Find out why 1M+ professionals read Superhuman AI daily.

In 2 years you will be working for AI

Or an AI will be working for you

Here's how you can future-proof yourself:

1. Join the Superhuman AI newsletter – read by 1M+ people at top companies

2. Master AI tools, tutorials, and news in just 3 minutes a day

3. Become 10X more productive using AI

Join 1,000,000+ pros at companies like Google, Meta, and Amazon that are using AI to get ahead.

Sign up and start learning AI

Featured

🚀 AI Research: MIT Unveils SEAL — Language Models That Self-Adapt

MIT researchers have introduced SEAL (Self-Adapting Language Models), a groundbreaking framework enabling LLMs to autonomously generate and apply their own fine-tuning updates—revolutionizing how AI learns and evolves.

🔍 Key Highlights

• Self-Edit Generation
  LLMs generate "self-edits"—structured instructions or synthetic data—containing prompts, hyperparameters, and augmentation strategies for their own tuning.

• Reinforcement Learning Loop
  SEAL uses a reward-based system: it applies self-edits, tests performance on downstream tasks, and reinforces strategies that improve outcomes.

• Persistent Weight Updates
  Results are baked into the model weights via supervised fine-tuning, enabling lasting adaptation—not just temporary improvement.

• Strong Experimental Gains

  • Knowledge Incorporation: QA accuracy rises from ~33% to 47% using single­passage tuning.

  • Few-Shot Learning: SEAL achieves a 72.5% success rate on ARC tasks—vs. 0% for in-context learning and 20% for naïve self-edits.

• Open-Source & Transparent
  Code and details are available publicly on SEAL’s GitHub and project page.

💡 Why It Matters

SEAL marks a crucial shift toward self-improving AI, where models not only think but also learn how to learn. This reduces dependency on external data and retraining, improves long-term adaptability, and mirrors human learning strategies like note-taking and structured study.

⚠️ Caveats & Outlook

• Catastrophic Forgetting:
  Repeated self-edits can overwrite earlier learning—it lacks built-in memory safeguards.

• Resource Intensive:
  The iterative fine-tuning and RL process can be computationally heavy.

• Future Directions:
  Integrating retention strategies (replay buffers, constrained updates) and scaling to larger models will be key for practical deployment.

🔭 My Take

SEAL represents a striking milestone in AI autonomy: LLMs taking ownership of their own learning trajectory. While still early-stage, its promise in continuous adaptation and reduced data reliance hints at a future where models are true lifelong learners. It’s a compelling glimpse of agentic AI in action—but addressing forgetting and compute constraints will be critical to realize its full potential.

Featured

AI News, Tools, & Resources

• Sora - officially launches to the public - create videos from prompts or images

• Fireflies.ai - AI notetaker and transcription for meetings!

• Taskade - Create and Train your own AI Agents!

• AI Tools for Bloggers - Leveraging AI Tools and Pinterest for Success

• ChatGPT - What will it do for you?!

• Grok - Harness powerful AI & generate stunning images

• Gemini 2.0 - Faster and more capable than ever!

• Replit - Take your ideas and turn them into software — no coding required!

• Submagic - lets you create viral shorts in seconds!

• Midjourney - create incredible images from basic prompts!

• MadeByMelo - An inclusive & collaborative space for artists, creators, & gamers

Wallpapers

YouTube

New Etsy Products

Use Promo Code OHMYGLOB for 10% OFF just cuz you are awesome! :)

Know a Book Lover? These Sci-Fi Books are must reads!