Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is ...

Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

With boardrooms demanding results from AI spending, Snowflake is betting that friction-free tools on its data platform will ...

Keep a Raspberry Pi AI chatbot responsive by preloading the LLM and offloading with Docker, reducing first reply lag for ...

Cuts out the Azure middleman with multi-year deal for 'tighter alignment' Snowflake plans to spend as much as $200 million with OpenAI to bring its models and chatbot into the database vendor's ...

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...