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Tag: Agentic AI

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Qwen3.8-Max: 2.4T Parameters, Open Weights, and a 12-Point Jump in Agentic Computer Use

Posted on August 11, 2026August 12, 2026 teliaz

Alibaba’s Qwen team just shipped Qwen3.8-Max, and it arrives at a strange moment in the AI race. We’re past the

Continue readingQwen3.8-Max: 2.4T Parameters, Open Weights, and a 12-Point Jump in Agentic Computer Use

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Beyond Math and Code: How SpyRL Turns Party Games Into Verifiable Training Signals for LLMs

Posted on August 8, 2026 teliaz

Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a

Continue readingBeyond Math and Code: How SpyRL Turns Party Games Into Verifiable Training Signals for LLMs

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Metis: The First Memory Foundation Model That Learns to Remember

Posted on August 2, 2026 teliaz

AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it

Continue readingMetis: The First Memory Foundation Model That Learns to Remember

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Kimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth

Posted on July 17, 2026July 20, 2026 teliaz

Moonshot AI has just dropped Kimi K3, and it’s a monster. At 2.8 trillion parameters, it’s the world’s first open-source

Continue readingKimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth

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Program-as-Weights: Compiling Natural Language Into Local Neural Programs

Posted on July 5, 2026 teliaz

There’s a class of programming tasks that resists clean implementation: deciding whether a log line is “important,” repairing malformed JSON

Continue readingProgram-as-Weights: Compiling Natural Language Into Local Neural Programs

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Hermes Agent: The Self-Improving AI Agent from Nous Research

Posted on July 2, 2026July 2, 2026 teliaz

Hermes Agent is an open-source AI agent framework developed by Nous Research — the team behind the Hermes family of

Continue readingHermes Agent: The Self-Improving AI Agent from Nous Research

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Why Verification Is Harder Than Generation for AI Coding Agents

Posted on June 28, 2026 teliaz

There’s a classical intuition in computer science that verifying a solution is easier than finding one. For NP-complete problems, this

Continue readingWhy Verification Is Harder Than Generation for AI Coding Agents

Cat Links Software Engineering

5 Trending GitHub Repos: A Design Spec for AI Agents, Code Intelligence via MCP, and AWS’s Official Agent Toolkit

Posted on June 27, 2026 teliaz

The GitHub trending page this week tells a clear story: the tools ecosystem around AI coding agents is maturing fast.

Continue reading5 Trending GitHub Repos: A Design Spec for AI Agents, Code Intelligence via MCP, and AWS’s Official Agent Toolkit

Cat Links AI News

This Week in AI: OpenAI’s Custom Chip, Gemini Gets Computer Use, and Qualcomm Buys Modular

Posted on June 24, 2026June 25, 2026 teliaz

June 24, 2026 turned out to be one of the most packed days in recent AI news. Three major announcements

Continue readingThis Week in AI: OpenAI’s Custom Chip, Gemini Gets Computer Use, and Qualcomm Buys Modular

Cat Links AI News

SkillOpt: Training AI Agent Skills Like Neural Networks

Posted on May 31, 2026June 1, 2026 teliaz

AI agents have a skill problem. You give a language model a system prompt — or “skill” — and it

Continue readingSkillOpt: Training AI Agent Skills Like Neural Networks

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