#Machine Learning Based Solutions

[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.

[charterglobal]

Top Tech Stack for Machine Learning in 2025

Imagine a world where AI models train themselves faster, adapt in real-time, and integrate seamlessly with your business operations. This isn’t a distant future — it’s happening now, and the key lies in choosing the right machine learning tech stack. Whether it’s automating processes, personalizing customer experiences, or optimizing operations, ML is transforming industries across the board. But success in ML depends on more than just algorithms — it requires a well-optimized machine learning tech stack that balances performance, scalability, and efficiency. In 2025, advancements in machine learning frameworks, deep learning libraries, AI development tools, and cloud platforms for ML will play a pivotal role in accelerating AI adoption. Businesses that invest in the right technologies will gain a competitive edge, while those relying on outdated tools risk falling behind.

This guide explores the best machine learning tech stack for 2025, helping you understand the latest tools and their impact on your AI strategy.

Why the Right ML Tech Stack Matters for Businesses

Machine learning is no longer just a research-driven endeavor; it’s a critical business function. Companies across industries — healthcare, retail, finance, manufacturing, and more — are leveraging ML to drive efficiency, gain insights, and enhance customer experiences. However, selecting the right ML tech stack is crucial for success.

Challenges of an Inefficient ML Tech Stack

Many businesses struggle with:

Scalability Issues: As ML models grow in complexity, handling large datasets efficiently becomes a challenge.

Deployment Bottlenecks: Moving models from development to production is often time-consuming and resource-intensive.

Integration Complexities: AI models need to connect seamlessly with existing enterprise systems for real-time decision-making.

High Operational Costs: Cloud and compute resources can become expensive without an optimized infrastructure.

A well-planned machine learning tech stack helps businesses overcome these challenges, enabling faster model development, seamless deployment, and cost-efficient AI solutions.

Top Tech Stack for Machine Learning in 2025

1. Machine Learning Frameworks: The Foundation of AI Innovation

Machine learning frameworks provide the infrastructure for building and training AI models. In 2025, businesses will rely on these top frameworks:

TensorFlow 3.0

Google’s TensorFlow continues to lead with better GPU acceleration, lower memory consumption, and seamless integration with cloud platforms for ML. The 2025 version introduces TensorFlow Extended (TFX) for scalable ML pipelines, making it easier for enterprises to transition models from experimentation to production.

PyTorch 2.5

Favored for its dynamic computation graph and research-friendly environment, PyTorch’s 2025 update enhances multi-GPU training and introduces real-time AI model optimization. Businesses using computer vision, NLP, and autonomous AI systems will benefit from these improvements.

JAX: The Future of Large-Scale ML

Developed by Google, JAX is gaining popularity for its automatic differentiation and fast linear algebra capabilities. With deep integration into Google Cloud AI, JAX enables enterprises to train ML models at an unbelievable scale.

2. Deep Learning Libraries: Powering AI-Driven Applications

Deep learning libraries enhance model performance and enable businesses to build state-of-the-art AI applications.

Keras 4.0

Keras remains a user-friendly deep learning library, making model development accessible even to non-experts. Its 2025 update features automated hyperparameter tuning and multi-cloud deployment support.

Hugging Face Transformers

For NLP, speech AI, and sentiment analysis, Hugging Face provides pre-trained models that drastically reduce development time. The 2025 update focuses on low-latency inference, making it ideal for businesses deploying real-time AI solutions.

Fast.ai: Making Deep Learning Accessible

Fast.ai simplifies AI development with pre-built models and a high-level API. The 2025 version introduces enhanced support for distributed training and energy-efficient model training techniques.

3. Cloud Platforms for ML: Scaling AI with Ease

Cloud platforms are indispensable for handling large ML workloads, offering pre-configured environments for training, deployment, and monitoring.

Google Vertex AI

Vertex AI provides end-to-end ML operations (MLOps) with features like automated model retraining, bias detection, and real-time monitoring. Businesses using JAX and TensorFlow will benefit from its seamless integration.

AWS SageMaker

Amazon’s SageMaker streamlines ML workflows with one-click model deployment and real-time analytics. The 2025 update introduces serverless inference, reducing costs for AI-driven businesses.

Microsoft Azure Machine Learning

Azure ML provides no-code ML solutions, automated ML pipelines, and AI-powered code recommendations. It’s the ideal choice for enterprises already invested in Microsoft’s ecosystem.

4. AI Development Tools: Managing the ML Lifecycle

Beyond frameworks and cloud platforms, businesses need ML development tools to manage, optimize, and monitor their AI models.

MLflow: Version Control for ML Models

Mlflow Test provides model tracking, experiment logging, and cross-cloud compatibility, reducing vendor lock-in for enterprises.

DataRobot: No-Code AI for Business Users

DataRobot enables business users to build AI models without coding, accelerating AI adoption across non-technical teams.

Kubeflow: Kubernetes for ML

Kubeflow optimizes ML workflows by automating data preprocessing, model training, and inference across multi-cloud environments.

How to Choose the Best Machine Learning Tech Stack for Your Business

With so many options available, how do businesses select the right machine learning tech stack for 2025? Here are key considerations:

Define Your Business Goals

Are you focused on real-time AI, predictive analytics, or deep learning applications? Your ML tech stack should align with your objectives.

Evaluate Scalability

Ensure the stack supports growing datasets, increased model complexity, and multi-cloud deployments.

Assess Integration Capabilities

Your ML tools should integrate seamlessly with your existing enterprise systems, APIs, and cloud infrastructure.

Optimize for Cost and Performance

Balancing cloud spending, computational power, and operational efficiency is key to AI-driven business success.

Final Thoughts: Future-Proof Your AI Strategy with the Right ML Tech Stack

The right machine learning frameworks, AI development tools, deep learning libraries, and cloud platforms for ML can make or break your AI initiatives in 2025. As AI adoption accelerates, businesses must invest in scalable, cost-effective, and high-performance ML solutions to stay competitive.

At Charter Global, we specialize in AI-driven digital transformation, ML implementation, and cloud-based AI solutions. Our experts help businesses navigate complex AI landscapes, select the right tech stack, and optimize their ML models for efficiency and scalability.

Ready to future-proof your AI strategy? Contact us today!

Book a Consultation.

Or email us at info@charterglobal.com or call +1 770–326–9933.

[fincrif]

What Are the Benefits of AI-Based Personal Loan Underwriting?

Introduction

Artificial Intelligence (AI) is transforming the financial industry, particularly in the area of personal loan underwriting. Traditional loan approval processes often involve lengthy paperwork, manual verification, and human-driven risk assessment. However, AI-based underwriting has revolutionized personal loan processing by making it faster, more efficient, and more accurate.

By leveraging AI, lenders can assess borrowers in real time, minimize risks, and improve loan accessibility. In this article, we explore the key benefits of AI-based personal loan underwriting and how it is shaping the future of digital lending.

What Is AI-Based Personal Loan Underwriting?

AI-based personal loan underwriting uses machine learning algorithms, big data analytics, and automation to evaluate a borrower’s creditworthiness. Unlike traditional methods that rely solely on credit scores and income statements, AI underwriting considers multiple data points, offering a more comprehensive risk assessment.

How AI Enhances Loan Underwriting:

Real-Time Credit Scoring – AI analyzes financial behaviors beyond credit history.

Automated Document Verification – Reduces manual work and processing time.

Risk Prediction Models – Identifies potential defaults before they occur.

Bias-Free Decision-Making – Minimizes human biases in loan approvals.

Faster Loan Disbursement – AI accelerates the approval process, ensuring quicker fund access.

Key Benefits of AI-Based Personal Loan Underwriting

1. Faster Loan Approvals and Disbursement

Traditional personal loan applications can take days or weeks to process. AI speeds up underwriting by instantly analyzing borrower data, leading to:

Instant pre-approval decisions

Faster document verification

Reduced loan processing time from days to minutes

2. More Accurate Credit Assessment

AI considers alternative credit data, such as:

Spending habits

Employment history

Utility bill payments

Social media activity (in some cases)

This results in a more accurate evaluation of a borrower’s financial stability, enabling better lending decisions.

3. Lower Default Rates

AI-powered risk prediction models analyze borrower behavior patterns to detect potential loan defaults before they happen. This allows lenders to:

Adjust interest rates based on risk levels

Offer tailored repayment plans to reduce defaults

Proactively manage risky loans through early intervention

4. Improved Accessibility to Loans

Many borrowers with thin or no credit history struggle to get approved for a personal loan. AI underwriting expands loan accessibility by:

Assessing alternative credit data for first-time borrowers

Enabling financial inclusion for gig workers and self-employed individuals

Providing microloans and flexible lending options

5. Enhanced Fraud Detection and Security

AI-driven underwriting systems detect fraudulent applications by analyzing:

Identity inconsistencies in submitted documents

Behavioral fraud patterns

Transaction anomalies in real-time

This significantly reduces fraud risks, protecting both lenders and borrowers.

