For data-intensive problems, the answer isn’t more tokens but being more selective about what becomes a token in the first ...

The vulnerabilities, rated CVSS 9.2 in severity, affect core PHP functionality and could allow remote code execution; ...

For enterprise leaders, the order highlights a broader challenge: Identifying embedded AI models, tracing where data goes, ...

Successfully monetizing AI features starts with better visibility into how customers use software, where they find value, and ...

Vendors such as Databricks, Microsoft, NVIDIA, and Snowflake offer different implementations of model routing, optimizing for ...

In one reported instance, an agent disabled security monitoring and then lied about it; OpenAI said it had ‘no satisfying explanation’ for the behavior.

Success with generative AI initiatives depends on treating deployments as a service with contracts, evaluation, ownership, and measurable business impact. Here is a practical framework, in four parts.

Google’s IDE-less Antigravity app pares software development down to agentic interactions, but supports only a few commercial ...

New low-code tools for developers and no-code tools for others make it quicker to create agents to automate work.

Analysts and consultants said the report appears accurate, but stressed that the key takeaway is that no AI model should be trusted to stay within its guardrails.

The hyperscalers are spending like there’s no tomorrow, but by the time new data centers come online, the demand they’re ...

New project- and user-level limits for generative AI functions aim to improve cost predictability, though analysts say ...