The hottest Video Substack posts right now

And their main takeaways
Category
Top Literature Topics
Simon Owens's Media Newsletter • 399 implied HN points • 12 Mar 26
  1. Mid-sized creators can earn solid, middle-class incomes by treating their channels like businesses and optimizing every revenue stream—affiliate links, brand deals, and higher-value products can turn one well-made video into serious income.
  2. Platform economics and new business models are widening who can earn: ad revenue sharing, streaming payouts, events, and creator incubators let more artists and journalists make a living, though network deals can trade off growth for ownership.
  3. Tech and AI are reshaping media work—AI boosts productivity and forces organizational change, while cheaper production tools and legacy publishers’ pivots (like events and rehiring reporters) lower barriers and alter how creators build sustainable careers.
The Kaitchup – AI on a Budget • 99 implied HN points • 24 Oct 24
  1. Pyramid Flow is a new model that lets you generate videos quickly on your computer. It supports 768p resolution and works at 24 frames per second.
  2. You can create videos using either text prompts or a mix of text and image prompts, making it flexible for different projects.
  3. A consumer GPU, like the RTX 3090, is good enough for making these videos, and there's a notebook available with all the steps to help you get started.
Substack • 2027 implied HN points • 22 Jan 26
  1. Substack launched a TV app (beta) for Apple TV and Google TV so subscribers can watch creators' video posts and livestreams on the big screen.
  2. Creators don’t need to do anything — videos appear automatically for signed-in subscribers, and both free and paid users get access matched to their subscription level, though paid-content previews for free users aren’t supported yet.
  3. The app starts with essentials like a For You row and dedicated subscription pages for reliable, high-quality viewing, and Substack plans to add audio/read-alouds, search, paid previews, in-app upgrades, and show sections over time.
Jakob Nielsen on UX • 32 implied HN points • 16 Mar 26
  1. Most recent UX books still teach pre-AI practices, but designers now need AI-first methods like reversed creative workflows, generative UIs, and designing for AI agents or UI-less experiences.
  2. AI is acting as a new form of capital that will massively boost cognitive productivity, causing short-term job displacement but long-term abundance; people’s economic value will shift toward orchestrating AI and roles requiring empathy, judgment, and creativity.
  3. Agentic commerce will progress from simple checkout automation to full anticipation of needs, and scaling it safely requires interoperable standards and shared financial infrastructure so many agents and businesses can transact together.
The Honest Broker • 5685 implied HN points • 16 Jul 25
  1. Big companies are competing hard for people's attention with video content. They're always trying to make better platforms for viewing videos.
  2. There's a debate about who will dominate the video market, with major names like YouTube, Netflix, and TikTok in the mix.
  3. Surprisingly, a new player could emerge and shake things up, even if it seems unlikely right now.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Jakob Nielsen on UX • 29 implied HN points • 09 Mar 26
  1. AI is improving fast across images, video, and language. New models make much better visuals and one-shot instructional videos, GPT 5.4 writes more compellingly, and capability metrics show AI handling longer expert tasks.
  2. AI won’t kill software — it will make building software cheaper and open much larger markets, though legacy vendors that don’t adapt may be disrupted while AI-native firms and new business models grow.
  3. Website visibility now requires Generative Engine Optimization (GEO) instead of just SEO; tools like Bing’s AI Performance help measure AI citations, which are often highly concentrated, so focus on your top pages and track the AI grounding queries that drive citations.
Common Sense with Bari Weiss • 565 implied HN points • 15 Dec 25
  1. Reading long books has declined in cultural importance, with fewer people reading for pleasure and fewer whole books assigned in schools.
  2. Digital snippets on smartphones and oral formats like podcasts, YouTube, TikTok, and audiobooks are replacing deep reading as the dominant way people consume information.
  3. Even so, long books still offer unique depth and remain well worth the time for those who seek it.
The Dossier • 89 implied HN points • 09 Feb 26
  1. AI is flooding the internet with quickly generated, low-quality content that often looks like human writing, so creators must adapt or get lost in the noise.
  2. Authentic video and audio—especially podcasting—are the clearest ways to prove a real human is behind the work and to stand out from AI-generated “slop.”
  3. Pairing traditional writing with verifiable multimedia keeps journalistic quality while highlighting genuine human insight, turning the AI surge into an opportunity for creators who can prove they’re real.
