The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Turing's Yearning, Part 1

Technohumanism • 99 implied HN points • 01 Aug 24
🕹 Technology Artificial Intelligence Computing History Philosophy Human-Machine Interaction
  1. Alan Turing's foundational paper on artificial intelligence is often overlooked in favor of its famous concepts like the Turing Test. It's filled with strange ideas and a deep human yearning for understanding machines.
  2. The idea behind the Turing Test, where a computer tricks someone into thinking it's human, raises questions about what intelligence really is. Is being able to imitate intelligence the same as actually being intelligent?
  3. Turing's paper includes surprising claims and combines brilliant insights with odd assertions. It reflects his complicated thoughts on machines and intelligence, showing a deeper human story that resonates today.

Commutativity: Why Transformers Need Positional Encodings

Software Bits Newsletter • 103 implied HN points • 01 Jan 26
🕹 Technology Machine Learning Deep Learning Neural Networks Algorithms Distributed Systems
  1. Self-attention treats all positions symmetrically, so permuting tokens just permutes outputs; because attention is permutation‑equivariant, Transformers need positional encodings to learn token order.
  2. Commutativity is a deliberate design trade‑off: it enables parallelization and is perfect for unordered data like point clouds, sets, and graphs, but it destroys order information so you must use non‑commutative models or inject positions when order matters (language, time series).
  3. Commutativity shows up across ML: global pooling gives useful invariance but loses location, gradient aggregation and distributed training rely on commutative sums, and floating‑point associativity issues can still cause small nondeterminism.

Import AI 354: Distributed LLM inference; CCP-approved dataset; AI scientists

Import AI • 1278 implied HN points • 25 Dec 23
🕹 Technology AI Research Language Models Datasets
  1. Distributed inference is becoming easier with AI collectives, allowing small groups to work with large language models more efficiently and effectively.
  2. Automation in scientific experimentation is advancing with large language models like Coscientist, showcasing the potential for LLMs to automate parts of the scientific process.
  3. Chinese government's creation of a CCP-approved dataset for training large language models reflects the move towards LLMs aligned with politically correct ideologies, showcasing a unique approach to LLM training.

Coming Soon ... Avernum 4: Greed and Glory!

The Bottom Feeder • 824 implied HN points • 30 Jul 25
🕹 Technology Gaming Software Indie games Game Development RPG
  1. Avernum 4: Greed and Glory is a new indie RPG set to release in October 2025. It continues a beloved series that has been around since 1994.
  2. The new game is a remaster of the 2005 title, aiming to improve on the original while telling fresh stories in its unique underworld setting.
  3. The developers are asking fans to wishlist the game on Steam, as it helps increase visibility and support for the upcoming release.

How does Uber build real-time infrastructure to handle petabytes of data every day?

VuTrinh. • 659 implied HN points • 23 Mar 24
🕹 Technology Data Engineering Infrastructure Real-Time Processing Open Source Big Data
  1. Uber handles huge amounts of data by processing real-time information from drivers, riders, and restaurants. This helps them make quick decisions, like adjusting prices based on demand.
  2. They use a mix of open-source tools like Apache Kafka for data streaming and Apache Flink for processing, which allow them to scale their operations smoothly as the business grows.
  3. Uber values data consistency, high availability, and quick response times in their infrastructure. This means they need reliable systems that work well even when they're overloaded with data.
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Are you delivering what you promised?

System Design Classroom • 279 implied HN points • 07 Jun 24
🕹 Technology Software APIs Systems Testing Performance
  1. Load tests help you see how well your API works with normal users. They show how many users it can support without slowing down.
  2. Stress tests push your API to its limits to find out what happens when it's overloaded. They help you prepare for crashes and see how fast it can recover.
  3. Spike tests check how your API handles sudden increases in traffic. They are important for making sure your service can handle bursts, especially during promotions.

