Intelligence Unbound

Fourth Mind
  • 5,0 (1)
  • TECHNOLOGIES

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. -1 J

    On-Policy Distillation: Efficient Post-Training for Language Models

    This episode introduces and evaluates On-Policy Distillation (OPD) as a highly efficient method for the post-training of large language models (LLMs). The authors categorize LLM training into three phases—pre-training, mid-training, and post-training—and distinguish between on-policy training (sampling from the student model) and off-policy training (imitating external sources).

    18 min

  2. -4 J

    Chronos-2: Universal Time Series Forecasting

    This episode is about introduce Chronos-2, a new time series foundation model developed by Amazon that expands beyond the limitations of previous models by supporting multivariate and covariate-informed forecasting in a zero-shot manner. The core innovation enabling this capability is the group attention mechanism, which allows the model to share information across related time series and external factors, significantly improving prediction accuracy in complex scenarios.

    16 min

  3. -5 J

    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 min

  4. 24 OCT.

    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 min

  5. 20 OCT.

    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 min

  6. 15 OCT.

    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 min

  7. 13 OCT.

    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 min

  8. 10 OCT.

    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 min
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À propos

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.

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  • Création
    Fourth Mind
  • Années d’activité
    2 k
  • Épisodes
    44
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    © Fourth Mind
  • Site web de l’émission
    Intelligence Unbound