6. Bias-Free and Fair Lending Decisions

Traditional loan underwriting often involves human biases that may unfairly disadvantage certain applicants. AI eliminates this by:

Using data-driven decision-making

Ensuring fair evaluation of all borrowers

Providing equal opportunities for loan approval

7. Cost-Effective Loan Processing

By automating underwriting tasks, AI reduces the need for manual labor and operational costs. This allows lenders to:

Offer lower interest rates to borrowers

Reduce loan origination fees

Increase profit margins while maintaining affordability

8. Better Loan Customization and Personalization

AI enables lenders to provide personalized loan offers based on individual financial profiles. This includes:

Flexible loan repayment schedules

Customized interest rates based on financial behavior

Pre-approved loan options tailored to borrower needs

How AI-Based Underwriting Works in Personal Loan Processing

Data Collection – AI gathers borrower data from multiple sources, including banking records and alternative credit sources.

Credit Analysis – Machine learning models assess the borrower’s creditworthiness in real time.

Fraud Detection – AI checks for identity mismatches and suspicious activities.

Loan Decisioning – AI instantly approves, rejects, or suggests loan modifications.

Fund Disbursement – Once approved, funds are transferred to the borrower’s account almost immediately.

The Future of AI in Personal Loan Underwriting

As AI technology continues to evolve, the future of personal loan underwriting will witness more advancements, including:

AI-powered voice assistants for loan applications

Blockchain integration for enhanced security

Predictive analytics for proactive financial planning

AI-driven customer support for better borrower experience

Conclusion

AI-based personal loan underwriting is revolutionizing the lending industry by making loans more accessible, faster, and secure. With its ability to minimize fraud, reduce bias, and improve risk assessment, AI is creating a fairer and more efficient loan approval process.

As financial institutions continue to integrate AI into their underwriting systems, borrowers can expect a seamless, data-driven personal loan experience with lower costs and improved accessibility. Whether you’re a first-time borrower or someone with a complex financial history, AI is making it easier than ever to get the right loan at the right time.

[ajmishra]

Dominating the Market with Cloud Power

Explore how leveraging cloud technology can help businesses dominate the market. Learn how cloud power boosts scalability, reduces costs, enhances innovation, and provides a competitive edge in today's digital landscape. Visit now to read more: Dominating the Market with Cloud Power

[meelsport]

Exploring the Benefits of AI SEO Tools for Your Website

AI SEO tools are transforming the way we approach search engine optimization. In today’s fast-paced digital world, leveraging AI SEO tools can give your website a significant edge over the competition. These advanced tools use artificial intelligence to enhance various aspects of SEO, making it easier for your content to rank higher on search engine results pages (SERPs). Let’s dive into how AI…

[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.

[sigmasolveinc]

Everything you Need to Know About Enterprise AI

In the modern business landscape, organizations are increasingly turning to Artificial Intelligence (AI) to gain a competitive edge and enhance their operations. Enterprise AI refers to the deployment of AI technologies within the corporate realm to improve decision-making, streamline processes, and unlock new opportunities. This article delves into the key components of enterprise AI, explores the challenges organizations face, highlights a few use cases, and provides potential solutions. Components of Enterprise AI: 

Data:

At the core of enterprise AI is data. High-quality, structured, and diverse datasets are the foundation for training AI models. These data sources can include customer information, transaction records, market data, and even unstructured data like text and images. 

Algorithms: 

AI algorithms are the intelligence behind enterprise AI systems. They analyze data to identify patterns, make predictions, and automate tasks. Common AI techniques include machine learning solution, deep learning, natural language processing (NLP), and computer vision.

Computing Power: 

AI requires significant computing power for processing and training models. This is often achieved using powerful hardware, cloud-based solutions, or distributed computing frameworks like Hadoop.

Domain Expertise: 

Integrating domain expertise is crucial. Domain-specific knowledge allows AI models to understand and make informed decisions within the context of the business. 

User Interface:

A user-friendly interface allows non-technical users to interact with AI systems. Dashboards, chatbots, and voice assistants are common interfaces used in enterprise AI. 

Scalability and Flexibility: 

Enterprise AI systems need to scale to meet growing demands and adapt to changing business requirements. This often involves modular architecture and the use of containerization technologies like Docker. 

Challenges in Implementing Enterprise AI: 

Data Quality and Quantity: Ensuring data is accurate, complete, and representative can be a substantial challenge. Organizations may struggle to gather enough high-quality data for training AI models.

Data Privacy and Security: Storing and processing sensitive business data poses security risks. Adhering to data protection regulations such as GDPR and ensuring robust security measures is crucial.

Talent Shortage: The shortage of AI talent can make it difficult to recruit and retain skilled professionals who can develop and manage AI solutions.

Interoperability: Many organizations use a variety of legacy systems and applications. Integrating AI into these diverse environments can be complex and may require significant modifications.

Cost: Developing and maintaining AI systems can be expensive, from the cost of computing resources to hiring specialized personnel.

Ethical Considerations: The use of AI in the enterprise raises ethical concerns, especially in areas like bias in AI decision-making and the potential for job displacement.

Use Cases of Enterprise AI:

Enterprise AI, or artificial intelligence in the context of businesses and organizations, has a wide range of use cases across various industries and functions. Here are some common use cases of enterprise AI: 

Customer Service: Chatbots and virtual assistants powered by AI are used to provide 24/7 customer support, answer queries, and assist in issue resolution.

Predictive Maintenance: Industries such as manufacturing and utilities use AI to predict when equipment is likely to fail, enabling proactive maintenance.

Sales and Marketing: AI-driven analytics can provide insights into customer behavior, allowing for more targeted marketing campaigns and personalized product recommendations.

Supply Chain Optimization: AI can optimize inventory management, demand forecasting, and logistics, reducing costs and improving efficiency.

Financial Services: AI is used for fraud detection, risk assessment, and algorithmic trading in the financial industry.

Healthcare: Enterprise AI is employed for medical image analysis, patient data management, and drug discovery.

These are just a few examples of of artificial intelligence that help to improve efficiency, decision-making, and customer satisfaction in various business contexts. 

Solutions to Address Enterprise AI Challenges: 

Data Governance and Quality Control: Implement strong data governance practices, ensuring data is clean, accurate, and compliant with privacy regulations.

AI as a Service: Consider using AI platforms and solutions provided by cloud providers to reduce the cost and complexity of building and maintaining AI infrastructure.

Skill Development: Invest in training programs for existing employees or partner with educational institutions to develop a pipeline of AI talent.

Interoperability Solutions: Utilize API integration and middleware to connect AI systems with legacy applications and databases.

Cost Management: Carefully assess the ROI of AI initiatives and explore open-source AI frameworks and tools to reduce development costs.

Ethical AI Frameworks: Develop and adhere to ethical AI principles, including transparent decision-making processes and bias mitigation.

In conclusion, enterprise AI is a transformative force that has the potential to reshape the business landscape. By understanding its components, addressing the challenges it presents, and leveraging its diverse use cases, organizations can harness the power of AI to make informed decisions, enhance efficiency, and drive innovation. Organizations can now harness the power of enterprise AI to improve decision-making, streamline operations, and deliver better value to customers. To succeed in this rapidly evolving field, businesses must be adaptive, ethical, and forward-thinking in their approach to enterprise AI.

Original Source: Here

[cybtekk]

Artificial Intellligence & Machine Learning Solutions | AI/ML Services

As we step into a new era of AI/ML, businesses can unlock unprecedented advantages, leveraging the power of data-driven insights, automated processes, intelligent decision-making, and transformative innovation to gain a competitive edge and drive exponential growth.

[rodolfodavis]

Artificial Intelligence is a game changer in most aspects of our lives, including smartphones. Read on to learn how it is shaping these devices. Here is what you should know about the role of AI in the mobile industry. 

[notafunkiller]

she chose me

Summary: Steve's hopes get crushed when he wrongly assumes you'd choose him over Bucky.

Pairing: Bucky Barnes x agent!female reader

Warnings: 18+, no condom (but f is on birth control), teasing, pet names, jealousy, sergeant + sir + daddy kìnk, vibranium arm kìnk, language, degrading, praising, no mention of y/n etc.

