BTC $79,993.67 -0.76%
ETH $2,320.28 -0.70%
BNB $739.80 -1.82%
XRP $1.29 -1.81%
SOL $100.41 -1.03%
TRX $0.3311 -0.03%
DOGE $0.0788 -0.48%
ADA $0.2007 -1.40%
BCH $278.54 -5.95%
LINK $11.63 +0.28%
HYPE $88.65 +10.11%
AAVE $133.13 +0.66%
SUI $0.9211 -0.51%
XLM $0.1705 +0.48%
ZEC $1,267.57 -1.49%
AAPL $348.20 +0.44%
AMZN $248.17 -2.05%
GOOGL $288.27 -11.19%
MSFT $540.66 +1.86%
META $617.12 -0.81%
NVDA $214.20 -2.52%
TSLA $403.75 -1.80%
SNDK $1,365.73 +0.45%
INTC $92.47 -3.02%
SPCX $142.96 -4.00%
MU $954.99 -0.52%
AMD $563.11 -1.16%
BTC $79,993.67 -0.76%
ETH $2,320.28 -0.70%
BNB $739.80 -1.82%
XRP $1.29 -1.81%
SOL $100.41 -1.03%
TRX $0.3311 -0.03%
DOGE $0.0788 -0.48%
ADA $0.2007 -1.40%
BCH $278.54 -5.95%
LINK $11.63 +0.28%
HYPE $88.65 +10.11%
AAVE $133.13 +0.66%
SUI $0.9211 -0.51%
XLM $0.1705 +0.48%
ZEC $1,267.57 -1.49%
AAPL $348.20 +0.44%
AMZN $248.17 -2.05%
GOOGL $288.27 -11.19%
MSFT $540.66 +1.86%
META $617.12 -0.81%
NVDA $214.20 -2.52%
TSLA $403.75 -1.80%
SNDK $1,365.73 +0.45%
INTC $92.47 -3.02%
SPCX $142.96 -4.00%
MU $954.99 -0.52%
AMD $563.11 -1.16%

astr

All
Article
Flash

first_img On-chain infrastructure company KR1 purchased 5,000 TAO and initiated Bittensor staking

On October 29, KR1 plc, a company listed on the main board of the London Stock Exchange that focuses on on-chain infrastructure, announced the launch of its technical infrastructure operations on the decentralized artificial intelligence network Bittensor. The company stated that it has recently acquired 5,000 network-native assets TAO and has initiated staking as part of its technical infrastructure strategy. Based on the reward rate observed on October 28, the company estimates that the annualized infrastructure income is approximately equivalent to 6.6% of the current value of the deployed TAO holdings.The announcement stated that Bittensor is a layer blockchain that supports subnets, covering services such as AI inference, computing power, training, and prediction, where independent suppliers compete for network rewards based on performance. KR1 supports the assessment of service provider performance through staking and receives a portion of the network rewards. There is no mandatory unbonding period for TAO unstaking, allowing the company to retrieve its holdings immediately after unstaking. Rewards can be retained to expand the scale of productive assets or can be liquidated for subsequent investments and operational costs. The company will also disclose its TAO holdings and related infrastructure income in monthly unaudited updates.Keld van Schreven, Managing Director and Co-Founder of KR1, stated: "As artificial intelligence enables more complex tasks to be performed by software, the demand for infrastructure related to supply-side intelligence is expected to grow significantly. Bittensor introduces open competition for the supply of AI services, and the company is focused on how its incentives are forming services that lead to continuous customer payments, as well as how to deploy TAO holdings to enhance the value and income potential of productive digital assets per share." KR1 claims to be the only publicly listed company on the main board of the London Stock Exchange that focuses on on-chain infrastructure, holding and operating productive digital assets on the relevant network.

Bank of Beijing launches a tender for digital RMB business, involving security infrastructure such as firewalls and encryption machines

According to the Digital Currency Research Society, on October 27, Beijing Bank released a public tender announcement for the procurement project of firewall equipment for digital currency business in 2026 through the official centralized procurement management system. Along with the previously announced procurement projects for IPS, encryption machines, WAF, SSL, signature devices, etc., the bank has officially launched a centralized upgrade of the full-chain security infrastructure for digital renminbi business, covering core security nodes such as intrusion defense, encrypted transmission, web application protection, and identity signing.In April of this year, Beijing Bank became a newly added operational institution for digital renminbi business and connected to the central bank's digital renminbi system. In August, the central bank added 8 more operational institutions, expanding the total to 30. Previously, several newly added operational institutions, such as Huishang Bank, Hangzhou Bank, and Guangxi Beibu Gulf Bank, had initiated tenders for core digital currency systems worth tens of millions. The report pointed out that Beijing Bank's inclusion of various security devices such as firewalls and encryption machines in centralized procurement is a proactive security layout to adapt to the new features of digital renminbi, such as high-concurrency transactions and programmable smart contracts.

first_img Tiger Research: Predicting that the market is becoming a macro data infrastructure

Research institution Tiger Research researcher Ryan Yoon released the final report of the prediction market series, discussing whether prediction markets have practical utility. The report states that participants bear the judgment results with funds, and prices are updated in real-time with new information, forming probability distributions comparable to traditional polls, expert surveys, and economic forecasts; prediction markets have expanded from sports and election predictions to macroeconomic and geopolitical data infrastructure.The report lists that Google Finance, CNBC, CNN, and The Wall Street Journal have displayed prediction market probabilities, and the parent company of the New York Stock Exchange, Intercontinental Exchange, along with the electronic bond trading platform Tradeweb, distributes relevant data to institutional clients. A working paper from the Federal Reserve Board describes the prediction market Kalshi as a high-frequency, continuously updated benchmark with rich information distribution. The paper states that Kalshi's median and mode predictions for the federal funds rate recorded perfectly the day before the FOMC meeting and significantly outperformed federal funds futures during that period; compared to Bloomberg consensus, it is more accurate for overall CPI and statistically similar for core CPI and unemployment rate.The report also cites research from the Iowa Electronic Markets: in five U.S. presidential elections from 1988 to 2004, and in a comparison of 964 polls, it was more accurate in 74% of cases; the average voting share error one week before the election was 1.5 percentage points, lower than Gallup's final poll of 2.1 percentage points. The report suggests that the platform needs to deepen liquidity to resist manipulation, communicate with regulatory agencies, and position itself as a monitoring tool while maintaining open transparency and data supported by independent research.
app_icon
ChainCatcher Building the Web3 world with innovations.