how I view him as well, this guy can't hurt people out of his own will...

However, Aqua dismisses Kamiki's statements as lies on the spot, and accuses him of having been unable to protect his own daughter. That he's been intentionally manipulated people to get what he wants. That would involve him causing people to kill each other without dirtying his hands.

Upon hearing Aqua stating "You wanted to kill your own daughter", Kamiki makes this really eerie smile (I kind of wish this is redrawn hshsh.. it looks like he's a demon spawn from hell, but this could REALLY be him being distressed yet AGAIN. this guy SMILES when he's that way. That's his coping mechanism. It's kind of hard to stare at that expression but that smile certainly ISN'T a happy one like the one we saw in 159. This is a really confusing habit he has. People are going to take him the wrong way but; sadly, it's become a habit of his...)

The scenes then shifts to visions of him manipulating nino and Ryosuke into doing what they've done with a smile. If this is really what's happened, then he IS someone pretty evil-

but now that I read it over I think that's just based on Aqua's interpretations about the guy.

Is what's being portrayed in those pages ACTUALLY how he is? Just yesterday, I theorized that Kamiki loves his children and has been doing whatever he's been doing for his children. I did have my reasons for making that claim.

We still don't know what his motives are!! Aqua doesn't state anything about why Kamiki would do such a thing if he's done so. Does he know anything about this??? Just what reason would make it.. enough to have someone kill the love of their life and their very daughter? What good would it do for Kamiki? For one thing, does he have ANY good reason to kill Ai at all? For having felt betrayed?? Then why wait out that long????? Killing their daughter? After having her live for, how long now? how old are they now? 15?? 16? Why now? Why would he??

The important thing would be just WHY he'd be doing all those things if he's really been so, so WHAT IS IT AQUA?? WHAT??

Forgot to mention this but in the beginning of the chapter, we have kamiki saying, Hm, but what did I do? Did I "stab someone?" did I "push someone off a cliff?" I never "did" "anything".

Then we have Nino going "Kamiki-san didn't do anything. He just talked about Ai. He talked about her so we(her and Ryosuke) wouldn't forget about her. That was enough to make us break."

OH come on. COME ON. HUH. I feel like he's never told them anything bad about Ai, he probably let out how much he loved and misses her, because he thought they were her fan and coworkers as a fellow member, I bet he was happy to befriend people who knew about Ai because they share a common interest together. With it being his favorite person in the world even while he was dumped.

What a stupid reason, Nino. You brought everything upon yourself. I can see that now.

I do think.. kamiki has some sort of power that causes people to grow insane or act out, that could have had some influence on ryosuke and nino in a way...

but again, why would he try to kill his lover and his daughter even if he can use it with his own accord??? Even if he's using those powers now?? Would he use it to do those respective things?

Even if he has those, that shouldn't be all there is to it. According to Kamiki, they were already obsessed with Ai when they approached him and YEAH! Makes sense?? They came to him first, probably already aware that he was Ai's lover?? He isn't responsible for them hoarding those kinds of feelings!!

Coming to think of it, I find it really strange that he still hung with nino being the complete wreck she is. Oh wait, I guess he still could. Ryosuke killed Ai and Nino doesn't seem to have played a part with that. Nino was there with Ryosuke when Gorou died but she's not the one who's pushed him off a cliff. Ryosuke's the really...horrible one. He had a pretty gf like nino JUST WHY. Then again, nino was obsessed w Ai too so they were a match. I guess Kamiki hanged with Nino thinking she's just another victim who wants Ai back or whatever. He still hangs with her when she says that are super creepy like she can't forgive Ruby if she surpasses Ai though.. Perhaps he's really bad at letting people go.. OH, YEAH. He was always pretty attached to people as a child. Okay, I got that part cleared up on my own. Stream of consciousness is like this. It can happen.

Continuing on!! Aqua says Kamiki is a "despicable, selfish liar, worse than a murderer". Even Kamiki can't smile hearing that. If he ISN'T one, then that'd hurt.

