Posts

"Garbage In, Garbage Out" is a LIE

"Garbage In, Garbage Out" is a LIE

Terrence Lee-St. John, author of "From Garbage to Gold," challenges the "garbage in, garbage out" mantra. He presents a data-architectural theory explaining why models trained on noisy, high-dimensional tabular data can achieve robust predictive performance by focusing on recovering latent signals rather than exhaustive data cleaning.

CAG vs Long Context: How AI Models Use and Remember Information

CAG vs Long Context: How AI Models Use and Remember Information

Martin Keen explains how Long Context and Cache Augmented Generation (CAG) serve as powerful alternatives to RAG for providing external knowledge to LLMs. This summary details the mechanics of each approach, the role of the KV cache, the practical application through prompt caching, and the trade-offs in performance, cost, and latency for real-world AI workloads.

The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

Cerebras CEO Andrew Feldman discusses the company's journey from a contrarian bet on wafer-scale computing to a $63 billion public company. He details the technical breakthroughs, the challenge of being ahead of the market, and how the recent explosion in AI demand for fast inference validated their architecture, leading to a landmark $20 billion deal with OpenAI.

What AI Agents Can Do Inside MATLAB and Simulink - Tianyi Zhu | Podcast #173

What AI Agents Can Do Inside MATLAB and Simulink - Tianyi Zhu | Podcast #173

Tianyi Zhu from MathWorks explains the key differences between AI agents and chatbots, highlighting how agentic AI acts as a powerful amplifier for engineers. The discussion covers practical use cases in MATLAB and Simulink, measurable ROI in automotive workflows, and strategies for safely integrating non-deterministic AI into high-stakes engineering environments.

Any-to-Any: Building Native Multimodal Agents - Patrick Löber, Google DeepMind

Any-to-Any: Building Native Multimodal Agents - Patrick Löber, Google DeepMind

Patrick Löber from Google DeepMind provides a technical walkthrough of the Gemini API's "any-to-any" capabilities. The session covers multimodal understanding of complex documents, video, and audio; an agentic loop using function calling to trigger native image and speech generation; and the real-time, audio-to-audio Live API.

The ERP for the AI Revolution is here

The ERP for the AI Revolution is here

John Glasgow, founder of AI-native ERP Campfire, discusses his journey from a Google Sheets MVP to displacing NetSuite. He covers the importance of founder-led sales to $1M ARR, using a narrow feature set as a wedge into the market, and how the rise of AI flipped the script on what constitutes a "safe" enterprise software choice.