4 generations of autonomous vehicles. In 2019 I was at CMU. 2007 DARPA urban challenge winning car was brought on campus alongside an Argo AI vehicle, which looked more polished. Fast forward, AVs are actually on road. Cybercab looks more polished and advanced than a Waymo.

Financial work depends on trustworthy sources, consistent definitions, accurate calculations and auditable outputs. Introducing Ling-3.0-flash-Fin, a finance-enhanced version of Ling-3.0-flash, developed with financial institutions and domain experts. With 124B total and 5.1B active parameters, it supports information retrieval, research, valuation modeling and report preparation across long reports, research materials and complex workbooks. The model showed competitive results across FinFIRST, FinSearchComp Verified, FinCRAFT, FinanceAgent v1.1/v2, APEX-Agents, SpreadsheetBench v1/v2 and τ³-Banking. We will open-source the model weights next week.

Most analysts say L2s have no chance. I beg to differ. There is one that's growing fast against the odds. @MorphNetwork Pivoted to payments. Onboarded native USDC and then Morpho. Launched a payments platform to accept stablecoins and send payouts. And now deposits on Morpho rank #6# and well above established L1s. It's not about L2s vs L1s. It's about grit, strategy and relentless finding a way that works. That determines a startup's success.

According to Artificial Analysis, Ling-3.0-tiny sits on the mobile intelligence–speed Pareto frontier: 59 at 16K and 5.7s on iPhone 17 Pro. It also ranks first in the 64K intelligence evaluation with a score of 66. Bringing stronger intelligence to smaller devices.