The hottest Deepfakes Substack posts right now

And their main takeaways
Category
Top Technology Topics

No One Can Tell What’s Real Anymore

Weaponized • 14 implied HN points • 18 Mar 26
🕹 Technology Deepfakes
  1. There is no universally accepted, reliable way to tell if an image or video was made by AI, whether you're a member of the public, a journalist, or an engineer.
  2. Verification today uses a mix of methods—watermarks, detectable artifacts, provenance checks—but each method only works sometimes and leaves big gaps.
  3. Those gaps create a gray zone where uncertain content can linger and allow disinformation to spread easily.

Agents 4 All

DARK FUTURA • 2869 implied HN points • 17 Jan 24
🕹 Technology Deepfakes
  1. AI plays a significant role in tracking and manipulating consumer behaviors to maximize profits for corporations.
  2. The development of full-time AI agents as personal assistants is the next phase of AI innovation, focusing on handling daily tasks and expenditures.
  3. DARPA is exploring the development of human-presenting AI agents for influencing social and behavioral systems, indicating potential dangerous implications.

Computer, enhance!

Conspirador Norteño • 52 implied HN points • 31 Jan 26
🕹 Technology Deepfakes
  1. AI "enhancements" can't recover real details that aren't in the original image; the models fill missing parts with invented content based on their training data, not the actual scene.
  2. Outputs are strongly shaped by prompts and the model, so unmasking or upscaling attempts can produce wildly different and fabricated features like beards or tattoos, making them unreliable for identifying people.
  3. AI-altered frames can add impossible or false actions (for example, a gun firing a flamethrower‑like blast), so such edits can mislead viewers and should not be treated as evidence.

Who can you trust?

Glenn’s Substack • 1395 implied HN points • 07 Apr 23
🕹 Technology Deepfakes
  1. Questioning the trustworthiness of audio, video, and photographs due to the rise of deepfakes.
  2. Historically, relying on human witnesses has been essential in situations where visual evidence is questionable.
  3. Considering the utilization of specially trained observers, similar to Heinlein's concept of Fair Witnesses, to navigate the challenges of trust in evidence.

Artificial Intelligence: Mastercard’s new Neural Network for enhanced fraud detection

The Fintech Blueprint • 452 implied HN points • 06 Feb 24
🕹 Technology Deepfakes
  1. Annual card fraud exceeds $33B, with digital wallets, credit, and debit cards projected to handle 86% of global POS payments by 2026.
  2. Mastercard introduced a new AI model, Digital Intelligence Pro, to improve fraud detection by using a proprietary recurrent neural network.
  3. Digital Intelligence Pro aims to reduce false positive fraud flags, leading to better fraud detection rates, potential savings of $90B yearly for merchants, and improved customer experiences.
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The True Power of AI Deepfakes Is Not What You Think

The Algorithmic Bridge • 700 implied HN points • 12 Feb 25
🕹 Technology Deepfakes
  1. Deepfakes are good at expressing feelings, not just deceiving people. They often illustrate what we want to believe rather than just hiding the truth.
  2. People react to deepfakes based on their existing beliefs. If a fake aligns with what they already think, it can spread quickly, regardless of whether it's real or not.
  3. The real danger of deepfakes lies in how they can reinforce stubborn beliefs. They act as tools for expressing desires rather than just tools for deception.

shrinking the world

bad cattitude • 249 implied HN points • 23 May 25
🕹 Technology Deepfakes
  1. AI technology is advancing quickly, making it hard to tell what's real and what's fake. This can lead to people losing trust in online interactions.
  2. Remote work has its ups and downs. While it offers flexibility, it can hurt teamwork and personal connections that happen in a physical office.
  3. As trust in digital communication decreases, we might turn back to in-person interactions. This could lead to stronger relationships and a return to community-focused living.

What the F*AI*K is happening?

