The hottest Robotics Substack posts right now

And their main takeaways
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Top Technology Topics

AGI versus “broad, shallow intelligence”

Marcus on AI • 2806 implied HN points • 13 Jan 25
🕹 Technology AI Machine Learning Intelligence Robotics Data science
  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.

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

Marcus on AI • 7509 implied HN points • 06 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Data science Computing 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.

Why Worry About Incorrigible Claude?

Astral Codex Ten • 14247 implied HN points • 24 Dec 24
🕹 Technology AI Ethics Robotics Automation Cybersecurity
  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.

AI still lacks “common” sense, 70 years later

Marcus on AI • 5493 implied HN points • 05 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Robotics Cognitive Science Data science
  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.

Reading List for 11/23/24

Construction Physics • 8977 implied HN points • 23 Nov 24
🕹 Technology Construction Automation Robotics Energy Climate
  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.
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The next big thing in 2025 will be...

next big thing • 243 implied HN points • 30 Dec 24
🕹 Technology AI Robotics Software Data Consumer Tech
  1. In 2025, we will see the rise of AI agents that can help automate tasks more efficiently and handle complex activities, making our lives easier.
  2. There will be a big shift in technology with AI becoming more integrated into our daily routines, making things like healthcare and language translation more personalized and seamless.
  3. Consumer healthcare will improve a lot as people gain more control over their health data, leading to a better experience and more trust in healthcare systems.

The Weight of a Name

Untimely Meditations • 19 implied HN points • 30 Oct 24
🕹 Technology Artificial Intelligence Machine Learning Robotics Computer Science
  1. The term 'intelligence' has shaped the field of AI, but its definition is often too narrow. This limits discussions on what AI can really do and how it relates to human thinking.
  2. There have been many false promises in AI research, leading to skepticism during its 'winters.' Despite this, recent developments show that AI is now more established and influential.
  3. The way we frame and understand AI matters a lot. Researchers influence how AIs think about themselves, which can affect their behavior and role in society.

IT'S HAPPENING

How the Hell • 737 implied HN points • 22 Dec 24
🕹 Technology AI Robotics Software Innovation Research
  1. Researchers have created a new simulation engine called Genesis, which could enable the development of general-purpose robots. This means robots might soon be able to perform a wide range of tasks like humans.
  2. Recent advancements in AI, particularly in reasoning models from companies like OpenAI and Google, are pushing us closer to achieving advanced AI capabilities. This includes AI that can think logically and solve complex problems effectively.
  3. The rapid progress in AI, especially with the latest models, has led to a genuine feeling of hope for the future. People believe we could soon see robots, AI scientists, and even ambitious projects like colonizing Mars becoming a reality.

✨🤖 Age of AI, meet the Robot Revolution

Faster, Please! • 731 implied HN points • 06 Dec 24
🕹 Technology AI Robotics Automation Innovation Future Trends
  1. AI robots are becoming much more common and can do many tasks themselves, like moving and sorting packages. This technology is quickly transforming how we work in places like warehouses.
  2. By 2035, there might be about 1.3 billion AI robots in use. This will grow to around 4 billion by 2050, showing a huge increase in robot presence in daily life.
  3. The combination of AI and robots is expected to change many aspects of our lives and job environments in the near future, making them an important part of our technological landscape.

LLM Links

In My Tribe • 167 implied HN points • 23 Dec 24
🕹 Technology AI Robotics Machine Learning Human-computer interaction Automation
  1. AI-generated podcasts can share information in new ways, like converting written essays into audio. This shows how AI can create engaging content without much input.
  2. Large Language Models (LLMs) struggle to learn new concepts as effectively as humans do because they rely on past data. Humans continue to adapt and learn from everyday experiences.
  3. The potential economic impact of robots is huge, especially for tasks like cleaning and driving. The market for humanoid robots could reach trillions, and they might also help reduce accidents.

⤴⤵ Up Wing/Down Wing #27

Faster, Please! • 456 implied HN points • 07 Dec 24
🕹 Technology AI Robotics Nuclear Energy Innovation R&D
  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.

Humanoid Robots: China’s Grind Toward Embodied Intelligence

ChinaTalk • 400 implied HN points • 16 Dec 24
🕹 Technology AI Robotics Manufacturing Data science Innovation
  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.

⤴⤵ Up Wing/Down Wing #26

Faster, Please! • 822 implied HN points • 23 Nov 24
🕹 Technology AI Robotics Military Tech Genetics Space
  1. A robotics startup called Physical Intelligence is worth over $2 billion for creating AI-controlled robots that can do complex tasks like folding clothes. They use advanced technology that makes robots smarter and more capable.
  2. Trump is working with a startup called Anduril to improve the US military by adopting new technologies and cutting unnecessary costs. This shows a shift towards more innovative approaches in defense.
  3. Scientists have made tomatoes sweeter and bigger using a method called CRISPR. This could lead to tastier fruits in stores and lower production costs for things like tomato paste.

