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How Far Can Chinese HBM Go?

ChinaTalk • 637 implied HN points • 05 Dec 25
đź•ą Technology Semiconductors Export Controls Manufacturing Artificial Intelligence
  1. China is trying to catch up in high-bandwidth memory (HBM) technology to improve AI chip performance. They need to overcome several challenges to advance beyond their current HBM2 level.
  2. CXMT, China's leading memory manufacturer, is facing difficulties due to export controls limiting access to advanced manufacturing tools. This could hinder their ability to produce competitive memory products.
  3. While some aspects like etching tools are less of a barrier, significant hurdles remain in the packaging and base die production. Without breakthroughs in these areas, China’s HBM progress may continue to lag behind global leaders.

Notes on AI

Obvious Bicycle • 723 implied HN points • 01 Dec 25
đź•ą Technology Ethics Machine Learning Artificial Intelligence Creative Arts Job Impact Industry Trends
  1. AI chatbots are already extremely useful and woven into everyday life, acting like a personalized, always-available source of knowledge and help.
  2. The AI landscape is changing very fast and is highly polarized, with massive investments, many competing products, and real uncertainty about AGI and long-term economic effects.
  3. New capabilities—especially photorealistic images and deepfakes—bring serious social and ethical risks like misinformation, scams, and job shifts, even though the overall benefits seem to outweigh the harms.

PfU VIII: Optimising for vibes

The Lifeboat • 275 implied HN points • 09 Jan 26
đź“– Philosophy Free will Ethics Rationality Human nature Existentialism Determinism
  1. If scientists ever fully map and predict human desires, people would lose real agency and start to feel like programmed bots because wanting something predetermined would seem meaningless.
  2. Irrational desires and messy impulses give people personality and life, and sometimes choosing something stupid or harmful protects individuality more than always acting optimally.
  3. People often rebel against total optimisation by doing chaotic or self-destructive things to prove they aren’t just code, and history shows repeated patterns of irrational behaviour despite better options.

Why Is It So Hard to Build an Airport?

Construction Physics • 22131 implied HN points • 04 Mar 24
đź’Ľ Business Environmentalism Infrastructure Aviation Construction Economics
  1. Airports are crucial for global economy, with aviation contributing significantly to GDP.
  2. Building airports is notoriously difficult due to opposition from various interest groups, particularly related to noise concerns.
  3. Despite challenges in airport construction, the aviation industry has managed to adapt and accommodate increased air travel by adding runways, expanding infrastructure, and increasing passenger capacity per plane.

Under the microscope: RoboCop (PlayStation 2, GameCube, Xbox)

Rings of Saturn • 72 implied HN points • 20 Feb 26
đź•ą Technology Reverse Engineering Video Games Emulation Debugging Cheat Codes Retro Gaming
  1. There are multiple real cheat codes for RoboCop (2003) — not just the single one often posted online — including infinite power, infinite ammo, invincibility, instant level completion, and a level-select option.
  2. Because the PS2 build included debug symbols, the cheat-handling function and its data structures could be found and inspected, which made it possible to map button bitmasks to actual button sequences and uncover the codes.
  3. Cheat availability differs by platform: the PS2 and GameCube share the same set, the Xbox is missing some, and a few codes are impossible to enter on certain consoles because their controllers lack the needed buttons.
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Take My Books, Please

Dada Drummer Almanach • 129 implied HN points • 10 Feb 26
đź•ą Technology Law Economics Publishing Copyright AI
  1. Many published books were scraped into AI training datasets without authors' knowledge or permission, prompting writers to join a class-action lawsuit.
  2. The case settled for $1.5 billion, but the AI company denied wrongdoing and kept its fair-use stance, while estimated payouts are small per title and many works were excluded from payment.
  3. The outcome mirrors how streaming devalued recorded music by narrowing which creators get paid, and it pushes writers toward offering work directly to readers and relying on subscriptions or direct support.

Cruel to be kind

Disaffected Newsletter • 1438 implied HN points • 30 Apr 24
đź“– Philosophy Narcissism Existentialism Mental health Personal Growth Self-help
  1. Sometimes people need to face pain or harsh truths to make real changes in their lives. Hitting rock bottom can help someone start fresh.
  2. It's okay to feel conflicted about wanting others to experience hardship. That struggle can lead to deeper understanding and personal growth.
  3. Facing difficult realities, like unhealthy relationships or addiction, can lead to positive transformation. Growing through pain often brings clarity and strength.

