#Intelligence Fabric

[leonbasinwriter]

The system is moving. Not just AI, not just business—intelligence itself is in play.

[fluffylord]

TWELFTH DOCTOR S09 E00 | LAST CHRISTMAS

[thepersonalwords]

Naive people tend to generalize people as—-good, bad, kind, or evil based on their actions. However, even the smartest person in the world is not the wisest or the most spiritual, in all matters. We are all flawed. Maybe, you didn’t know a few of these things about Einstein, but it puts the notion of perfection to rest. Perfection doesn’t exist in anyone. Nor, does a person’s mistakes make them less valuable to the world. 1. He divorced the mother of his children, which caused Mileva, his wife, to have a break down and be hospitalized.2.He was a ladies man and was known to have had several affairs; infidelity was listed as a reason for his divorce.3.He married his cousin.4.He had an estranged relationship with his son.5. He had his first child out of wedlock.6. He urged the FDR to build the Atom bomb, which killed thousands of people.7. He was Jewish, yet he made many arguments for the possibility of God. Yet, hypocritically he did not believe in the Jewish God or Christianity. He stated, “I believe in Spinoza’s God who reveals himself in the harmony of all that exists, not in a God who concerns himself with the fate and the doings of mankind.

Shannon L. Alder

[qsmprambling]

Imagine Egg A1 still has one life left, and it somehow manages to escape the facility... It is being followed by mobs, by Federation employees, being hurt by the poison ivy and other environmental threats, but it keeps running, because what other choice is there? That parkour course was a trick after all, the last block was a fake, it was never meant to pass that test in the first place.

So it keeps running, but the Federation workers are getting closer. It won't be able to avoid them forever...

But then it bursts through some bushes and comes face to face with someone new - and it's Bad, out building or exploring or just wandering alone. A1 is immediately afraid, of course. It is a stranger, a very visually striking stranger, the complete opposite of the pure white and featureless employees of the Federation. But there are people close behind, and it knows what will happen to it if it is caught, so... It has no choice but to try. It has no way to communicate, no signs or books, so it simply rushes to hide behind him and hopes he understands, and that he is willing to help...

And Bad, for his part, well.. he's an extremely cautious and paranoid person, and this is just an incredibly confusing and unexpected situation to be in. An unknown egg appeared out of nowhere and is hiding behind him, he can see Federation employees in the distance that are clearly looking for something... He knows that the code has been disguising itself as eggs, and that the strange egg in front of him with no marks, no distinguishing features, an egg that he has never seen before, could easily be the code monster preparing to attack at any moment...

But there is absolutely no way Bad could ever look at an egg in distress and not try to help it, even knowing it could be a trap.

So he quickly digs a shallow hole and pushes the mysterious egg into it, covering it up just in time, and when the employees throw him a book asking if he had seen anything, he lies effortlessly, he complains about nonsense, he asks them where the Ekea is and is as annoying as he can be, until they leave.

And now they're alone... just Bad an this mystery egg in the middle of the woods, A1 too afraid to leave the hole even when Bad tries to coax it out. He gives it food and tries his best to comfort it, to tell it everything is okay and that the pursuers are gone. He gives it some signs and a book, trying to see if it will write anything to him or answer any of his questions, but he gets no reply. A1 is just too afraid to even attempt to answer, and Bad doesn't even know if it understands him. He tries what few words he does know of the other languages, and still no response.

What should he do? As much as the image of a tiny, terrified egg makes him want to do all he can for it he also needs to be safe. He can't bring it home, because if it is a code there is no way he is bringing it anywhere near Dapper. Should he call someone else for help, or would that draw too much attention? Would it even be safe for him or the egg to let anyone know right now? And was this egg dangerous, or harmless and in need of protection? He wouldn't abandon it regardless but...

What now?

