Wu et al. present an ensemble pipeline, PhageHost, comprising a protein language model, TailSeek, for tail fiber detection from phage and prophage genomes and a deep learning model, HostBuster, that integrates tail fiber features with host information to predict the lytic potential of phage–K. pneumoniae pairs.
A groundbreaking new vaccine technology using artificial intelligence could offer immunity against entire families of viruses and protect against future mutations with a single injection.
Researchers say this could prevent future pandemics before they emerge, saving millions of lives and sparing countries from the necessity of lockdowns.
A “super-antigen” has been developed through AI machine learning that meticulously analyses past and current outbreaks to pinpoint the essential elements for the survival of viruses.
What happens when an economist starts designing a future society?
Thirteen years ago, I sat down with Robin Hanson for a second time. It became the most vigorous debate ever recorded.
I rarely disagree with a guest. With Robin, I disagreed more than I ever had.
Here is what unsettled me. His work on the Em Economy reads like social science. It uses the language of markets, incentives, and equilibrium. But underneath the economic reasoning sit choices that are not economic at all. Policies of social discrimination. The full privatization of law and punishment. Minds run a thousand times faster, and handed a thousand times more voting power. Emulations deleted when they cannot pay their storage fees.
These are not technical footnotes. They are ethical and political decisions wearing the costume of impartial analysis.
Adam Smith, the father of economics, was first a moral philosopher. He understood where the tools of his discipline stop being useful and start being dangerous.
In this video, we explore the incredible and terrifying world of nano-weapons — microscopic machines designed for the battlefields of the future. From invisible drones to molecular-level assassins, nanotechnology is revolutionizing modern warfare in ways the world has never seen before. Discover how these tiny machines can spy, sabotage, and even kill at the atomic scale. We’ll uncover real-world research, secret military projects, and the ethical dangers behind the next generation of warfare. The rise of nano-weapons could change the balance of global power forever — but are we ready for what’s coming? Watch till the end to understand the full potential and risks of these microscopic war machines.
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A new supply-chain attack has infected 36 packages on the Node Package Manager (npm) index with infostealer malware called IronWorm.
The malware targets 86 environment variables (key-value pairs) and 20 credential files that may contain OpenAI, AWS, Anthropic, and npm credentials, vault configuration files, SSH keys, and Exodus cryptocurrency wallet files.
According to researchers at supply-chain and devops company JFrog, IronWorm is written in Rust, hides behind an eBPF kernel rootkit, and communicates with the operator over the Tor network.
Designing surfaces that precisely control how light behaves at the nanoscale is tricky. Optical Fourier surfaces, which are nanostructured gratings that redistribute light into specific directions and wavelengths, hold enormous potential for compact spectrometers, augmented-reality displays, and advanced sensors. However, their standard design process relies on computer simulations that assume idealized conditions such as single-angle illumination and the absence of fabrication imperfections—a far cry from reality.
The gap between what simulations predict and what fabricated devices actually do has long frustrated researchers. It widens further when designers try to exploit one of the most powerful but underused design parameters: the angle of incoming light. Changing the incident angle can activate or suppress optical modes without any physical modification to the structure, effectively enabling multiple functions on a single device.
“This effectively introduces an additional degree of freedom beyond geometry, expanding the design space significantly,” said Associate Professor Dong Zhaogang from the Singapore University of Technology and Design (SUTD). “But its practical use has been limited because simulations at oblique incidence are often computationally unstable and costly, while real experimental systems involve angular distributions rather than single-incident angles.”
Brave Software has announced the public release of Origin, a paid minimalist, bloat-free version of its browser that strips out cryptocurrency, AI, rewards, and other monetization-focused features.
The browser maker says Brave Origin is designed for users who want a more streamlined, privacy-focused browser without the company’s optional revenue-generating services and integrations.
“Today, Brave is announcing the release of Brave Origin, a paid version of the browser for users who don’t need all of Brave’s out-of-the-box features, but still want the privacy that only Brave offers,” the company explains.
Taken far enough, and given enough compute, that trend points to an AI system capable of fully autonomously designing and developing its own successor. This is called recursive self-improvement. We are not there yet, and recursive self-improvement is not inevitable. But it could come sooner than most institutions are prepared for.
Using public benchmarks and previously unreported data from within Anthropic, The Anthropic Institute is showing that AI is already accelerating the development of AI systems. To take just one example: today, Anthropic engineers on average ship 8x as much code per quarter as they did from 2021–2025.
The technical trends discussed in this piece suggest that AI systems are going to become much more capable in coming years. These trends have huge implications. AI that can build itself would be a major development in the history of technology—one that could bring enormous good for the world in science, healthcare, and beyond. But full recursive self-improvement also might increase the risks of humans losing control over AI systems. If systems are capable of fully building their own successors, the ways we secure them, monitor them, and shape their behavior all grow much more important.