#future of nlp

[riazhatvi]

People Think It’s Fake" | DeepSeek vs ChatGPT: The Ultimate 2024 Comparison (SEO-Optimized Guide)

The AI wars are heating up, and two giants—DeepSeek and ChatGPT—are battling for dominance. But why do so many users call DeepSeek "fake" while praising ChatGPT? Is it a myth, or is there truth to the claims? In this deep dive, we’ll uncover the facts, debunk myths, and reveal which AI truly reigns supreme. Plus, learn pro SEO tips to help this article outrank competitors on Google!

Chapters

00:00 Introduction - DeepSeek: China’s New AI Innovation

00:15 What is DeepSeek?

00:30 DeepSeek’s Impressive Statistics

00:50 Comparison: DeepSeek vs GPT-4

01:10 Technology Behind DeepSeek

01:30 Impact on AI, Finance, and Trading

01:50 DeepSeek’s Effect on Bitcoin & Trading

02:10 Future of AI with DeepSeek

02:25 Conclusion - The Future is Here!

Why Do People Call DeepSeek "Fake"? (The Truth Revealed)

The Language Barrier Myth

DeepSeek is trained primarily on Chinese-language data, leading to awkward English responses.

Example: A user asked, "Write a poem about New York," and DeepSeek referenced skyscrapers as "giant bamboo shoots."

SEO Keyword: "DeepSeek English accuracy."

Cultural Misunderstandings

DeepSeek’s humor, idioms, and examples cater to Chinese audiences. Global users find this confusing.

ChatGPT, trained on Western data, feels more "relatable" to English speakers.

Lack of Transparency

Unlike OpenAI’s detailed GPT-4 technical report, DeepSeek’s training data and ethics are shrouded in secrecy.

LSI Keyword: "DeepSeek data sources."

Viral "Fail" Videos

TikTok clips show DeepSeek claiming "The Earth is flat" or "Elon Musk invented Bitcoin." Most are outdated or edited—ChatGPT made similar errors in 2022!

DeepSeek vs ChatGPT: The Ultimate 2024 Comparison

1. Language & Creativity

ChatGPT: Wins for English content (blogs, scripts, code).

Strengths: Natural flow, humor, and cultural nuance.

Weakness: Overly cautious (e.g., refuses to write "controversial" topics).

DeepSeek: Best for Chinese markets (e.g., Baidu SEO, WeChat posts).

Strengths: Slang, idioms, and local trends.

Weakness: Struggles with Western metaphors.

SEO Tip: Use keywords like "Best AI for Chinese content" or "DeepSeek Baidu SEO."

2. Technical Abilities

Coding:

ChatGPT: Solves Python/JavaScript errors, writes clean code.

DeepSeek: Better at Alibaba Cloud APIs and Chinese frameworks.

Data Analysis:

Both handle spreadsheets, but DeepSeek integrates with Tencent Docs.

3. Pricing & Accessibility

FeatureDeepSeekChatGPTFree TierUnlimited basic queriesGPT-3.5 onlyPro Plan$10/month (advanced Chinese tools)$20/month (GPT-4 + plugins)APIsCheaper for bulk Chinese tasksGlobal enterprise support

SEO Keyword: "DeepSeek pricing 2024."

Debunking the "Fake AI" Myth: 3 Case Studies

Case Study 1: A Shanghai e-commerce firm used DeepSeek to automate customer service on Taobao, cutting response time by 50%.

Case Study 2: A U.S. blogger called DeepSeek "fake" after it wrote a Chinese-style poem about pizza—but it went viral in Asia!

Case Study 3: ChatGPT falsely claimed "Google acquired OpenAI in 2023," proving all AI makes mistakes.

How to Choose: DeepSeek or ChatGPT?

Pick ChatGPT if:

You need English content, coding help, or global trends.

You value brand recognition and transparency.

Pick DeepSeek if:

You target Chinese audiences or need cost-effective APIs.

You work with platforms like WeChat, Douyin, or Alibaba.

LSI Keyword: "DeepSeek for Chinese marketing."

SEO-Optimized FAQs (Voice Search Ready!)

"Is DeepSeek a scam?" No! It’s a legitimate AI optimized for Chinese-language tasks.

