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OpenClaw 2026.2.3: Building Safer, More Reliable Agents

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Independent AI agents are moving into real workflows, managing projects and automating complex tasks with growing autonomy. As their responsibilities expand, the need for stronger security, reliability, and execution control increases. Production environments require predictable behavior, safe automation, and oversight. This article focuses on how OpenClaw 2026.2.3, the latest version of OpenClaw, that strengthens the […]

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Google AI Introduces PaperBanana: An Agentic Framework that Automates Publication Ready Methodology Diagrams and Statistical Plots

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Knowledge Graphs, Language Model, Machine Learning, New Releases, Staff, Tech News, Technology, Uncategorized

Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can now handle literature reviews and code, they struggle to visually communicate complex discoveries. A research team from Google and Peking University introduce new framework called ‘PaperBanana‘ which is changing that by using a multi-agent system to automate high-quality academic diagrams

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30 Agentic AI Interview Questions and Answers: From Beginner to Advanced

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Career, Interview Prep

AI has evolved far beyond basic LLMs that rely on carefully crafted prompts. We are now entering the era of autonomous systems that can plan, decide, and act with minimal human input. This shift has given rise to Agentic AI: systems designed to pursue goals, adapt to changing conditions, and execute complex tasks on their

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Build an Agent with Nanobot, Lighter Replacement for OpenClaw

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Beginner, Generative AI, Generative AI Application

Virtual assistants in business are changing fast. Massive enterprise systems like OpenClaw pack hundreds of thousands of lines of code, but nanobot challenges the idea that bigger automatically means better. With just 4000 lines of Python, it delivers core AI assistant capabilities in a lightweight, focused package while cutting codebase size by about 99% without

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Sixteen Claude AI agents working together created a new C compiler

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI coding, AI development tools, AI programming, AI research, anthropic, Artificial Intelligence, Biz & IT, Claude Code, code agents, Compilers, Large Language Models, Machine Learning, Nicholas Carlini, Open Source

Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual with claims of AI-related achievement, you’ll find some key caveats ahead. On Thursday, Anthropic researcher Nicholas Carlini published a blog

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AI companies want you to stop chatting with bots and start managing them

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI and work, AI assistants, AI benchmarks, AI coding, AI development tools, AI security, anthropic, Artificial Intelligence, Biz & IT, chatbots, Claude Code, Claude Opus, Claude Opus 4.6, code agents, Codex, Generative AI, GPT-5.3-Codex, Large Language Models, Machine Learning, OpenAI, Sam Altman

On Thursday, Anthropic and OpenAI shipped products built around the same idea: instead of chatting with a single AI assistant, users should be managing teams of AI agents that divide up work and run in parallel. The simultaneous releases are part of a gradual shift across the industry, from AI as a conversation partner to

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Anthropic Releases Claude Opus 4.6 With 1M Context, Agentic Coding, Adaptive Reasoning Controls, and Expanded Safety Tooling Capabilities

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, New Releases, Staff, Technology

Anthropic has launched Claude Opus 4.6, its most capable model to date, focused on long-context reasoning, agentic coding, and high-value knowledge work. The model builds on Claude Opus 4.5 and is now available on claude.ai, the Claude API, and major cloud providers under the ID claude-opus-4-6. Model focus: agentic work, not single answers Opus 4.6

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OpenAI Just Launched GPT-5.3-Codex: A Faster Agentic Coding Model Unifying Frontier Code Performance And Professional Reasoning Into One System

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OpenAI has just introduced GPT-5.3-Codex, a new agentic coding model that extends Codex from writing and reviewing code to handling a broad range of work on a computer. The model combines the frontier coding performance of GPT-5.2-Codex with the reasoning and professional knowledge capabilities of GPT-5.2 into a single system, and it runs 25% faster

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Increase of AI bots on the Internet sparks arms race

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The viral virtual assistant OpenClaw—formerly known as Moltbot, and before that Clawdbot—is a symbol of a broader revolution underway that could fundamentally alter how the Internet functions. Instead of a place primarily inhabited by humans, the web may very soon be dominated by autonomous AI bots. A new report measuring bot activity on the web,

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Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Computer vision, Editors Pick, Language Model, New Releases, Technology, Vision Language Model

Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop grounded in visual

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