Researcher Norman Wagner speaks to Interesting Engineering about the complex chemistry of extraterrestrial cement.
Meta’s latest brainchild, Llama 3, is rewriting the rules of digital communication. This powerhouse AI model doesn’t just compete—it surpasses OpenAI’s GPT-4 and Google’s Gemini. Brace yourself for enhanced responsiveness, multimodal magic, and a dash of ethical finesse.
Under Zuckerberg’s visionary helm, Llama 3 dances with context, reads between the lines and delivers nuanced interactions across platforms. It’s not just about AI; it’s about redefining how we connect. 🚀🤖
Continue reading “Zuck’s New Plan: LLaMA 3 and the Future of Open-Source AGI” »
Some researchers see superhuman qualities in artificial intelligence. All scientists need to be alert to the risks this creates.
Link to paper: Megaphragma is a tiny parasitoid wasp that shows complex behaviors despite its miniscule size.
Chua et al. map the compound eye and the lamina of micro-wasp Megaphragma viggianii in the same specimen with a few-nanometer resolution. The stereotyped cartridge connectome is similar to but simpler than that in larger insects. Dorsal rim specialization in photoreceptor morphology is reflected in the differences in downstream cartridge connectomes.
I explain how and why some modern philosophers are moving from materialism to idealism. Timestamps00:00 – Intro00:13 – Quick rundown01:03 – David Chalmers and…
Physicists debut a new method to detect gravitational waves with unprecedented precision, providing insights into black hole mergers.
A team of researchers from Peking University and the Eastern Institute of Technology (EIT) in China has developed a new framework to train machine learning models with prior knowledge, such as the laws of physics or mathematical logic, alongside data.
Chinese researchers are on the brink of pioneering a groundbreaking approach to developing ‘AI scientists capable of conducting experiments and solving scientific problems.
Recent advances in deep learning models have revolutionized scientific research, but current models still struggle to simulate real-world physics interactions accurately.
Erasing key information during training allows machine learning models to learn new languages faster and more easily.
