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Elon Musk Holds Surprise Talk At The World Economic Forum In Davos

The musk blueprint: navigating the supersonic tsunami to hyperabundance when exponential curves multiply: understanding the triple acceleration.

On January 22, 2026, Elon Musk sat down with BlackRock CEO Larry Fink at the World Economic Forum in Davos and delivered what may be the most important articulation of humanity’s near-term trajectory since the invention of the internet.

Not because Musk said anything fundamentally new—his companies have been demonstrating this reality for years—but because he connected the dots in a way that makes the path to hyperabundance undeniable.

[Watch Elon Musk’s full WEF interview]

This is not visionary speculation.

This is engineering analysis from someone building the physical infrastructure of abundance in real-time.

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Neutrophil extracellular trapping network-associated biomarkers in liver fibrosis: machine learning and experimental validation

The diagnostic and therapeutic potential of neutrophil extracellular traps (NETs) in liver fibrosis (LF) has not been fully explored. We aim to screen and verify NETs-related liver fibrosis biomarkers through machine learning.

In order to obtain NETs-related differentially expressed genes (NETs-DEGs), differential analysis and WGCNA analysis were performed on the GEO dataset (GSE84044, GSE49541) and the NETs dataset. Enrichment analysis and protein interaction analysis were used to reveal the candidate genes and potential mechanisms of NETs-related liver fibrosis. Biomarkers were screened using SVM-RFE and Boruta machine learning algorithms, followed by immune infiltration analysis. A multi-stage model of fibrosis in mice was constructed, and neutrophil infiltration, NETs accumulation and NETs-related biomarkers were characterized by immunohistochemistry, immunofluorescence, flow cytometry and qPCR. Finally, the molecular regulatory network and potential drugs of biomarkers were predicted.

A total of 166 NETs-DEGs were identified. Through enrichment analysis, these genes were mainly enriched in chemokine signaling pathway and cytokine-cytokine receptor interaction pathway. Machine learning screened CCL2 as a NETs-related liver fibrosis biomarker, involved in ribosome-related processes, cell cycle regulation and allograft rejection pathways. Immune infiltration analysis showed that there were significant differences in 22 immune cell subtypes between fibrotic samples and healthy samples, including neutrophils mainly related to NETs production. The results of in vivo experiments showed that neutrophil infiltration, NETs accumulation and CCL2 level were up-regulated during fibrosis. A total of 5 miRNAs, 2 lncRNAs, 20 function-related genes and 6 potential drugs were identified based on CCL2.

AI-powered intelligent 6G radio access technology significantly enhances wireless communication performance

Korea’s research community has reached an important milestone on the path toward next-generation mobile communications with the development of a technology platform that brings the 6G era closer. Researchers expect that AI-Native mobile networks, in which artificial intelligence autonomously controls and optimizes the communication system, could achieve transmission efficiencies up to 10 times higher than those of 5G.

Breakthroughs in AI-based wireless access ETRI has completed the development of AI-based wireless access technology (AI-RAN), a core foundational technology for the 6G era, and has achieved significant results in paving the way for the AI-based next-generation mobile communication era.

The biggest feature of this technology is that it has applied AI to wireless transmission, network control, and edge computing throughout the network to reliably handle large volumes of data even in ultra-dense network environments.

The human advantage: Stronger brains in the age of AI

Stronger brains strengthen resilience, productivity, and shared prosperity. It is time to invest accordingly.

The brain is the body’s most complex and vital organ, regulating everything from basic life functions to complex decision-making. It is also the foundation of how people live, work, and connect, making it central to individual well-being, high-performing organizations, and resilient economies. Despite rapid technological advances, nothing yet replicates the brain’s capacity to contribute to society.

AI will reshape work, and competitiveness will hinge on combining human and machine strengths. Countries and companies must evolve their strategies to enable collaboration and harness the complementary strengths of human intelligence and technology, or risk slower growth and being left behind in the next era of the global economy. And while the stakes are high if we fail to invest in the health of our brains and the skills that make us uniquely human, the potential gains—individually, socially, and economically—are even greater if we choose to do so.

