President @AnthropicAI. Formerly @OpenAI, @Stripe, congressional staffer, global development

Joined September 2011
1 Photos and videos
Daniela Amodei reposted
Introducing Claude 2! Our latest model has improved performance in coding, math and reasoning. It can produce longer responses, and is available in a new public-facing beta website at claude.ai in the US and UK.
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Daniela Amodei reposted
Neural networks often pack many unrelated concepts into a single neuron – a puzzling phenomenon known as 'polysemanticity' which makes interpretability much more challenging. In our latest work, we build toy models where the origins of polysemanticity can be fully understood.
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Daniela Amodei reposted
In "Language Models (Mostly) Know What They Know", we show that language models can evaluate whether what they say is true, and predict ahead of time whether they'll be able to answer questions correctly. arxiv.org/abs/2207.05221
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Daniela Amodei reposted
Transformer MLP neurons are challenging to understand. We find that using a different activation function (Softmax Linear Units or SoLU) increases the fraction of neurons that appear to respond to understandable features without any performance penalty. transformer-circuits.pub/202…
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Daniela Amodei reposted
In a new paper, we show that repeating only a small fraction of the data used to train a language model (albeit many times) can damage performance significantly, and we observe a "double descent" phenomenon associated with this. arxiv.org/abs/2205.10487
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This includes work on interpretability - transformer-circuits.pub/202… and transformer-circuits.pub/202… - and some interpretability resources like Garcon transformer-circuits.pub/202… and Pysvelte github.com/anthropics/PySvel…
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I’m so proud of the amazing team we’ve assembled at Anthropic and the research we’ve done to date.
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Excited to announce our latest fundraising round! We’re genuinely honored to be entrusted with the resources to continue our work in frontier AI safety and research.
We’ve raised $580 million in a Series B. This will help us further develop our research to build usable, reliable AI systems. Find out more: anthropic.com/news/announcem…
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Daniela Amodei reposted
We've trained a natural language assistant to be more helpful and harmless by using reinforcement learning with human feedback (RLHF). arxiv.org/abs/2204.05862
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Daniela Amodei reposted
On the @FLIxrisk podcast, we discuss AI research, AI safety, and what it was like starting Anthropic during COVID. futureoflife.org/2022/03/04/…
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Daniela Amodei reposted
In our second interpretability paper, we revisit “induction heads”. In 2 layer transformers these pattern-completion heads form exactly when in-context learning abruptly improves. Are they responsible for most in-context learning in large transformers? transformer-circuits.pub/202…
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Daniela Amodei reposted
Our first societal impacts paper explores the technical traits of large generative models and the motivations and challenges people face in building and deploying them: arxiv.org/abs/2202.07785
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Daniela Amodei reposted
Our first interpretability paper explores a mathematical framework for trying to reverse engineer transformer language models: A Mathematical Framework for Transformer Circuits: transformer-circuits.pub/202…
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We’re going to be focused on pushing forward our research for the next few months and are hoping to have more to share later this year. Thrilled to be working with so many talented colleagues!
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Excited to announce what we’ve been working on this year - @AnthropicAI, an AI safety and research company. If you’d like to help us combine safety research with scaling ML models while thinking about societal impacts, check out our careers page anthropic.com/#careers
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Daniela Amodei reposted
Hello world! You can read our launch announcement here: anthropic.com/news/announcem…
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