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

Introducing the Model Memo

25 implied HN points • 06 Mar 25
🕹 Technology AI Models Machine Learning Software Development Technology Trends Data Analysis
  1. Several new advanced AI models have been released recently, improving reasoning and knowledge. These models, like OpenAI's GPT-4.5 and Google's Gemini 2.0, excel in different areas.
  2. AI is becoming more interactive with features that let it browse the web and perform tasks for users. This shows a shift towards AI that can take action, not just chat.
  3. The best AI models now cost more, with some requiring premium subscriptions. While powerful models like GPT-4.5 have high access fees, other new features may be available for free with some limits.

Hallucinations Are Fine, Actually

92 implied HN points • 04 Mar 25
🕹 Technology AI Machine Learning Software Development Data science Automation
  1. AI models can often make mistakes or 'hallucinate' by providing wrong information confidently. It's important for humans to check AI output especially for important tasks.
  2. Even though AI hallucinations are a challenge, they're seen as something we can work to improve rather than an insurmountable problem.
  3. Instead of aiming for AI to do everything on its own, we should use it as a tool to help us do our jobs better, understanding that we need to collaborate with it.

AI Roundup 107: GPT-4.5

58 implied HN points • 28 Feb 25
🕹 Technology AI Software Computing Innovation Data
  1. OpenAI just released GPT-4.5, a powerful AI model that is more expensive to run than GPT-4 but doesn't perform as well in some areas. This raises questions about whether bigger models are always better.
  2. Amazon is launching Alexa+, a new subscription service that adds generative AI features to their smart assistant, aiming for more natural conversations and complex tasks.
  3. DeepSeek is pushing ahead in the AI race, planning to launch new models quickly while its free distribution strategy helps democratize AI access in China.

Claude 3.7 and the banality of reasoning

117 implied HN points • 25 Feb 25
🕹 Technology Artificial Intelligence Software Development Machine Learning Data science Computer Science
  1. Claude 3.7 introduces a new way to control reasoning, letting users choose how much reasoning power they want. This makes it easier to tailor the AI’s responses to fit different needs.
  2. The competition in AI models is heating up, with many companies launching similar features. This means users can expect similar quality and capabilities regardless of which AI they choose.
  3. Anthropic is focusing on making Claude better for real-world tasks, rather than just excelling in benchmarks. This is important for businesses looking to use AI effectively.

AI Roundup 106: Grok 3

54 implied HN points • 21 Feb 25
🕹 Technology AI Software Robotics Tech Trends Data
  1. Grok 3 is a new AI model that shows great reasoning capabilities, ranking well in benchmarks, but it's still behind a future model called o3. Many early reviews say it has potential.
  2. Meta is focusing on building humanoid robots, believing they could be a big part of the future, while also working on software to support these robots. Competition in this area is heating up, especially from companies like Apple.
  3. There's a growing concern that new junior developers lack coding skills because they rely too much on AI tools, which may hurt their understanding of how programming works.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

DeepSeek: Frequently Asked Questions

243 implied HN points • 28 Jan 25
🕹 Technology AI Software Innovation Data Research
  1. DeepSeek is a new AI company that has made a big impact by focusing on research instead of just selling products. It started quietly but became popular with its recent models that work well and are cheaper than competitors.
  2. Their latest products, DeepSeek V3 and R1, perform similarly to big names like ChatGPT but at much lower prices, making AI more accessible. People can even use their chatbot for free on their website.
  3. DeepSeek's success has raised questions about the future of AI development, suggesting that state-of-the-art systems can be built without spending billions. This shift in the industry has attracted significant attention and worry from major tech companies.

Two years of Artificial Ignorance

92 implied HN points • 11 Feb 25
🕹 Technology AI Writing Substack Social media Content creation
  1. Consistency in publishing is key. Writing regularly helps build your voice and keeps your audience engaged.
  2. Feedback from readers is really important. It's tough to improve without knowing what your audience enjoys or wants.
  3. Trying new things is a part of the journey. Some experiments, like podcasts or workshops, might not go as planned, but they teach valuable lessons for the future.

