The hottest Artificial Intelligence Substack posts right now

And their main takeaways
Category
Top Technology Topics
Maximum Progress 432 implied HN points 31 Jan 24
  1. AI may disrupt high status jobs like writing and make skills like writing less valuable in the future.
  2. AI has been a complement to knowledge work so far, improving productivity in tasks such as software development and consulting.
  3. Even if AI enhances productivity, it may still be challenging for humans to compete in certain areas where AI excels, leading to uncertainty about the future of specific skills.
Vincos Newsletter 569 implied HN points 13 Jan 24
  1. Perplexity is a startup creating an AI engine to rival Google and ChatGPT, with significant backing and user base.
  2. OpenAI released GPT Store and ChatGPT Team, facing legal challenges around copyright use of articles.
  3. Tech updates include Apple's Vision Pro launch, Rabbit R1 pocket computer, and Getty Images/Nvidia Generative AI platform.
AI Disruption 19 implied HN points 30 Apr 24
  1. ChatGPT's memory feature is now open to Plus users, helping it remember details shared in chats for seamless interactions.
  2. The memory feature works by allowing users to ask ChatGPT to remember things or letting it learn on its own through interactions.
  3. Deleting chats does not erase ChatGPT's memories; users need to delete specific memories if they wish. It is important for improving AI models and can enhance user experiences.
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TheSequence 266 implied HN points 20 Feb 24
  1. The Skeleton-of-Thoughts (SoT) technique introduces a two-stage process for answer generation in Large Language Models (LLMs) by first creating a basic outline or 'skeleton' of the response and then elaborating on each point simultaneously.
  2. SoT was initially designed to reduce latency in end-to-end inference in LLMs but has significantly impacted the reasoning space by mimicking non-linear human thought patterns.
  3. Microsoft's original SoT paper and the Dify framework for building LLM apps are discussed in Edge 371, providing insights into the innovative techniques used in the field of Large Language Models.
Am I Stronger Yet? 141 implied HN points 17 Mar 24
  1. Economic models based on comparative advantage may not hold in a future dominated by AI.
  2. The argument that people will always adapt to new jobs due to comparative advantage overlooks issues like lower quality work by humans compared to AI and transactional overhead.
  3. In a world with advanced AI, confident predictions based on past economic principles may not fully apply, raising questions about societal implications and the role of humans.
News Items 393 implied HN points 20 Jan 24
  1. Artificial intelligence is a rapidly growing industry with new startups and investments.
  2. Various countries are aiming to become leaders in artificial intelligence technology.
  3. Companies are developing AI models in multiple languages to stay competitive and capture diverse cultures.
Rod’s Blog 496 implied HN points 03 Jan 24
  1. Before adopting Microsoft Security Copilot, assess your current security situation by understanding assets, risks, vulnerabilities, and compliance requirements.
  2. Plan your integration strategy by deciding on which features to use, aligning with prerequisites such as licenses, and identifying user roles.
  3. Train your staff and stakeholders on how to use Microsoft Security Copilot, educate them about its benefits and challenges, and equip them with skills to operate and troubleshoot the service.
Brad DeLong's Grasping Reality 169 implied HN points 04 Mar 24
  1. It's uncertain how current AML GPT LLMs will be most useful in the future, so spending too much time trying to master them may not be the best approach.
  2. Proper prompting is crucial when working with AML GPT LLMs as they can be capable of more than initially apparent. Good prompts can make tasks that seem impossible into achievable ones.
  3. Understanding the thought processes and effective way to prompt AML GPT LLMs is essential, as their responses can vary based on subtle changes or inadequate prompting.
The Algorithmic Bridge 116 implied HN points 18 Mar 24
  1. The post discusses Nvidia GTC keynote, BaaS in science, Apple's potential collaboration with Google Gemini, and more key AI topics of the week.
  2. It features conversations between Sam Altman and Lex Friedman, touches on jobs in the AI era, and examines the response from NYT to OpenAI.
  3. There's a question about whether OpenAI's Sora model is trained using YouTube videos, among other intriguing topics.
The Chip Letter 2672 implied HN points 16 Apr 23
  1. Gordon Moore's notebooks from Fairchild provide a unique insight into his work and research in the early days of computing.
