#AI-agent

17 articles

Alex Dudov Alex Dudov Markets
1 week ago

GPT Models Drop Up to 9% in AI Trading Test While Opus 4.5 Gains 9.4%

AI trading test pits top models vs S&P 500. GPT lags as Opus 4.5 gains 9.4% and GPT 5.1 drops 9%.

Alex Dudov Alex Dudov AI models
1 week ago

Meta's HyperAgents: Recursive Self-Improvement Across 4 Computable Domains

Meta's HyperAgents framework enables recursive AI self-improvement, modifying code, logic, and architecture autonomously.

Peter Smith Peter Smith AI models
1 week ago

EverMind's MSA Scales AI Context to 100M Tokens with Under 9% Accuracy Loss

EverMind's MSA architecture scales AI context to 100M tokens with under 9% accuracy loss, outperforming Qwen, DeepSeek, and other models.

Peter Smith Peter Smith AI models
2 weeks ago

Why Multi-Agent AI Systems With Specialized Roles Are Outperforming Single Models

Specialized multi-agent AI systems are replacing single models, boosting efficiency through coordinated roles and shared memory layers.

Usman Salis Usman Salis AI models
3 weeks ago

PinchTab Launch: 13x Token Cut for AI Browser Agents

A 12MB open-source Go binary letting AI agents control Chrome via HTTP - cutting token usage by up to 13x through accessibility tree parsing.

Marina Lyubimova Marina Lyubimova Industry
1 month ago

AI Systems Are Learning to Act, Not Just Predict

A new survey maps out how AI is shifting from prediction-focused models to autonomous agents that can plan, experiment, and learn from results—bridging reasoning models with robotics and simulation.

Marina Lyubimova Marina Lyubimova Industry
1 month ago

TinyFish Web Agent Scores 89.97%, Leads AI Race by 20+ Points

A small team's TinyFish web agent topped a major web agent benchmark, outscoring Google, OpenAI, and Anthropic systems by over 20 percentage points in real-world web task performance.

Alex Dudov Alex Dudov AI models
2 months ago

Weaviate and CrewAI Demo Multi-Agent AI System That Scales Beyond ChatGPT Wrappers

Weaviate and CrewAI reveal production-ready framework for building scalable multi-agent AI systems using orchestration layers and vector databases.

Usman Salis Usman Salis AI models
2 months ago

China Launches AgentScope: Open-Source Framework for Building Multi-Agent AI Systems

China just dropped AgentScope, a Python-based open-source framework that makes it easier to build AI applications where multiple agents work together, complete with memory, tools, and reasoning built right in.

Eseandre Mordi Eseandre Mordi Industry
2 months ago

Agentic AI Reshapes Work in 2025 as Execution Costs Drop to Near-Zero

2025 became the tipping point for agentic AI—systems that handle complex tasks at extremely low cost. This transformation is redrawing the line between what humans do and what machines automate.

Eseandre Mordi Eseandre Mordi Industry
3 months ago

LangChain Highlights Rise of Agent Engineering as AI Systems Evolve

LangChain explains that the craft of shaping agents now is a core discipline for constructing adaptive AI systems. The firm stresses that steady cycles of revision, joint work across teams and tests in live settings raise the trustworthiness of agents.

Usman Salis Usman Salis Industry
4 months ago

OpenAI Releases Agents SDK 0.2.24 With Streaming and MCP Upgrades

OpenAI released version 0.2.24 of the Agents SDK. The new version adds resumable streaming, better MCP APIs, quicker discovery and reliability fixes. It gives developers a steadier base when they run long tasks or use agents across multiple tabs.

Alex Dudov Alex Dudov Markets
4 months ago

Bytedance Launches VeAgentBench with 145 Questions for Real-World AI Agent Testing

Bytedance Research released VeAgentBench, a benchmark dataset designed to evaluate AI agents across real-world domains, including legal, financial, educational, and personal-assistant tasks. The release includes runnable agents built on the veADK framework.

Peter Smith Peter Smith AI models
4 months ago

Google Rolling Out 4 New Features for Gemini Enterprise Agent Workflows

Google is building an Agent Import feature for Gemini Enterprise that'll let companies plug external agents into their multi-agent setups. The update also includes an evaluation tool, scheduled runs, and fresh connectors.

Usman Salis Usman Salis Stories
5 months ago

Leopold Aschenbrenner's Vision for AI Research Automation Aligns with Sam Altman's Recent Predictions

Both believe AI will soon drive its own development, fundamentally reshaping the field.

Usman Salis Usman Salis AI models
5 months ago

Stanford's AgentDebug Reveals Why AI Agents Fail — and How They Can Fix Themselves

Stanford researchers have developed AgentDebug, a framework that helps AI agents pinpoint their mistakes and fix them on the fly. Instead of restarting from scratch, agents can now diagnose where they went wrong and correct just that part—a breakthrough in making AI more reliable and efficient.

Saad Ullah Saad Ullah Markets
5 months ago

AI Agents Are Negotiating Business Deals — and Walmart Is Leading the Way

AI agents are already negotiating B2B deals autonomously. Walmart's supplier chatbot proves it works—and suppliers actually prefer it. Here's what this means for the future of business.

Posts feed
OpenAI's $122 Billion Superapp Strategy Signals a Major AI Platform Shift
2 days ago
BitVLA Shrinks Robot AI by 11x While Boosting Speed 4.4x
2 days ago
LFM2.5-350M Debuts With Strong Benchmark Results Across 6 Evaluation Suites
2 days ago
Grok 4.20 Multi-Agent Beta Ranks #7 in Search Arena Leaderboard
2 days ago
Claude Code Leak Reveals 4 Key Features Powering Autonomous AI Systems
2 days ago
RISE Robot Framework Boosts Task Success Rates by 35% Using AI-Driven Imagination
2 days ago
Multi-Agent AI Systems Face 15 Emerging Social Risks, New Study Finds
2 days ago
Mistral AI Raises $830M to Build Paris AI Data Center
2 days ago
OpenAI Codex Adds Claude Code CLI Integration in Cross-Platform Move
2 days ago
AI Coding Boom: Claude Code NPM Downloads Surge 70x, Codex Installs Hit 5M+
2 days ago
Follow us on Twitter

Disclaimer: Aigazine provides content for informational and educational purposes only. We do not offer financial, investment, or legal advice. Any decisions made based on the information published on this website are solely at the reader’s own discretion and risk. We encourage all readers to conduct their own research and seek professional guidance when necessary.

Aigazine is a news platform focused on artificial intelligence, covering global AI trends, technology, and innovation. Aigazine is based in Tbilisi (0179, Georgia, Tbilisi City, Vake District, 49 Besarion Zhghenti Street, VAT 305786600).

© 2025 aigazine.com

We use cookies to improve your experience on our site and to show you relevant advertising. To find our more, read our privacy policy and cookie policy