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Instagram TV: New Long-Form Video Features Announced
Instagram is coming for streaming services like Netflix and Amazon Prime Video as it sets its ambitions for living room viewing.
AI-Powered Video Editor for macOS: Palmier Pro
macOS video editor built for AI
Open Source AI Video Production: OpenMontage Unveiled
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
Exploiting Slack's Video Embeds for E2EE Communication
Maximizing Slack's Video Embeds for Enhanced End to End Encryption Communication Slack, a popular team collaboration tool, often incorporates video embeds for v…
AI Tool Dubs Videos in 40 Languages Using Original Voice
Revolutionizing Video Content with AI Driven Dubbing: 40 Languages, Original Voice In the rapidly evolving world of digital content, the ability to reach a glob…
AI-Powered Video Enhancements: YouTube's Latest Innovation
AI Powered Video Enhancements: YouTube's Latest Innovation YouTube, the world’s leading video sharing platform, is consistently pushing boundaries with new feat…
TikTok Pro Events: Enhance FIFA World Cup Experience
The app allows users to engage with other fans, explore trending videos, and access curated creator feeds.
NVIDIA Cosmos3: AI Tool Converts Images to Video
NVIDIA Cosmos3: Transforming Images into Dynamic Videos with AI NVIDIA has once again pushed the boundaries of artificial intelligence with the introduction of …
Automate Social Media Video Uploads with Dreammis Tool
自动化上传视频到社交媒体：抖音、小红书、视频号、tiktok、youtube、bilibili
AI Tool Generates High-Quality Short Videos with One Click
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
NeuroFlow Accelerates Vision Transformers in PyTorch 55.8x
NeuroFlow Accelerates Vision Transformers in PyTorch by 55.8x In the realm of machine learning, the efficiency and speed of transforming vision models are param…
OpenBrief: Local-First Video Downloader & Summarizer
OpenBrief: Your Local First Video Downloader & Summarizer In the digital age, managing and making sense of video content is more important than ever. OpenBriff …
LongCat Video Avatar 1.5: AI-Driven Video Generation
LongCat Video Avatar 1.5: Revolutionizing AI Driven Video Generation LongCat Video Avatar 1.5 marks a significant advancement in artificial intelligence driven …
yt-dlp: Top Command-Line Audio/Video Downloader on GitHub
A feature-rich command-line audio/video downloader
Clouted Raises $7M to Optimize Short Video Virality with AI
The video clipping startup raised a $7 million seed round led by Slow Ventures.
Lance: AI Model for Image and Video Generation and Understanding
Title: Leveraging Lance: AI Image and Video Generation The lodestar in the skyline of AI, the Lance AI model is transforming visual data. FIRSTLY, Lance works w…
AI Tool Transcribes YouTube, TikTok, X, Instagram Videos with CPU Only
AI Tool Transcribes YouTube, TikTok, X, Instagram Videos with CPU Only In an era where video content dominates social media, the demand for efficient transcript…
Reverse Engineering Apple's Video Wallpapers with AI
Reverse Engineering Apple's Video Wallpapers with AI In recent years, Apple's video wallpapers have become a source of attraction. These dynamic backgrounds not…
Discord Adds End-to-End Encryption for Voice and Video Calls
Good news! Discord's hundreds of millions of users now have their communications scrambled, so not even Discord can see them.
Google's YouTube AI Search: Gemini Omni Enhances Video Discovery
Google is completely revamping its search experience, and that doesn't stop at YouTube.
Google's Gemini Omni: Revolutionizing Video Creation with Multimodal A
Google's Gemini Omni is a new multimodal model that reasons across text, images, audio, and video to generate and edit videos through simple conversation — starting with Omni Flash.
ViMax: AI All-in-One Video Generation Tool
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
Lightricks Releases Advanced AI Video Tool LTX-2.3-22b-IC-LoRA-LipDub
Lightricks Unveils Cutting Edge AI Video Tool: LTX 2.3 22b IC LoRA LipDub Lightricks, a leader in AI driven multimedia tools, has launched LTX 2.3 22b IC LoRA L…
Open-Source AI Video Generation Studio with 200+ Models
Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
Runway AI Aims to Rival Google in Video Generation
AI video-generation startup Runway is betting that video generation is the path to world models. And that being an AI outsider is an advantage, not a liability.
