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Neural intel Pod — 380 episodes · page 2 of 4
How to Read a Research Paper
The Science of Sampling
GPT-5 Revisited: Progress, Performance, and User Experience
Thyme Autonomous AI that Sees, Codes and Solves Problems
YaRN: Extending LLM Context Windows Efficiently
Ilya Sutskever's AI Vision: From Deep Learning Dogmas to Safe Superintelligence
Thyme: Think Beyond Images with Code-Executing MLLMs
What did Ilya see?
Meta's AI Ambitions: Turbulence in Superintelligence Labs
Hierarchical Reasoning: Bigger Isn't Always Better
Prime Collective Communications Library: A Technical Report
Prime Collective Communications Library: A Technical Report
MetaStone-S1: Reflective Generative AI for Test-Time Scaling
MetaStone-S1: Reflective Generative AI for Test-Time Scaling
ToonComposer: AI-Assisted Cartoon Production and Post-Keyframing
ToonComposer: AI-Assisted Cartoon Production and Post-Keyframing
Triton: Language, Compiler, and Optimization for AI Workloads
Triton: Language, Compiler, and Optimization for AI Workloads
Dynamic Fine-Tuning: Elevating LLM Generalization
Lessons from a Chimp: AI Scheming and Ape Language
Deciphering Reinforcement Learning for Language Models
STREAM3R: Scalable Streaming 3D Reconstruction with Causal Transformer
Yan: Interactive Video Generation Framework
Lessons from a Chimp: AI Scheming and Ape Language
NextStep-1: Unified Multi-modal Generation
STREAM3R: Scalable Streaming 3D Reconstruction with Causal Transformer
GLM-V: Advancing Multimodal Reasoning with RLCS
DINOv3: Self-Supervised Vision Foundation Models
GPT-5 and Grok 4: Altman vs Musk
Hugging Face Hub Storage: Xet vs. Git LFS
Channel-Wise MLPs Boost RCN Generalization
Fine-Tuning Custom Embedding Models for Enhanced Retrieval Performance
AdLlama: Boosting Ad CTR with Reinforcement Learning
Machine Learning: Models, Algorithms, and Reinforcement Learning
Mixture-of-Recursions: Adaptive Computation for Language Models
Operator-Based Machine Intelligence: A Hilbert Space Framework
Meta CLIP 2: A Worldwide Scaling Recipe
In-Context Learning: Implicit Weight Dynamics
GLM-4.5: Open Agentic, Reasoning, and Coding Foundation Models
RLVMR: Verifiable Meta-Reasoning for Long-Horizon Agents
CoT-Self-Instruct: High-Quality Synthetic Prompt Generation
GPT-5: Hype, Reality and the Future of AI
Seed-Prover: Advancing Automated Mathematical Reasoning with Formal Verification
Self-Evolving Agents: A Comprehensive Survey
High-Precision W and Z Boson Mass Measurement at CMS
Falcon-H1: Hybrid-Head LLMs for Efficiency and Performance
ASI-ARCH: AI-Driven Scientific Discovery for Neural Architecture
In-Context Learning: Implicit Weight Dynamics
Qwen3: Unifying Reasoning and Efficiency in LLMs
Group Sequence Policy Optimization for LLMs
Reinforcement Learning: Advancements, Applications, and Challenges
SPIRAL: Self-Play for Reasoning in Games
Qwen3-Coder: Agentic Coding and Model Capabilities
Hierarchical Reasoning Model: Brain-Inspired AI for Complex Tasks
Local LLM Solutions for Mac Silicon: Llama.cpp and LM Studio
Kimi K2: Open Agentic Intelligence and Applications
CARTRIDGES: Efficient Context for LLMs
Prompt Baking: Embedding LLM Behavior in Weights
Massistant: Chinese Mobile Forensic Tooling Revealed
Unexpected Military Roots of Digital Computing and Research
The 2025 AI Landscape: Progress and Outlook
The Dynamics of Neural Attention
Consciousness and Reality according to the CIA:Gateway
Military Roots of Digital Computing and Research
Accelerating Mobile AI with ExecuTorch and KleidiAI: Revisited
State-Adaptive Regularization for Offline Reinforcement Learning
Nash Learning from Human Feedback via Mirror Prox
MiniMax-M1: Scaling Test-Time Compute with Lightning Attention
Direct Reasoning Optimization for LLMs
AI's Impact on the US Workforce
LLaMA Factory: Easy LLM Fine-Tuning
Project Vend: Can Claude Run a Small Shop?
Self-Adapting Language Models (SEAL)
The Illusion of the Illusion of Thinking
The Illusion of Thinking in Reasoning Models
Meta-Reinforcement Learning with Minimum Attention
AI Persuasion Through Reinforcement Learning and Rhetoric
Reinforcement Learning for Assembly Code Optimization with LLMs
FileFix: Browser to PowerShell Social Engineering
Reinforcement Learning Under Unmeasured Confounding
Reinforcement Learning for Urban Air Quality Management
Reinforcement Learning in Non-Stationary Environments
Personalized Policy Learning from Heterogeneous Data
Boosting Reinforcement Learning with Human Feedback via SeRA
AXIOM: Active Inference Object-Centric World Models
Entropy and Reinforcement Learning for LLMs
FLEX Robot-Agnostic Force-Based Manipulation Learning
Agent RL Scaling for Mathematical Problem Solving
Beyond Reward: Limits of RL in LLM Reasoning
Reward Model Variance in RLHF
Power Grid Topological Control with Graph Reinforcement Learning
Decentralized RL for Multi-Resource Allocation via Dynamic Cluster Agreements
Reinforcement Learning for Humanoid Dexterous Manipulation
µCODE: Code Generation with Single-Step Rewards
Confidence-Reward Preference Optimization for Machine Translation
Personalized Preference Learning with MiCRo
ProRL Expands LLM Reasoning Boundaries
ProxyThinker: Guiding Large Models with Small Reasoners
Open CaptchaWorld: Benchmarking MLLM Agents
DexMachina: Functional Dexterous Bimanual Manipulation