This Week I Learned - Week 34 2026
This Week I Learned - * Thomson Reuters launched its proprietary LLM "Thomson" built on Alibaba's open-source Qwen model, investing $40 million over two years with a final training run costing $450,000 using its legal data from Westlaw and Practical Law. This approach highlights how enterprises with strong proprietary datasets can efficiently create customized AI, pressuring premium API revenue models of companies like Anthropic by demonstrating viable lower-cost alternatives. * Large language models are called “stochastic parrots” as they do not truly understand language or the world. LLMs are extremely good at statistically mimicking patterns from the massive amounts of text they were trained on. They can produce fluent, coherent-sounding text that looks intelligent but are essentially “parroting” (repeating and recombining) patterns without genuine comprehension, reasoning, or grounded knowledge. * All stochastic processes are non-deterministic because randomness me...