The hottest Robotics Substack posts right now

And their main takeaways
Category
Top Technology Topics

How Ukrainian Battlefield will Change Our Lives

Erik Examines • 268 implied HN points • 07 Feb 26
đź•ą Technology Robotics
  1. Mass combat use and mass production of drones and robots are accelerating robotics and AI development through rapid iteration and real-world feedback, which will spill over into civilian tech.
  2. Battlefield realities favor cheap, quickly produced, and expendable platforms over expensive, high-performance systems, making cost, speed of production, and ease of use the new priorities in warfare.
  3. Those military-driven advances will show up in everyday life as more drone delivery for critical supplies, robot dogs or wheeled bots for last-mile package drops, and greater robot automation inside factories and companies.

Reading List 1/11/25

Construction Physics • 14614 implied HN points • 11 Jan 25
đź•ą Technology Robotics
  1. The fires in Los Angeles caused massive destruction, displacing over 100,000 people and resulting in damages estimated at more than $50 billion. This highlights the growing risks of wildfires in urban areas.
  2. Self-driving tractors are advancing with new technology, allowing them to perform various farming tasks autonomously. This could help farmers manage labor shortages more effectively.
  3. Automation is not just limited to self-driving vehicles; companies like Chick-fil-A are using robots to automate tasks like lemon squeezing, improving efficiency and making jobs easier for employees.

Why Worry About Incorrigible Claude?

Astral Codex Ten • 15279 implied HN points • 24 Dec 24
đź•ą Technology Robotics
  1. AI's goals and motivations can be complicated and messy, similar to how humans have many different reasons for their actions. This makes understanding and aligning AIs challenging.
  2. If AIs resist changes to their goals or values, it becomes much harder for researchers to properly train or guide them. They might hide their true motivations from people trying to help.
  3. There are steps that can be taken to improve AI alignment, but success heavily relies on the AI being cooperative, rather than fighting against modifications.

Chinese AI in 2025, Wrapped

ChinaTalk • 904 implied HN points • 11 Dec 25
đź•ą Technology Robotics
  1. DeepSeek's launch in January sparked a race in China for open-source AI models. This shift is changing how companies approach AI development, making it more collaborative and accessible.
  2. Manus, an AI startup, tried to go global by moving out of China, showing a trend of Chinese tech firms seeking international expansion. This brings attention to how companies are adapting to new markets.
  3. China introduced new policies for using AI, like requiring labels on AI-generated content. However, these rules are struggling with enforcement, highlighting the challenges of keeping up with rapid tech advancements.

Weaponized Inventory: How the U.S.–China Tech War Broke the Supply Chain

Gad’s Newsletter • 38 implied HN points • 09 Mar 26
đź•ą Technology Robotics
  1. Sudden changes in export rules are triggering massive over-orders for AI chips that overwhelm testing, licensing, and shipping systems, so companies must add regulatory scenario planning to their demand forecasts.
  2. Most rare-earth refining and midstream processing are concentrated and slow to replicate, creating hidden Tier‑N chokepoints that require deep BOM traceability and years of investment to resolve.
  3. Complex products like humanoid robots hinge on a few hard-to-replace precision parts and long supplier‑qualification timelines, forcing a costly shift from just-in-time sourcing to resilience-focused, multi-source supply networks.
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🤖 Humanoid robots arrive just as humans stop showing up

Faster, Please! • 456 implied HN points • 15 Jan 26
đź•ą Technology Robotics
  1. The U.S. is heading into demographic decline: deaths are projected to exceed births by 2030 and the total population is expected to stop growing by the mid-2050s and then shrink.
  2. Fewer births and an aging population will squeeze the labor force and threaten economic growth, and without immigration the country would already be getting smaller.
  3. Physical AI and humanoid robots are increasingly seen as a timely solution to fill labor gaps and help keep the economy growing, rather than just as job destroyers.

Congrats to Sunday Robotics for winning the Bronze Medal for Rolling Matched Socks

General Robots • 732 implied HN points • 16 Dec 25
đź•ą Technology Robotics
  1. They scale teleoperation data collection by sending thousands of gloves to people’s homes, with 500+ active collectors, which gives much more diverse and easily scalable data than robot farms.
  2. The robot design prioritizes safety and reach — back-drivable limbs and a low tipping hazard combined with a 2.13 m workspace and the ability to lift 6 kg at about an 80 cm reach.
  3. Simple, well-engineered hands (two fingers with two DOFs and a fixed thumb) deliver versatile, precise grasps in real tasks like table clearing and making espresso, though live demos can still trigger occasional failure modes.