Well, he responds again, saying:

"Ah, yes. You're the same way as I am. You share those same eyes I have. The type of eyes that grant the power to persuade others into believing you. The eyes that grant you charisma, befitting that of a star." Then we see a panel with Ai, "The eyes of liars, that fool, and make others submit to you"

he must be thinking of what Ai's told him when she talked to him about having the same eyes. (CH 140)

"You've been inciting people just like I have, right? Just how many people did you fool to fulfill your goal?"

"It must have felt good to use your talents to impact the lives of others, right?"

I'm not sure if this is a taunt/mockery or just him stating the facts as a liar/a black star user himself.

If he's thinking about Ai... then it can be the latter. She approached him saying "they are the same". He could be thinking about that.

Actually, he's strangely calm. His emotions are a bit hard to read on this one, I'd say it actually feels collected compared to what he's heard.

This could actually be sympathy or empathy...

I didn't take it that way when I first encountered it, so I felt.. Kamiki could be lashing out a bit but no. That doesn't seem to be it.

Hey, he really never gets angry. He actually looks a bit sad depending on how you look at it, I think he may be feeling a sense of guilt in that particular panel where he says "Just how many people did you fool to fulfill your goal?", the one where he glances down,

just like how he talked to Aqua in 152, "It's a lie, isn't it? it's because they're important that you keep your distance from them. why would you go that far to bottle yourself up?"

This guy understands his son really well. In fact, I think he may be trying to say, "we're the same=I understand the way you are, we're on the same track" the way Ai's done for him. That's what was his salvation.

Aqua does not take this well.

He says yeah, we're both terrible beings, but Ruby is "different".

Oh, and the rest.. what's stood out to me is the panel where Aqua goes,

"sending love to the one who desires for love" as he describes what Ruby is doing. Kamiki shows up in that panel.. This is what Ai wanted to do for him.

and there's a panel that comes up that shows Ai with the twins that follows right after saying:

"it's the eyes of the one who desires to love someone"

This is really sad. I think that page actually indicates Ai desired to love him while he desired to be loved from Ai. That happened both ways. It was a nice page.

Yeah, and Aqua points his knife to his dad like a toy gun saying

"You must disappear right here and now, for Ruby's sake."

I don't think Aqua's actually up to stabbing him, actually? If he's pointing the knife at him like that, I think it's more like he's warning him to stay out of their way forever, scram, or just go die off on his own.

Both of his eyes are white, he's not going to kill him with his own hands, rather, he's going to make him go away.

So I don't think next chapter would start on a fierce note? Kamiki does not seem like a guy that gets agitated so easily. He STILL never once got angry in this chapter as well. He's still pretty sweet to his son. I'm not being biased on this, the way he talks has always been really soft. If this were to be an anime, you'd hear how he'd talk and see whether if he has thorns in them but I don't think it's that way at least, I think he's trying to be understanding??

This guy is soft. He will not put up a fight. I don't know, he may jump off that bridge and try to die maybe. If that's what his son wants? Move out of the way? He doesn't seem.. angry about it all. He's not even protesting.

In the end, the only thing that got proven in this chapter was that Kamiki DID NOT DO ANYTHING IN A PHYSICAL SENSE, AND HE DIDN'T TRY TO SCARE AI.

the fact about him manipulating people and lying to get his way, I think there's low chance of it being applied for Ruby and Ai's case.

I think he really didn't have a clue Nino would attack Ruby? If he's considered her as a friend?

what are the basis of Aqua picturing him that way? He must really hate his dad. There is no way he could have seen such things happen. Unless Tsukuyomi told him about it?? there is no proof that it's what's actually been taken place. Kamiki could have incited people, or influenced others, yeah, but I don't think he did anything to Ai or his daughter. Again, I think he loves his family. Why wouldn't he??

Until things get cleared up more, I???? I ACTUALLY?? think Kamiki's taking it in a really calm manner despite all the things he's being accused of??

This is very long, but that is all for now!!

Oh, this was worth revisiting and analyzing. There's a lot more I see when I scrutinize it like this!!