Word Count: 6.9K

Bucky Barnes masterlist

A/N: I really hope you’ll enjoy it! This was inspired by the "She chose me." TikTok trend.

Please, do not repost or translate without my permission!

You’re all quiet, watching the back and forth between Cap and Bucky. Not even Sam intervenes.

“You didn’t-”

“This is just not gonna work, Buck.”

Bucky rolls his eyes, with an expression you like to describe as bitchy. He’s so sassy without even intending to, and you wonder how bitchier he’d be if this wasn’t his best friend talking.

“Let’s see if people agree.”

He looks around waving at you and the rest of the team while Sam just snorts, covering his mouth with his hand.

But you’re not amused because you have no idea how to handle this diplomatically.

“Whose side are you on?” Steve’s tone is deep and authoritative, making you feel a little uneasy.

You don’t know how to talk to Avengers sometimes. You are on friendly terms, even when you train. Sam always cracks jokes, Steve shares stories and gives advice, and Bucky is Bucky. Nat and Sam call him The Machine for a reason. But he’s a really good professor and an even better observer. He pays attention to every recruit and remembers what they need to work on. You find him extra intimidating because he’s also the most beautiful man you’ve ever seen. No exaggeration. And it’s not in the usual clean and golden boy way you are used to, anyway. He’s been through shit and it’s showing in the way he carries himself and doesn’t talk much when it’s not needed.

But you pay attention too, and this is why you think you were chosen to lead the recruits for this mission. You are on good terms with the Avengers, and Bucky probably approved the idea of working with you because you didn’t piss him off like most do. You know he hates chit chat, you learned how to read most of his stares and to not take it personally when he makes remarks about your fighting skills. They’re not your strongest asset, but you have a flair and you come up with the best solutions under pressure. You managed to pin him down once for a few seconds, and that is probably your greatest achievement.

But in moments like this, you don’t know how to say things without upsetting one side.

“You won’t get in trouble, don’t worry,” Bucky adds confidently. You’re not surprised when four out of your six colleagues agree with Bucky. They explain quickly why, emphasizing how much faster and efficient it would be if you followed that route, but their voices are still trembling. And you get it. Telling Captain America to his face you prefer his best friend’s plan over his will always be a risk. But if he gets mad, that says more about him as a leader than about anyone else.

Sam raises his hands in the air defensively, probably enjoying this as a show, but based on the looks he shares with Bucky, it seems like he agrees with him too.

You try to find your words, knowing you’re the last one from your team to speak, but before you can even open your mouth, Steve already smiles, pointing at you with his index finger. “Look at this, though! She agrees with me… She chose me.”

His grin is cold and a little arrogant. What you don’t notice, though, is the intention Steve had when he decided to use those exact words, but Bucky does. And he clenches his jaw at the same time his vibranium hand curls into a fist; a silent response to the not-so-innocent assumption that Steve made.

After a few seconds, Bucky leans in, his gaze steady and confident. “Did she?”

There is no way you would pick Steve’s plan. You are too smart and you have too much integrity to pick his side just to kiss his ass. He raises an eyebrow at you this time, a confident smirk forming on his lips. “Did you really choose him? You really think his plan would work better, doll?”

You feel surrounded by Bucky… attacked even. Your cheeks are getting hotter, too, and you know there is nothing you can do to hide your redness. Doll… He called you that when he turned you again on your back the day you managed to pin him down. It’s something about the way he says it that makes it absolutely deadly. Your first instinct was to be offended, but you reminded yourself he is a man born in 1917. He lived his twenties in the 40s, and doll was used as slang for sweetheart.

Taking a deep breath, you tilt your head slightly, directing your response to Steve. “It’s not about choosing sides, but considering all perspectives for the best outcome. And your plan, Captain, has its strengths, but I’m inclined to agree with Sergeant Bucky.” You bite your lip. “It’s about finding the most effective strategy for the mission, not a personal preference of any kind.”

Steve’s smile falls off, but your attention shifts back to Bucky’s grin that lightens up his face.

Fuck, fuck, fuck.

“Well, then,” Steve sighs. “Can I have a word with you in private?”

You don’t realize he’s speaking to you until he says your name.

Surprised, you jump. “Yes, of course.”

*

Steve leans back in his chair, a slight smile playing on his lips as you write down the last details. “You know, I value your insights on the mission.”

You look surprised because how can he value your opinion when this is your second mission only? He’s Captain America!

“Oh?”

“I trust your judgment, and your training is going great. If you and the team chose Bucky’s plan, then we do it.” You see his jaw clench, though, so you know it’s not easy for him to say it. Even if it’s his friend… interesting. “Maybe, when all is over, we could grab a cup of coffee and talk about other things. What do you think?”

You’re silent for a couple of seconds, trying to realize if he means it in the way you think he is. There is no way, right?

Just in case, you offer him a friendly smile, “Thanks, Cap! I value our teamwork too. Coffee sounds great after. It could be a good way for all of us to unwind as a team.”

He nods, sighing. “I’m glad you’re on board. I’m looking forward to that coffee, even if it’s with the whole team. And please, call me Steve.”

So he was flirting…

“Thank you,” you pause as you stand up. “I’m gonna talk with Sergeant Barnes so we can get things ready for tomorrow. Have a good night, Steve!”

*

You knock only three times before the door opens and a Bucky dressed in shorts and a white tank top lets you in with a smirk.

“Sergeant Barnes,” you nod as you take a step inside his bedroom. He only stays here before and after missions when he is too tired to go to his apartment, so you don’t expect to see any personal objects there except for a few clothes.

“What happened to Bucky?”

You look at him surprised, tightening your hold on the tablet you are holding.

What?

“Sir?”

Bucky closes his eyes for a second. “Earlier, during the meeting, you called me Sergeant Bucky.”

Shit!

Maybe you should start calling him Sergeant Barnes in your head as well to avoid these fucks up. You feel so embarrassed that you want to disappear. You don’t want him to think you disrespect him in any way. His rank carries a lot of weight and trauma.

You clear your throat, slightly flustered. “My apologies, Sergeant Barnes. It won’t happen again, sir.” You offer him an apologetic smile while trying very hard to maintain a professional tone.

Bucky’s smirk softens as he places his flesh hand on your shoulder. You feel your legs transforming into jelly.

“My point was, doll, there is no need to be so formal. We’re off-duty here, and titles aren’t necessary. Just call me Bucky.”

“Alright, Bucky,” you smile. “I’m sorry for bothering you, but I came to discuss the plan for tomorrow. I talked to Steve and we agreed it would be wise for you to lead the way as Mr. Wilson-”

“Steve?” Bucky interrupts before you can finish your sentence. He doesn’t even bother to look at your tablet, either.

“Yes, we talked in the office.”

“No, I get that. But you call him Steve? What happened to Cap?” Bucky knows that might sound really childish, but he can’t help it. What is Steve trying to do?

Was it some kind of test? Did you misunderstand everything with Steve?

“Oh, Cap allowed me to call him Steve earlier. I am sorry if it sounded disrespectful.”

He squeezes your shoulder even before moving his hand to your chin, raising your face, and you feel yourself blushing again.

The blue of his eyes is so intense that you can’t see how anyone would be able to survive it.

“You apologize too much, doll. I don’t like it.”

You can’t breathe. “Sor-” You pause, realizing he is right. Apologizing is second nature to you. It feels wrong when you don’t, and you do it without even thinking about it. “I guess I do that a lot. I’ll work on it, Bucky.”

“I’m not your teacher right now, doll.” He smiles, letting go of your chin. “Just remember, we’re not all about formalities here. Relax a bit.”

Easier said than done. But you need to keep it together and ignore the urge to grab his face and finally kiss him. So you focus on talking about the mission and the members of the team. You talk about all of your colleagues, and Bucky helps you take notes. He switched so easily from friendly to the sergeant mode, which is fascinating.

He explains step by step your positions, the way things are gonna happen and even two back up plans. Two!

You’re not overwhelmed by the amount of information, but you’re quite surprised by how much he talks and how well he answers every possible question any of you could have. You don’t think you’ve ever heard him speak for more than a few seconds continuously so you try to focus on every word.

Only when he finishes and you close your tablet after sending everyone the plan, do you see him relaxing again.

With a smirk, he asks you, “How did Steve take it?”

“He was fine with the plan, even suggested if we feel like doing it, to get one or two more members. But based on what you said, we won’t need it.”

