This is Philip K Dick’s famous Metz speech given in Metz, France in 1977. Philip gave the speech with a French interpreter beside him for the audience, but for English speakers it can be distracting. I took care of that for you in addition to very subtly improving the video quality and doing modest touch-ups to the audio, making it clearer and reducing the humming without too heavy a hand. In the speech he explores some of his ideas of parallel realities (lateral realities/lateral dimensions), his experience in 1974 (2−3−74), and how they both relate to his novels. A very exciting way to get introduced to the enigmatic, fascinating Philip K. Dick!
An artificial intelligence model has created a new protein that researchers say would have taken 500 million years to evolve in nature — if nature were capable of producing such a thing.
China introduces its breakthrough DeepSeek R1 AI model as well as the most humanlike movement of potentially any robot so far with the AGI Bot A2 with BridgeDP Robotics, plus Chinese company Lumos showcases a stress test video of its LUS1 humanoid robot. Finally, ByteDance releases UI-TARS to compete with OpenAI’s Orchestrator agentic AI for autonomous GUI task execution.
Mathematics and physics have long been regarded as the ultimate languages of the universe, but what if their structure resembles something much closer to home: our spoken and written languages? A recent study suggests that the mathematical equations used to describe physical laws follow a surprising pattern—a pattern that aligns with Zipf’s law, a principle from linguistics.
This discovery could reshape our understanding of how we conceptualize the universe and even how our brains work. Let’s explore the intriguing connection between the language of mathematics and the physical world.
Fast radio bursts (FRBs) are one of the greater mysteries facing astronomers today, rivaled only by gravitational waves (GWs) and gamma-ray bursts (GRBs). Originally discovered in 2007 by American astronomer Duncan Lorimer (for whom the “Lorimer Burst” is named), these short, intense blasts of radio energy produce more power in a millisecond than the sun generates in a month.
In most cases, FRBs are one-off events that brightly flash and are never heard from again. But in some cases, astronomers have detected FRBs that were repeating in nature, raising more questions about what causes them.
Prior to the discovery of FRBs, the most powerful bursts observed in the Milky Way were produced by neutron stars, which are visible from up to 100,000 light-years away. However, according to new research led by the Netherlands Institute for Radio Astronomy (ASTRON), a newly detected FRB was a billion times more radiant than anything produced by a neutron star.
The world’s most active volcano is at it again after Hawaii’s Kilauea began its seventh episode of its ongoing eruption, with video showing lava shooting more than 100 feet into the air.
The OS axiom posits that reality operates like a computational construct. Think of it as an evolving cosmic master algorithm—a fractal code that is both our origin and our ultimate destiny. This axiom doesn’t diminish the beauty or mystery of existence; on the contrary, it elevates it. When we think of the universe as a computation, we realize that the laws of physics, the flow of time, and even the emergence of consciousness are not random accidents but inevitable outcomes of this higher-order system.
This concept naturally leads us to the Omega Singularity, a term I use to describe the ultimate point of universal complexity and consciousness. Inspired by Pierre Teilhard de Chardin’s Omega Point, this cosmological singularity is where all timelines of evolution, computation, and consciousness converge into a state of absolute unity—a state where the boundaries between the observer and the observed dissolve entirely. In The Omega Singularity, I elaborate on how this transcendent endpoint represents not just the culmination of physical reality but the quintessence of the “Universal Mind” capable of creating infinite simulations, much like we create virtual worlds today.
But let’s take a step back. How does this all relate to the OS axiom? If the universe is computational, it means that all processes—be they physical, biological, or cognitive—are governed by fundamental rules, much like a computer program. From the fractal geometry of snowflakes to the self-organizing principles of life and intelligence, we see the OS postulate at work everywhere. The question then becomes: Who or what wrote the code? Here, we enter the realm of metaphysics and theology, as explored in Theogenesis and The Syntellect Hypothesis. Could it be that we, as conscious agents, are co-authors of this universal script, operating within the nested layers of the Omega-God itself?
It is widely recognized that continuously scaling both data size and model size can lead to significant improvements in model intelligence. However, the research and industry community has limited experience in effectively scaling extremely large models, whether they are dense or Mixture-of-Expert (MoE) models. Many critical details regarding this scaling process were only disclosed with the recent release of DeepSeek V3. Concurrently, we are developing, a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies. Today, we are excited to share the performance results of and announce the availability of its API through Alibaba Cloud. We also invite you to explore on Qwen Chat!
We evaluate alongside leading models, whether proprietary or open-weight, across a range of benchmarks that are of significant interest to the community. These include MMLU-Pro, which tests knowledge through college-level problems, LiveCodeBench, which assesses coding capabilities, LiveBench, which comprehensively tests the general capabilities, and Arena-Hard, which approximates human preferences. Our findings include the performance scores for both base models and instruct models.
