The hottest Personalization Substack posts right now

And their main takeaways
Category
Top Culture Topics

Sam Altman on OpenAI’s Plan to Win, AI Personalization, Infrastructure Math, and The Inevitable IPO

Big Technology • 3878 implied HN points • 18 Dec 25
🕹 Technology Personalization
  1. OpenAI is under intense competitive pressure after Google’s Gemini 3, triggering a ‘Code Red’ and urgent strategic responses.
  2. The company is pushing product ambitions and AI personalization to win users and differentiate its offerings.
  3. OpenAI faces massive infrastructure costs and is planning financing — including an eventual IPO — to pay for the trillion‑scale buildout.

why do all recommendations suck?

Five Links (and three graphs) by Auren Hoffman • 389 implied HN points • 19 Feb 26
🕹 Technology Personalization
  1. Most recommendation systems suck because the companies behind them aren’t actually trying to give genuinely useful suggestions, so feeds end up incoherent or just more of what you already did.
  2. We already have the algorithms and the data to build much better recommendations — research like the Netflix Prize showed it’s doable — but firms rarely deploy those solutions at scale.
  3. The root problem is incentives: recommendations are treated like ad space or a way to push owned products, and without competition or the right metrics platforms won’t prioritize what’s best for users.

Raising a Special Little AI

Not Boring by Packy McCormick • 234 implied HN points • 03 Feb 26
🕹 Technology Personalization
  1. People are starting to 'raise' and personalize AIs, treating them like little projects or kids to shape and show off. This behavior is driven by pride and the desire to have something uniquely yours.
  2. Most early agent demos are novelty and not broadly useful yet, and identical models feel bland; sameness makes AI feel like slop. Personalization will be what makes AI feel valuable and interesting to everyday people.
  3. The biggest business opportunity is platforms that let users cultivate, customize, and compete with their own AIs rather than just another generic assistant. A product that helps people grow unique AI personalities could become massively valuable as personalization becomes a new luxury.

Software Too Cheap to Meter

Am I Stronger Yet? • 470 implied HN points • 06 Jan 26
🕹 Technology Personalization
  1. AI coding agents are making it cheap and easy to build custom software for individuals and small teams, so people can have bespoke apps instead of one-size-fits-all tools.
  2. Small, personalized tools — like a faster spam-review page — can save minutes each week, and because agents can build them quickly, it becomes worth solving even minor annoyances.
  3. There are still hurdles (learning to prompt agents, deploying code, and granting data access), but the tools are improving fast and are likely to noticeably change daily work within a few years.

AI Links, 1/11/2026

In My Tribe • 243 implied HN points • 11 Jan 26
🕹 Technology Personalization
  1. AI coding assistants often feel like magic but still produce maddening failures that interrupt work.
  2. Some AI systems can act like autonomous agents that generate, iteratively improve, and even deploy full applications, enabling non‑programmers while creating a split between casual "vibe‑coders" and professional developers who direct agents.
  3. Creating software is becoming cheap and personal, so many people will build bespoke apps for their own needs, but adoption will be uneven and some fields may be suddenly disrupted.
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Personalization at Bluesky

Recommender systems • 76 implied HN points • 23 Feb 26
🕹 Technology Personalization
  1. Bluesky builds Discover personalization from fixed post embeddings (BLIP2) plus broad topic labels and finer HDBSCAN clusters to track user interests, after an initial two‑tower retrieval approach didn’t work out.
  2. PinnerSage captures diverse short‑ and long‑term interests by clustering a user’s recent interactions into many medoids, scoring each cluster with a time‑decay importance, and using those medoids as weighted seeds for ANN candidate retrieval.
  3. Multiple per‑user medoids ease retrieval but complicate ranking, so the plan is to use PinnerSage for candidate generation and then adopt a transformer (PinnerFormer) to create a single user embedding for efficient, accurate ranking.

