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AI 101

These subjects often turn into buzzwords with little clear explanation. No worries, we will provide straightforward insights into these complex areas in plain English and help you learn how to implement it.

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AI 101: Conditional Memory and the Rise of Selective Intelligence

AI 101

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Feb 4, 2026

AI 101: Conditional Memory and the Rise of Selective Intelligence

let's explore this new memory paradigm and why it's important as architectural principle

Ksenia Se
Ksenia Se
AI 101: What is Hybrid AI?

AI 101

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Jan 29, 2026

AI 101: What is Hybrid AI?

It’s not about architectural hybrids, it’s about where to run a model. The big promise in connecting devices and clouds for the nearest future of AI.

Alyona Vert.
Ksenia Se
Alyona Vert., +1
AI 101: An Insightful Guide to VLA/VLA+ models

AI 101

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Jan 21, 2026

AI 101: An Insightful Guide to VLA/VLA+ models

How Microsoft's Rho-alpha, Google's Gemini Robotics, and six other breakthroughs built the bridge from VLA to VLA+ – the complete snapshot of where we are today

Alyona Vert.
Ksenia Se
Alyona Vert., +1
AI 101: What are Web World Models?

AI 101

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Jan 14, 2026

AI 101: What are Web World Models?

Princeton’s new recipe for building better world models to support AI agents

Alyona Vert.
Ksenia Se
Alyona Vert., +1
AI 101: DeepSeek mHC: Breaking the Architectural Limits of Deep Learning

AI 101

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Jan 8, 2026

AI 101: DeepSeek mHC: Breaking the Architectural Limits of Deep Learning

your full guide to how residual connections started, how they evolved, and why DeepSeek’s Manifold-Constrained Hyper-Connections (mHC) are so important now

Alyona Vert.
Ksenia Se
Alyona Vert., +1
Models you HAVE to Know About -> AI 101 Recap

AI 101

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Dec 24, 2025

Models you HAVE to Know About -> AI 101 Recap

Refresh or learn about the most outstanding AI models of the second part of 2025

Ksenia Se
Alyona Vert.
Ksenia Se, +1
Concepts and Methods you HAVE to Know About -> AI 101 Recap

AI 101

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Dec 17, 2025

Concepts and Methods you HAVE to Know About -> AI 101 Recap

Refresh or learn the most important AI/ML concepts and techniques of the second part of 2025

Ksenia Se
Alyona Vert.
Ksenia Se, +1
AI 101: The State of Reinforcement Learning in 2025

AI 101

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Dec 10, 2025

AI 101: The State of Reinforcement Learning in 2025

What we have – and what we can carry from 2025 into 2026 – in reinforcement learning

Ksenia Se
Alyona Vert.
Ksenia Se, +1
AI 101: Fusing Modalities: Basics + the New MoS Approach

AI 101

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Dec 3, 2025

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 States

Alyona Vert.
Alyona Vert.
AI 101: What is Continual Learning?

AI 101

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Nov 26, 2025

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 the new methods emerging for it, including Google’s Nested Learning and Meta’s Sparse Memory Fine-tuning

Alyona Vert.
Alyona Vert.
AI 101: What is LeJEPA? The Theory Upgrade JEPA Has Been Missing

AI 101

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Nov 19, 2025

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 means for the community. Time to work on world models!

Alyona Vert.
Ksenia Se
Alyona Vert., +1
AI 101: What is so special about Kimi K2 Thinking?

AI 101

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Nov 12, 2025

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

Alyona Vert.
Ksenia Se
Alyona Vert., +1
AI 101: What matters for RL? Precision! Switching BF16 → FP16

AI 101

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Nov 5, 2025

AI 101: What matters for RL? Precision! Switching BF16 → FP16

How this switch in precision influences the reinforcement learning accuracy and stability and why everyone, including Andrej Karpathy and Nathan Lambert, paid attention to this method

Ksenia Se
Alyona Vert.
Ksenia Se, +1
AI 101: Inside Robotics

AI 101

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Oct 29, 2025

AI 101: Inside Robotics

Building the body of AI: How Physical AI is trained and powered – from Figure 03, Neo, Unitree robots to NVIDIA freshest updates

Alyona Vert.
Alyona Vert.
AI 101: What is Neuro-Symbolic AI?