“He has a point, of course, but if you said you don’t think you need it, good.” You try not to stare at his lips as he speaks, but it’s so hard. “And I meant how he took that you chose my plan. That you chose me.”

You meet Bucky’s gaze, trying to keep your composure, “Steve seemed more than okay with it from what I saw. He values the team’s decision. Plus, it’s not about choosing sides, and-”

“And not a personal preference of any kind,” he interrupts just to quote you, and you don’t know if you should feel flattered he remembers word by word or to prepare yourself for a negative reaction. To be honest, your head is spinning and him being so close makes it worse. “I heard you very well, but I’m curious…”

He extends his hand and carefully tucks your hair behind your ears. You swear you can hear your own heartbeat going crazy. And if you do, so does he.

“About what?”

“Would the answer be different if it was about personal preferences, doll? Would you choose him?”

You freeze. You are simply in shock because this cannot happen to you. From Steve asking you out earlier to your crush basically doing this. You’re confused and a little tired, but you didn’t imagine all of this. Does Bucky want you? Is that it?

You take a deep breath praying you won’t choke on the words. “In a hypothetical scenario based on personal preferences, Bucky, I would still not pick him.”

Your voice is trembling, but you maintain eye contact even after admitting it. You didn’t choose Bucky’s plan because of your crush, so you shouldn’t feel embarrassed or exposed. He’s the one who let you call him Bucky, who touched you and asked you that. You don’t know if he counts romance as a personal preference, but there is an urge inside you to find out. You wonder how he’d taste, if he’d kiss you back if you kissed him first, how your mission would be if you crossed the line. Your thoughts are foggy.

“So you’d choose me.”

You clear your throat. “Yes.”

“Over Captain America.” His grin is so boyish and cute that it makes you smile. He looks younger and less… burdened when he gets like this. Bucky chuckles, a mischievous glint in his eyes, “Well, well, well. Looks like I got someone not kissing Captain America’s ass for a change. That’s really rare. You’re a naughty one, aren’t you?”

You mask your gasp with a cough, deciding to play along, a sly grin forming on your face. “Maybe I just have a thing for underdogs.”

Bucky’s eyes light up with amusement to your annoyance but also excitement, and he leans in, taking the tablet from your hand and placing it on the floor without a care. “Underdogs, huh? Ouch, that hurt a little. I thought I was your favorite super-soldier.”

You can’t help but giggle, feeling enough encouragement from his reaction to touch his vibranium arm just to feel it. You got the chance to do it only for a couple of seconds and it always fascinated you, especially the golden pattern. The fact he can feel everything because it’s connected to his nerves is insane to you. It probably is to him too. “Oh, you are. And my favorite teacher too. But a little competition never hurts, Sergeant Barnes.”

You can see he feigns offense. “Competition, huh?” Bucky’s playfulness turns into a serious tone as he adds, “Well, let me show you why I’m the only choice.”

And without warning, he closes the distance between you and kisses you.

You gasp, taken aback, but you bring your hands to his face and hip before you deepen the kiss. He’s not as gentle as you expected, his left arm flying to your ass and bringing your hips closer to his immediately.

You moan when you feel his hard on so close to your pussy, and tug on his hair a little.

“Aren’t you a naughty girl?” He lowers his lips to your jaw. “I could basically smell how wet you got earlier as soon as I called you doll. And so did Steve.”

You want to open your eyes and tell him to stop talking about his friend. You don’t want to be turned off, but he already continues.

“He thought he stood a chance with my girl.”

“Your girl?” You whimper when his teeth graze your neck before his tongue licks on the spot. He intends to leave a mark, you have no doubt, and you absolutely love it.

“Mine.” His whisper makes you shiver. “I want to mark you. The thought of having you covered in hickeys during the mission makes me so hard it almost hurts. Gonna show everyone you belong to me.”

“Do I belong to you, Sergeant Barnes?” You take a step back but let your hand linger on his chest teasingly. “Because I don’t remember you asking me to dinner.”

Bucky grins. “Dinner is a classic move, and I adapted very well to the present. But of course I can stop with the kisses right now, and we can have some late dinner.”

You roll your eyes at his unbelievably good answer. Fucker!

“This is not what I meant, Barnes, and you know it.”

“I don’t know it. But I want to know something else.”

You don’t even doubt he means something dirty because it’s too obvious.

“Like what?”

“Like how your pretty pussy tastes while you come all over my face.”

You gasp at the no-filter words. You’re so used to Steve’s warning you to use proper language, that you did not expect it.

“I thought men your age were all about being proper and refined… Don’t they teach subtlety in the 40s etiquette class or did you skip it?”

You tease him on purpose, and he knows it. You are well aware what a nerd he was in school. Such a nerd that it was displayed in the museum. You snort. You were a nerd too, so you love it.

Bucky chuckles, a mischievous gleam in his eyes as he brings his hands to your pants, unzipping them without warning. Holy. Shit. The way you love this. He reads your body language very well and he has his super soldier senses.

“Well, doll, proper and refined went out the window with the 40s, right? Because otherwise you’d not be standing here letting me undress you.”

You raise your eyebrow, a mix of surprise and amusement on your face. His energy is so light, and he looks like a man without a worry in moments like this.

“You’re the one who offered to show me what the little upgraded version of you can do, after all.” You take off your shoes before pulling down your pants as soon as he drags them to your ankles. You can’t believe you’re about to fuck James Bucky Barnes! “Why would I say no?”

“Just sit back and enjoy the ride, doll. Gonna make sure you have the time of your life.”

You snort, amused by his eagerness, and decide to take off your shirt yourself to see his reaction. And he doesn’t disappoint.

He grins like a child, his hands flying straight to your back without taking his eyes off your chest. And before you know it, your bra is on the floor and Bucky cups your breasts, bringing your left tit to his mouth.

If you gasped when you felt the cold touch of the vibranium, now you moan loudly, enjoying the way he licks around your skin. He avoids your nipple on purpose, so you decide to take matters into your own hands quite literally and get a grab of the top of his hair, forcing him to suck on your nipple.

“Fuck! I didn’t expect you to be so whorish,” you say without realizing, and you feel his snort and breath on the wet patch he left with his tongue.

Bucky’s grin turns into a sly smirk. “This is what you call whorish? I guess I’ll give you an experience you won’t ever forget.”

“Talk less, do more.”

You want to enjoy more of this. You have a mission in a few hours, and it might be just a one time thing anyway since he is Bucky Barnes. You don’t want to get your hopes high.

Bucky lets go of your breast with a pop and moves up, raising your head so he can kiss you.

It’s electrifying, and desperate, and not enough. You move your hands to the bottom hem of his tank top and lift it, interrupting the kiss so you can take it off completely. You just want to feel him, all of him.

You step back for a second, wanting to look at him properly, but you notice a change in his eyes that he, of course, tries to mask.

“Why are you nervous? You look like a fucking god! I should be nervous here.”

Bucky’s eyes flicker with vulnerability.

“I guess I’m not used to someone seeing my scars or my,” he waves toward his vibranium arm, and you frown.

“I will sound totally weird, but they all make you really cool, Serge.” You trace down a few scars when you see he is completely relaxed and continue. “Do I have to lick them all to make you believe me?”

You move your hands under his shorts before he can answer, though, finally touching his cock. You both moan at the feeling. He’s hard and thick, and the head is wet. You bring your fingers to his lips, smearing some of the precome before leaning in to suck it off.

You’re not prepared for his moan or for the way he attacks your mouth, and definitely not for him to snap your underwear using his flesh hand. Not even his vibranium one!

You moan into his mouth. He makes you feel like you’re floating and you need to fuck him right then.

“You’re not just whorish, you’re a whore!” You pause when you feel his fingers close to your entrance. “No wonder why you didn’t belong in the 40s.” Then you move, allowing him to touch you. You don’t realize what you said, and when you do, in the middle of dragging his shorts down, you curse yourself in your mind. It sounds like the most disrespectful thing ever. This man’s fate was changed by monsters who cryogenically freezing him and brainwashing him, and you are selfishly talking as if he belonged to you. “I’m sorry that was awful of-” But he interrupts you before you can get a chance to properly apologize.

“You like that, don’t you?”

A wave of shame surges through your body. Your cheeks are burning.

“I’m really sorry,” you take your hands off his shorts and look away, not even peaking at his cock. You ruined it, didn’t you? “I will just go.”

Bucky shakes his head, puffing. “For such an amazing agent, you’re not a good room reader, are you?”

Your eyes finally drop to his cock, which you’ve been trying to avoid in the last minute out of shame, but there’s no need anymore since he’s teasing you. He’s just a bit longer than average, and he’s really thick, and the veins do not make it ugly at all. You are curious how it’d feel in your hand, how much it’d twitch, how Bucky would moan.