Robots & Startups • 99 implied HN points • 08 Apr 24
🕹 Technology Deepfakes
  1. Robots utilizing AI can make a positive impact in the physical world by addressing real-world problems and global challenges.
  2. Unleashed AI can lead to misinformation and unreliable data, which poses a significant threat if not controlled.
  3. The proliferation of fake robot videos can create skepticism and hinder the credibility of real robotic advancements.

AI Girlfriends

Maximum Progress • 176 implied HN points • 20 Dec 23
🕹 Technology Deepfakes
  1. AI technology includes aspects of love and sex.
  2. AI girlfriends won't drastically change cultural views on romance and sex.
  3. AI technology enhances existing capabilities with marginal impact.

Sarah Palin Forever

Cybernetic Forests • 159 implied HN points • 23 Apr 23
🎨 Art & Illustration Deepfakes
  1. The story 'Sarah Palin Forever' explores the impact of political environments and media ecosystems on shaping identities.
  2. The concept of deepfakes and how they can be used as tools for satire and storytelling is discussed.
  3. The power of images and words in media is highlighted, emphasizing how narratives shape our perceptions and understandings.

OpenAI Sora: You Can't Believe Your Eyes Anymore

The Algorithmic Bridge • 403 implied HN points • 21 Feb 24
🕹 Technology Deepfakes
  1. OpenAI Sora is a significant advancement in video-generation AI, posing potential risks to the credibility of video content as it becomes indistinguishable from reality.
  2. The introduction of Sora signifies a shift in the trust dynamic where skepticism towards visual media is becoming the default, requiring specific claims for authenticity.
  3. The impact of AI tools like Sora extends beyond technical capabilities, signaling a broader societal shift towards adapting to a reality where trust in visual information is no longer guaranteed.

Must Learn AI Security Compendium 1: AI Cyber Attacks - The Rising Threat to Security

Rod’s Blog • 39 implied HN points • 07 Sep 23
🕹 Technology Deepfakes
  1. AI cyber attacks are on the rise, becoming more prevalent and sophisticated, targeting individuals and organizations using AI algorithms to evade traditional security measures.
  2. Hackers utilize AI-powered botnets in attacks like the TaskRabbit incident, which compromised millions of user accounts, exposing sensitive data such as Social Security numbers and bank account details.
  3. Deepfakes, evasion, oracle attacks, compromised AI systems, and quantum computing present serious threats, necessitating robust cybersecurity measures and proactive defense strategies to protect against evolving AI-enabled attacks.

Must Learn AI Security Part 21: Watermark Removal Attacks Against AI

Rod’s Blog • 39 implied HN points • 05 Oct 23
🕹 Technology Deepfakes
  1. A watermark removal attack against AI involves removing unique identifiers from digital images or videos, leading to unauthorized use and distribution of copyrighted content. This is illegal and can have legal consequences.
  2. Types of watermark removal attacks include image processing, machine learning, adversarial attacks, copy-move attacks, and blurring/masking attacks. These methods violate intellectual property rights.
  3. Mitigation strategies for watermark removal attacks include using robust and invisible watermarks, applying multiple watermarks, using detection tools, enforcing copyright laws, and educating users about the risks.

death of reality.

a quest for knowledge • 39 implied HN points • 18 Mar 23
🕹 Technology Deepfakes
  1. We are entering an era of deep fakes and manipulated content.
  2. Our digital world is evolving into a fake version of reality.
  3. The fusion of digital and physical worlds is making our online identities more crucial.

Detecting Deepfakes in a cheap and effective way [StoryTime Saturdays]

Technology Made Simple • 59 implied HN points • 04 Sep 22
🕹 Technology Deepfakes
  1. Deepfakes have serious legal and social consequences, especially with advancements in creating synthetic audio and video.
  2. There are cheap and effective ways to detect Deepfakes by looking for 'fingerprints' left by image tampering.
  3. Research shows promise in using simple models to detect Deepfakes by identifying differences between generated and real images.

Po*nography + AI = 😬

superartificial • 19 implied HN points • 27 Feb 23
🕹 Technology Deepfakes
  1. AI is making waves in the agriculture industry, improving crop predictions and farming efficiency.
  2. AI-generated pornography raises ethical concerns like privacy violations and job losses.
  3. AI technology advancements are outpacing responsible usage, impacting society and politics.

