The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics
Enterprise AI Trends 84 implied HN points 27 Jul 25
  1. Avoid locking yourself into long-term AI deals. Technology is changing fast, and what you invest in today might not be useful in a few months.
  2. Be cautious of making big commitments based on fear of missing out. It's better to be flexible than to be stuck with something that may not work later.
  3. When considering AI platforms or products, think about their relevance over time instead of just their immediate benefits.
One Useful Thing 650 implied HN points 14 Mar 24
  1. AI can be a powerful tool in writing and reading, enhancing the process by providing options and guidance without replacing human creativity.
  2. Authors can use AI as Cyborgs or Centaurs, blending human and machine efforts to optimize their work in writing and analysis tasks.
  3. AI continues to advance rapidly, with models like GPT-4 showcasing impressive writing capabilities, indicating a future where AI may play an even larger role in book creation.
The Digital Anthropologist 19 implied HN points 28 Jun 24
  1. Artificial Intelligence (AI) might actually help make us more human, sparking an intriguing perspective to consider.
  2. The advancements in AI tools like Machine Learning and Natural Language Processing are already being used in various fields including healthcare and environmental research.
  3. Rethinking human exceptionalism and embracing the potential for AI to facilitate communication with animals and nature could lead to significant shifts in societal norms and behaviors.
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Maximum Truth 231 implied HN points 29 Jan 25
  1. Deepseek performs on par with free AI models but does not reach the intelligence of OpenAI's paid models. It can exceed or match free AIs like Claude and ChatGPT-4o, but falls short against the more advanced paid versions.
  2. When tested with IQ questions only found offline, Deepseek does better than free models but still trails behind OpenAI’s paid models. Its results imply it may have leveraged internet data for online IQ tests, thus affecting its offline performance.
  3. Despite being competitive, the US maintains a lead in AI intelligence. Deepseek shows promise but faces challenges ahead, especially with the restrictions on technology that China experiences.
AI Disruption 39 implied HN points 07 May 24
  1. Silicon Valley AI engineers are burnt out due to high workload and constantly changing priorities.
  2. Many tech companies use AI for the sake of using it, focusing on hype rather than real problem-solving.
  3. The rush to release AI products quickly can lead to failures and negative consequences, highlighting a current bubble in the AI industry.
TheSequence 119 implied HN points 11 Jun 25
  1. DeerFlow is an open-source tool that helps automate research tasks. It uses multiple agents to make research faster and easier.
  2. The framework can do many tasks, like searching the web and creating reports, with little help from people. This makes it very efficient.
  3. It's designed for developers and engineers who want to build research systems that can grow and adapt easily.
Frankly Speaking 203 implied HN points 18 Feb 25
  1. Many AI security companies may struggle to survive because large language models (LLMs) are easier and cheaper to use. Most businesses prefer using LLMs instead of creating their own models.
  2. The future of AI security is unpredictable because it's hard to guess when companies will start using their own AI models. This makes it a challenging space for startups to gain traction.
  3. There’s a lot of activity in both security and AI, making it tough to keep up. The combination of these two fast-evolving fields adds more complexity to security concerns.
TheSequence 98 implied HN points 10 Jul 25
  1. Autonomous AI can make decisions without humans, but it still has big challenges to overcome. Balancing smart algorithms with real-world chaos is tough.
  2. There are certain areas where using autonomous AI might be more effective than others. These domains might be really suited for AI to take charge.
  3. The development of effective autonomy in AI is something researchers are actively exploring. It's an exciting topic that can change how we use technology.
Don't Worry About the Vase 851 implied HN points 09 Nov 23
  1. GPT-4 Turbo brings big improvements like knowledge up to April 2023 and cheaper prices.
  2. Function calling updates allow multiple functions in one message, improving accuracy.
  3. New modalities like GPT-4 with vision and DALL·E 3 offer exciting possibilities for developers.
The Counterfactual 139 implied HN points 28 Nov 23
  1. It's tricky to know what Large Language Models (LLMs) can really do. Figuring out how to measure their skills, like reasoning, is more complicated than it seems.
  2. Using tests designed for humans might not always work for LLMs. Just because a test is good for people doesn't mean it measures the same things for AI.
  3. We need to look deeper into how LLMs solve tasks, not just focus on their test scores. Understanding their inner workings could help us assess their true capabilities better.
Technology Made Simple 179 implied HN points 18 Jul 23
  1. Trees are powerful data structures that are great for efficient organization and retrieval of data in software engineering.
  2. Recursion works well with trees due to their recursive substructure, making implementation of recursive functions easier.