Qiaomu: AI Tool Converts Content for NotebookLM
Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
NVIDIA AI Blueprints: Video Search and Summarization
Suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
RuView: Real-Time Spatial Intelligence from WiFi Signals
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Origin Lab Raises $8M for AI Data Marketplace
Origin Lab will serve as a marketplace where AI labs can buy high-quality licensed data, and video-game companies can sell it.
X Introduces History Tab for Bookmarks and More
X’s new History tab combines bookmarks, likes, watched videos, and read articles into a single place, expanding the app’s role as a save-it-for-later tool.
TikTok Expands to Book Travel Directly from Videos
TikTok is systematically converting its discovery engine into a transaction layer, which both deepens user retention and opens entirely new revenue streams for its new owners.
FadCam: Open-Source Android Multimedia Recorder with AI
Open-source, ad-free Android multimedia recorder with background video recording, screen recording, live streaming, and remote camera control
AI-Driven Personalized Video Calls with DialYourShot
AI Driven Personalized Video Calls with DialYourShot In the era of digital communication, AI driven personalized video calls are revolutionizing how we connect.…
AI Video Editing: New Tool for Social Media Teams
Update on AI features for video editing and short-form content workflows.
Discover Deleted YouTube Videos with New AI Search Engine
Discover Deleted YouTube Videos with New AI Search Engine In the ever evolving digital landscape, content preservation and retrieval are pivotal. Recent advance…
AI-Driven Video Engine: AIDC-AI/Pixelle-Video
🚀 AI 全自动短视频引擎 | AI Fully Automated Short Video Engine
AI-Generated Actors and Scripts Banned from Oscars
Bad news for Tilly Norwood.
Self-Hosted AI Video Feed for Kids
Self Hosted AI Video Feed for Kids: A Comprehensive Guide Introduction Self hosted AI video feeds for kids offer a secure and engaging way to deliver educationa…
Deepfakes: The Attention Budget Threat and Response Strategies
A framing I keep coming back to: a synthetic image or video can succeed even when almost nobody believes it. Not because it changes minds directly, but because it turns attention into the attacked resource. If a campaign, newsroom, platform, or company has to stop and answer the fake, the fake already got some of what it wanted: - the defenders spend scarce time verifying and explaining - the audience gets forced to process the claim anyway - every debunk risks replaying the artifact - institutions look reactive even when they are correct - the attacker learns which themes reliably pull defenders into the loop So detection is necessary, but not sufficient. The second half of the system is distribution response. A few practical design questions I think matter more than the usual “can we detect it?” debate: - Can we debunk without embedding, quoting, or rewarding the fake? - Can provenance signals move suspicious media into slower lanes instead of binary takedown/leave-up decisions? - Do newsrooms and platforms track attention budget as an operational constraint? - Can response teams separate “this is false” from “this deserves broad amplification”? - Can systems preserve evidence for verification while reducing replay value for the attacker? The failure mode is treating every fake as an information accuracy problem when some of them are closer to denial-of-service attacks on attention. Curious how people here would design the response layer. What should a healthy “quarantine lane” for synthetic media look like without becoming censorship-by-default?
Hera Launch: AI-Driven Studio-Quality Launch Videos
Create studio-quality launch videos with AI
VideoOS by Jupitrr AI: Streamline Your Video Workflow
Your all-in-one video workflow
Netflix Launches 'Clips' for Vertical Video Discovery
Netflix is redesigning its mobile app and introducing Clips, a vertical video feed intended to help users discover new content by sharing highlights from original Netflix programming.
10 Reasons Selling AI Tools to Developers is Challenging
Nowadays, everyone (including me) wants to sell AI-powered tools, platforms, or products. Few people (including me 6 months ago) have any idea how hard it is to approach and convince technical people for at least 10 reasons: 1 - They're constantly bombarded with messages. 2 - Everyone sells everything, so supply >>> demand. 3 - Extremely high background noise. 4 - They see an AI-generated message from 10km away (they've trolled me several times). 5 - If they have to go through a demo to try the product, they've already closed the tab. 6 - The opinions of devs, who value any glossy slide, count much more. 7 - Product trials are unforgiving; it's like being in court accused of 16 murders. If they find bugs or poor performance at that point, for them the product is broken and the window closes. 8 - They always have a plan B: I'll make it myself. Only 9 - If you don't have a solid track record (or you studied biotech like me), everything is 10x harder. 10 - Like the MasterChef judges, who used to be just chefs and now are atomic hotties, today's CTOs and top devs are stars; literally everyone wants them. It seems easier to scale a dev tool today because there are infinite tools, but in reality it's really tough. On the one hand, you have to earn the trust of technical teams through intros, messages, calls, and events; on the other, you have to scale at the speed of light because you're only six months old. Advice, ideas, scathing comments, insults? Anything goes. \*Not true
Open-Source Computer Science Curriculum by ForrestKnight
Video discussing this curriculum:
Google TV Expands with New Gemini AI Features
Google TV just got more Gemini features, including the ability to transform photos and videos with tools Nano Banana and Veo.
