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From Genome to Geroscience: How DNA Damage Shapes Systemic Decline

Persistent genomic instability compromises cellular viability while also triggers non-cell-autonomous responses that drive dysfunction across tissues, contributing to aging. Recent evidence suggests that DNA damage activates secretory programs, including the release of inflammatory cytokines, damage-associated molecular patterns, and extracellular vesicles, that reshape immune homeostasis, stem cell function, and metabolic balance. Although these responses may initially support tissue integrity and organismal survival, their chronic activation has been associated with tissue degenerative changes and systemic decline. Here, we discuss how nuclear DNA damage responses trigger the activation of cytoplasmic sensing pathways, promote secretory phenotypes, and affect organismal physiology. Targeting DNA damage-driven mechanisms may help buffer harmful systemic responses while preserving regeneration and immune surveillance, offering new ways to delay aging-related decline.

© 2025 The Author(s). BioEssays published by Wiley‐VCH GmbH.

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Grok AI Video: xAI Expands Imagine Video tool to Android users

Elon Musk added that for a limited time, Grok Imagine video generation is free to all users in the US region.

(You can access anything in any region with a VPN 🙄)

Generative Artificial Intelligence (gen AI) firm xAI, earlier this week, introduced the Imagine video generation feature in the Grok AI app for iPhones.

Now, the company has expanded the availability of the video generation feature to the Android version of the Grok AI app. Elon Musk confirmed the news on his social media platform X. Also, Musk added that for a limited time, Grok Imagine video generation is free for a limited time for US region users.


AI Innovation: xAI brings Imagine video generation to Grok AI Android app, now free for US users for a limited time.

SpaceX’s Mars Breakthrough — What No One’s Talking About!

SpaceX is making significant progress towards establishing a human presence on Mars, with a major contract, advancements in technology, and plans for infrastructure development, potentially giving them a lead over competitors and raising questions about the future of space exploration and ownership ##

## Questions to inspire discussion.

Mars Exploration and Infrastructure.

🚀 Q: What is SpaceX’s breakthrough in Mars exploration? A: SpaceX’s Starship secured its first paying customer for Mars payloads: the Italian Space Agency, in a deal worth hundreds of millions of dollars.

🔬 Q: What experiments will the Italian Space Agency conduct on Mars? A: The payload includes plant growth, radiation, and local climate monitoring experiments, collecting data during the 6-month flight and on Mars’ surface.

🤖 Q: How will robots assist in Mars exploration? A: SpaceX plans to send 1,000–2,000 Optimus robots to Mars to fix rovers, run experiments, maintain equipment, and scout locations for future missions.

Delivering 1.5 M TPS Inference on NVIDIA GB200 NVL72, NVIDIA Accelerates OpenAI gpt-oss Models from Cloud to Edge

NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA DGX back in 2016. The collaborative AI innovation continues with the OpenAI gpt-oss-20b and gpt-oss-120b launch. NVIDIA has optimized both new open-weight models for accelerated inference performance on NVIDIA Blackwell architecture, delivering up to 1.5 million tokens per second (TPS) on an NVIDIA GB200 NVL72 system.

The gpt-oss models are text-reasoning LLMs with chain-of-thought and tool-calling capabilities using the popular mixture of experts (MoE) architecture with SwigGLU activations. The attention layers use RoPE with 128k context, alternating between full context and a sliding 128-token window. The models are released in FP4 precision, which fits on a single 80 GB data center GPU and is natively supported by Blackwell.

The models were trained on NVIDIA H100 Tensor Core GPUs, with gpt-oss-120b requiring over 2.1 million hours and gpt-oss-20b about 10x less. NVIDIA worked with several top open-source frameworks such as Hugging Face Transformers, Ollama, and vLLM, in addition to NVIDIA TensorRT-LLM for optimized kernels and model enhancements. This blog post showcases how NVIDIA has integrated gpt-oss across the software platform to meet developers’ needs.

Tesla’s New Strategy Has Uber Terrified

Questions to inspire discussion.

👥 Q: What is the ratio of robo taxis to supervisors in Tesla’s network? A: Tesla’s robo taxi network operates with a 10:1 ratio of robo taxis to supervisors, enabling efficient management and cost-effective operations.

Market Disruption.

📊 Q: How is Whim, a Tesla competitor, performing in the market? A: As of April 2025, Whim has 25% of San Francisco gross bookings, surpassing Lyft, with an average price of $20 per mile compared to Uber’s $15 and Lyft’s $14.

Technology Superiority.

🤖 Q: How does Tesla’s robo taxi software compare to human drivers? A: Tesla’s robo taxi software has crossed the uncanny valley, providing a smooth and comfortable driving experience similar to a human chauffeur, outperforming Uber’s inconsistent service.

DARPA announces $4 million winner of AI code review competition at DEF CON

The winner announced on Friday at the DEF CON cybersecurity conference, known as Team Atlanta, is composed of tech experts from Georgia Tech, Samsung Research, the Korea Advanced Institute of Science & Technology (KAIST) and the Pohang University of Science and Technology (POSTECH).

“They’re Handing Supercomputer Power to Everyone”: Nexus Ignites Fierce Debate as Georgia Tech’s 400 Quadrillion-Operation AI Revolution Promises Unmatched Access for US Scientists

IN A NUTSHELL 🚀 Nexus aims to democratize access to advanced computing with its groundbreaking capabilities. 🔬 The supercomputer is set to revolutionize scientific research with over 400 quadrillion operations per second. 🌍 Nexus’s accessibility philosophy ensures researchers nationwide can utilize its powerful AI tools. 🔗 Georgia Tech collaborates with the University of Illinois for

First 3D-Printed Home Made Primarily From Soil is Built in Japan–Ditching Unsustainable Concrete

Collaborating with robotics engineers and Italian 3D printer manufacturers, a Japanese company is building “homes of earth” made primarily from soil.

Utilizing AI technology from design through construction, Lib Work, Ltd. completed their first 3D-printed earth home in Yamaga, Kumamoto on July 22, calling their creative process “uncharted territory where tradition and convention offered no guide”

While the automotive industry has undergone rapid transformation through technological advances, the housing industry has seen virtually no fundamental innovation in construction methods, materials, or structures for over 50 years.

Neural Networks Go Nano: Brain-Inspired Learning Takes Flight

For the first time, a physical neural network has successfully been shown to learn and remember ‘on the fly’, in a way inspired by and similar to how the brain’s neurons work.

The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.

Published today (November 1) in Nature Communications, the research is a collaboration between scientists at the University of Sydney and the University of California at Los Angeles (UCLA).

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