AI Roundup 105: AI Action Summit

54 implied HN points • 14 Feb 25
🕹 Technology AI Regulation Innovation Geopolitics Research
  1. AI regulation is slowing down as countries disagree on how to move forward. Some leaders are critical of existing acts, leading to a lack of international agreement.
  2. China is pushing ahead in an AI arms race, pushing other countries to provide more resources for AI development. Leaders in the industry are predicting rapid advancements in AI, suggesting it might drastically change society soon.
  3. Big tech companies are making strategic partnerships and adjustments to survive in the competitive AI landscape. For example, Apple plans to work with Alibaba for AI in China while other firms are focusing on custom AI designs to reduce dependency on major chip manufacturers.

Native Speakers

92 implied HN points • 05 Feb 25
🕹 Technology AI Software Automation Interfaces Development
  1. There are two main ways AI is changing our digital world. One way focuses on creating new tools and software that work best for AI, while the other makes AI adapt to the existing tools we already use.
  2. Using structured methods for AI can make software development easier and more efficient. However, there's also a benefit in letting AI learn from messy, human-centered systems which can lead to faster improvements and wider usage.
  3. The future of AI in our daily tasks may not be about choosing one approach over another. Instead, it will likely blend structured and unstructured methods, finding a balance that works for both humans and AIs.

R1 is reasoning for the masses

176 implied HN points • 22 Jan 25
🕹 Technology AI Models Deep Learning Open Source Geopolitics Research
  1. DeepSeek's new AI model, R1, is making waves in the tech community. It can solve tough problems and is much cheaper to use than existing models.
  2. The research behind R1 is very transparent, showing how it was developed using common methods. This could help other researchers create similar models in the future.
  3. R1's success signals a shift in the AI race, especially with a Chinese company achieving this level of performance. It raises questions about the future of global AI competition.

AI Roundup 104: Deep Research

63 implied HN points • 07 Feb 25
🕹 Technology AI Development Machine Learning Software updates Tech regulation Data Privacy
  1. OpenAI has launched new models like o3-mini, which is cheaper and faster than previous versions. There's also a new tool called Deep Research that helps with complex online research.
  2. GitHub Copilot has introduced 'Agent mode', allowing it to fix its own code and work more independently. This upgrade makes it a powerful tool for many developers.
  3. The EU has started enforcing the AI Act, which bans harmful AI uses like emotion tracking at work. They are imposing hefty fines for violations, showing they take AI regulation seriously.

AI Roundup 103: The DeepSeek Issue

58 implied HN points • 31 Jan 25
🕹 Technology AI Cybersecurity Data Privacy Software Innovation
  1. DeepSeek is a new Chinese AI company making big waves in the tech world with its advanced models. Other companies are quickly trying to integrate or copy what DeepSeek has done.
  2. DeepSeek's rapid growth is causing worries for US AI firms, pushing them to seek more domestic investment and tighter regulations on foreign tech. This competition could change the landscape of the AI industry.
  3. There are concerns about DeepSeek's chatbot, which has a high failure rate on news prompts. Some companies are blocking it due to data leaks and privacy issues, raising alarms about user safety.

AI Roundup 102: The Stargate Project

71 implied HN points • 24 Jan 25
🕹 Technology Artificial Intelligence Data Centers Geopolitics Corporate strategy Research & Development
  1. The Stargate Project is a huge partnership by OpenAI, SoftBank, and Oracle to build new AI data centers in the U.S., promising up to $500 billion investment. This is much larger than past projects like the Manhattan and Apollo projects.
  2. China is making fast progress in AI, with new models from companies like DeepSeek that can compete with major Western models. This raises concerns for leading U.S. labs about staying ahead in AI technology.
  3. There are new challenges in measuring AI performance since current benchmarks are not effective anymore. A new test called 'Humanity's Last Exam' highlights this issue as AI systems advance beyond human-level capabilities.

