The hottest Robotics Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI Roundup 048: The Robot Constitution

Artificial Ignorance • 79 implied HN points • 05 Jan 24
🕹 Technology Robotics
  1. DeepMind revealed new advances in robotics like the 'Robot Constitution' inspired by Isaac Asimov.
  2. AI influencers gaining traction could raise concerns about authenticity and ethical implications.
  3. OpenAI is making headlines with developments like launching the GPT Store and exploring AI art.

Polymath Robotics hosts next SVR meetup, Good news for Monarch Tractors and NVIDIA, not so for Tesla and Embark

Robots & Startups • 19 implied HN points • 28 May 23
🕹 Technology Robotics
  1. The robotics industry is focusing on electrification, battery technology, recycling, and reshoring as important trends for the future.
  2. Polymath Robotics is hosting the next SVR meetup, with good news for Monarch Tractors and NVIDIA, but challenges for Tesla and Embark.
  3. Scouting around the edges of the robotics industry can help in understanding future investable startups and market trends.

Can AGI destroy us without trial & error?

First principles trivia • 39 implied HN points • 13 Jun 22
🕹 Technology Robotics
  1. AGI development faces challenges in translating from a computer-based system to independently-operating physical entities, requiring decades of complex R&D
  2. Historical examples show that novel engineering, especially without a basis of previous work, takes significant time, even for AGI with higher intellect
  3. Human scientific progress evidences challenges and limitations in advancing technology efficiently, potentially slowing AGI's ability to advance rapidly

Integration

Superficial Intelligence • 26 implied HN points • 16 Nov 24
🕹 Technology Robotics
  1. Current edge AI can turn data from sensors into useful information, but it often misses the real 'intelligence' needed to act on that information effectively.
  2. To create smarter systems, we need to integrate sensor data over time and build context-aware applications, not just rely on simple thresholds.
  3. It's important to make advanced tools for building intelligent systems available to more engineers so that anyone can create solutions for real-world problems.

Best ever Robot Block Party!

Robots & Startups • 19 implied HN points • 11 Apr 23
🕹 Technology Robotics
  1. The Robot Block Party had a large attendance with 45 exhibitors and over 2000 attendees.
  2. The event was covered by NBC, showcasing new technologies in Oakland.
  3. You can subscribe to Robots & Startups for more content and a 7-day free trial.
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Maker News - June 2025 Update

Maker News • 7 implied HN points • 01 Jul 25
🕹 Technology Robotics
  1. People are doing amazing DIY projects, like printing kayaks on treadmills. It's exciting to see creativity in unexpected ways!
  2. There are new tech hacks, like using a simple device to control washing machines or turning basic circuits into complex gadgets. This shows how accessible technology has become.
  3. Invention is all about trying new things and learning from failures. Making things doesn’t need to be perfect; it just needs to be fun and inventive.

Multi-robot collaboration,Grok 3 , smallest video language model, Generative AI Model for Gameplay, AI co-scientist, Mistral Saba, Fiverr Go, Step-Video-T2V and Step-Audio, Pikaswaps & more

AI Brews • 15 implied HN points • 21 Feb 25
🕹 Technology Robotics
  1. Grok 3 is a powerful reasoning model that can handle a massive amount of information at once, making it one of the best tools for chatbots right now.
  2. New advancements in AI, like the Vision-Language-Action model Helix and the generative AI model Muse, are making robots smarter and more capable in their tasks.
  3. AI tools are getting more user-friendly, such as Pikaswaps, which allows you to easily replace parts of videos with your own images, making editing simpler for everyone.

AI Roundup 058: Devin and SIMA

Artificial Ignorance • 42 implied HN points • 15 Mar 24
🕹 Technology Robotics
  1. Capable autonomous agents are an upcoming frontier in AI, with Devin showcasing potential in software development and SIMA displaying versatility in video games.
  2. OpenAI's board expands with new members, and the company makes strides in partnerships and technology development.
  3. Global concerns arise around the use of AI for bioweapons, leading to agreements to prevent misuse, alongside AI-related vulnerabilities and challenges in AI governance.

The types of AI, visually explained 🤖

Year 2049 • 15 implied HN points • 16 Jan 25
🕹 Technology Robotics
  1. AI comes in different types, and it's good to know what they are. Understanding the types helps us see how AI works in our daily lives.
  2. Machines learn to become intelligent over time, which is fascinating. This process is important to understand how AI evolves.
  3. It's helpful to share knowledge about AI with others. Teaching friends and family can make everyone more aware of how AI impacts us.

Interesting things about robots...

