Słuchaj podcastu New Paradigm: AI Research Summaries

How OpenAI is Advancing AI Competitive Programming with Reinforcement Learning	New Paradigm: AI Research Summaries	08:53
Examining Stanford's ZebraLogic Study: AI's Struggles with Complex Logical Reasoning	New Paradigm: AI Research Summaries	06:18
A Summary of Stanford's "s1: Simple test-time scaling" AI Research Paper	New Paradigm: AI Research Summaries	05:53
The Impact of AI Tools On Critical Thinking	New Paradigm: AI Research Summaries	06:56
Examining Microsoft Research’s 'Multimodal Visualization-of-Thought'	New Paradigm: AI Research Summaries	07:54
A Summary of 'Increased Compute Efficiency and the Diffusion of AI Capabilities'	New Paradigm: AI Research Summaries	11:37
Insights from Tencent AI Lab: Overcoming Underthinking in AI with Token Efficiency	New Paradigm: AI Research Summaries	05:52
Can Tencent AI Lab's O1 Models Streamline Reasoning and Boost Efficiency?	New Paradigm: AI Research Summaries	07:02
Harvard Research: What if AI Could Redefine Its Understanding with New Contexts?	New Paradigm: AI Research Summaries	06:48
A summary of Agent Laboratory: Leveraging AI to Revolutionize Research	New Paradigm: AI Research Summaries	08:22
Can Google's Mind Evolution Approach Unlock Deeper Thinking in Large Language Models?	New Paradigm: AI Research Summaries	11:52
What might The University of Sydney's Transformers Unlock in Predicting Human Brain States?	New Paradigm: AI Research Summaries	08:47
How might DeepSeek-R1 Revolutionize Reasoning in AI Language Models?	New Paradigm: AI Research Summaries	11:13
Remember the Titans: Google Research’s Breakthrough in Enhancing AI Memory	New Paradigm: AI Research Summaries	08:43
How Does Search-o1 Revolutionize Large Reasoning Models with Autonomous Search?	New Paradigm: AI Research Summaries	09:25
How Is Transformer2 Transforming Real-Time Language Model Adaptation? (ENHANCED)	New Paradigm: AI Research Summaries	11:25
Simulating One Million Agents For Social Media With OASIS	New Paradigm: AI Research Summaries	12:00
Insights from NVIDIA on Generative AI Pricing and Market Competition Strategies	New Paradigm: AI Research Summaries	08:06
Insights from NVIDIA: Creating Compact Language Models through Pruning and Knowledge Distillation	New Paradigm: AI Research Summaries	07:22
Success with synthetic data - a summary of the Microsoft's Phi-4 AI model technical report	New Paradigm: AI Research Summaries	07:30
What makes Microsoft's rStar-Math a breakthrough small AI reasoning model	New Paradigm: AI Research Summaries	08:35
Google DeepMind's paradigm shift to scaling AI model test time compute	New Paradigm: AI Research Summaries	08:11
Exploring NVIDIA’s Cosmos: advancing physical AI through digital twins and robotics	New Paradigm: AI Research Summaries	11:52
How might Meta AI's Mender transform personalized recommendations with LLM-enhanced retrieval?	New Paradigm: AI Research Summaries	07:30
How does Meta FAIR's Ewe give AI models working memory?	New Paradigm: AI Research Summaries	08:48
Should You Use CAG (Cache-Augmented Generation) Instead of RAG for LLM Knowledge Retrieval	New Paradigm: AI Research Summaries	09:07
Could GitHub Inc.’s Copilot Boost Developer Productivity and Transform Work Dynamics	New Paradigm: AI Research Summaries	09:31
What role does Stanford's Putnam-AXIOM play in evaluating AI's mathematical reasoning?	New Paradigm: AI Research Summaries	06:39
What Does Google DeepMind's Research Reveal About Machine Unlearning’s Limitations Protecting Privacy and Copyright in Generative AI?	New Paradigm: AI Research Summaries	06:38
Understanding of The Inner Workings of AI Models With MONET's Advanced Mechanistic Interpretability?	New Paradigm: AI Research Summaries	08:52
Key insights from Google DeepMind's PaliGemma 2: Transforming Vision-Language AI	New Paradigm: AI Research Summaries	06:38
Could DeepSeek-V3 Revolutionize Language Modeling?	New Paradigm: AI Research Summaries	09:38
Understanding The Roadmap to Reproduce o1 Reasoning AI Models	New Paradigm: AI Research Summaries	10:42
Investigating Deceptive AI Behaviors: UC Berkeley’s Analysis of User Feedback Optimization in LLMs	New Paradigm: AI Research Summaries	05:59
Exploring the DeMo Optimizer by Nous Research: Enhancing Large Neural Network Training	New Paradigm: AI Research Summaries	05:34
Can the Tsinghua University AI Lab Prevent Model Collapse in Synthetic Data?	New Paradigm: AI Research Summaries	06:21
Can Salesforce AI Research's LaTRO Unlock Hidden Reasoning in Language Models?	New Paradigm: AI Research Summaries	06:12
A Summary of Netflix's Research on Cosine Similarity Unreliability in Semantic Embeddings	New Paradigm: AI Research Summaries	06:47
Key insights from Salesforce Research: Enhancing LLMs with Offline Reinforcement Learning	New Paradigm: AI Research Summaries	06:35
Breaking down Johns Hopkins University's GenEx: AI Transforms Images into Immersive 3D Worlds	New Paradigm: AI Research Summaries	07:14

How OpenAI is Advancing AI Competitive Programming with Reinforcement Learning

New Paradigm: AI Research Summaries

08:53

Examining Stanford's ZebraLogic Study: AI's Struggles with Complex Logical Reasoning

New Paradigm: AI Research Summaries

06:18

A Summary of Stanford's "s1: Simple test-time scaling" AI Research Paper

New Paradigm: AI Research Summaries

05:53

The Impact of AI Tools On Critical Thinking

New Paradigm: AI Research Summaries

06:56