🍬 The big GPT refresh

Hey folks,

You’d think after GPT 4.5 dropped, we’d be moving on to GPT 5... but no, OpenAI just decided to launch GPT 4.1. Yep, you read that right—it’s a weird little time warp. So, while 4.5 stole the spotlight with all the bells and whistles, 4.1 is suddenly here, acting like it’s the big new thing. If you’re confused, you’re not alone... but hey, maybe “back to basics” is the next frontier for AI. Check out some of these cool 4.1 built examples. Let’s dive in..

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🌐 OpenAI Drops GPT-4.1: Bigger Context + Better Code

🐝 The Buzz: OpenAI just rolled out GPT-4.1, and it's a massive upgrade over GPT-4o. This new model boasts a huge 1 million-token context window—up from GPT-4o's 128,000—and delivers better coding skills.

Three Models, One Family:

• Mini and GPT-4.1 Nano. Mini offers a more affordable option for developers, while Nano is the smallest, fastest, and most cost-effective model to date.

• Massive Memory Boost: 1 million tokens. That’s “feed it an entire novel and still have room for notes” levels of context.

• Way Better at Code: GPT-4.1 shows big gains in coding tasks—beating GPT-4o by 21%. Oh, and it’s also 26% cheaper to use.

• Phasing Out Older Models: OpenAI plans to retire GPT-4 from ChatGPT by April 30 and deprecate the GPT-4.5 preview in the API by July 14, positioning GPT-4.1 as the new standard.

💡 Takeaway: OpenAI isn’t just leveling up with GPT-4.1—it’s streamlining its lineup. With huge context windows, better reasoning, and cheaper performance, this drop is clearly aimed at devs, power users, and anyone who wants smarter AI.

🌏️ GPT-4.1 Prompting Guide: How to Get the Most Out of GPT 4.1

🐝 The Buzz: This guide from OpenAI's Cookbook provides practical tips to help you harness GPT-4.1's capabilities effectively.

• Agentic Workflows: GPT-4.1 excels in agentic problem-solving. Incorporate system prompt reminders to enhance performance:​

  • Persistence: Ensure the model continues until the task is fully resolved.​

  • Tool-Calling: Encourage the model to utilize available tools rather than guessing.​

  • Planning: Optional but beneficial—prompt the model to plan before executing tasks.​

Implementing these reminders can transform GPT-4.1 from a passive assistant to an active problem-solver.​

• Tool Integration: GPT-4.1 has improved in using tools provided via the API. Pass tools through the designated 'tools' field instead of embedding descriptions in prompts. This approach reduces errors and keeps the model within its training distribution.​

💡 Takeaway: GPT-4.1 offers enhanced capabilities, but to leverage them fully, clear and specific prompting is key. By guiding the model with structured prompts and utilizing API tools effectively, you can achieve more accurate and efficient results.

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🐝 AI buzz bits

🤖 Hugging Face has acquired French robotics startup Pollen Robotics, aiming to develop and offer affordable humanoid robots like Reachy 2 while fostering an open-source community for developers to suggest code improvements.

🧑‍💻 OpenAI is unveiling its latest AI agent, A-SWE, designed to handle software engineering tasks like bug testing and quality assurance, though previous overstatements about AI capabilities raise skepticism regarding its true effectiveness.

💻️ Google introduces the open-source Agent Development Kit (ADK), simplifying the creation of multi-agent systems with features like flexible orchestration, rich model ecosystems, and integrated evaluation, enabling developers to build sophisticated, production-ready applications seamlessly.

😇 Engineers from the Public University of Navarra have unveiled FlexiVol, the first interactive 3D holographic display allowing users to manipulate virtual objects through an elastic diffuser, effectively transforming the way we interact with holograms.

🖼️ Generative Art

a highly detailed robotic eyeball

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🤘 OpenAI naming conventions