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Related Articles from SNS
Cost of Manipulation in AMM-Based Oracles
arXiv:2606.03548v1 Announce Type: new Abstract: We study the robustness of AMM-based on-chain price oracles to strategic manipulation. An attacker trades against constant product automated market makers (CPMMs) to distort an on-chain oracle, arbitrageurs restore cross-pool and cross-venue consistency, and an oracle designer chooses how to aggregate pool quotes. Taking an efficient-market-hypothesis (EMH) view of the off-chain "true" price, we define the \emph{cost of manipulation} as the...
Arm says ByteDance, Oracle use its data centre CPU chips
Arm says ByteDance, Oracle use its data centre CPU chips TAIPEI, June 2 : Chinese tech company ByteDance and U.S. data centre firm Oracle are among the customers of Arm's AI data centre chips, the head of the chip designing firm said on Tuesday. Speaking at the annual Computex conference in Taipei, Arm CEO Rene Haas said ByteDance and Oracle are customers of AGI central processing units (CPUs).
The Dodona Protocol: A Living Design Science Experiment in Oracle Design
arXiv:2606.08012v1 Announce Type: new Abstract: The oracle problem, broadly understood as the difficulty of reliably incorporating external information into blockchain-based systems, has been widely examined by scholars and practitioners. Recent comparative research has shown that several challenges of modern blockchain oracles, including attributability, accountability, integrity, and query design, mirror procedural and epistemic constraints already present in ancient oracular institutions...
Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution
Announce Type: new Abstract: Prediction markets aggregate collective intelligence to forecast uncertain events, but their utility depends on reliable outcome resolution. Existing oracle systems tradeoff fast but brittle automation against accurate but costly human arbitration. Single-LLM oracles achieve meaningful accuracy but inherit all failure modes of their underlying model with no self-correction mechanism.
Oracle founder Larry Ellison loses more than $47 billion in less than 7 days
Larry Ellison has lost more than $47 billion in personal wealth in less than a week as shares of Oracle continued to fall ahead of the company's earnings report. Ellison's fortune dropped from about $296 billion last Tuesday, June 2 to around $249.7 billion, according to Forbes' Real-Time Billionaires List. The fall comes as investors pull back from technology and AI-related stocks, leading to a broader selloff across the sector.
Security of the Fischlin Transform in Quantum Random Oracle Model
arXiv:2602.17307v2 Announce Type: replace Abstract: The Fischlin transform yields non-interactive zero-knowledge proofs with straight-line extractability in the classical random oracle model. This is done by forcing a prover to generate multiple accepting transcripts through a proof-of-work mechanism. Whether the Fischlin transform is straight-line extractable against quantum adversaries has remained open due to the difficulty of reasoning about the likelihood of query transcripts in the...
'Warned these guys': US scientist hits back at Oracle's Larry Ellison on AI's big problem
American scientist Gary Marcus isn't letting Larry Ellison have his moment. When the Oracle founder recently argued that AI models from OpenAI, Google, Meta, and xAI are all turning into commodities because they train on the same public internet data, Marcus pounced. His message, posted on X, was blunt: he called this exact outcome two years ago, and Silicon Valley simply wasn't listening.
Capita £370M bid 40% under UK.gov estimate for Oracle HR and finance system project, court case reveals
A new court filing has revealed the UK’s Department for Work and Pensions accepted a bid from Capita to run its new Oracle-based HR and finance system at £272 million less than its own cost modelling. In March, the UK outsourcing company won the contract for running shared services for £370 million over ten years. The central government department had earlier produced a "Should Cost Model" — designed to protect against a bias towards low bids — which provided a total price of £642 million,...
ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification
Announce Type: new Abstract: Abdominal CT disease classification is challenging because each scan is a large 3D volume with many possible findings, while diagnostic evidence is often confined to specific organs or anatomical compartments. Most study-level classifiers aggregate encoder features using anatomy-agnostic pooling or attention, creating a mismatch between localized disease evidence and global evidence aggregation. We propose ORACLE--CT, an encoder-agnostic anatomy-aware aggregation...
Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity
Announce Type: cross Abstract: Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidelity is tunable: higher-accuracy queries reduce noise but incur higher computational costs. To capture this trade-off, we study an accuracy-aware wall-clock model where each query with fidelity $\delta$ has a cost $c(\delta)$, and we minimize the total time $T_{\mathrm{total}} =...