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Grindr Pivots to Anthropic, Amazon to Power AI Wingman Feature

Grindr Pivots to Anthropic, Amazon to Power AI Wingman Feature

Bloomberg30-04-2025

Grindr Inc. said it's using artificial intelligence tools from Amazon.com Inc. and Anthropic to develop features for its 'Wingman' product, rather than relying on chatbots from startup Ex-human Inc.
The LGBTQ dating brand is rolling out a feature from its product roadmap called 'A-List,' an automatically curated list that surfaces 'meaningful past connections, high-potential matches' and chat summaries. The goal is for users to pick up where they left off without digging through entire chat histories. 'A-list' will be available to 25% of Grindr users by the end of April and is powered by Anthropic's Claude Sonnet 3.7 model and Amazon Web Services' Bedrock tool.

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Reddit sues AI company Anthropic for allegedly ‘scraping' user comments to train chatbot Claude
Reddit sues AI company Anthropic for allegedly ‘scraping' user comments to train chatbot Claude

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timean hour ago

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Reddit sues AI company Anthropic for allegedly ‘scraping' user comments to train chatbot Claude

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Claude Opus 4 achieves record performance in AI coding capabilities
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Anthropic's latest AI model, Claude Opus 4, has surpassed OpenAI's GPT-4.1 in coding abilities, marking a significant shift in how AI systems can assist with software development tasks. The new... This story originally appeared on Calendar Anthropic's latest AI model, Claude Opus 4, has surpassed OpenAI's GPT-4.1 in coding abilities, marking a significant shift in how AI systems can assist with software development tasks. The new model demonstrates capabilities that transform AI from a quick-response tool into a sustained collaborator, capable of working on complex coding projects for extended periods. The most notable achievement of Claude Opus 4 is its ability to maintain autonomous coding sessions lasting up to seven hours. This represents a significant advancement in AI attention span and task persistence, enabling the model to tackle complex programming challenges without human intervention for significantly longer periods than previous systems. Record-Breaking Performance on Industry Benchmarks Claude Opus 4 scored 72.5% on SWE-bench, a rigorous benchmark used to evaluate AI coding abilities. This score sets a new record in the industry and places Anthropic's model ahead of OpenAI's GPT-4.1, which had previously led in this area. SWE-bench tests an AI's ability to understand, modify, and debug real-world codebases—skills that are directly applicable to professional software development environments. The benchmark evaluates: Code comprehension across multiple programming languages Bug identification and resolution Implementation of new features in existing codebases Adherence to coding standards and best practices The 72.5% score indicates that Claude Opus 4 can complete nearly three-quarters of the complex software engineering tasks presented to it, a substantial improvement over previous AI models. From Assistant to Collaborator: A New Paradigm This represents a fundamental shift in how AI can participate in software development,' said a software engineer who has tested the new model. Instead of just answering questions or writing small code snippets, these systems can now maintain context and work through multi-hour projects.' The extended operational timeframe of seven hours means Claude Opus 4 can tackle larger, more complex programming tasks that require sustained attention and iterative problem-solving. This capability transforms the role of AI in programming from a quick reference tool to a genuine collaborator that can: Maintain awareness of project requirements throughout extended development sessions Remember earlier decisions and their rationale Apply consistent coding styles and patterns across an entire project Debug issues that require a deep understanding of the codebase Implications for Software Development The advancement in AI coding capabilities has significant implications for the development of software. For professional developers, Claude Opus 4 could serve as a productivity multiplier, handling routine coding tasks while allowing humans to focus on higher-level design and architecture decisions. For organizations, this technology could help address the persistent shortage of skilled developers by augmenting existing teams and potentially making software development more accessible to those with limited coding experience. However, questions remain about how these systems will integrate into existing development workflows and what impact they might have on programming jobs. While some experts suggest these tools will primarily augment human developers rather than replace them, the rapid advancement in capabilities has prompted discussions about the changing nature of software engineering work. The competition between Anthropic and OpenAI continues to drive rapid innovation in AI capabilities, with each company pushing the boundaries of what their models can accomplish. As these systems become more capable of extended, complex work, they may find applications beyond coding in other fields that require sustained problem-solving and creativity. The post Claude Opus 4 achieves record performance in AI coding capabilities appeared first on Calendar.

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