AI & Machine Learning

TL;DR Enterprise AI readiness is not primarily determined by which model, copilot, or agent platform an organization selects. It is determined by how much of the enterprise can be safely exposed through trusted data, supported APIs, controlled identities, observable workflows, and resilient infrastructure. CIOs do not need to modernize every legacy application before deploying AI. […]

OpenAI addresses Apple’s baseless lawsuit, corrects claims about its employees, and shares messages documenting what happened.

TL;DR Broadcom KB 433183 describes a VKS 3.5 and later upgrade guardrail that blocks a version update when the cluster is likely to become stuck during rolling node replacement. The two broad causes are PodDisruptionBudgets with zero allowed disruptions and third-party admission webhooks that can prevent critical system pods from being created. Treat the condition

Private credit, chip leases and data centre guarantees underpin a vast new model for AI spending

Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.

Ukrainian drone operators have destroyed many Russian armored vehicles on the ground and even military helicopters in midair using $400 Shrike drones with explosive payloads. Now thousands of such drones are getting upgraded with an AI system capable of autonomously tracking and homing in on moving targets. In mid-July, the Ukrainian military began receiving Shrike

GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.

Tech company posts second-quarter results with US sales climbing 23%

Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico’s largest university. For the first time, they did it completely remotely, using a “lockdown” browser and AI-powered webcam proctoring software, over several weeks from late May through early June. It was a disaster. When exam results came in, they bore little resemblance

The A.I. revolution is stalling because companies don’t want to admit that integrating the technology is expensive and slow and requires human effort.