Lifeboat Foundation

Humanity is on the verge of AGI (Artificial General Intelligence). Futurist Ray Kurzweil predicted decades ago that we would reach AGI in 2029. AI and Large Language Models could reach AGI sooner than 2029. However, the definitions of artificial intelligence that surpasses individual humans has issues around definitions and measurement.

Kurzweil also predicted the Singularity in 2045. He defined that as having cumulative artificial intelligence beyond the total intelligence of humanity.

Beyond the Singularity is Computronium and the limits of technology and the limits of computing.

TOC 00:00:00 Intro 00:03:38 Reasoning 00:13:09 Potential AI Breakthroughs Reducing Computation Needs 00:20:39 Memorization vs. Generalization in AI 00:25:19 Approach to the ARC Challenge 00:29:10 Perceptions of Chat GPT and AGI 00:58:45 Abstract Principles of Jurgen’s Approach 01:04:17 Analogical…

Jürgen Schmidhuber, the father of generative AI shares his groundbreaking work in deep learning and artificial intelligence. In this exclusive interview, he discusses the history of AI, some of his contributions to the field, and his vision for the future of intelligent machines. Schmidhuber offers unique insights into the exponential growth of technology and the potential impact of AI on humanity and the universe.

Continue reading “Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs” »

The futurist argues that advances in AI and medicine will offer us unprecedented freedom.

Now 76, the inventor and futurist hopes to reach “the Singularity” and live indefinitely. His margin of error is shrinking.

Nanobots are tiny, ~50–100 nm wide robots that perform a single, highly specialized task. They work incredibly well for administering drugs. Drugs typically act throughout the body before entering the diseased area. The medication can be precisely targeted with nanotechnology, increasing its effectiveness and lowering the possibility of negative side effects. Special sensor nanobots can be inserted into the blood under the skin where microchips, coated with human molecules and designed to emit an electrical impulse signal, monitor the sugar level in the blood.

In recent years, there have been many reviews investigating neuromorphic computing from the perspectives of device electrical properties,^{[ 9, 10 ]} resistive switching materials,^{[ 11, 12 ]} memristive synapses and neurons,^{[ 13 ]} algorithm optimization,^{[ 14 ]} and circuit design.^{[ 15 ]} Different from the existing literature, we discuss the possibility of achieving brain-like computing from the perspective of memristor technology and review the establishment of spiking neural network neuromorphic computing systems. In this article, we first review the resistive switching mechanisms of different types of memristors and focus on factors, which affect device stability and the corresponding optimization measures that have been applied. Furthermore, we study the stochasticity, power consumption, switching speed, retention, endurance, and other properties of memristors, which are the basis for neuromorphic computing implementations. We then review various memristor-based neural networks and the building of spike neural network neuromorphic computing systems. Finally, we shed light upon the major challenges and offer our perspectives and opinions for memristor-based brain-like computing systems.

The results were a significant improvement over the values produced by previous methods.

Unitree’s humanoid robot just got a mass production upgrade. The G1 will now feature stronger performance, the “ultimate appearance,” and is now more in line with mass production requirements according to Unitree.

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Continue reading “Unitree’s $16,000 Humanoid Robot Is Ready for Mass Production” »