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PulseAugur coverage of prediction — every cluster mentioning prediction across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 5 TOTAL
  1. RESEARCH · CL_245358 ·

    New benchmarks assess LLM reasoning over real-world wearable health data · 2 sources tracked

    Researchers have developed two new benchmarks, HealthLoopQA and WearableQA, designed to evaluate the capabilities of large language models (LLMs) in interpreting complex, longitudinal health data from wearable devices. …

  2. RESEARCH · CL_160947 ·

    New frameworks and benchmarks advance MLLM visual reasoning capabilities

    Researchers are developing new methods to enhance the visual reasoning capabilities of multimodal large language models (MLLMs). One approach, Beacon, focuses on improving "Mode Adaptiveness" and "Tool Effect" by intell…

  3. TOOL · CL_106982 ·

    Meta reportedly developing prediction market app 'Arena'

    Meta is reportedly developing a new app called Arena that will enter the prediction market space. This experimental app, directed by Mark Zuckerberg, aims to leverage Meta's large user base on platforms like Facebook an…

  4. COMMENTARY · CL_73956 ·

    AI agent bills hide true costs in token inflation, analysis finds

    A recent analysis highlights a significant accounting error in AI agent billing, where the focus on cost per token obscures the true expense of cost per successful task. This shift is driven by agentic workloads consumi…

  5. COMMENTARY · CL_73595 ·

    AI agent bills can surge 10x-700x due to hidden cost mechanisms

    AI agent bills can be unexpectedly high, ranging from 10x to 700x more than initial pilot costs. This surge is often due to five underlying mechanisms, including recursive self-correction loops, unbounded tool-calling, …