AI

Databricks at a crossroads: Can its AI strategy prevail without Naveen Rao?

“Databricks is in a tricky spot with Naveen Rao stepping back. He was not just a figurehead, but deeply involved in shaping their AI...

The hidden threat to AI performance

AI workloads are already expensive due to the high cost of renting GPUs and the associated energy consumption. Memory bandwidth issues make things worse....

Kotlin 2.2.20 boosts WebAssembly support

Kotlin 2.2.20 has been released, with the latest version of the concise, multiplatform, “pragmatic” programming language bringing its WebAssembly-compilation component, Kotlin/Wasm, into beta. JetBrains announced...

Making good choices: How to get the best from Python tools

The way to get the best from Python, aka “the lingua franca of AI,” is by knowing both its traps and its treasures. One...

Beyond AI protocols: Preparing for MCP and A2A in production

But here’s the limitation early adopters are discovering: both protocols are stateless by design. Once an agent sends or receives a message, the interaction...

VS Code 1.104 emphasizes AI model selection, agent security

Visual Studio Code 1.104, the latest release of Microsoft’s popular code editor, features flexibility for models in chat and a security capability to confirm...

How LinkedIn built an agentic AI platform

This explains the tendency of agent-based applications to fall back on messaging architectures. Ramgopal points out, “The reason we and almost everyone else are...

Unlocking LLM superpowers: How PagedAttention helps the memory maze

1. Memory fragmentation Internal fragmentation Systems pre-allocate a large chunk of memory for each request, assuming the maximum possible output length (e.g., 2048 tokens). However, if...

JFrog announces ‘agentic repo’ for AI-driven development

JFrog has introduced JFrog Fly, an offering the company describes as a zero-config, “agentic repository” for accelerating AI-driven software development. Introduced September 9, JFrog Fly...
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