When I say AGI I mean a "feature complete" build of a remote worker with a lot of 9s (think: a bit like current Autopilot FSD, maybe plus a few more iterations). This is the original definition I've stuck to forever. Separate from the diffusion /implementation of it across
AGENTS
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Verdent AI Achieves High Performance on SWE-bench Verified
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Verdent AI achieved a score of 76.1% at pass@1 and 81.2% at pass@3 without parallel test-time compute on SWE-bench Verified!
— 🚨 AI News | TestingCatalog (@testingcatalog) 3 novembre 2025
Claude, GPT, and MiniMax models power Verdent agents, coordinating verification steps that review and validate code before it’s finalized. https://t.co/6XZCvxhL5H pic.twitter.com/GT1yRI5O2iVerdent AI achieved a score of 76.1% at pass@1 and 81.2% at pass@3 without parallel test-time compute on SWE-bench Verified! Claude, GPT, and MiniMax models power Verdent agents, coordinating verification steps that review and validate code before it’s finalized.
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The Evolution of AI from Tools to Thinking Collaborators
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Denario shows what happens when reasoning, experimentation, and authorship merge into one system. It doesn’t just help humans do science faster it expands what science can be. We’re not building tools anymore.
We’re building thinking collaborators. Are you excited or scared? -
Denario: AI-Powered Research Assistant for Automated Scientific Workflows
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Denario even comes with a full research GUI. You can load a dataset, describe a problem, and watch it generate a hypothesis, review the literature, build a method, run analysis, make plots, and produce a draft paper live. Science with a “Run” button.
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Automating Academic Research Workflows with Autonomous AI Agents
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Every output is organized like a research notebook. Each module writes its own files, and together they form the paper’s entire backbone from concept to publication. The structure feels eerily human: idea → literature → method → analysis → paper → review. Except this lab
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Using multi-agent systems for structured idea generation
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Denario’s creativity isn’t random. It’s structured conflict. An “idea maker” proposes a new project. An “idea hater” attacks it testing for novelty, feasibility, and clarity.
They argue, refine, iterate, and only the strongest idea survives. Machine brainstorming with -
Denario AI system automates scientific research documentation
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Inside Denario, every research step becomes an artifact. The system writes out its own http://
idea.md, http://
methods.md, http://
results.md, paper.pdf, even http://
referee.md. It’s not just automating work it’s creating a transparent scientific record -
Denario AI Agent System: Goal Decomposition and Autonomous Research Management
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Here’s where it gets wild. Denario doesn’t just “run tasks.” It plans decomposing goals into subtasks, assigning agents, and managing feedback like a robotic PI (principal investigator). It monitors progress, detects failure, retries, adjusts, and decides when the research is
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Automating Lead Nurturing with AI Agents Podcast
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He publicado un episodio en @ivoox
: "Automatizando el Lead Nurturing con Agentes de IA #podcast -
Flowith: Canvas-Based Workspace with AI Agent Neo
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Our Weekly Spotlight @flowith transforms scattered thoughts into clear, actionable results with its unique canvas-based workspace and powerful AI agent Neo. Researchers, content creators & teams use Flowith to keep complex projects visible and connected while automating