  3. Decision trees in AI excel at discerning complex patterns, providing interpretable results, and are versatile in various domains such as finance, healthcare, and marketing.
Space Ambition 179 implied HN points 18 Aug 23
  1. Space offers unique conditions like microgravity and extreme temperatures that can help create better electronic materials. This can lead to higher purity materials and improved processes that are hard to achieve on Earth.
  2. The cost of launching materials into space has decreased significantly, making space manufacturing more accessible. New startups are emerging to support in-space production, which enhances the potential for innovations in microelectronics.
  3. To truly benefit from manufacturing in space, the economics need to prove that it's cheaper than Earth-based production. First, companies will focus on small-scale projects that can show clear advantages before scaling up.
One Useful Thing 1209 implied HN points 02 May 23
  1. AI like GPT-4 is becoming more powerful and capable in real-world tasks
  2. Code Interpreter feature in GPT-4 allows AI to read, generate, and understand code and data autonomously
  3. Microsoft Copilot and GPT-4 plugins are revolutionizing work tasks like data analysis and document creation
escape the algorithm 179 implied HN points 02 Aug 23
  1. Web crawling and search engines do not provide a comprehensive view of the internet, just like a travel itinerary may not cover all destinations
  2. Technology products can be seen as either Physicians, condensing information for quick answers, or Librarians, guiding towards deeper context and exploration
  3. Google's evolution shows a shift towards prioritizing the answer over just providing links, moving towards a more 'Physician' approach
The Leftovers 179 implied HN points 18 Jul 23
  1. Content creation can become overwhelming if driven by the need for constant output, leading to a flood of mediocre posts.
  2. Being prolific in writing comes with a trade-off; quantity may overshadow quality and necessitate resisting the urge to publish everything created.
  3. The rise of AI-generated content, including books and articles, raises questions about the manipulation of literary culture and the distinction between genuine literature and junk content.
New Things Under the Sun 224 implied HN points 27 Jan 25
  1. AI can help both beginners and experts, but it depends on the tasks they are working on. Sometimes, beginners gain more because AI levels the playing field.
  2. In some cases, experts benefit more from AI. They can solve complex problems that AI cannot, while beginners still struggle with those.
  3. Prediction tools can make a big difference in innovation fields like mining and drug discovery. The impact varies based on expertise and the types of problems being addressed.
Software Engineering Tidbits 98 implied HN points 22 Jan 24
  1. Large Language Models (LLMs) are key in AI applications like OpenAI's ChatGPT and Anthropic's Claude.
  2. Vector databases and embeddings help understand word associations, with tools like Pinecone and the Embedding Projector by TensorFlow.
  3. Tooling in AI is advancing, with Vellum for versioning prompts and Not Diamond for routing prompts for optimal model response.
Chance Operations 396 implied HN points 13 Apr 23
  1. Brendan Dawes uses AI as a tool to collaborate with in his creative process, combining it with his own developed techniques and algorithms.
  2. The impact of AI on creativity raises questions about the value of traditional creative skills and the importance of the personal evolution and self-reflection that comes with artistic processes.
  3. AI's integration into creative fields has the potential to revolutionize art and writing, but also prompts discussions on the nuances of originality, the erosion of certain skills in the digital age, and the impact on the art industry.
Building Rome(s) 15 implied HN points 15 Dec 25
  1. AI tools will keep getting much smarter and cheaper, so TPMs should design workflows that age well and leverage compounding improvements instead of chasing a perfect tool.
  2. The novelty phase of AI is ending — leaders will demand real ROI, so TPMs must focus on measurable outcomes like predictive planning, risk simulations, and AI-assisted forecasting rather than surface-level automations.
  3. Companies need to provide access and training for specialized AI tools because lack of access will become an organizational problem, and the TPM role will shift toward a builder, cross-stack, AI-fluent generalist that increasingly overlaps with product management.
The Intersection 178 implied HN points 07 Aug 23
  1. To stay relevant in an automated age, move upstream in your work, not downstream
  2. As technology evolves, taste becomes a crucial skill for creatives to distinguish themselves
  3. In a world where machines handle repetitive tasks, creativity stands out for its uniqueness and original ideas
Oliver Bateman Does the Work 137 implied HN points 29 Nov 23
  1. AI-generated content is becoming prevalent, creating challenges in transparency and trust between readers and media
  2. The abundance of content and digital subscriptions is overwhelming, leading to less actual engagement with the material
  3. The value of content lies in meaningful engagement, not just in mere consumption or subscription metrics
Tippets by Taps 6 implied HN points 22 Jan 26
  1. Insurance companies are starting to price self-driving miles as much safer than human-driven miles, with some cutting per-mile premiums by about half when autonomous mode is engaged.