[x-heesy]

„Fabricated Elegance“ by vojtek morsztyn 🖤

Artificial Intelligence in: Architecture, Industrial Design and Digital Arts 🎭

Vojtek Morsztyn is a creative designer who is combining traditional design with a new technology in the field of Industrial and Interior Design.

#Travelingwithoutmoving 🧭

#architecture #architecturephotography #architecturelovers #architectureporn #architecturedesign #architecturelover #architecturephoto #architecturedaily #architecture_hunter #architecturedetail #architecturephotos #architecturedose #architectureanddesign #architecturelife #architecturegram #architecturelove #architecturephotograpy #architectures #architectureinspiration #architecture_view #architektur #architekturfotografie #architekturfotograf #architektur_erleben #architekturliebe #architekturporn #architekturelovers #furniture #furnituredesign #furnituremaker #furnituredesigner #furnitureartist #furnituremanufacturer #furnituremodern #furnitureclassic #furnitureinterior #furniturerestoration #furnituremaking #möbel #møbel #möbeldesign #holzmöbel #möbelrenovering #møbeldesign #möbelliebe #möbelmanufaktur #designmöbel #vintagemöbel #möbelrestaurierung #möbelstück #möbelklassiker #möbelmitgeschichte #möbelaffär #designermöbel #interiordesign #design #homedecor #home #decor #interior #decoration #interiors #architecture #homedesign #luxury #style #designer #sofa #livingroom #art #inspiration #furnituredesign #mobilya #homesweethome #dekorasyon #kitchen #interiordesigner #modern #interiordecor #love

Fables & Fairytales - Deniz Kurtel Remix by N/a, Rosina 🎧

[craftmausoleum]

Northwest Fabric's Sewing Basket, vol. 3, no. 11. France Publication, Sept. 1977.

For a close up of "The Sewing Bee," I've put it beneath the read-more line.

My favorite one is from Mrs. P. M. Fechter (Omaha, NE):

"[...] has a back saving tip. She uses magnets as fabric weights on the top of a chest freezer. No pins are needed which saves time and the freezer is a slightly higher surface which can save your back."

Trying to explain to people outside of the Midwest/Plains that it is sensible to have NOT ONLY a kitchen freezer, but a chest freezer + garage fridge is an alien task. Where else do you put this year's venison? It turns out this isn't a ubiquitous dilemma.

[the-valiant-valkyrie]

historians will call them coworkers

[acuvate-updates]

Revolutionizing Enterprises: CXO’s GenAI Transformation

1. Unlocking AI’s Potential: A Strategic Overview

AI adoption, embraced by 70% of executives, promises enhanced customer experiences despite challenges. Understanding and integrating AI into business operations is essential. Explore our guide for actionable insights, ensuring businesses not only survive but thrive in the AI-driven era.

Learn more about Artificial Intelligence impact in 2025

AI Reshaping Decision-Making in 2025

Generative AI, like GPT, simplifies business processes. It transforms decision-making with its user-friendly interfaces, self-learning capabilities, and efficient sorting.

Furthermore, it’s a budget-friendly solution with no training fees, making it accessible for businesses of various sizes.

Our guide aims to offer practical insights for responsibly adopting this transformative technology. Following our roadmap allows businesses to navigate the Generative AI landscape, ensuring success in the constantly changing digital environment.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

C-Suite Roles Transformed by AI

Strategic AI Adoption Tips for Leaders

To successfully adopt AI, prioritize it for strategic goals, use tailored features, and embrace multilingual capabilities. Ensure secure deployment for data integrity. Offices that adopt AI enjoy streamlined processes, ongoing innovation, and secure frameworks.

2. Transforming C-Suite Roles with AI

Empowering CIOs: Innovating IT with AI

In enterprise IT, AI, particularly models like GPT, empowers CIOs to break traditional boundaries and improve operations through groundbreaking innovations.

Use Cases:

· Smart IT Helpdesk Support: AI ensures 24x7 support with human-like conversations, reducing user effort and cost.