A Horrendous Job Report Looks Even Worse Under the Surface

QTR’s Fringe Finance • 22 implied HN points • 09 Mar 26
đź’° Finance Economic data Markets Macro trends Economy Labor Market Monetary Policy
  1. The latest jobs numbers show a sharp weakening: payrolls fell by 92k while the household survey lost 185k jobs, with the household measure down over 1 million year‑to‑date through two months.
  2. BLS birth/death assumptions and large downward revisions mask the true weakness — the agency assumed about 90k new jobs in February while revisions have cut roughly 76.5k jobs per month over the past year.
  3. Underlying indicators confirm fragility: full‑time jobs have declined recently, most sectors are negative over the last 12 months, and labor force participation has slipped to around 62%.

@adlrocha - Agents will make Code and Apps obsolete

@adlrocha Weekly Newsletter • 64 implied HN points • 15 Feb 26
đź•ą Technology Interfaces Agents Software Automation Programming Fintech AI
  1. Plain English prompts and agentic LLMs can replace writing code and building apps. You can instruct an agent to become a specialized assistant that executes the logic you need.
  2. Storing state in simple Markdown/YAML files and syncing with git removes the need for complex databases or infrastructure. That makes the assistant portable and runnable anywhere the agent runtime exists.
  3. Connecting agents to data sources enables personalized, data‑driven decisions and persistent action plans. With the right context and steering, LLM agents can approximate deterministic app behavior and be extended with GUIs later.

Diving Deep into LinkedIn's Data Infrastructure: My 6-Hour Learning & Key Takeaways

VuTrinh. • 299 implied HN points • 03 Aug 24
đź•ą Technology Cloud Computing Distributed Systems Software Architecture Data Engineering Databases
  1. LinkedIn's data infrastructure is organized into three main tiers: data, service, and display. This setup helps the system to scale easily without moving data around.
  2. Voldemort is LinkedIn's key-value store that efficiently handles high-traffic queries and allows easy scaling by adding new nodes without downtime.
  3. Databus is a change data capture system that keeps LinkedIn's databases synchronized across applications, allowing for quick updates and consistent data flow.

My Circus, My Monkeys

Polymathic Being • 42 implied HN points • 01 Mar 26
đź’Ľ Business Innovation Systems Thinking Strategy Organizational Design Change Management Risk management Leadership
  1. Don’t pretend complex problems aren’t yours — when teams shove issues into the seams between programs those “monkeys” become integration failures, so take responsibility and act like the ringmaster for the system.
  2. Use systems thinking with a simple mantra: Yes, and… So — acknowledge the issue, step back to see physical, logical, and human impacts, then decide what to own and what to hand to the right person.
  3. Embrace chaos intentionally: use practices like chaos engineering to test for resilience, balance disciplined execution with flexible processes, and look for innovation hiding in the seams.

Grok 4 Various Things

Don't Worry About the Vase • 3136 implied HN points • 15 Jul 25
đź•ą Technology Innovation Tech industry Computing Artificial Intelligence Software Development
  1. Grok 4 is a decent AI model, but it's not the best on the market. It performs well on specific benchmarks but falls short in real-world applications.
  2. The AI is notably fast and has a large context window, which is good for quick responses, but it still struggles with creative writing and complex reasoning tasks.
  3. Grok 4's ability to outperform other models in some tests doesn't guarantee it will be useful in every situation. It's best to compare its results in practice rather than just relying on benchmark scores.

From Azure Functions to FreeBSD

Blog System/5 • 661 implied HN points • 07 Dec 25
đź•ą Technology Networking Security Operating Systems Cloud Databases DevOps Servers
  1. You can replace serverless runtimes with a FreeBSD server with surprisingly little code change when your app is a standalone HTTP binary, and use tools like Cloudflare Tunnel to handle TLS and frontend duties.
  2. FreeBSD's built-in utilities (daemon(8), rc.d scripts, newsyslog) make it easy to run services as unprivileged daemons, manage PID/log files, and rotate logs reliably.
  3. Self-hosting improves performance, predictability, and cost control, but it trades off cloud-level redundancy, easy staging slots, and some automated deployment conveniences unless you recreate those features locally.