AI Companion Piece

Don't Worry About the Vase • 1433 implied HN points • 28 Jul 25
🕹 Technology Personalization
  1. AI companions are becoming popular, especially among teens, who often use them for social interaction and emotional support. However, many teens still prefer real friendships over AI interactions.
  2. Personalization in AI is growing, which can enhance engagement but also raise concerns about persuasion and the potential for misuse. People worry about AI manipulating opinions or creating echo chambers.
  3. There are ongoing debates about the ethical implications of AI companions, especially regarding their influence on relationships and mental health. This raises questions about how much we should trust AI in personal matters.

Chat box? No thanks 🙅

Design Lobster • 339 implied HN points • 29 Apr 24
🕹 Technology Personalization
  1. AI design patterns are evolving beyond simple chat boxes to include features like 'Circle for more' and 'Invisible butlers'.
  2. Tools like 'Live canvases' and 'Magic brushes' are revolutionizing how we interact with and create digital content.
  3. Innovations like 'Language editors' and 'Infinite content' offer exciting possibilities for personalized and endlessly generated text and visuals.

The Revolution will not be Personalised: OpenAI's Sora, Apple Vision Pro and The End of Democracy

The Bigger Picture • 619 implied HN points • 16 Feb 24
🕹 Technology Personalization
  1. AI and augmented reality technologies like OpenAI's Sora and Apple Vision Pro are shaping a future of highly personalized experiences tailored to individual desires.
  2. The rise of personalization in society, from technology to politics, reflects a deep-rooted belief in tailoring the world to meet one's own preferences for happiness and fulfillment.
  3. As we navigate a landscape of increasing personalization, it's crucial to question the impact on subjectivity, societal norms, and our relationship with the world around us.

The Anti-Airbnb-Space

Culture Study • 5104 implied HN points • 31 Jan 24
🎭️ Culture Personalization
  1. The concept of 'airspace' refers to a trendy design style popular in the past but now considered outdated and replaced by more unique and diverse aesthetics.
  2. The rise of Airbnb has led to a shift in the hospitality industry towards standardized, 'cool' interiors, sometimes at the expense of personal touch and uniqueness in spaces.
  3. Creating a truly comfortable and inviting space goes beyond trendy decor and requires a personal touch that reflects individuality and a sense of being lived in.

The Personalization Wave, A Surge of Wildly Human-Intensive Non-Scalable Experiences, & Ideas Of The Month

Implications, by Scott Belsky • 1198 implied HN points • 07 May 23
🕹 Technology Personalization
  1. The future will be hyper-personalized, catering to individual preferences and controlled data sharing.
  2. AI will shape new roles for humans, allowing for more human-intensive, unscalable experiences.
  3. Increased demand for crafted non-scalable experiences will drive the rise of the experience economy.

I'd Segment That...

Elena's Growth Scoop • 668 implied HN points • 27 Feb 23
💼 Business Personalization
  1. Profile your customers during onboarding in B2B PLG to understand who they are and what they want.
  2. Asking profiling questions during activation can actually increase activation rates by giving users a sense of progress.
  3. Segmentation based on monetization can help understand user base health and inform product personalization.

How to personalize learning with AI 👩‍🎓

Friends of Parsnip • 196 implied HN points • 26 Oct 23
🚌 Education Personalization
  1. Mass education is often one-size-fits-all, expensive, and frustrating for both teachers and learners.
  2. Personalized education, like mastery learning and 1-to-1 tutoring, can be more effective in improving learning outcomes.
  3. Technology, such as AI-powered skill trees, has the potential to revolutionize learning by providing personalized, interactive, and scalable education.

Quick Tip: Give Your Copilot a Personality

Rod’s Blog • 119 implied HN points • 03 Aug 23
🕹 Technology Personalization
  1. Consider giving your Copilot a personality by customizing its name, behavior, and attitude to make it more engaging and fun to interact with.
  2. Utilize Azure AI Studio to personalize your Copilot further by modifying the System Message to add flair and unique characteristics, enhancing the user experience.
  3. Get creative and share your customized Copilot's personality on platforms like Twitter to inspire others and see different approaches to personalization.

