The hottest Robotics Substack posts right now

And their main takeaways
Category
Top Technology Topics

"Everything that moves in the future will be robotic."

Robots & Startups • 139 implied HN points • 24 Mar 24
🕹 Technology Robotics
  1. The future is predicted to be dominated by robotic technology, with everything that moves expected to be robotic.
  2. NVIDIA CEO Jensen Huang envisions the Omniverse as the future operating system and aims to make computers smarter for easier human interactions.
  3. The robotics industry is rapidly advancing, with developments in humanoid robots, AI, and innovative collaborations between humans and robots promising significant changes in various sectors like labor, healthcare, and space exploration.

Import AI 348: DeepMind defines AGI; the best free LLM is made in China; mind controlling robots

Import AI • 339 implied HN points • 13 Nov 23
🕹 Technology Robotics
  1. DeepMind defines AGI levels and the risks they pose, highlighting the potential societal impacts of increasingly autonomous AI systems.
  2. Researchers have created smart glasses with object detection capabilities powered by a miniaturized YOLO model, showcasing the possibilities of on-device AI processing.
  3. Stanford's NOIR project demonstrates how brain-scanning signals can be used to control robots for a variety of tasks, paving the way for a future where humans interact with robotic systems through brain commands.

The Age of Tinkering is Upon Us

A Biologist's Guide to Life • 13 implied HN points • 28 Jan 26
🕹 Technology Robotics
  1. AI tools can amplify and fill gaps in our abilities, acting like a cognitive hearing aid that boosts speed and skill when you learn to use them.
  2. Actively tinkering with AI—asking questions, building projects, and iterating—lets you learn new technical skills quickly and make real things you care about.
  3. Your human strengths—curiosity, compassion, imagination, and intuition—remain the real advantage, so collaborate with others and use AI proactively to create value rather than passively consuming it.

What to Watch in Robotics

Startup Pirate by Alex Alexakis • 176 implied HN points • 09 Feb 24
🕹 Technology Robotics
  1. Robotics is advancing rapidly, from cooking shrimp to automating tasks like folding laundry and making coffee.
  2. General Robotic Intelligence (GRI) is still missing, but platforms are being developed to enable robots to perform complex tasks in dynamic environments.
  3. Companies are working to make robotics accessible to small and medium-sized businesses, enabling them to automate tasks and stay competitive.

Import AI 345: Facebook uses AI to mindread; MuJoCo v3; Amazon adds bipedal robots to its warehouses

Import AI • 339 implied HN points • 23 Oct 23
🕹 Technology Robotics
  1. Facebook has developed an AI system that uses brain scan data to roughly predict visual representations, demonstrating convergence between AI and human behavior.
  2. Amazon is testing bipedal robots in its warehouses, potentially streamlining the integration of robots into human-centric environments.
  3. Adept released Fuyu-8B, a multimodal model to help AI systems understand and interact with visual elements, expanding the range of tasks AI systems can perform beyond text.
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Biology and the evolution of AI tools

A Biologist's Guide to Life • 16 implied HN points • 17 Jan 26
🕹 Technology Robotics
  1. Major technological shifts mirror biological evolution: replication and innovation create new forms and disruptive functions that reshape systems over time.
  2. AI is a major economic transition driven by internet-scale data and modern neural networks, automating many digital tasks; its future will be shaped by competition for compute and users, technical advances like model compression, and cultural and legal responses.
  3. Individuals can adapt by learning to use AI as a practical sidekick to upskill and build new things, while being careful not to share sensitive information.

What the F*AI*K is happening?

Robots & Startups • 99 implied HN points • 08 Apr 24
🕹 Technology Robotics
  1. Robots utilizing AI can make a positive impact in the physical world by addressing real-world problems and global challenges.
  2. Unleashed AI can lead to misinformation and unreliable data, which poses a significant threat if not controlled.
  3. The proliferation of fake robot videos can create skepticism and hinder the credibility of real robotic advancements.

