#AI audio content

[youmakely]

Unlock your creative superpowers with AI prompting! ⚡ Whether you're a blogger, YouTuber, or solopreneur, learn how to craft perfect AI prompts for stunning content and visuals — fast, easy, and fun. Dive in and level up your creativity today! 🚀 #AI #ContentCreation #DigitalMarketing

[trappezoider]

Horsing Around

A wholesome little audio drama of a farm boy Sebastian teaching Ominis how to ride a horse, muggle AU. Made this aaaaages ago, together with @waywardprintmaker and @silasbug, the cute art was done by Printmaker😭 Non-profit, just made for free for fans by fans. (p.s.: I take no responsibility for the quality of the mixing xD)

[bhawaybhalla]

AI Music Journey: Main Akele Mein Kuch Bana Raha Tha... Ab Hazaron Log Use Sun Rahe Hain (But Nobody Knew This Secret!)

Bhaway Beats Ki Kahani Yahan Se Shuru Hoti Hai (AI Music Journey Begins) Kabhi socha hai? Ek banda apne kamre mein akela baitha hota hai, sir pe headphones, saamne laptop… koi nahi jaanta woh kya kar raha hai. Na koi mic, na studio… bas kuch toh create kar raha hai. Main woh banda tha. Log kehte the — “Kya timepass kar raha hai tu?” Par main ek alag hi duniya mein tha. Aaj? Hazaron log meri…

[copsecore]

controversial take but stop creating/using redacted character ai bots cool okay thanks

[jcmarchi]

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

New Post has been published on https://thedigitalinsider.com/moments-lab-secures-24-million-to-redefine-video-discovery-with-agentic-ai/

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

Moments Lab, the AI company redefining how organizations work with video, has raised $24 million in new funding, led by Oxx with participation from Orange Ventures, Kadmos, Supernova Invest, and Elaia Partners. The investment will supercharge the company’s U.S. expansion and support continued development of its agentic AI platform — a system designed to turn massive video archives into instantly searchable and monetizable assets.

The heart of Moments Lab is MXT-2, a multimodal video-understanding AI that watches, hears, and interprets video with context-aware precision. It doesn’t just label content — it narrates it, identifying people, places, logos, and even cinematographic elements like shot types and pacing. This natural-language metadata turns hours of footage into structured, searchable intelligence, usable across creative, editorial, marketing, and monetization workflows.

But the true leap forward is the introduction of agentic AI — an autonomous system that can plan, reason, and adapt to a user’s intent. Instead of simply executing instructions, it understands prompts like “generate a highlight reel for social” and takes action: pulling scenes, suggesting titles, selecting formats, and aligning outputs with a brand’s voice or platform requirements.

“With MXT, we already index video faster than any human ever could,” said Philippe Petitpont, CEO and co-founder of Moments Lab. “But with agentic AI, we’re building the next layer — AI that acts as a teammate, doing everything from crafting rough cuts to uncovering storylines hidden deep in the archive.”

From Search to Storytelling: A Platform Built for Speed and Scale

Moments Lab is more than an indexing engine. It’s a full-stack platform that empowers media professionals to move at the speed of story. That starts with search — arguably the most painful part of working with video today.

Most production teams still rely on filenames, folders, and tribal knowledge to locate content. Moments Lab changes that with plain text search that behaves like Google for your video library. Users can simply type what they’re looking for — “CEO talking about sustainability” or “crowd cheering at sunset” — and retrieve exact clips within seconds.

Key features include:

AI video intelligence: MXT-2 doesn’t just tag content — it describes it using time-coded natural language, capturing what’s seen, heard, and implied.

Search anyone can use: Designed for accessibility, the platform allows non-technical users to search across thousands of hours of footage using everyday language.

Instant clipping and export: Once a moment is found, it can be clipped, trimmed, and exported or shared in seconds — no need for timecode handoffs or third-party tools.

Metadata-rich discovery: Filter by people, events, dates, locations, rights status, or any custom facet your workflow requires.

Quote and soundbite detection: Automatically transcribes audio and highlights the most impactful segments — perfect for interview footage and press conferences.