[arizona-green-tea-absolutist]

You know, ai based analysis techniques would actually be really good for local weather forecasting. The more data you give it, the better it can predict things; we could probably have pretty accurate weather estimates a month out

Unfortunately, it would probably be subject to politics the same way they think there are problems with ai processing that lets it accurately estimate ethnicity and sex based on xrays of bodyparts, so you'd get all sorts of hogwash jammed in it and no inputs from solar activity or forecasts

I hate the future, man, this is so gay

[materialsscienceandengineering]

AI predicts the precursor materials needed for material synthesis

Researchers in Korea have developed a technology that automatically identifies the necessary precursor materials to synthesize specific target materials. A joint research team led by Senior Researcher Gyoung S. Na from the Korea Research Institute of Chemical Technology (KRICT) and Professor Chanyoung Park from the Korea Advanced Institute of Science and Technology (KAIST) has developed an AI-based retrosynthesis methodology that predicts the required precursor materials solely based on the chemical formula of the target material without expensive material descriptors and chemical analysis. Precursor materials refer to all essential materials required in the synthesis process of the desired target material.

Read more.

[mariacallous]

Christopher Ren does a solid Elon Musk impression.

Ren is a product manager at Reality Defender, a company that makes tools to combat AI disinformation. During a video call last week, I watched him use some viral GitHub code and a single photo to generate a simplistic deepfake of Elon Musk that maps onto his own face. This digital impersonation was to demonstrate how the startup’s new AI detection tool could work. As Ren masqueraded as Musk on our video chat, still frames from the call were actively sent over to Reality Defender’s custom model for analysis, and the company’s widget on the screen alerted me to the fact that I was likely looking at an AI-generated deepfake and not the real Elon.

Sure, I never really thought we were on a video call with Musk, and the demonstration was built specifically to make Reality Defender's early-stage tech look impressive, but the problem is entirely genuine. Real-time video deepfakes are a growing threat for governments, businesses, and individuals. Recently, the chairman of the US Senate Committee on Foreign Relations mistakenly took a video call with someone pretending to be a Ukrainian official. An international engineering company lost millions of dollars earlier in 2024 when one employee was tricked by a deepfake video call. Also, romance scams targeting everyday individuals have employed similar techniques.

“It's probably only a matter of months before we're going to start seeing an explosion of deepfake video, face-to-face fraud,” says Ben Colman, CEO and cofounder at Reality Defender. When it comes to video calls, especially in high-stakes situations, seeing should not be believing.

The startup is laser-focused on partnering with business and government clients to help thwart AI-powered deepfakes. Even with this core mission, Colman doesn’t want his company to be seen as more broadly standing against artificial intelligence developments. “We're very pro-AI,” he says. “We think that 99.999 percent of use cases are transformational—for medicine, for productivity, for creativity—but in these kinds of very, very small edge cases the risks are disproportionately bad.”

Reality Defender’s plan for the real-time detector is to start with a plug-in for Zoom that can make active predictions about whether others on a video call are real or AI-powered impersonations. The company is currently working on benchmarking the tool to determine how accurately it discerns real video participants from fake ones. Unfortunately, it’s not something you’ll likely be able to try out soon. The new software feature will only be available in beta for some of the startup’s clients.

This announcement is not the first time a tech company has shared plans to help spot real-time deepfakes. In 2022, Intel debuted its FakeCatcher tool for deepfake detection. The FakeCatcher is designed to analyze changes in a face’s blood flow to determine whether a video participant is real. Intel’s tool is also not publicly available.

Academic researchers are also looking into different approaches to address this specific kind of deepfake threat. “These systems are becoming so sophisticated to create deepfakes. We need even less data now,” says Govind Mittal, a computer science PhD candidate at New York University. “If I have 10 pictures of me on Instagram, somebody can take that. They can target normal people.”

Real-time deepfakes are no longer limited to billionaires, public figures, or those who have extensive online presences. Mittal’s research at NYU, with professors Chinmay Hegde and Nasir Memon, proposes a potential challenge-based approach to blocking AI-bots from video calls, where participants would have to pass a kind of video CAPTCHA test before joining.

As Reality Defender works to improve the detection accuracy of its models, Colman says that access to more data is a critical challenge to overcome—a common refrain from the current batch of AI-focused startups. He’s hopeful more partnerships will fill in these gaps, and without specifics, hints at multiple new deals likely coming next year. After ElevenLabs was tied to a deepfake voice call of US president Joe Biden, the AI-audio startup struck a deal with Reality Defender to mitigate potential misuse.

