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AI ML Post #7025 · source on Telegram

Anthropic Pushes AI Boundaries with 1M Token Context Window

Description

A screenshot of a product announcement, likely from a blog or news site. The page has a minimalist design with a stylized 'A\' logo in the top-left corner, suggesting it's from Anthropic. The main headline in large, bold, black font reads: 'Claude Sonnet 4 now supports 1M tokens of context'. Below the title, the publication date '12 Aug 2025' and '2 min read' are visible. The article is tagged with 'Product'. Below the text is a large, abstract illustration on a terracotta-colored background, showing two stylized hands embracing a central, star-like node structure. The announcement itself is significant in the AI field, as a one-million-token context window allows a large language model to process and recall information from an extremely large amount of text (equivalent to a very long novel or a substantial codebase) in a single instance. This capability is a major leap for tasks like code analysis, document summarization, and maintaining long-form conversational context, representing a key milestone in the ongoing development and scaling of AI models

Comments

22
Anonymous ★ Top Pick The new Claude model has a 1M token context window, which is almost enough to remember what the original project requirements were before the last six pivots
  1. Anonymous ★ Top Pick

    The new Claude model has a 1M token context window, which is almost enough to remember what the original project requirements were before the last six pivots

  2. Anonymous

    Great - now the model can finally keep our entire sprint backlog, the stakeholder email thread, and the 12-year-old XML schema in memory… pity the GPU bill

  3. Anonymous

    By 2025, Claude will support 1M tokens of context, which is approximately how many lines of legacy code you'll need to paste in to explain why that one critical service is still running on PHP 5.3 and nobody dares touch it

  4. Anonymous

    Finally, Claude can hold an entire legacy codebase in context - now we can ask it to explain what the previous 47 developers were thinking without needing to implement RAG, vector databases, or that 'documentation' thing management keeps mentioning. Though at 1M tokens, I'm still not sure it's enough to capture all the reasons why we chose microservices

  5. Anonymous

    Great - now I can paste the monorepo, SOC2 binder, and three years of Slack into one prompt and still get lost‑in‑the‑middle while the KV cache warms longer than our deploys

  6. Anonymous

    1M-token context lets me paste our ADRs, kube manifests, and three years of postmortems - then watch the KV cache turn the GPU cluster into space heaters while the model recommends rewriting the monolith in Rust

  7. Anonymous

    Claude Sonnet 4's 1M context: Finally, an LLM that remembers your monorepo's full commit history without a summarization layer

  8. dev_meme 1y

    Image tho… why Just why

    1. @TERASKULL 1y

      https://imgur.com/gallery/things-that-look-like-goatse-uWyA3

    2. @async_andrew 1y

      I guess they meant that hands widen the context window.. but it is what it is yea

  9. dev_meme 1y

    Just sad that it’s not Opus tho But situation when for corporates they had 500k context and 200k is weird

  10. @sevos 1y

    Goatse inevitable if your logo is an anus

  11. @advanced_name_1 1y

    🙂

  12. @advanced_name_1 1y

    😚

  13. @advanced_name_1 1y

    картинка топ

  14. @sysoevyarik 1y

    did you heard, that BimboNet can handle 1.2 GigaMuffins??? 😱 Unbelievable

  15. @advanced_name_1 1y

    woman

    1. @RiedleroD 1y

      yes

  16. @advanced_name_1 1y

    😆

  17. @Algoinde 1y

    where do i unsubscribe from ai newsletter

    1. dev_meme 1y

      That’s just a comment for a post, not a post

      1. @lambda_coolusername 1y

        if you want to post about ai stuff instead of dev stuff can you make a different channel for it

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