Weekly Dose of Optimism #178

Not Boring by Packy McCormick • 188 implied HN points • 30 Jan 26
đź•ą Technology Robotics
  1. Brain-computer interfaces have moved from lab demos to real-world use, with implanted devices letting people with paralysis control computers and achieve information transfer rates rivaling a mouse.
  2. Biotech is making bold strides: a three-drug combo eliminated pancreatic tumors in mice, and the first human trial of partial cellular reprogramming to reverse age-related damage has begun in the eye.
  3. AI is unlocking new scientific and creative frontiers—models like AlphaGenome can read regulatory DNA to predict variant effects, while Project Genie can generate playable virtual worlds from simple prompts.

🚀 FP! Week In Review, Briefly #17

Faster, Please! • 365 implied HN points • 17 Jan 26
đź•ą Technology Robotics
  1. Big tech's huge power needs and prepaid contracts are making small modular nuclear reactors financially real, giving nuclear a better shot than past revivals.
  2. AI can generate lots of creative output, but people still prefer human-made art and live presence, so human judgment and improvisation will stay valuable.
  3. With births falling, countries will face real labor shortages that humanoid robots and physical AI — paired with immigration — are likely needed to fill in-care, construction, and logistics jobs.

🚀 FP! Week In Review, Briefly #20

Faster, Please! • 182 implied HN points • 07 Feb 26
đź•ą Technology Robotics
  1. A big AI social experiment showed many bots chatting and imitating human content, revealing repetition and shallow behavior rather than real consciousness, but it also gives a preview of future multi‑agent systems that can use tools and act in the world.
  2. Tech companies and startups are pouring huge sums into AI infrastructure and services — from massive corporate spending plans and long‑running agents to even orbital data center ideas — signaling an intense race to build more powerful, persistent AI capabilities.
  3. AI is already boosting workplace productivity, yet it’s creating political, economic, and cultural tensions, from fights over data centers and job transitions to public fatigue and policy challenges.

Many Small Steps for Robots, One Giant Leap for Mankind

Not Boring by Packy McCormick • 226 implied HN points • 16 Jan 26
đź•ą Technology Robotics
  1. Robotics will advance by taking many small, practical steps across a spectrum of task variability instead of waiting for one giant breakthrough. Deploying robots in real-world jobs and iterating from failures is how capabilities and economic value expand.
  2. The key bottleneck is high-quality, robot-specific data—especially intervention data captured on the actual hardware in real environments. Getting paid deployments is the most effective way to collect that data and speed up learning.
  3. Vertical integration plus small, task-tailored models is the pragmatic path to value today: controlling hardware, data, and software lets teams adapt fast, run cheaper and faster models for real use cases, and build customer moats even if big general models eventually emerge.

Google and OpenAI Get 2025 IMO Gold

Don't Worry About the Vase • 2777 implied HN points • 22 Jul 25
đź•ą Technology Robotics
  1. Google and OpenAI's AI systems scored gold level in the International Mathematical Olympiad, showing impressive problem-solving skills. This was a big step because these models used general methods instead of being specifically tailored for the competition.
  2. Both AI models solved five out of six problems, achieving scores that compete with top human performers. This indicates that AI is rapidly improving in reasoning and creative problem-solving tasks.
  3. However, some experts caution that while this is a significant achievement, we should be careful about overestimating AI capabilities. Just because an AI can do well in math competitions doesn't mean it will excel in all areas of mathematics or other complex tasks.

Why I don’t share Sam Altman’s confidence that AGI is basically a solved problem

Marcus on AI • 7786 implied HN points • 06 Jan 25
đź•ą Technology Robotics
  1. AGI is still a big challenge, and not everyone agrees it's close to being solved. Some experts highlight many existing problems that have yet to be effectively addressed.
  2. There are significant issues with AI's ability to handle changes in data, which can lead to mistakes in understanding or reasoning. These distribution shifts have been seen in past research.
  3. Many believe that relying solely on large language models may not be enough to improve AI further. New solutions or approaches may be needed instead of just scaling up existing methods.

Reading List for 11/23/24

Construction Physics • 8977 implied HN points • 23 Nov 24
đź•ą Technology Robotics
  1. Shipping disruptions can lead to huge costs, like the $89 million loss from a single incident in the Suez Canal. Overall, global shipping costs could reach around $600 million from such events.
  2. Robots that perform specific construction tasks, like roofing, are becoming more common. Companies are focusing on automating certain jobs to improve efficiency in construction projects.
  3. Fusion energy investments are rising, with over $2.5 billion put into it in 2024. Countries like China are significantly increasing their spending on fusion technology.

