AI & ML

As Google incorporates more artificial intelligence into search, people are spending more time on Google. Some website operators are crying foul.

Mobile apps are easy to make with artificial intelligence. That doesn’t mean people are excited to use them.

TL;DR A Nutanix CVM incident should be investigated as an evidence chain, not as a race to restart services. Begin with cluster status, compare local and cluster-wide service state, check resiliency, identify the service that owns the symptom, collect its logs, and use targeted NCC checks to validate what you found. This reference is intentionally

TL;DR AI agent observability requires more than a request log and a model latency chart. A single agent invocation can contain planning, multiple model calls, tool execution, retries, retrieval, memory operations, and nested agents. OpenTelemetry’s developing Generative AI semantic conventions now provide a common vocabulary for many of those operations, including agent, workflow, model, and

Free tools are the most widely used by companies with focus on efficiency savings rather than developing new products

Rapid advancements in Chinese artificial intelligence models raise more questions about costly technology spending, as Google’s parent prepares to report earnings.

TL;DR A production Model Context Protocol server should not treat possession of any bearer token as sufficient authority. It should validate who issued the token, confirm that the token was minted for that specific MCP resource, enforce narrowly defined scopes at both the transport and tool layers, and record authorization decisions without logging credentials or

There are a lot of AI coding applications out there, and as impressive as large language models and the agents they enable have become, many of the most recent developments in AI-assisted development have been in the software that manages those models, not just the models themselves. Earlier this summer, I spoke with the head

Once an AI agent has access to enterprise systems, identity cannot be treated as a one-time setup task. It needs a lifecycle. That lifecycle starts before the agent is created and ends only after the identity, permissions, logs, and downstream access paths have been retired or archived appropriately. This is where many agent programs will