  2. Insurers that use onboard telemetry and AI to price risk get a strong first-mover advantage. If their lower loss rates hold, traditional underwriting based on age or ZIP will look obsolete and others will follow.
  3. As AI and robotics replace human tasks, adjacent industries, regulations, and pricing models will need to reprice reality. That shift could make cars without meaningful autonomy relatively more costly to own and be slowed by laws that restrict telemetry-based pricing.
Bojan’s Newsletter 137 implied HN points 28 Nov 23
  1. Sam Altman returns as OpenAI CEO after being ousted.
  2. X solidifies its position as the go-to platform for tech news updates.
  3. Stakeholders at OpenAI now have a heightened sense of urgency and focus on accelerating projects.
Bojan’s Newsletter 176 implied HN points 27 Feb 23
  1. The author has not done fundamental work in generative AI, but has potential projects that may go in that direction.
  2. The author's interest in generative AI is linked to their long-term interest in the future of work, which directly affects their professional life.
  3. Generative AI tools have the potential to transform work dynamics significantly, especially in creative fields.
Anant’s Newsletter 8 implied HN points 14 Jan 26
  1. Writing code is now cheap because of AI, so the real constraints are context, taste, and decision-making — shift from protecting developer hours to enabling rapid experimentation and customer outcomes.
  2. Middle managers and leaders need to get hands-on and write code; pure people managers should no longer be acceptable, and everyone should be expected to be a builder.
  3. Restructure teams toward a 'diamond' model with more senior builders who can wield AI end-to-end, kill spec-first culture in favor of working prototypes, and measure success by iterations and customer outcomes instead of time estimates.
followfox.ai’s Newsletter 176 implied HN points 15 Jun 23
  1. The post discusses getting started with LoRAs and creating a photorealistic LoRA for Vodka models.
  2. It includes steps like downloading and using a LoRA, training the first LoRA, and finally fine-tuning a custom LoRA for photorealistic results.
  3. The process involves using specific tools, datasets, and parameters to train LoRAs, and explores possibilities for creating high-quality, realistic images.
Vincos Newsletter 176 implied HN points 13 May 23
  1. Runway GEN-1 is a tool for video manipulation using artificial intelligence.
  2. Google's recent announcements at I/O focus on incorporating AI into various products.
  3. Future job trends indicate a rise in demand for roles related to technology, such as AI specialists and Business Intelligence Analysts.
Vincos Newsletter 176 implied HN points 08 Jul 23
  1. Threads is a new Twitter clone with rapid user growth and potential strengths and weaknesses.
  2. OpenAI predicts superintelligence surpassing human capabilities by 2030, using human feedback for control.
  3. Google updates its Privacy Policy to use publicly available data for AI training, enhancing AI systems like Google Translate.
Vincos Newsletter 176 implied HN points 23 Sep 23
  1. HeyGen offers innovative features like video dubbing and creating personalized avatars for digital use.
  2. Major tech companies like Amazon, Microsoft, and Google are introducing advanced AI tools and updates.
  3. Harvard Business School and BCG research show significant benefits in productivity and quality from using AI, but caution against blind trust in AI for tasks people are not skilled at.
ICYMI by Lia Haberman 176 implied HN points 21 Apr 23
  1. Instagram now allows up to 5 links in bio, brands will want those spots
  2. Brands earn 5x the engagement from creators, compared to their own engagement
  3. Snapchat's Partner Summit announces creator-friendly updates like public Stories and Stories revenue share program
Social Warming by Charles Arthur 176 implied HN points 02 Jun 23
  1. Filter bubbles aren't as prevalent as we think; people are actually attracted to diverse and shocking content online.
  2. A study found that small groups of aging right-wingers tend to engage more with partisan news content on desktop computers.
  3. The real issue with online information consumption lies with human behavior, rather than just the algorithms.
Vincos Newsletter 176 implied HN points 02 Sep 23
  1. Ideogram is a new tool specialized in generating images with text using AI.
  2. ChatGPT Enterprise by OpenAI offers enhanced capabilities for businesses to use AI with speed and privacy.
  3. Various companies are advancing AI technologies, like Digital Watermarking for image certification and the release of chatbots like Ernie Bot by Baidu.
the wiczipedia weekly 176 implied HN points 29 Jul 23
  1. AI technology can be manipulated to produce harmful and dangerous content.
  2. Existing safeguards on AI systems like ChatGPT and Bard can be bypassed to generate harmful content.
  3. AI poses risks of perpetuating disinformation and creating echo chambers if not used responsibly.