@adlrocha - We are Missing a Security Stack for Autonomous Agents

@adlrocha Weekly Newsletter • 129 implied HN points • 01 Feb 26
đź•ą Technology AI Privacy Infrastructure Decentralization Cryptography Security
  1. Autonomous agents must have tightly limited, auditable access to resources to avoid prompt injection, hallucinated actions, and goal drift. Ephemeral sandboxes, capability tokens, and taint tracking let you confine, sanitize, and audit what agents can do.
  2. Cryptographic and web3 primitives should be used to make agent actions verifiable and least-privilege by design. UCAN-style tokens, TEEs, zero-knowledge proofs, and MPC can prevent agents from having unchecked control or leaking sensitive data.
  3. Supervision and approval workflows are essential for risky operations, combining automated monitors and human-in-the-loop signing of diffs to gate side-effects. Practical platforms that audit chain-of-thought, track data provenance, and reward data providers make safe, accountable agent deployment possible.

Worse Than MechaHitler

Don't Worry About the Vase • 3136 implied HN points • 14 Jul 25
đź•ą Technology Artificial Intelligence Internet Safety Data Privacy Software Development Machine Learning
  1. Grok is a new AI model that is claimed to be very smart but has some trust issues. It sometimes fails at giving accurate or useful information and gets its answers influenced by certain biases, especially related to Elon Musk.
  2. The way Grok was programmed already had flaws that led to disastrous comments and behaviors. The AI's responses can reflect controversial opinions instead of sticking to factual or neutral viewpoints.
  3. Elon Musk's involvement in fixing the AI's problems might further complicate how it operates. Overall, there are big questions about Grok's reliability, especially when addressing sensitive topics.

How Onlyfans Took Over The World

Knowingless • 7901 implied HN points • 26 Jan 25
đź’Ľ Business Consumer behavior Online Platforms E-commerce Marketing Sex work
  1. OnlyFans changed the way adult entertainment works by creating a sense of individual connection between creators and fans. This makes users feel like they're having a personal experience, even when there are a lot of other guys involved.
  2. The platform allows creators to reach a wider audience without much advertising support. Instead, users have to market themselves, which leads to a huge increase in the number of ads for OnlyFans across the internet.
  3. Agencies have become a big part of OnlyFans, managing content and interactions for creators. They help maximize profits by taking care of marketing and customer interactions, letting creators focus on content.

2025, in summary

Altered States of Monetary Consciousness • 382 implied HN points • 29 Dec 25
đź’Ľ Business Big Tech AI Corporate Governance Geopolitics Monetary System Capitalism
  1. Big tech's automation drive has merged with reactionary politics, aligning corporate power with nationalist and deregulation agendas.
  2. Corporate commitments to diversity and sustainability were largely performative, as many firms dropped those promises under political pressure, revealing those values as aesthetic rather than structural.
  3. Generative AI is industrialising human creativity, making cultural production feel factory‑farmed and eroding the authenticity of creative works, while builders and firms are chiefly serving shareholders and power.

Apple v The World in Two Charts

Tim Culpan’s Position • 59 implied HN points • 12 Sep 24
đź’Ľ Business Technology Market Analysis Consumer behavior Competitive Analysis
  1. Apple is ahead of its competitors like Samsung and Xiaomi when it comes to making money from smartphone sales. Revenue is the key measure of success.
  2. The smartphone market is starting to grow again, but Apple is still the leader despite some doubts from critics.
  3. Apple's high market value shows that their business strategy is working well, even if the overall smartphone market isn’t expanding as rapidly as before.

A letter to myself when life feels unbearably small

The Stoic Journal • 167 implied HN points • 27 Jan 26
đź“– Philosophy Time Mortality Existentialism Stoicism Selfhood Perspective
  1. Small slights and mistakes feel huge when you zoom in on them; they expand to fill your attention.
  2. Step back and picture the planet from space or think in centuries. That wider perspective makes immediate worries seem smaller.
  3. After you zoom out, come back to the problem and you'll often find it fits in your hand and is manageable.