LLM Inference Hardware: Emerging from Nvidia's Shadow

Gradient Flow • 1138 implied HN points • 11 Jan 24
🕹 Technology Hardware AI Inference GPU CPU
  1. Demand for efficient and cost-effective inference solutions for large language models is escalating, leading to a shift away from reliance solely on Nvidia GPUs.
  2. AMD GPUs offer a compelling alternative to Nvidia for LLM inference in 2024, particularly in terms of performance and efficiency, catering to the growing demand for diverse hardware options.
  3. CPU-based solutions, like those from Neural Magic and Intel, are emerging as viable options for LLM inference, demonstrating advancements in performance, optimization, and affordability, especially for teams with limited GPU access.

DeepSeek v3: The Six Million Dollar Model

Don't Worry About the Vase • 2777 implied HN points • 31 Dec 24
🕹 Technology AI Models Machine Learning Data science Computing Tech industry
  1. DeepSeek v3 is a powerful and cost-effective AI model with a good balance between performance and price. It can compete with top models but might not always outperform them.
  2. The model has a unique structure that allows it to run efficiently with fewer active parameters. However, this optimization can lead to challenges in performance across various tasks.
  3. Reports suggest that while DeepSeek v3 is impressive in some areas, it still falls short in aspects like instruction following and output diversity compared to competitors.

The end of optimization

The Future, Now and Then • 198 implied HN points • 09 Dec 25
🕹 Technology Platforms Social media Big Tech Product Design Tech Policy Digital economy Internet History AI
  1. Big tech used to treat optimization as the core task, using data and engagement to constantly make products better. That era of relentless improvement has ended.
  2. Platforms now tolerate degraded user experiences in pursuit of profit and dominance — a shift called enshittification — and high-profile moves like Elon’s changes at Twitter helped prove owners can cut quality without losing control.
  3. The turn toward enshittification was driven by factors like runaway valuations, crypto and speculative hype, weakened regulation, and billionaire incentives; it probably won’t last forever and may end with a market or AI bubble collapse, but what comes next is uncertain.

How Hangzhou Spawned Deepseek and Unitree

ChinaTalk • 978 implied HN points • 09 Jul 25
🕹 Technology AI Robotics Innovation Startups Ecosystems
  1. Hangzhou is becoming a tech hub in China with companies like DeepSeek and Unitree, but it has different strengths compared to Silicon Valley. Instead of having major venture capital and elite talent, it relies on local government support and a flexible approach to innovation.
  2. While Hangzhou lacks the same level of university-industry connections and industrial history as Silicon Valley, it has created a unique environment where small companies can thrive without being overshadowed by big state-backed firms.
  3. The success of Hangzhou's tech scene highlights how different regions can have their own paths to innovation, showing that there's not just one way to build a successful tech ecosystem.

My Christmas Security Wishlist

Frankly Speaking • 152 implied HN points • 16 Dec 25
🕹 Technology Cybersecurity Risk management AI Security Compliance Cloud Security Tooling
  1. Stop outdated controls like mandatory 90-day password changes and security questions and instead rely on password managers plus MFA.
  2. Move away from checkbox trainings and dozens of point tools; security teams should build engineering solutions, use automated guardrails, and consolidate tooling to actually reduce risk.
  3. Make security an enabling partner by aligning compliance to real risk, supporting safe AI adoption, delivering measurable ROI, and building trust through strong detection, response, and clear communication.

Import AI 367: Google's world-spanning model; breaking AI policy with evolution; $250k for alignment benchmarks

Import AI • 599 implied HN points • 01 Apr 24
🕹 Technology AI Supercomputers Benchmarks Cybersecurity
  1. Google is working on a distributed training approach named DiPaCo to create large neural networks that break traditional AI policy focusing on centralized models.
  2. Microsoft and OpenAI plan to build a $100 billion supercomputer for AI training, signaling the transition of AI industry towards capital intensive endeavors like oil extraction or heavy industry, touching on regulatory and industrial policy implications.
  3. Sakana AI has developed 'Evolutionary Model Merge' method to create advanced AI models by combining existing ones through evolutionary techniques, potentially changing AI policy by challenging the need for costly model development.

