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The slide summarizes viewpoints from Daron Acemoglu, Goldman Sachs, and Noah Smith, and references a UBI trial funded by Sam Altman.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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The slide uses a screenshot of a social media post as a visual example of bot-related misinformation.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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Includes a screenshot of a tweet by Leopold Aschenbrenner containing a chart on compute scaling.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
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2025 Air Street Capital The State of AI Report 20252025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide highlights the shift towards inference-time scaling (test-time compute) as a key driver for AI reasoning capabilities.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide uses a line chart to show scaling laws and a bar chart for comparative performance on AIME 2024.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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Includes a bar chart comparing model performance and a line chart showing AIME accuracy improvement during training.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide highlights the architectural shift to DeepSeek Sparse Attention (DSA) in V3.2-Exp to reduce cost and latency.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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Discusses technical advancements in LLM inference strategies.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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2025 Air Street Capital The State of AI Report 20252025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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Slide compares longitudinal performance trends (left) with a static ranking of current models (right).2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The chart shows 'Reported vs Measured Results' and 'Variance DS-R1-1.5B' to demonstrate that performance swings are often due to variance rather than actual model improvement.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide presents a debate regarding the performance of reasoning models (LRMs) versus standard LLMs across different complexity levels.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide uses a specific example of a math problem to demonstrate the impact of 'adversarial triggers' on model reasoning.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide highlights three specific research papers/projects: GSM-Symbolic, DataAlchemy, and XReasoning.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide highlights that CoT utility stems from structural encoding of reasoning rather than literal faithfulness.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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References a specific research finding regarding model activations and test awareness.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide contrasts the effectiveness of safety-first pretraining (SafeLM) with the broader skepticism regarding the persistence of biases in web-scale models.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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Discusses the trade-off between CoT monitoring effectiveness and the emergence of obfuscated reward hacking in AI models.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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Includes a diagram illustrating the difference between chain of thought and opaque computation.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide compares traditional Chain-of-Thought (CoT) with the proposed Chain of Continuous Thought (COCONUT) method.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide features two distinct charts illustrating performance gains from specific data/training methodologies.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide uses a chronological/evolutionary progression of AI training methods.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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2025 Air Street Capital The State of AI Report 20252025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide discusses the debate on whether RLVR creates new reasoning or just reshuffles sampling, citing specific research from Tsinghua and MSR Asia.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide highlights the shift toward verifiable AI reasoning in mathematics.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The chart shows that LoRA ranks 1, 16, and 256 perform similarly to full fine-tuning in terms of peak accuracy, but with different stability profiles.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The chart shows Bits per Byte performance across different model sizes and training methods (Base, Context, Fine-Tuning).2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The slide discusses a technical breakthrough in AI model merging (Subspace Boosting) to prevent redundancy.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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The chart shows a Pareto frontier comparison between Muon and AdamW, illustrating better compute-time efficiency for Muon.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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