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The slide uses a hub-and-spoke diagram to illustrate how the MACE-MP-0 model integrates various material types.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide presents a technical case study on protein structure generation using AI models.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide illustrates the pipeline from data collection (UK Biobank/HCP) to model training (BrainLM) and downstream clinical prediction tasks.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide details the architecture and performance benefits of the Aurora model compared to traditional numerical weather prediction.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide explains a technical process for brain-to-image reconstruction using a specific neural architecture.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights a medical application of AI/neural decoding, featuring a photo of the patient's interface and a line chart showing error rate reduction.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights the limitations of current LLMs in generalization and the specific focus of the ARC benchmark on visual problem-solving.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Includes a data table comparing LLM, Human, and No-rule performance across different game types and transition metrics.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Includes a diagram of the Quiet-STaR algorithm.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The diagram illustrates the STRATEGIST framework, which uses a bi-level tree search combining high-level strategy learning with low-level self-play simulation.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide references 'grokking' (training beyond overfitting) and mechanistic interpretability findings from Ohio State University researchers.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide explains the FunSearch methodology and provides a performance comparison table against standard heuristics.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide details a two-stage RL process (offline then online) for VLM training.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide contrasts Intelligent Go-Explore (using LLMs) with Classic Go-Explore (using hand-crafted heuristics) through a process diagram.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide features a process diagram showing a booking flow with failure and success states.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights the transition from research to application (indicated by the pencil-to-wrench icon).2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide illustrates a technical process flow for automated RL task generation.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide uses a process flow diagram to explain the AI Scientist framework.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide describes a specific technical implementation (TestGen-LLM) and provides quantitative results (10% improvement, 73% acceptance rate).2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide features a technical diagram of the Wayve Vision Language Action Model and a screenshot of the PRISM-1 simulation.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Part of the State of AI 2024 report.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Uses a before-and-after framing to show the shift in industry sentiment.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide uses a narrative structure to highlight four specific technical developments in robotics by Google DeepMind.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide uses social media screenshots as evidence of community adoption.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide uses a visual metaphor of icons (pencil, image, robot) to represent the synthesis of generative models and robotics.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights two specific research directions: learning affordance from human video (CMU) and chain-of-thought reasoning (Berkeley/Stanford).2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights a specific technical solution (HumanPlus) to a known industry bottleneck (data for imitation learning).2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide highlights two specific research efforts: a Stanford/Columbia team focusing on gripper movement control and a UC San Diego team focusing on a two-part policy system for visual-based commands.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Includes visual examples of Open-TeleVision and Bunny-Vision Pro systems.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide includes two process diagrams illustrating 'Self-training with search' and 'Uncertainty-guided search at inference'.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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