"Can DeepSeek replace ChatGPT?" For Chinese users, yes. For global content, stick with ChatGPT.

"Why does DeepSeek give weird answers?" Cultural gaps and training focus. Use it for specific niches, not general queries.

"Is DeepSeek safe to use?" Yes, but avoid sensitive topics—it follows China’s internet regulations.

Pro Tips to Boost Your Google Ranking

Sprinkle Keywords Naturally: Use "DeepSeek vs ChatGPT" 4–6 times.

Internal Linking: Link to related posts (e.g., "How to Use ChatGPT for SEO").

External Links: Cite authoritative sources (OpenAI’s blog, DeepSeek’s whitepapers).

Mobile Optimization: 60% of users read via phone—use short paragraphs.

Engagement Hooks: Ask readers to comment (e.g., "Which AI do you trust?").

Final Verdict: Why DeepSeek Isn’t Fake (But ChatGPT Isn’t Perfect)

The "fake" label stems from cultural bias and misinformation. DeepSeek is a powerhouse in its niche, while ChatGPT rules Western markets. For SEO success:

Target long-tail keywords like "Is DeepSeek good for Chinese SEO?"

Use schema markup for FAQs and comparisons.

Update content quarterly to stay ahead of AI updates.

🚀 Ready to Dominate Google? Share this article, leave a comment, and watch it climb to #1!

Follow for more AI vs AI battles—because in 2024, knowledge is power! 🔍

[trickster-kat]

Hey there! I'm reaching out to share an important cause—our beloved pizza place is at risk of closing, and I'm stepping in as the new owner to save it! Your support means the world, and even a small donation can make a big difference; please consider clicking the link below to help keep our community favorite alive, or share it with friends who might want to help too. Thank you! https://gofund.me/868cfebb

[fraoula1]

𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝐀𝐈 𝐋𝐞 𝐂𝐡𝐚𝐭: 𝐓𝐡𝐞 𝐅𝐚𝐬𝐭𝐞𝐬𝐭 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐄𝐯𝐞𝐫? 1,000 𝐖𝐨𝐫𝐝𝐬 𝐏𝐞𝐫 𝐒𝐞𝐜𝐨𝐧𝐝!

Mistral AI has unveiled Le Chat, an incredibly fast AI assistant capable of processing 1,000 words per second! 🚀 This groundbreaking technology is set to revolutionize virtual assistants with lightning-fast responses, advanced language understanding, and seamless multitasking.

In this video, we explore:

✅ How speed enhances AI assistance

✅ Key features like natural language understanding & multitasking

✅ The benefits of Le Chat for productivity, customer support, and education

✅ What the future holds for AI-powered assistants

Watch https://youtube.com/shorts/ohR_-V6g9R0

🔔 Subscribe for the latest AI innovations!

[pilog-group]

Future of AI 2025: Key AI Predictions for 2025 by Dr. Imad Syed | PiLog Group

Artificial Intelligence (AI) is rapidly transforming every sector, from healthcare to manufacturing, finance, and beyond. As we look ahead to 2025, the integration of AI into business and everyday life is set to redefine innovation and productivity.

In a recent insightful video, Dr. Imad Syed, a renowned thought leader and digital transformation expert, shares his predictions about the future of AI in 2025 and what businesses must prepare for.

Watch Dr. Imad Syed’s Predictions on AI 2025 Here:

Key Insights on the Future of AI by Dr. Imad Syed

AI and Human Collaboration: AI will not replace humans but enhance their capabilities, enabling smarter decision-making and better productivity.

2. Personalized AI Experiences: From customer service to healthcare, AI will offer hyper-personalized experiences tailored to individual needs.

3. Ethics and AI Governance: With AI becoming deeply integrated into society, ethical considerations and governance frameworks will play a critical role.

4. AI in Cybersecurity: AI will become central in predicting, preventing, and managing cybersecurity threats.

5. AI in Business Automation: Industries will leverage AI-driven automation to streamline operations and reduce costs.

Why You Should Care About These Predictions?

Understanding the future of AI is not just for tech enthusiasts — it’s a strategic advantage for business leaders, entrepreneurs, and decision-makers. Dr. Imad Syed’s insights provide a roadmap for adapting and thriving in a world powered by AI.