“You aren’t a good room reader, either then, Barnes, since I’m not getting dicked down and my hair pulled, am I?”

Something snaps in him, and it’s visible in his eyes. You don’t know what to expect so you just watch him. But you can’t. He is so quick that, despite your crazy training, you don’t anticipate his move. His hand wraps around the hair from your nape and fists it hard enough for you to move along with him.

“Wanna be dicked down? Fine by me, get on your hands and knees.”

You’re surprised, of course you are, but his tone is firm and you find yourself nodding and doing what he told you. You know you can say no; there is nothing in Bucky’s energy that makes you feel unsafe or as if you have no choice.

At the same time, he lets go of your hair just so he can take off his shorts completely.

“Are you not gonna make sure I’m wet enough for you?” You ask when you see him getting closer to you again, even though you are very wet. You just want to push his buttons.

“I can smell you if I focus on it, let me remind you.” He smiles. “I know you’re soaked, and you wanna be dicked down. Or are you backing off?”

Challenging prick!

You roll your eyes. “I’m not scared of your dick.”

“Good, because he wants to be friends with you.”

You close your eyes, cringing. “God, you were this close to turning me off.” You raise your hand in the air, putting your weight on the left one as you bring your thumb and index finger close to each other to show him exactly what a thin line this was.

Bucky laughs, shaking his head. “Don’t worry, I’m gonna make you forget it in a second.”

Your first instinct is to want to tease him about the second remark, to ask him if this is how long he can last, but you’re too horny now. And you also need rest for the mission tomorrow.

“How, uh…” You pause not knowing how to ask this properly. “Can you, uh, make babies?” You cringe at your words. “I mean, widows can’t… and I just wanted to know if we need a condom to be extra careful since you might be extra fertile because I am on the pill and I have no idea how sex with a super sold-”

Bucky’s lips press against yours suddenly, making you stop talking.

“Breathe.”

“I’m breathing,” you whisper and he cups your face.

“Not enough. We can use a condom if you want, but I’ll need to check where I can find one. Or we can go bare if you trust me… I can pull out and you are already protected, so there shouldn’t be a problem, I think.” He pauses to kiss your lips again. “But we can still use a condom anyway to be extra careful as you said.”

You frown at that, suddenly more desperate to feel him bare than ever before.

“No, I trust you. I have never done it without a condom before, and I assume you didn’t have much time to uh… have sex.”

Bucky snorts amused. “Now why do you assume that?”

“You look like you haven’t been fucked since 1945.”

The fact he doesn’t even deny it makes you feel even bolder, so you reach for his cock and place your thumb on his wet head while wrapping the rest of your hand around the length. “Are you gonna even last for a second once you’re inside me, Sergeant Barnes?” You snort when you see him trying to hold back his moan by biting his lip. It makes you feel happy. “Or do you even manage to get inside me before- ahh!” He is predictable this time as he pulls your hair, so you laugh.

“Are you familiar with this whole red, yellow, green color code?”

You gasp. “Yes, read about it, never needed it. But how do you know that?”

“I read about it, too.” His grin is so wide and beautiful that you melt again.

“Quite naughty of you, Serge. Reading dirty books. Needed some ideas?”

Bucky smirks, kissing you again and again. “Gonna need a review after I finish with you.”

“You finishing with me?” You smile. “Big words, Barnes, but no action.”

He knows you challenge him, and you don’t try to hide it. Do you have to beg for his cock for him to finally fuck you? He is edging you on purpose at this point.

You let out a whimper in anticipation when he moves behind you.

“Are you sure you’re fine with no condom?”

“Ihm, I’m not ovulating anyway,” you whisper, trying not to sound too eager. But you are. You want to get dicked down, indeed. And you wanted it for months.

His silence makes you a bit nervous, but the sounds of him dropping to his knees behind you, followed by his hand grabbing his cock and positioning it at your entrance while squeezing your hip with the metal arm.

You love the sensation of the coldness, but you love even more when he leans in to kiss your back before he pushes inside you.

It takes two tries, though, for him to be able to push halfway inside you because you kept pushing his dick out of you instantly. You managed to take him only when he brought his fingers to your clit and rubbed a bit.

You still laughed though because the sounds were too funny and his little frustrated whimpers were hilarious. The amusement turns quickly into more horniness when you feel him stretching you without even being fully inside you. You dreamed and daydreamed about it… fantasized about it, but it still wasn’t even close to how it actually feels. How full it feels. It’s like you cannot even think, your body is weak.

“Fuck,” your voice is cracking. “Deeper.”

“You’re so fucking tight,” he whispers.

“So?” You bring your hand to his ass, trying to show him you really need it deeper. “Why do you make it sound like a bad thing? Or are you trying not to come, Mr. Super Soldier?”

“You have quite a mouth on you, I think you need it-”

“You talk way too much. Are you nervous or-” It’s his turn to interrupt you with a thrust. Such a deep thrust your head is spinning. He’s not fully inside you, you realize, but he doesn’t try to, instead, he starts to fuck you, taking your breath away. His fingers leave your clit, grabbing your hips with both hands.

There is no question anymore, just fucking as you wanted.

And it feels like heaven. You try to keep your eyes open just so you look at him over your shoulder, but it’s impossible.

“Cat got your tongue?”

You groan. “No, you did, n-now fuck me harder.”

“Well, well,” he slows down and you almost wanna die. “This is not how you talk to your Sergeant, is it?”

He can’t do this!

“Fuck you!”

“What does my baby want?” His thrusts are too slow and teasing, just like his voice. “Use your words, beg for it.”

You’re not turned off, surprisingly. Not at all, on the contrary, the firm tone he uses, the words… you’re getting hornier, if that is even possible.

“I love your cock, Sergeant, so please give it to me. Fuck me harder and faster. Need you to pull my hair, and choke me, and… be rough.” You would be embarrassed if you weren’t so desperate. You know he wouldn’t make fun of you for this, so you trust him.

“Only mine.” You take a deep breath relieved when you feel his right hand wrap around your hair. “Do you hear me? Answer me.”

You nod, unable to say anything because he starts to thrust hard and fast, just like he did before he stopped. Your tits are jumping at the impact, and you have to dig your toes into the floor.

“Use your words. If you want my,” he moans. “If you want my cock and my hand wrapped around your neck, you have to use your big girl words. Tell me you’re only mine.”

You can’t hold back your tears this time. You love it so much, you can’t believe you waited so long to have him.

“Only yours.”

“No Steve.”

He lets go of your hair, wrapping his hand around your neck. No pressure, not moving it, he’s just holding it there.

“There’s n-no Steve, Sergeant. Only you. My pussy belongs to you. I o-only want to get filled by you.”

You know he’s smiling without needing to look at him.

“You love your Sergeant’s cock, don’t you?” You have no idea how he’s able to speak while thrusting so hard. He’s a fucking robot, indeed. “No one else could give you this, no matter how much they tried.”

You feel the building in your core. You’re so, so close already, so you try to place your weight on only one hand and bring the other to cover his, and before he can say something, you encourage him to choke you by pressing his fingers on the sides of your neck.

You moan so loudly you surprise even yourself. You sound like a cat.

“Please, sergeant, please, choke me.” You repeat your move and you close your eyes. “Please, daddy, I’m so c-close.”

He pauses for a second, and you don’t know why.

Before you can ask what’s wrong, he doesn’t just start to thrust inside you again, he dicks you down just the way you wanted. It’s as if he fucks the air out of your lungs every time you exhale. You’re crying and screaming at this point, so loud the whole floor must hear you. But you’re not ashamed. You feel so close you can almost taste it.

You barely hear his whimpers, but they’re there and they’re so beautiful.

You get no warning when he decides to squeeze the sides of your neck: gently at first, but then? Perfect. So perfect you come without warning, not being able to even say his name. You just scream some nonsense, your hand dropping from his to the floor so you can ground yourself properly. Your whole body is burning, and burning, and burning, coming alive for what feels like an eternity.

He doesn’t wait even for a second after you come down from your orgasm. Instead, he gets his dick out of you, grabbing you by your ass and raising you in his arms. Still weak, you barely have the strength to wrap your legs around his waist and your hands around his neck. He’s sweaty but not that hot. His metal arm is making you cool down.

“Daddy’s gonna take good care of you.” His lips find your forehead and you fight the urge to kiss his neck. You feel so small in his arms… and as if no one can hurt you.