Content classification: Train the system to sort footage by theme, tone, or use case — from trailers to corporate reels to social clips.

Translation and multilingual support: Transcribes and translates speech, even in multilingual settings, making content globally usable.

This end-to-end functionality has made Moments Lab an indispensable partner for TV networks, sports rights holders, ad agencies, and global brands. Recent clients include Thomson Reuters, Amazon Ads, Sinclair, Hearst, and Banijay — all grappling with increasingly complex content libraries and growing demands for speed, personalization, and monetization.

Built for Integration, Trained for Precision

MXT-2 is trained on 1.5 billion+ data points, reducing hallucinations and delivering high confidence outputs that teams can rely on. Unlike proprietary AI stacks that lock metadata in unreadable formats, Moments Lab keeps everything in open text, ensuring full compatibility with downstream tools like Adobe Premiere, Final Cut Pro, Brightcove, YouTube, and enterprise MAM/CMS platforms via API or no-code integrations.

“The real power of our system is not just speed, but adaptability,” said Fred Petitpont, co-founder and CTO. “Whether you’re a broadcaster clipping sports highlights or a brand licensing footage to partners, our AI works the way your team already does — just 100x faster.”

The platform is already being used to power everything from archive migration to live event clipping, editorial research, and content licensing. Users can share secure links with collaborators, sell footage to external buyers, and even train the system to align with niche editorial styles or compliance guidelines.

From Startup to Standard-Setter

Founded in 2016 by twin brothers Frederic Petitpont and Phil Petitpont, Moments Lab began with a simple question: What if you could Google your video library? Today, it’s answering that — and more — with a platform that redefines how creative and editorial teams work with media. It has become the most awarded indexing AI in the video industry since 2023 and shows no signs of slowing down.

“When we first saw MXT in action, it felt like magic,” said Gökçe Ceylan, Principal at Oxx. “This is exactly the kind of product and team we look for — technically brilliant, customer-obsessed, and solving a real, growing need.”

With this new round of funding, Moments Lab is poised to lead a category that didn’t exist five years ago — agentic AI for video — and define the future of content discovery.

[legacygirlingreen]

Aesop Sharp audio x listener

Detour from my regularly scheduled content. I’m working on strumming hearts pt 2 I promise!

But I gotta give some love to one of my fav humans on the planet. You are appreciated and you are loved. you are so freaking intelligent and speak with eloquence. You lack any ounce of pride and have such a compassionate and empathetic soul. And if you were in hogwarts legacy that grumpy professor would be falling over you I’m telling ya… Truly don’t know what I’d do without you @strawberrypinky 💚

That being said anyone is welcome to take a listen to. I don’t make Aesop Sharp content but for my bestie I’d do anything. If the potions man floats your boat , take a sec to listen, if not it’s back to Sebastian content soon!

Song: “invisible string” by the LOVELY and amazing Taylor Swift (covered on the violin found here)

Poem: “my undeniable miracle” by John mark green

[kyuairyeo]

Yanma might have better rizz but Rita ended him by making Hyemno being satisfied with the needs

[osterby]

I guess "I like writing too much" comes closest, but the question is a bit flawed. It posits that using AI is more or less the same thing as writing/drawing, and that the text/images produced by the creative process are the end goal and main point of writing/drawing.

But that's not quite the case. Writing is a thing I do on purpose. The stories I write are creations of my own, that express my interests and/or skill.

It's not just that I enjoy writing, it's that writing is a thing that I do.

If AI was 100% ethical and machine generated text was as pleasant and interesting to read as human written text, I might generate some text to read for fun. But I would not consider that to be the same activity as writing, nor would I consider the output to be the same sort of thing as my own stories.

I wouldn't want a machine to watch movies for me or go on walks in nice weather for me or eat my dessert for me or talk to my cat for me, either.

Fancreators who never plan to use AI: what is your primary reason?