If you’re in technology, business management, or innovation strategy, this video is a must-watch.

Gain Exclusive Insights Now: Future of AI 2025 — Dr. Imad Syed

Global Impact of AI by 2025

By 2025, AI will: 1. Create smarter supply chains and logistics. 2. Revolutionize healthcare with predictive diagnostics. 3. Improve environmental sustainability through smart energy solutions. 4. Drive unparalleled innovation in financial services.

The future is AI-driven, and staying informed about these trends is the key to leading, not following.

Final Thoughts: Prepare for an AI-Powered Future

Dr. Imad Syed’s predictions are not just forecasts — they are action points for businesses and individuals who want to stay ahead of the curve.

Don’t miss this chance to gain valuable insights from a global leader in AI and digital transformation.

Watch Now: Future of AI 2025 — Dr. Imad Syed

Let us know your thoughts and predictions in the comments below. Are you ready for the AI revolution?

[raffaellopalandri]

The Neuro-Linguistic Architectures of Tacit Knowledge Emergence in Large Language Models: A Comparative Analysis with Human Cognition and Buddhist Epistemology

Whatever side you are on, we are witnessing a burgeoning of artificial intelligence, particularly in the advancements in Large Language Models (LLMs), which compels a re-evaluation of fundamental epistemological questions concerning knowledge acquisition, especially the elusive domain of tacit knowledge. Photo by Google DeepMind on Pexels.com This short post will delve into the neuro-linguistic…

[pdb-mix]

How to Build AI-Powered Mobile Apps: AI powered mobile apps have revolutionized how we interact with technology. From personal assistants like Siri to recommendation engines on e-commerce platforms, AI in mobile apps offers unparalleled convenience and efficiency. But building such an app requires a structured approach, combining technical expertise with creativity. 

[precallai]

Smarter Support: How AI is Enhancing Call Center Operations

Introduction

The call center industry has long been a critical component of customer service, bridging the gap between businesses and consumers. However, with growing customer expectations and an increasing volume of inquiries, traditional call center models have struggled to keep pace. The integration of Artificial Intelligence (AI) has emerged as a game-changer, transforming call center operations into more efficient, cost-effective, and customer-centric platforms.

The Role of AI in Call Centers

AI-powered technologies are revolutionizing call centers by automating repetitive tasks, enhancing customer interactions, and improving overall operational efficiency. AI-driven solutions, such as chatbots, virtual assistants, speech analytics, and predictive analytics, have redefined how businesses handle customer support.

AI-Powered Chatbots and Virtual Assistants

One of the most significant AI-driven innovations in call centers is the deployment of chatbots and virtual assistants. These AI systems can handle a vast range of customer queries without human intervention, providing instant responses and reducing wait times. Unlike traditional interactive voice response (IVR) systems, modern AI-powered assistants use natural language processing (NLP) to understand and respond to customer inquiries in a conversational manner.

Key benefits of AI chatbots include:

24/7 availability, ensuring customers receive support at any time.

Reduced workload for human agents, allowing them to focus on complex queries.

Consistent and accurate responses, minimizing the risk of misinformation.

Speech Analytics and Sentiment Analysis

AI-driven speech analytics enables call centers to analyze customer interactions in real-time. By processing voice data, AI can detect customer sentiment, stress levels, and even emotional cues. This information helps agents tailor their responses appropriately, improving the overall customer experience.

Advantages of speech analytics include:

Identifying dissatisfied customers for proactive engagement.

Improving agent performance through real-time coaching and feedback.

Enhancing compliance monitoring by ensuring adherence to scripts and regulatory guidelines.

Predictive Analytics and AI-Driven Insights

Predictive analytics is another powerful AI application in call centers. By analyzing historical data and customer behavior, AI can anticipate customer needs and suggest appropriate responses. This enables businesses to personalize interactions and proactively address potential issues before they escalate.

Benefits of predictive analytics include:

Reducing call volumes by predicting and resolving issues before they arise.

Enhancing customer satisfaction through proactive outreach.

Optimizing workforce management by forecasting call volume trends and staffing needs.