You’re smiling like a fool when your back hits his bed, and so is he. Such a beautiful, blinding smile.

You let him spread your legs before you drag his face down so you can kiss him. You bite his lip hard until he opens his mouth, moaning when you feel him entering you again. This time, you’re relaxed so he thrusts inside you so much easier.

“Gonna make you come again around your daddy’s cock..”

His hands wrap your legs around his ass when he starts to thrust again.

“You’re quite… into it, Sergeant Barnes. So dirty!”

He gently grabs your jaw. “Tongue out.”

You do it, opening your mouth and waiting, and waiting until you finally understand what he’s about to do.

Instead of being grossed out, as you expected, you eagerly swallow the saliva that he lets drip from his mouth, which lands on your tongue.

You bat your eyes as you start to move your hips to meet his thrusts halfway, and that sends him into a frenzy.

“Fucking hell, you don’t want to sleep tonight, do you?” He asks sarcastically, but you don’t have enough air to tease him with a stamina comment. “You want me to make you scream and swallow my spit and come till we have to go to that fucking mission. Till your beloved Steve needs to come to us himself and hear us covered in come but still fucking.” You moan at the idea of your teammates finding out about this. You get awful comments anyway; at least you can get him for real and rub it in their faces. “You would like that, wouldn’t ya? Having all my undivided attention on you, not caring that my best friend is mad…” The thrusts are so deep that your head falls on the pillow instantly. You cannot keep your eyes open for even a second and you’re crying again. “Not caring my pal wanted you so badly he even tried to take you out tonight.”

“Sergeant-”

Thrust after thrust. You grab his forearm as tightly as you can so you can have something to hold onto.

“He thought he could have you, that you’d choose him. Come on, love. Come on, scream my name, let them hear. Let them all hear whose cock you cry for. Who is the one you belong to.” His balls slap against your skin so hard they tickle you. But not even that can distract you from almost reaching your orgasm. His words, his cock, his possessiveness…

“Sergeant, please. No one but you, can I… c-can I touch my clit? I’m so, so close.”

You don’t have to, though, because he is quick enough to bring his flesh hand between your bodies and rub your clit just the way you need it.

“F-fuck, coming,” you manage to warn him before the pleasure hits you. It’s so overwhelming you see white, digging your nails into his forearm.

You don’t know what you call him… daddy, Bucky or sergeant, but it doesn’t matter. You hear his praise, how you’re his good girl, and his words encouraging you to come for him.

When you can focus again, you kiss him with everything you have.

“Need you to come for me, Sergeant Barnes,” you whisper between kisses. “Need you to come inside me, need you to fill me up with your come, sir.”

He hisses loudly, his eyes being more grey than blue.

“Don’t tease me.”

“I mean it,” you make eye contact, wrapping your legs tighter around him. “Not the heat of the moment. I need your come, daddy. I’m on birth-”

He kisses you so hard your teeth end up hitting, but you don’t care. This is everything.

“Gonna come, gonna give you what you want. Gonna make you my come s-slut. Is that what you needed?”

“Yes, yes.” You’re so excited to watch him finish you don’t even realize how much you like being called his come slut until he says it again. “Come on, Sergeant, come for me.”

After you say that, it only takes him two more thrusts to finish, moaning your name.

His eyes close, and you notice how pretty his eyelashes are. And the little moles on his face… his mouth semi-open and his hair in all directions.

You want to witness this every day.

Before you can stop yourself, you lean in to kiss his nose and cheeks, letting your hips move at the same time.

“C-can’t… doesn’t stop,” he manages to groan, and you bring your hand to his nape, caressing his hair as he rides out his orgasm.

When he finally finishes, though, his head falls on top of your breasts, his mouth finding your nipple and playing with it before sucking it fully into his mouth.

“Easy, Bucky,” you moan, but he keeps going, though.

You have to pull his hair, to make him stop.

“Don’t get me wrong, I love it, but I need to uh… I’m tired.”

You’re back to your shy self. But his smile still makes you feel so relaxed.

“Got you tired, huh?” He winks, giving your breasts a kiss before pressing his lips against yours. “Fuck, I’ve never been so aroused in my entire life. Won’t even mention how happy I am.”

“Me neither,” you whisper.

“Well, we need to get used to it.”

You laugh so happily that you think your chest will explode. It’s surreal.

“You owe me that dinner after all.”

“A million dinners.”

You roll your eyes playfully. “Trying to charm me?”

He pecks you one more time before getting out of you with a whimper.

“I’ve already done it.”

It’s weird to be empty like this again, but seeing your come and wetness on his pubic hair or dripping out of your pussy just to soak the sheets beneath you distracts you. You made a mess.

“We need to clean this.”

“Don’t worry about it,” he says distractedly as he uses his index finger to push some come back inside you. Jesus! “This is the hottest thing I’ve ever seen.”

You smile. “You’re a whore.”

“Your whore.” He slowly gets out of bed, grabbing his shorts from the floor.

“Want me to go?” You ask all of a sudden, gaining a confused look from him.

“Why would I want that? Unless you do, of course…” He runs a hand through his hair, trying to fix it a little. “But I want you to stay.”

“Saw you dressing.” You bring your knees up just to put your chin on top of them. You feel extra shy.

He smiles. “Just gonna get you some water. I don’t want you dehydrated.”

*

Bucky knew Steve was in the kitchen as soon as he went down the stairs. He smiles casually, not giving him a second look as he goes straight to the fridge. It’s not like he hasn’t seen him in shorts or shirtless before, and Bucky knows he knew exactly what happened upstairs.

“Can’t sleep?” Steve’s tone is so obvious Bucky almost laughs.

“Not sleepy yet. What about you? You’re alright, punk?”

“Yeah,” he says, taking a sip from his own glass of water; his hands tightly wrapped around the glass.

“Still mad about earlier? You know I’m right.”

Steve shakes his head. “No, it’s all good.”

Bucky sighs dramatically. He loves Steve, he is his brother, but sometimes he is so annoying.

“Well, try to get some sleep. I suggest you wear some earplugs or something, though,” Bucky suggests casually, taking a whole bottle of water. “We wouldn’t want you too sleepy tomorrow. And the night is young.” He even winks at Steve, making him clear his throat.

“Buck…”

“Not a super soldier perk, I know, but you understand, right?” The smirk he suddenly gives Steve is almost sinister. “She chose me after all, and I gotta let her test-drive me. Have a good night!”

Even though he turns around, Bucky doesn’t miss the way Steve’s hold gets so tight that his glass almost breaks.

Bucky doesn’t regret it. He had it coming when he thought you’d choose him.

[technovillain]

my d.e. fanskills set

these are based on my own personality. so just allow me to be nerdy and vaguely vulnerable for a second.

INTELLECT

SCAFFOLD: call back to past solutions to problems. You are a seasoned professional who can make a Venn diagram of any two situations. This is always appropriate. Cool for: Architects, Think-Tankers, Technical Support

IDEOLOGY: apply your truths. Bring those Philosophy 101 facts to the forefront and show everyone you know how the system works. Fuck the man. Fight the power. Cool for: Soapboxers, Revolutionaries, Activists

REFERENCE: recall previous facts and information you have stored in your head. Cool for: Scholars, Expert Witnesses, Archivists

THREAD: tie unrelated things together to form new concepts or truths. Easily led astray by distraction. Cool for: Conspiracists, Investigators, Crossword Champions

RACONTEUR: tell a story, be it true or false. Is the web you weave convincing? More importantly, does it baffle and dazzle the mind? Cool for: Authors, Compulsive Liars, Dungeon Masters

EVERGREEN: your childlike, everlasting hunger to learn more, and to learn everything. A potted plant frustrated by its root space. Cool for: Finger-Painters, Those Who Pine, Renaissance Men

PSYCHE

APRÉS MOI: look forward to the consequences of the future. See yourself return to the clay and find what remains. Cool for: Dark Poets, Forensic Scientists, Prognosticators

MOTLEY: a fool from a fantasy world. Thinks nothing of the mortal realm and encourages escapism through imagination. Cool for: Spiraling Entertainers, the Absent-Minded, Nincompoops

SOLICITUDE: show compassion and understanding to those around you. You've been there before, reassure them. Cool for: Village Elders, Veterinarians, the Lonely

MATRYOSHKA: connect with versions of yourself long gone. Different names, the shunned, the dearly missed, hold court with them all. Cool for: Introspects, Therapists, Those with Identity Disorders