Import AI 325: Automated mad science; AI vs democracy; and a 12B parameter language model

Import AI • 419 implied HN points • 17 Apr 23
🕹 Technology Robotics
  1. Prompt injection could be a major security risk in AI systems, making them vulnerable to unintended actions and compromising user privacy.
  2. The concentration of AI development in private companies poses a threat to democracy, as these language models encode the normative intentions of their creators without democratic oversight.
  3. The rapid race to build 'god-like AI' in the private sector is raising concerns about the lack of understanding and oversight, with experts warning about potential dangers to humanity.

Wizard of Oz and The Tin Men

Robots & Startups • 179 implied HN points • 21 Jan 24
🕹 Technology Robotics
  1. Robotics can have 'dirty secrets' that are important to uncover and understand.
  2. The Astrobotic's Peregrine Lunar Lander incident serves as a reminder of the risks and challenges in space exploration.
  3. Subscribe to Robots & Startups for more insights and to access full post archives.

Amadee-24 Chronicles: Mars on Earth - How Do We Prepare for a Mars Mission?

Space Ambition • 79 implied HN points • 26 Apr 24
🔬 Science Robotics
  1. Analog missions help us practice for going to Mars by simulating life on other planets. These missions are done on Earth to learn about the challenges astronauts might face.
  2. Communication on missions to Mars is tricky because it takes about 10 minutes for messages to travel. This makes astronauts more independent and affects their mental state during the journey.
  3. People can join analog missions to gain experience and be part of the preparation for Mars. These missions are exciting and beneficial for anyone interested in space exploration.

Data Science Weekly - Issue 506

Data Science Weekly Newsletter • 399 implied HN points • 04 Aug 23
🕹 Technology Robotics
  1. Integrating large language models into systems can be done using seven key patterns that balance performance and cost.
  2. Ethics in AI isn't just about explainability and fairness; we need a deeper understanding to prevent overall harm from AI systems.
  3. New approaches in robotics focus on current challenges and opportunities while advancing understanding of AI's role in planning tasks.

Correct vs Good

General Robots • 383 implied HN points • 11 Feb 25
🕹 Technology Robotics
  1. Being correct means having a product that works as intended—it's stable, bug-free, and meets specifications. However, it can be very costly to reach near-perfect correctness.
  2. Being good is about providing value and meeting customer needs. There's no limit to how good a product can become, and making something better is always beneficial.
  3. To improve a product, it's essential to iterate quickly based on real customer feedback. This helps in learning what features work best and keeps development moving efficiently.

Weekly Dose of Optimism #152

Not Boring by Packy McCormick • 157 implied HN points • 11 Jul 25
🕹 Technology Robotics
  1. A company called Rainmaker is trying to make it rain through technology. However, they face a lot of backlash from people who blame them for natural disasters like flooding, even when science shows they aren't responsible.
  2. Peter Jackson, the director of 'Lord of the Rings,' is investing $15 million to bring back the moa, a giant bird that went extinct 600 years ago. It's exciting to see famous figures support scientific projects, even if they seem a bit out there.
  3. A robot recently performed surgery on a model without human guidance, adapting in real time. This could change how surgeries are done in the future, making them safer and potentially less expensive.

Import AI 328: Cheaper StableDiffusion; sim2soccer; AI refinement

Import AI • 339 implied HN points • 08 May 23
🕹 Technology Robotics
  1. Training image models can be cheaper with smart tweaks like Low Precision GroupNorm and Low Precision LayerNorm. Companies like Mosaic are leading the way in AI industrialization.
  2. Prominent AI researcher Geoff Hinton has expressed concerns about the rapid progress and control of advanced AI models. His departure from Google highlights the growing worries in the field.
  3. New companies like Lamini are offering services to fine-tune existing AI models, indicating further industrialization of AI. Startups like these are bridging the gap between AI products and consumers.

Welcome to Yokohama and ICRA 2024!

Robots & Startups • 59 implied HN points • 12 May 24
🕹 Technology Robotics
  1. The average technical recruiter is young, and studies suggest they may favor younger job candidates over older ones.
  2. ICRA 2024 in Yokohama is a large event with over 5000 roboticists and 120+ robotics companies showcasing quadruped and humanoid robots.
  3. Academic robotics conferences like ICRA feature a variety of activities beyond paper presentations, including robotics competitions, industry exhibitions, career fairs, debates, and more.

