Media Summary: In this video, I will show you how to load and run In this AI Research Roundup episode, Alex discusses the paper: 'OmniGAIA: Towards Native Omni-Modal AI Qwen3.7-Max is Alibaba's latest frontier AI model, and its reported

Multi Agent Step Race Benchmark - Detailed Analysis & Overview

In this video, I will show you how to load and run In this AI Research Roundup episode, Alex discusses the paper: 'OmniGAIA: Towards Native Omni-Modal AI Qwen3.7-Max is Alibaba's latest frontier AI model, and its reported DECEIVE TO SURVIVE: A BENCHMARK FOR STRATEGIC DECEPTION IN MULTI-AGENT LLM SYSTEMS 讛讛专爪讗讛 讛讬讬转讛 讞诇拽 诪讗讬专讜注 CodeAI 砖诇 拽讛讬诇转 MDLI 讜-Intuit A year ago, we built an Matteo Bettini, a PhD student at the University of Cambridge and former PyTorch intern, will guide us through how BenchMARL聽...

This week on the AI Research Roundup, host Alex explores a new framework for testing the problem-solving skills of large聽...

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Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure
How to Run Multiple AI Models SIMULTANEOUSLY in LM Studio to BENCHMARK Their Responses
OmniGAIA: Multi-Modal Benchmark and LLM Agent
Qwen3.7-Max SHOCKED the AI Benchmark Race
Multi-Agent Hide and Seek
Don鈥檛 trust LLM benchmarks - Testing OpenAI GPT 5.2 in 馃 Agent Zero
DECEIVE TO SURVIVE: A BENCHMARK FOR STRATEGIC DECEPTION IN MULTI-AGENT LLM SYSTEMS
Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning
From Prompt to Multi-Agent System: Evolving Product, Evolving Benchmarks
Multi-Agent Systems with ADK鈥擲equential, Parallel, Loop & LLM Delegation | Google ADK Masterclass #4
Benchmarking Multi-Agent Reinforcement Learning
OPT-BENCH: Testing LLM Agent Optimization
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Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure

Multi-Agent Step Race Benchmark: Assessing LLM Collaboration and Deception Under Pressure

A

How to Run Multiple AI Models SIMULTANEOUSLY in LM Studio to BENCHMARK Their Responses

How to Run Multiple AI Models SIMULTANEOUSLY in LM Studio to BENCHMARK Their Responses

In this video, I will show you how to load and run

OmniGAIA: Multi-Modal Benchmark and LLM Agent

OmniGAIA: Multi-Modal Benchmark and LLM Agent

In this AI Research Roundup episode, Alex discusses the paper: 'OmniGAIA: Towards Native Omni-Modal AI

Qwen3.7-Max SHOCKED the AI Benchmark Race

Qwen3.7-Max SHOCKED the AI Benchmark Race

Qwen3.7-Max is Alibaba's latest frontier AI model, and its reported

Multi-Agent Hide and Seek

Multi-Agent Hide and Seek

We've observed

Don鈥檛 trust LLM benchmarks - Testing OpenAI GPT 5.2 in 馃 Agent Zero

Don鈥檛 trust LLM benchmarks - Testing OpenAI GPT 5.2 in 馃 Agent Zero

Benchmarks

DECEIVE TO SURVIVE: A BENCHMARK FOR STRATEGIC DECEPTION IN MULTI-AGENT LLM SYSTEMS

DECEIVE TO SURVIVE: A BENCHMARK FOR STRATEGIC DECEPTION IN MULTI-AGENT LLM SYSTEMS

DECEIVE TO SURVIVE: A BENCHMARK FOR STRATEGIC DECEPTION IN MULTI-AGENT LLM SYSTEMS

Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning

Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning

Brain-Inspired Graph

From Prompt to Multi-Agent System: Evolving Product, Evolving Benchmarks

From Prompt to Multi-Agent System: Evolving Product, Evolving Benchmarks

讛讛专爪讗讛 讛讬讬转讛 讞诇拽 诪讗讬专讜注 CodeAI 砖诇 拽讛讬诇转 MDLI 讜-Intuit https://mdli.co.il/codeai A year ago, we built an

Multi-Agent Systems with ADK鈥擲equential, Parallel, Loop & LLM Delegation | Google ADK Masterclass #4

Multi-Agent Systems with ADK鈥擲equential, Parallel, Loop & LLM Delegation | Google ADK Masterclass #4

Multi

Benchmarking Multi-Agent Reinforcement Learning

Benchmarking Multi-Agent Reinforcement Learning

Matteo Bettini, a PhD student at the University of Cambridge and former PyTorch intern, will guide us through how BenchMARL聽...

OPT-BENCH: Testing LLM Agent Optimization

OPT-BENCH: Testing LLM Agent Optimization

This week on the AI Research Roundup, host Alex explores a new framework for testing the problem-solving skills of large聽...

SOCK A Benchmark for Measuring Self-Replication in Large Language Models

SOCK A Benchmark for Measuring Self-Replication in Large Language Models

Paper: https://arxiv.org/abs/2509.25643 Title: SOCK: A