OpenAI and Microsoft
OpenAI announced it will run most of its large-scale model training experiments on Microsoft Azure.
OpenAI News·15 Nov 2016
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OpenAI announced it will run most of its large-scale model training experiments on Microsoft Azure.
OpenAI research on semi-supervised knowledge transfer aims to improve model performance by leveraging private data without direct exposure.
OpenAI hosted its first self-organizing machine learning conference with 150+ practitioners, aiming to foster community-driven research.
OpenAI highlights the importance of deep learning infrastructure and claims open-source ecosystems enable anyone to build robust systems.
OpenAI, Google Brain, Berkeley, and Stanford co-authored a paper on 'Concrete Problems in AI Safety,' outlining research challenges for safe ML system operation.
OpenAI releases public beta of Gym, a toolkit with environments for developing and comparing reinforcement learning algorithms.
OpenAI research on weight normalization could accelerate deep neural network training; specific impact on large models or G-SIB use cases not detailed.
Deutsche Bank outlines its 'trust by design' framework for responsible AI deployment and risk management.
Finextra explores how financial institutions combat complex trade-based financial crime using AI and portable trust concepts.
Google Developers Blog research on 913,000 coding agent sessions shows inline comments trigger unprompted agent detours in 6% of cases.
A sharp sell-off in AI-linked stocks caused the S&P 500 to drop 4.4% in its worst decline since April 2025.
Deutsche Bank Private Bank has launched an AI Academy aimed at upskilling over 20,000 employees globally.
Brookings commentary analyzes market consolidation dynamics where an AI investment downturn concentrates power among dominant tech firms.
Sequoia Capital profiles Edelbyte, highlighting a data platform designed to handle high-frequency queries from AI agents.
Google Developers details using low-cost classifiers to route agent prompts across Gemini models and reasoning levels to reduce total cost.
Finextra explores how the European payments ecosystem will adapt as agentic commerce moves from experimentation to adoption.
Cisco reported giving an engineer an unlimited AI token budget to attempt rewriting 98% of its legacy code over two years.
BNY published an overview on leveraging predictive and agentic AI to improve efficiency and risk oversight in depositary services.
BNY reports that Asia-Pacific financial institutions are adopting instant payments and shifting toward always-on treasury operations.
The OCC issued application submission guidance and waiver details regarding the GENIUS Act.
Alphabet shares fell as investors questioned returns on heavy artificial intelligence spending.
A Brookings study explores potential AI taxation frameworks and their economic impact on automation and corporate fiscal policy.
Google outlines an Agents CLI evaluation loop for systematic agent testing, prompt regression tracking, and backend trace comparisons.
Google Play services introduces GPU inference via LiteRT and ML Drift, cutting app sizes and speeding up on-device mobile execution.
Google's A2UI introduces swappable inference formats and A2UI Express to reduce token usage and latency for UI generation.
Commonwealth Bank estimates Australia's data centre pipeline could reach $260bn by the mid-2030s, subject to power and policy limits.
Kin Insurance enabled WebMCP, allowing consumers to shop for home insurance via ChatGPT's digital agent interface.
BNY published an analysis examining how capital expenditure for AI investment could impact global credit markets and corporate borrowing.
BNY published an analysis examining how artificial intelligence investment may influence global credit markets.
BNY published an analysis examining how massive capital expenditure in AI infrastructure could impact global credit markets.