· Smart Search: AI transforms data management, improving user engagement with easy-to-use search capabilities.

· Next-Gen Customer Support: AI automates email-based queries, crafting personalized responses for enhanced customer experiences.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Implementation Tips:

· Prioritize AI for strategic goals.

· Personalized and multilingual capabilities.

· Ensure secure deployment for data integrity.

· Offices embracing AI experience streamlined helpdesks, continuous innovation, and secure frameworks.

Empowering HR with AI: From Administration to Leadership

Use Cases:

· AI-powered Talent Acquisition: AI streamlines global recruitment, automating candidate screening and optimizing interview scheduling.

· Efficient Employee Onboarding: AI redefines onboarding by using chatbots to create personalized experiences and promote communication across departments.

· Personalized Employee Engagement: AI’s learning capabilities drive adaptive engagement activities, ensuring timely interventions and integrating feedback loops.

· Data-Driven Learning and Development: AI changes learning through advanced knowledge mining, personalized modules, and interactive interfaces.

Implementation Tips:

· Align AI integration with strategic HR goals.

· Leverage AI’s personalization and multilingual features.

· Uphold data integrity and fortify security during deployment.

· Offices leveraging AI experience streamlined recruitment, efficient onboarding, personalized engagement, and reimagined L&D.

Also, read more about How GPT-powered Chatbots Can Help HR Leaders Drive Engagement and Retention

AI-Powered Marketing: A CMO’s Secret Weapon

Use Cases:

· AI-Powered Brand Engagement Solutions: AI revolutionizes brand engagement with personalized content, human-like communication, and timely identification of upsell opportunities.

· Smartly allocate ad spending: AI enables CMOs to allocate budgets wisely by analyzing real-time market trends predictively.

Implementation Tips:

· Prioritize AI Integration aligned with core marketing goals.

· Leverage Multilingual Features for global brand reach.

· Strategize Deployment with a focus on data integrity and customer privacy.

· Offices with AI experience tailored brand engagement, proactive ad spend decisions, and seamless multilingual marketing.

Explore the Power of Generative AI for enhancing CX — Marketing and Customer support/ Engagement

AI: The COO’s Catalyst for Operational Agility and Efficiency

In the realm of Operational efficiency, Chief Operating Officers (COOs) orchestrate processes to optimize resources.

Use Cases:

· Simplifying the supply chain: Artificial Intelligence (AI) provides a high-level perspective, facilitating proactive demand forecasting and prompt corrective actions for effective supply chains.

· Enhancing Operational Communication: AI-powered chatbots ensure role-specific information flow, facilitating real-time feedback and swift issue resolution.

· Driving Operational Cost Optimization: AI analyzes data for cost leakage points, recommends resource redistribution, and encourages real-time cost insights.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Implementation Tips:

· Justify Integration Effort with improved operational KPIs.

· Leverage Iterative Learning for continuous process refinement.

· Prioritize Data Security, safeguarding organizational assets.

· Offices with AI experience data-driven supply insights, intelligent communication, and dynamic cost optimization.

· In the dynamic field of data management, Chief Data Officers (CDOs) use AI, including GPT and other generative AI models, as strong supporters to decode large datasets effectively.

Use Cases:

· Enhancing Data Intelligence: AI’s advanced algorithms mine data, providing insights that shape business strategies through predictive modeling and intelligent summarizing.

· Managing Unstructured Data: AI’s NLP features efficiently process and convert unstructured data into organized, clear formats, enhancing data processing efficiency.

· Enhancing Data Governance: AI simplifies data management by automating organization, ensuring compliance with regulatory policies, real-time breach detection, and maintaining data standards.

Implementation Tips:

· Start with a clear data strategy aligning AI’s abilities with major data challenges.

· Prioritize data protection in AI adoption for utility and security.

· Invest in continuous training, refining AI models for better understanding of organizational data.

