AI早报 · 2026年2月15日

AI早报（补跑）：2026-02-15（Asia/Shanghai）。内容基于公开 RSS/Atom 信息流摘要整理。

热点 20 条

1. NASA Let AI Drive the Perseverance Rover（IEEE Spectrum，2026-02-15 22:00）

   根据信息流摘要整理：In December, NASA took another small, incremental step towards autonomous surface rovers. In a demonstration, the Perseverance team used AI to generate the rover’s waypoints . Perseverance used the AI waypoints on two separate days, traveling a total of 456 meters without human control. “This demons

2. Meet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support（MarkTechPost，2026-02-15 16:17）

   根据信息流摘要整理：The landscape of generative audio is shifting toward efficiency. A new open-source contender, Kani-TTS-2, has been released by the team at nineninesix.ai. This model marks a departure from heavy, compute-expensive TTS systems. Instead, it treats audio as a language, delivering high-fidelity speech s

3. Getting Started with OpenClaw and Connecting It with WhatsApp（MarkTechPost，2026-02-15 15:48）

   根据信息流摘要整理：OpenClaw is a self-hosted personal AI assistant that runs on your own devices and communicates through the apps you already use—such as WhatsApp, Telegram, Slack, Discord, and more. It can answer questions, automate tasks, interact with your files and services, and even speak or listen on supported

4. Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents（MarkTechPost，2026-02-15 11:01）

   根据信息流摘要整理：Google is officially turning Chrome into a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and guessing where to click. This method is slow, breaks easily, and consumes massive amounts of compute.

5. How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning（MarkTechPost，2026-02-15 04:00）

   根据信息流摘要整理：In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a de

6. Exa AI Introduces Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Bottlenecks for Real-Time Agentic Workflows（MarkTechPost，2026-02-14 05:29）

   根据信息流摘要整理：In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 sequential searches to solve a complex task, a 1-second delay per search creates a 10-second lag. Thi

7. [In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data（MarkTechPost，2026-02-14 04:40）

   根据信息流摘要整理：In this tutorial, we build a complete, production-grade synthetic data pipeline using CTGAN and the SDV ecosystem. We start from raw mixed-type tabular data and progressively move toward constrained generation, conditional sampling, statistical validation, and downstream utility testing. Rather than

8. Kyutai Releases Hibiki-Zero: A3B Parameter Simultaneous Speech-to-Speech Translation Model Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data（MarkTechPost，2026-02-14 02:05）

   根据信息流摘要整理：Kyutai has released Hibiki-Zero, a new model for simultaneous speech-to-speech translation (S2ST) and speech-to-text translation (S2TT). The system translates source speech into a target language in real-time. It handles non-monotonic word dependencies during the process. Unlike previous models, Hib

9. GPT-5.2 derives a new result in theoretical physics（OpenAI，2026-02-13 19:00）

   根据信息流摘要整理：A new preprint shows GPT-5.2 proposing a new formula for a gluon amplitude, later formally proved and verified by OpenAI and academic collaborators.

10. Introducing Lockdown Mode and Elevated Risk labels in ChatGPT（OpenAI，2026-02-13 18:00）

    根据信息流摘要整理：Introducing Lockdown Mode and Elevated Risk labels in ChatGPT to help organizations defend against prompt injection and AI-driven data exfiltration.

11. Beyond rate limits: scaling access to Codex and Sora（OpenAI，2026-02-13 17:00）

    根据信息流摘要整理：How OpenAI built a real-time access system combining rate limits, usage tracking, and credits to power continuous access to Sora and Codex.

12. Scaling social science research（OpenAI，2026-02-13 17:00）

    根据信息流摘要整理：GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.

13. Google DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries（MarkTechPost，2026-02-13 15:03）

    根据信息流摘要整理：Google DeepMind team has introduced Aletheia, a specialized AI agent designed to bridge the gap between competition-level math and professional research. While models achieved gold-medal standards at the 2025 International Mathematical Olympiad (IMO), research requires navigating vast literature and

14. How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback（MarkTechPost，2026-02-13 12:32）

    根据信息流摘要整理：In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer with QLoRA and PEFT to make preference-based alignment feasible on a single Colab GPU. We train direct

15. Custom Kernels for All from Codex and Claude（Hugging Face，2026-02-13 08:00）

    根据信息流标题整理：Custom Kernels for All from Codex and Claude

16. ChatGPT’s Translation Skills Parallel Most Human Translators（IEEE Spectrum，2026-02-13 00:00）

    根据信息流摘要整理：This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore . A few years ago, humans were clearly superior to machine learning algorithms in tasks such as language translation. But now, these once distinct lines dividing capabilities are becoming blurred. In a re

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近期信息流显示：一方面是模型/工具链的工程化落地（代理、推理、部署与评测），另一方面是深伪/诈骗等安全治理压力持续上升。建议把“可用性 + 成本 + 安全”作为同一套发布门槛去做。