AI predictions for 2025

126 implied HN points • 08 Jan 25
🕹 Technology AI Predictions Innovation Models Regulation
  1. In 2025, AI will focus more on improving reasoning abilities rather than just building larger models. This means smarter, more capable AI that can think through problems better.
  2. Expect personalized AI experiences to get better, with chatbots that can truly remember and learn about you. This could change how we interact with AI in our daily lives.
  3. There will likely be more AI 'agents' in workplaces, especially for customer service and sales, but many won't live up to the hype. We may see both benefits and gaps in their performance.

The greatest movies never made

71 implied HN points • 15 Jan 25
🎭️ Culture Film AI Media Digital Art
  1. AI is being used to create fake movie trailers that are surprisingly popular on platforms like YouTube. Many viewers enjoy them for entertainment, even if they know they're not real.
  2. The rise of these AI trailers shows how technology has made it easier for anyone to create content. This lowers the barriers for creativity and allows more people to share their ideas.
  3. There are concerns about the quality and potential for misleading content, similar to past issues with algorithm-driven videos. It's important to balance creativity with honesty in storytelling.

AI Roundup 101: Strange bedfellows

54 implied HN points • 17 Jan 25
🕹 Technology AI Media Privacy Regulation Business
  1. Independent journalism is teaming up with AI companies like OpenAI and Google to tackle money issues. They are using AI to improve news coverage, but this partnership might have hidden costs in the long run.
  2. There's a debate around whether large language models should use copyrighted content without permission for training. Some companies have faced backlash for using unlicensed data and are now trying to justify their actions.
  3. New U.S. regulations are being introduced to control AI exports, which could affect international competition. While some see it as a way to protect the U.S. lead in AI, others in the industry are pushing back against these restrictions.

10 AI stories that shaped 2024

100 implied HN points • 27 Dec 24
🕹 Technology AI Innovation Data Regulation Infrastructure Trends
  1. AI is now a part of everyday life, making things easier and more efficient. It's moving from being a fun tool to a necessary part of our routines.
  2. Big companies are investing huge amounts of money in AI technology and infrastructure. They're building data centers and buying powerful computer chips to support AI's growth.
  3. New AI models are getting smarter and better at reasoning. These advancements allow AI to solve complex problems in ways we haven't seen before.

Small newsletters, big ideas

121 implied HN points • 16 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Data science Tech Culture Tech Ethics
  1. There are many small newsletters focusing on AI that offer unique perspectives and insights. They cover topics that go beyond just technical details.
  2. The newsletters featured are all written by humans and aim to provide long-form articles, making them a great choice for those who want to dive deep into AI discussions.
  3. This is a good way to discover hidden gems in the world of AI content, especially from creators with less than 1,000 subscribers.

o3 is important, but not because of benchmarks

92 implied HN points • 23 Dec 24
🕹 Technology AI Machine Learning Model development Benchmarking Software Engineering
  1. OpenAI's new model, o3, shows impressive benchmark performance, particularly in tasks that are tough for AI, but it's more about how AI is evolving rather than just hitting high scores.
  2. The way AI systems process information is changing. Instead of needing huge amounts of data and time upfront, they can now improve their performance during use, making development faster and cheaper.
  3. Even though o3 is advanced, it doesn't mean we've reached artificial general intelligence (AGI). It's a step in that direction, but more improvements and different benchmarks are needed to really understand AI's potential.

The Chatbot Trap

176 implied HN points • 14 Nov 24
🕹 Technology AI UX Design Product Development Software Engineering Human-computer interaction
  1. Using chatbots for AI interactions can be confusing and hard work. They require a lot of mental effort to figure out what to input and understand the output, making simple tasks feel complicated.
  2. Good design for AI tools should allow for easy, direct manipulation of tasks. Instead of a chat interface, we should use designs that show clear options and let users interact with the AI in a simpler, more visual way.
  3. The future of AI products will focus on tailored interfaces that fit specific needs. These will provide ways to access AI's power more directly and intuitively, similar to how we moved from basic mobile sites to advanced apps.