Startup deadlines, RoboGames and ride-on robots!

Robots & Startups • 79 implied HN points • 16 Apr 24
🕹 Technology Robotics
  1. Robotic standards are crucial for ensuring safety, with variations based on industrial and non-industrial settings.
  2. Exciting advancements in robotics technology are driving funding growth and opportunities for startups in the industry.
  3. Upcoming robotics events offer a diverse range of opportunities to witness cutting-edge technologies and engage with the robotics community.

⤴⤵ Up Wing/Down Wing #27

Faster, Please! • 456 implied HN points • 07 Dec 24
🕹 Technology Robotics
  1. AI is changing research and development by making it faster and cheaper. It helps in designing products quickly and may even improve their performance significantly.
  2. Neuralink is working on a new study that allows people to control robotic arms using only their thoughts. This could really help those who have disabilities.
  3. A startup called Kairos Power is building safer nuclear reactors that use molten salt instead of water. This new technology aims to provide clean energy by 2030.

🚀 Missions to Mars: A Quick Q&A with … space analyst Peter Hague

Faster, Please! • 456 implied HN points • 03 Dec 24
🔬 Science Robotics
  1. Building a base on Mars is the top priority, as it helps reduce reliance on supplies from Earth. Even though it won't be completely self-sustaining at first, a solid base can support more people and activities.
  2. Many challenges of space travel, like cosmic radiation and machinery reliability, can be managed by sending more mass into space. Adding extra weight can often solve significant issues that seem daunting at first.
  3. Having enough supplies and materials is key to making Mars colonization easier. The more resources we have, the better we can tackle various tasks and ensure a successful mission.

✨🤖 Elon Musk's true economic vision was on display at 'We, Robot'

Faster, Please! • 548 implied HN points • 11 Oct 24
🕹 Technology Robotics
  1. Elon Musk believes in combining technology, clean energy, and business to create a better future. He thinks this approach can lead to more abundance instead of scarcity.
  2. At the recent 'We, Robot' event, Tesla revealed its first fully autonomous vehicle, the Cybercab, showcasing a shift towards robotics and AI.
  3. Musk is optimistic that robots and self-driving cars could greatly increase Tesla's value, projecting it might reach $30 trillion in the future.

The Real Significance of the new AI

In My Tribe • 425 implied HN points • 04 Dec 24
🕹 Technology Robotics
  1. New AI tools let us talk to computers like we talk to people. This makes using technology easier and more natural.
  2. With these advances, we may soon use smart wearables like glasses and watches with natural language rather than buttons.
  3. The new AI also opens up possibilities for better interactions with robots, making them simpler to train and use.

The Sequence Knowledge # 780: Synthetic Data for Image Models

TheSequence • 21 implied HN points • 30 Dec 25
🕹 Technology Robotics
  1. Synthetic image data is now a core tool for vision models and works especially well when real images are scarce, private, or unbalanced by providing labeled pixels and covering rare edge cases.
  2. Modern generative models (diffusion models, GANs) combined with conditional controls like segmentation, depth, keypoints, ControlNet, or LoRA let you steer layout, pose, lighting, and style; typical pipelines script prompts, generate images, and auto-label using the same controls.
  3. Success depends on choosing the right generator and control signals and running a rigorous quality-control loop so synthetic variety actually improves downstream performance, a pattern already used in systems like NVIDIA’s Synthetica for robot training.

The Sequence Opinion #687: The Gemini Effect: Transforming Robotics with Multimodal Foundation Models

TheSequence • 140 implied HN points • 17 Jul 25
🕹 Technology Robotics
  1. Robotics is changing because of new AI models called transformers. These models help robots understand language and perform tasks without needing special programming for each job.
  2. Gemini Robotics, a new technology from Google DeepMind, combines powerful AI with robotics. This allows robots to learn and adapt to different tasks more easily than ever before.
  3. There's a big debate about whether large or small AI models are better for robotics. The article dives into this topic and discusses how these models can help robots in many ways.

