One Model Built Itself. The Other Found 500 Zero-Days. This Is Where AI Goes Next.
Author(s): Ahmed M. Abdelfattah Originally published on Towards AI. On February 5th, OpenAI and Anthropic launched their most powerful coding models within 16 minutes of each other. What they buried in the technical documentation changes everything. At 9:45 AM on February 5th, …
Inside Claude Code’s Agent Teams and Kimi K2.5’s Agent Swarm
Author(s): JP Caparas Originally published on Towards AI. Anthropic and Moonshot shipped competing multi-agent systems within 10 days. One trusts developers. The other trusts reinforcement learning. Pick your side. On January 27, 2026, Moonshot AI quietly released Kimi K2.5 with a feature …
OpenAI’s GPT-5.3-Codex: The AI That Learned to Code Itself
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. OpenAI finally stops pushing porn and starts building coworkers OpenAI just dropped something that should make every software engineer pause their current Sprint planning. GPT-5.3-Codex isn’t just another incremental update to AI-assisted …
My Journey Learning Google ADK: Building AI Agents from Scratch | Part 5
Author(s): Pranav Dhopey Originally published on Towards AI. Building AI Agents from Scratch | Part 5 Bonus part! If you’re following along, you’ve already mastered Part 1 (Basics), Part 2 (State), Part 3 (Workflows), and Part 4 (Multi-Agent Routing). TL;DR: Learn AgentTool …
🤖 Are AI Models Really Developing a “Survival Drive”? The Truth Behind the Headlines (2025 Update)
Author(s): Sai Insights Originally published on Towards AI. What Recent Research Actually Reveals About Machine Self-Preservation Imagine this scenario: You’re an AI researcher running a simple test. You ask an advanced language model to complete a series of math problems, then halfway …
Autonomous Visual Debugging: How Kimi K2.5 Generates Code From Screenshots and Fixes Itself
Author(s): Wahidur Rahman Originally published on Towards AI. What’s the biggest bottleneck in AI-assisted coding today? It’s not generation — GPT-4 and Claude already write decent React components. The real problem is the refinement loop. You generate code, render it, spot misalignment, …
100 AI Agents, 1,500 Parallel Tool Calls: How Kimi K2.5’s PARL Framework Delivers 4.5x Speedup
Author(s): Wahidur Rahman Originally published on Towards AI. Every multi-agent AI system has the same problem. You prompt GPT-4 to research 20 biotech companies across gene editing, drug discovery, and diagnostics. The model spawns agents to handle the task. You wait. And …
Kimi K2.5 and the Rise of Agent Swarms: A Technical Deep-Dive into Parallel AI Orchestration
Author(s): Wahidur Rahman Originally published on Towards AI. How Moonshot AI’s trillion-parameter model is revolutionizing multi-agent coordination through self-directed swarm intelligence The AI landscape experienced a seismic shift in January 2026 when Moonshot AI unveiled Kimi K2.5—not just another large language model, …
How to Become a $1.5 Million AI Engineer in 2026?
Author(s): Khushbu Shah Originally published on Towards AI. Four phases. One $1.5M AI career. Most people who search for how to become an AI engineer are training for the wrong job. They are learning neural networks, grinding Kaggle projects, and memorizing ML …
The Great AI Paradox of 2025: Why 88% Adoption Doesn’t Equal Transformation
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The artificial intelligence revolution promised to be swift and decisive. Three years after ChatGPT catalyzed the generative AI era, we find ourselves in a curious position: AI is everywhere, yet transformative impact remains elusive …
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