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189
Includes a concrete example of a ChatGPT-4 interaction demonstrating sycophancy.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
192
The slide describes 'Direct Alignment from AI Feedback' (OAIF), a method using an LLM as an annotator to perform online DPO.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
197
The slide references a specific experiment with 45 occurrences out of 32,768 trials.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
198
The slide showcases a specific technical breakthrough in AI interpretability, using the 'Golden Gate Bridge' feature as a primary example.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
199
Includes a screenshot of an SAE viewer tool and a histogram of activation density.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
200
The slide highlights three specific research developments: a CMU/Chicago team's work on binary concept variables, Moscow-based AI Research Institute's work on linear transformations, and Google's Patchscopes method.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
201
Discusses the dual-use nature of interpretability research in AI safety.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
203
The slide highlights the dual-use nature of AI tools in biology (e.g., RFDiffusion) and the emerging governance response.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
205
2024 Air Street Capital The State of AI Report 20242024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Action (Now What)1 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
207
This is the final slide of the report.2024 Air Street Capital The State of AI Report 2024 · Air Street Capital
Consulting deck VC research Beat · The Action (Now What)1 hit
12
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
13
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
14
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 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
17
Discusses technical advancements in LLM inference strategies.2025 Air Street Capital The State of AI Report 2025 · Air Street Capital
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18
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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19
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
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
20
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
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