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Formal Verification of Signal’s Protocol with Gemini

Ai-driven formal verification of production code.

Major breakthrough out of Google DeepMind: the team has achieved the first-time formal verification of the actual machine code underlying the Signal messaging protocol.

Historically, formal verification has been the gold standard of software security—offering end-to-end mathematical guarantees—yet functionally impractical for real-world production deployment. What traditionally takes specialized engineering teams decades of cumulative manual labor was executed in just one month using AlphaProof Code, a new agentic verification framework running on frontier #LLMs (including Gemini Carbon).

Key highlights from the release:

* Down to the Metal: Rather than verifying an abstract model or high-level spec, the team verified the actual low-level machine code executing on end-user devices.

* Scalable Cyber-Defense: Demonstrates how agentic AI frameworks act as asymmetric force multipliers against the speed and complexity of modern threat vectors.

* Open Science & Artifacts: Specifications and verification artifacts have been fully open-sourced to enable the broader research community to extend the work toward critical infrastructure, medical devices, and grid firmware.

A nose-to-brain circuit underlies anxiety regulation by nasal afferent frequency in mice

We utilized optogenetics to selectively control the frequency of OSN activity in OMP–hChR2V mice, in which all mature OSNs express Channelrhodopsin-2 (ChR2) (25). Stimulation frequencies were determined by referencing the nasal respiration rates of freely moving mice measured using a pressure sensor monitoring the airflow through a cannula implanted in the nasal cavity (SI Appendix, Fig. S1 A). Based on the distribution of measured breathing rates in quiet awake mice (SI Appendix, Fig. S1 B and C) and documented conscious mouse breathing rates (26 – 28), we categorized 2 Hz as low frequency, 4 Hz as moderate frequency, and 7 Hz as high frequency. Therefore, subsequent OSN stimulation was administered at 2, 4, and 7 Hz to selectively manipulate nasal neural activity at slow, moderate, and fast rates, respectively.

We assessed the anxiety-like behavior effects of manipulating OSNs in mice using the Elevated Plus Maze (EPM) and the Open Field Test (OFT) (Fig. 1A). Notably, low-frequency (i.e., 2 Hz) stimulation significantly increased the time spent in the open arms of the EPM (Fig. 1 B and C) and the central zone of the OFT (Fig. 1 B and D) compared to the control, indicative of anxiolytic effects. In contrast, high-frequency (i.e., 7 Hz) stimulation significantly reduced the time spent in these areas, suggesting anxiogenic effects (Fig. 1 B–D). The moderate-frequency (i.e., 4 Hz) group did not differ significantly from wild-type controls (Fig. 1 B–D). No significant changes in average speed were observed across all stimulation frequencies in both EPM and OFT (SI Appendix, Fig. S2A). OSN stimulation at low, moderate, and high frequencies did not significantly alter behaviors in the EPM and OFT in wild-type mice (SI Appendix, Fig. S3), ruling out visual artifacts as a confound.

Extra robotic thumb lets wearers complete two-handed tasks with one hand

To complete many everyday tasks and chores, humans typically use both of their hands. For instance, when opening a bottle, they use one hand to hold the bottle and the other to twist its cap. Researchers at the University of California San Diego recently developed EgoThumb, a robotic thumb that could allow people to complete some tasks that generally require both hands using only one.

Their proposed robotic system, introduced in a preprint posted on arXiv, captures images with a small camera, which are then analyzed by an artificial intelligence (AI) algorithm trained to plan the thumb’s movements.

“The initial inspiration came from soldering wires,” Jiawei Fu, co-first author of the paper, told Tech Xplore.

Attention Required!

$7.5 BILLION IN AI CHIPS, AND AN ALLEGED CHINESE INTELLIGENCE OPERATION

This story keeps getting more complicated.

According to reporting by The Information and Reuters, a business network associated with Chinese businesswoman Alice Huang (also known as Huang Le) allegedly facilitated approximately $7.5 billion in Nvidia chip shipments, involving roughly 240,000 processors, including H100, H200, and A100 accelerators.

The story has three interconnected dimensions: a personal relationship, an alleged intelligence operation, and a complex international chip-distribution network.

THE PEOPLE AND THE NETWORK

At the center is Alice Huang, a Chinese businesswoman whose professional background reportedly includes finance and investment management.

U.S. intelligence officials reportedly suspected that she was working for China’s Ministry of State Security (MSS), an allegation that has not been publicly established.

Her business network involved several companies, including:

Did Scientists Just Witness a Key Step in the Origin of Complex Life?

A recent headline suggested a breakthrough: “First Contact” That May Have Led to Complex Life on Earth Finally Witnessed by Scientists. 1

Have researchers witnessed experimental support for the origin of complex life? Is the biblical account of creation now in question? Are there bacteria from Asgard on earth? Let’s see what the paper claims.

Einstein’s Equations Reveal Gravity Can Break And Reconnect Like Magnetic Fields

Everywhere you go in the Universe, gravity exists.

It’s inextricably woven into its fabric, forming stars and planets, and choreographing the dance of galaxies.

It’s what keeps our world together and us upon it – yet even after more than a century of studying gravity by way of Einstein’s theory of general relativity, scientists are still discovering surprising new ways it can behave.

Spinal cord injury can reshape gut microbes that influence whole-body health

Scientists exploring the links between a spinal cord injury, inflammation and immune function have turned their attention to a genome-level analysis of the gut microbial community, with early study results offering hints at potential new approaches to aid healing.

In mice, refeeding a strain of bacteria that was depleted after spinal cord injury (SCI) lowered inflammation and stabilized weight loss. A second study identified 19 microbial species in the mouse gut with the strongest links to the body’s loss of nitrogen after SCI, which is associated with muscle wasting in humans.

Beyond these preliminary findings, the extensive genome-based mapping of microbial communities positions the research team from The Ohio State University to broaden understanding of the gut’s role in injury complications—as well as possible protective activities—when the central nervous system is disrupted.

Introducing Claude Fable 5.2 and Claude Mythos 5.2

The consensus in physical robotics just took a massive shift—but the real story is far more nuanced than the hype suggests. ⚙️💡

Six months ago, the prevailing orthodoxy was clear: text/code LLMs lacked spatial grounding, and end-to-end Vision-Language-Action (VLA) or world models were the *only* path to physical control. Then came Claude Fable 5.2, setting new state-of-the-art scores on RoboDojo—a simulated two-arm manipulation benchmark—and demonstrating impressive zero-shot spatial planning on un-trained tasks.

Naturally, many rushed to claim LLMs had solved physical manipulation. But if you look closer at real-world physical tests—beyond clean simulation environments—the picture changes fast.

In a recent informal physical tabletop test, an LLM-guided robotic arm was set up to play checkers. The result? 64 misses and multiple dropped tokens.

Why the stark disconnect between benchmark performance and physical reality? It comes down to the fundamental divide between high-level spatial reasoning and real-world motor execution:

🧠 What LLMs Get Right (The High-Level Brain)

* Strategic Spatial Logic: Fable 5.2 excels at abstract spatial priors (gravity, leverage, multi-step ordering) and long-horizon in-context error recovery. It easily decides *what* moves to make.