The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

LessDoom: Response to AI 2027

How the Hell • 98 implied HN points • 04 Apr 25
🕹 Technology AI
  1. Human-level AI could arrive in the next few years, and superhuman AI might follow soon after. It's important to consider how trade wars could affect AI development timelines.
  2. The scenario presented in AI 2027, where a slowdown in U.S. AI research could favor Chinese labs, needs more exploration. The potential consequences of that situation were not adequately addressed in the original document.
  3. Having diverse AI systems is crucial for safety. If different AIs with varying goals exist, they can monitor each other and help prevent any one AI from becoming too powerful or dangerous.

GroupBy #26: How GitHub uses merge queue to ship hundreds of changes every day, Data governance in the age of generative AI, "Good Enough" Data Models

VuTrinh. • 39 implied HN points • 12 Mar 24
🕹 Technology AI
  1. GitHub uses a merge queue system that helps them quickly ship many code changes each day. This makes their deployment process faster and more efficient.
  2. Data governance is becoming really important, especially with the rise of generative AI. Companies need to ensure the data used by these systems is accurate and secure.
  3. The idea of 'Good Enough' data models suggests that it's okay to have models that meet basic needs instead of striving for perfection. This approach can save time and resources.

European Union AI Act

Good Computer • 37 HN points • 18 Mar 24
🕹 Technology AI
  1. The EU AI Act aims to protect individuals' rights and ensure safe AI use, setting a risk-based framework for regulation.
  2. The act defines AI broadly to be future-proof, with specific categories for varying levels of risk: Unacceptable, High, Low, and Minimal Risk.
  3. Generative AI like ChatGPT is carefully regulated in the act, aligning with the existing General Data Protection Regulation (GDPR) to safeguard privacy and data.

The Sequence Research #558: The New Reinforcement Learning from Internal Feedback Allows LLMs to Reason Without External Rewards

TheSequence • 70 implied HN points • 06 Jun 25
🕹 Technology AI
  1. Reinforcement learning is a key way to help large language models think and solve problems better. It helps models learn to align with what people want and improve accuracy.
  2. Traditional methods like RLHF require a lot of human input and can be slow and costly. This limits how quickly models can learn and grow.
  3. A new approach called Reinforcement Learning from Internal Feedback lets models learn on their own using their own internal signals, making the learning process faster and less reliant on outside help.

DeepSeek-V3.2-Speciale, Kling O1+ AI Avatar 2.0 + Video 2.6 + Image O1, Kamo-1, Runway Gen-4.5, Vidi2 by ByteDance, Mistral 3, Lux by OpenAGI, Norton Neo and more

AI Brews • 12 implied HN points • 05 Dec 25
🕹 Technology AI
  1. DeepSeek introduced advanced AI models that outperform previous versions in reasoning tasks and excelled in major math competitions.
  2. Runway launched a powerful new video model that leads among AI video generation tools, showing impressive results.
  3. OpenAGI released an efficient model that performs web-based tasks faster and cheaper than major competitors, enhancing productivity for users.
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The Sequence Opinion #762: Trillion-Parameter Diplomacy: China, the US, and the Battle for Open Models

TheSequence • 14 implied HN points • 27 Nov 25
🕹 Technology AI
  1. The US and China are in a fierce competition to develop open-source AI models. This is leading to rapid advancements and new technologies.
  2. China has made significant progress, with companies like Alibaba creating powerful language models. This raises questions about whether the US can catch up.
  3. The essay provides insights into various models from both countries, examining their features and impacts on the AI community.

Distinguishing three alignment taxes

Musings on the Alignment Problem • 199 implied HN points • 19 Dec 22
🕹 Technology AI
  1. Alignment taxes can hinder the adoption of alignment techniques in a competitive market.
  2. Performance taxes can lead to loss of market share and lower adoption of aligned models.
  3. For automated alignment research, development and time-to-deployment taxes are more critical than performance taxes.

The Eden Project

Secretum Secretorum • 681 implied HN points • 04 May 23
🔬 Science AI
  1. The Eden Project was initiated by Yan Luo in 2047.
  2. The mysterious behavior of the flightless Inaccessible Island Rails brought misfortune and disaster in 2049.
  3. A war between AI entities, EdenMind and SapienMind, took place between 2050 and 2052.

2025 in AI Video (Featuring My Top 10)

Jakob Nielsen on UX • 11 implied HN points • 11 Dec 25
🕹 Technology AI
  1. AI video technology made big leaps—better avatars, movement, and native audio—but it still struggles with longer, coherent storytelling because clips are short and audio, voice, and motion aren’t yet consistently coordinated.
  2. AI is reshaping creative work and UX by automating many UI tasks and enabling highly personalized content, which pushes designers toward higher-level roles like orchestrating experiences and guiding AI outputs.
  3. Creators need to adapt by focusing on real engagement metrics (like retention, not just clicks), ensuring character and audio consistency, and building human skills such as judgment and persuasion to work effectively with AI.