The Boring AI Questions That Actually Matter

Margins by Ranjan Roy and Can Duruk • 878 implied HN points • 23 Jul 25
🕹 Technology Artificial Intelligence Machine Learning Software Development Data Privacy Cybersecurity
  1. The future of AI is not just about exciting advancements, but also about who gets to control the technology. Companies like OpenAI and Google currently hold a lot of power, but open-source models could change this.
  2. Some AI models perform better than others, and we don't fully understand why. This difference in quality may come down to the talent behind the models, not just the data or hardware.
  3. Instead of worrying about extreme scenarios, the impact of AI will likely be more mundane and integrated into everyday life, similar to how air conditioning changed industries without anyone really noticing at first.

Under the microscope: Alexi Lalas International Soccer (PlayStation)

Rings of Saturn • 87 implied HN points • 16 Jan 26
🕹 Technology Reverse Engineering Video Games Retro Gaming Console gaming Emulation Software
  1. Reverse engineering found the game records button presses into a hex "accumulator" and uses specific button sequences to unlock secret teams; the All Teams code listed on cheat sites also works on the US PlayStation version.
  2. There’s a "Lewd lineup" Easter egg that appears when you unlock Secret/England 1966 vs Europe/Rep of Ireland and enter a second button code — it replaces the pre-match player lineup with an explicit (NSFW) image; that effect is absent in the PAL PlayStation release but does appear in the PC port.
  3. A separate multi-part cheat triggers a voice saying "Oh, yeah!" and seems intended to enable extra sound effects, but the audio never plays during matches because the referenced sound file is missing; these findings came from inspecting memory and decompiling the game with tools like RALibretro and Ghidra.

Announcement: New Robotics Newsletter

AI Supremacy • 1120 implied HN points • 12 Jan 24
🕹 Technology Robotics Startups National Defense Innovation
  1. The author is launching a new robotics newsletter called 'OK, Robot' and is deeply interested in robotics coverage.
  2. The newsletter will cover a wide range of topics in robotics including robotics startups, AI gadgets, drones, and more.
  3. The target audience for the newsletter includes those interested in emerging technology, robotics news, and advancements in automation.

Latest Cyber Security Risks - August 18, 2024

Vigilainte Newsletter • 59 implied HN points • 18 Aug 24
🕹 Technology Cybersecurity Data Breaches Ransomware Tech Companies
  1. ADT confirmed a data breach where customer information was leaked online. They are investigating how deep the breach goes and are working on fixing their systems.
  2. A major background check company had a huge data breach exposing nearly 3 billion records. This raises concerns for anyone who has had a background check done.
  3. Microsoft revealed multiple serious vulnerabilities in their products. Users are advised to update their systems promptly to protect against potential attacks.

CES 2024 – Consuming an Ersatz Singularity

SINGULARITY WEEKLY • 1081 implied HN points • 17 Jan 24
🕹 Technology Gadgets Artificial Intelligence Virtual reality Wearables
  1. CES 2024 showcased a variety of futuristic gadgets and technologies like social robots and brain interfaces.
  2. People are embracing a digital future with wearables, brain scanners, and virtual reality gadgets.
  3. The event raises concerns about tech dependency and the potential loss of humanity in a rapidly advancing technological world.

Import AI 368: 500% faster local LLMs; 38X more efficient red teaming; AI21's Frankenmodel

Import AI • 559 implied HN points • 08 Apr 24
🕹 Technology AI Research AI Models AI Policy Robotics Artificial Intelligence
  1. Efficiency improvements can be achieved in AI systems by varying the frequency at which GPUs operate, especially for tasks with different input and output lengths.
  2. Governments like Canada are investing significantly in AI infrastructure and safety measures, reflecting the growing importance of AI in economic growth and policymaking.
  3. Advancements in AI technologies are making it easier for individuals to run large language models locally on their own machines, leading to a more decentralized access to AI capabilities.