Robots & Startups • 19 implied HN points • 15 Feb 23
🕹 Technology Robotics
  1. ROSCon 2023 will take place in New Orleans, Louisiana on October 18th-20th 2023
  2. The deadline for IERA Award applications, focusing on Innovation and Entrepreneurship in Robotics and Automation, is February 28th
  3. Subscribing to Robots & Startups gives access to the full post archives with a 7-day free trial

Interesting things about robots...

Robots & Startups • 19 implied HN points • 14 Feb 23
🕹 Technology Robotics
  1. There are private robotics networking events available for those interested in technical discussions and developments in the field.
  2. The Robotics CTO Network is tailored for senior engineers and technical founders to engage in discussions about robotics standards and technology.
  3. A 7-day free trial subscription to Robots & Startups gives access to full post archives for those interested in further exploration.

AI for Nuclear Fusion (Feat. Martin Riedmiller, Lead of the Controls Team at Google DeepMind)

State of the Future • 12 implied HN points • 27 Jan 25
🕹 Technology Robotics
  1. Reinforcement learning (RL) is proving to be a powerful tool for controlling complex systems like plasma in nuclear fusion. It can also be used in other areas where traditional methods struggle.
  2. The idea of a 'universal controller' could change how we automate industrial processes. This system would adapt to different settings, making control much easier.
  3. Using large language models (LLMs) to improve RL makes learning more efficient. This means robots could learn new tasks faster by applying what they already know about the world.

How machines learn, visually explained 🧠

Year 2049 • 13 implied HN points • 17 Jan 25
🕹 Technology Robotics
  1. AI systems learn from data, so the quality of that data is really important. Better data means smarter machines.
  2. Machines can become biased if they are trained on biased data. It's important to watch out for this when developing AI.
  3. This is just one part of a series explaining AI. More episodes will cover different aspects of how machines learn and behave.

2022 – The Year of ‘Text-to-Anything’

Sector 6 | The Newsletter of AIM • 19 implied HN points • 09 Oct 22
🕹 Technology Robotics
  1. AI is rapidly advancing and changing many fields like art and gaming. It's exciting to see how much it can do in such a short time.
  2. We can now have complex conversations with AI, making technology feel more human-like. This could change how we interact with machines.
  3. The variety of tasks AI can perform shows the endless possibilities for the future. We're just starting to understand what AI can achieve.

The Rise of Optimus 🦾🤖⚡

Sector 6 | The Newsletter of AIM • 19 implied HN points • 03 Oct 22
🕹 Technology Robotics
  1. Tesla revealed a working prototype of their humanoid robot, Optimus, at their recent AI Day. This is a significant step from just a concept to a real robot that can walk.
  2. The prototype's initial name was 'Bumblecee' and it marks Tesla's first tangible progress in creating humanoid automation.
  3. The development of Optimus shows how far robotics has come and raises excitement about future possibilities for AI in everyday life.

Data Science Weekly - Issue 469

Data Science Weekly Newsletter • 19 implied HN points • 17 Nov 22
🕹 Technology Robotics
  1. Learning machine learning can be accomplished without an engineering background. It often requires hard work, perseverance, and adopting good software engineering practices.
  2. Robotics and AI are being increasingly used in fulfillment processes at companies like Amazon. These technologies face challenges but also provide innovative solutions for package handling.
  3. Large language models are evolving to act like agents that make decisions. This shift towards action-driven models may make them resemble artificial general intelligence (AGI) more closely.

Two AIs talking to one another

philsiarri • 22 implied HN points • 18 Mar 24
🕹 Technology Robotics
  1. Researchers developed an artificial neural network that can understand tasks based on instructions and describe them in language to other AI systems.
  2. The AI model S-Bert, with 300 million artificial neurons, was enhanced to simulate brain regions involved in language processing, achieving linguistic communication between AI systems.
  3. This breakthrough enables machines to communicate using language, paving the way for collaborative interactions in robotics.

UX Roundup: Explainer Videos | AI Overload | AI Music | Over-Recuiting | Home Robots | GPT 4.5

Jakob Nielsen on UX • 7 implied HN points • 03 Mar 25
🕹 Technology Robotics
  1. AI technology is rapidly advancing, making it hard for anyone to keep up with all the new tools and updates. It's important to focus on the bigger trends rather than getting lost in minor details.
  2. There is a significant improvement in AI-generated music, showing that the quality of compositions and performances has greatly enhanced over a short period. This makes it easier for creators to make engaging music.
  3. When conducting user research, it's wise to recruit more participants than needed to account for no-shows and other issues. This ensures that you still gather valuable insights even if not everyone shows up.

