agent2agent distribution to have more bespoke coverage etc to match real time risk profiles; customer lifetimes potentially collapsing. personal agents having better understanding of policyholder risk profiles and reversing data advantage on the insurance cos.
insurance about to be incredibly disrupted w/ personal agents reducing friction to churn off policies. pinging carrier apis, retention discounts etc and micro negotiations.
now policyholders are active shoppers 24/7 for insurance… match rate or lose customers.
“Chinese quant fund Ubiquant unveils code LLMs, rivals OpenAI”
“Beijing-based Ubiquant has announced a family of open-source, code-focused large language models (LLMs) that it says rival leading US systems in benchmark tests.
Ubiquant, one of China’s largest quantitative trading funds, reported that its IQuest-Coder-V1 models performed on par with or better than OpenAI’s GPT-5.1, and Anthropic’s Claude Sonnet 4.5, in several programming benchmarks, despite having fewer parameters…”
https://t.co/aWI08e7ser
2026: A new AI lab out of China claims 81.4% on SWE-Bench-V and 54.2% on BigCodeBench with a 40B coding LLM.
IQuest Labs, like DeepSeek, comes from a quant fund Ubiquant in China with $8B AUM.
Jian Yang, the leading contributor, seems to have been on the Qwen2/3 team as well!
Every investor wants to talk women’s sports now.
Six years ago, most wouldn’t return the email.
That’s the difference between conviction and consensus.