What can you do right now to protect yourself from video call scams? Just like WIRED’s core advice about avoiding fraud from AI voice calls, not getting cocky about whether you can spot video deepfakes is critical to avoid being scammed. The technology in this space continues to evolve rapidly, and any telltale signs you rely on now to spot AI deepfakes may not be as dependable with the next upgrades to underlying models.

“We don't ask my 80-year-old mother to flag ransomware in an email,” says Colman. “Because she's not a computer science expert.” In the future, it’s possible real-time video authentication, if AI detection continues to improve and shows to be reliably accurate, will be as taken for granted as that malware scanner quietly humming along in the background of your email inbox.

[imagitory]

@andrewmoocow Personally I find them to be misguided. There is a very well-done analysis video I've cited before that talks about the animation and why it ends up looking like AI, and I think it really addresses this argument better than I could --

-- but TL;DR, the animation looks "fake" largely because of stylistic decisions (l.e. turning off motion blur with the thought it would look "more like 2D") that weren't well thought-out. And I actually think the film's writing issues run into the same problem.

Because here's the thing -- writing high fantasy is not as easy as it looks. I can testify to this because I myself am writing a draft for a high fantasy novel right now.

All these years, Disney has been in an advantageous position with their animated films largely being adaptations of previous works, since they're already given a lot of the parameters a writer needs to build a world, plot, and characters. In a Snow White adaptation, for instance, you need a vain queen, an innocent princess, a prince, seven dwarfs, a magic mirror, and a poisoned apple, as well as a fairy tale world where these things fit comfortably. And since so much mainstream fantasy is largely inspired by medieval Europe, that aesthetic remains very familiar with audiences to the point that you need a lot less explanation for things. We don't really need an explanation for the political landscape of Cinderella because we see "fairy tale kingdom" and immediately know it's an absolute monarchy led by generally amiable rulers. We're not surprised when fairies appear in Sleeping Beauty, or when a magical sword predicts who should be king in The Sword in the Stone, or when Tiana and Naveen are turned into frogs in The Princess and the Frog, or when trolls appear in Frozen -- all of these magical conventions fit within the usual fantasy aesthetic and really don't need any explanation or backstory. I'd hazard to say that most people -- aside from those nitpicky critic types who get all hung up on how many servants are in Beast's castle just because they saw a bunch of extra silverware in the Be Our Guest sequence -- just don't bother questioning these things. And the original material also gives some shape and form to the adaptation's story, characters, and overall feel. It doesn't matter how close the finished product matches the original idea or even how familiar the audience is with that original material -- it still provides a jump-off point and sense of focus for the writer(s), the same way fanfiction (even an AU fanfic) can, in contrast to original content.

All right, well, what about those Disney projects that aren't fantasy? Well, in the case of stories like Treasure Planet, Robin Hood, and Mulan, they're still based off preexisting properties that people will find familiar enough that the writers can focus more on the adaptation's unique additions and not focus on detailed backstories and explanations about how the world and societies depicted in the story work. It's a lot easier to just focus on the fantastical elements like the space tech, talking animals, or Mushu and the ancestors if the rest of the story and cast are relatively easy to understand. Even in the case of original stories like The Lion King (which admittedly was largely inspired by Shakespeare's Hamlet, but I digress), Lilo and Stitch, and Lady and the Tramp, they still exist in a non-magical world that closely resembles ours, with only superficial changes like animals being able to talk or the existence of aliens. Even quasi-historical settings like The Great Mouse Detective and Atlantis: The Lost Empire look enough like our real-world equivalent that their settings are largely recognizable to us.

In just about all Disney animated films, the screenwriters didn't have to world-build that much. They didn't have to put the character development and plot on hold to explain the rules of the universe these stories take place in that often -- not unlike how writers like Rick Riordan didn't have to explain as much about the country his hero Percy Jackson lives in, because his books are an urban fantasy where our real world is just "plused up" with magical elements. We don't need to know if gravity works on the story's characters the way it does for us. We don't need to be told about the political landscape, history, or terrain of our location. We don't need to ask whether dying is something our characters can come back from.