In this report, brain health is defined as a state of optimal brain functioning, supported by the promotion of healthy brain development and the prevention or treatment of mental, neurological, and substance use disorders in people of all ages. But health alone is not enough. Brain skills—the foundational cognitive, interpersonal, self-leadership, and technological literacy abilities that enable people to adapt, relate, and contribute meaningfully—are equally critical to societal progress. Together, these form what is called brain capital.

Underinvestment in the brain has a substantial cost. The global disease burden of brain health conditions is rising, driven by an aging population, increased stressors, and elevated uncertainty about the future. When societies overlook the brain’s central role in health and productivity, the impact is felt in disrupted lives, lost potential, and a heavy toll on families and caregivers. Scaling cost-effective interventions to prevent, treat, and help people recover from brain health conditions could avert 267 million disability-adjusted life years (DALYs) globally by 2050, generating up to $6.2 trillion in cumulative GDP gains.1 Investing early can create even greater returns—quality early-childhood programs have demonstrated annual returns of 7 to 13 percent and delivered benefit-to-cost ratios of up to nine to one in low-and middle-income countries.

In this report by the McKinsey Health Institute, in collaboration with the World Economic Forum, the authors make the case for investing in the brain, introduce five levers for action, and offer a road map for next steps. While specific actions may vary by stakeholder, region, or sector, there is a need for a shared aspiration and framework for change. This report aims to fill that gap.

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Filics secures €13.5M to expand and roll out its robotics platform

Morten E. Iversen, partner at Sandwater, said that Filics technology offers not only substantial space efficiency but also a flexible, scalable path to the automation of warehouses:

For Sandwater, it represents a transformative solution that can redefine warehouse operations—reducing space needs, boosting productivity, and achieving a smaller footprint through a smart hardware/software combination. We have been truly impressed by the team.

The Filics Unit will be further developed for use in floor block warehouses by the end of 2025, enabling up to 66 per cent space savings to be achieved. In the medium term, the company plans to develop the technology further to enable fully autonomous truck loading in under five minutes.

Metamaterial Performs Computations in a New Way

A research team has developed a triangular mechanical network that can squeeze and wiggle in a multitude of preprogrammed ways [1]. The metamaterial design—realized in experiments with various materials, including Legos—may have applications from shock absorption to protein modeling. But the researchers also demonstrated that their structures can solve problems in matrix algebra. Performing computations in materials without converting information to electrical signals could be useful when durability and energy efficiency are more important than computing power, for example, in components of some soft robots.

Recent work showed that a mechanical system can perform similar computations [2]. However, this previous demonstration was limited in the number of inputs and outputs that it could accommodate, says Yair Shokef of Tel Aviv University in Israel. It also had rather large components that made it difficult to adapt to different applications.

Shokef and his colleagues, who produced the latest demonstration, built their 2D networks from equilateral triangles. Each triangle consisted of rigid beams with hinge points at each vertex and at the center of each side, for a total of three so-called corner nodes and three edge nodes per triangle. Importantly, each triangle had one or two “bonds”—beams that connected edge nodes and that determined the ways in which the triangle could be distorted or flexed.

Harnessing nanoscale magnetic spins to overcome the limits of conventional electronics

Researchers at Kyushu University have shown that careful engineering of materials interfaces can unlock new applications for nanoscale magnetic spins, overcoming the limits of conventional electronics. Their findings, published in APL Materials, open up a promising path for tackling a key challenge in the field and ushering in a new era of next-generation information devices.

The study centers around magnetic skyrmions—swirling, nanoscale magnetic structures that behave like particles. Skyrmions possess three key features that make them useful as data carriers in information devices: nanoscale size for high capacity, compatibility with high-speed operations in the GHz range, and the ability to be moved around with very low electrical currents.

A skyrmion-based device could, in theory, surpass modern electronics in applications such as large-scale AI computing, Internet of Things (IoT), and other big data applications.

Who’s behind AMI Labs, Yann LeCun’s ‘world model’ startup

Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have been hiding in plain sight.

On its newly launched website, the startup disclosed its plans to develop “world models” in order to “build intelligent systems that understand the real world.” The focus on world models was already hinted at by AMI’s name, which stands for Advanced Machine Intelligence, but it has now officially joined the ranks of the hottest AI research startups.

Building foundational models that bridge AI and the real world has become one of the field’s most exciting pursuits, attracting top scientists and deep-pocketed investors alike — product or no product.

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