· Offices with AI experience automated, intelligent data insights, streamlined data, and proactive, AI-assisted data governance.

3. AI’s Impact: Boosting Enterprise Efficiency

Discover how advanced AI, including Azure OpenAI’s GPT, is reshaping enterprise operations. Explore real-world use cases across departments, showcasing the profound impact of Generative AI on organizational efficiency.

AI Integration Across Departments

SharePoint Search Integration

Structured Data Insights & Summarization

AI enables the effortless transformation of structured data into actionable intelligence. This module analyzes tables and databases, extracting meaningful insights presented in user-friendly natural language summaries, empowering teams for informed decision-making.

R&D Assistant

In Research and Development, AI acts as a dedicated assistant, leveraging internal and external data sources for comprehensive reports and analysis.

Customer/Consumer Support

Elevate customer support with an AI-powered chatbot that delivers personalized and context-aware responses. By training the model with customer support data, this solution ensures accuracy and seamless integration with existing systems.

HR Chatbot

AI becomes an invaluable virtual assistant in HR, guiding employees through common queries with personalized responses. From leave requests to company policies, this intelligent chatbot ensures a seamless and efficient employee experience.

IT Chatbot

Revolutionize IT support by using an AI-powered chatbot. The chatbot can troubleshoot common issues, give step-by-step instructions, and escalate complex cases. Enhance user experience and streamline technical support with this essential tool.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Document Comparison/RFP Validation

AI streamlines procurement and HR processes by comparing documents. Quickly analyze text documents for similarities, differences, and changes, ensuring accuracy in document validation and specifications.

Procurement Assistant

Automate and streamline the procurement process with an AI-powered assistant. Generate purchase orders, request for quotations, and vendor evaluations based on predefined templates and user inputs, ensuring efficiency and accuracy.

Search Integration with SAP JAM/ServiceNow KB/Salesforce KB

Bridge the knowledge gap by integrating AI with ERP and ITSM systems. Enable interactive conversations beyond search results, enhancing user understanding and engagement with content.

Knowledge Management Solution

Empower your workforce with a Knowledge Management Solution seamlessly merging AI with Azure Cognitive Search. Unlock information from diverse sources, fostering a culture of knowledge-sharing and collaboration.

Integrate innovative AI use cases into your strategy for streamlined processes and enhanced user experiences.

4. Unlocking AI’s Power with Acuvate: A Comprehensive Guide

As businesses embrace AI’s transformative potential, Generative Pre-trained Transformers (GPT) take center stage, enhancing productivity. Our guide delves into AI FAQs, ensuring data security and adaptability for enterprise needs.

To stay informed and up to date with the latest trends, join our webinars featuring industry experts from organizations like Microsoft, Shell, and more.

Acuvate Advantage

Experience the Org Brain GPT framework, combining analytics and enterprise security. Acuvate’s expertise, spanning 16 years, ensures customized AI solutions for streamlined processes.

Explore our AI trends guide to boost your organization’s capabilities. Request a demo or insight into Acuvate’s transformative AI solutions for enhanced performance.

Also, read our other blogs on the AI revolution on Medium

9 Must-Watch Webinars of 2025 for Tech Enthusiasts | Medium

- AI-Driven Transformation: A CXO's Guide to Generative AI Success | Medium

GPT Revolution in AI - A Strategic Guide for CXO | Medium

Emerging Energy Technologies: Data, AI & Digital Solutions in 2025 | Medium

[apparel-architects]

Futuristic Fashion trends, it's time to Ai.#trending #models About the Show: Join me in a world where fantasy becomes reality, featuring high-fashion gowns inspired by the natural world. Each piece is a tribute to the animal it represents, embodying the spirit of wildlife in every thread. www.apparelarchitects.com #fashion #ai #shorts #youtubeshorts #aimodels #runway #foryou #tik_tok #reelsvideo#reelsvideo #reels #reels__tiktok #reelsviral #trending #foryou #model #tik_tok

[make-a-little-mischief]

What do you mean you can't be in love with someone's deep v???