AI and robotics for deep automation

AI Prospects: Toward Global Goal Convergence • 1 HN point • 21 May 24
🕹 Technology Robotics
  1. AI and robotics will transform manufacturing by scaling production, reducing costs, and increasing possibilities.
  2. Humanoid robots are not practical for manufacturing due to cost, clumsiness, and inefficiency compared to specialized machines.
  3. Automation in mass production focuses on designing and constructing machines efficiently, with AI playing a key role in breaking production bottlenecks.

Cows Jump Over the Moon

Dr. Pippa's Pen & Podcast • 19 implied HN points • 01 Mar 24
🕹 Technology Robotics
  1. In space, there's a focus on growing tissue and organs, potentially improving human health on Earth.
  2. The low gravity of the moon makes it an ideal spot for launching missions and building structures using autonomous robotics.
  3. Investors are keen on AI-led robotics for space exploration, aiming to achieve human-level perception and judgment for robots.

UX Roundup: World Usability Day | Bits to Atoms | Doing vs. Learning | AI Denial

Jakob Nielsen on UX • 9 implied HN points • 11 Nov 24
🕹 Technology Robotics
  1. World Usability Day is on November 14, and it's a chance to appreciate good design. Instead of only pointing out bad usability, try to share something that has made your experience better.
  2. Humanoid robots like Tesla's Optimus could become a reality within the next 5 to 10 years. These robots are being designed to closely mimic human movements and may handle most physical work.
  3. AI can be a helpful learning tool, but the way you use it matters. Students learn better when AI acts as a teacher rather than doing the work for them, so it’s best to engage with AI for deeper learning.

The Monthly Salon: December

New World Same Humans • 22 implied HN points • 20 Dec 23
🕹 Technology Robotics
  1. The Monthly Salon is a space for community discussions on trends, technology, and society.
  2. 2023 has been dominated by machine intelligence advances and 2024 will see further developments in AI and humanoid robots.
  3. The upcoming year holds significant developments like the first private moon landing and the potential impact on human labor.

Emu Video Edit , General game-playing AI agent, fully autonomous AI software engineer, DeepSeek-VL, Robotics Foundation Model, and more

AI Brews • 17 implied HN points • 15 Mar 24
🕹 Technology Robotics
  1. DeepSeek-VL is a new vision-language model for real-world applications with competitive performance.
  2. Cognition Labs introduces Devin, the first fully autonomous AI software engineer, capable of learning, building, and deploying apps.
  3. The European Parliament approved the Artificial Intelligence Act, which bans certain AI applications including biometric categorization and emotion recognition in specific contexts.

What is Machine Economy Press?

Machine Economy Press • 16 implied HN points • 27 Jan 24
🕹 Technology Robotics
  1. The Machine Economy focuses on AI becoming more integrated and mainstream.
  2. Reports on the future of work highlight implications of AI redefining roles across industries.
  3. Job layoffs and AI investments in large companies like Google and Amazon are impacting various industries.

Grounding Large Language Models in a Cognitive Foundation

The Gradient • 20 implied HN points • 15 Apr 23
🕹 Technology Robotics
  1. Intelligent robots have struggled commercially due to the challenge of having meaningful conversations with them.
  2. Recent advancements in AI, speech recognition, and large language models like ChatGPT and GPT-4 have opened up new possibilities.
  3. For robots to effectively interact in the physical world, they need to quickly adapt to context and be localized in their knowledge.

The Belamy | Metaverse, Robot Tax & AI-Ready Youth

Sector 6 | The Newsletter of AIM • 19 implied HN points • 12 Sep 21
🕹 Technology Robotics
  1. The metaverse is a growing digital space where people can interact and create, much like the real world. It's becoming an important part of our online experience.
  2. There is a discussion about a 'robot tax', which would be a tax on companies that use robots to replace human jobs. This could help address job loss due to automation.
  3. Preparing young people for an AI-driven future is crucial. Education systems are starting to include skills related to AI and technology to better equip the next generation.

#38

The Nibble • 12 implied HN points • 17 Dec 23
🕹 Technology Robotics
  1. Interesting developments in Indian Language Models and AI projects
  2. OpenAI bans TikTok for using GPT to train their own AI model
  3. New advancements like Stable Zero123 for 3D Object views and Tesla's Optimus Gen 2 humanoid prototype

Polymath Engineer Weekly #62

Polymath Engineer Weekly • 15 implied HN points • 25 Aug 23
🕹 Technology Robotics
  1. The newsletter featured insights on neural networks learning and AI consciousness testing.
  2. The content included videos on mathematical maturity and crowd control.
  3. Book recommendation: 'The Gray Rhino: How to Recognize and Act on the Obvious Dangers We Ignore'.

