⚡️🇨🇳🇪🇬 Chinese, Egyptian presidents sign agreements, MoUs to boost cooperation

Xi’s visit is the first by a Chinese president to Egypt in 10 years. The agreements and MoUs cover cooperation in several fields, including industrial development, investment and other areas aimed at strengthening economic ties between the two countries.

Egyptian President Abdel Fattah al-Sisi said that the two countries have a “clear political will to elevate the prospects of bilateral cooperation, particularly through localizing industry and transferring technology.” 🤝

He also said the two countries are launching a new phase of cooperation in renewable energy, automotive manufacturing, textiles and chemical fibers, while announcing the launch of the third phase of expansions at the China-Egypt industrial zone in the Suez Canal Economic Zone.

#BRICS

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🤑 BIS Builds and Tests System Anchoring Government Banking Data on the XRP Ledger

❗️September 2026 report confirms that the BIS is leveraging XRP for a new on-chain verification pilot. XRP was mentioned 101 times in the BIS paper.

📝 The BIS built and tested a new verification system. It anchors official economic and banking statistics on the XRP Ledger. Working paper 1374 documents the design, the code, and the test results.

🧱 What the BIS Built

The system gives statistical agencies a way to prove published data is genuine. Each release receives a cryptographic fingerprint, and the XRP Ledger stores that fingerprint permanently. Anyone can then check a downloaded file against the ledger record. Importantly, the underlying data never touches the chain. Only the fingerprint does, so confidentiality holds throughout.

The BIS built this around SDMX, the standard it uses to exchange official statistics. The ECB, IMF, OECD, World Bank, and ILO rely on SDMX as well. However, SDMX offers no native way to prove where a file originated. The BIS closed that gap by making the XRP Ledger a public notary. As the paper puts it, no single institution can then edit the record silently.

❗️Even so, the XRP Ledger is the chain they built on, tested on, and shipped code for. That code now sits in public under an Apache 2.0 licence through BIS Open Tech.

The paper also points to XRPL’s EVM-compatible sidechain as a natural next step. That route would let data anchoring and smart contract execution share one ledger.

🚀 What This Opens Up for XRPL

The authors look past statistics publishing toward tokenized markets. They argue the payoff grows when verified data sits on the same ledger as digital assets. Inflation-linked products, perpetual futures, and derivative settlement all appear as candidates.

🔜 A contract could confirm an inflation print is authentic before releasing a payment. Additionally, the paper proposes Chainlink integration to carry verified statistics onto other chains.

🔜 AI agents receive similar treatment. The authors want standard verification protocols for autonomous systems reading official data. They also flag zero-knowledge proofs for checking statistical properties without revealing the figures.

⚡️ Where the Prototype Stops

The BIS frames this as a proof of concept rather than a live service. Production use would require HSM-backed signing, pinned validator nodes, and formal load testing. The ledger also certifies only what was published, by whom, and when. Publishers stay responsible for whether the numbers themselves are correct.

#Stellar

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🤖 The Open Secure AI Alliance is now part of the Linux Foundation

Originally founded by Nvidia, the Open Secure AI Alliance will develop open source tools, shared standards, and defensive practices that help organizations inspect, audit, and secure AI systems.

"We helped form the alliance to bring organizations together around open, practical ways to secure AI systems. Great to see that work continue with the Linux Foundation," — Nvidia said. 🚀

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🤖 Researchers build a smartphone clip-on that spots hidden cameras

A technology has been developed to detect illegal hidden cameras in places like hotels and restrooms by simply attaching a light-emitting diode, LED device to a smartphone. Unlike conventional methods of visually identifying lenses, AI analyzes light reflection patterns to detect camera lenses.

In experiments on 30 objects commonly found in living spaces — such as chargers, alarm clocks, remote controls, and decorations — the technology achieved a 94% accuracy rate in detecting hidden cameras, with each inspection taking less than 5 seconds. 🤯

“Illegal hidden cameras seriously threaten personal safety and privacy in everyday spaces,” — Professor Han Jun from KAIST stated. “By combining low-cost hardware with AI analysis, we have demonstrated the potential for a detection technology that even non-experts can use easily.”

@QSIMedia