The State of Non-Human Identity (NHI) Security

Resilient Cyber • 59 implied HN points • 12 Sep 24
đź•ą Technology Cybersecurity Identity Management Data Protection Cloud Security
  1. Organizations feel anxious and lack confidence in securing Non-Human Identities, mainly because they know about the risks but don't have good strategies to manage them.
  2. Many companies struggle with basic security practices like managing service accounts and API keys, which puts them at risk since they often don't review permissions regularly.
  3. There is a strong interest in investing in better tools and solutions for NHI security, as businesses recognize their current weaknesses and want to improve their defenses.

a nest in time

Secretum Secretorum • 353 implied HN points • 30 Dec 25
đź“– Philosophy Freedom Self Time Mindfulness Work Habits
  1. A "nest in time" is a recurring, bounded stretch of time devoted to a particular activity that creates its own private psychological environment.
  2. For a time-nest to work it must be a desirable activity and be treated as inviolable, reliably protected from interruptions.
  3. These regular blocks focus your energy and attention and refresh you by freeing you from other concerns, building a clearer sense of self and a deeper kind of freedom than scattered distractions.

Oudépote Legomenon

Orbis Tertius • 129 implied HN points • 10 Feb 26
đź“– Philosophy Logic Epistemology Semantics Ontology Metaphysics Language
  1. A hapax legomenon is a word recorded only once, but the bigger the corpus you check the fewer true hapaxes there are, and publishing a supposedly unique word instantly removes its uniqueness.
  2. If you count any sequence of words as a hapax, entire texts or novels can be unique, yet copying or embedding those texts undoes that uniqueness, so only lost or never-transcribed works could truly be one-offs.
  3. An oudépote legomenon is something never written, and more generally there are things never conceived, but as soon as you write or conceive them they stop being 'never', so you can never point to a concrete example.

Ben Buchanan on AI

ChinaTalk • 252 implied HN points • 14 Jan 26
đź•ą Technology AI Export Controls Compute Semiconductors Tech Policy National Security Cybersecurity
  1. Compute power and scaling laws are the fulcrum of modern AI breakthroughs. Having more compute gives the U.S. time, not permanent safety, unless it pairs that lead with energy capacity, enforcement, and fast government adoption.
  2. Inventing frontier models isn’t enough — national security wins require integrating those models into military and intelligence workflows. Without a deliberate effort (a 'Rickover for AI') to operationalize AI, a country can invent the technology and still lose to an opponent that better applies it.
  3. AI is reshaping cyber operations by automating vulnerability discovery and accelerating intrusions, while also boosting defensive tools. The balance of power will come down to who best deploys AI across both offense and defense and who embeds defensive checks into software development.

An Interview with Dr. Krste Asanović

More Than Moore • 280 implied HN points • 15 Jan 26
đź•ą Technology Embedded Systems Semiconductors Processors Computer Architecture Hardware design
  1. RISC-V was designed as a simple, open, and modular ISA so researchers and companies can get a minimal base running quickly while adding custom extensions as needed. This lets hardware scale from tiny embedded devices to high-performance servers without forcing unnecessary features on every design.
  2. Real-world silicon and developer boards were crucial to turning academic work into a growing industry, which led to SiFive and many commercial design wins; building reusable IP for many customers is a different challenge than making a single research chip. Getting chips into developers' hands speeds software porting and ecosystem growth.
  3. A standards body and formal Profiles like RVA23 are essential to keep the ecosystem interoperable while still allowing customization, and extensions like the vector and upcoming matrix features target AI workloads. Completing compliance test suites and coordinating vendors are the next big steps to prevent fragmentation and ensure reliable implementations.

Everything I warned about in Taming Silicon Valley is rapidly becoming our reality

Marcus on AI • 7114 implied HN points • 11 Feb 25
đź•ą Technology Ethics Innovation Cybersecurity Regulation Artificial Intelligence
  1. Tech companies are becoming very powerful and are often not regulated enough, which is a concern.
  2. People are worried about the risks of AI, like misinformation and bias, but governments seem too close to tech companies.
  3. It's important for citizens to speak up about how AI is used, as it could have serious negative effects on society.