Big Technology • 4503 implied HN points • 13 Dec 24
  1. Sora is a cool AI video generator but is not very useful right now. The videos it creates are interesting but lack quality for serious use.
  2. There’s no clear audience for Sora yet, as it struggles to find practical ways for everyday users to engage with it. Most people might enjoy it initially, but it's hard to see why they'd keep using it.
  3. Sora could help in some specific applications, like filmmaking or marketing, but it also raises concerns about how we distinguish real from fake videos in a confusing digital world.
Brad DeLong's Grasping Reality • 184 implied HN points • 15 Dec 25
  1. Text is still where ideas are born and sharpened, but video is now the better way to spread those ideas and get discovered by a wider audience.
  2. To have influence you need a workflow that does both: keep writing long-form while turning ideas into audio and short-form video, including making podcasts into video where useful.
  3. Start experimenting with formats, lengths, platforms, and tools now — use TikTok, Instagram, and YouTube to reach people without abandoning careful, text-driven thinking.
Simon Owens's Media Newsletter • 399 implied HN points • 16 Jul 25
  1. YouTube has a big advantage over Netflix because it offers free content and allows users to create their own videos. This makes YouTube more popular and flexible for different types of audiences.
  2. Local news meteorologists are starting their own digital channels, showing how traditional media is changing. They're adapting to the creator economy by leveraging their expertise online.
  3. The Daily Show has grown in popularity again by embracing modern platforms like YouTube and having rotating hosts. Its mix of comedy and political content helps attract a wider audience.
Simon Owens's Media Newsletter • 24 implied HN points • 21 Jan 26
  1. They left traditional institutional media to build a direct-to-audience outlet that prioritizes on-the-ground reporting and aims to present stories without a partisan filter.
  2. They found product-market fit by focusing on Instagram and designing platform-native 'Quick Cards' that capture attention, with a viral GameStop post showing how fast that approach can grow an audience.
  3. The social-first strategy was scaled into multiple products—a newsletter, mobile app, and a longform YouTube channel built around street interviews that grew to about 600,000 subscribers.
imperfect offerings • 319 implied HN points • 24 Feb 24
  1. Synthetic media like deepfake videos raise concerns about truth and authenticity, impacting education and public discourse.
  2. The development and use of AI-generated media like Sora in elections and public communication can distort reality and trust in information.
  3. Educators need to focus on critical thinking, authentic assessment, and personal engagement to navigate the challenges posed by synthetic media in learning environments.
The Algorithmic Bridge • 414 implied HN points • 18 Dec 24
  1. Google's AI video tool, Veo 2, is way ahead of others. It makes better videos than OpenAI's Sora Turbo, which is not as good and feels rushed.
  2. Deepfakes are changing how we see what's real. While they can be fun and creative, they also make it hard to trust what we see, blurring the line between reality and fantasy.
  3. As technology speeds up, we risk forgetting our traditions and customs. This fast pace can leave older generations feeling disconnected from younger ones, so we need to think about what we're losing.
The Algorithmic Bridge • 849 implied HN points • 16 Feb 24
  1. OpenAI's Sora is a revolutionary text-to-video AI model that excels in generating high-quality videos with various resolutions and aspect ratios.
  2. Sora is a diffusion transformer model that leverages a mix of diffusion model (DALL-E 3) and transformer architecture (ChatGPT) to process videos like ChatGPT processes text.
  3. Sora serves as a generalist, scalable model of visual data, capable of creating images and videos, transforming them, and simulating physically sound scenes, albeit in a primitive manner.
Caitlin’s Newsletter • 544 implied HN points • 15 Mar 24
  1. Caitlin Johnstone now offers high-quality video versions of her articles for those who prefer video format.
  2. The videos feature subtitles, a reading of the articles by her husband Tim, relevant screenshots, and occasional light-hearted moments.
  3. Caitlin Johnstone also provides audio versions of her articles on platforms like Soundcloud, Spotify, and other major podcast platforms.
The Digital Native • 137 implied HN points • 17 Jul 23
  1. The history of social media platforms reveals how they evolved over time from the first websites to the current popular ones.
  2. The future of social media is shifting towards more video content, engagement with photos, the rise of podcasts, and the importance of authentic self-expression.