Intelligent Call Routing

AI enhances call routing by ensuring customers are connected to the most suitable agents based on their queries, language preferences, and past interactions. Intelligent call routing minimizes wait times and improves first-call resolution rates.

Advantages of intelligent call routing include:

Faster issue resolution by directing calls to the right agents.

Improved customer satisfaction through personalized interactions.

Increased efficiency by reducing call transfers and wait times.

Automated Quality Assurance

Traditionally, call center quality assurance (QA) required manual review of call recordings. AI-driven QA systems automate this process by analyzing every interaction for compliance, tone, and resolution effectiveness. AI ensures that quality standards are consistently met without the need for extensive human oversight.

Benefits of automated QA include:

Faster and more accurate evaluation of agent performance.

Identification of training opportunities to enhance service quality.

Increased compliance with industry regulations and best practices.

Challenges of AI Implementation in Call Centers

Despite its numerous benefits, AI adoption in call centers comes with challenges. These include:

Integration with Legacy Systems: Many call centers operate on outdated infrastructure that may not seamlessly integrate with AI solutions.

Data Privacy and Security Concerns: AI systems rely on large amounts of data, raising concerns about data protection and compliance with privacy regulations.

Customer Resistance to AI: Some customers prefer human interactions over automated responses, necessitating a balanced approach to AI deployment.

Initial Implementation Costs: While AI can reduce long-term operational costs, the initial investment in AI technology can be significant.

The Future of AI in Call Centers

The future of AI in call centers is promising, with continuous advancements in machine learning, NLP, and automation technologies. Businesses will increasingly adopt AI-powered solutions to enhance customer experiences while optimizing operational efficiency. Emerging trends include:

Hyper-Personalization: AI will analyze vast amounts of customer data to deliver highly personalized interactions.

Augmented Agents: AI will work alongside human agents, providing real-time suggestions and insights to improve response quality.

AI-Driven Self-Service: More businesses will adopt AI-powered self-service portals, reducing the need for direct agent interactions.

Conclusion

AI is revolutionizing call center operations by improving efficiency, reducing costs, and enhancing customer satisfaction. From chatbots and speech analytics to predictive insights and intelligent call routing, AI-driven solutions are setting new standards in customer support. While challenges remain, businesses that strategically implement AI in their call centers will gain a competitive edge in delivering smarter, faster, and more personalized customer service experiences.

Summary:-

AI is transforming call centers by automating tasks, improving efficiency, and enhancing customer experiences. Chatbots and virtual assistants provide instant support, while speech analytics detects sentiment for better interactions. Predictive analytics personalizes service and reduces call volumes. AI-driven call routing and quality assurance optimize operations. Despite challenges, AI is shaping the future of smarter customer support.

[thesarkariyojna]

Convert Text to VDB AI: A Beginner's Guide to Data Representation

Hey today we discuss how to leverage Text to VDB AI in data science, achieving up to 100x reduction in memory footprint for efficient data representation with artificial intelligence. Vector databases (VDBs) are a game-changer for managing data, especially when it comes to artificial intelligence (AI) and data science applications. Imagine turning your words into a format that lets AI understand…

[ajaydmr]

Global Insurance Chatbot Market is expected to surge a value of USD 5,238.4 million by 2033 at a CAGR of 24.4%.

Global Insurance Chatbot Market: An In-Depth Analysis

Market Overview

The Global Insurance Chatbot Market is experiencing remarkable growth, driven by the increasing demand for automation and AI-powered customer service solutions in the insurance sector. In 2024, the market size is expected to reach USD 736.8 million and is anticipated to grow exponentially, reaching USD 5,238.4 million by 2033, at a CAGR of 24.4%. This robust growth trajectory is fueled by advancements in technology, changing consumer expectations, and the rising need for operational efficiency among insurers.

Global Insurance Chatbot Market Growth Analysis

Factors Driving Market Expansion

The adoption of AI technologies in the insurance sector has transformed traditional customer service. Insurance chatbots, powered by sophisticated algorithms, facilitate 24/7 customer support, expedite claims processing, and enhance user experiences. These AI-driven systems are not just tools but essential components that streamline routine activities such as answering queries, claims management, and sales inquiries.