Wish, on the other hand, is an original story in a high fantasy setting that doesn't resemble our world. People might try to claim it takes place in the Iberian Peninsula, but come on -- Rosas is a completely fictional country in a world that has magic we don't know the rules of and countries that faintly resemble cultures from our world, but we don't know the histories of or how similar they actually are to their real-world inspiration. We also have a cast of characters we've never met in any other media and a story and messages that we know nothing about beforehand. This means that we have no preexisting framework going in for what's possible and impossible in this world; no frame of reference about who these characters are and what their histories are; and no parameters that the plot, characters, and themes must fit inside, whether based on the fantastical story being adapted or a real-world setting that's a lot like ours. And I don't think that Disney really thought through just how challenging it can sometimes be to tell this kind of a story without stuffing the script with a lot of "tell" and not "show," which, as just about any film person can tell you, is the exact opposite of what you generally want. In film scripts, you want to show your audience a lot more than you tell them -- this not only takes full advantage of the visual medium and communicates your point in a much more natural and artistic way, but it also lets your audience think for itself and come to its own conclusions.

Now of course, can you write a high fantasy original story that's easy to follow and evokes a lot of emotion in your audience? Of course! But it does take time and a lot of careful and creative world-building. J.R.R. Tolkien was the king of such things. George R. R. Martin has done it. Neil Gaiman has done it. Ursula K. Le Guin has done it. Even the writer of the Nimona graphic novel, ND Stevenson, did a good job of it! But I think it's quite clear that Wish's script was not in the works that long -- development of the original idea started back in 2018, yes, but it wasn't until January 2022 that it was announced Jennifer Lee was writing it and Julia Michaels was brought on to write the songs, so the film's current trajectory likely wasn't pinpointed until then. And if the film was released in November 2023, then that means Wish's script was finished in under two years. Although there are successful Disney scripts that I daresay needed only that much time (Frozen, for instance, was quite rushed, by all accounts), once again, those scripts were done for stories with some sort of preexisting framework that allowed the writers to skip explaining certain visual or contextual short-hand in favor of focusing on their own creative flourishes in character and story. They were written with a tighter focus on the plot and its players without the need to build a complete stage under them.

The reason some people want to cry "AI!" when they look at Wish's writing is that they're looking at a script that makes the rookie writing mistake of exposition-dumping in an attempt to make its audience care, rather than evoking emotion. That kind of exposition-dumping is something that most novelists usually have to trim and rewrite in future drafts of their work: it's a mistake done while the writer is trying to world-build enough that their audience understands all of these original rules, societies, locations, and characters they're not familiar with. This exposition is then often trimmed down before publishing, and when adapted for the screen it's often trimmed even further or even completely rewritten, in favor of more visual methods of conveying the same information. The Wonderful Wizard of Oz writes about Dorothy traveling down the Yellow Brick Road and about the long journey that takes her and her friends through a lot of side adventures on their way to the Emerald City: it's the famous film adaptation that cuts out the Kalidahs and puts the whole trip to jaunty music for the characters to sing and dance to. Wish could've communicated to us the importance of the wishes to their owners through more visual means, but instead feels the need to reiterate this idea over and over through written dialogue. And again, this is a common mistake by writers when they're inexperienced in creating completely original content, as opposed to spin-offs, sequels, or adaptations of other people's work.

AI writing is generally known for repetitive phrasing and sentence structure, lack of accuracy, and lack of a personal touch. As much as I'll agree that there are a lot of character and world-building choices in Wish that don't make sense, I don't think that's the same thing. There clearly was a story someone (or multiple people) wanted to tell about a person hoarding the precious ideas of other people away, even if it means those ideas can never be shared with the world -- it just wasn't a story that ended up being told that well. And I think this is why Wish is almost worth seeing -- it serves as a good example of why certain writing decisions work better than others and how writing for fantasy projects and/or "family entertainment" is an art form that's worthy of respect when it's done right.

To sum up my stance on the matter -- I think Disney just bit off way more than it could chew and then didn't give its writers enough time to properly digest it.

[sageofsunbloom]

Is AI fr gonna steal our jobs?

Disclaimer: This post is mostly speculative and meant to encourage discussion and different perspectives on the topic.

