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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

SPACEX SIGNS COMPUTING POWER DEAL WITH OPEN-SOURCE AI STARTUP REFLECTION WORTH UP TO $6.3 BILLION

SpaceX signed a deal worth up to $6.3 billion with Reflection AI for access to its supercomputer Project Colossus. This agreement allows Reflection to use Nvidia GB300s for training open-source AI models, reflecting a shift toward increased demand for compute power in AI development. SpaceX aims to capitalize on this by offering its infrastructure to outside AI companies, bolstering its position in the AI and data center space.

OPENAI LAUNCHES NEW SECURITY TOOLS AND UPDATES GPT-5.5-CYBER

OpenAI recently launched an updated Codex Security plugin, GPT-5.5-Cyber (in limited release), a Daybreak Cyber Partner Program, and an open source security initiative called Patch the Planet. Daybreak is a defensive cyber stack for the AI era. OpenAI is promoting Daybreak through a partner model rather than direct broad model access. It aims to embed GPT-5.5 with Trusted Access for Cyber into existing security products and services while keeping access governed through partner systems.

ALIBABA'S AI VIDEO MODEL RISES TO NO. 2 IN GLOBAL RANKINGS, AS OPENAI'S SORA AND BYTEDANCE'S SEEDANCE FALL AWAY

Alibaba's HappyHorse 1.1 AI video generation model delivers production-ready video through an API built for integration into enterprise software stacks. It is now live on Alibaba Cloud Model Studio with a 40% sitewide launch discount for the first two weeks. HappyHorse supports text-to-video, image-to-video, and subject-to-video generation, as well as video editing. Its abilities cover the full spectrum of commercial video needs, from ideation through production to post-production.

KNOWLEDGE AGENTS: BEAT FRONTIER MODELS WITH BETTER STRUCTURE

Anthropic pulled its Mythos model, while the article's author developed smaller agentic models called "knowledge agents" to match larger frontier models. These agents enhance AI by injecting specific, relevant knowledge, performing well even with smaller models like Qwen 3.6 27B. The methodology involves embedding, structuring data, and multiple search passes, successfully augmenting LLMs for specialized queries and proprietary data.

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