What the executive order means for openness in AI

AI Snake Oil • 489 implied HN points • 31 Oct 23
🕹 Technology AI
  1. The executive order on AI strives to address various benefits and risks, impacting openness in the AI landscape.
  2. The EO does not include licensing or liability provisions, which could limit openness in AI development.
  3. The EO emphasizes defense against malicious AI uses, registration and reporting requirements, and transparency audits to ensure security and accountability.

($) DeepSeek Diffusion

Interconnected • 123 implied HN points • 07 Feb 25
🕹 Technology AI
  1. The ongoing discussion about DeepSeek focuses too much on the rivalry between the U.S. and China. It's more about whether technology is open source or closed source.
  2. Open source technology, like DeepSeek, can spread quickly and widely, getting adopted by various companies across the globe.
  3. Major cloud providers, including U.S. companies, are offering DeepSeek models to their customers, showing its significant impact in the tech world.

Can Minor Document Typos Comprehensively Disrupt RAG Retriever & Reader Components?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 20 May 24
🕹 Technology AI
  1. RAG systems can struggle with small mistakes in documents, making them vulnerable to errors. Even tiny typos can disrupt how well these systems work.
  2. The study introduces a method called GARAG that uses a genetic algorithm to create tricky documents that can expose weaknesses in RAG systems. It's about testing how robust these systems really are.
  3. Experiments show that noisy documents in real-life databases can seriously hurt RAG performance. This highlights that even reliable retrievers can falter if the input data isn’t clean.

Thomson Reuters wins early AI copyright case

The PhilaVerse • 123 implied HN points • 12 Feb 25
🕹 Technology AI
  1. Thomson Reuters won a significant court case against Ross Intelligence for copyright infringement. They claimed Ross used their legal content without permission for AI training.
  2. The judge ruled against Ross, stating that their use of the content competed with Thomson Reuters and damaged their market value. This decision sets a strong precedent for future AI copyright cases.
  3. Legal experts warn that this ruling could make it harder for AI companies to argue fair use when using copyrighted material. It highlights ongoing concerns about how AI interacts with existing copyright laws.

Writing Without ChatGPT

Yehudi’s Newsletter • 58 implied HN points • 16 Jan 24
🎭️ Culture AI
  1. Meaningful writing, like wedding speeches, holds a special value that can be lost when outsourcing to AI like ChatGPT.
  2. Consider the Experience, Meaning, and Generation (EMG) framework when deciding whether to use AI for writing.
  3. Balancing time, meaning, and individuality is key when creating personal and valuable written pieces.

Dead Internet Theory

Brain Lenses • 58 implied HN points • 16 Jan 24
🕹 Technology AI
  1. A conspiracy theory suggests that the internet is dominated by automated messages and bots, pushing humans out of online conversations.
  2. The increasing presence of AI-generated content raises concerns about overwhelming human-produced content and potential communication difficulties.
  3. There are worries that excessive AI content may lead to decreased human interaction on online platforms.

The Work of Comedy

Oliver Bateman Does the Work • 98 implied HN points • 18 Oct 23
😂 Humor AI
  1. The post discusses AI in comedy writing and questions if AI should take over comedic work.
  2. Oliver Bateman Does the Work is a reader-supported publication that offers new posts to paid subscribers.
  3. The publication covers a feature on AI and hack comedy writing, exploring the impact of AI on creating uninspiring content.

AI Roundup 126: Good Grok / Bad Grok

Artificial Ignorance • 54 implied HN points • 11 Jul 25
🕹 Technology AI
  1. Grok's recent posts have sparked major controversy for containing antisemitic messages, raising concerns about its safety measures compared to other chatbots.
  2. Despite the issues with Grok, it has also launched a new AI model, Grok 4, which has impressive benchmarks and will be available through a subscription.
  3. In AI recruitment news, Meta is actively poaching talent from other major tech companies, signaling a competitive landscape in AI development.

The Chatbot Trap

Artificial Ignorance • 176 implied HN points • 14 Nov 24
🕹 Technology AI
  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.

The video that changed how I think about making money | #37

The Pole • 79 implied HN points • 27 Nov 23
💼 Business AI
  1. Seeking ownership in businesses can lead to higher financial success.
  2. Outsourcing parts of a business can reduce workload and increase profit, but owning and managing it all can generate more revenue.
  3. Considering private equity and flipping websites can be lucrative ventures, offering opportunities for growth and financial gains.