Preposterous!!

[burntblueberrywaffles]

[byanyan]

ㅤif you're someone they like well enough to consider a friend, byan is kind of like a crow is with humans they like, in that they'll randomly bring little gifts and trinkets they think you'll like. are these usually things they've stolen? that's a dumb question, of course they are. if they see something anywhere — in a store, being worn by someone, doesn't matter where — that makes them think of you or that they know is the sort of thing you like, they'll steal it just for you.

sometimes they'll hand it to you in person, other times they leave it somewhere you'll find it with no explanation.

[amazingmagda]

im scared that in the future ai will take over all the facets of life and humanity will turn into soulless husks ;-;

[craftmausoleum]

Northwest Fabric's Sewing Basket, vol. 3, no. 6. France Publication (?), March 1977.

Ah yes, DRAPERIES! Such lovely printing quality- especially when considering how clear the back cover is.

Beneath the read-more line is this edition's "The Sewing Bee" section, all by itself.

[doomingthenarrative]

we NEED more stories abt the humanization of robots

[jcmarchi]

Microsoft’s Majorana hype: Real proof or just marketing?

New Post has been published on https://thedigitalinsider.com/microsofts-majorana-hype-real-proof-or-just-marketing/

Microsoft’s Majorana hype: Real proof or just marketing?

Introduction: The quest for reliable qubits

Quantum computing faces a fundamental challenge: qubits, the basic units of quantum information, are notoriously fragile.

Conventional approaches, such as superconducting circuits and trapped ions, require intricate error-correction techniques to counteract decoherence. Microsoft has pursued an alternative path: Majorana-based topological qubits, which promise inherent noise resistance due to their non-local encoding of quantum information.

This idea, based on theoretical work from the late 1990s, suggests that quantum states encoded in Majorana zero modes (MZMs) could be immune to local noise, reducing the need for extensive error correction. Microsoft has invested two decades into developing these qubits, culminating in the recent “Majorana 1” prototype.

However, given past controversies and ongoing skepticism, the scientific community remains cautious in interpreting these results.

The scientific basis of Majorana-based qubits

Topological qubits derive their stability from the spatial separation of Majorana zero modes, which exist at the ends of specially engineered nanowires. These modes exhibit non-Abelian statistics, meaning their quantum state changes only through specific topological operations, rather than local perturbations. This property, in theory, makes Majorana qubits highly resistant to noise.

Microsoft’s approach involves constructing “tetrons,” pairs of Majorana zero modes that encode a single logical qubit through their collective parity state. Operations are performed using simple voltage pulses, which avoids the complex analog controls required for traditional superconducting qubits.

Additionally, digital measurement-based quantum computing is employed to correct errors passively. If successful, this design could lead to a scalable, error-resistant quantum architecture.

However, while the theoretical framework for Majorana qubits is robust, experimental verification has been challenging. Majorana zero modes do not occur naturally and must be engineered in materials like indium arsenide nanowires in proximity to superconductors.

Establishing that these states exist and behave as expected has proven difficult, leading to past controversies.

Historical controversies: The 2018 retraction

A major setback for Microsoft’s Majorana initiative occurred in 2018 when researchers, including Leo Kouwenhoven’s team at TU Delft (funded by Microsoft), published a Nature paper claiming to have observed quantized conductance signatures consistent with Majorana zero modes.

This was hailed as a breakthrough in topological quantum computing. However, by 2021, the paper was retracted after inconsistencies were found in data analysis. Independent replication attempts failed to observe the same results, and an internal investigation revealed that a key graph in the original paper had been selectively manipulated.

This event, dubbed the “Majorana Meltdown,” significantly damaged the credibility of Microsoft’s approach. It highlighted the challenge of distinguishing genuine Majorana modes from other quantum states that mimic their signatures due to material imperfections. Many physicists became skeptical, arguing that similar issues could undermine subsequent claims.

