Intelligence Unbound

Fourth Mind
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Unpacking the questions shaping the next intelligence era. I am producing a fully AI-generated podcast that explores the influence of AI within various industries and examines significant technological breakthroughs.

  1. -22 МИН

    How an AI That Reads Cells Like Sentences Made a Novel Cancer Discovery

    This episode is about C2S-Scale, a new family of large language models (LLMs) built upon Google's Gemma framework and designed for next-generation single-cell analysis. This platform translates high-dimensional single-cell RNA sequencing data into textual "cell sentences," enabling LLMs to process and synthesize vast amounts of transcriptomic and biological text data.

    12 мин.

  2. -3 ДН.

    DeepMind and Fusion: The Pass to Limitless Energy

    This episode is about the partnership between Google DeepMind and Commonwealth Fusion Systems (CFS) to accelerate the development of fusion energy, specifically focusing on CFS’s SPARC tokamak machine. This collaboration leverages Google DeepMind's Artificial Intelligence (AI) expertise, particularly reinforcement learning, to address the complex physics problems associated with stabilizing plasma at over 100 million degrees Celsius. A key component of this partnership is the open-source TORAX software, a fast, differentiable plasma simulator built in JAX, which allows researchers to run millions of virtual experiments to optimize SPARC's operations and identify the most efficient paths to achieving net fusion energy, or "breakeven.

    11 мин.

  3. 20 ОКТ.

    NVIDIA DGX Spark and Tinker API: Localizing LLM Fine-Tuning

    This episode dives deep on significant shift in the AI development landscape, moving away from exclusive reliance on large, general-purpose cloud computing.

    13 мин.

  4. 15 ОКТ.

    Small Fixed Samples Poison Large LLMs

    This episode dive deep on an Anthropic report and a related research paper, detail a joint study on the vulnerability of large language models (LLMs) to data poisoning attacks. The research surprisingly demonstrates that injecting a near-constant, small number of malicious documents—as few as 250—is sufficient to successfully introduce a backdoor vulnerability, regardless of the LLM's size (up to 13 billion parameters) or the total volume of its clean training data.

    11 мин.

  5. 13 ОКТ.

    Petri: An Open-Source AI Safety Auditing Tool

    This episode introduce Petri (Parallel Exploration Tool for Risky Interactions), an open-source framework developed by Anthropic to accelerate AI safety research through automated auditing. Petri uses specialized AI auditor agents and LLM judges to test target models across diverse, multi-turn scenarios defined by human researchers via seed instructions.

    14 мин.

  6. 10 ОКТ.

    Introducing Gemini 2.5 Computer Use Model

    This episode dive deep on Gemini 2.5 Computer Use model, a specialized AI model from Google DeepMind built on the Gemini 2.5 Pro architecture, designed to power agents capable of interacting with user interfaces (UIs). This model is accessible via the Gemini API for developers to create agents that can perform tasks like clicking, typing, and scrolling on web pages and applications.

    16 мин.

  7. 8 ОКТ.

    AI's Impact on the Labor Market: Stability, Not Disruption (yet)

    This Episode dive deep on the latest article from The Budget Lab at Yale that provides an analysis of the initial impact of Artificial Intelligence (AI) on the U.S. labor market since the introduction of generative AI in November 2022. The authors conclude that despite widespread public anxiety about job losses, their data indicates no substantial, economy-wide disruption or acceleration in the rate of change in the occupational mix that can be clearly attributed to AI.

    14 мин.

  8. 7 ОКТ.

    GEM: A GYM for Agentic LLMs

    This episode dive deep on GEM (General Experience Maker), an open-source environment simulator designed to accelerate research on agentic Large Language Models (LLMs) by shifting their training paradigm from static datasets to experience-based learning in complex, interactive environments. Modeled after OpenAI-Gym, GEM provides a standardized framework for the agent-environment interface, supporting asynchronous execution, diverse tasks (including games, math, and coding), and external tools like Python and Search.

    16 мин.
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Unpacking the questions shaping the next intelligence era. I am producing a fully AI-generated podcast that explores the influence of AI within various industries and examines significant technological breakthroughs.

Информация

  • Автор
    Fourth Mind
  • Годы выхода
    2 тыс.
  • Выпуски
    42
  • Ограничения
    Без ненормативной лексики
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    © Fourth Mind
  • Сайт подкаста
    Intelligence Unbound