Lookonchain APP

App Store

Fed Governor Logan: The U.S. Federal Reserve needs at least two more interest rate hikes, totaling 50 basis points.

2 hours ago

Dallas Federal Reserve President Logan said Friday that under the current economic outlook, the U.S. Federal Reserve needs at least two more 25-basis-point interest rate hikes, totaling 50 basis points in policy rate increases, before pausing to assess economic and financial conditions for its next steps. This week, Logan was part of the Fed’s 10-2 voting majority, supporting keeping the federal funds target rate range at 3.75%–4.00%. She noted that current inflation still requires further curbing, with the policy rate needing to rise by at least another 50 basis points to sufficiently constrain the economy and push inflation back to the 2% target. Logan pointed out that tech investment prospects and geopolitical tensions are driving financial market volatility; in this context, gradual policy adjustments help households, businesses, and market participants adapt to higher interest rates, reducing the risk of unnecessary sharp deterioration in economic activity. She also emphasized that the Fed should clearly communicate its policy goals — a stance that differs from Fed Chair Walsh’s view that such policy guidance should only be provided during crisis periods. Logan added that the current financial environment still supports economic growth, and the rise in long-term borrowing costs mainly reflects investors’ expectations of economic expansion and higher interest rates, rather than a separate factor weighing on the economy. Even if the Fed skips a rate hike at a single meeting, it will not alter its ultimate policy target; as long as the market understands the Fed’s policy plan, the specific timing of rate hikes has a limited impact on long-term interest rates paid by borrowers.

Relevant content

Factory Acquires Typedef: Ensures Coding Agents Identify Impact Before Modifying Data

Beating AI Insight News Flash: Factory has announced the acquisition of data infrastructure startup Typedef, with plans to integrate Typedef’s data context technology into its Coding Agent Droid. Typedef can analyze data engineering code such as SQL, and map dependencies between database fields, data processing workflows, and downstream reports. For example, modifying a database association field may let the program run normally, but cause double-counted revenue in financial statements. Typedef helps AI proactively identify such cascading impacts and trace the root cause when data errors occur. In its in-house data engineering tests, Typedef previously found that adding this context technology boosted the agent’s task success rate from 46.4% to 81.5%.

8 minutes ago

Binance hackers' sell-off has created arbitrage opportunities, with Titan Builder’s 24-hour revenue once surpassing Tether’s.

According to DefiLlama data, Ethereum block builder Titan Builder’s revenue surged to $22.83 million over the past 24 hours, surpassing Tether’s $16.99 million. Titan Builder is a neutral block builder on Ethereum, tasked with integrating public transactions, private transaction bundles, and MEV opportunities submitted by searchers, and winning block construction rights through bidding. During the Binance hack, attackers dumped stolen assets en masse on Ethereum, triggering sharp price dislocations that generated massive arbitrage and MEV opportunities. Leveraging its advantages in searcher order flow and block construction algorithms, Titan Builder secured more high-value block construction rights, capturing significant MEV gains and driving its short-term revenue spike.

8 minutes ago

A crypto whale unstaked 304,600 HYPE tokens, valued at approximately $27.19 million.

According to OnchainLens monitoring, a large crypto whale that previously purchased HYPE from Galaxy Digital has unstaked 304,620 HYPE tokens after around three months of inactivity. The holdings are valued at approximately $27.19 million at current prices. The associated wallet address is 0x82F973A90fF607BF78BF6Ec4E93FeFE41d4521d8. It remains unclear whether this unstaking signals an upcoming sale.

8 minutes ago

Xiaomi has open-sourced an 800 million-parameter OCR model that can read complex tables, extract information, and answer questions.

Beating AI Insight News Brief: Xiaomi has open-sourced Xiaomi-OCR-0, an 800-million-parameter model capable of three core tasks: converting text, complex tables, and mathematical formulas in documents into editable content; extracting specified fields from invoices, receipts, and certificates and outputting them in JSON format; and answering questions based on document and chart information, going beyond basic image text transcription. The model is fine-tuned on Alibaba’s Qwen3.5-0.8B, trained with roughly 170 million OCR and document understanding samples. To enhance data quality, Xiaomi had multiple OCR models cross-verify recognition results. For complex tables and formulas, the team re-renders recognition outputs into images and compares them with originals to catch issues like misalignment and missing characters. Training was conducted in phases: first mastering text recognition and layout parsing, then adding tasks including information extraction and visual question answering (VQA). In five OCR VQA tests released by Xiaomi, Xiaomi-OCR-0 notched an average score of 83.2, outperforming Qwen3.5-2B (80.9) — a model with 2.5 times more parameters — and approaching the 84.9 score of the 4B-parameter model. In the Real5 document parsing test, which simulates interferences such as scanning artifacts, paper warping, and screen photo capture, the model scored 95.24 when paired with an external layout detector. Currently, the model weights, inference code, MCP service, and Agent Skill are all open-sourced. Developers can integrate Xiaomi-OCR-0 into AI Agents to process screenshots, PDFs, and invoices, extracting data that can be directly processed by other applications.

8 minutes ago

Hifi DAO hit by governance attack; team estimates ~$20k in losses, orders users to immediately withdraw their collateral.

Hifi Finance has issued a statement disclosing that its Hifi DAO suffered a governance takeover attack, leaving HIFI token holders effectively unable to control the protocol, its governance smart contracts, or the HIFI token supply. The team is urging all users who have deposited collateral in the Hifi Protocol to withdraw their funds immediately, and specifically demands controllers of two relevant addresses to withdraw WETH from the protocol. Hifi Finance noted that its core team failed to detect and prevent the governance attack in a timely manner, and takes full responsibility for the incident. Measures have now been implemented to significantly limit the attack’s scope. The final loss amount has not yet been determined, though preliminary estimates place it at roughly $20,000. The DAO holds sufficient funds to compensate all affected parties; its own liquidity has been permanently withdrawn from decentralized exchanges. Additionally, all outstanding debts collateralized by real-world assets (RWA) will be directly managed by the core team, no longer processed via the compromised smart contracts. These debts remain sufficiently capitalized and are expected to be fully repaid by their original maturity date of March 26, 2027, with no new debt issued by the protocol moving forward. The team stated that a full investigation report will be released at a later date.

8 minutes ago

A certain whale added 9,375 ETH to its holdings at an average price of $2,264.

According to EmberCN’s monitoring, a crypto whale spent 17.24 million USDC to acquire 7,703.2 ETH at a unit price of $2,237.6 nine hours ago. Combined with the 1,671 ETH the same whale purchased from centralized exchanges half a month prior, its total ETH purchases amount to 9,375.6 ETH, with a total investment of approximately $21.23 million and an average acquisition cost of around $2,264.

8 minutes ago

Popular tokens

BitcoinEthereumHyperliquidSolanaTRONBNBTetherAaveXRPPepeFartcoinOndoJupiterUniswapBonkPendleEthenaArbitrumAvalancheLidoChainlinkPolygonDogecoinCardano