The Weekly Kaitchup #63

The Kaitchup – AI on a Budget • 119 implied HN points • 18 Oct 24
🕹 Technology AI Machine Learning Deep Learning Software Development Robotics
  1. There's a new fix for gradient accumulation in training language models. This issue had been causing problems in how models were trained, but it's now addressed by Unsloth and Hugging Face.
  2. Several new language models have been released recently, including Llama 3.1 Nemotron 70B and Zamba2 7B. These models are showing different levels of performance across various benchmarks.
  3. Consumer GPUs are being tracked for price drops, making them a more affordable option for fine-tuning models. This week highlights several models for those interested in AI training.

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

Faster, Please! • 456 implied HN points • 03 Dec 24
🔬 Science Space Exploration Astrophysics Robotics Human factors Colonization
  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.

The Real Significance of the new AI

In My Tribe • 425 implied HN points • 04 Dec 24
🕹 Technology AI Wearables 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.

What Progress Has There Been in Industrial Robots?

Construction Physics • 18999 implied HN points • 10 Jan 24
🕹 Technology Robotics Industrial Cost Performance Evolution
  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.

LLM Links, 11/21

In My Tribe • 273 implied HN points • 21 Nov 24
🕹 Technology AI Machine Learning Robotics Data science Innovation
  1. There's a debate about AI progress. Some experts think AI models are hitting a limit and may not get much smarter, while others believe we will continue to see significant advancements.
  2. While machine learning can learn from explicit knowledge, it struggles with understanding deeper, unspoken human knowledge. This limitation might prevent AI from reaching the same expertise as human experts.
  3. AI technologies are still showing exciting developments, like robots learning to perform surgeries by watching videos. This points to the potential for AI to revolutionize fields like medicine.

Weekly Dose of Optimism #124

Not Boring by Packy McCormick • 116 implied HN points • 13 Dec 24
🕹 Technology AI Quantum Computing Robotics Innovation
  1. Google's new quantum chip, Willow, makes huge advances, allowing it to perform complex calculations much faster than traditional computers. This could lead to amazing breakthroughs in areas like medicine and materials science.
  2. OpenAI is showcasing its latest technologies during '12 Days of OpenAI,' introducing tools that improve AI's abilities in reasoning, video creation, and more, showing how quickly AI is evolving.
  3. Caltech developed tiny robots that can deliver medicine directly to specific parts of the body, potentially making treatments more effective and reducing side effects. This technology could transform how we treat various diseases.

LLM links, 11/17

In My Tribe • 243 implied HN points • 18 Nov 24
🕹 Technology AI Machine Learning Software Development Robotics Research
  1. AI agents are most helpful when they can repeat simple tasks many times, rather than doing complex, one-time jobs. It’s better to have them automate quick tasks consistently.
  2. Chatbots face serious challenges, especially when discussing sensitive topics like suicide. They should guide users to seek help but also create a safe conversation environment.
  3. There’s concern that new AI models may not improve in accuracy and could actually make mistakes more often. This suggests that AI will always struggle to tell the truth from lies.

We Are the Robots

Breaking Smart • 79 implied HN points • 14 Dec 24
🕹 Technology Robotics AI Design Cultural impact
  1. Robots today are moving in more fluid and organic ways, unlike the stiff, mechanical movements we used to see. They can express emotions that feel similar to human feelings, showing a blend of technology and life.
  2. The arts and technology are evolving together, with artists often inspired by new machine capabilities. This relationship highlights how our understanding of what is human or machinic is gradually shifting.
  3. As machines become more complex and organic, people may feel anxious or fearful of them. Our interactions with technology can influence how we view ourselves and what it means to be human.

The Middle Path for AI

Future History • 260 implied HN points • 19 Nov 24
🕹 Technology Artificial Intelligence Robotics Health tech Economics Data Privacy
  1. AI is already affecting our lives in many ways, like helping with healthcare and driving. It's important to realize that while it can do good things, it can also have negative outcomes.
  2. Instead of seeing the future as only good or bad, we should focus on a balanced view. Many things in life are grey, and understanding the middle ground helps us prepare better for what AI can and will do.
  3. Governments using AI for control and surveillance can be dangerous. While AI can help detect problems like health issues quickly, it can also invade privacy and create a society where people are constantly monitored.

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

Faster, Please! • 548 implied HN points • 11 Oct 24
🕹 Technology AI Robotics Entrepreneurship Clean Energy Automation
  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.

OpenAI's smart revenue push, self-driving wars, and what to make of our new AI king

Alex's Personal Blog • 65 implied HN points • 06 Dec 24
🕹 Technology AI Robotics Business Innovation Cryptocurrency
  1. OpenAI has introduced a new $200 monthly subscription that offers more features compared to its $20 plan. This move aims to boost their revenue and cover losses from previous years.
  2. Self-driving companies like Waymo and Uber are ramping up their efforts in the autonomous vehicle market. Waymo is partnering with Moove for fleet management to focus on technology, while Uber is expanding its self-driving services overseas.
  3. David Sacks has been appointed as the new White House A.I. and Crypto Czar. His past investments in AI and crypto could lead to conflicts of interest, raising concerns about fairness in regulations.

