Uber, Meta, Amazon cap employee AI usage amid rising costs

Tania Duarte and Catherine Breslin / Better Images of AI / CC BY 4.0 In this blog post, Laura Martinez Agudelo builds upon her research of visual representations of ecology and digitalisation to explore how “AI eco-imagery” is portrayed. Martinez Agudelo introduces five “eco-digital” visual narratives from her recent paper – including the Earth as […]

HIVE shares rose after BUZZ HPC signed a $220M AI cloud deal with Bell and Cohere, adding sovereign GPU capacity in Canada.

For many developers, the hard part of building an AI application isn’t the model anymore. It’s keeping the application’s knowledge current. Retrieval-augmented generation (RAG) has become a popular technique for grounding AI applications in enterprise data, but it also introduces a steady stream of operational work, including tasks such as updating embeddings and indexes, synchronizing data sources, and tuning retrieval performance. AWS is seeking to remove much of that burden with Bedrock Managed Knowledge Base, a new managed service that automates the retrieval layer behind enterprise AI applications. “By default, the service automatically selects and manages a default embeddings model, re-ranker model, and foundational model on your behalf, so you can get up to speed quickly without needing to pick or maintain one yourself,” Daniel Abib, senior solutions architect at AWS, wrote in a blog post. In order to help maintain data pipelines without building and managing custom integrations

Meta’s long-awaited Pyrefly linter is out in a 1.0 version, and the forthcoming Python 3.15 has a super-efficient sampling profiler. Plus we have a comprehensive rundown of Python’s indispensable virtual environments — and a warning about a novel breed of malware that exploits Python’s package ecosystem. Top picks for Python readers on InfoWorld How to use virtual environments in Python Isolate and protect your Python projects from each other, and empower them to do more, with virtual environments and their native-to-Python tooling. Pyrefly 1.0: A fast, forward-looking Python linter The first full release of Meta’s long-awaited linting and type checking tool for Python delivers speed and offers advanced features for type-checking PyTorch and Django projects. Hands-on with the new sampling profiler in Python 3.15 Among Python 3.15’s best new features is a sampling profiler, for instrumenting your code and finding its bottlenecks with a minimum of performance impact or fuss. See up-close

With the waitlist now closed, 3Commas has launched QuantPilot to the public as an end-to-end platform for AI-assisted trading strategy development. The platform gives users one environment for market research, backtesting, strategy optimization, and planned live execution.

By James Tuke, AI Futures Forum. Over the last twelve months, the AI conversation in the legal profession has shifted significantly. In May 2025, we ...

Meta’s USDC pilot runs on Polygon and Solana for creators in Colombia and the Philippines, with expansion reported to 160+ markets. Off-ramps remain the chokepoint.

Intel's strategic focus on advanced packaging under Lee's leadership could significantly enhance its competitiveness in AI and high-performance computing markets. The post Intel taps Seok-Hee Lee to lead foundry packaging initiative appeared first on Crypto Briefing.