Feature

How to Become an Ethical Hacker: Skills, Certifications, & Advice

How to Become an Ethical Hacker: Skills, Certifications, & Advice

Cybersecurity experts Jeff Crume and Patrick Fussell outline the essential skills, mindset, certifications, and career paths for aspiring ethical hackers, offering practical advice for breaking into the field of penetration testing and red teaming.

The Missing Piece in the AI for BI Puzzle

The Missing Piece in the AI for BI Puzzle

Yoni Leitersdorf, CEO of Solid, explains that directly applying Large Language Models (LLMs) to databases for text-to-SQL fails due to a lack of business context. He introduces the concept of a semantic layer as a critical "Rosetta Stone" that translates raw data into a meaningful format AI can understand, enabling reliable and accurate data interaction.

The Future of Serverless • Nick Coult • GOTO 2025

The Future of Serverless • Nick Coult • GOTO 2025

Nick Coult from AWS explains that the future of serverless is not a replacement but an essential foundation for the rise of AI agents. This talk explores the core benefits of serverless, its synergy with event-driven architectures, and how agentic AI and agentic workflows will rely on serverless principles to scale and operate effectively.

How to scam an AI agent, DDoS attack trends and busting cybersecurity myths

How to scam an AI agent, DDoS attack trends and busting cybersecurity myths

A discussion on novel methods for hijacking AI agents through social engineering, the evolution of DDoS attacks, the legacy of Zero Trust, and the glaring security flaws in AI training data apps.

Introducing Sora 2

Introducing Sora 2

A detailed overview of OpenAI's announcement of Sora 2, a flagship video and audio generation model, and the new Sora app, which introduces novel features like "Cameo" for personalized content creation and a new social experience.

How To Train An LLM with Anthropic's Head of Pretraining

How To Train An LLM with Anthropic's Head of Pretraining

Anthropic's Head of Pre-training, Nick Joseph, details the immense engineering and infrastructure challenges behind training frontier models like Claude. He covers the evolution from early-stage custom frameworks to debugging hardware at massive scale, balancing pre-training with RL, and the strategic importance of data quality and team composition.