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OpenAI Releases a Research Preview of GPT‑5.3-Codex-Spark: A 15x Faster AI Coding Model Delivering Over 1000 Tokens Per Second on Cerebras Hardware

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

OpenAI just launched a new research preview called GPT-5.3 Codex-Spark. This model is built for 1 thing: extreme speed. While the standard GPT-5.3 Codex focuses on deep reasoning, Spark is designed for near-instant response times. It is the result of a deep hardware-software integration between OpenAI and Cerebras. The results are game-changing. Spark is 15x […]

OpenAI Releases a Research Preview of GPT‑5.3-Codex-Spark: A 15x Faster AI Coding Model Delivering Over 1000 Tokens Per Second on Cerebras Hardware Read More »

OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

ai, AI (Artificial Intelligence), AI Agents, AI chips, AI coding, AI development tools, AI speed, Artificial Intelligence, Biz & IT, Cerebras, code agents, Machine Learning, nvidia, OpenAI, Sam Altman, tokens

On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more than 1,000 tokens (chunks of data) per second, which is reported to be roughly 15 times faster than its predecessor. To compare, Anthropic’s Claude Opus

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Is This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today

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

Google announced a major update to Gemini 3 Deep Think today. This update is specifically built to accelerate modern science, research, and engineering. This seems to be more than just another model release. It represents a pivot toward a ‘reasoning mode’ that uses internal verification to solve problems that previously required human expert intervention. The

Is This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today Read More »

Guide to Build a Data Analysis & Visualization Agent Using Swarm Architecture 

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, LLMs

Swarm architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by natural swarms, it pairs a Data Analyst agent for processing with a Visualization agent for chart creation, coordinated to deliver clearer and more efficient insights. This collaborative design mirrors teamwork, where each agent focuses on its strength to improve

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We let Chrome’s Auto Browse agent surf the web for us—here’s what happened

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, browser agent, chrome, Features, Google

We are now a few years into the AI revolution, and talk has shifted from who has the best chatbot to whose AI agent can do the most things on your behalf. Unfortunately, AI agents are still rough around the edges, so tasking them with anything important is not a great idea. OpenAI launched its

We let Chrome’s Auto Browse agent surf the web for us—here’s what happened Read More »

How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining

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In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds outputs in real project documentation. Also, we demonstrate how to plan retrieval, retrieve relevant context, inject it dynamically into an answering agent, and run an interactive loop that

How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining Read More »

Claude Agents Just Built a Fully Functioning C Compiler With Zero Human Input

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

Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally referred to as the Claude “agent teams,” wasn’t written

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Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design

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Google Research is proposing a new way to build accessible software with Natively Adaptive Interfaces (NAI), an agentic framework where a multimodal AI agent becomes the primary user interface and adapts the application in real time to each user’s abilities and context. Instead of shipping a fixed UI and adding accessibility as a separate layer,

Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design Read More »

Maestro: A Developer-First Platform for Orchestrating AI Agents

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

Text autocompletion and chat queries are no longer the only roles for AI agents. They now refactor repositories, generate documentation, review codebases, and run unattended workflows, creating new challenges in coordinating multiple agents without losing context, control, or code quality. Maestro, the latest AI Agents orchestration platform, addresses this need as an application that creates

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OpenClaw 2026.2.3: Building Safer, More Reliable Agents

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence

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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