Schwarzman says he found the AI revolution 'by accident' in 2015

Databricks blog post argues enterprise AI adoption discussions have centered on a different story for the past two years, and reframes the conversation around cost management. The post is filed under Databricks' "Data + AI Foundations" category.

Letta released FrontierMemory on Wednesday, measuring whether agents can apply past experience to improve later work rather than just recall it. Five AI agent harnesses took the test and the results diverged sharply.

Databricks blog describes a fraud-analyst AI coworker that detects telecom fraud in real time on a single platform, citing the Communications Fraud Control Association's 2025 survey as background.

Public beta runs on NVIDIA GPUs on Microsoft Azure, extending hardware-backed isolation to GPU memory and encrypting CPU-GPU traffic during inference. Remote attestation lets customers verify signed evidence of hardware, firmware, and software config before sending plaintext.

Google Cloud's reference architecture, codenamed Project Chrysalis, cut time-to-first-mitigation from 15–45 minutes to 1.8 seconds in simulated Black Friday cache-stampede outages. It also dropped HTTP 5xx error rates from 72.7–80.0% to 0.0% and P99 latency from 519.8 ms.

Anthropic's Applied AI team says a single agent with skills often outperformed both one-prompt-for-everything and subagent designs on quality, usually at lower cost and latency per task. One company's dozen specialist subagents hurt on-brand consistency and added latency; a migration kit helps identify foldable patterns.

On Meta's Q3 earnings call, Zuckerberg said he sees "billions" of people using Muse, the personal AI agent released to the public last month, with users' Muses transacting with each other in a "large-scale Muse network." He predicted Muse will eventually generate more revenue per user than Instagram and Facebook.