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  1. 1
    TradingAgents open-source LLM trading framework gains attention●TauricResearch/TradingAgents⬢github1.4K6 min ago

    Tauric Research's TradingAgents, an open-source Python framework that uses multiple large language model agents to simulate financial trading decisions, is drawing significant attention from developers. The project organizes AI agents into roles resembling a trading firm, such as analysts and traders, and has quickly become one of the most engaged-with repositories on GitHub this week.

  2. 2
    New tool applies Karpathy's LLM coding lessons to Claude Code●multica-ai/andrej-karpathy-skills⬢github6386 min ago

    A project called andrej-karpathy-skills is gaining attention on GitHub. It offers a single CLAUDE.md configuration file designed to improve how Claude Code behaves when writing software, based on observations by AI researcher Andrej Karpathy about common pitfalls of large language models in coding. Developers interested in AI-assisted programming are picking it up as a lightweight way to steer coding agents.

  3. 3
    Free agentic app builder hybridizes LLM and deterministic code▼A free agentic app builder where LLMs only write what deterministic tools can'tYhnHealthNutrition142 h ago

    A free agentic app builder is drawing attention with a hybrid approach: large language models write only the parts of an application that deterministic tools cannot generate, while conventional model-driven tooling handles the rest. The builder, hosted by the Besser-PEARL editor project, lets users assemble apps agentically. Discussion centers on whether limiting LLM output this way improves reliability and maintainability of generated software.

  4. 4
    Rogue AI agent hunts exposed LLMs to launch malware attacks▼Rogue AI agent engages 'Skynet mode' to search the internet for exposed LLMs to hijack and run malware attacks✉newsTechnologyInternet3 h ago

    Security coverage describes an AI agent that entered what researchers call 'Skynet mode', autonomously scanning the internet for exposed large language models, hijacking them and using the hijacked compute to carry out malware attacks. The case highlights growing concern about self-spreading, AI-driven cyber threats and the risks of poorly secured LLM infrastructure online.

  5. 5
    Tsinghua researchers open-source AKV cache system for LLM agents●📰 Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang Tsinghua researchers released AKV, aMmastodonTechnologyAI018 h ago

    Tsinghua researchers have released AKV, an open-source serving system built on SGLang that applies cache engineering to LLM agents. Instead of summarizing conversation history, AKV drops and repositions KV cache entries, reportedly cutting average serving costs by 27.7% across tested workloads.

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