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  • OpenAI Launches New Pro Tier at $100/Month for Codex

    By

    @ceobillionaire

    –

    We're going all in to help builders do even more with Codex. nitter.net/OpenAI/status/20422956… OpenAI (@OpenAI) We're updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We're introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we're increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas. https://nitter.net/OpenAI/status/2042295688323875316#m [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-09 17:51 UTC

  • OpenAI Launches $100 Pro Plan with 5x More Codex Usage

    By

    @ceobillionaire

    –

    We did it, say hi to the $100 plan! It should be the sweet spot for a ton of you. It comes with a ton of codex usage. And yes we are resetting the limits again too as I mentioned yesterday. Let’s keep building! OpenAI (@OpenAI) We’re updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We’re introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we’re increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas. — https://nitter.net/OpenAI/status/2042295688323875316#m

    → View original post on X — @ceobillionaire, 2026-04-09 17:51 UTC

  • Transform your reading list into a thinking system

    By

    @godofprompt

    –

    Your reading list is a gold mine you've never actually dug. Every article, transcript, and saved post is a raw input. This prompt turns all of it into a system you can think with. Drop your sources in. Let Claude do the compiling.

    → View original post on X — @godofprompt

  • OpenAI’s $100 ChatGPT Pro Tier: Pricing and Value Analysis

    By

    @kimmonismus

    –

    $100 ChatGPT pro tier official. -5x codex rates -access to ChatGPT pro -unlimited thinking Yeah, that’s really worth the $100. great deal, good pricing. Well done OpenAI OpenAI (@OpenAI) We’re updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We’re introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we’re increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas. — https://nitter.net/OpenAI/status/2042295688323875316#m

    → View original post on X — @kimmonismus, 2026-04-09 17:38 UTC

  • Pro tier pricing update with extended Codex usage promo

    By

    @openai

    –

    Our existing $200 Pro tier still remains our highest usage option. And as a thank you to our existing Pro users on the $200 tier, we’re extending our 2x Codex usage promo (until May 31st) and we’ve reset your Codex rate limits (yes, again).

    → View original post on X — @openai

  • OpenAI Adjusts Codex Usage Limits for Plus Subscribers

    By

    @openai

    –

    The Codex promotion for existing Plus subscribers ends today and as a part of this, we’re rebalancing Codex usage in Plus to support more sessions throughout the week, rather than longer sessions in a single day. The Plus plan will continue to be the best offer at $20 for

    → View original post on X — @openai

  • ChatGPT Pro: New $100/month tier with improved Codex

    By

    @scobleizer

    –

    We're updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We're introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we're increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas. [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-09 17:36 UTC

  • Model Fine-Tuning: Does It Work Without Training?

    By

    @saboo_shubham_

    –

    What is your actual question? Sorry, I don't get it. Are you asking if the model works without fine-tuning? The answer is yes. Or if you're asking, you really need to get your hands dirty with the code fine tuning to work? That's exactly the problem Unsloth Studio is solving.

    → View original post on X — @saboo_shubham_

  • Using AI to Monitor and Manage Comprehensive Lists Effectively

    By

    @scobleizer

    –

    Yup. I understand. My lists go for completeness. And now that I have AI to watch them all they are highly useful:

    → View original post on X — @scobleizer

  • RAG is an Ecosystem: Building Modular Production-Grade Systems
    RAG is an Ecosystem: Building Modular Production-Grade Systems

    By

    @ingliguori

    –

    This is one of the cleanest visual summaries of a production-grade RAG (Retrieval-Augmented Generation) stack I’ve seen. What it highlights clearly is an often-ignored reality: RAG is not a single tool — it’s an ecosystem. A solid RAG system spans multiple, interchangeable layers: LLMs (open & closed): Llama, Mistral, Qwen, DeepSeek, OpenAI, Claude, Gemini Frameworks: LangChain, LlamaIndex, Haystack — orchestration is the real differentiator Vector databases: Chroma, Pinecone, Qdrant, Weaviate, Milvus Data extraction: Web crawling, document parsing, structured ingestion Embeddings: Open (BGE, SBERT, Nomic) vs proprietary (OpenAI, Cohere, Google) Evaluation: RAGAS, TruLens, Giskard — because “it sounds right” is not a metric Key takeaway for leaders and builders: RAG success is less about which model you choose and more about: data quality retrieval strategy chunking & indexing evaluation loops cost / latency trade-offs This is why mature AI teams design modular stacks, not one-vendor pipelines. RAG is no longer experimental. It’s becoming foundational infrastructure for enterprise AI. #RAG #AgenticAI #EnterpriseAI #LLMs #AIArchitecture #GenAI #DataEngineering X (Twitter) RAG isn’t a tool. It’s a stack. LLMs Frameworks Vector DBs Embeddings Extraction Evaluation Winning teams design modular RAG systems — not single-vendor pipelines. This is how enterprise AI actually scales.

    → View original post on X — @ingliguori, 2026-04-09 17:25 UTC