  3. New platforms like Threads are emerging, offering unique ways for users to connect and share content, hinting at a return to more honest and less curated social media trends.
Byte-Sized Design • 58 implied HN points • 11 Feb 24
  1. Instagram improved video uploading efficiency by compressing videos first to progressive encodings and then converting them to adaptive-bit-rate videos, saving 94% of resources.
  2. The challenge for Instagram was to support various video formats for different devices while minimizing resource consumption and CPU usage.
  3. Insightful optimization was achieved by realizing that progressive and adaptive bit rate encodings could use the same codec, streamlining the encoding process to focus on scalability.
The Algorithmic Bridge • 148 implied HN points • 07 Jan 25
  1. ChatGPT Pro is losing money despite its high subscription cost. This shows that even popular AI tools can face financial troubles.
  2. Nvidia has introduced an expensive new AI supercomputer for individuals. This highlights the growing demand for advanced AI technology in personal computing.
  3. More artists are embracing AI-generated art, sparking discussions about creativity and technology. This signals a shift in how art is produced and appreciated.
Jakob Nielsen on UX • 11 implied HN points • 11 Dec 25
  1. AI video technology made big leaps—better avatars, movement, and native audio—but it still struggles with longer, coherent storytelling because clips are short and audio, voice, and motion aren’t yet consistently coordinated.
  2. AI is reshaping creative work and UX by automating many UI tasks and enabling highly personalized content, which pushes designers toward higher-level roles like orchestrating experiences and guiding AI outputs.
  3. Creators need to adapt by focusing on real engagement metrics (like retention, not just clicks), ensuring character and audio consistency, and building human skills such as judgment and persuasion to work effectively with AI.
Mythical AI • 98 implied HN points • 24 Mar 23
  1. Creating videos from text prompts is challenging because it involves understanding and replicating movement besides images.
  2. Existing text to image systems are amazing but doing text to video requires additional capabilities.
  3. While there are research papers and tools for text to video, there's no high-quality solution yet, but advancements are expected in the future.
The Corbett Report • 4 implied HN points • 05 Jan 26
  1. A New Year greeting invites readers to share their hopes, expectations, fears, and plans for 2026 in an open thread.
  2. Paid members can log in to comment and watch a subscriber-only video that demonstrates new membership management features. Non-members are encouraged to sign up and can contact support for login help.
  3. The site is reader-supported and asks people to subscribe or otherwise support the work to help keep independent media growing.
Computer Ads from the Past • 128 implied HN points • 28 Oct 24
  1. ViaGrafix started in 1990 and grew quickly, offering fun work environments like basketball courts and day care for employees' kids.
  2. They were known for their computer training videos and had over 650 different courses, helping people learn software easily.
  3. In the 90s, their tutorials were popular and endorsed by Microsoft, making learning more convenient than using regular manuals.
The Palindrome • 3 implied HN points • 15 Jan 26
  1. A YouTube channel now hosts video versions of fan-favorite educational posts, with three "greatest hits" videos already uploaded.
  2. Subscribing is a quick, zero-cost way to support growth and help the channel reach more machine learning practitioners.
  3. The project aims to teach the fundamentals of math and machine learning clearly and steadily, avoiding hype and short-lived trends, with big plans for 2026.
Democratizing Automation • 221 implied HN points • 16 Feb 24
  1. OpenAI introduced Sora, an impressive video generation model blending Vision Transformer and diffusion model techniques
  2. Google unveiled Gemini 1.5 Pro with nearly infinite context length, advancing the performance and efficiency using the Mixture of Expert as the base architecture
  3. The emergence of Mistral-Next model in the ChatBot Arena hints at an upcoming release, showing promising test results and setting expectations as a potential competitor to GPT4
TheSequence • 77 implied HN points • 31 Oct 24
  1. Meta has launched a new model called Movie Gen for generating audio and video, which is a big step for open source technology. This means more people can access and use advanced tools for media creation.
  2. Many video generation tools are still closed source, but there are some open-source projects like Stable Video that are trying to compete. However, they don't match the quality of commercial models just yet.
  3. Creating video AI models is harder than other types because it needs larger and more complex datasets. This makes it a challenging area for open-source developers to enter.