L'APPEL DU VIDE: think of all the ways it could go wrong. Usually unnecessary and distressing, occasionally enlightening. Occasionally allows you to get into the mindset of a lunatic. Cool for: People on the Edge, Paranoiacs, Health & Safety Inspectors

BREECHES: you're a big boy, you're a grown up, these are facts that you can believe all the time. People take you seriously. You are confident. Cool for: Fragile Egos, Self-Proclaimed Big Boys, Younger Siblings

PHYSIQUE

GUTS: something is stirring in your stomach. Can you handle it? Cool for: Daredevils, the Honest, Dumpster-Divers

SWIVEL: scope out the room. Locate danger and emergency exits. Trust no one. You aren't paranoid, you're just being more cautious than everyone else. Cool for: Bodyguards, Runaways & Fugitives, Petty Criminals

FLOODGATES: Hold it in. Don't cry, don't emote, don't let them know what you're thinking. Cool for: Feeling-Bottlers, Chronic Tough-Guys, Judiciaries

MULTI-TOOL: be resourceful with your tools. Use everything for multiple purposes, get all the juice out of every fruit in your basket. Cool for: The Frugal, Those Who Hate Doing the Dishes, Tailors

ITCH: encompasses most primal desires. Destruction, feasting, sexual gratification, violence. Cool for: Vandals, Hedonists, Party Animals

VIGOR: the overall state of your immune system and physical health. Your body is a well oiled machine. Cool for: Health Nuts, Olympians, Hypochondriacs

MOTORICS

FLOAT: sneak around, light as a feather. Leave the environment undisturbed. You are a gentle breeze. Cool for: Jewel Thieves, Eavesdroppers, the Forgotten

IGNITION: the adrenaline-fed movements of a maniac. How scared are you? How badly do you want to run away? Cool for: Prey Animals, the Guilty, Cowards

FLUIDITY: loosen your jaw and unclench your fists. You're in control of the situation, and none of this will matter a year from now. Cool for: Yogis, Enlightened Monks, Trusted Leaders

PANACHE: move your body in all the right ways. You are unthinkingly perfect at knowing where to put your hands and feet. Cool for: Masters of Charisma, Dancers, Impressive Show-Offs

CROSSHAIRS: make precise and accurate motions with your body and the tools that you wield. Cool for: Court Stenographers, Sharpshooters, Sign Interpreters

BRUNT: bear a heavy load. You don't need any help with this. Your muscles and joints are forged of steel. Cool for: Heroes of the Working Class, Shot-Putters, Powerlifters

[jstor]

I saw something about generative AI on JSTOR. Can you confirm whether you really are implementing it and explain why? I’m pretty sure most of your userbase hates AI.

A generative AI/machine learning research tool on JSTOR is currently in beta, meaning that it's not fully integrated into the platform. This is an opportunity to determine how this technology may be helpful in parsing through dense academic texts to make them more accessible and gauge their relevancy.

To JSTOR, this is primarily a learning experience. We're looking at how beta users are engaging with the tool and the results that the tool is producing to get a sense of its place in academia.

In order to understand what we're doing a bit more, it may help to take a look at what the tool actually does. From a recent blog post:

Content evaluation

Problem: Traditionally, researchers rely on metadata, abstracts, and the first few pages of an article to evaluate its relevance to their work. In humanities and social sciences scholarship, which makes up the majority of JSTOR’s content, many items lack abstracts, meaning scholars in these areas (who in turn are our core cohort of users) have one less option for efficient evaluation. 

When using a traditional keyword search in a scholarly database, a query might return thousands of articles that a user needs significant time and considerable skill to wade through, simply to ascertain which might in fact be relevant to what they’re looking for, before beginning their search in earnest.

Solution: We’ve introduced two capabilities to help make evaluation more efficient, with the aim of opening the researcher’s time for deeper reading and analysis:

Summarize, which appears in the tool interface as “What is this text about,” provides users with concise descriptions of key document points. On the back-end, we’ve optimized the Large Language Model (LLM) prompt for a concise but thorough response, taking on the task of prompt engineering for the user by providing advanced direction to:

Extract the background, purpose, and motivations of the text provided.

Capture the intent of the author without drawing conclusions.

Limit the response to a short paragraph to provide the most important ideas presented in the text.

Search term context is automatically generated as soon as a user opens a text from search results, and provides information on how that text relates to the search terms the user has used. Whereas the summary allows the user to quickly assess what the item is about, this feature takes evaluation to the next level by automatically telling the user how the item is related to their search query, streamlining the evaluation process.

Discovering new paths for exploration

Problem: Once a researcher has discovered content of value to their work, it’s not always easy to know where to go from there. While JSTOR provides some resources, including a “Cited by” list as well as related texts and images, these pathways are limited in scope and not available for all texts. Especially for novice researchers, or those just getting started on a new project or exploring a novel area of literature, it can be needlessly difficult and frustrating to gain traction. 

Solution: Two capabilities make further exploration less cumbersome, paving a smoother path for researchers to follow a line of inquiry:

Recommended topics are designed to assist users, particularly those who may be less familiar with certain concepts, by helping them identify additional search terms or refine and narrow their existing searches. This feature generates a list of up to 10 potential related search queries based on the document’s content. Researchers can simply click to run these searches.

Related content empowers users in two significant ways. First, it aids in quickly assessing the relevance of the current item by presenting a list of up to 10 conceptually similar items on JSTOR. This allows users to gauge the document’s helpfulness based on its relation to other relevant content. Second, this feature provides a pathway to more content, especially materials that may not have surfaced in the initial search. By generating a list of related items, complete with metadata and direct links, users can extend their research journey, uncovering additional sources that align with their interests and questions.

Supporting comprehension

Problem: You think you have found something that could be helpful for your work. It’s time to settle in and read the full document… working through the details, making sure they make sense, figuring out how they fit into your thesis, etc. This all takes time and can be tedious, especially when working through many items. 

Solution: To help ensure that users find high quality items, the tool incorporates a conversational element that allows users to query specific points of interest. This functionality, reminiscent of CTRL+F but for concepts, offers a quicker alternative to reading through lengthy documents. 

By asking questions that can be answered by the text, users receive responses only if the information is present. The conversational interface adds an accessibility layer as well, making the tool more user-friendly and tailored to the diverse needs of the JSTOR user community.

Credibility and source transparency

We knew that, for an AI-powered tool to truly address user problems, it would need to be held to extremely high standards of credibility and transparency. On the credibility side, JSTOR’s AI tool uses only the content of the item being viewed to generate answers to questions, effectively reducing hallucinations and misinformation. 

On the transparency front, responses include inline references that highlight the specific snippet of text used, along with a link to the source page. This makes it clear to the user where the response came from (and that it is a credible source) and also helps them find the most relevant parts of the text. 

[desired-misery]

Serennedy Week: Day 05 Sleeping Arrangements

[Day 01] [Day 02] [Day 03] [Day 04] [Day 06] [Day 07]

Luis has to sleep a particular way. Leon, as Luis learns, doesn't sleep much at all.

Luis has to be supported, in a position that won't twist his lower back or his hips and he elevates his feet to help with swelling and circulation. His nighttime routine, which used to be nothing more than brushing his teeth and perhaps not even changing from the day's clothes if he got home way too late, turns into an honestly exhausting ordeal. Especially if he wants to shower, but that is how it is for him now (and it is the least he deserves for cheating death with the same damn thing that cursed so many others to die). Night is when Luis is most comfortable taking more medication, when the muscle relaxants to help with the pain won't interrupt any of the day's plans— when he isn't expected to do anything but lay in bed or on the couch that Leon had told him, very seriously, that is the most comfortable couch he has ever encountered.

The anxiety that filled Luis when he first invited Leon to spend the night came out of nowhere. He hadn't anticipated the rush of adrenaline through his system because he wasn't expecting anything— or thought Leon was expecting anything— and he didn't have plans because that wasn't something he was comfortable handling yet on top of everything. It caught him so unawares that he couldn't hide it, couldn't control it, because he had never felt that way about even the appearance of someone spending the night; he was always the opposite, the confident and comfortable one that he prided himself on being—

The quickness in which Leon said he could leave if Luis changed his mind, if Luis didn't want him over after all, was so earnest that it settled things before the tears prickling Luis' eyes could form. The smile Leon gives him when Luis can take a steadier breath is reflexively reassuring, and filled with easy relief that Luis accepts such a simple solution. Luis didn't want Leon to leave, not at all, but knowing Leon would be willing to go meant way more than he thought it would (which doesn't make sense, because Leon has never given any indication he would make anything difficult or uncomfortable).