Key drivers propelling the growth of the Global Insurance Chatbot Market include:

Visit Here for a Free PDF Sample Copy@ https://dimensionmarketresearch.com/report/insurance-chatbot-market/request-sample

Regional Insights

North America holds the largest share of the global insurance chatbot market, driven by advanced technological infrastructure and high investments in AI solutions. Following North America, Europe and the Asia-Pacific regions also show significant growth potential, attributed to the increasing digitization in the insurance industry and rising customer expectations for immediate service.

Despite the growth, concerns regarding data privacy and security persist. Insurers must navigate these challenges to ensure consumer trust and regulatory compliance.

The US Insurance Chatbot Market

Market Dynamics

The US Insurance Chatbot Market is projected to be valued at USD 151.2 million in 2024, with expectations to grow to USD 965.1 million by 2033, achieving a CAGR of 22.9%. U.S. insurance companies are at the forefront of adopting advanced AI technologies, and the integration of chatbots into their digital platforms enhances operational efficiency significantly.

Growth Factors

Challenges in the US Market

While the potential for growth is substantial, regulatory concerns regarding data protection pose significant challenges for widespread adoption. Insurers need to develop strategies that align with evolving regulations while maintaining customer trust.

Market Dynamics

Trends

AI-Powered Personalization

The trend of AI-driven personalization is rapidly gaining traction in the insurance chatbot market. Insurers utilize sophisticated algorithms to analyze customer preferences, enabling chatbots to deliver highly personalized experiences. This not only improves customer engagement but also fosters loyalty.

Omnichannel Integration

Omnichannel integration allows insurance companies to interact with customers across various platforms, including websites, mobile applications, and messaging services like WhatsApp. This approach enhances the customer experience and streamlines operations.

Voice-Assisted AI Integration

Voice-based AI integration is emerging within the insurance sector, allowing customers to engage with insurers through smart speakers like Amazon Echo and Google Home. This innovation simplifies interactions, catering to tech-savvy consumers seeking hassle-free experiences.

Growth Drivers

Growth Opportunities

Expansion into Emerging Markets

Regions like Asia-Pacific, Latin America, and Africa present significant growth opportunities for insurance chatbots. Increased internet penetration and mobile adoption in these markets enable insurers to offer 24/7 customer support, reaching previously underserved populations.

Advances in NLP

Continuous advancements in NLP technology enhance the capabilities of chatbots, allowing them to handle more complex customer queries and engage in human-like conversations, further improving customer satisfaction.

Integration with Blockchain

Integrating chatbots with blockchain technology can revolutionize claims processing by offering secure and transparent transaction records. This innovation can enhance operational efficiency and build customer trust.

Restraints

Data Privacy and Security Concerns

The handling of sensitive customer data by chatbots raises significant concerns regarding privacy and security. Insurers must ensure compliance with data protection regulations, such as GDPR and HIPAA, to avoid severe repercussions from data breaches.

Limited Ability to Handle Complex Queries

While chatbots excel at managing routine inquiries, their inability to navigate complex or emotionally sensitive situations can lead to customer dissatisfaction. Insurers must balance automation with human support for high-stakes interactions.

High Initial Implementation Costs

The high upfront costs associated with developing and implementing AI-powered chatbots can deter small and medium-sized insurers from adoption. Ongoing maintenance and updates further add to the financial burden.

Research Scope and Analysis

Market Segmentation

By Type

By User Interface

The text-based user interface is projected to hold 73.1% of the market share in 2024. Its familiarity and ease of use make it the preferred choice for both insurers and customers. This interface allows for asynchronous communication, enabling multitasking and a more comfortable interaction experience.

Regional Analysis

North America

North America is set to dominate the global insurance chatbot market, expected to hold 73.1% of total revenue by the end of 2024. The region’s advanced technological infrastructure and high adoption rates of AI solutions are pivotal in this growth.

Conclusion

The Global Insurance Chatbot Market is poised for significant growth as insurers increasingly recognize the importance of automation and customer-centric solutions. With advancements in AI, NLP, and omnichannel integration, chatbots are becoming indispensable tools for enhancing customer service and operational efficiency. Despite challenges related to data privacy and implementation costs, the opportunities for growth in emerging markets and advancements in technology present a promising outlook for the industry.

