The Latest in AI Marketing & Sales Tech
Real updates, not press releases. We track emerging AI trends, new product features, and research that shapes the future of business automation.

At MIT, a continued commitment to understanding intelligence: MIT Quest for Intelligence initiative
MIT has expanded and renamed its central research effort on understanding natural and artificial intelligence, pairing long-horizon science with shared infrastructure and industry collaboration to accelerate real-world impact.

AI-assisted 3D printing personalization for durable, everyday products
MIT researchers are pairing generative design with materials and sensing advances to make personalized 3D-printed objects that keep their fit, function, and reliability in real-world use. The approach centers on Style2Fab for safe restyling, a dual-mode resin for complex, durable parts with dissolvable supports, and embedded sensing for interactive devices.

CEOs of NVIDIA and Lilly Share ‘Blueprint for What Is Possible’ in AI and Drug Discovery: NVIDIA Lilly AI lab for drug discovery
NVIDIA and Eli Lilly plan to invest up to $1 billion over five years to launch a co‑innovation AI lab in the Bay Area, combining BioNeMo, Lilly’s AI supercomputer, and automated wet/dry labs to re‑engineer drug discovery.

Roblox AI Age Verification Problems: Safety, Accuracy, Workarounds
Roblox is rolling out AI-based age checks to wall off minors from unknown adults—but misclassifications, easy bypasses, and opaque metrics are undermining the safety goal and creating new risks for creators and businesses.

AI’s Next Revolution: Robotic Cell Therapy Manufacturing Moves From Pilot to Production
Multiply Labs is bringing modular, robotics-driven automation to cell and gene therapy manufacturing. Peer‑reviewed data shows automated T cell expansion can match manual quality while cutting costs and boosting throughput.

OpenAI Contractor Data Uploads: What Businesses Need to Know Now
If contractors are asked to upload past work to evaluate AI agents, OpenAI’s own agreements and privacy policies define strict confidentiality rules—and highlight real risks around data lineage, consent, and retention.
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