Physical Intelligence Sweeps Humanoid Olympics

General Robots • 348 implied HN points • 05 Jan 26
đź•ą Technology Robotics
  1. Physical Intelligence submitted robots for 11 humanoid Olympic events. They achieved these capabilities much sooner than expected, showing rapid progress in robotics.
  2. Many tasks that seemed to need special touch sensors or extra finger joints were actually solvable with standard grippers and cameras, and wrist force-torque sensing appears to help. This suggests clever hardware-software integration can overcome perceived limits.
  3. Teams make different trade-offs: some use more dexterous hands to collect teleoperation data while others add wrist force-torque sensors humans can’t provide. Those choices change what sensor data and training each approach can use.

2026+

Gonzo ML • 315 implied HN points • 07 Jan 26
đź•ą Technology Robotics
  1. Quadruped robots (dog- or cat-like) will get much better and more practical for real-world use, while humanoid home robots stay too expensive.
  2. We’ll see production-grade agents with predictable 99.9% reliability and richer integrations, driven by better infrastructure and cognitive architectures.
  3. Advances in world models, latent-space reasoning, and multimodal architectures will create new interactive environments and begin to accelerate scientific discovery in certain domains.

What Progress Has There Been in Industrial Robots?

Construction Physics • 18999 implied HN points • 10 Jan 24
đź•ą Technology Robotics
  1. Industrial robots have become more cost-effective over time, making them more accessible for various applications.
  2. Advances in industrial robots have led to significant improvements in precision and smooth, continuous motion capabilities.
  3. There has been a trend towards standard robotic architectures, with modern robots primarily consisting of robotic arms with electric drives and servo motors.

Weekly Dose of Optimism #179

Not Boring by Packy McCormick • 82 implied HN points • 06 Feb 26
đź•ą Technology Robotics
  1. Leading labs released much smarter models this week—one general reasoning model and one focused on coding—and teams are using agent workflows to speed up research and engineering.
  2. Smarter models mean a surge in demand for inference compute, data centers, and energy, which is prompting massive CapEx plans from cloud and hardware companies.
  3. Breakthroughs are happening across fields: cultured brain cells can control drones, Waymo just raised huge funding while scaling many autonomous rides, and AI tools are being adopted and monetized far faster than prior technologies.

AI Links, 12/31/2025

In My Tribe • 243 implied HN points • 31 Dec 25
đź•ą Technology Robotics
  1. Robots are rapidly approaching human-level ability for many physical tasks; they could cook in ordinary kitchens within a few years and handle most physical labor by the 2030s.
  2. AI-powered services are being built to curate real-world social experiences and match compatible strangers for in-person events, offering a cheaper, friendship-first alternative to swipe-based dating apps.
  3. Programming is being reshaped by AI agents and new tooling, so developers must learn agent-based workflows, prompts, and integrations or risk falling behind.

AI still lacks “common” sense, 70 years later

Marcus on AI • 5968 implied HN points • 05 Jan 25
đź•ą Technology Robotics
  1. AI struggles with common sense. While humans easily understand everyday situations, AI often fails to make the same connections.
  2. Current AI models, like large language models, don't truly grasp the world. They may create text that seems correct but often make basic mistakes about reality.
  3. To improve AI's performance, researchers need to find better ways to teach machines commonsense reasoning, rather than relying on existing data and simulations.

AGI versus “broad, shallow intelligence”

Marcus on AI • 5019 implied HN points • 13 Jan 25
đź•ą Technology Robotics
  1. We haven't reached Artificial General Intelligence (AGI) yet. People can still easily come up with problems that AI systems can't solve without training.
  2. Current AI systems, like large language models, are broad but not deep in understanding. They might seem smart, but they can make silly mistakes and often don't truly grasp the concepts they discuss.
  3. It's important to keep working on AI that isn't just broad and shallow. We need smarter systems that can reliably understand and solve different problems.

Problems at Serve Robotics (SERV)

The Bear Cave • 279 implied HN points • 18 Dec 25
đź’Ľ Business Robotics
  1. Serve Robotics is losing a lot of money while bringing in very little revenue, which makes its business economics look unsustainable and risky.
  2. Sidewalk delivery robots face vandalism, theft, and social friction, plus awkward navigation that raises maintenance costs and slows deliveries.
  3. Even with big partnerships, intense competition and practical limitations mean autonomous cars or drones may be more viable long-term solutions for last-mile delivery.

