MIT researchers propose a way to turn idle GPU time into training signal for reasoning LLMs. By verifying tokens from a small draft model during RL rollouts, teams can accelerate training without sacrificing accuracy.
TLT: Training-time Speculative Decoding to Speed LLM Training Read Post »
Self-taught engineer and internet artist Riley Walz—known for playful, data-driven projects like IMG_0001 and Find My Parking Cops—is headed to OpenAI. Here’s what his “tech jester” ethos signals for product speed, transparency stress tests, and governance.
Riley Walz joining OpenAI: Why a ‘tech jester’ could matter for AI culture and product Read Post »
Munich Fire Department is piloting a Microsoft-built AI operator to handle non-emergency calls in multiple languages, verify addresses, and route requests—freeing human dispatchers to focus on life-critical incidents.
Across UK HealthCare and NHS settings, Microsoft’s Dragon Copilot uses ambient AI to draft clinical notes in Epic, lifting documentation burden and helping clinicians be more present with patients.
At S4x25, NVIDIA unveiled an AI-driven cybersecurity stack for OT/ICS that uses BlueField-3 DPUs as an inline, low-touch security overlay and streams telemetry to its Morpheus framework for real-time detection—aligned with established ICS best practices.
NVIDIA AI cybersecurity for critical infrastructure — BlueField-3 & Morpheus Read Post »
U.S. and international policies are converging on strict guardrails for military AI, from constrained autonomous weapon operations to auditable design and senior-level oversight. Here’s what programs and contractors need to know.
