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.
Blackwell GPU inference cost reductions: How providers are cutting token costs by up to 10x
Inference platforms are reporting steep cost-per-token drops by pairing open-source models with NVIDIA’s Blackwell generation, with GB200 NVL72 systems and NVFP4 driving efficiency. Case studies from DeepInfra and Decagon illustrate the savings and performance now achievable.
CBP Clearview partnership: Facial recognition deal raises operational and legal questions
CBP is reportedly integrating Clearview AI’s scraped facial recognition database into its intelligence workflows for “tactical targeting,” extending capabilities that already fuse photos with travel and enforcement records. The move sharpens debates over privacy, legality, and oversight across border and domestic surveillance.
How AI and Synthetic Biology Enable Programmable Biologics for Antimicrobial Resistance
A new MIT–Jameel initiative is advancing AI-designed minibinders, engineered microbial delivery, and rapid diagnostics to outpace antimicrobial resistance and reduce collateral damage to the microbiome.
RFK Jr. Says Americans Need More Protein. His Grok-Powered Food Website Disagrees — Grok-powered nutrition guidance
The federal push for “real food” and higher protein is now funneled through a link to Elon Musk’s Grok—raising policy, safety, and messaging questions for anyone relying on the bot for dietary direction.
Building Qiddiya City: How Microsoft Copilot for giga-project management helps navigate unprecedented scale
Qiddiya City is consolidating data and AI to manage one of the world’s most ambitious entertainment and sports developments, using Microsoft Copilot, a Smart Command Center, and partner platforms to accelerate decisions and control costs.
Automating Inference Optimizations with TensorRT-LLM inference automation
AutoDeploy-style tooling now compiles and tunes TensorRT-LLM engines from a single configuration, automating quantization, kernel fusion, KV-cache handling, and scaling decisions to accelerate production LLMs.
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