The New Stack Podcast The New Stack

The use of large language models (LLMs) has become widespread, but there are significant security risks associated with them. LLMs with millions or billions of parameters are complex and challenging to fully scrutinize, making them susceptible to exploitation by attackers who can find loopholes or vulnerabilities. On an episode of The New Stack Makers, Chris Pirillo, Tech Evangelist and Lance Seidman, Backend Engineer at Atomic Form discussed these security challenges, emphasizing the need for human oversight to protect AI systems.

The Kubernetes community primarily focuses on improving the development and operations experience for applications and infrastructure, emphasizing DevOps and developer-centric approaches. In contrast, the data science community historically moved at a slower pace. However, with the emergence of the AI engineer persona, the pace of advancement in data science has accelerated significantly.

Alex Williams, founder and publisher of The New Stack co-hosted a discussion with Sanjeev Mohan, an independent analyst, which highlighted the challenges faced by data-related tasks on Kubernetes due to the stateful nature of data. Unlike applications, restarting a database node after a failure may lead to inconsistent states and data loss. This discrepancy in pace and needs between developers and data scientists led to Kubernetes and the Cloud Native Computing Foundation initially overlooking data science.

LLM observability focuses on maximizing the utility of larger language models (LLMs) by monitoring key metrics and signals. Alex Williams, Founder and Publisher for The New Stack, and Janikiram MSV, Principal of Janikiram & Associates and an analyst and writer for The New Stack, an analyst and writer for The New Stack, discusses the emergence of the LLM stack, which encompasses various components like LLMs, vector databases, embedding models, retrieval systems, read anchor models, and more. The objective of LLM observability is to ensure that users can extract desired outcomes effectively from this complex ecosystem.

In a conversation on The New Stack Makers podcast co-hosted by Alex Williams, TNS founder and publisher, and Charles Humble, an industry expert who served as a software engineer, architect and CTO and now podcaster, author and consultant at Conissaunce Ltd., discussed why software developers and engineers should care about their impact on climate change. Humble emphasized that building software sustainably starts with better operations, leading to cost savings and improved security. He cited past successes in combating environmental issues like acid rain and the ozone hole through international agreements and emissions reduction strategies.

This New Stack Makers podcast co-hosted by Alex Williams, TNS founder and publisher, and Adrian Cockcroft, Partner and Analyst at OrionX.net, discussed Nvidia's GH200 Grace Hopper superchip. Industry expert Sunil Mallya, Co-founder and CTO of Flip AI, also weighed in on how it is revolutionizing the hardware industry for AI workloads by centralizing GPU communication, reducing networking overhead, and creating a more efficient system.

This New Stack Makers podcast co-hosted by TNS founder and publisher, Alex Williams and Joan Westenberg, founder and writer of Joan’s Index, discussed Copilot. Westenberg highlighted its integration with Microsoft 365 and its role as a coding assistant, showcasing its potential to streamline various tasks.