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184
The slide describes two specific automated red teaming methodologies: Rainbow Teaming and AdvPrompter.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
185
The slide describes a specific technical method (CrossMax) to improve model robustness.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
187
Includes a technical diagram (Figure 1) illustrating the transformation of model outputs into accuracy metrics.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
190
The slide uses a series of scatter plots with fitted curves to demonstrate the relationship between KL divergence and win rates, suggesting that DPO is susceptible to over-optimization.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
191
The slide discusses the persistence of RLHF in AI training, citing Google DeepMind research and Cohere's RLOO optimization.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
193
The slide references specific research methodologies (semantic entropy and Google DeepMind's SAFE) to diagnose and mitigate LLM reliability issues.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
194
Discusses CriticGPT and Cohere's research on LLM-generated critiques.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
195
The slide discusses uncertainty calibration in LLMs using fine-tuning techniques like LoRA.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
196
The table displays percentage scores for various AI companies across different transparency criteria, with an average column and row.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
202
The slide highlights the ongoing debate and lack of consensus on whether LLMs significantly increase biological threat risks compared to standard internet access.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
204
The chart shows 'Impersonation' as the most frequent tactic.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Implications (So What)Loop · Pattern Hunter1 hit
206
The slide is part of the 'state of ai' report series.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Action (Now What)1 hit
05
The slide serves as a preface/introduction to the report structure.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
Consulting deck VC research Beat · Surface Observation1 hit
06
2025 Air Street Capital The State of AI Report 20252025 Air Street Capital The State of AI Report 2025 · Air Street Capital
Consulting deck VC research Beat · Surface Observation1 hit
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This slide serves as a foundational reference for the technical terminology used throughout the report.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
Consulting deck VC research Beat · Surface Observation1 hit
15
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
16
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
21
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
22
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
23
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
24
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
25
References a specific research finding regarding model activations and test awareness.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
26
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
27
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
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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
Consulting deck VC research Beat · The Facts (What)1 hit
33
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
Consulting deck VC research Beat · The Facts (What)1 hit
34
The slide highlights the shift toward verifiable AI reasoning in mathematics.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
35
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
Consulting deck VC research Beat · The Facts (What)1 hit
37
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
Consulting deck VC research Beat · The Facts (What)1 hit
38
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
Consulting deck VC research Beat · The Facts (What)1 hit