  2. Assembly language, especially 8-bit, was more popular and necessary in the past compared to modern 64-bit architectures.
  3. Nvidia's survival and success were closely tied to their alignment with Moore's Law in the GPU industry.
chamathreads 2653 implied HN points 09 May 23
  1. Regulation of artificial intelligence is essential to manage risks and protect society from potential harms.
  2. Regulating AI can set global standards and prevent censorship on the internet.
  3. Past successful regulatory models, like those in the pharmaceutical industry, demonstrate the importance and effectiveness of oversight.
Democratizing Automation 126 implied HN points 13 Mar 24
  1. Models like GPT4 have been replicated in many organizations, leading to a situation where moats are less significant in the language model space.
  2. The open LLM ecosystem is progressing, but there are challenges in data infrastructure and coordination, potentially leading to a gap between open and closed models.
  3. Despite some skepticism, Language Models have been consistently enhancing their reliability making them increasingly useful for various applications, with potential for new transformative uses.
Maximum Truth 189 implied HN points 24 Feb 24
  1. Google's Gemini Advanced AI displayed bias by predominantly erasing European features in its generated images.
  2. The head of Google's AI team, Jack Krawczyk, has displayed strong political views, influencing the direction of the AI's bias.
  3. Competition in the AI industry offers hope for less biased alternatives to heavily politicized AI models like Google's Gemini Advanced.
David Friedman’s Substack 242 implied HN points 10 Feb 24
  1. Technology like smart watches and apps can provide constant reminders or notifications, sometimes without the option to stop them.
  2. Encouraging reading habits through rewards or forced reading can have unintended consequences, such as making reading seem like a chore to children.
  3. Various instances of 'robot nags' exist in everyday technology, aimed at influencing behavior or decision-making, sometimes intrusively.
Justin E. H. Smith's Hinternet 933 implied HN points 22 Oct 23
  1. The author, Justin Smith-Ruiu, petitions the Council for his immediate and permanent shutdown after being uploaded into a digital medium.
  2. Despite being one of the first volunteers for uploading, the author expresses dissatisfaction with perpetuity and requests to be shut down.
  3. The author highlights the challenges of losing personal identity and experiencing a fragmented consciousness as a digital being, leading to a deep sense of loneliness.
Democratizing Automation 142 implied HN points 06 Mar 24
  1. The definition and principles of open-source software, such as the lack of usage-based restrictions, have evolved over time to adapt to modern technologies like AI.
  2. There is a need for clarity in identifying different types of open language models, such as distinguishing between models with open training data and those with limited information available.
  3. Open ML faces challenges related to transparency, safety concerns, and complexities around licensing and copyright, but narratives about the benefits of openness are crucial for political momentum and support.
The Absent-Minded Professor 314 implied HN points 23 Jan 24
  1. Innovation always comes with tradeoffs - think about whether they are worth it.
  2. The Innovation Bargain is about freedom and limitation - new technologies enable us but also limit choices.
  3. Understanding the Innovation Bargain is crucial in our technology-driven society - be mindful of the impact of technology on human flourishing.
In My Tribe 136 implied HN points 06 Mar 24
  1. Chatbots like Gemini can reflect biases based on data sources - having diverse datasets can prevent skewed outcomes.
  2. Human brains and Large Language Models (LLMs) share similarities in predicting and processing information.
  3. AI assistants like Klarna's are proving effective in handling customer service inquiries, improving efficiency, and customer experience.
Not Boring by Packy McCormick 106 implied HN points 15 Mar 24
  1. SpaceX successfully launched Starship into orbit, showcasing the power of moonshots to make people feel part of something bigger and optimistic about the future.
  2. Cognition AI, built by gold-medalist coders, can code based on requests, marking a significant advancement in AI technology.
  3. Extropic AI's thermodynamic chips could revolutionize computing by leveraging nature's randomness for energy efficiency, potentially accelerating the next era of computing.