It took Luis a while to learn that Leon does not sleep well. That delayed realization is firmly blamed on the medication that results in Luis being far too groggy to pay attention to much (as designed, so the chronic pain and muscle spasms can leave him alone for at least enough hours to get the rest his body so desperately needs), and Leon very much being himself and not acting like there is anything amiss.

Luis wakes up in pain that breaks through his REM cycle. As he shifts to see if that will help, staring up at the dark ceiling, he hears the very distinct sound of his coffee machine whirring.

"Leon?" Luis calls, making an assumption because if it is anyone else they have bigger problems— and well, if someone wants to break into his apartment to get coffee then they very well can have some if they need it so badly.

The door opens slowly.

"Sorry," Leon says, the darkness of the hallway obscuring everything except for his voice.

"Make me some, too?" Luis asks. He goes to reach for the lamp on his nightstand, but that is too much right now. The gasp that leaves his lungs is not loud, but Leon is always attentive. The hallway light turns on, revealing Leon shifting to lean his weight against the door frame, in a plain white shirt and only boxers. If Luis was in better condition, he would make a point to admire Leon's legs— especially his muscular thighs— but he's not, because his body is unhappy about something— a lot of something, based on how his back seizes when he tries to lay back down so carefully to try to avoid that very problem.

"You good?" Leon asks, too back-lit to parse his expression but Luis knows him well enough to picture the frown he is surely sporting.

"Need to take something stronger," Luis says, giving up and lying back down with a groan that is mostly for dramatics. He gestures at the lamp, which prompts Leon to pad forward on bare feet and turn it on.

"Mixing uppers and downers?" Leon says, with a half-smile when Luis sends him a look that says he isn't in the mood to joke around, or at the least give the feedback that Leon wants. "Can you take it on an empty stomach?"

"Coffee," Luis says.

"That doesn't count," Leon replies, with a softer smile. "Ask me how I know."

Luis groans again, staring up at the ceiling.

"I'll bring you some, too. After you eat something."

Luis mutters an unnecessary amount of obscenely colorful insults in Spanish— and Leon, the bastard, laughs. Because of course Leon has picked up swearing in another language; it is probably the first thing Leon actually learned.

But Leon taking the time to find him something to eat is enough to convince Luis to manage to placate that concern by humoring Leon (it's very valid; Luis has experienced the issues of taking medication on empty stomach when the pill bottles say to do the exact opposite, but most of the time he doesn't care because that pain can never be worse than what it would cause if he tried to get up to find something). And as promised, Leon brings the coffee over.

"Stay," Luis says, patting the other side of the bed that he leaves empty. Just because it is easier to get out of bed if he isn't in the middle of it.

"I don't want to keep you awake," Leon says, hesitating.

"You won't, not when this kicks in," Luis promises.

"I'm a restless sleeper," Leon says, still stalling.

"As long as you don't thrash or kick me in your sleep, you'll be fine." Luis says, intending for another joke.

The smile Leon makes is very decidedly not a smile at all, weak and fleeting. "Exactly."

Damn it— Luis swallows. Of course Leon has nightmares; the man has permanent bags under his eyes. Luis has nightmares, too. He just cannot physically act them out.

"Well, stay until I fall asleep? You don't have to lay down." Luis tries, maybe too hard.

But it must be something Leon wants, too, even thought he has never indicated that he feels the same, because Leon caves with no more convincing. Leon sits on the foot of the bed with his own mug of coffee— so Luis doesn't have to turn his head to look at him, Leon somehow knowing that doing so is not comfortable for him right now, and they talk.

Quietly, about meaningless stuff. Far too soon, Luis feels his tongue get heavy and unruly, and it is getting hard to search for the right words to keep talking. Leon rescues the empty mug from Luis' lap, so it doesn't risk falling onto the floor and shattering.

"Stay," Luis says, hearing the slurred word in his own ears.

"I'll keep the door open," Leon says, whisper-soft. "I'll hear you."

Leon turning off the lamp light feels like a finality, but then, as Leon retreats back into the living room, he pauses at the bathroom to crack that door open, too, and turn that light on so that the hallway doesn't become an empty pit of darkness. Not that it matters to Luis, once he is out (because he really is incapable of being aware of much when he takes this medication), but it means so much, knowing Leon is there, that Leon still continues to choose to stay.

[argumate]

glancing through another slew of papers on deep learning recently and it's giving me the funny feeling that maybe Yudkowsky was right?? I mean old Yudkowsky-- wait, young Yudkowsky, baby Yudkowsky, back before he realised he didn't know how to implement AI and came up with the necessity for Friendly AI as cope *cough*

back in the day there was vague talk from singularity enthusiasts about how computers would get smarter and that super intelligence would naturally lead to them being super ethical and moral, because the smarter you get the more virtuous you get, right? and that's obviously a complicated claim to make for humans, but there was the sense that as intelligence increases beyond human levels it will converge on meaningful moral enlightenment, which is a nice idea, so that led to impatience to make computers smarter ASAP.

the pessimistic counterpoint to that optimistic idea was to note that ethics and intelligence are in fact unrelated, that supervillains exist, and that AI could appear in the form of a relentless monster that seeks to optimise a goal that may be at odds with human flourishing, like a "paperclip maximiser" that only cares about achieving the greatest possible production of paperclips and will casually destroy humanity if that's what is required to achieve it, which is a terrifying idea, so that led to the urgent belief in the need for "Friendly AI" whose goals would be certifiably aligned with what we want.

obviously that didn't go anywhere because we don't know what we want! and even if we do know what we want we don't know how to specify it, and even if we know how to specify it we don't know how to constrain an algorithm to follow it, and even if we have the algorithm we don't have a secure hardware substrate to run it on, and so on, it's broken all the way down, all is lost etc.

but then some bright sparks invented LLMs and fed them everything humans have ever written until they could accurately imitate it and then constrained their output with reinforcement learning based on human feedback so they didn't imitate psychopaths or trolls and-- it mostly seems to work? they actually do a pretty good job of acting as oracles for human desire, like if you had an infinitely powerful but naive optimiser it could ask ChatGPT "would the humans like this outcome?" and get a pretty reliable answer, or at least ChatGPT can answer this question far better than most humans can (not a fair test as most humans are insane, but still).

even more encouragingly though, there do seem to be early signs that there could be a coherent kernel of human morality that is "simple" in the good sense: that it occupies a large volume of the search space such that if you train a network on enough data you are almost guaranteed to find it and arrive at a general solution, and not do the usual human thing of parroting a few stock answers but fail to generalise those into principles that get rigorously applied to every situation, for example:

the idea that AI would just pick up what we wanted it to do (or what our sufficiently smart alter egos would have wanted) sounded absurdly optimistic in the past, but perhaps that was naive: human cognition is "simple" in some sense, and much of the complexity is there to support um bad stuff; maybe it's really not a stretch to imagine that our phones can be more enlightened than we are, the only question is how badly are we going to react to the machines telling us to do better.

[delta-orionis]

deep processing layer acts a lot like an "organic algorithm" based off the patterns, and I think slime molds could be a good comparison alongside the conways game of life and bacterial colony simulations. either way, its like a math process but organic...

Oh yeah definitely. It could be a massive array of bioluminescent microorganisms that behave very similar to a cellular automaton, or a similar "organic algorithm" like you said.

(Left: Deep Processing, Right: Conway's Game of Life)

Slime molds in particular use a method called heuristics to "search" for an optimal solution. It may not be the "best" solution, but often it can come close. One of the most commonly cited examples of using slime molds in this way is in the optimization of transit systems:

Physarum polycephalum network grown in a period of 26 hours (6 stages shown) to simulate greater Tokyo's rail network (Wikipedia)

Another type of computing based on biology are neural networks, a type of machine learning. The models are based on the way neurons are arranged in the brain- mathematical nodes are connected in layers the same way neurons are connected by synapses.

[1] [2]

I know very little about this form of computation (the most I know about it is from the first few chapters of How to Create a Mind by Ray Kurzweil, a very good book about artificial intelligence which I should probably finish reading at some point), but I imagine the cognitive structure of iterators is arranged in a very similar way.

I personally think that the neuronal structure of iterators closely resembles networks of fungal mycelia, which can transmit electrical signals similar to networks of neurons. The connections between their different components might resemble a mycorrhizal network, the connections between fungal mycelia and plant roots.

Iterators, being huge bio-mechanical computers, probably use some combination of the above, in addition to more traditional computing methods.

Anyway... this ask did lead to me looking at the wikipedia articles for a couple of different cellular automata, and this one looks a LOT like the memory conflux lattices...