Some time ago, I along with many others thought that AI was mostly going to aid in all the task centered, administrative, repetitive jobs. Cashiers, factory workers, call center workers, all the jobs that would benefit from automation were being taken over by AI.

When the ghibli trend came around, it was a guttural shock to many artists.

What used to generate questionable and bad looking art has now developed and is transitioning to generating high quality pieces, videos, music, animation and what not. In a matter of mere months. [AI tools example: midjourney, DALL-E, ChatGPT]

Art is not simply something pretty to look at. It is the accumulation of experiences, emotions and essense of humans. Art is their unique expression and the lens with which they see the world.

This blog is not an argument against the use of AI for art, but a call to understand what it really means.

Did most people see it coming when AI mimicked it with precision?

How long before it starts mimicking creativity, intuition, emotion and depth, all of what we thought was deeply and uniquely human?

"AI works by learning from lots of information, recognizing patterns, and using that knowledge to make decisions or do tasks like a human would." - Chatgpt.

Some time ago, the dominant argument was that AI might be able copy the strokes of a painting, the words of a novel. But it cannot hold the hands of another human and tell them all was well, it cannot feel and experience the real world like us, it cannot connect with humans and it cant innovate and envision new solutions.

If you still believe this, I urge you to go to chatgpt right now and open up to it like it was your friend. It will provide consolidation and advice tailored so well to your individual behaviours that it might feel better than talking to your bestfriend.

What is a deep neurological, experience based and emotional reaction to us is simply just analysis and application of data and patterns to AI. And the difference? Not easily distinguishable to the average human.

As long as the end result is not compromised, it doesnt matter to client and employers whether the process was human or not. Efficiency is often prioritized above substance. And now even substance is being mimicked.

Currently, the prominent discussion online is that in order to improve your job security, we need to master AI tools. Instead of fighting for stability(which is nothing but an illusion now) we need to ride the waves of the new age flooding towards us, and work with Ai instead of fighting against the change.

But the paradox is, the more we use AI the quicker it will learn from us, the quicker it will reduce the need for human guidance and supervision, and the quicker it will replace us.

Times are moving fast. We need everyone to be aware of the rate at which the world is changing and the things that are going on beneath the surface. If we simply take information at face value and avoid research, give it a few years or even months of time, and noone will know what hit us.

"Use of generative AI increased from 33% in 2023 to 71% in 2024. Use of AI by business function for the latest data varied from 36% in IT to 12% in manufacturing. Use of gen AI by business function for the latest data varied from 42% in marketing and sales to 5% in manufacturing."-Mckinsey, Mar 12, 2025.

By 2030, 14% of employees will have been forced to change their career because of- AI-McKinsey.

Since 2000, automation has resulted in 1.7 million manufacturing jobs being lost -BuiltIn

There is a radical change taking momentum right now. It's gonna be humans vs AI starting from the job aspect of the world.

Its not a matter of which jobs and skills are AI proof but which ones is AI likely to take over last.

What I predict personally, is that soon the world leaders are going to have to make a transformative choice.

This can either lead to a world where humans can be provided with money and resources instead of working to earn, as AI generates profit, and we can lay back and enjoy the things we love doing.

Or the other option is that we are going to have to live by scraps as small elite groups take over all the resources and tech.

Dystopia or utopia? The line is blurred.

Thankfully, for now, the choice is in human hands.

[redge]

I've been meaning to write my final 【推しの子】 prediction/analysis since we're four chapters away from end game. I only got one correct prediction the first time I did it haha but, I don't know, I just feel like Akasaka-sensei is playing with our heads right now so here goes.

!! DO NOT read on if you're not keeping up with the manga !!

If you're reading the manga right now, it feels like Hikaru Kamiki is really that bad assh*ole antagonist who has been the man behind all these chaos but you know what? I feel like Hikaru is just pulling off a Lelouch Lamperouge right now.

I mean, Lelouch's lie was only revealed until the last episode of the final season. And we still don't have the reason behind this 【推しの子】 title style, and we only got the 【actor】 edition of those interviews done in the first few chapters of the manga. So I still believe that 【推しの子】 is a documentary about Ruby as an idol with interviews done in different occasions all filmed by Hikaru Kamiki. I am quite conflicted whether it would be about Ruby or Ai though. The only reason I think it's more about Ruby than Ai is because Ai's interview was 【mother】 edition and Ruby was simply, the 【idol】 edition.

