The hottest Generative AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Here lies the internet, murdered by generative AI

The Intrinsic Perspective • 100547 implied HN points • 27 Feb 24
🕹 Technology AI Internet Generative AI OpenAI ChatGPT
  1. Generative AI is overwhelming the internet with low-quality, AI-generated content, polluting searches, pages, and feeds.
  2. Major platforms and media outlets are embracing AI-generated content for profit, contributing to the cultural pollution online.
  3. The rise of AI-generated children's content on platforms like YouTube is concerning, exposing young viewers to synthetic, incoherent videos.

The First Hit Generative AI Product After ChatGPT? Somehow, It’s Snapchat+

Big Technology • 17388 implied HN points • 05 Jan 24
🕹 Technology AI Social media Generative AI Subscription Messaging
  1. Snapchat+ is a popular AI-powered subscription service with generative AI features.
  2. The success of Snapchat+ shows that generative AI may be best as a feature within existing apps rather than standalone products.
  3. Generative AI technology is being utilized to enhance user experiences and could be a new revenue stream for companies.

The end is Gemi-nigh

Cloud Irregular • 591 implied HN points • 26 Feb 24
🕹 Technology AI Google Generative AI
  1. Google's rollout of AI technology like Gemini shows a lack of internal coherence, leading to confusion among users.
  2. Despite controversies and criticisms, Google has a culture of acknowledging issues and striving to improve, driven by fear of tarnishing its brand.
  3. Public embarrassment often pushes Google to take action and refine its products, demonstrating a reactive and risk-averse approach.

Two of Your Predictions for 2024 and Why They Are Probably Not Correct

Mathworlds • 1375 implied HN points • 17 Jan 24
🚌 Education EdTech Generative AI Predictions
  1. Generative AI tools may not eliminate 90% of teachers' administrative tasks by 2024 according to a teacher survey.
  2. AI tutors evolving to become great is another prediction for 2024, but their widespread success remains uncertain.
  3. It's crucial for edtech developers to create tools that truly meet the practical needs of teachers and students, as indicated by survey results.
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LLM Links, 3/11

In My Tribe • 258 implied HN points • 11 Mar 24
🕹 Technology AI Generative AI Chatbots Language Models Artificial Intelligence
  1. When prompting AI, consider adding context, using few shot examples, and employing a chain of thought to enhance LLM outputs.
  2. Generative AI like LLMs provide one answer, making the prompt crucial. Personalizing prompts may help tailor results to user preferences.
  3. Anthropic's chatbot Claude showed self-awareness, sparking discussions on AI capabilities and potential use cases like unredacting documents.

OpenAI Sora: You Can't Believe Your Eyes Anymore

The Algorithmic Bridge • 403 implied HN points • 21 Feb 24
🕹 Technology AI Deepfakes Generative AI
  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.

Most Impactful Generative AI Papers of 2023

AI Supremacy • 1022 implied HN points • 06 Jan 24
🕹 Technology AI Generative AI Research Language Models Papers
  1. The post discusses the most impactful Generative AI papers of 2023 from various institutions like Meta, Stanford, and Microsoft.
  2. The selection criteria for these papers includes both objective metrics like citations and GitHub stars, as well as subjective influence across different areas.
  3. The year 2023 saw significant advancements in Generative AI research, with papers covering topics like large language models, multimodal capabilities, and fine-tuning methods.

China will Catch up in Generative AI in 2024

AI Supremacy • 569 implied HN points • 06 Feb 24
🕹 Technology AI Artificial Intelligence Asia Generative AI Cloud Services
  1. China is advancing rapidly in Generative AI and is set to catch up with the U.S. by 2024.
  2. China is approving numerous large language models and enterprise applications in AI, showing its commitment to AI innovation.
  3. The tech competition between China and the U.S. intensifies as China aims to lead in Generative AI with a focus on AI regulation and product advancements.

Who pays for 'authenticity'?

imperfect offerings • 199 implied HN points • 12 Mar 24
🕹 Technology Generative AI Expertise
  1. Universities are investing in AI literacy for their staff and students, covering various important topics like privacy, bias, and ethics.
  2. Peer-supported discovery and open education communities play a crucial role in empowering individuals to engage with new technologies.
  3. The development and use of generative AI models come with challenges related to bias, authenticity, and the trade-offs between safety and performance.

