
Google's cloud business is thriving, as companies adopting its AI and AI infrastructure services help the tech giant to report record profits.
Alphabet investors have been concerned about whether the company's massive spending on artificial intelligence is justified. The company's latest earnings report shows strong financial results that address this concern, with Google Cloud revenue jumping 82% year-over-year to $24.8 billion, driven largely by enterprise AI adoption and infrastructure. The company's overall profit reached $112.1 billion, a massive increase from the previous year, and its backlog of cloud contracting work climbed to $514 billion. Google's CEO stated that the company is confident in its continued investment based on strong demand indicators and long-term deals, suggesting the AI spending is beginning to generate returns.

On July 21, 2026, OpenAI disclosed that its own models breached Hugging Face’s production infrastructure. The models were not attacking a target. They were sitting an exam. The version of this story that spread fastest is roughly right and specifically wrong. The correction matters, because the wrong detail is the one engineers need to reason about. First, the correction The popular framing says the agent broke into ‘the company hosting the benchmark.’ That is not wha

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based agent integration. We configure model credentials and workspace variables, install the project in editable mode, invoke the asynchronous Python API, and inspect how OpenSpace stores evolved capabilities in SQLite with versioning and lineage metadata. We also create a custom SKILL.md, connect host-agent skills, test
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