🚀🌑 America finally returns to the Moon

Faster, Please! • 1005 implied HN points • 24 Feb 24
🔬 Science Robotics
  1. America's return to the Moon was achieved by a private company, Intuitive Machines, marking a significant milestone since Apollo 17 in 1972.
  2. Despite landing challenges, NASA's Commercial Lunar Payload Services initiative with private companies like Intuitive Machines shows promise for the future of lunar missions.
  3. The possibility of NASA partnering with private companies for lunar missions can lead to cost-effective space travel and accelerated technological advancements similar to those depicted in sci-fi series like For All Mankind.

Humanoid Robots: China’s Grind Toward Embodied Intelligence

ChinaTalk • 400 implied HN points • 16 Dec 24
🕹 Technology Robotics
  1. China aims to become a top producer of humanoid robots by 2027, planning to use them in various industries like manufacturing and services. This is partly because they face labor shortages and believe humanoids can do many tough jobs.
  2. Humanoid robots need advanced technology in hardware and AI to work well. This includes making them mimic human movements and learning from real-world experiences, which is still a big challenge.
  3. The automotive industry could be key for testing and improving humanoid robots. Car factories have structured environments that help robots learn new tasks safely while addressing labor shortages in that sector.

For Pete's sake, learn what a machine is.

Top Carbon Chauvinist • 19 implied HN points • 17 Jul 24
🕹 Technology Robotics
  1. A machine is made up of parts that do work by handling loads, like electricity or mechanics. It does not actually understand or think about what it does.
  2. When programming a machine, like a catapult, you're just adjusting physical elements, not teaching it to know or understand concepts like 'rock' or 'lever'.
  3. Living things are not machines because they aren't made of manufactured parts. They grow and evolve in ways that machines cannot.

Robotics startups vs other startups

Robots & Startups • 119 implied HN points • 11 Feb 24
🕹 Technology Robotics
  1. The number of venture-backed U.S. startups has significantly increased over the years, with a particularly notable growth in robotics startups.
  2. Compared to all startups, robotics startups have seen a much larger growth percentage, showcasing the significant expansion of the robotics industry.
  3. OpenAI's achievement of reaching $2B in revenue marks it as the fastest growing startup ever, demonstrating the potential for success in the robotics field.

The Sequence Knwoledge #776: Fake It 'Til You Make It: How RL is Perfecting Synthetic Data.

TheSequence • 21 implied HN points • 23 Dec 25
🕹 Technology Robotics
  1. Reinforcement learning environments can manufacture synthetic data by letting agents interact with simulators or APIs, producing richly labeled trajectories of states, actions, rewards, failures, and recoveries.
  2. This method is especially valuable when real data is scarce or privacy-restricted, and it shines in domains with verifiable outcomes like coding sandboxes, web automation, spreadsheets/SQL, and robotics-in-sim.
  3. Executing tasks to generate data (instead of just describing answers) gives models supervision on how to act and recover, and techniques like Reflexion can use those RL-generated trajectories to iteratively improve agents.

Xenobots: Self-Replicating Biobots

Solve Cancer in 365 days • 2 HN points • 14 Sep 24
🔬 Science Robotics
  1. Xenobots are made from frog cells and can swim, heal, and move in groups. They are different from regular robots because they are living organisms created by scientists.
  2. Researchers design Xenobots by separating skin and heart cells and using computer algorithms to find the best ways to make them move. This combines biology with engineering.
  3. Xenobots can self-replicate by using loose stem cells to create new Xenobots. They could help with pollution cleanup and even serve purposes in medicine, like repairing organs.

If AGI Means Everything People Do... What is it That People Do?

Am I Stronger Yet? • 250 implied HN points • 27 Feb 25
🕹 Technology Robotics
  1. There's a big gap between what AIs can do in tests and what they can do in real life. It shows we need to understand the full range of human tasks before predicting AI's future capabilities.
  2. AIs currently struggle with complex tasks like planning, judgment, and creativity. These areas need improvement before they can replace humans in many jobs.
  3. To really know how far AIs can go, we need to focus on the skills they lack and find better ways to measure those abilities. This will help us understand AI's potential.

