A new study reveals that when interacting with AI tools like ChatGPT, everyone—regardless of skill level—overestimates their performance.
Category: robotics/AI – Page 180
Physicist Discover Hidden Rules of Life
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Physicists really do believe that their discipline is the basis for all other sciences because, well, it is. Recently, physicists have been applying physics to biology, using physics principles to predict how life itself evolves. Let’s take a look.
Paper 1: https://arxiv.org/abs/2509.09892
Paper 2: https://arxiv.org/abs/2502.11398
Paper 3: https://journals.aps.org/pre/abstract… Check out my new quiz app ➜ http://quizwithit.com/ 📚 Buy my book ➜ https://amzn.to/3HSAWJW 💌 Support me on Donorbox ➜ https://donorbox.org/swtg 📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/ 👉 Transcript with links to references on Patreon ➜ / sabine 📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… 👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜
/ @sabinehossenfelder #science #sciencenews #physics #biology.
🤓 Check out my new quiz app ➜ http://quizwithit.com/
📚 Buy my book ➜ https://amzn.to/3HSAWJW
💌 Support me on Donorbox ➜ https://donorbox.org/swtg.
📝 Transcripts and written news on Substack ➜ https://sciencewtg.substack.com/
👉 Transcript with links to references on Patreon ➜ / sabine.
📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle…
👂 Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl…
🔗 Join this channel to get access to perks ➜
/ @sabinehossenfelder.
#science #sciencenews #physics #biology
AGI: will it kill us or save us?
Artificial general intelligence (AGI) could be humanity’s greatest invention… or our biggest risk.
In this episode of TechFirst, I talk with Dr. Ben Goertzel, CEO and founder of SingularityNET, about the future of AGI, the possibility of superintelligence, and what happens when machines think beyond human programming.
We cover:
• Is AGI inevitable? How soon will it arrive?
• Will AGI kill us … or save us?
• Why decentralization and blockchain could make AGI safer.
• How large language models (LLMs) fit into the path toward AGI
• The risks of an AGI arms race between the U.S. and China.
• Why Ben Goertzel created Meta, a new AGI programming language.
📌 Topics include AI safety, decentralized AI, blockchain for AI, LLMs, reasoning engines, superintelligence timelines, and the role of governments and corporations in shaping the future of AI.
⏱️ Chapters.
00:00 – Intro: Will AGI kill us or save us?
Scientists Just Connected the Dots Between Viruses and… Everything
An AI researcher going back to school for immunology
ML Systems Textbook
Machine Learning Systems provides a systematic framework for understanding and engineering machine learning (ML) systems. This textbook bridges the gap between theoretical foundations and practical engineering, emphasizing the systems perspective required to build effective AI solutions. Unlike resources that focus primarily on algorithms and model architectures, this book highlights the broader context in which ML systems operate, including data engineering, model optimization, hardware-aware training, and inference acceleration. Readers will develop the ability to reason about ML system architectures and apply enduring engineering principles for building flexible, efficient, and robust machine learning systems.
Hyundai joins US’ 11 gigawatt nuclear reactor project in Texas
Hyundai Engineering & Construction (Hyundai E&C) has taken a major step in expanding its global nuclear energy footprint.
On October 26, the company announced that it signed a basic design contract with Fermi America, a U.S.-based energy development firm, for the construction of four large nuclear reactors in Texas. The project will form part of what is expected to be the world’s largest integrated energy and artificial intelligence (AI) campus.
Teen builds advanced robotic hand from LEGO parts
A talented teenager from the UK has built a four-fingered robotic hand from standard Lego parts that performs almost as well as research-grade robotic hands. The anthropomorphic device can grasp, move and hold objects with remarkable versatility and human-like adaptability.
Jared Lepora, a 16-year-old student at Bristol Grammar School, began working on the hand a couple of years ago with his father, who works at the University of Bristol. Called the Educational SoftHand-A, it is made entirely of LEGO MINDSTORMS components and is designed to mimic the shape and function of the human hand. The only non-LEGO parts are the cords that act as tendons.
The hand’s four fingers (an index, middle, pinkie and opposing thumb) and twelve joints (three on each finger) are driven by two motors that control two sets of tendons. One tendon opens the hand while the other closes it, similar to the push-pull system of our own muscles.
Beyond electronics: Optical system performs feature extraction with unprecedented low latency
Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on the ability to quickly extract key features from streams of raw data. This process is currently bottlenecked by traditional digital processors. The physical limits of conventional electronics prevent the reduction in latency and the gains in throughput required in emerging data-intensive services.
The answer to this might lie in harnessing the power of light. Optical computing—or using light to perform demanding computations—has the potential to greatly accelerate feature extraction. In particular, optical diffraction operators, which are plate-like structures that perform calculations as light propagates through them, are highly promising due to their energy efficiency and capacity for parallel processing.
However, pushing these systems to operating speeds beyond 10 GHz in practice remains a technical challenge. This is mainly due to the difficulty of maintaining the stable, coherent light needed for optical computations.