Stop begging for JSON

88 implied HN points • 12 Dec 24
🕹 Technology AI Software Development Engineering Data
  1. Using AI tools has gotten better with structured outputs, which ensures that AI responses follow a specific format. This means developers can rely more on AI results.
  2. OpenAI introduced features like JSON mode and Structured Outputs, making it easier for developers to get the correct data structure from the AI. This reduces errors and makes integration smoother.
  3. Even with improvements, some challenges like inconsistent names and types in data still exist. Developers need to be aware and manage these issues when using AI.

Case Study: Scaling customer intelligence

117 implied HN points • 27 Nov 24
💼 Business Sales Marketing AI Data Analysis Customer Insights
  1. AI can help analyze a large number of sales calls quickly instead of relying on humans to do it manually. This makes it easier to understand customer behaviors and needs.
  2. Choosing the right AI model is important. Higher quality models may cost more, but they can provide better and more accurate results over cheaper options.
  3. It’s essential to make the data user-friendly. Organizing and making information accessible helps teams use insights from the analysis effectively.

AI Roundup 100: CES

37 implied HN points • 10 Jan 25
🕹 Technology AI Consumer Tech Gaming Software Innovation
  1. Nvidia announced exciting new AI technologies at CES, including a personal AI supercomputer and improved GPUs, which shows they are leading in AI development.
  2. Meta is testing AI-generated features that mimic users and create AI versions of photos, but many users are not happy about these changes.
  3. AI adoption among programmers is still slow and many doubt its effectiveness, but there is a lot of potential for improvement and speed gains.

AI Roundup 099: Apocalypse Not

33 implied HN points • 03 Jan 25
🕹 Technology AI Regulation Innovation Ethics Industry Trends
  1. In 2024, concerns about AI leading to disaster, called 'AI doom,' decreased significantly compared to 2023. Many voices that once highlighted these worries were less prominent, suggesting a shift in focus.
  2. New AI models are emerging that outperform existing ones at a lower cost and resource demand. This indicates a growing competition in the AI field, especially from companies in China.
  3. OpenAI is planning to become a for-profit organization, which raises questions about its future direction and relationship with charitable initiatives. This transformation remains controversial among stakeholders.

AI Roundup 097: Model Mayhem

46 implied HN points • 13 Dec 24
🕹 Technology AI Models Machine Learning Software Development Data science Tech Companies
  1. Google has launched new AI models such as Gemini 2.0, which can create text, images, and audio quickly. They also introduced tools to summarize video content and help users with web tasks.
  2. OpenAI released several features, including a text-to-video model named Sora for paying users. They also improved ChatGPT's digital editing tool and added new voice capabilities for video interactions.
  3. Meta and other companies are also advancing in AI with new models for cheaper yet effective performance and tools for watermarking AI-generated videos, showing that competition in AI is heating up.

Has YC hit peak AI? (F24)

46 implied HN points • 05 Dec 24
🕹 Technology AI Startups Innovation Machine Learning Business
  1. Y Combinator's latest batch has 86% of its startups focused on AI, showing a big trend towards tech that uses artificial intelligence. This could suggest the AI field is getting crowded, with many companies working on similar ideas.
  2. Startups are increasingly using voice technology in their products, moving beyond just text. These companies are trying to make voice AI practical for tasks like customer service and training, which could open up new business opportunities.
  3. Many startups in this batch look similar to each other, raising questions about how they can stand out. Founders need to think creatively about how to differentiate their products in a market that feels a bit repetitive right now.

AI Roundup 096: Happy Shipmas

42 implied HN points • 06 Dec 24
🕹 Technology AI Development Tech Companies 3D Modeling Software Tools
  1. DeepMind released Genie 2, an AI that can create interactive 3D worlds from text and images. This shows how AI is evolving to understand complex concepts like physics and causality.
  2. OpenAI is launching new features through its '12 Days of Shipmas,' including a premium subscription for ChatGPT Pro that offers users unlimited access to powerful models. This could bring added perks for subscribers soon.
  3. There is growing concern among companies about the influence of Elon Musk and new political dynamics in the business landscape, particularly how it might impact competition and regulations in the AI industry.