AI 101

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Oct 22, 2025

AI 101: What is Neuro-Symbolic AI?

Everything you need to know about hybrid neuro-symbolic AI, how it blends strict logic and rules with neural networks, and why it shouldn't be overlooked

Alyona Vert.
Alyona Vert.
AI 101: What are Modular Manifolds?

AI 101

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Oct 15, 2025

AI 101: What are Modular Manifolds?

How Thinking Machines Lab is redefining neural network optimization through geometry-awareness

Alyona Vert.
Alyona Vert.
AI 101: What's New in World Models?

AI 101

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Oct 8, 2025

AI 101: What's New in World Models?

A glimpse at Code World Model, PSI, and others – redefining how models catch the world in their nets

Alyona Vert.
Alyona Vert.
AI 101: Reinforcement Learning: The Ultimate Guide to Past, Present, and Future

AI 101

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Oct 1, 2025

AI 101: Reinforcement Learning: The Ultimate Guide to Past, Present, and Future

From the early trial-and-error concepts to today’s breakthroughs with RLHF, PPO, and GRPO, and where to go next, according to Andrej Karpathy and Richard Sutton.

Alyona Vert.
Alyona Vert.
AI 101: Rethinking Causal Attention

AI 101

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Sep 24, 2025

AI 101: Rethinking Causal Attention

How Causal Attention with Lookahead Keys (CASTLE) and future-aware casual masks reshape the strict left-and-right order of autoregressive models, plus attention in cause-effect relationships.

Alyona Vert.
Alyona Vert.
AI 101: What are Guardian Models?

AI 101

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Sep 17, 2025

AI 101: What are Guardian Models?

Everything you need to know about models that defend AI today

Ksenia Se
Alyona Vert.
Ksenia Se, +1
AI 101: Intelligence Processing Unit (IPU) and other alternatives to GPU/TPU/CPU

AI 101

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Sep 10, 2025

AI 101: Intelligence Processing Unit (IPU) and other alternatives to GPU/TPU/CPU

Everything you need to know about CPU, GPU, TPU, ASICs, APU, NPU and others, unpacking the meaning behind these abbreviations

Alyona Vert.
Alyona Vert.
AI 101: What is XQuant?

AI 101

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Sep 3, 2025

AI 101: What is XQuant?

Compute is not a big deal for LLMs now, but memory is. Explore how a new XQuant method and its XQuant-CL variation can save the memory use up to 12 times

Alyona Vert.
Alyona Vert.
AI 101: What is PAN? How to Build a Better World Model?

AI 101

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Aug 27, 2025

AI 101: What is PAN? How to Build a Better World Model?

Explore how rethinking world model building patterns can turn our vision upside down and lead to a new Physical, Agentic, and Nested (PAN) system

Alyona Vert.
Alyona Vert.
AI 101: What is Mixture-of-Recursions (MoR)?

AI 101

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Aug 20, 2025

AI 101: What is Mixture-of-Recursions (MoR)?

Explore a configurable version of Transformer with the big-model quality but without the big-model cost

Alyona Vert.
Alyona Vert.
AI 101: What's New in Test-Time Scaling?

AI 101

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Aug 13, 2025

AI 101: What's New in Test-Time Scaling?

The test-time scaling journey into world models, agents, diffusion with a reminder to stay cautious and keep it controllable

Alyona Vert.
Alyona Vert.
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Turing Post

Over two decades in tech, with the last seven years focused on ML and AI. Our analysis stays precise and grounded. Our educational series walk you through the foundations and help you explore the deeper layers. We trace the arc of AI – its past, its present, and the direction it’s pulling us toward. We track the research that matters, the systems being built, and the ideas that define how AI actually works. And we break it down with clarity, so you can make better decisions. Join 100,000+ professionals who rely on Turing Post.

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