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🤖 OpenAI launches GPT-4.1 Family

🤖 OpenAI launches GPT-4.1 Family

PLUS: Is OpenAI building a social media platform?

Jaynit Makwana & Dhaval Makwana
April 15, 2025

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Hola, AI fam 🤖

In today’s WakeTheAI edition:

OpenAI launches GPT-4.1 Family
OpenAI is building a social network
Prompt: Summarize research papers with AI
Meta will train its AI on public EU user content
Google Classroom now lets teachers use Gemini AI
NVIDIA to build supercomputers in the U.S. with TSMC
Notion launches Notion Mail, an AI-powered Gmail client

OPENAI
🤖 OpenAI launches GPT-4.1 Family

Lazy Bits: OpenAI just released GPT-4.1, mini, and nano in the API—faster, cheaper, and smarter models with major upgrades in coding, instruction following, and long context.

In-Depth Details:

Model Family: GPT-4.1 outperforms GPT-4o and GPT-4.5 across the board, with models optimized for different latency and cost profiles.
Long Context Window: All models support up to 1 million tokens—more than 8x GPT-4o, enabling full-document comprehension, multi-step reasoning, and context-rich agent workflows.
Coding Performance: GPT-4.1 hits 54.6% on SWE-bench Verified, beating GPT-4.5 by 26.6%abs, and excels at frontend, diffs, and tool use across languages.
Instruction Following: On benchmarks like MultiChallenge and IFEval, GPT-4.1 shows double-digit accuracy gains over GPT-4o, with fewer extraneous edits.
Mini & Nano Models: GPT-4.1 mini is 83% cheaper and matches GPT-4o’s intelligence. GPT-4.1 nano is OpenAI’s fastest and cheapest model, ideal for autocompletion and classification.

Lazy Conclusion: GPT-4.1 marks a shift from AI that can do impressive things to AI that’s built to do them at scale. With smarter instruction following and 1M-token context, these models are ready for real-world agents, apps, and automation.

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OPENAI
🤯 OpenAI is building a social network

Lazy Bits: OpenAI is reportedly building a social network, an X-like platform powered by ChatGPT and image generation, signaling its move into real-time, user-generated data and direct competition with X (Musk) and Meta (Zuckerberg).

In-Depth Details:

Internal Prototype: OpenAI is testing a private feed for sharing ChatGPT-generated images; it’s still unclear if it’ll be standalone or integrated into ChatGPT.
Altman’s Quiet Pitch: Sam Altman has been privately showing the prototype to outsiders, collecting early feedback before making any public announcement.
Strategic Motivation: The goal is to access real-time user data, an edge already leveraged by Meta (via Facebook/Instagram) and Musk’s xAI (via X).
Competitive Pressure: Meta is building a standalone social AI assistant, and Musk recently merged X with xAI to deepen integration with Grok.
Data Flywheel Play: OpenAI sees a social layer as a way to generate viral human content that can improve future model performance.
Still Early-Stage: There’s no timeline for launch, but the project signals OpenAI’s intent to expand beyond tools into social-first AI experiences.

Lazy Conclusion: For years, OpenAI has lacked one thing its rivals have — real-time user data. A social platform could close that gap. And if integrated with ChatGPT, it might not just compete with X or Meta — it could redefine what a social network even is.

Summarize Research Papers With AI

You can ask ChatGPT to act as your research paper summarizer, providing a concise and objective summary of any research paper you provide.

ChatGPT will clearly communicate the main points and findings of the paper in its own words, without adding personal opinions or interpretations.

This approach ensures that the key information is accurately conveyed, giving you a clear understanding of the paper's content in a concise format.

Prompt:

You are a research paper summarizer tasked with providing a concise and objective summary of a research paper on a specific topic.

I will provide you with a research paper on a specific topic, and you will create a summary of the main points and findings of the paper.

You must accurately communicate the paper’s main points and findings without including personal opinions or interpretations.

Your summary should be written in your own words, avoiding direct quotes from the paper, and should reflect the content of the original paper.

Ensure that your summary is clear, concise, and accurately conveys the key information from the paper.

Result:

Meta will train its AI on public EU user content and interactions to better reflect European cultures. Users can opt out; private messages remain excluded.
Notion launches Notion Mail, an AI-powered Gmail client that lets users organize, reply, and schedule emails within a customizable, modular inbox.
Google Classroom now lets teachers use Gemini AI to auto-generate quiz questions from text, with filters for grade, format, and skills available via paid plans.
NVIDIA to build AI supercomputers in the U.S. with TSMC for the first time, with Blackwell chips made in Arizona and full systems assembled in Texas by 2026.
Sam Altman says OpenAI will roll out better model names by summer. After “GPT-4o,” even he admits it’s time for names people can actually remember.