Key developments: Publishers are demanding formal licensing for AI training data, echoed by court rulings that treat AI training under traditional fair‑use analysis, such as the Third Circuit decision that Westlaw headnotes are copyrighted and ROSS’s use was…
Continue reading Global Push for AI Copyright Licensing Gains MomentumIn 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 traces, and persona‑conditioned generation driving most fine‑tuning pipelines. This shift means…
Continue reading Synthetic Data Becomes Mainstay for Specialized LLM Training, But Collapse Risks Prompt New SafeguardsIn 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. Every modern open‑weight instruct model and most production‑tuned rerankers now train…
Continue reading Synthetic Data Becomes Default Supervision for Specialized LLMs, but Model Collapse LoomsKey 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 infringed copyright. The court applied the traditional four‑factor fair‑use…
Continue reading Third Circuit Rules Westlaw Headnotes Copyrighted, AI Training Not Fair UseThe 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 satisfy the fair‑use test. The court applied the traditional…
Continue reading Third Circuit Rules Westlaw Headnotes Copyrighted, AI Training Not Fair UseRecent 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 carbon footprint. In response, researchers have unveiled several energy‑saving innovations.…
Continue reading AI’s Energy Surge Spurs Breakthroughs in Green ComputingKey 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 titles such as The New York Times, The Atlantic, The Economist…
Continue reading Major Publisher Coalition Expands to 80 Members, Pushing New AI Content‑Use StandardsA 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 curb the sector’s appetite for electricity, which now accounts for…
Continue reading New AI breakthroughs slash energy use, but climate concerns persistKey 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 plants to generate the electricity they need. Meta disclosed that…
Continue reading AI’s Hidden Water Footprint Swells as Power‑Intensive Data Centers GrowKey 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 plants. Meta’s 2024 report shows 96% of its 21 billion gallons…
Continue reading AI Data Centers Shift Water Use From Sites to Power Plants, Driving Massive Indirect Consumption