Besides, I don't think what Hikaru meant on this was to harm their children, right?

Also, what of chapter 154-155 if Hikaru would just go down the hill like that? So maybe Ai is a liar, but Hikaru Kamiki is the biggest liar of them all. And remember this lyrics from Mephisto? "This lie is love."

Still basing off on these interviews, I think Kana and Aqua will still get along despite the manga projecting that Aqua missed Kana's graduation concert. Kana's interview is 【actress】 edition so I think it was done after Kana graduated as an idol. In that interview, Kana still calls Aqua "A-kun" so I guess that's a sign that these two will still get along. How good are they getting along? That we wouldn't know until the end of the story.

I hope Akasaka-sensei would give us character conclusion for everyone.

[krunal-vyas]

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3) Overcoming Language and Cultural Barriers:

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Outline essential technical skills, experience levels, and project expectations to streamline recruitment.

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Leverage best AI hiring platforms like LinkedIn Talent Insightsand HireVue to source top developers.

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Remote work management tools like Trello, Asana, and Jira enhance productivity and ensure smooth collaboration.

Top AI-Powered Hiring Tools for Businesses

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X0PA AI — AI-driven talent acquisition platform

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1. Establish Clear Communication Channels:

Use collaboration tools like Slack, Microsoft Teams, and Zoom for seamless communication.

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Provide access to AI-driven learning platforms like Coursera and Udemy to keep developers updated on industry trends.

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Organize virtual team-building activities to enhance collaboration and engagement.

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1) AI-Driven Automation for Faster Hiring:

AI will continue automating tedious recruitment tasks, improving efficiency and candidate experience.

2) AI and Blockchain for Transparent Recruitment:

Integrating AI with blockchain will enhance candidate verification and data security for trustworthy hiring processes.

3) AI’s Role in Enhancing Remote Work Efficiency:

AI-powered analytics and automation will further improve productivity within offshore development teams.

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AI revolutionizes the hiring of dedicated developers in India by automating candidate screening, coding assessments, and interview analysis. Businesses can leverage AI-powered tools to efficiently find, evaluate, and manage top-tier offshore developers, ensuring cost-effective and high-quality software development outsourcing.

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[skibasyndrome]

Hey, I loved you your how to spot ai but isn't an ai scanner ai in itself, genuine question?

Hey! I'm glad you liked the post! 💜

Okay, again, far from an expert, but from what I understand they're both based on the same technology, that's LLMs or large language models. But that in itself is also used for a lot of other purposes aside from generative AI. There's this whole field of literary studies, the digital humanities, who use these types of models to do research on literary texts at a larger scale than would generally be possible in the traditional way of one person reading x texts to do some sort of scientific analysis. If my colleagues were reading this now they'd probably have a lot smarter things to say sjdndjjdd but this sadly isn't something I deal with a lot, so that's all I know.

But, yeah, so, same models/databases, but the difference is, that things like chatgpt are generative AI, emphasis on the part where they generate supposedly new texts. That's the part that, from a purely artistic or... idk... in an academic sense work-ethic point of view concerns me. I often use AI as a shorthand for generative AI when I rant, and that's definitely on me.

Like the generative modells the scanners work based on linguistic predictability, but where generative AI would go "what is the most likely way to give an answer to this prompt that makes sense" the scanners turn this around and search for markers of that same predictability. They don't produce any text while doing so, just like many of the digital humanities tools that are used in literary research. I don't have a strong stance on those in themselves, from what I've heard they can be useful for certain research questions and there are good uses for them, but yeah. What I do have a strongly negative stance on is the generative side of things, for all kinds of reasons depending on use, but in this conversation specifically it's the lack of artistic integrity and the fuck you to the rest of the community.

So... yeah? The scanners are AI as well in that sense, they use the same base technology and also definitely aren't perfect, I hope I made that clear, but for me personally they definitely serve their purpose and don't come with the things that annoy me about generative AI.

If anyone who knows more about this wants to chime in please feel free!