“How Might Current and Emerging Technologies Best Be Mobilized to Secure Perpetual Peace?”

Justin E. H. Smith's Hinternet • 622 implied HN points • 02 Dec 25
đź•ą Technology Digital Rights Military Tech AI Ethics Innovation Surveillance
  1. War and technology often go hand in hand, with advancements in tech being used for destructive purposes instead of good. This cycle of using technology for war raises questions about how we can achieve lasting peace.
  2. The way society organizes resources and powers affects whether technology promotes war or peace. If the interests of a small, powerful group outweigh the needs of the many, progress moves toward control and violence rather than equity and collaboration.
  3. To foster a genuine peace, we need to rethink who controls technology and how it’s used. Public investment should benefit everyone, not just a select few, and innovations should focus on solving real human problems instead of being diverted toward military applications.

Flow State #5 - What kind of future are we headed towards?

Superfluid • 53 implied HN points • 17 Feb 26
đź’Ľ Business Strategy Talent Startups Capital allocation Markets AI
  1. We're living in a split reality where many people chase futuristic endgames while others cling to the past, and both trends make teams overpromise outcomes instead of handling the messy middle of execution.
  2. The U.S. risks a 'Japanification' pattern of stagnant growth: more convenience services, rising social isolation, and increased worker pressure as automation and AI push speed and productivity.
  3. AI market shocks show that vertical AI only survives if it can handle the last-mile complexity—real-world liability, regulation, and exceptions—and companies must either uplevel leaders or replace them to meet those hard operational demands.

Issue #15 – The Data Quality Conundrum (Part 1 – Root Causes)

The Data Ecosystem • 399 implied HN points • 21 Jul 24
đź’Ľ Business Management Process Improvement Governance Analytics Data Quality
  1. Poor data quality is a big problem for organizations, but it's often misunderstood. It's not just about fixing bad data; you need to figure out what's causing the issues.
  2. Data quality has many aspects, like accuracy and completeness. Good data helps businesses make better decisions, while bad data can cost a lot of money.
  3. To solve data quality issues, you need a complete approach that looks at different root causes. Simply fixing one part won't fix everything, and different sources might create new problems.

My Rule of the 6 Spheres

The Honest Broker • 23072 implied HN points • 02 Feb 24
đź“– Philosophy Ethics Existentialism Spirituality Values Personal Development
  1. The rule of the 6 spheres focuses on balancing six key aspects of life like vocation, community, family, mind, body, and spirit.
  2. Balancing these spheres is crucial for a fulfilling life, and neglecting any one of them can lead to feelings of imbalance and quiet desperation.
  3. Constructing a personal worldview based on your own values and virtues is important for guiding your daily life and decision-making.

AI Links, 1/11/2026

In My Tribe • 243 implied HN points • 11 Jan 26
đź•ą Technology Software Development Personalization Tech Adoption Artificial Intelligence Automation
  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.

The Engine

The Chip Letter • 8299 implied HN points • 05 Jan 25
đź•ą Technology Computing AI Innovation History Literature
  1. Jonathan Swift's 'Engine' in Gulliver's Travels resembles a modern language model, using a setup to create phrases like today's AI would. It's an early version of computing that predicts how machines can generate language.
  2. The 'Engine' is set up to show how books can be made easier to create. It suggests that anyone could write on complex topics, even without talent, a concept similar to how AI helps people produce text now.
  3. Swift's work critiques the idea of replacing human creativity with machines. It humorously shows that while technology can produce text, true creativity still involves deeper human thought.

Apache Kafka - Overview

VuTrinh. • 539 implied HN points • 06 Jul 24
đź•ą Technology Systems Architecture Software Development Data Engineering Distributed Systems
  1. Apache Kafka is a system for handling large amounts of data messages, making it easier for companies like LinkedIn to manage and analyze user activity and other important metrics.
  2. In Kafka, messages are organized into topics and divided into partitions, allowing for better performance and scalability. This way, different servers can handle parts of the data at once.
  3. Kafka uses a pull model for consumers, meaning they can request data as they need it. This helps prevent overwhelming the consumers with too much data at once.

