The hottest Generative AI Substack posts right now

And their main takeaways
Top Technology Topics
TheSequence • 56 implied HN points • 25 Feb 24
  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.
Crypto Good • 3 implied HN points • 25 Feb 24
  1. Grant Orb is an AI grant writer that can create winning grant proposals in minutes with just a brief project outline, saving up to 95% of your time.
  2. AI is transforming the nonprofit sector by making grant writing more efficient and accessible to organizations of all sizes.
  3. Generative AI technology like Grant Orb can quickly and intelligently create compelling grant proposals, allowing organizations to focus more on their mission and fundraising goals.
The Algorithmic Bridge • 339 implied HN points • 21 Feb 24
  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.
Big Technology • 17388 implied HN points • 05 Jan 24
  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.
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AI Supremacy • 569 implied HN points • 06 Feb 24
  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.
Mathworlds • 1375 implied HN points • 17 Jan 24
  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.
The Algorithmic Bridge • 265 implied HN points • 07 Feb 24
  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.
Teaching computers how to talk • 119 implied HN points • 12 Feb 24
  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.
The Algorithmic Bridge • 700 implied HN points • 19 Jan 24
  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.
AI Supremacy • 1022 implied HN points • 06 Jan 24
  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.
Deep Learning Weekly • 648 implied HN points • 17 Jan 24
  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.
New World Same Humans • 37 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.
Gradient Ascendant • 9 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.
Conspirador Norteño • 33 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.
Synthedia • 39 implied HN points • 11 Feb 24
  1. Brilliant Labs' Frame Smart Glasses are designed to integrate generative AI, offering features missing in other smart glasses like AR functionality, visual recognition, and speech recognition.
  2. The competitive price point of $349 makes Frame Smart Glasses a strong contender in the market against other smart glasses like Snap Spectacles and Meta Ray-Bans.
  3. Smart glasses, unlike VR goggles, aim to augment the real world with digital services, leading to a potentially larger market and representing the next evolution in digital platforms.
In Bed With Social • 530 implied HN points • 24 Dec 23
  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.
TechTalks • 137 implied HN points • 24 Jan 24
  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.
Machine Economy Press • 2 implied HN points • 22 Feb 24
  1. Amazon has developed a new, massive text-to-speech model called BASE TTS with emergent abilities, enhancing its natural speech capabilities for AI assistants like Alexa.
  2. The 980 million parameter BASE TTS model is significant for audio and NLP advancements, as it's the largest text-to-speech model created so far.
  3. Text-to-speech and NLP innovations are paving the way for more human-like interactions with voice assistants, marking a shift towards ambient computing.
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.
ScaleDown • 3 implied HN points • 20 Feb 24
  1. Token-based pricing for LLM applications can be complex as it involves more than just input and output tokens. Consider additional factors like system prompts, context tokens, and evaluation tokens for accurate cost estimation.
  2. Estimating the price of a GenAI chatbot involves considering not only the direct input and output tokens but also context tokens, system prompts, and real-world applications like regeneration and error handling.
  3. When budgeting for GenAI applications, remember to include overheads like evaluation of outputs and guardrails in your cost analysis. These additional requirements can significantly increase the total token costs.
aidaily • 58 implied HN points • 22 Jan 24
  1. Mark Zuckerberg is focusing on building artificial general intelligence at Meta with substantial computing power.
  2. Samsung's Galaxy S24 series introduces AI features like generative image editing and Google search through photos.
  3. Discussion around the potential need for an AI tax due to job losses, cautioning against rushing into such decisions.
Marcus on AI • 5 HN points • 16 Feb 24
  1. The quality of the video produced by OpenAI's latest text-video synthesizer is impressive, almost indistinguishable from reality at a glance.
  2. OpenAI's lack of transparency on training models raises concerns about potential misuse for disinformation and propaganda, especially in upcoming events like the 2024 elections.
  3. Sora's unrealistic physics glitches indicate limitations in generative AI systems like Sora, demonstrating issues in understanding space, time, and causality crucial for building true AGI capabilities.
Liberty’s Highlights • 589 implied HN points • 04 Oct 23
  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.
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.