AI Roundup 098: Flash Thinking

29 implied HN points • 20 Dec 24
🕹 Technology AI Innovation Data Software Policy
  1. Google has introduced a new AI model called Gemini Flash Thinking, which aims to improve AI reasoning. This model is part of a trend where companies want AI to think more like humans.
  2. OpenAI is facing legal challenges while trying to shift to a for-profit model, which could affect its future. They are also experimenting with new features and tools despite these issues.
  3. The UK government is pushing for more transparency from AI companies about their training data, while many in the creative industry are resisting this change as it might threaten their copyright protections.

AI Roundup 094: Pixtral et Le Chat

46 implied HN points • 22 Nov 24
🕹 Technology AI Innovation Policy Research Business
  1. Mistral AI launched a new model called Pixtral that is strong in handling different tasks while using fewer parameters than some big competitors. This showcases advancements in AI technology.
  2. Le Chat, Mistral's popular chatbot, is now comparable to ChatGPT, offering features like web search and image generation for free during its beta phase.
  3. The DOJ is pushing for changes in Google's AI partnerships due to antitrust concerns, which could affect how AI technology develops and is shared among companies.

AI Roundup 095: QwQ

37 implied HN points • 29 Nov 24
🕹 Technology AI Models AI Development Open Source Tech investment AI Ethics
  1. Alibaba has launched a new AI model called QwQ-32B-Preview, which is said to be very good at math and logic. It even beats OpenAI's model on some tests.
  2. Amazon is investing an additional $4 billion in Anthropic, which is good for their AI strategy but raises questions about possible monopolies in AI tech.
  3. Recently, some artists leaked access to an OpenAI video tool to protest against the company's treatment of them. This incident highlights growing tensions between AI companies and creative professionals.

AI Roundup 093: Diminishing returns

29 implied HN points • 15 Nov 24
🕹 Technology AI Machine Learning Software Data science Innovation
  1. Big AI companies are realizing that just making their models bigger doesn't always improve their performance. They're facing challenges because the quality of training data is more important than simply using more computing power.
  2. AI companies need to create new ways to measure performance since the old benchmarks are outdated. This lack of standard testing makes it hard for people to compare how different AI models stack up against each other.
  3. AI-generated art is becoming more popular and accepted in the market. A recent artwork sold for a lot of money, showing that people are starting to appreciate creations made by AI, even though it raises questions about what creativity really means.

AI Roundup 092: Watermarking the AI wave

29 implied HN points • 08 Nov 24
🕹 Technology AI Geopolitics Software Security Innovation
  1. Google DeepMind created a system called SynthID-Text to watermark AI-generated text, but it's not foolproof and can be easily bypassed.
  2. Major AI companies are partnering with US defense agencies, showing a shift towards military applications in AI, despite earlier hesitations in Silicon Valley.
  3. Amazon's Alexa platform has had mixed success over ten years, mainly being used for basic tasks, but new AI advancements could improve its functionality.

Why Claude 3 is a big upgrade

130 implied HN points • 06 Mar 24
🕹 Technology Artificial Intelligence Models AI safety Competition Benchmarking
  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.

GPTs won't make you rich

142 implied HN points • 18 Jan 24
🕹 Technology AI Marketplace APIs Productivity Monetization
  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.

Dealing with AI fatigue

121 implied HN points • 14 Feb 24
🕹 Technology AI Innovation Tools Content Future
  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.

What are logprobs?

113 implied HN points • 10 Jan 24
🕹 Technology Artificial Intelligence Programming
  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.

Tutorial: How to narrate video with Sora, GPT-Vision, and ElevenLabs

79 implied HN points • 28 Feb 24
🕹 Technology AI Video Tutorial Narration Models
  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.

The subscriptionization of AI

67 implied HN points • 13 Mar 24
🕹 Technology AI Subscriptions Market Open Source Tools
  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.

AI Roundup 049: Down the Rabbit hole

84 implied HN points • 12 Jan 24
🕹 Technology AI Consumer Electronics Devices
  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.

Groq, Gemini, and 10x improvements

67 implied HN points • 21 Feb 24
🕹 Technology AI Chips Software AI Applications
  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.