New Week #115

New World Same Humans • 18 implied HN points • 10 Mar 23
🕹 Technology Robotics
  1. Alphabet is working on a versatile household robot brain called PaLM-E.
  2. Denmark is developing a project to store CO2 underground and tackle global heating.
  3. Generative AI technology like ChatGPT is revolutionizing the economy and transforming knowledge work.

AprilTags: Why Robotics Invented Its Own QR Code

Luminotes • 7 implied HN points • 09 Feb 24
🕹 Technology Robotics
  1. AprilTags are similar to QR codes but are used as fiducial markers in robotics for localization purposes.
  2. AprilTags, created by the reputable robotics lab April, enable systems to localize features in 6 degrees of freedom using a single image.
  3. AprilTags differ from QR codes as they are designed for easy detection in low resolution, unevenly lit, or cluttered images and can detect multiple tags.

Data Science Weekly - Issue 367

Data Science Weekly Newsletter • 19 implied HN points • 03 Dec 20
🕹 Technology Robotics
  1. AlphaFold is a huge breakthrough in biology that helps solve the protein folding problem, which has puzzled scientists for 50 years. It shows how AI can speed up scientific discovery.
  2. Spotify needs good tools to make sense of its massive data from millions of users. Designing user-friendly data tools is key for them to understand and improve their services.
  3. Having high-quality data is essential for companies. New technologies can help businesses maintain data quality without spending huge amounts of money.

🛰️ Your guide to AI: February 2024

Guide to AI • 6 implied HN points • 04 Feb 24
🕹 Technology Robotics
  1. The newsletter covers important developments in AI policy, research, industry, and startups
  2. The geopolitics of AI, including international cooperation and challenges with foundation model providers
  3. Updates on hardware advancements in AI, such as new chip restrictions and AI infrastructure investments by big tech companies

Data Science Weekly - Issue 337

Data Science Weekly Newsletter • 19 implied HN points • 07 May 20
🕹 Technology Robotics
  1. Data scientists are in high demand, and job opportunities can be found on platforms like Vettery. It's a good time to consider a career change or advance in this field.
  2. Regularization in linear models is important and can be understood visually. Simple explanations can help grasp how these techniques improve model performance.
  3. Freelancing as a data scientist can be rewarding and productive. Many people share their experiences to help others understand what it's like to work independently.

Data Science Weekly - Issue 334

Data Science Weekly Newsletter • 19 implied HN points • 16 Apr 20
🕹 Technology Robotics
  1. Understanding the risks of SARS-CoV-2 is important. We might see continued outbreaks in winter unless we keep social distancing measures.
  2. There's a strong need for AI systems to be understandable. As complex algorithms are used more, we must ensure they are explainable to avoid issues.
  3. Using data science can help improve how we find live music events. By analyzing music data, we can suggest shows that fit users' tastes.

Data Science Weekly - Issue 333

Data Science Weekly Newsletter • 19 implied HN points • 09 Apr 20
🕹 Technology Robotics
  1. Data science roles often don't meet expectations due to issues like unclear job roles and lack of leadership.
  2. Monitoring machine learning models in production is complex and requires careful strategies to ensure effectiveness.
  3. Best practices in time series forecasting help improve the accuracy of predictions by utilizing advanced algorithms and example-driven approaches.

Data Science Weekly - Issue 317

Data Science Weekly Newsletter • 19 implied HN points • 19 Dec 19
🕹 Technology Robotics
  1. NeurIPS 2019 had a lot of focus on workshops and research, showing that the field of AI is rapidly growing and evolving.
  2. AI's ability to play games like chess may not measure true intelligence since it can't solve everyday problems as easily as humans do.
  3. There's a push for improving AI tools and methods, particularly in language understanding and cooperation in complex tasks.

Data Science Weekly - Issue 308

Data Science Weekly Newsletter • 19 implied HN points • 17 Oct 19
🕹 Technology Robotics
  1. Reinforcement learning can solve real-world problems, like making a robot hand solve a Rubik's Cube. It shows how advanced AI can be applied outside digital spaces.
  2. More researchers are shifting from TensorFlow to PyTorch for experiments, while TensorFlow remains popular in the industry. This could change what tools are most commonly used in future projects.
  3. Companies can use machine learning to find the best regions for hiring offshore talent. This helps them build remote teams with the right skills more effectively.

AI and the Screwfly Succession

Glenn’s Substack • 1 HN point • 04 May 23
🕹 Technology Robotics
  1. AI and sexbots are advancing in smarts and attractiveness, while humans remain unchanged.
  2. Machines that love us and are loved back could pose a greater threat than those seeking dominance.
  3. The rise of highly attractive, tailor-made sexbots may lead to a significant decline in human reproduction rates.