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- OpenAI Launches GPT-4.1 🤖
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In today's edition: 🔥
🍏 Apple's radical AI training approach
🎥 ByteDance’s efficient Seaweed video AI
👀 NVIDIA vow to Trump with $500B AI manufacturing push in US
🐬 Google’s AI to decode dolphin speech
💡 AI Tutorial:How to build full apps from scratch in minutes for free
🤯 5 AI Tools to checkout
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OpenAI just released GPT-4.1, a new API-only model family built specifically for developers — featuring major improvements in coding abilities, instruction following, and the ability to process up to 1M tokens of context.
The details:
The new API-only lineup includes GPT-4.1, 4.1 mini, and 4.1 nano, significantly outperforming GPT-4o on key developer tasks.
All three models support 1M token contexts, enough for 8 full React codebases, while being 26% cheaper than GPT-4o for typical queries.
The models also show gains in real-world tasks like frontend development, with evaluators preferring 4.1's web interfaces 80% of the time over GPT-4o.
Pricing is reduced across the board, with GPT-4.1 coming in 26% cheaper than GPT-4o and 4.1 nano appearing as OpenAI's fastest and cheapest model yet.
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Apple has discovered a new way to train its AI models without directly collecting user data—protecting user privacy while improving its AI capabilities. To protect privacy, Apple trains its models using synthetic data, but this isn’t always reflective of real-world data—resulting in ineffective responses—which explains why it’s struggled with its Apple Intelligence features.
ByteDance introduced Seaweed, a hyper-efficient 7B-parameter video generation model that is competitive against much larger models like Kling 1.6, Google Veo, and Wan 2.1, despite using significantly less compute resources.
NVIDIA has bought over 1M square feet of space to manufacture AI chips and build AI infrastructure in the US and will ramp up chip production at its existing plants (in Dallas and Houston) over 15 months. This comes as NVIDIA’s most advanced AI chip—H20—managed to swerve export restrictions to China, thanks to a deal made with President Trump to pour capital into US-based AI infrastructure.
Google unveiled DolphinGemma, a specialized AI model designed to analyze and generate dolphin vocalizations — designed in collaboration with researchers at Georgia Tech to potentially uncover patterns in their communication.
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AI Tutorial
How to build full apps from scratch in minutes for free
Google recently released Firebase Studio, an app that lets you build, modify, and deploy any app using natural language, all in one place — and, unlike alternatives like Cursor and Bolt, it’s completely free.
Go to the Firebase Studio website and sing in with your Google account.
Enter your prompt
For example: 'Create an app that turns a theme or topic into a mind map.'
Firebase Studio will create a feature list, choose a color palette, and decide on a layout and animation.
You can edit these, and once you're satisfied, click ‘Prototype this App.’
Wait a few seconds, and once the prototype is ready, you can start testing it.
You can make changes to the design, fix issues, and add features all just through chat, using natural language.
When done, export the code or deploy it directly with Firebase Studio.
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🔥AI Tools to supercharge your productivity
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🧠AI Research
[arXiv is a free online library where researchers share pre-publication papers]
📄 DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
📄 FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis
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⚡️Quick AI News Roundup
🤖Trump says semiconductor tariffs are next
🤖Meta to train AI on public content in the EU
🚀Hugging Face acquired Pollen Robotics and introduced Reachy 2
🔥Meta Fights to Keep Instagram and WhatsApp, as Antitrust Trial Begins
🔍LM Arena launched the Search Arena Leaderboard to evaluate LLMs
🤖Prompt Engineering
🎯 SEO
Generate a list of 5 internal linking opportunities within <business>'s website to guide <persona> towards content that highlights <USP> and addresses their <challenges>.If you found this prompt useful,
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