AI Roundup 053: Bye bye Bard

Artificial Ignorance • 54 implied HN points • 09 Feb 24
🕹 Technology Deepfakes
  1. Google rebrands AI product line Bard to Gemini, introducing multiple tiers including a paid plan powered by Gemini Ultra.
  2. Initiatives like the C2PA aim to address deepfake content issues, with companies like Google and OpenAI joining efforts for content authentication.
  3. FCC deems robocalls with fake AI-created voices as illegal, showcasing government agencies taking action on AI regulation independently.

Seeing isn't always believing: video edition

Conspirador Norteño • 36 implied HN points • 17 Feb 24
🕹 Technology Deepfakes
  1. The advancement of text-to-video generative AI like Sora raises concerns about deceptive video content, introducing the concept of the "liar's dividend."
  2. Despite impressive quality, AI-generated videos by Sora exhibit anomalies that reveal their synthetic origins, such as sudden appearance and disappearance of objects.
  3. While AI-generated videos can be photorealistic, they often contain telltale signs of synthetic generation, cautioning against an excessive distrust of all videos and emphasizing the long-standing history of manipulating video content.

Taylor Swift AI-Porn is terrible

GOOD INTERNET • 20 implied HN points • 26 Jan 24
🕹 Technology Deepfakes
  1. AI-generated porn poses serious threats to privacy and psychological well-being, especially for activists and teenage girls.
  2. The omnipresence of AI-created porn can subject women to constant surveillance and objectification by digital swarms.
  3. Easy access to AI tools for creating fake porn raises concerns about the spread of nonconsensual and harmful content.

Is there life after death with AI? Google considers charging for AI-based searches; a new wave of AI gadgets; a researcher takes on election deepfakes; applying AI to real-world problems

Computerspeak by Alexandru Voica • 1 HN point • 05 Apr 24
🕹 Technology Deepfakes
  1. Advancements in generative AI are transforming the concept of photo albums into interactive synthetic media albums that allow for realistic re-experiencing of memories.
  2. AI-powered interactive photo albums have the potential to revive past loved ones by creating realistic 3D avatars and can also bring back deceased celebrities, bridging generational gaps.
  3. The rise of AI technologies for storytelling raises ethical concerns but offers powerful new ways to preserve and share memories and narratives with future generations.

Automatic Swatting as a service

GOOD INTERNET • 20 implied HN points • 18 Apr 23
🕹 Technology Deepfakes
  1. Automatic swatting incidents are being automated with the use of computer-generated voices, making the harassment technique more dangerous and prevalent.
  2. There are concerns about the intersection of capitalism and AI development, as companies prioritize profit over ethical AI creation.
  3. AI-generated music using synthetic voices by artists like Drake and The Weeknd may pose copyright challenges and raise questions about the future of music creation and distribution.

Update #43: Propaganda Deepfakes and Transformers get Loopy

The Gradient • 11 implied HN points • 14 Feb 23
🕹 Technology Deepfakes
  1. Deepfakes were used for spreading state-aligned propaganda for the first time, raising concerns about the spread of misinformation.
  2. Transformers embedded in loops can function like Turing complete computers, showing their expressive power and potential for programming.
  3. As generative models evolve, it becomes crucial to anticipate and address the potential misuse of technology for harmful or misleading content.

🦾 Deepfakes, Empathy & OpenAI Updates

HackerPulse Dispatch • 5 implied HN points • 16 Feb 24
🕹 Technology Deepfakes
  1. OpenAI disrupted five state-affiliated malicious actors exploiting AI services, demonstrating a commitment to ethical AI.
  2. ImplicitDeepfake1 merges deepfake tech with Neural Radiance Fields and Gaussian Splatting for advanced 3D avatar creation and gaming.
  3. LAION introduced BUD-E, an AI assistant focusing on real-time responses with natural voice, empathy, & emotional intelligence.