Anthropic is acquiring @stainlessapi, an SDK and MCP server platform that has powered every Anthropic SDK since the earliest days of our API. Read more: anthropic.com/news/anthropic…

1/ Today we launch the @Felicis Forecast. It's our map of the changes that defy neat categorization but matter most to what’s next. Where AI’s potential cuts across industries to collide with consumer, organizational, and socio-economic fault lines. Where the old structures have ruptured, and new ones are just coming into view. Because even to people like us – generalists who’ve spent the past 20 years studying change – this moment feels different. Everything’s up for grabs. Rules, tidy bell curves, and comfortable patterns no longer apply. So instead of following patterns, we forecast: 9 themes we just can’t get out of our heads, that seem to pop up everywhere once you notice them. ordnl.link/Vyjrzep

We’re excited to announce our partnership with Thomson Reuters, a collaboration focused on unlocking the full potential of proprietary data to build the next generation of domain-specific AI. By applying DatologyAI’s data curation pipeline for legal domain adaptation mid-training, the results were clear: - 5% improvement on legal benchmarks and 2.5% on general-purpose evaluations after mid-training - >2.5x amplification in post-training gains on Thomson Reuters’ private legal evals - Achieved with <1% of the original pre-training token budget These gains demonstrate that better data doesn’t just improve models, but multiplies the effectiveness of everything built on top of them. As @schwarzjn_ , Head of AI Research at Thomson Reuters, put it: “DatologyAI delivered clear, measurable improvements across both public and our proprietary legal evaluations…demonstrating the strength and generalizability of their approach.” This partnership shows what’s possible when proprietary data and advanced data curation come together — not just incremental gains, but compounding advantages across the entire model lifecycle. We’re excited to continue building with Thomson Reuters to push the boundaries of domain AI. #AI #MachineLearning #LegalTech #DataCuration #Partnerships

Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own.