Artificial Ignorance

Artificial Ignorance is a comprehensive newsletter focusing on AI developments, offering critical insights into AI tools, models, industry trends, challenges, and regulations. It provides thought-provoking content on the practical applications of AI, its impact across various industries, ethical considerations, and the future of AI technology and policy.

AI Development and Applications Ethics and Regulation in AI AI in Industry and Commerce Advancements in Machine Learning AI Tools and Technologies Artificial Intelligence Safety and Concerns AI Impact on Society and Culture

The hottest Substack posts of Artificial Ignorance

And their main takeaways
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.
67 implied HN points 13 Mar 24
  1. Many of the best AI models and features are now hidden behind subscription paywalls, changing how we access and use powerful AI technologies.
  2. Leading AI companies like OpenAI, DeepMind, and Google offer paid versions of their chatbots with flagship models and extra features, contributing to the rise of subscription-based AI services.
  3. As the AI industry becomes saturated with monthly subscription options, consumers may experience 'subscription fatigue,' similar to what has happened with streaming services, leading to a complex decision-making process on which services to pay for.
121 implied HN points 14 Feb 24
  1. Living in the post-ChatGPT era led to a surge in AI news and development, creating a sense of fatigue among researchers and enthusiasts.
  2. Curate relevant and insightful sources to stay informed about AI without feeling overwhelmed by the constant influx of information.
  3. Experiment with new AI tools and technologies, but also know when to step back and not get caught up in trying to keep up with every single update and trend.
79 implied HN points 28 Feb 24
  1. The emergence of tools like Sora from OpenAI is revolutionizing video production with realistic outputs and seamless object interactions.
  2. Creating nature documentaries and other narrative videos through automated processes involving Sora, GPT-Vision, and ElevenLabs is becoming increasingly feasible.
  3. The future of entertainment and media is set to be transformed by AI-driven technologies, enabling faster video generation and real-time content creation for indie filmmakers and creators.
42 implied HN points 15 Mar 24
  1. Capable autonomous agents are an upcoming frontier in AI, with Devin showcasing potential in software development and SIMA displaying versatility in video games.
  2. OpenAI's board expands with new members, and the company makes strides in partnerships and technology development.
  3. Global concerns arise around the use of AI for bioweapons, leading to agreements to prevent misuse, alongside AI-related vulnerabilities and challenges in AI governance.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
142 implied HN points 18 Jan 24
  1. GPTs are valuable for improving productivity with advanced prompts, document uploads, and external APIs.
  2. Building a business solely around GPTs is challenging due to factors like limited IP protection, competition, and uncertain revenue sharing.
  3. The true potential of GPTs lies in internal company use cases, where they can enhance efficiency and workflow automation.
67 implied HN points 21 Feb 24
  1. Adding 10x capacity to a system unlocks new capabilities and prevents breaking, leading to fundamental changes.
  2. Gemini 1.5's 10x larger context window enables tasks like analyzing entire codebases, filtering massive datasets, and potentially building AI with better memory.
  3. Groq's custom AI chips achieve lightning-fast token generation, paving the way for real-time AI conversations, enhanced data handling, and possible use in finance, medicine, and robotics.
42 implied HN points 08 Mar 24
  1. Anthropic released Claude 3, a chatbot with impressive features like a 200K token context window, vision support, and multiple language capabilities.
  2. Stability AI launched Stable Diffusion 3 with a Multimodal Diffusion Transformer architecture, showcasing advancements in foundation models.
  3. The US government's charges against a former Google engineer highlight the ongoing concerns of intellectual property theft in AI, affecting relationships and technology transfers with China.
54 implied HN points 23 Feb 24
  1. Google faced criticism for its Gemini AI not depicting images of white people, prompting the company to pause that capability.
  2. Reddit made a $60 million content licensing deal with Google as part of its IPO plans, reflecting a trend in publishing deals for AI training purposes.
  3. Tech companies signed agreements to prevent deepfakes from impacting elections, with a focus on political deepfakes and the need for more regulations.
42 implied HN points 01 Mar 24
  1. User-generated content companies are capitalizing on the value of their posts and comments by offering them through licensing regimes.
  2. Tech giants like Google, Apple, Microsoft, and others are heavily investing in AI initiatives and tools to advance various industries.
  3. AI advancements are causing concerns regarding bias, safety, and potential misuse in areas like diverse data deals, model releases, and deepfakes.
113 implied HN points 10 Jan 24
  1. Logprobs are a way to represent likelihood with logarithms instead of percentages.
  2. Logprobs are useful for evaluating models, classifying content, and reducing hallucinations.
  3. They can also assist with token healing, autocomplete features, and model training accuracy.
58 implied HN points 16 Feb 24
  1. Google introduces Gemini 1.5, a powerful model with a context window of up to 10 million tokens, promising significant improvements in AI capabilities.
  2. OpenAI releases Sora, a text-to-video model that can create photorealistic videos and simulate the real world, showcasing advancements in video generation technology.
  3. US Patent and Trademark Office states that AI cannot be named as a patent inventor, aligning AI with being a tool and not a creative entity, impacting patent regulations and inventorship.
71 implied HN points 26 Jan 24
  1. The ease of creating AI-generated celebrity fakes is increasing, raising concerns about mainstream visibility and regulatory backlash.
  2. Partnerships like Google Cloud and Hugging Face aim to democratize machine learning tools, but details remain vague.
  3. Efforts are being made to establish US-based alternatives to overseas chip manufacturing to address supply chain constraints and geopolitical concerns.
54 implied HN points 09 Feb 24
  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.
84 implied HN points 12 Jan 24
  1. New AI device Rabbit R1 aims to replace smartphones with a large action model and Rabbit OS.
  2. OpenAI responds to a lawsuit arguing about fair use in model training which could impact AI companies.
  3. Concerns rise over AI clones in YouTube ads pushing scams, legal gray areas surrounding AI clones, and proposed legislation to protect voice and likeness rights.
58 implied HN points 31 Jan 24
  1. Benchmarks for large language models have limitations in reflecting real-world utility.
  2. Overfitting in benchmarks can hinder adaptability to new scenarios and tasks.
  3. Multi-modal capabilities are often lacking in benchmarks, missing out on testing language and image understanding together.
79 implied HN points 05 Jan 24
  1. DeepMind revealed new advances in robotics like the 'Robot Constitution' inspired by Isaac Asimov.
  2. AI influencers gaining traction could raise concerns about authenticity and ethical implications.
  3. OpenAI is making headlines with developments like launching the GPT Store and exploring AI art.
54 implied HN points 19 Jan 24
  1. A new Google Deepmind model named AlphaGeometry can solve International Math Olympiad problems at a near-gold medalist level.
  2. OpenAI is addressing concerns about AI in worldwide elections by focusing on preventing abuse, transparency of AI content, and improving access to voting information.
  3. Samsung's Galaxy Unpacked event introduced new AI features for Samsung phones, including live translation and AI-powered note organization.
92 implied HN points 26 Apr 23
  1. Dismiss the AI hype at your own risk, valuable technology in development
  2. AI practical usecases today surpass the impact of cryptocurrencies and blockchains
  3. AI has real potential and applications across various industries
37 implied HN points 05 May 23
  1. Geoffrey Hinton, a prominent figure in AI, discusses his concerns and regrets in The New York Times profile.
  2. The AI safety debate continues to be a significant topic of discussion among many people.
  3. Hinton's decision to leave Google after a long career in AI sheds light on the challenges and future of artificial intelligence.