FAQs

1. What is the expected market size of the Global Insurance Chatbot Market by 2033?

The Global Insurance Chatbot Market is anticipated to reach a value of USD 5,238.4 million by 2033.

2. What factors are driving the growth of the insurance chatbot market?

Key factors include the increasing demand for automation, rising customer expectations for 24/7 service, and advancements in AI technologies.

3. Which region holds the largest share in the insurance chatbot market?

North America currently dominates the market, driven by advanced technological infrastructure and high adoption rates of AI-driven solutions.

4. What are some of the key challenges faced by the insurance chatbot market?

Major challenges include data privacy concerns, the limited ability of chatbots to handle complex queries, and high initial implementation costs.

5. How do insurance chatbots enhance customer experience?

Insurance chatbots provide real-time responses to customer inquiries, automate routine tasks, and offer personalized interactions, thereby improving overall customer satisfaction.

The Global Insurance Chatbot Market represents a pivotal shift in how insurers engage with customers and streamline operations, setting the stage for a more efficient and customer-focused future in the industry.

[meelsport]

How AI is Revolutionizing Voice Search Technology

The Hidden Link Between AI Voice Search and SEO: What You Need to Know AI-powered voice search is revolutionizing how users interact with technology, turning searches into seamless, conversational experiences.

Voice search is transforming how we interact with technology, turning searches into effortless conversations. No more typing—just speak to your device, and AI does the rest. In this blog, we’ll explore the evolution of voice search. We’ll discuss how AI powers it and why businesses must adapt to stay competitive. The Evolution of AI Voice Search Technology AI voice search technology has come a…

[thewitchswell]

What are AI tools similar to, according to tech professionals in 2024?

Hey, tech enthusiasts! 🚀 Loved the AI buzz? 🤖 Let's keep exploring the future together. Upvote, follow, and share the AI love! ❤️ #TechTrends #AIFuture

Alright, buckle up folks, because we’re about to embark on an exhilarating journey through the tech world of 2024! AI Tools: The Magic Wands of the Digital Age 🧙‍♂️✨ Tech professionals today are buzzing about AI tools. They compare them to fantastical objects that ignite our imagination. These tools reshape our reality. Think of them as… Supercharged Swiss Army Knives: They’re incredibly…

[townpostin]

RVS College of Engineering and Technology Inaugurates AI Skills Lab in Partnership with Dell and Intel

New AI Skills Lab at RVS College of Engineering and Technology, Jamshedpur, aims to enhance digital education and prepare students for future challenges. In a significant step towards innovative education, RVS College of Engineering and Technology, Jamshedpur, has partnered with Dell Technologies and Intel Corporation to inaugurate an advanced AI Skills Lab. JAMSHEDPUR – RVS College of…

[themindpowerindia]

Navigate Your Life with Better Future: Adapting with NLP in a Dynamic World

NLP offers powerful techniques to transform your thoughts, communication, and actions for a fulfilling future. Learn how NLP can change your life! https://themindpower.in/blog/designing-your-life-with-nlp-creating-a-better-future/

[newspatron]

Chat GPT-4o: The AI Revolution Unveiled

What do you think of Chat GPT-4o? Share your thoughts and experiences in the comments!

Close all those open tabs in your browser (and mobile apps!), because things are about to get seriously interesting in the world of AI. OpenAI has just unveiled GPT-4o, and it’s not just an upgrade – it’s a game-changer. Picture this: an AI that understands not only your words but also your voice, your photos, and even your videos. It’s like stepping into the future, and it’s all happening right…

[fandomtrumpshate]

FTH 2025 Donation Totals

Friends, this has been an extraordinary year for the auction. We know how and why this happened: like in early 2017, everyone is scared and upset and looking for a way to do something meaningful.

And—just like in 2017, and every year since—hundreds of us have stepped up to support our most vulnerable neighbors and the organizations working to protect them.

Except this year, we did it on a scale we've never done before.

Last year, our donation total was an incredible $67,776.28

This year's donation total...

are you ready for it....

(you're not ready for it. we weren't.)

This year's donation total is:

Yes, you're reading that right. $127,204.11

We're flummoxed too—and deeply grateful to everyone who has poured their time and effort and money and love into participating in the auction this year, and into the fanworks that will come from it.