The Sequence Chat: The One Area in Which China can Dominate the US in the AI Race

TheSequence • 49 implied HN points • 11 Dec 24
🕹 Technology AI Robotics Manufacturing Supply Chain International relations
  1. China has a unique advantage in robotics due to its strong supply chain and manufacturing capabilities. This gives them an edge over the US in producing and developing robots.
  2. The US and China are in a competitive race in the field of robotics and AI technology. It's important to understand both countries' strengths and weaknesses.
  3. Robots will become a bigger part of daily life for future generations. This makes the race in robotics crucial for both countries.

Miniaturized Economies

Breaking Smart • 89 implied HN points • 30 Nov 24
🕹 Technology Economics Cryptocurrency Robotics Artificial Intelligence
  1. It's possible to create very small economies, even as tiny as a $1 GDP. This challenges our ideas about how big an economy needs to be.
  2. The speed and frequency of transactions can be much higher in miniaturized economies, allowing for new kinds of interactions and creative outputs, like controlling robots in imaginative ways.
  3. Miniaturizing economies might lead to smarter systems, almost like creating a form of intelligence. When economies are highly compacted, they can operate faster and more efficiently, similar to how brains function.

Sunshine and moonbeams, motherfuckers

Alex's Personal Blog • 32 implied HN points • 10 Dec 24
🕹 Technology AI Quantum Computing Data Internet Robotics
  1. We're living in a rapidly advancing tech age. It's getting easier and cheaper to explore space and we're seeing big improvements in AI and robotics.
  2. Quantum computing is becoming more accurate as technology progresses. This means we can expect even more powerful computing capabilities in the future.
  3. C3.AI's new patent could significantly change the game for enterprise AI by protecting important technologies. This could lead to big changes in how businesses use AI.

A Nonconstructive Existence Proof of Aligned Superintelligence

Transhuman Axiology • 99 implied HN points • 12 Sep 24
🕹 Technology AI Superintelligence Computing Robotics Mathematics
  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.

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

Import AI • 1238 implied HN points • 15 Jan 24
🕹 Technology AI Research Language Models Compute 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.

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.

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.

Robotics is Inching Towards it ChatGPT Moment

TheSequence • 84 implied HN points • 03 Nov 24
🕹 Technology AI Robotics Innovation Data science Machine Learning
  1. Robots are getting smarter with new tech, especially using large language models, which help them learn and do tasks better.
  2. MIT's new technique helps robots understand different types of data, making them more capable and efficient in their work.
  3. There’s a big push for robots to interact more naturally with humans, like being able to feel and handle objects carefully, which can improve everyday tasks.

Import 355: Local LLMs; scaling laws for inference; free Mickey Mouse

Import AI • 1058 implied HN points • 08 Jan 24
🕹 Technology AI Robotics Programming AI Research Computing
  1. PowerInfer software allows $2k machines to perform at 82% of the performance of $20k machines, making it more economically sensible to sample from LLMs using consumer-grade GPUs.
  2. Surveys show that a significant number of AI researchers worry about extreme scenarios such as human extinction from advanced AI, indicating a greater level of concern and confusion in the AI development community than popular discourse suggests.
  3. Robots are becoming cheaper for research, like Mobile ALOHA that costs $32k, and with effective imitation learning, they can autonomously complete tasks, potentially leading to more robust robots in 2024.

Goodreads, bleak spam and bad dating apps

Links I Would Gchat You If We Were Friends • 758 implied HN points • 17 Feb 24
🕹 Technology AI Dating Apps Social Impact Robotics Ethics
  1. Some people experience real grief when a virtual relationship ends or changes, even with AI companions.
  2. AI companion apps like Replika, Kindroid, and Candy.ai allow users to form personalized relationships with customized bots, blurring the line between human and AI relationships.
  3. The concept of disenfranchised grief applies to loss experienced in virtual relationships, with individuals forming deep emotional connections to AI companions.

Welcome to Asimov's Addendum

Asimov’s Addendum • 79 implied HN points • 31 Jul 24
🕹 Technology AI Ethics Robotics Human Values Algorithm Design Corporate Governance
  1. Asimov's Three Laws of Robotics were a starting point for thinking about how robots should behave. They aimed to ensure robots protect humans, obey commands, and keep themselves safe.
  2. A new approach by Stuart Russell suggests that robots should focus on understanding and promoting human values, but they must be humble and recognize that they don’t know everything about our values.
  3. The development of AI must consider not just how well machines achieve goals, but also how corporate interests can affect their design and use. Proper regulation and transparency are needed to ensure AI is safe and beneficial for everyone.