Our experiment found that larger, newer AI models tended to be more persuasive – a finding with important implications as LMs continue to scale. Read more about our research here: http://
anthropic.com/news/measuring
-model-persuasiveness
…, and access the data from our experiment here: https://
huggingface.co/datasets/Anthr
opic/persuasion
…
LLMS
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Larger AI Models Prove More Persuasive Research Finds
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Language Models Persuasion Impact on Opinion Change
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In our experiment, a person is given an opinionated claim on a topic and asked to rate their level of support. They’re then presented with an argument in support of that claim, written by LMs or another person, and asked to re-rate their support of the original claim.
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Measuring Language Model Persuasiveness Compared to Humans
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To assess persuasiveness, we measure the shift in people’s support between their initial view on a claim and their view after reading arguments written by either a human or an LM. We define the persuasiveness metric as the difference between the support scores.
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Claude 3 Opus Arguments Match Human Persuasiveness Quality
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We find that Claude 3 Opus generates arguments that don't statistically differ in persuasiveness compared to arguments written by humans. We also find a scaling trend across model generations: newer models tended to be rated as more persuasive than previous ones.
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Anthropic Research: Measuring Language Model Persuasiveness
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New Anthropic research: Measuring Model Persuasiveness We developed a way to test how persuasive language models (LMs) are, and analyzed how persuasiveness scales across different versions of Claude. Read our blog post here: http://
anthropic.com/news/measuring
-model-persuasiveness
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Synthetic Data and Video Sources for AI Model Training
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Probably a ridiculous amount of synthetic data + previously untapped sources like full videos (not just Whisper-transcribed YouTube), music, etc.
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Three AI Trends Shaping the Future: Frontier Models and Autonomous Agents
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Three trends to watch that will shape the future of what AI will mean for us:
1) The unknown capabilities of frontier models
2) Growing evidence of "superhuman" LLM performance in some areas
3) Autonomous agents
Taken together, the implications are large. -
OpenAI Anthropic DeepMind Training 10x Larger Models
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Remember, OpenAI, Anthropic and DeepMind are training 10x bigger models than Opus
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Discrete Space Prompting vs Prefix Tuning Model Optimization
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well i'm pretty certain it all happens in *discrete* space, via prompting, and strings; prefix tuning requires training a model, taking gradients, dense parameters, etc.
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Multimodal LLM Assistants Transform Patient Care Paradigm
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NY hospital exec: Multimodal LLM assistants will create a “paradigm shift” in patient care
by @mmarshall @VentureBeat Read more: https://
buff.ly/48XTdNV #ArtificialIntelligence #HealthTech #Technology #Innovation #AI cc: @pascal_bornet @yvesmulkers @kuriharan