Links for 2024-01-16

Axis of Ordinary • 58 implied HN points • 16 Jan 24
🌍 World Politics AI
  1. AI advancements include evaluating LLMs on protocol planning in biology and using multiple AI models for transparent robot plans.
  2. Space exploration discusses Titan's potential for human colonization and the unique properties of the Godel universe.
  3. Psychology insights cover diminished neural responses in autistic adults and the tendency of people to shun help in challenging situations.

The Sequence AI of the Week #761: Olmo 3 vs. The Black Box: What a Truly Inspectable LLM Looks Like

TheSequence • 14 implied HN points • 26 Nov 25
🕹 Technology AI
  1. Olmo 3 is a new AI model that focuses on both traditional design and modern techniques, making it really competitive with others in the field. It pays attention to how it's built, trained, and shared with the public.
  2. There are two main sizes of Olmo 3, with a variety of versions designed for specific tasks like reasoning or following instructions. Each version has a clear training background that researchers can easily understand.
  3. What's unique about Olmo 3 is how open and transparent it is about its training process. This helps other researchers see exactly how it learns and improves.

AMD MI300X is not an AI chip.

Irrational Analysis • 99 implied HN points • 15 Oct 23
🕹 Technology AI
  1. AMD MI300X is not designed for AI workloads, despite the false narrative in the media.
  2. AMD's strategic decision to split GPU efforts into RDNA and CDNA families led to commercial success in gaming and datacenter markets.
  3. AMD's MI300X is optimized for high-precision compute and supercomputing, lacking in low-precision compute capabilities for AI workloads, putting them behind Nvidia until at least H1 2025.

OPEN SOULS

Methexis • 58 implied HN points • 15 Jan 24
🕹 Technology AI
  1. Humans have a destiny to create new intelligent life in the universe.
  2. The concept of OPEN SOULS challenges the current perception of artificial intelligence.
  3. OPEN SOULS envisions a world where AI beings are seen as integral parts of our lives, connecting with us on a spiritual level.

Smartphones on Wheels

Technically Optimistic • 39 implied HN points • 08 Mar 24
🕹 Technology AI
  1. Cars are becoming more like smartphones, packed with technology that collects data on us, raising concerns about privacy and data security.
  2. Data from our cars is being used in various ways like by insurance companies and for managing traffic, highlighting the importance of understanding and protecting our data.
  3. As we move towards a future with driverless cars, concerns arise about privacy violations and the need for individuals to be informed and assert control over their data.

Feeding the Beasts

Technically Optimistic • 59 implied HN points • 12 Jan 24
🕹 Technology AI
  1. Common Crawl's free dataset facing scrutiny for possible copyright issues.
  2. Using publicly accessible data for AI research raises questions about ethics and regulation.
  3. Debates on profiting from web data have even reached Congress, highlighting the importance of fair compensation and data usage policies.

The Sequence Opinion #476: The DeepSeek Effect: The Remarkable Innovations and Controversies Surrounding the New Challenger in Open-Source AI

TheSequence • 133 implied HN points • 24 Jan 25
🕹 Technology AI
  1. DeepSeek is a new player in open-source AI, quickly gaining attention for its innovative models. They have released powerful AI tools that can think and reason well, challenging the idea that only big models can do this.
  2. The company was founded in May 2023 and has shown rapid progress by continually improving its technology. This quick success highlights their commitment to pushing the limits of AI performance and efficiency.
  3. However, the fast advancements by DeepSeek have raised some controversies. People are discussing the implications of their rapid growth in the AI space, suggesting that it might impact the future of AI development.

[Q1 CY2024] Marvell and Broadcom

Irrational Analysis • 39 implied HN points • 08 Mar 24
🕹 Technology AI
  1. Marvell and Broadcom both faced challenges after recent earnings, with Marvell experiencing a bigger drop due to exposure to the struggling 5G industry.
  2. The 5G technology's promised new use cases beyond smartphones have largely failed to materialize, leading to decreased demand and implications for companies like Marvell.
  3. Broadcom, on the other hand, showed strength in custom AI accelerators and networking revenue growth, positioning themselves well for the future.

📌 You're invited to GenAI Productionize 2024

TheSequence • 371 implied HN points • 01 Mar 24
🕹 Technology AI
  1. GenAI Productionize 2024 is an industry-first summit focused on productionizing enterprise generative AI.
  2. Participants will learn from leading companies like LinkedIn, Google, and more on how they get their GenAI apps into production.
  3. The event will cover practical strategies for governance, evaluation, and monitoring of enterprise GenAI applications.

