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发布于 2026-03-23 / 1 阅读
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AI 每日资讯 - 2026-03-23

发布日期：2026-03-23

收录条目：11

1. AI influencer awards season is upon us

摘要：First came the AI beauty pageant. Then the AI music contests. Now, there is an award for AI Personality of the Year - perhaps the inevitable next step for the AI influencer economy as it transforms from quirky novelty in

2. Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent

摘要：In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine RLax with JAX, Haiku,

3. Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code

摘要：The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building autonomous systems must generally commit to one of several competing ecosystems: LangChain, Au

4. Crimson Desert dev apologizes for use of AI art

摘要：Reviews of Crimson Desert have been mixed, but the bigger issue for the game has been the discovery of what appeared to be AI-generated assets in the final release. Now the developer has acknowledged that AI art was inde

5. Musk says he’s building Terafab chip plant in Austin, Texas

摘要：Elon Musk announced plans to build a Terafab plant in Austin, Texas, that will be jointly run by Tesla and SpaceX. The goal is to eventually build chips at scale for robotics, artificial intelligence, and space-based dat

6. AI was everywhere at gaming’s big developer conference — except the games

摘要：AI was everywhere at the GDC Festival of Gaming this year. Vendors at the event pitched generative AI tools for things like making AI-driven NPCs and even entire games from a chat box. On the show floor, I spent 10 minut

7. A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration

摘要：In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, and a LiFePO₄-like mat

8. Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)

摘要：Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the existing production model

9. A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research

摘要：In this tutorial, we build an uncertainty-aware large language model system that not only generates answers but also estimates the confidence in those answers. We implement a three-stage reasoning pipeline in which the m

10. The gen AI Kool-Aid tastes like eugenics

摘要：Like many people, director Valerie Veatch was intrigued when OpenAI first released its Sora text-to-video generative AI model to the public in 2024. Though she didn't fully understand the technology, she was curious abou

11. Gemini task automation is slow, clunky, and super impressive

摘要：I've been testing out Gemini's new task automation on the Pixel 10 Pro and the Galaxy S26 Ultra, which for the first time lets Gemini take the wheel and use apps for you. It's limited to a small subset right now - a hand

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