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Research#llm📝 BlogAnalyzed: Jan 3, 2026 07:21

Anthropic Enables Coding Tasks in Slack with Claude Code (Research Preview)

Published:Dec 10, 2025 15:12
1 min read
Publickey

Analysis

Anthropic has expanded the functionality of its 'Claude app for Slack' to allow users to delegate debugging and code review tasks to Claude Code directly within Slack. This is currently available as a research preview. The integration streamlines the coding workflow by bringing AI-powered assistance directly into the communication platform.
Reference

You can now delegate tasks to Claude Code directly from Slack. Simply tag @.Claude in a chann……

Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:27

LWiAI Podcast #222 - Sora 2, Sonnet 4.5, Vibes, Thinking Machines

Published:Oct 8, 2025 06:04
1 min read
Last Week in AI

Analysis

The article summarizes recent AI developments, including OpenAI's Sora 2, Anthropic's Claude Sonnet 4.5, and Meta's 'Vibes'. It provides a concise overview of key announcements from major players in the AI industry.
Reference

Research#llm👥 CommunityAnalyzed: Jan 3, 2026 06:45

Claude Sonnet 4.5

Published:Sep 29, 2025 16:52
1 min read
Hacker News

Analysis

The article announces the release of Claude Sonnet 4.5, likely an update to an AI model. The provided link points to a system card, which typically details the model's capabilities and limitations.

Key Takeaways

Reference

System card: <a href="https:&#x2F;&#x2F;assets.anthropic.com&#x2F;m&#x2F;12f214efcc2f457a&#x2F;original&#x2F;Claude-Sonnet-4-5-System-Card.pdf" rel="nofollow">https:&#x2F;&#x2F;assets.anthropic.com&#x2F;m&#x2F;12f214efcc2f457a&#x2F;original&#x2F;Cla...</a>

AI News#LLM👥 CommunityAnalyzed: Jan 3, 2026 06:41

Anthropic publishes the 'system prompts' that make Claude tick

Published:Aug 27, 2024 04:45
1 min read
Hacker News

Analysis

The article announces the release of Anthropic's system prompts for their LLM, Claude. This is significant because it provides insight into how the model is designed and instructed, potentially allowing for better understanding, modification, and evaluation of the model's behavior. It could also lead to the discovery of vulnerabilities or biases within the system.
Reference