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AI 101: The State of Reinforcement Learning in 2025
What we have – and what we can carry from 2025 into 2026 – in reinforcement learning
Dec 11
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FOD#130: Where Is AI Heading in 2026?
were you right a year ago? Let's see! Compare the predictions and make new ones. Plus we share a very important shift in research
Dec 9
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AI 101: Fusing Modalities: Basics + the New MoS Approach
We discuss how models fuse different data types, why it is important now, and what is special in the new Meta and KAUST's fusion method – Mixture of…
Dec 5
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🎙️What AI Is Missing for Real Reasoning?
Axiom Math’s Carina Hong on how to build an AI mathematician
Dec 3
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FOD#129: Verification is All You Need
and happy birthday, ChatGPT
Dec 2
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AI 101: What is Continual Learning?
Can models add new knowledge without wiping out what they already know? We look at why continual learning is becoming important right now and explore…
Dec 1
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November 2025
State of AI Coding: Context, Trust, and Subagents
Emerging playbook beyond IDE
Nov 27
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FOD#128: Universe of Incredible Models
An insanely saturated week with models you actually need to know about
Nov 25
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AI 101: What is LeJEPA? The Theory Upgrade JEPA Has Been Missing
We discuss how Yann LeCun and Randall Balestriero's latest research drives JEPA foundations and puts it into solid, meaningful practice – and what it…
Nov 24
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FOD#127: Breaking: Is Microsoft crossing the chasm?
Ignite tells an interesting story
Nov 19
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🎙️Anneka Gupta: Designing for Uncertainty
We discuss security in the age of autonomous AI
Nov 17
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AI 101: What is so special about Kimi K2 Thinking?
Tracing the rise of China’s agentic intelligence strategy – from Kimi’s early vision to today’s open-source breakthrough
Nov 13
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