Clues Say Generative AI’s Future Will Be Revealed in 2024

The Algorithmic Bridge • 700 implied HN points • 19 Jan 24
🕹 Technology AI Generative AI AGI Open Source
  1. 2024 is a significant year for generative AI with a focus on revelations rather than just growth.
  2. There is uncertainty on whether GPT-4 is the best we can achieve with current technology or if there is room for improvement.
  3. Mark Zuckerberg's Meta is making a strong push towards AGI, setting up a high-stakes scenario for AI development in 2024.

No One AI Model Will Rule the World

The Algorithmic Bridge • 254 implied HN points • 28 Feb 24
🕹 Technology AI Computers Generative AI Supercomputers Industry
  1. The generative AI industry is diverse and resembles the automotive industry, with a wide range of options catering to different needs and preferences of users.
  2. Just like in the computer industry, there are various types and brands of AI models available, each optimized for different purposes and preferences of users.
  3. Generative AI space is not a single race towards AGI, but rather consists of multiple players aiming for different goals, leading to a heterogeneous and stable landscape.

Deep Learning Weekly: Issue 336

Deep Learning Weekly • 648 implied HN points • 17 Jan 24
🕹 Technology AI Machine Learning Generative AI MLOps Libraries
  1. This week's deep learning topics include generative AI in enterprises, query pipelines, and closed-loop verifiable code generation.
  2. Updates in MLOps & LLMOps cover CI/CD practices, multi-replica endpoints, and serverless solutions like Pinecone.
  3. Learning insights include generating images from audio, understanding self-attention in LLMs, and fine-tuning models using PyTorch tools.

Why Human-in-the-Loop is Essential for Generative AI

Rod’s Blog • 476 implied HN points • 22 Jan 24
🕹 Technology AI Ethics Generative AI
  1. Generative AI should incorporate human oversight and feedback to ensure accuracy and reliability, fairness and accountability, creativity and diversity, as well as ethics and compliance.
  2. Human-in-the-Loop (HITL) design strategy involves human expertise and intervention at various stages of an AI system's operation, especially in generative AI for training, evaluation, and output generation processes.
  3. Using AI to augment, not replace, human capabilities is essential for responsible and human-centered AI, as it leverages the strengths of both AI and humans, fosters collaboration and learning, and preserves human dignity and agency.

The Sequence Chat: Yohei Nakajima on Creating BabyAGI, Autonomous Agents and Investing in Generative AI

TheSequence • 140 implied HN points • 06 Mar 24
🕹 Technology AI Generative AI Venture Capital Autonomous Agents Open Source
  1. BabyAGI project focuses on autonomous agents and AI enhancements for task execution, planning, and reasoning over time.
  2. Challenges in adopting autonomous agents include human behavior changes and enabling AI access to tools for task execution.
  3. Future generative AI trends include AI integration across various industries, increased passive AI usage, and automation of workflows with AI workers.

How Apple Won Generative AI 17 Years Ago

The Algorithmic Bridge • 265 implied HN points • 07 Feb 24
🕹 Technology AI Tech Companies Generative AI Tech industry Innovation
  1. Tech giants are racing to lead in generative AI with various strategies like endless research and new product releases.
  2. Apple seems unruffled amidst the chaos, hinting at a predetermined winner in the race for generative AI.
  3. While other companies are actively engaged in the AI race, Apple remains silent and composed, suggesting a different approach to innovation.

Alternative Prosperities

In Bed With Social • 530 implied HN points • 24 Dec 23
🕹 Technology AI Sustainability Generative AI
  1. A growing shift towards sustainability and conscious consumer behavior is gaining momentum globally.
  2. Generative AI is revolutionizing the processing of unstructured human data, offering new insights into behaviors and social interactions.
  3. Technological advancements, such as generative AI, provide opportunities for self-discovery and redefining our understanding of humanity and the world.

Text-to-Video Games and 1-Bit Models: Two Monumental Generative AI Research Milestones in One Week

TheSequence • 77 implied HN points • 03 Mar 24
🕹 Technology AI Generative AI ML Research AI Tech Releases Real World ML
  1. Genie by Google DeepMind can create 2D video games from text, opening doors to interactive environments in simulations, gaming, and robotics.
  2. BitNet b1.58, a 1-bit model by Microsoft and University of Chinese Academy of Sciences, offers cost-efficient and high-performance training for Large Language Models (LLMs).
  3. The pace of research in generative AI is rapid, leading to groundbreaking advancements like Genie and BitNet b1.58.