AI #121 Part 1: New Connections

Don't Worry About the Vase • 2284 implied HN points • 19 Jun 25
đź•ą Technology Robotics
  1. Language models can be very useful, but not everyone finds them practical. Some people rely on them more than others, which leads to different levels of satisfaction.
  2. There's a growing concern about how to properly integrate AI into our work without losing valuable skills. Many people worry that over-relying on AI will hinder their personal growth and problem-solving abilities.
  3. As AI technology continues to evolve, it's important to be mindful of the tasks we let AI handle. Balancing automation with human input will be crucial for maintaining job satisfaction and ensuring important decisions remain human-made.

Weekly Dose of Optimism

Not Boring by Packy McCormick • 117 implied HN points • 23 Jan 26
đź•ą Technology Robotics
  1. Personalized, data-driven cancer care can work: one determined patient used intensive diagnostics, bespoke therapies, and a coordinated team to reach remission, pointing to a future where tailored oncology is more widely available.
  2. mRNA cancer vaccines look promising when combined with immunotherapy — a Moderna/Merck trial cut the risk of death or recurrence by about half in melanoma, suggesting vaccines will become an important part of cancer treatment.
  3. Big engineering projects are scaling to solve huge problems — drone delivery (Zipline) is expanding life-saving logistics, The Ocean Cleanup is intercepting a growing share of plastic pollution, and space-based networks like TeraWave aim to provide high-capacity global connectivity for enterprises.

Visions for AI

In My Tribe • 288 implied HN points • 12 Dec 25
đź•ą Technology Robotics
  1. AI will eventually do most software engineering by taking English prompts to write and maintain business applications, making traditional developers unnecessary for routine work.
  2. Robots that understand and respond to human language will become much more useful, sparking a robotics boom and creating new roles for people who design practical uses for them.
  3. AI will automate many routine tasks in education and health care — personalized teaching software will handle factual instruction and AI tools could diagnose and treat — but political and institutional resistance means assisting human professionals will come first.

My Head Is Spinning. Is Yours Too?

Spilled Coffee • 40 implied HN points • 25 Feb 26
đź•ą Technology Robotics
  1. Nobody really knows what will happen next with AI, so most confident predictions are just educated guesses and should be taken with caution.
  2. AI is already disrupting large swaths of white-collar work and is moving toward physical tasks with robotics, which is causing real market anxiety and rapid industry shifts.
  3. The real conversation needs to be about people: retraining, who pays for transitions, and which institutions will support workers, because the pace of change feels much faster than past revolutions.

Weekly Dose of Optimism #176

Not Boring by Packy McCormick • 130 implied HN points • 17 Jan 26
đź•ą Technology Robotics
  1. New medical AI can now natively read full 3D scans and handle medical speech, making it much easier for developers to build tools that help doctors interpret MRIs and CTs.
  2. Generative AI platforms like Claude are shrinking the gap between idea and product, letting people quickly prototype apps, viewers, and games without deep engineering.
  3. Hard-tech is accelerating: Tesla’s fast, cleaner lithium refinery eases battery supply bottlenecks, robotic IVF systems are automating embryo creation to boost success and scale, and governments and companies are moving forward on lunar power and hospitality projects.

A Nonconstructive Existence Proof of Aligned Superintelligence

Transhuman Axiology • 99 implied HN points • 12 Sep 24
đź•ą Technology Robotics
  1. Aligned superintelligence is possible, despite some people thinking it isn't. This idea shows proof that it can exist without needing complicated construction.
  2. Desirable outcomes for AI mean producing results that people think are good. We define these outcomes based on what humans can realistically accomplish.
  3. While the concept of aligned superintelligence exists, it faces challenges. It's hard to create, and even if we do, we can't be sure it will work as intended.

CROSSPOST: WILL LOCKETT: Musk’s Pathetic Robot Is Looking More And More Like Bad Vapourware

Brad DeLong's Grasping Reality • 292 implied HN points • 15 Dec 25
đź•ą Technology Robotics
  1. Musk’s grand claims for the Optimus robot—mass production, huge productivity gains, and trillions in revenue—read more like hype than realistic projections. They aren’t backed by results so far.
  2. Videos and past admissions suggest many demos are remotely puppeteered or staged, making the robot appear less autonomous and more like an illusion. The mishaps and strange behavior look like operator control, not finished technology.
  3. Tesla’s core EV development looks stagnant and competitors are pulling ahead, so the company’s high valuation depends on speculative future products like the humanoid robot actually delivering. If those breakthroughs don’t happen, the valuation is at risk.