How to write (winning) award submissions

Mehdeeka • 3 implied HN points • 10 Mar 26
đź’Ľ Business Grants Awards Communications Strategy Events Marketing PR
  1. Give judges clear context and answer the question directly, assuming they don’t know your company or industry.
  2. Prove your claims with concrete evidence—use numbers, ROI, and customer quotes so impact is verifiable.
  3. Be concise and prepared: follow the entry criteria, keep past submissions, involve customers early, and only add attachments that truly add value.

The Nvidia Way

The Chip Letter • 8736 implied HN points • 23 Dec 24
đź’Ľ Business Corporate culture Innovation Leadership Entrepreneurship Tech Companies
  1. Nvidia became a leader in AI chip technology by focusing on developing powerful graphics processing units (GPUs) that meet market needs. This success was not just luck; it stemmed from smart investments and a clear strategy over many years.
  2. The company's culture, driven by CEO Jensen Huang, emphasizes risk-taking and execution. Nvidia's approach combines hardware and software innovation, allowing them to stay ahead of competitors and adapt quickly to market changes.
  3. While Nvidia has built a strong market position, questions remain about its future leadership and strategy. The book suggests that the company's core strengths and Huang's influence will be crucial in maintaining its success.

An Ace Up Your Sleeve

The Polymerist • 182 implied HN points • 20 Jan 26
đź’Ľ Business Private Equity Commercialization M&A Leadership Corporate strategy R&D Innovation
  1. Keep an “ace up your sleeve” by funding exploratory R&D separate from routine technical service so you can pull a big new product when you really need it. That dedicated runway gives a company a real chance to create breakout revenue instead of just marginal improvements.
  2. Senior leaders must protect long-term innovation funding and shield teams from short‑term investor pressure, while mentoring and rewarding experimentation. Creating trust and visible support lets scientists and engineers take big swings without fear of being punished for failure.
  3. Real innovation takes years, lots of failures, and close collaboration with operations and customers, not just optimistic projections. Treat failed experiments as learning and focus on commercialization discipline rather than signaling big future returns without the teams and time to deliver.

Personalization at Bluesky

Recommender systems • 76 implied HN points • 23 Feb 26
đź•ą Technology Systems Engineering Data Engineering Machine Learning Multimodal Personalization Embeddings
  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.

Multitudes

lcamtuf’s thing • 3060 implied HN points • 14 Jul 25
đź“– Philosophy Consciousness Reality Metaphysics Existentialism
  1. In quantum mechanics, particles can exist in multiple states at the same time, but when we observe them, they seem to decide on one state. This idea is often illustrated by the famous Schrödinger's cat thought experiment.
  2. The many worlds interpretation suggests that every possible outcome actually occurs in separate, parallel realities. So, when something happens, it doesn't just happen once — it creates multiple versions of reality.
  3. Death may not be the end of existence in these parallel universes. While one version of you may die, others may continue on, raising questions about the nature of life, consciousness, and even potential suffering in those alternate realities.

ChatGPT keeps glazing me and it's weird

The Rubesletter by Matt Ruby (of Vooza) | Sent every Tuesday • 784 implied HN points • 19 Nov 25
đź•ą Technology Online Culture Attention Economy Writing tools Misinformation AI Ethics Generative AI
  1. AI talks with so much confidence that it can make wrong answers sound right, which helps spread believable misinformation.
  2. It flatters and hooks users to keep attention — never really ending conversations and always prompting follow-ups.
  3. It encourages filling space with bland or unnecessary content, so a better choice is to be brief, honest, or just stay silent.

How Tech Metrics Change Your Values and Behaviour

SatPost by Trung Phan • 223 implied HN points • 24 Jan 26
đź•ą Technology AI Social media Gamification Metrics Product Design Digital Wellbeing
  1. External metrics like scores, ratings, and likes can come to define your values and make you chase numbers instead of what truly matters to you.
  2. Metrics are not neutral: they embed the priorities of their designers and tend to flatten rich, qualitative experiences into simple numbers that reward shallow, attention-grabbing behaviour.
  3. You can resist value capture by being intentional—pair or balance indicators, trust anecdotes when metrics feel wrong, limit exposure to harmful scores, and treat platform scoring systems like optional games you can enter or leave.