Intelligence Unbound

Fourth Mind

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. 14H AGO

    Emergent Introspection in Large Language Models

    This episode present a summary of the detailed academic paper, "Emergent Introspective Awareness in Large Language Models," which investigates the capacity of large language models (LLMs) to observe and report on their own internal states. The research employs a technique called concept injection, where known patterns of neural activity are manipulated and then LLMs, particularly Anthropic's Claude models, are tested on their ability to accurately identify these internal changes.

    19 min

  2. 3D AGO

    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

  3. 6D AGO

    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

  4. OCT 27

    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

  5. OCT 24

    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

  6. OCT 20

    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

  7. OCT 15

    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

  8. OCT 13

    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
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About

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.

Information

  • Creator
    Fourth Mind
  • Years Active
    2K
  • Episodes
    45
  • Rating
    Clean
  • Copyright
    © Fourth Mind
  • Show Website
    Intelligence Unbound