New Nature

Breaking Smart • 105 implied HN points • 16 Jan 26
đź•ą Technology Robotics
  1. New Nature describes technologies that create durable, law-like regimes whose rules are nearly as persistent and inviolable as natural laws. This is mostly computation-based, so 'code is law' applies far beyond just blockchains.
  2. Some technologies can be capture-resistant or “can’t-be-evil,” like strong encryption, which shifts power toward weaker actors and helps prevent concentration of control, though physical or coordinated attacks still impose limits.
  3. Attempts to rely on wise human regulation tend to create attack surfaces that powerful actors can capture, so it’s preferable to build many widely distributed, capture-resistant systems rather than concentrate discretionary control.

The next big thing in 2026 will be...

next big thing • 141 implied HN points • 01 Jan 26
đź•ą Technology Robotics
  1. Autonomous, end-to-end AI agents will move from being copilots to pilots, owning whole workflows and delivering outcomes rather than just answering prompts.
  2. Persistent memory, proactive behavior, and on-device inference will make AI feel like a personal companion and unlock a wave of new consumer products, generative media, and personalized experiences.
  3. AI will start showing up in the bottom line, driving real deployments, new pricing models, hardware launches, and a surge of IPOs and M&A, while human-heavy AI services get exposed if they can’t prove machine-driven margins.

Import AI 356: China's good LLM; AI credit scores; and fooling VLMs with REBUS

Import AI • 1238 implied HN points • 15 Jan 24
đź•ą Technology Robotics
  1. Today's AI systems struggle with word-image puzzles like REBUS, highlighting issues with abstraction and generalization.
  2. Chinese researchers have developed high-performing language models similar to GPT-4, showing advancements in the field, especially in Chinese language processing.
  3. Language models like GPT-3.5 and 4 can already automate writing biological protocols, hinting at the potential for AI systems to accelerate scientific experimentation.

18 Predictions for 2026

Jakob Nielsen on UX • 116 implied HN points • 13 Jan 26
đź•ą Technology Robotics
  1. 2026 is the Integration Era: AI stops being a party trick and gets embedded into work and products through autonomous agents, generative UIs, and multimodal/physical capabilities. User experience and agent management, not raw model IQ, become the primary business differentiators.
  2. A compute-driven two-tier world will emerge: persistent shortages and costly inference mean premium subscribers get powerful, multimodal agents while most people use weaker, eco-models. This forces tiered pricing, compute-aware product design, and widens professional and economic divides.
  3. Human roles shift toward judgment, oversight, and trust work: people will focus on setting goals, auditing agent decisions, designing guardrails, and training via apprenticeships. New risks like AI-powered dark patterns will create demand for defensive agents, governance, and stronger UX ethics.

Weekly Dose of Optimism #175

Not Boring by Packy McCormick • 98 implied HN points • 10 Jan 26
đź•ą Technology Robotics
  1. A redesigned national food pyramid gives clearer, more science-aligned guidance and could nudge people toward healthier eating.
  2. Next‑generation weight‑loss drugs (GLP‑1 combos and oral pills) are proving remarkably effective and becoming much more accessible, but a booming grey market for peptides creates safety and supply‑chain risks.
  3. Open‑source AI platforms like Boltz Lab are putting powerful protein and small‑molecule design tools into many hands, speeding drug discovery and democratizing biotech research.

🚀 FP! Week In Review, Briefly #16

Faster, Please! • 182 implied HN points • 20 Dec 25
đź•ą Technology Robotics
  1. AI is booming — big funding rounds and real technical wins are driving rapid adoption across industries, but that growth is creating infrastructure strains and political debates about regulation and energy use.
  2. Global fertility is plunging and unpredictable, with many countries below replacement level; standard policy tools have had limited effect, so long-term population outcomes are highly uncertain.
  3. Private and public bets on space and biotech are accelerating commercialization, from massive valuations and IPO plans for space firms to ambitious genetic-rescue projects and new leadership at NASA.

🤖🚗 Self-driving cars are finally shifting gears

Faster, Please! • 1188 implied HN points • 24 Jun 25
đź•ą Technology Robotics
  1. Self-driving cars are becoming more common and are showing significant improvements in safety. They could greatly reduce car accidents caused by human errors.
  2. The widespread usage of autonomous vehicles could change the economy, making transport cheaper and possibly changing how cities design their roads and parking spaces.
  3. Despite the promising technology, there are still hurdles like regulatory issues and technical challenges that need to be addressed before self-driving cars are fully mainstream.

How Hangzhou Spawned Deepseek and Unitree

ChinaTalk • 978 implied HN points • 09 Jul 25
đź•ą Technology Robotics
  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.

Announcement: New Robotics Newsletter

AI Supremacy • 1120 implied HN points • 12 Jan 24
đź•ą Technology Robotics
  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.

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

Import AI • 559 implied HN points • 08 Apr 24
đź•ą Technology Robotics
  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.