Exploring Unique Seedance 2.0 AI Video Applications
Been playing around with Seedance 2.0 since it dropped and the obvious use cases are everywhere — music videos, short films, social content. But I'm more curious about the less obvious applications people are finding. The one that caught my attention: someone embedded Seedance-generated video directly inside a business presentation. Not as a separate video file you play before the slides — actually inside the deck, as a slide element. The result looked genuinely cinematic rather than "corporate video" quality. Never really thought about AI video generation in a business context before. It's usually framed as a creative tool. What are the non-obvious Seedance use cases you've come across?
Snapr: AI-Powered Screenshot, Video Recording & Editing Tool
Screenshot, record, annotate & edit video in one app
Divine: Jack Dorsey-Backed Vine Reboot Launches
Divine, a Vine reboot backed by Jack Dorsey’s nonprofit, revives six-second looping videos.
Top AI-Powered YouTube Front-End: Invidious
Invidious is an alternative front-end to YouTube
Self-Taught Developer from Bahrain Launches Multi-Model AI Platform
https://reddit.com/link/1sxotqx/video/xlaqd9i8guxg1/player I'm a self-taught developer, 39 years old, based in Bahrain. Four months ago I started building AskSary - a multi-model AI platform with a persistent memory layer that sits above all the models. The core idea: the model is not the identity. Most AI tools lose your context the moment you switch models. I built the layer that remembers you across all of them. Here's what's shipped so far: **Models & Routing** Every major model in one place - GPT-5.2, Claude Sonnet 4.6, Grok 4, Gemini 3.1 Pro, DeepSeek R1, O1 Reasoning, Gemini Ultra and more - with smart auto-routing or manual override. **Memory & Context** Persistent cross-model memory. Start with Claude on your phone, switch to GPT on your laptop - it already knows what you discussed. Proactive personalisation that messages you first on login before you've typed a word. **Integrations** Google Drive and Notion - connect once, pull files and pages directly into chat or your RAG Knowledge Base. Unlimited uploads up to 500MB per file via OpenAI Vector Store. **Video Analysis** \- Gemini native video understanding for YouTube URL analysis (no download required, processed natively) and direct file upload up to 500MB. Full breakdown of visuals, audio, dialogue, editing style and key moments. **Generation** Image generation and editing, video studio across Luma, Veo and Kling, music generation via ElevenLabs, video analysis via upload or YouTube URL. **Builder Tools** Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect, Bug Buster, Git Guru and more. Tavily web search across all models. **Voice & Audio** Real-time 2-way voice chat at near-zero latency, AI podcast mode downloadable as MP3, Voiceover, Voice Notes, Voice Tuner. **Platform** Custom agents, 30+ live interactive themes, smart search, media gallery, folder organisation, full RTL support across 26 languages, iOS and Android apps, Apple Vision Pro. **Where it is now** 129 countries. Currently at 40 new signups a day. 1080 Signup's so far after 4 weeks or so. MRR just started. Zero ad spend. All of it built solo, one feature at a time, on a balcony in Bahrain. **The Stack:** Frontend - Next.js, Capacitor (iOS and Android) and Vanilla JS / React Backend - Vercel serverless functions, Firebase / Firestore (database + auth) and Firebase Admin SDK AI Models - OpenAI (GPT, GPT-Image-1), Anthropic (Claude), Google (Gemini), xAI (Grok), DeepSeek Generation APIs - Luma AI (video), Kling via Replicate (video), Veo via Replicate (video), ElevenLabs (music), Flux via Replicate (image editing), Meshy (3D — coming soon) Integrations - Google Drive (OAuth 2.0), Notion (OAuth 2.0), Tavily (web search), OpenAI Vector Store (RAG), Stripe (payments), CloudConvert (document conversion), Sentry (error tracking), Formidable (file handling) Rendering - Mermaid (flow charts) and MathJax Platforms - Web, iOS, Android, Apple Vision Pro (visionOS) Languages - 26 UI languages with full RTL support [asksary.com](http://asksary.com) Happy to answer questions on any part of the build - stack, architecture, API cost management, anything.