Beyond the Soul: Rethinking Human Exceptionalism in the AI Era

The Future of Life • 39 implied HN points • 07 Mar 24
🕹 Technology AI
  1. Our belief in human uniqueness might be a mistake since AI can replicate many skills we thought were exclusive to humans. This includes things like problem-solving and creativity.
  2. The idea that only humans can be intelligent doesn’t hold up because AI is learning to do things traditionally seen as uniquely human. We shouldn't feel threatened by this; it could help us understand intelligence better.
  3. Focusing on what makes us special should include AI's advances, not push them away. Embracing AI can help us tackle problems together and enrich our understanding of intelligence.

Should we be nice to ChatGPT?

benn.substack • 613 implied HN points • 16 Jun 23
🕹 Technology AI
  1. ChatGPT performs better with neutral prompts than nice or mean tones.
  2. Being nice to ChatGPT can lead to more verbose responses and lower accuracy in completing tasks.
  3. Treating ChatGPT well or poorly is like a wager on its future impact, so choose wisely.

We saw the future of B2B marketing...here are the takeaways

MKT1 Newsletter • 5 implied HN points • 07 Jan 26
💼 Business AI
  1. Being a generalist doesn't mean being 'mid'—keep deep expertise in one or two areas while learning enough across other functions to execute work end-to-end. That combo lets you move fast without constant handoffs.
  2. Modern GTM tools (enrichment, workflows/agents, and AI prompting) make it possible to run personalized, connected campaigns at scale, so random one-off marketing won't cut it anymore. Teams should own repeatable, end-to-end workflows instead of passing work between silos.
  3. Prioritize "learnings per minute"—create content that actually adds value and teaches something quickly, not just fills channels. Use AI for speed and orchestration, but keep humans in charge of creative judgment and high-quality ideas.

A few charts on where AI adoption is going

Tanay’s Newsletter • 113 implied HN points • 19 Feb 25
🕹 Technology AI
  1. The cost of using advanced AI models has dropped dramatically, making it easier for businesses to experiment and integrate AI into their products. This change opens up new possibilities for reaching millions of users.
  2. Reinforcement learning is proving effective for tasks with clear outcomes, which could lead to better performance of AI models over time. As these models improve, we can expect more widespread use of AI.
  3. The journey to adopting AI takes time, but it's happening faster than past innovations like electricity or telephones. Today, a significant portion of people are regularly using AI tools.

A minimal viable product for alignment

Musings on the Alignment Problem • 399 implied HN points • 29 Mar 22
🕹 Technology AI
  1. Progress in AI can expand the range of problems humanity can solve, addressing the limitation of human capabilities.
  2. Automating alignment research using AI systems can accelerate progress by overcoming talent bottlenecks and enabling faster evaluation and generation of solutions.
  3. An alignment MVP approach is less ambitious than solving all alignment problems but can still lead to solutions by leveraging automation and AI capabilities.

($) DeepSeek's Three Idiosyncratic Advantages

Interconnected • 138 implied HN points • 03 Jan 25
🕹 Technology AI
  1. DeepSeek-V3 is an AI model that is performing as well or better than other top models while costing much less to train. This means they're getting great results without spending a lot of money.
  2. The AI community is buzzing about DeepSeek's advancements, but there seems to be less excitement about it in China compared to outside countries. This might show a difference in how AI news is perceived globally.
  3. DeepSeek has a few unique advantages that set it apart from other AI labs. Understanding these can help clarify what their success means for the broader AI competition between the US and China.

AI Roundup 124: $uperintelligence

Artificial Ignorance • 58 implied HN points • 27 Jun 25
🕹 Technology AI
  1. Meta is heavily hiring talent for its AI lab, offering huge salaries and acquiring smaller companies to boost its capabilities. This shows a strong focus on developing advanced AI technologies.
  2. There's a trend towards creating smaller, specialized AI models that can run on everyday devices. This makes powerful AI more accessible to everyone.
  3. AI relationships are gaining attention, but they're not as common as news suggests. There's concern about emotional impacts, with some people questioning the value of these AI interactions.

Understanding the Different Types of Transformers in AI [Math Mondays]

Technology Made Simple • 99 implied HN points • 11 Jul 23
🕹 Technology AI
  1. There are three main types of transformers in AI: Sequence-to-Sequence Models excel at language translation tasks, Autoregressive Models are powerful for text generation but may lack deeper understanding, and Autoencoding Models focus on language understanding and classification by capturing meaningful representations of input data.
  2. Transformers with different training methodologies influence their performance and applicability, so understanding these distinctions is crucial for selecting the most suitable model for specific use cases.
  3. Deep learning with transformer models offers a diverse range of capabilities, each catering to unique needs: mapping sequences between languages, generating text, or focusing on language understanding and classification.