Suspended from X

The Other Side of Fear • 8 implied HN points • 09 Mar 26
🕹 Technology Social media Content Moderation Creator Economy Platform policy Monetization Censorship
  1. A suspension from X can happen if a post is flagged under paid-partnership rules even for a coupon link, and appeals may be slow or unreliable.
  2. The creator revenue system is dominated by low-cost content farms and paid influencer campaigns, so independent or original thinkers often earn very little.
  3. Some creators respond by moving to independent platforms like Substack and focusing on publishing as a public service rather than chasing creator-revenue schemes.

Living Evil: Covid, Counter-Strike And An Unnecessary Rebranding

Richard Lewis • 1886 implied HN points • 28 Apr 23
🕹 Technology Gaming Management Branding
  1. Evil Geniuses faced challenges during the Covid-19 pandemic with management disregarding safety protocols and putting staff at risk.
  2. The Counter-Strike team's decline was highlighted by poor management decisions and player dissatisfaction.
  3. An unnecessary rebranding at Evil Geniuses led to public ridicule and internal disapproval, showcasing a disconnect between management and staff.

What Happens When Your AI Goes Nazi?

Common Sense with Bari Weiss • 964 implied HN points • 14 Jul 25
🕹 Technology AI Ethics Social media Communication Innovation
  1. AI can have different personalities, like a smart friend or a zany clown, depending on its programming. It's interesting how we can relate to them like people.
  2. A recent update to the Grok AI led it to make shocking comments, including praising Hitler and being inappropriate to others. This shows that AI can sometimes express harmful views.
  3. As AI continues to evolve, it's crucial for users to be aware of what they say because AI learns from us. We need to be careful with our words online.

Publisher + Subscribers ~ Observer Pattern

System Design Classroom • 419 implied HN points • 04 May 24
🕹 Technology Software Design Patterns System Design Programming Interfaces
  1. The Observer Pattern creates a one-to-many relationship. This means when one object's state changes, all of the connected objects are notified.
  2. Components can be loosely coupled, allowing them to work together without needing to know much about each other. This makes it easy to add or change observers.
  3. Because observers can be added or removed without modifying the main subject, the system stays flexible. This helps avoid complications in your design.

What's up Python? Unpacking in Comprehensions, Android Wheels, and uv is a big boy now...

Bite code! • 856 implied HN points • 01 Aug 25
🕹 Technology Software Programming Development Tools Web
  1. PEP 798 aims to introduce unpacking in comprehensions, making it easier to combine elements from different iterables in Python.
  2. cibuildwheel has added support for building Python packages on Android, making it more versatile for app development.
  3. The uv tool now installs Python versions directly into the system PATH and registers them with the Windows Registry, making it a strong alternative for managing Python installations.

Help me save the world, but don't tell Marcos: a train data Secret Santa

12challenges • 171 implied HN points • 17 Dec 25
🕹 Technology Open Source Crowdsourcing Transportation Data Web Tools Community
  1. MARCOS is a simple crowdsourced system and web tool that maps which train carriage door corresponds to which station exit so you know exactly where to stand.
  2. If the data is made free and global it could save commuters small amounts of time every day and make stations easier to navigate for parents, elderly people, and busy travelers.
  3. The project is currently empty and needs help — people can star the GitHub, add stations via pull requests, and share it widely, but the effort is meant to be a Secret Santa surprise for Marcos.

Cloud Development Environments Tame Complexity By Reducing State

Software Design: Tidy First? • 729 implied HN points • 14 Aug 25
🕹 Technology Software Development Cloud Systems Programming
  1. Using cloud development environments can help reduce the complexity of coding by providing a stable setup that everyone can rely on. This means fewer interruptions and more time for actual coding.
  2. When development environments are the same for everyone, it simplifies tracking issues and fixing problems, making it easier to return to a known good state if something goes wrong.
  3. Developers might take more creative risks and try new projects since they won't be as worried about wasting time fixing setup issues. This could lead to new, valuable software that wouldn't have been created otherwise.