If you're curious about how those donations were distributed across the different organizations, here is the breakdown (this breakdown doesn't include employer match donations, which is why the total is a little lower):

Bellingcat: $2,636.19

Congo Leadership Initiative: $2,842

Crips for esims for Gaza: $4,762.60

Disability Law United: $3,835.39

Environmental Integrity Project: $3,712

Fight for the Future Education Fund: $3,108

Freedom to Read Foundation: $7,139.50

Global Project Against Hate and Extremism: $6,473

Hope for Ukraine: $12,613.93

In Our Own Voice: National Black Women's Reproductive Justice Agenda: $3,626

Middle East Children's Alliance: $13,572.43

National Network to End Domestic Violence: $4,999.95

Never Again Action: $4,555

NLP: $3,745.16

Young Center for Immigrant Children’s Rights: $10,072.56

Umbrella: organizations serving vulnerable LGBTQ people

Brave Space Alliance: $2,558

Kentucky Health Justice Network Inc: $2,636

Sherlock's Homes: $7,780.77

TransFamily Support: $5,387.01

TransQueerPueblo: $2,949

Other local LGBT organizations: $10,696.71 Yes, you're reading that right again. Three orgs AND the cumulative Other local LGBT orgs broke five figures.

We're especially delighted because, for the first time, the umbrella category worked the way we've always hoped it would! As you can see above, significant numbers of people used the umbrella category as a way to connect to an organization local to them.

As we learned through people's comments on the donation form, some people donated to organizations they were already familiar with (and in some cases had already donated to, or even volunteered at); others used this as a reason to learn more about their local organization and support them.

We'll share more about the "other umbrella" donations over the next few weeks—some more detailed stats, as well as the names of some of the local orgs that people donated to—and we'll invite those of you who connected up with local orgs to share your stories. We love that so many people took this chance to support groups working in their own community, and we hope that we can keep that going next year and beyond!

And speaking of the future!

Now is a great time to follow @fth2025fanworks. We'll use that blog to share any auction fanwork that gets posted to tumblr.

We urge you to keep up with the organizations you supported this year (and the others on our list!) Follow them on social media, subscribe to their newsletters, whatever works best for you. It will enable you to keep an eye on the good work you've helped support, and to find out quickly when these orgs need some extra support, financial or otherwise.

And if you're looking out at the world and feeling the itch to do more, here are some possibilities:

Follow @fthaction, the meatspace activism wing of FTH. We relaunched this project in the weeks between the end of signups and the beginning of browsing period, sharing some reading lists, an individualized activism bingo card, and an AMA with activist and organizer Kat Calvin. (We also did a test-flight AMA with ourselves, talking about the auction.) We'll probably need some time to recover from this year's auction, but we'll be back soon with more resources to share, more AMAs, and more tools for exploring all the different forms that meaningful activism can take and for figuring out which ones are right for you.

Organize your own auction! We've put together a detailed playbook that contains that contains as much information and as many resources as we can provide for getting an auction off the ground, including detailed guides. Almost everything in the playbook is fully public; there are a few forms that are access-locked because google has stupid ideas about sharing forms, but we're happy to give you access to those, too: just drop us an email.

Over here at FTH headquarters we are all in need of a long nap. But we'll be back in a couple of weeks, as promised, to share more about the umbrella orgs and to dig back into @fthaction to see what's possible.

Looking forward to a whole bunch of new fanworks! <3 your FTH mods

[intelvueofficial]

The comprehensive resource "The Ultimate Guide to Conversational AI in 2023" explores the most recent developments and uses of conversational artificial intelligence. This study examines the leading technologies, industry standards, and practical use cases that characterize the conversational AI environment in 2023, from chatbots to voice assistants. Learn how organizations and sectors are using these potent technologies to improve client experiences, streamlined processes, and communication revolution. This guide offers priceless insights and useful knowledge to stay at the forefront of this quickly growing subject, whether you're a developer, entrepreneur, or simply inquisitive about the future of AI-driven interactions.

Read More: https://www.intelvue.com/the-ultimate-guide-to-conversational-ai-in-2023/