Banks think they have an AI problem. They actually have a data plumbing problem.
Databricks dropped the thesis at CBA Live 2026 in San Diego today: frontier models are cheap and abundant now. The bottleneck isn't Claude or GPT. It's legacy data silos, batch ETL pipelines running overnight, and governance frameworks held together with duct tape. Real-time personalization, fraud detection, and agent-driven workflows all require low-latency data access and unified governance—capabilities that spreadsheet-and-Hadoop shops simply don't have. Banks don't need better AI. They need lakehouse architecture.
🚀 NVIDIA's Lyra 2.0 turns single images into explorable 3D worlds.
Lyra 2.0 is Apache 2.0 licensed and ships now—a video diffusion model that generates persistent 3D scenes from one input photo. The trick: self-augmented training on geometry tracking. No more static renders. You get navigable environments. For game studios, VFX pipelines, and metaverse tooling, this cuts iteration cycles from weeks to hours. Open source and commercial-grade.
🛠️ Databricks just shipped a Google Sheets connector that pulls live lakehouse data.
New Databricks Connector for Google Sheets eliminates the stale-data trap: end users can now query governed, real-time lakehouse data directly from cells, with automatic scheduled refreshes and granular row-level access control. No more CSV dumps. No more “this report is three days old.” For analytics teams suffocating under manual data delivery, this is table-stakes.
🔬 Elastic Looped Transformers (ELT) cut deep models in half without losing accuracy.
ELT reuses the same transformer block across iterations instead of stacking unique layers—think weight-sharing on steroids. Result: 50% fewer parameters, same benchmark performance. TheSequence flagged this as a quiet architectural shift that makes frontier models more efficient to fine-tune and deploy. For edge inference and cost-conscious labs, this matters.
🤖 Simon Willison reverse-engineered Claude's system prompt and found agentic surprises.
Willison's teardown reveals Claude Platform now ships with Slides Agent capabilities built into the base model—Claude can now programmatically create and edit presentations. No separate tool calls. It's native. The implication: Model Context Protocol (MCP) is quietly becoming the plumbing layer for all agent integrations.
🏗️ Huawei Ascend is building a parallel AI stack outside CUDA's reach.
Exponential View mapped Huawei's ecosystem strategy: Ascend is no longer a niche chip. It's a full software stack—compilers, libraries, training frameworks—designed to absorb Chinese AI workloads without touching Nvidia. US export controls are accelerating a bifurcated compute future. For infrastructure planners outside the US, this is no longer theoretical.
Still no Gemini 3.5 from Google. Claude's iteration cadence is visible; Google's is opaque again.
That's the brief. Full pages linked above. See you tomorrow.