I think AI is plagarism

I think AI is bad for the environment

I think AI would do a worse job than I could

I don't want people to judge me

I like writing/drawing too much to let AI do it for me

Other

Not a fancreator/ I do use AI/ see results

[kampalaedgetimes]

Google Veo 3 AI Bible Characters just Broke the Internet

[widedevsolution1]

Generative AI Goes Multimodal: The Next Evolution in Creative Intelligence

Introduction to Generative AI Going Multimodal

The latest frontier in Generative AI is multimodality—the ability to produce and understand text, images, audio, and video within a unified workflow. Tools such as ChatGPT, Sora, and Gemini now transcend single-mode capabilities, ushering in a new era of multimodal platforms with transformative potential for industries including education, media, design, and entertainment.

At WideDevSolution (https://widedevsolution.com), we explore how this trend accelerates AI content generation, shifts creative paradigms, and enhances real-world business applications.

2. What Is a Multimodal Platform?

A multimodal platform merges multiple sensory AI inputs and outputs—allowing users to input text and images, and receive integrated outputs such as narrated videos with generated visuals.

Single-mode AI (e.g., GPT‑4‑text-only) excels at text.

Multimodal systems handle cross-media tasks: generate images from prompts, write scripts, synthesize speech, animate videos—within a single session.

These platforms not only understand context across formats but also produce coherent, creative content tailored to varied professional needs.

3. Core Capabilities Driving Generative AI Innovation

A. Text Generation

Natural language generation remains the foundation—crafting blog posts, scripts, call-to-action copy, personalized outreach, and customer support dialogues.

B. Image Creation

From static visuals to charts, mockups, and illustrations, integrated image generation enhances storytelling and visual communication.

C. Audio & Speech Synthesis

Text-to-speech systems now deliver natural, expressive, voiceovers for e‑learning, accessibility, and marketing—complete with dynamic tone control.

D. Video Production

Generating animated scenes, product demos, training materials, and social media content—all from text or image prompts—without complex production tools.

4. Industry-Wide Impact of Multimodal Generative AI

4.1 Education & e‑Learning

Automatically generated lessons combine text, diagrams, narrated examples, and interactive visual aids.

Personalized content adapts to learning styles—visual, auditory, textual—for different student profiles.

4.2 Media & Journalism

Newsrooms can auto-generate visualizations, voice-read summaries, and short video clips, reducing production time and costs.

Enables hyper-local, niche content viability through low-cost, multimodal creation pipelines.

4.3 Design & Marketing

Efficient creative workflows: generate an ad concept that includes draft image, copy variants, voiceover, and motion effect.

Personalized marketing assets at scale—different versions optimized for demographics or platforms.

4.4 Entertainment & Content Production

Rapid prototyping of animated shorts, music beds, storyboards, and concept art.

Indie creators gain AAA-level tools to produce compelling content without large studios.

5. Key Benefits of AI Content Generation via Multimodal Platforms

Faster Time to Market – Create multimedia content in minutes, not days.

Cost-Efficiency – Significant savings on design, voice talent, and video editing.

Scalability – Generate tailored versions for language, region, age group.

Accessibility – Text-to-speech capabilities broaden reach for visually/aurally impaired users.

Creative Amplification – Generates ideation seeds, reduces creative block, boosts experimentation.

6. Challenges & Responsible Adoption

Quality Control & Authenticity: Ensuring generated content is accurate, consistent, and non-misleading.

Bias & Ethical Use: Preventing stereotypes in synthetic voices and visuals.

Intellectual Property Rights: Distinguishing user content versus AI-generated components.

Compliance: Navigating privacy, deepfake, and content-moderation regulations.

WideDevSolution guides companies through these challenges via explainable-AI audits, bespoke ethical frameworks, and integration pipelines.

7. High-Profile Endorsements

Sundar Pichai, CEO, Google & Alphabet: “We’re on the cusp of AI tools that can see, hear, speak, and understand.”

Sam Altman, CEO, OpenAI: “Multimodal AI is a foundational leap—it’s not just smarter text; it’s richer perception.”

Demis Hassabis, Cofounder, DeepMind: “When AI grasps the world through vision, sound, and language together, its capabilities expand dramatically.”

These insights underscore that Generative AI evolution is shaping next-gen creative intelligence.

8. Technical Innovations Behind Multimodal Progress

Multimodal Transformer Architectures (e.g., GPT-4v, CLIP, Flamingo) combine modalities in shared representations.