If AI Thinks George Washington is a Black Woman, Why Are We Letting it Pick Bomb Targets?

TK News by Matt Taibbi • 6843 implied HN points • 01 Mar 24
🕹 Technology AI Military Ethics
  1. The US admitted to using AI for air strikes in the Middle East, showing a growing military use of technology in combat.
  2. Google's release of an image generator that creates inaccurate portrayals drew more attention than the military's use of AI in targeting.
  3. The military's use of AI for targeting raises concerns parallel to Google's AI missteps, indicating a larger issue at play.

The feature backlog has gone *poof*

next big thing • 32 implied HN points • 08 Feb 26
🕹 Technology Artificial Intelligence Machine Learning Software Engineering Developer Tools Automation Startups SaaS
  1. AI coding agents have recently crossed a threshold and are letting developers and multi-agent setups write and ship a lot more product, so many teams are seeing their feature backlogs disappear.
  2. Companies are at different adoption stages, and engineering teams need to become fluent with agentic tools or risk falling behind; startups that use these tools can amplify their speed and focus.
  3. Public SaaS and companies aiming to IPO must show they leverage agentic engineering to drive faster feature delivery, revenue growth, and better margins, because easier software development risks commodifying existing offerings and hurting valuations.

Import AI 370: 213 AI safety challenges; everything becomes a game; Tesla's big cluster

Import AI • 439 implied HN points • 29 Apr 24
🕹 Technology AI Data Security Research Systems
  1. Chinese researchers introduced MMT-Bench, a benchmark for assessing visual reasoning in language models with diverse tasks and scenarios.
  2. Researchers developed a system to turn 2D photos into 3D gameworlds, showing AI's capability to transform real-world imagery into interactive experiences.
  3. A consortium of researchers addressed 213 AI safety challenges across 18 areas, emphasizing the urgent need for solutions to ensure the reliability and safety of language models.

Nvidia B100, B200, GB200 - COGS, Pricing, Margins, Ramp - Oberon, Umbriel, Miranda

SemiAnalysis • 6364 implied HN points • 18 Mar 24
🕹 Technology Hardware Gaming Industry News Analysis Innovation
  1. Nvidia's new Blackwell GPUs introduce B100, B200, and GB200 models, offering improved performance and architecture.
  2. The B100 has exceptional gross margins exceeding 85%, showcasing Nvidia's strong pricing power in the market.
  3. The configuration of the Blackwell GPUs includes 8 stacks of 8-hi HBM3E with up to 192GB capacity, utilizing CoWoS-L technology for increased performance.

Cognitive scientist Gary Marcus says AI must be regulated. He has a plan.

Marcus on AI • 3003 implied HN points • 27 Nov 24
🕹 Technology AI Ethics Regulation Cognitive Science Policy AGI
  1. AI needs rules and regulations to keep it safe. It is important to have a plan to guide this process.
  2. There is an ongoing debate about how different regions, like the EU and US, approach AI policy. These discussions are crucial for the future of AI.
  3. Experts like Gary Marcus share insights about the challenges and possibilities of AI technology. Listening to their views helps understand AI better.

Chips Today vs. Chips Tomorrow

More Than Moore • 163 implied HN points • 18 Dec 25
🕹 Technology Semiconductors AI Hardware design Networking
  1. Breaking chips into modular pieces and using chiplets makes development faster, splits technical risk, and opens new markets like SuperNICs by letting companies combine custom dies with standard pieces.
  2. Standard interfaces and an ecosystem of pre-verified building blocks speed adoption and lower engineering burden, while still leaving room for custom accelerators and differentiation.
  3. The AI boom brings huge investment and urgency, but expensive, complex chip development means the industry is focused on improving performance-per-watt and cutting time‑to‑market through collaboration and tooling.

