Lifeboat Foundation

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.

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.

Continue reading “Chinese Researchers on the Brink of Developing ‘Real AI Scientists’ Capable of Conducting Experiments, Solving Scientific Problems” »

Erasing key information during training allows machine learning models to learn new languages faster and more easily.

“Without a fundamental understanding of the world, a model is essentially an animation rather than a simulation,” said Chen Yuntian, study author and a professor at the Eastern Institute of Technology (EIT).

Deep learning models are generally trained using data and not prior knowledge, which can include things such as the laws of physics or mathematical logic, according to the paper.

But the scientists from Peking University and EIT wrote that when training the models, prior knowledge could be used alongside data to make them more accurate, creating “informed machine learning” models capable of incorporating this knowledge into their output.

Inflection AI has recently launched Inflection-2.5, a model that competes with all the world’s leading LLMs, including GPT-4 and Gemini. Inflection-2.5 approaches the performance level of GPT-4 but utilizes only 40% of the computing resources for training.

Inflection-2.5 is available to all Pi’s users today, at pi.ai, on iOS, on Android, and via the new desktop app.

Inflection AI’s previous model, Inflection-1, utilized about 4% of the training FLOPs of GPT-4 and exhibited an average performance of around 72% compared to GPT-4 across various IQ-oriented tasks.

Science unites against artificial intelligence bio-weapon risks with new policies, emphasizing responsible research and ethical practices.

Researchers emulate snail-like movement in robots, a significant leap in bio-inspired engineering that could shape the future of robotics.

Researchers unveil live reinforcement learning-based whole-body humanoid teleoperation system, promising significant advancements.