Experimental progress and remaining challenges

Despite the 2018 controversy, Microsoft and its collaborators have continued refining their approach. The recent announcement of the “Majorana 1” chip in 2025 presents experimental evidence supporting the feasibility of Majorana-based qubits.

Key advancements include:

Fabrication of “topoconductor” materials: Microsoft developed a new indium arsenide/aluminum heterostructure to reliably host Majorana zero modes.

Parity measurement success: The team demonstrated that they could measure the qubit’s parity (even vs. odd electron occupation) with 99% accuracy, a crucial validation step.

Increased parity lifetime: The qubit’s state exhibited stability over milliseconds, significantly surpassing superconducting qubits’ coherence times (which are typically in the microsecond range).

Digital control implementation: Unlike analog-tuned superconducting qubits, Majorana qubits can be manipulated with simple voltage pulses, theoretically enabling large-scale integration.

While these are important steps forward, the experiments have not yet demonstrated key quantum operations, such as two-qubit entanglement via non-Abelian braiding. Until this milestone is achieved, claims about the superiority of topological qubits remain speculative.

Comparison with other qubit technologies

To assess Microsoft’s claims, it is useful to compare Majorana qubits with existing quantum computing platforms:

Superconducting qubits (IBM, Google): These have demonstrated successful quantum error correction and multi-qubit entanglement but require extensive calibration and error correction. Fidelity levels for two-qubit gates currently range around 99.9%.

Trapped-ion qubits (IonQ, Quantinuum): These offer superior coherence times (seconds vs. microseconds for superconductors) but suffer from slow gate speeds and complex laser-based control.

Majorana-based qubits: Theoretically provide built-in error protection, reducing the need for extensive error correction. However, experimental validation is still in progress, and large-scale integration remains untested.

Microsoft has argued that Majorana qubits will enable a quantum computer with a million qubits on a single chip, a feat that conventional qubits struggle to achieve.

While this is an exciting possibility, many researchers caution that scaling challenges remain, especially given the extreme conditions (millikelvin temperatures, precise nanowire fabrication) required for Majorana qubits.

Despite recent progress, many physicists remain skeptical of Microsoft’s claims.

Key concerns include:

Lack of direct evidence for Majorana zero modes: While Microsoft’s 2025 Nature paper presents strong supporting data, the scientific community has yet to reach a consensus that Majorana modes have been definitively observed.

Alternative explanations for observed phenomena: Many experimental signatures attributed to Majorana states could be explained by disorder-induced states or other trivial effects in semiconductor-superconductor interfaces.

Unverified large-scale claims: Microsoft’s assertion that its approach will lead to fault-tolerant quantum computing “within years, not decades” is met with skepticism. Experts note that even the most advanced conventional quantum computers are still years away from practical applications, and scaling from an 8-qubit chip to a million-qubit processor is an enormous leap.

Comparison to competing approaches: Some argue that improvements in quantum error correction for superconducting and trapped-ion qubits may render topological qubits unnecessary by the time they are fully realized.

A Promising but unproven path

Microsoft’s Majorana-based qubits represent one of the most ambitious efforts in quantum computing. The theoretical promise of intrinsic error protection and simplified quantum control is compelling, and recent experiments provide encouraging evidence that topological qubits can be realized.

However, historical controversies, ongoing skepticism, and the lack of key demonstrations (such as two-qubit gates) mean that these qubits are not yet a proven alternative to existing technologies.

While Microsoft has made significant strides in overcoming past setbacks, their claims of imminent large-scale quantum computing should be met with caution.

The coming years will be critical in determining whether Majorana qubits will revolutionize quantum computing or remain an elegant but impractical idea. As independent verification and further experiments unfold, the scientific community will ultimately decide whether Microsoft’s bold bet pays off.