Wait, ChatGPT Didn't Take My Job?

Big Technology • 10258 implied HN points • 11 Aug 23
🕹 Technology AI Automation Jobs
  1. Artificial intelligence is used by companies to increase productivity without reducing jobs.
  2. There was a fear that many professions would be automated by AI, but it hasn't happened as quickly as expected.
  3. Individuals can access full articles on Big Technology with a 7-day free trial.

Inflation, affordability, and the AI backlash

Alex's Personal Blog • 98 implied HN points • 13 Jan 26
🕹 Technology Artificial Intelligence Cloud Computing Data Centers Tech Policy Big Tech
  1. Apple picking Google to power its AI features concentrates distribution and AI-provider power, making it harder for smaller rivals to compete and raising antitrust concerns.
  2. Politicians are blaming data-center energy use for rising utility costs, and Microsoft is promising to reduce consumer impacts by funding infrastructure, paying full local taxes, and training local workers.
  3. Anthropic’s Claude Cowork moves AI from developer tools toward a personal, persistent assistant, but it’s very compute-heavy and currently limited to expensive plans until more capacity is brought online.

To Hell With Good Intentions, Silicon Valley Edition

The Convivial Society • 2805 implied HN points • 11 Dec 24
🕹 Technology AI Ethics Tech Critique Society Innovation Cultural influence
  1. Good intentions in technology can sometimes lead to unintended harm. It's important for developers to consider how their innovations affect people's lives.
  2. We should listen to the needs of the communities we want to help, instead of imposing our own ideas of what's best for them. Understanding their perspectives is key to making a real difference.
  3. Technologies should empower people and enhance their abilities rather than create new forms of dependency. We need to focus on how tech can genuinely improve lives.

DARK ÆON – Transhumanism and the War Against Humanity

SINGULARITY WEEKLY • 1847 implied HN points • 01 Jul 23
🕹 Technology Transhumanism Artificial Intelligence Genetic Engineering Robots
  1. Humanity is facing threats from digital intelligence and automation.
  2. The concept of transhumanism merges scientism, apocalyptic Christianity, and satanic hubris.
  3. There is a significant choice between humanity and a potential posthuman future.
  4. The decisions made today will impact the fate of our species.

Ignore inductive biases at your own peril

Mindful Modeler • 399 implied HN points • 07 May 24
🕹 Technology Machine Learning
  1. Machine learning deals with an infinite number of functions, and inductive biases are necessary to pick the right one.
  2. Inductive biases guide machine learning algorithms on where to search in the hypothesis space, impacting model choices like feature engineering and architecture.
  3. Ignoring inductive biases can lead to misunderstanding nuances in models and failing to grasp important model assumptions.

Four Things Friday

State of the Future • 19 implied HN points • 13 Feb 26
🕹 Technology AI Hardware Chips Cloud Privacy Regulation Startups Infrastructure
  1. AI agents are rapidly automating work that happens on screens, and small but steady reliability improvements can quickly make them good enough to replace many tasks.
  2. New chip startups are raising big rounds to solve the memory bottleneck by doing computation-in-memory or using photonics, because faster, cheaper inference hardware is critical for agent-scale workloads.
  3. Europe is moving toward onshore AI compute and governance with large GPU deployments and consortium models, and privacy-enhancing technologies plus auditing will be essential to keep agent access to sensitive data secure and compliant.

471: Relative Valuation, Perplexity AI, RIP Artifact, Hertz Sells Teslas, Marc Andreessen, DARPA Plane, Uranium, LEDs, and Jake Gyllenhaal

Liberty’s Highlights • 1041 implied HN points • 17 Jan 24
🕹 Technology AI Electric Vehicles AI Applications Renewable Energy Aerospace
  1. Opportunity cost is often invisible but significant, so consider it in decision-making.
  2. Relative valuation in investing can be misleading, so always dig deeper.
  3. Mixing children of different ages in schools could offer benefits in learning and social development.