FOD#104: AI “Holy Shit!” Moments of the Year – and What’s Still Not There Yet

short interviews from the AI Engineer World Fair, plus our regular curated selection of the most relevant AI news and research papers

Guest Post: Open Recommender System Datasets – A Current Landscape

Topic 43: What is Meta-Learning?

look into the mind-bending world of meta-learning, where AI learns HOW to learn.

FOD#103: The Paper You Missed, and maybe the one we’ll be quoting a year from now

we discuss ATLAS – Google’s latest memory architecture that may reshape how models learn from recent experience

🎙️When Will We Train a Model Once and Let it Learn Forever

An Inference with Devvret Rishi, CEO and co-founder of Predibase

Topic 42: Decoding BERT: From Original NLP Game-Changer to Today's Efficient AI (feat. ConstBERT)

we explore a foundational model architecture, BERT, which brought a deeper context understanding to reality and led to a wave of new context-aware models + the freshest ConstBERT, a multi-vector retrieval solution built on BERT

FOD#102: Do Reasoning Models Think Too Much?

plus new video format: Three WOW and One Promising Release from the last week

🦸🏻#19: What Agents Desire? Reward and Value Functions in AI

things you need to know about what role rewards and values play in an agent 'life'

📍Shared vs Private LLMs: How to Unlock Improved Latency, Cost, and Control

join us at live webinar

Topic 41: What's Cool About AlphaEvolve and Codex?

we discuss two fresh coding tools from Google DeepMind and OpenAI that reshape coding, making it more convenient and practical for real-world tasks optimization

FOD#101: 8 Things You Need To Know About Agentic Web

we discuss Microsoft strategy unveiled through their recent announcement at Microsoft Build

🎙️When Will We Give AI True Memory?

An Inference with Edo Liberty / CEO and founder @ Pinecone