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In 2026, synthetic data generated by large language models (LLMs) has become the default supervision source for specialized model training, with techniques such as Self‑Instruct, Evol‑Instruct, distillation …

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In 2026, synthetic data generated by large language models (LLMs) has become the default supervision source for specialized model training, with techniques such as Self‑Instruct, Evol‑Instruct, distillation …

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In 2026, synthetic data—training data generated by an LLM rather than authored by a human—has become the default supervision source for almost every specialized model being fine‑tuned. …

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Key developments: The Third Circuit affirmed that Westlaw’s editorial headnotes are protectable original works and that ROSS Intelligence’s copying of roughly 2,200 headnotes to train its AI‑powered legal‑research platform …

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The Third Circuit affirmed that Westlaw’s editorial headnotes qualify for copyright protection and that ROSS Intelligence’s copying of those headnotes to train its competing legal‑research AI platform does not …

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Recent reports show that AI data centers are consuming a massive and rapidly growing share of global electricity—over 10% of U.S. power use alone—fueling concerns about a looming …

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Key developments: The coalition of news publishers known as SPUR (Standards for Publisher Usage Rights) has surged past 80 members across more than 20 countries, adding high‑profile …

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A series of recent breakthroughs promise to dramatically cut the power hungry nature of artificial‑intelligence workloads. In early April researchers announced a "radically more efficient approach" that could …

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Key developments: Recent research shows that the vast majority of water used by AI data centers is not the on‑site cooling water but the water consumed at power …

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Key developments: Researchers and companies are highlighting that while newer cooling technologies dramatically cut onsite water use, the surge in electricity demand pushes water consumption upstream to power …

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Key developments: