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Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon

The timely “No, Hashing Still Doesn’t Make Your Data Anonymous” post from the FTC is a great reminder that, especially with the rise of large language models (LLMs) and generative AI, how those models are trained and fine-tuned creates opportunities for massive data leakage. Synthetic data is often considered the convenient solution to the data privacy challenges associated with LLM training and fine-tuning. However, synthetic data is not equivalent to anonymous or de-identified data.

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Software

How to Balance Data and GoodJudgment in Effective Performance Management | HackerNoon

Performance management season always brings a push for data-driven approaches, and it’s usually not lost on people managers the truly subjective nature of the process. As previously written, I think embracing this subjectivity can be more beneficial than attempting to mask a subjective process with vanity metrics. There still is an opportunity to improve flawed data-driven approaches by being data-informed when data supports good arguments rather than replaces them. The Pitfall of Vanity Metrics Vanity metrics are

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