The hottest Generative AI Substack posts right now

And their main takeaways
Category
Top Technology Topics
Sector 6 | The Newsletter of AIM 39 implied HN points 28 Aug 23
  1. NVIDIA launched the AI Foundation, a cloud-based service that helps businesses use generative AI for different projects like medical research and artwork.
  2. They partnered with VMware to help companies create and use smart AI applications, like chatbots and virtual assistants.
  3. This move shows NVIDIA is trying to diversify its business and stay strong in the GPU market.
Fintech Wrap Up 39 implied HN points 28 Jun 23
  1. Payments platforms can be attractive for advertisers to invest in due to access to data and trust
  2. Embedded finance is changing how customers and businesses interact with financial services
  3. Financial institutions can generate revenue by offering bundled fintech services through subscription tiers
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aidaily 39 implied HN points 08 Mar 23
  1. Google is planning to integrate AI into all its important products to catch up with OpenAI's ChatGPT.
  2. AI can recreate images seen by people by analyzing their brain scans with the help of an algorithm.
  3. Generative AI allows for the creation of endless viral videos, potentially altering the landscape of social media.
Mimir's Well 39 implied HN points 08 May 23
  1. The practical impact of AI matters more than philosophical debates on human-like intelligence.
  2. Generative AI is being used to improve productivity and creativity in workplaces, potentially impacting job roles.
  3. Despite current limitations, generative AI has potential for creating high-quality work and will likely improve further in the future.
New World Same Humans 40 implied HN points 16 Feb 24
  1. OpenAI unveiled Sora, a new text-to-video model that produces photorealistic videos and accurately simulates physical dynamics.
  2. The emergence of generative AI models like Sora raises concerns about intellectual property rights and the future of human creativity in fields like filmmaking.
  3. Advances in AI technology, such as Sora, are rapidly transforming the creative and social media landscapes, moving towards a visual-centric culture and raising profound questions about our understanding of reality.
AI and Experience Design 19 implied HN points 02 Feb 24
  1. The AI & Experience Design Conference brought together creative minds from AI, art, design, and technology to explore the impact of Generative AI on designing meaningful experiences.
  2. The conference was a space for dynamic discussions, collaboration, and hands-on workshops on various topics like emotional design, AI in UI/UX, and assistive technologies for visually impaired users.
  3. The event highlighted the importance of AI in design, not just as a support tool, but as a collaborator in the creative process, reshaping the future of art and design in the digital era.
Untangled with Charley Johnson 19 implied HN points 28 Jan 24
  1. Generative AI should be considered a public problem requiring collective consideration.
  2. Technology problems are not just about technology, but also about social, cultural, political, and economic factors.
  3. An important aspect of addressing AI issues is to collectively debate, account for, and manage them.
An Innovator's Sketchbook 19 implied HN points 28 Jan 24
  1. Leverage AI to boost personal productivity in product management through planning, execution, and user feedback analysis.
  2. Use large language models (LLMs) in product strategy for idea generation, evaluation, and decision-making.
  3. Optimize day-to-day efficiency by using AI to break down goals into manageable tasks and plan daily schedules.
The Digital Anthropologist 19 implied HN points 17 Jan 24
  1. AI systems have cultural biases, so considering a global perspective can help humans benefit more from AI.
  2. Different countries adopt AI tools at varying rates, with Generative AI being more accessible and popular in developing nations.
  3. Cultural, gender, and racial biases are unintentionally embedded in AI tools, influenced by the cultural perspectives of the developers.
Conspirador Norteño 36 implied HN points 17 Feb 24
  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.
aidaily 19 implied HN points 15 Jan 24
  1. Google cutting over 1,000 jobs and restructuring hardware teams.
  2. Amazon's Alexa gets new generative AI experiences for interactive play and custom songs.
  3. Zuckerberg shifting focus from the metaverse to AI to establish tech credibility.
The Gradient 24 implied HN points 12 Mar 24
  1. Apple terminated its Project Titan autonomous electric car project and shifted focus to generative AI, impacting hundreds of employees.
  2. Challenges faced by Project Titan included leadership changes, strategic shifts, and difficulties in developing self-driving technology.
  3. Research proposes RNN-based architectures Hawk and Griffin that compete with Transformers, offering more efficiency for language models.
The Digital Anthropologist 19 implied HN points 09 Dec 23
  1. Artificial Intelligence (AI) doesn't actually exist as a singular entity, but rather as a collection of various tools and technologies.
  2. While AI tools are important and valuable, they are currently limited to Narrow AI, meaning they excel at specific tasks but lack overall intelligence.
  3. Understanding the reality of AI, including its limitations and the motivations behind the hype, is crucial for regulation, governance, and innovation in the field.
Rod’s Blog 19 implied HN points 20 Nov 23
  1. Data classification and labeling can enhance data quality by ensuring authenticity, reliability, and relevance, and help remove unnecessary or erroneous data for Generative AI systems.