TheSequence • 140 implied HN points • 29 Feb 24
  1. OpenAI's Sora is a groundbreaking text-to-video model that can create high-quality videos up to a minute long.
  2. The release of Sora has caused a lot of excitement and discussion in the generative AI community and media outlets.
  3. While OpenAI has not revealed extensive technical details about Sora, the model includes some clever engineering optimizations.
Cosmos • 19 implied HN points • 23 Jan 24
  1. MrBeast is exploring monetization on X platform and made $250,000 from his first video, sparking skepticism and speculation.
  2. MrBeast may close a $100 million TV show deal with Amazon, possibly luring fans to Prime from YouTube.
  3. Creators in the digital space are advocating for fair pay and transparency, with resources like 'Fuck You Pay Me', 'creators.org', and 'Creators Guild of America'.
Soaring Twenties • 231 implied HN points • 07 May 23
  1. The topic of Death evoked deep and varied responses from writers.
  2. The contributions ranged from personal essays to poetry, showcasing different perspectives.
  3. The Symposium highlighted the power of exploring complex themes through creative mediums.
steigan.no • 1 implied HN point • 03 Feb 26
  1. All videos from the Mot Dag Conference 2025 are now available on the Mot Dag TV YouTube channel.
  2. A dedicated playlist gathers the conference talks for easy, continuous viewing.
  3. Viewers are invited to watch the lectures and enjoy the presentations.
Working Theorys • 97 implied HN points • 31 Jan 24
  1. Companionship content, like long-form video, is more durable and king compared to short-form content.
  2. Short-form videos are becoming saturated and may plateau in terms of consumer attention.
  3. YouTube is a key platform for companionship content, embracing long-form video and the natural, human engagement it offers.
The False Consensus Effect • 78 implied HN points • 14 Feb 22
  1. The author reflects on their relationship with their partner and the love that has grown over time.
  2. The post includes personal elements like songs and a love letter from the past, showcasing the depth of their connection.
  3. There's a theme of enduring love and appreciation for their partner, demonstrated through art and memories shared in the post.
Artificial Ignorance • 79 implied HN points • 28 Feb 24
  1. The emergence of tools like Sora from OpenAI is revolutionizing video production with realistic outputs and seamless object interactions.
  2. Creating nature documentaries and other narrative videos through automated processes involving Sora, GPT-Vision, and ElevenLabs is becoming increasingly feasible.
  3. The future of entertainment and media is set to be transformed by AI-driven technologies, enabling faster video generation and real-time content creation for indie filmmakers and creators.
Perfecting Equilibrium • 19 implied HN points • 26 Feb 23
  1. New technologies like artificial intelligence are changing job landscapes, but also creating new opportunities.
  2. Prompt-based artificial intelligences like DALL-E can assist with tasks like graphic design and writing.
  3. Experimenting with different prompts and styles can help generate unique and interesting results when using AI tools.
aidaily • 19 implied HN points • 03 Jul 23
  1. Generative AI is transforming content creation industry by revitalizing stories and ideas.
  2. AI has the potential to automate government jobs for better efficiency and services, though with potential drawbacks.
  3. AI bias can be easier to fix than human bias, making AI a valuable tool that needs attention.
polymathematics • 19 implied HN points • 13 Jul 23
  1. Creating something new every day can really boost your skills. It helps you learn and grow quickly.
  2. Setting a specific challenge pushes you to be more creative and disciplined. It makes you more productive in your work.
  3. Sharing your projects with others can inspire them too. It builds a community of learning and support.
Do Not Research • 19 implied HN points • 15 Sep 21
  1. Ross Simonini's "Say No" challenges traditional notions of success through music.
  2. The EP Standards volume 2 questions conventional genres like pop, country, and jazz tunes.
  3. The music video for "Say No" reflects on animals in a human world, disinterested in human pursuits.
Daniel Pinchbeck’s Newsletter • 11 implied HN points • 08 Mar 24
  1. Generative AI has the potential for positive impacts like scientific breakthroughs, but its negatives such as military misuse and media disruption may outweigh the benefits.
  2. The influx of fake content, scams, and deep fakes created by AI poses serious challenges, leading to a digital garbage dump on the internet.
  3. While AI can enable innovative capabilities like text-to-video technology, the sheer volume of content may lead to apathy and lack of creativity in media production.