Unified Training Datasets mix text, image, audio, and video, allowing cross-modal learning.

Efficient Fine-Tuning enables domain-specific performance (e‑learning, marketing, creative arts).

Edge Deployment & APIs make integration smoother for businesses and developers.

9. Implementation Guide for Enterprises (via WideDevSolution)

Content Audit & Planning

Map content needs: blogs, course modules, ads, social formats.

Select the Right Platform

Compare GPT‑4v, Gemini, Sora, LLaVA, etc., for modality quality, integration, API access.

Pilot a Workflow

Prototype a short video ad or educational lesson under budget and review metrics.

Integrate Securely

Embed into CMS, LMS, DAM systems with role-based access and versioning.

Test & QC

Human review to ensure brand voice, visual accuracy, language localization.

Scale & Optimize

Build adaptability: support automated updates, A/B test variants, track performance, retrain.

10. Measuring ROI & Performance

Time Saved: Hours per asset vs manual production

Cost Reductions: Talent, voiceover, editing fees

Engagement Metrics: Click‑through, watch‑time, completion %

Localization: Support for multiple languages with consistent quality

Quality Surveys: Human evaluation for authenticity and satisfaction

11. The Future of Multimodal Creativity

Interactive AI Assistants: Users upload drafts—AI transforms them into podcasts, social shorts, or narrated slideshows.

AI Storytelling: Systems craft entire narratives with visuals, voiceovers, and emotional tone cues.

Augmented Reality / Virtual Reality (AR/VR): On-the-fly environment generation from simple prompts.

User-Centric Creativity: Professionals focus on ideation while AI handles seamless generation.

12. Conclusion

The transformation of Generative AI into multimodal platforms marks a watershed in innovative content creation. From personalized learning modules and hyper-efficient media production to creative marketing campaigns and immersive entertainment, this evolution is reshaping how stories are told and consumed.

At WideDevSolution (https://widedevsolution.com), we stand at the forefront of this revolution—implementing AI content generation solutions that empower enterprise creators, educators, and innovators to produce richer, smarter, and more effective experiences.

[zentarablog]

Meet Michelle Peitz

At Zentara.blog, we’re all about making those tricky topics crystal clear and wonderfully engaging. So, when it comes to bringing the fascinating world of technology and beyond to life in our audiobooks, we couldn’t be more thrilled to introduce you to Michelle Peitz! Michelle isn’t just a phenomenal narrator; she’s a true storyteller who can both guide you through complex information and…

[burth74ssyu]

Positive Trends in the AI Audio Recorder Industry: Spotlight on PLAUD

Hello everyone! I'm excited to share some insights about the growing AI audio recorder industry, particularly focusing on the innovative brand PLAUD. As a newcomer in this field, I believe that understanding the advancements in technology can help us all appreciate the incredible capabilities that AI audio recorders bring to the table.

PLAUD has been leading the way with its state-of-the-art AI audio recorder, which offers exceptional clarity and smart features that enhance the recording experience. Whether you're a student, professional, or content creator, PLAUD's AI audio recorder is designed to meet your needs. The ability to transcribe audio in real-time and its noise-cancellation technology are just a couple of features that set PLAUD apart from the competition.

The future looks bright for AI audio recorders, and brands like PLAUD are at the forefront of this exciting evolution. As technology continues to improve, we can expect even more innovative solutions that will make capturing and sharing audio easier and more efficient than ever.

If you're considering investing in an AI audio recorder, PLAUD is definitely a brand worth exploring. Their commitment to quality and user satisfaction is truly inspiring. Let's embrace these advancements together and make the most of what technology has to offer!

[all-india-govt-jobs]

India's Creative Economy To Provide More Jobs Than Manufacturing, Says Adobe CEO

Last Updated:May 01, 2025, 14:16 IST WAVES Summit 2025: Adobe CEO Shantanu Narayen believes India’s creator economy will surpass manufacturing in jobs. Adobe CEO says India’s creator economy to add more jobs than manufacturing sector. WAVES 2025: Adobe Systems CEO Shantanu Narayen expressed strong confidence that India’s creator economy is set to employ more people than the manufacturing sector…