  2. Data classification and labeling can safeguard data privacy and confidentiality, prevent unauthorized access, and aid in compliance with data protection regulations like GDPR and CCPA.
  3. Using Microsoft Purview for data classification and labeling can efficiently manage data access, apply sensitivity labels, and provide insights to improve data security and reliability for Generative AI.
Humane AI 20 HN points 11 May 23
  1. The practice of 'Devil's Advocates' shaping decision-making dates back centuries, like in the case of determining the legitimacy of saints.
  2. Red teaming has evolved from military war games to modern applications in cybersecurity and ensuring ethical implications in generative AI systems.
  3. Guidelines for effective red teaming include partnering with civil society organizations, collaborating with humanities departments, and expanding efforts for diverse linguistic contexts.
Stemble - for the love of STEM! 19 implied HN points 21 Mar 23
  1. Google and Microsoft are integrating generative AI into consumer products like Gmail, Docs, Outlook, Bing, Edge, Teams, Word, and Excel.
  2. The integration of generative AI aims to simplify tasks for users and reduce their workload.
  3. Human oversight is important to ensure the accuracy and reliability of information generated by AI integrated products.
Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique 19 implied HN points 10 Jul 23
  1. Cybersecurity incidents on critical infrastructure are a major concern globally
  2. Proposed GDPR reforms aim to enhance enforcement mechanisms and transparency
  3. Countries are implementing stricter regulations to protect data privacy and crack down on unethical data practices
The Digital Anthropologist 19 implied HN points 06 Sep 23
  1. We enjoy looking back at past predictions on future technologies, finding humor and nostalgia in how they were portrayed.
  2. Future technology predictions are influenced by cultural norms and biases, shaping how artists and designers envision the future.
  3. Nostalgia helps us deal with changes by making us feel more comfortable with the present and provides a lens to imagine possible future scenarios.
One Thing at a Time 19 implied HN points 08 Jun 23
  1. Dave Cross shared his experience of being a guest on a podcast to discuss GitHub Actions.
  2. Dave Cross found Generative AI tools like ChatGPT and GitHub Copilot to significantly boost his productivity in coding.
  3. Dave Cross is exploring AI services like CodeWhisperer at the AWS Summit and is looking for work opportunities in Perl, Linux, web development, databases, and more.
The Product Channel By Sid Saladi 23 implied HN points 21 Jan 24
  1. Prompt engineering is crafting effective natural language prompts to get desired outputs from AI.
  2. Prompt engineering is crucial for product managers to unlock AI potential in workflows and decision-making.
  3. Well-structured prompts include clear instructions, context, format, and tone, enhancing coherency and relevance.
The Product Channel By Sid Saladi 20 implied HN points 11 Feb 24
  1. Building a competitive moat in AI involves strategic navigation of the generative AI value chain to create unique advantages.
  2. For AI startups, it's crucial to focus on acquiring proprietary data, integrating AI into comprehensive workflows, and specializing models through incremental training techniques.
  3. Companies like Anthropic, Landing AI, and Stability AI showcase effective moat-building strategies in AI by emphasizing ethical development, democratizing technology, and niche specialization.
Kyle Chayka Industries 71 implied HN points 26 Feb 23
  1. Generative AI tools are being used to replicate artists' styles, impacting the livelihood of traditional artists.
  2. The role of the artist is changing as AI allows anyone to easily create art, potentially diminishing the value of artistic skill.
  3. AI is making it possible for people to generate art or music in the style of established artists, leading to a redefinition of what it means to be an artist.
Gradient Ascendant 16 implied HN points 21 Feb 24
  1. The author quit their job to work on a new AI-related project motivated by the transformative potential of modern AI technology.
  2. Google's Gemini 1.5 model is a significant advancement in AI capabilities, able to handle an impressive 10 million tokens for input, marking a major leap forward in AI development.
  3. Despite its imperfections, Gemini 1.5 and other advanced AI models are drastically reducing limitations and opening up new possibilities for future technological innovations.
The Digital Anthropologist 19 implied HN points 25 May 23
  1. Our brains are essentially search engines that help us make sense of the world around us and communicate with others to find common ground in our varied realities.
  2. Generative AI tools like Large Language Models can enhance our natural search behavior by helping us find context faster and take action more efficiently, although they are not without risks like generating misinformation.
  3. As GAI tools evolve and societal rules around their use are established, they have the potential to greatly improve productivity in information and knowledge management within organizations while also aiding in better understanding human behavior and societal complexities.
aiproinsights 5 HN points 26 Mar 24
  1. 90% of participants in the study used ChatGPT, a popular Generative AI tool for tasks like coding, bug-finding, test case writing, and more.
  2. Programming was the top use case among participants, with developers utilizing ChatGPT to save time in writing code, finding bugs, creating test cases, and generating code documentation.
  3. Users reported an average time saving of 1 hour and 20 minutes per session using Generative AI tools, showcasing significant productivity gains in completing programming tasks.