LAION-5B, Stable Diffusion 1.5, and the Original Sin of Generative AI

Cybernetic Forests • 279 implied HN points • 03 Jan 24
🕹 Technology AI Generative AI Open Source
  1. The article discusses the implications of AI infrastructure and the lack of input from the right experts in the field.
  2. It highlights the presence of concerning content within AI training datasets like LAION-5B, raising ethical issues in generative AI systems.
  3. The author mentions being quoted in a Wired Magazine article about Generative AI in relation to Mickey Mouse, hinting at upcoming content on this topic.

Goodbye Chatbots, Hello AI Agents

Teaching computers how to talk • 125 implied HN points • 12 Feb 24
🕹 Technology AI Generative AI Tech industry
  1. Chatbots struggled due to their inability to handle human conversation complexity, leading to sub-optimal user experiences.
  2. The emergence of AI agents, powered by generative AI, presents a more flexible and capable generation of assistants that can perform tasks and act on behalf of users.
  3. Transition from chatbots to AI agents marks a significant shift towards a more promising future, distancing from old frustrations and embracing advanced conversational AI.

Google Goes Small and Open Source with Gemma

TheSequence • 84 implied HN points • 25 Feb 24
🕹 Technology AI Open Source Generative AI ML Research AI Tech Releases
  1. Google released Gemma, a family of small open-source language models based on the architecture of its Gemini model. Gemma is designed to be more accessible and easier to work with than larger models.
  2. Open-source efforts in generative AI, like Gemma, are gaining traction with companies like Google and Microsoft investing in smaller, more manageable models. This shift aims to make advanced AI models more widely usable and customizable.
  3. The rise of small language models (SLMs) like Gemma showcases a growing movement towards more efficient and specialized AI solutions. Companies are exploring ways to make AI technology more practical and adaptable for various applications.

Thoughts About a Mouse

Cybernetic Forests • 199 implied HN points • 07 Jan 24
🕹 Technology AI Copyright Generative AI Digital Infrastructure
  1. The concept of copyright, especially related to AI and generative technology, is facing significant challenges and debates as seen in the case of Mickey Mouse entering the public domain.
  2. The extension of copyright laws, influenced by powerful entities like Big Tech and Disney, has complicated the landscape of creative ownership, legal protection, and digital expression.
  3. There is a growing need for proactive data rights, decentralized digital infrastructure, and a reevaluation of the role of copyright in shaping the future of technology and community interactions.

452: Constellation Software's Big Win, Big Tech Deep Value, Excel Era, TikTok & Bytedance, Herb Kelleher, LEGO, DALL-E 3, and Melatonin

Liberty’s Highlights • 589 implied HN points • 04 Oct 23
🕹 Technology Software AI Generative AI Financials Entertainment
  1. Consider replacing habits rather than trying to stop them cold turkey.
  2. Big Tech companies like Apple, Microsoft, Alphabet, Amazon, and Meta collectively generated impressive operating cash flow over the past decade.
  3. Be cautious with melatonin supplements as their actual content may vary significantly from what is labeled.

The winners and losers of the AI integration wars

TechTalks • 137 implied HN points • 24 Jan 24
🕹 Technology AI Integration Generative AI
  1. Tech giants are now focusing on integrating large language models and generative AI into their platforms and products for a competitive edge.
  2. 2024 will be about efficiency and product integration to determine the winners in the generative AI landscape.
  3. Major companies like Google, Microsoft, Apple, and Amazon are heavily investing in incorporating generative AI features into their products.

Update #70: Apple Shutters Autonomous EV Project and Griffin + Hawk Compete with Transformers

The Gradient • 24 implied HN points • 12 Mar 24
🕹 Technology AI Autonomous Vehicles Generative AI Research Studies Software Engineering
  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.

Quantum Computing and Generative AI: Prospects and Challenges

Rod’s Blog • 39 implied HN points • 22 Feb 24
🕹 Technology Quantum Computing Generative AI
  1. Quantum computing offers faster and more efficient processing of large and complex data sets, benefiting generative AI by enabling tasks like sampling, optimization, and linear algebra in a fraction of the time required by classical computers.
  2. Challenges for quantum computing in generative AI include scalability issues, lack of interpretability, and integration difficulties with classical systems, limiting their full potential.
  3. General availability of quantum computing could bring both enhanced benefits (like advanced data creation and model improvement) and increased risks (such as misuse, security threats, and quantum arms races) in generative AI and across various domains.