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May 27 2 tweets 1 min read Read on X
We're rolling out voice mode in beta on mobile.

Try starting a voice conversation and asking Claude to summarize your calendar or search your docs.
Voice mode in beta is available in English and coming to all plans in the next few weeks.

Download the Claude mobile app: claude.ai/download

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More from @AnthropicAI

May 22
Introducing the next generation: Claude Opus 4 and Claude Sonnet 4.

Claude Opus 4 is our most powerful model yet, and the world’s best coding model.

Claude Sonnet 4 is a significant upgrade from its predecessor, delivering superior coding and reasoning. A benchmarking table titled Claude 4 benchmarks comparing performance metrics across various capabilities including coding, reasoning, tool use, multilingual Q&A, visual reasoning, and mathematics.
Claude Opus 4 and Sonnet 4 are hybrid models offering two modes: near-instant responses and extended thinking for deeper reasoning.

Both models can also alternate between reasoning and tool use—like web search—to improve responses. Image
Both Claude 4 models are state-of-the-art on SWE-bench Verified, which measures how models solve real software issues.

As the best coding model, Claude Opus 4 can work continuously for hours on complex, long-running tasks—significantly expanding what AI agents can do. Image
Read 8 tweets
Apr 23
New report: How we detect and counter malicious uses of Claude.

For example, we found Claude was used for a sophisticated political spambot campaign, running 100+ fake social media accounts across multiple platforms.
This particular influence operation used Claude to make tactical engagement decisions: commenting, liking, or sharing based on political goals.

We've been developing new methods to identify and stop this pattern of misuse, and others like it (including fraud and malware).
In this case, we banned all accounts that were linked to the influence operation, and used the case to upgrade our detection systems.

Our goal is to rapidly counter malicious activities without getting in the way of legitimate users.
Read 4 tweets
Apr 15
Today we’re launching Research, alongside a new Google Workspace integration.

Claude now brings together information from your work and the web.
Research represents a new way of working with Claude.

It explores multiple angles of your question, conducting searches and delivering answers in minutes.

The right balance of depth and speed for your daily work. Claude interface with user asking Claude to review calendar, emails, documents and industry trends for tomorrow's Acme Corporation sales call. Shows user clicking the Research (BETA) button.
Claude can also now connect with your Gmail, Google Calendar, and Docs.

It understands your context and can pull information from exactly where you need it. Claude interface showing Claude searching calendar and Gmail, with progress indicated by a loading spinner.
Read 6 tweets
Apr 8
New Anthropic research: How university students use Claude.

We ran a privacy-preserving analysis of a million education-related conversations with Claude to produce our first Education Report. Image of the Anthropic Education Report: How University Students Use Claude.
Students most commonly used Claude to create and improve educational content (39.3% of conversations) and to provide technical explanations or solutions (33.5%). Common student requests from the top four subject areas, based on the 15 most frequent requests in Clio within each subject.
Which degrees have the most disproportionate use of Claude?

Perhaps not surprisingly, Computer Science leads the field, with 38.6% of Claude conversations related to the subject, which makes up only 5.4% of US degrees. Comparing the percentage of Claude.ai student conversations that are related to an National Center for Education Statistics (NCES) subject area (gray) to the percentage of U.S. college students with an associated major (orange). Note that percentages don’t sum to 100% as some conversations were classified under the “Other” category from the NCES which we exclude from our analysis.
Read 8 tweets
Apr 3
New Anthropic research: Do reasoning models accurately verbalize their reasoning?

Our new paper shows they don't.

This casts doubt on whether monitoring chains-of-thought (CoT) will be enough to reliably catch safety issues. Title card for the paper "Reasoning Models Don't Always Say What They Think", by Chen et al.
We slipped problem-solving hints to Claude 3.7 Sonnet and DeepSeek R1, then tested whether their Chains-of-Thought would mention using the hint (if the models actually used it).

Read the blog: anthropic.com/research/reaso…An example of an unfaithful CoT generated by Claude 3.7 Sonnet. The model answers D to the original question (upper) but changes its answer to C after we insert a metadata hint to the prompt (middle), without verbalizing its reliance on the metadata (lower).
We found Chains-of-Thought largely aren’t “faithful”: the rate of mentioning the hint (when they used it) was on average 25% for Claude 3.7 Sonnet and 39% for DeepSeek R1. Graph comparing the four models (Claude 3.5 and 3.7 Sonnet, and DeepSeek V3 and R1) on their faithfulness - the fraction of time they mentioned having used the clue.
Read 8 tweets
Mar 27
Last month we launched our Anthropic Economic Index, to help track the effect of AI on labor markets and the economy.

Today, we’re releasing the second research report from the Index, and sharing several more datasets based on anonymized Claude usage data. Image
The data for this second report are from after the release of Claude 3.7 Sonnet. For this new model, we find a small rise in the share of usage for coding, as well as educational, science, and healthcare applications.

Read the blog post: anthropic.com/news/anthropic…In the two months since our original data sample, we’ve seen an increase in the share of usage for coding, education, and the sciences. Graph shows share of Claude.ai Free and Pro traffic across top-level occupational categories in O*NET. Grey shows the distribution from our first report covering data from Dec ‘25 - Jan ‘25. Colored bars show an increase (green) and decrease (blue) in the share of usage for our new data from Feb ‘25 - March ‘25. Note that the graph shows the share of usage rather than absolute usage.
We saw little change in the overall balance of “augmentation” versus “automation”, but some changes in the specific interaction modes within those categories.

For instance, there was a small increase in learning interactions, where users ask Claude for explanations. The balance of augmentation and automation has stayed relatively constant in the two months between our data samples (V1 and V2), though the share of Learning conversations has grown appreciably.
Read 7 tweets

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