We're excited to see how people are using 100K context windows! https://t.co/cnh4EX5wkd
— Anthropic (@AnthropicAI) 14 juin 2023
We're excited to see how people are using 100K context windows!
@anthropicai
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Exploring 100K Context Windows in AI Applications
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AI Accountability and Auditing Mechanisms for Positive Impact
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We believe that AI could have transformative effects in our lifetime and we want to ensure that these effects are positive. The creation of robust AI accountability and auditing mechanisms will be vital to realizing this goal. Read our full post here:
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Anthropic Opens London Office to Expand UK Team
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Anthropic is excited to announce we've opened a London office – we're thrilled to be growing the UK Anthropic team. If you are excited about our mission of creating research and products that put safety at the frontier, check out our careers page:
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Transformer Circuits Research Update and External Contributions
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In addition to our work, we highlight recent work by a number of researchers at other groups which we believe will be of interest if you find our papers interesting. https://
transformer-circuits.pub/2023/may-updat
e/index.html#external-research
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Mechanistic Interpretability Research Directions and Future Goals
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Finally, we’ve published a separate high-level note on where we’re hoping mechanistic interpretability research can go. We think it’s good to occasionally step back from our research and reflect on what we're aiming for. https://
transformer-circuits.pub/2023/interpret
ability-dreams/index.html
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Transformer Circuits Research Updates and Community Comments
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We also list new comments and any corrections on our old papers. We periodically add comments (both from ourselves and others) on previous papers, but they can easily be missed since they're just added to the bottom of existing papers. https://
transformer-circuits.pub/2023/may-updat
e/index.html#new-comments
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Transformer Circuits Updates: Dictionary Learning and Model Features
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These updates include discussions of attacking superposition with dictionary learning; Defining model features as the simplest factorization; An interesting “two circle” phenomenon in memorization, and several more results from our team. https://
transformer-circuits.pub/2023/may-updat
e/index.html
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Interpretability Team Launches Informal Research Updates Series
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Our Interpretability team is experimenting with “Updates” – small, informal research notes in between our major papers.
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Funding AI Products and Risk Research Initiatives
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The funding will support our efforts to continue building AI products that people can rely on, and generate new research about the opportunities and risks of AI.
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AI Company Raises $450M in Series C Funding Round
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We are pleased to announce that we have raised $450 million in Series C funding led by @sparkcapital with participation from @Google
, @SalesforceVC
, @sound_ventures_
, Zoom Ventures, and others.