MIT Tech Review
AI needs a strong data fabric to deliver business value
AI adoption is accelerating fast, with half of companies now running AI across at least three business functions. But scaling from pilot projects to enterprise-wide deployment exposes a critical weakness: fragmented, siloed data that prevents AI systems from delivering consistent, reliable results. A robust data fabric — unified infrastructure that connects disparate data sources — is emerging as the essential foundation organizations need to turn AI ambition into measurable business value.
Read article →TechCrunch
Meta will record employees’ keystrokes and use it to train its AI models
Meta is harvesting behavioral data from its own employees, capturing keystrokes and mouse movements to feed its AI training pipeline. The move signals a push to source high-quality interaction data from controlled, internal environments rather than relying solely on public datasets. It raises immediate questions about workplace surveillance and the increasingly blurred line between employee activity and corporate AI asset.
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The Verge
Anthropic’s most dangerous AI model just fell into the wrong hands
Anthropic's most restricted AI model, Mythos — a cybersecurity tool the company itself flagged as potentially dangerous — has been accessed by unauthorized users through a breach involving a third-party contractor. Members of a private online forum exploited the contractor's credentials alongside standard open-source intelligence techniques to gain entry. The incident raises urgent questions about third-party access controls at AI labs developing frontier models with real-world security implications.
Read article →Hacker News
Meta employees are up in arms over a mandatory program to train AI on their
Meta has introduced a mandatory internal program that tracks employee activity to train its AI systems, drawing significant pushback from staff. Workers are raising concerns about privacy and the ethics of using their workplace behavior as machine learning fodder without meaningful consent. The move highlights growing tension between Big Tech's AI ambitions and the rights of the very employees building those systems.
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