Whether in Slack channels, group DMs, or even 1:1 direct messages, we’ve been relying on Claude internally for more than a year. We are excited to make a difference for Slack customers around the world, and we welcome your feedback.
@anthropicai
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Claude AI Assistant Now Available in Slack Integration
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Claude can take on many different functions. It can remember and summarize entire Slack threads, answer questions about website content, iterate on tasks, and more! Work with Claude in Slack today: https://
slack.com/apps/A04KGS7N9
A8-claude
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Claude AI Use Cases: Summarization and Web Content Analysis
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Some examples of how to use Claude: Get a summary, with bullet points and prioritized action items, of lengthy Slack threads. Or share a website, have Claude memorize content from the web and engage in Q&A. pic.twitter.com/mvJhVdjPWb
— Anthropic (@AnthropicAI) 30 mars 2023Some examples of how to use Claude: Get a summary, with bullet points and prioritized action items, of lengthy Slack threads. Or share a website, have Claude memorize content from the web and engage in Q&A.
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Claude App for Slack Beta Launch: Virtual Teammate
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Today we are releasing the new Claude App for @SlackHQ, in beta. Now every company in the world has the chance to have a “virtual teammate” who can help make work more fun and productive. pic.twitter.com/YNpIH5caBP
— Anthropic (@AnthropicAI) 30 mars 2023Today we are releasing the new Claude App for @SlackHQ
, in beta. Now every company in the world has the chance to have a “virtual teammate” who can help make work more fun and productive. -
ARC Partnership Advances AI Safety and System Interpretability
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Working with ARC is part of our overall vision for AI safety and evaluation, as we work to build more steerable, predictable, and interpretable systems. You can read more about our approach to safety and the societal impacts of AI systems here:
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ARC advances AI alignment evaluation and security measurement
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We strongly agree there’s much more work to be done on alignment, security, and measurement. You can read about ARC’s specific approach to evaluation here: https://
evals.alignment.org/blog/2023-03-1
8-update-on-recent-evals/
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ARC Evals Tests Models for Deployment Readiness Assessment
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We’re excited to have ARC Evals test our models to assess their readiness for deployment. We look forward to sharing more about our approach to evaluating our systems in the coming months.
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Investigating Model Divergence: Adam Optimizer as Primary Cause
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In this research note, we explore a few different theories for this divergence. We looked at layer normalization and floating-point rounding as potential causes, and we were able to rule them out. This leaves the Adam optimizer as the most likely culprit.
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Residual Stream Theory: Reconsidering Privileged Basis and Large Coordinates
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In prior work, we've claimed that the residual stream has no "privileged basis" and individual coordinates should have no special significance. The presence of persistently-large coordinates suggested our theory might miss something.
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Optimizer’s Imprint on Model Basis-Dependence: Research Evidence
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While further research is needed to be totally conclusive, we believe we provide good evidence for this hypothesis. If this is the case, the basis-dependence we see in models is an imprint of the optimizer, rather than an intrinsic feature of the model or loss landscape.