Welcome, AI enthusiasts.
NVIDIA researchers just achieved a breakthrough in robot autonomy —creating an AI that writes reward code so robots can self-improve on their own.
Will self-training robots unlock limitless potential for AI learning? Let’s dive in…
🦾 NVIDIA breakthrough enables robots to teach themselves
🍎 Apple's big plan to integrate AI across devices
🛠️ 10 New AI tools
🎥 Streamline video creation with ChatGPT
🤖 3 Quick AI updates
The Rundown: NVIDIA researchers just created an AI agent called Eureka, which can automatically generate algorithms to train robots — enabling them to learn complex skills faster.
Eureka taps large language models to write reward code for robot reinforcement learning.
The system continually improves by evaluating results and modifying rewards — outperforming human-written algorithms over 80% of the time in tests.
Eureka trained a robot hand to expertly spin pens, open drawers, and perform other dextrous tasks.
Why it matters: We're glimpsing a future where robots learn skills as dynamically as humans — and unlocking this reward function and self-improvement is very powerful and could supercharge growth.
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The Rundown: After being caught off-guard by the AI wave, Apple is now mobilizing to build generative AI into all of its products and catch up to rivals, according to a new report from Bloomberg.
Apple wants to deeply integrate a new version of Siri, powered by a proprietary large language model.
Planned new AI features include smarter auto-complete in Messages, playlist creation in Music, code suggestions in Xcode, and more.
Internal concerns remain about whether Apple's AI tech can match the strengths of models like ChatGPT, LaMDA, and Claude.
Apple is still debating tradeoffs between on-device versus cloud processing for different AI features.
The relevance: Apple has never been a company worried about the first-mover advantage — but is now playing major catch-up. Apple knows its reputation is at stake if it cedes AI leadership — we expect some bold action.
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🧩 OctiAI- An innovative prompt generator powered by AI (link)
🎥 Descript- A powerful all-in-one video and podcast editing tool using AI (link)
📹 Pictory- Automatically create short, branded videos from long-form content (link)
💬 Chatbase- Create a ChatGPT-like chatbot widget for your website (link)
📱 Synthesia- Create professional videos without mics, cameras, or actors using an AI-generated character (link)
💘 Longshot- ChatGPT for enterprises. Upload your docs, fact check, ensure zero hallucinations and integrate anywhere (link)
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Want to create video content but don’t feel like you have the skills? AI with plugins makes producing videos easier than ever — follow the steps below to make your own:
Step 1: Install the CapCut plugin: In ChatGPT, go to the plugin store and enable the CapCut plugin.
Craft a detailed prompt: Describe the video you want to create including length, style, visuals etc. Ex: "Generate a 30-second explainer video about AI. Make the dimensions 16:9 and make the video as realistic as possible."
Review/refine: CapCut will generate a script and assets. Prompt it to iteratively improve (music, imagery/video, script elements, etc.) as needed.
Export your video: Download the final video when you're happy with the result!
With intelligent prompts and easy refinement, ChatGPT and CapCut can automate the hardest parts of video creation. Save hours of production time and unlock flexible video generation.
Major newspapers are reportedly in talks with OpenAI over licensing content to power ChatGPT. Publishers see payments as crucial as AI booms — both for revenue and relevance. The talks signal information won't come free in the AI age.
Google's new Pixel phones let you quickly alter faces in pics, swapping expressions seamlessly with AI. While some cheer the easy photo fixes, critics warn its a slippery slope — with the lines between reality and deception continuing to blur.
A new study found that AI can tidy up Wikipedia's references, identifying faulty links and finding better sources. In tests, it suggested higher quality citations nearly 50% of the time — providing evidence that implementing the tool can both save editors work and improve reliability.
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