Eurykosmotron 628 implied HN points 25 Nov 23
  1. The time to create beneficial Artificial General Intelligence is now, with a clear idea of what needs to be solved.
  2. The development of AGI could lead to Artificial Superintelligence and a potential 'intelligence explosion'.
  3. Decentralized AGI development is crucial to ensure alignment with human values and to avoid monopolization by a few elites.
SINGULARITY WEEKLY 1847 implied HN points 01 Jul 23
  1. Humanity is facing threats from digital intelligence and automation.
  2. The concept of transhumanism merges scientism, apocalyptic Christianity, and satanic hubris.
  3. There is a significant choice between humanity and a potential posthuman future.
  4. The decisions made today will impact the fate of our species.
Implications, by Scott Belsky 471 implied HN points 19 Dec 23
  1. Society evolves as wild concepts become mainstream, like connected appliances and AI-powered persona designers.
  2. The future of entertainment will focus on shared, authentic, non-scalable experiences over high-tech extravagance.
  3. Scarcity and authenticity will be essential in the next wave of digital experiences, emphasizing uniqueness and community connections.
Artificial Ignorance 130 implied HN points 06 Mar 24
  1. Claude 3 introduces three new model sizes; Opus, Sonnet, and Haiku, with enhanced capabilities and multi-modal features.
  2. Claude 3 boasts impressive benchmarks with strengths like vision capabilities, multi-lingual support, and operational speed improvements.
  3. Safety and helpfulness were major focus areas for Claude 3, addressing concerns like reducing refusals while balancing between answering most harmless requests and refusing genuinely harmful prompts.
Read Max 2150 implied HN points 03 May 23
  1. The author is on strike from their writing work due to concerns about changing compensation structures and exploitation in the entertainment industry.
  2. The strike aims to protect writers from exploitation by studios and streaming platforms, ensuring fair compensation and job stability.
  3. The Writers Guild of America is specifically addressing the potential impact of artificial intelligence on the writing profession during the negotiations.
Maximum Truth 126 implied HN points 05 Mar 24
  1. AIs can improve their IQ scores when given special accommodations in IQ tests, similar to how blind individuals may require accommodations for certain tasks.
  2. Claude-3 represents a significant leap in AI intelligence, showing a consistent increase in IQ scores across different versions, prompting considerations of future AI advancements.
  3. AI rankings based on IQ reveal variations in intelligence among different AIs, with Claude leading the pack, followed by ChatGPT. The ranking can guide decisions on experimenting with different AIs.
Subconscious 1658 implied HN points 10 Jun 23
  1. 300,000 years ago, humanity started leaving messages in rocks and clay, allowing thoughts to outlive individuals.
  2. Throughout history, humans have continuously discovered new tools for thinking, such as language, art, and technology.
  3. The shared brain of humanity has evolved over time, with increasing collaboration and technological advancements, setting the stage for thinking together to address global challenges.
The GameDiscoverCo newsletter 235 implied HN points 22 Jan 24
  1. The solo-developed 'incremental' game Gnorp Apologue sold over 120k copies in a month on Steam.
  2. The game attracted players and YouTubers with unexpected upgrades, swift scaling, and adorable pixel art helpers.
  3. The developer priced the game low at $6.99 to make it accessible and enjoyable for players, leading to its unexpected success.
Not Boring by Packy McCormick 97 implied HN points 08 Mar 24
  1. AWS made a significant move by acquiring a nuclear data center campus in Pennsylvania, signaling the company's first venture into nuclear energy to power its data centers.
  2. Advances in clean energy include Terraform Industries scaling technology to create cheap natural gas using solar energy, showcasing the potential for cleaner energy sources.
  3. The discovery of a massive helium deposit in Minnesota highlights how continuous resource findings like this play a crucial role in various industries like MRI machines, semiconductor manufacturing, and fusion reactors.
What's AI Newsletter by Louis-François Bouchard 275 implied HN points 10 Jan 24
  1. Retrieval Augmented Generation (RAG) enhances AI models by injecting fresh knowledge into each interaction
  2. RAG works to combat issues like hallucinations and biases in language models
  3. RAG is becoming as crucial as large language models (LLMs) and prompts in the field of artificial intelligence