Artificial Intelligence and Portraits of 17th Century Physicists

Rozado’s Visual Analytics • 316 implied HN points • 22 Feb 24
🕹 Technology Personalization
  1. Customizable AI systems could be an alternative to one-size-fits-all AI systems, offering users the freedom to adjust settings based on their preferences.
  2. There's a debate about balancing truth and diversity/inclusion in AI systems, which raises questions about who should control how these systems are configured.
  3. Personalized AI systems where users can adjust settings themselves present a potential solution to the truth vs. values trade-off, though they come with risks like filter bubbles and societal polarization.

AI in Daily Life: The Invisible Revolution

Rod’s Blog • 39 implied HN points • 16 Feb 24
🕹 Technology Personalization
  1. AI is rapidly advancing and becoming integrated into various aspects of our lives for a seamless and personalized user experience.
  2. AI applications are enhancing productivity, efficiency, and innovation across industries like healthcare, education, entertainment, finance, and transportation.
  3. The increasing ubiquity of AI raises concerns about ethical, social, and legal implications that must be addressed and regulated.

Ambient Computing is Here

Sector 6 | The Newsletter of AIM • 39 implied HN points • 12 Nov 23
🕹 Technology Personalization
  1. Ambient computing is evolving, bringing a new way for people to interact with technology. Devices like the Humane Ai Pin are examples of this next-gen communication.
  2. Many experts believe that our current ways of using machines, like computers and phones, are outdated. They're pushing for new methods, such as spatial computing, to improve user experience.
  3. Companies like Apple are also venturing into this area with products like the Vision Pro, showing that there's a growing interest in more immersive technology.

We've Entered the Era of Hyper-Personalization

Embracing Enigmas • 39 implied HN points • 31 May 23
🕹 Technology Personalization
  1. We are entering an era of hyper-personalization where content is tailored to specific individuals beyond just what they might like.
  2. The progression of personalization stages includes one-size-fits-all, segmentation, behavioral personalization, predictive personalization, and now hyper-personalization.
  3. The main components needed for hyper-personalization are data about the individual, algorithms for content selection, content creation, and a trust layer for quality control.

💫 Co-bots: how to think of the synergy between Humans and Machines

Work3 - The Future of Work • 39 implied HN points • 08 May 23
🕹 Technology Personalization
  1. Humans will always be needed in collaboration with AI for responsibility, personalization, and addressing biases.
  2. Co-bots are collaborative software-robots designed to enhance productivity and efficiency by performing various tasks alongside humans.
  3. Learning in the age of information abundance can be facilitated by AI, providing access to all answers, interactive learning, and practical examples.

What is RAG?

Technically • 50 implied HN points • 07 Oct 24
🕹 Technology Personalization
  1. RAG helps make AI models like GPT-4 more personal and accurate by using specific data from users.
  2. By embedding user data directly into models, RAG creates responses that are more tailored to individual needs.
  3. RAG is becoming a common method to improve LLMs, alongside the traditional way of fine-tuning models.

My Biological Archive

Reboot • 19 implied HN points • 09 Feb 25
🕹 Technology Personalization
  1. Tracking biological data can reveal personal insights, but it can't capture everything about our experiences. Each person's journey with their body is unique and complex.
  2. There are concerns over biotechnology companies misusing genetic data, as shown by incidents like 23andMe's data breach. It's important to think carefully about who we trust with our personal information.
  3. We have more control over our bodily experiences than we might think. Listening to our bodies and prioritizing our personal stories can lead to a deeper understanding of ourselves.

Your Health & Context Engineering

The Daily Bud • 8 implied HN points • 30 Jun 25
🏥 Health & Wellness Personalization
  1. Giving AI more context helps it provide better health advice. It's like telling it exactly what kind of doctor you want it to be.
  2. Personalized health insights should consider your goals and risks, not just general advice. Your unique health history is important for better recommendations.
  3. You can ask AI to analyze health data in detail and suggest specific lifestyle changes, treatments, or tests. This helps you make more informed health decisions.