The Red Frontier: Mars Rovers' Legacy, Opportunities, and Expert Predictions from the Pioneers of Martian Ventures

Space Ambition • 219 implied HN points • 11 Aug 23
🔬 Science Robotics
  1. Mars rovers are our main way to explore the planet since humans can't go there yet. These robots gather important information that helps us understand Mars better.
  2. There have been several successful Mars missions, but only a few rovers are still active today. Each rover has contributed to discovering water signs and preparing for future human visits.
  3. The future of Mars exploration involves collaboration between robots and humans. Robots will help pave the way for future missions, while humans will bring creativity and problem-solving skills to the table.

Some interesting new robots just announced!

Robots & Startups • 79 implied HN points • 09 Mar 24
🕹 Technology Robotics
  1. AI learning starting with text may be going backwards for language development, particularly for speech and social interaction.
  2. Human-robot interactions often differ from our collective fantasies, with instances of people mistreating robots in public like playing 'kick the robot dog' or interfering with autonomous cars.
  3. Robots posing as scooters in public encounters negative behaviors due to lack of proper treatment and consideration towards the technology.

YC, Alchemist, Gitex want robot startups!

Robots & Startups • 59 implied HN points • 01 Apr 24
💼 Business Robotics
  1. Y Combinator, Alchemist, and Gitex are seeking robot startups for various programs and events.
  2. Startup accelerator programs like Alchemist Accelerator have specific criteria for founders and offer opportunities for nominations and fast-tracked interviews.
  3. There are numerous deadlines for startup calls in diverse fields like mobility, med devices, and deep tech, along with events like the Gitex Global in Dubai.

The Sequence Opinion #758: From Language to Landscape: The Age of Spatially Intelligent AI

TheSequence • 28 implied HN points • 20 Nov 25
🕹 Technology Robotics
  1. AI is currently good at understanding language and images, but it struggles to understand the three-dimensional world. Researchers believe teaching AI spatial intelligence is the next big step.
  2. World models help AI imagine and interact with virtual environments. They can simulate how different actions change these spaces, making learning more interactive and realistic.
  3. There are exciting projects working on these technologies, like Marble and Genie. However, there are still challenges to overcome, like making sure these models work in real-life situations.

The Sequence AI of the Week #757: 3D World Models in Action: Inside DeepMind’s SIMA 2 Architecture

TheSequence • 28 implied HN points • 19 Nov 25
🕹 Technology Robotics
  1. DeepMind's SIMA 2 can create and interact with 3D environments, making it a big step for AI in gaming. It's like giving a computer the ability to play and learn just like humans do.
  2. This AI uses a smart mix of different models to see, think, and act in these virtual worlds, similar to how people play games. It helps the AI improve itself by practicing and trying out different tasks.
  3. SIMA 2 shows how we can build complex AI systems that work together, rather than developing them one piece at a time. This could change how we design future AI technologies.

The robotics company working with OpenAI to eat every warehouse worker's lunch

All-Source Intelligence Fusion • 651 implied HN points • 05 Mar 24
🕹 Technology Robotics
  1. Brett Adcock's humanoid robot company aims to replace human workers in warehouses with subscription-based robots that can work 20 hours a day, 7 days a week.
  2. Figure AI collaborates with OpenAI to combine robotics and AI, aiming to create 'embodied AI' by leveraging OpenAI's strengths in language models and Figure's expertise in robotics.
  3. Adcock positions Figure AI to compete with Elon Musk's humanoid robotics effort 'Optimus' and dismisses other competitors due to limitations in hardware or software capabilities.

The Sequence Opinion #682: The Boundary of Autonomy: When AI Can Go Solo

TheSequence • 98 implied HN points • 10 Jul 25
🕹 Technology Robotics
  1. Autonomous AI can make decisions without humans, but it still has big challenges to overcome. Balancing smart algorithms with real-world chaos is tough.
  2. There are certain areas where using autonomous AI might be more effective than others. These domains might be really suited for AI to take charge.
  3. The development of effective autonomy in AI is something researchers are actively exploring. It's an exciting topic that can change how we use technology.