🤖 AI/ML - Open-Source Personal Assistant

🤖 AI/ML - Open-Source Personal Assistant

OpenMuse is an open-source, self-hostable personal assistant that works with any agent harness. It includes features such as computer use, connectors for personal apps, ideas, goals, and progress tracking. OpenMuse is built for mobile and web.

Key Points:

• Agent Harness Integration: OpenMuse integrates with any agent harness, allowing users to customize their personal assistant to suit their needs.

• Computer Use: OpenMuse provides a browser, terminal, and file management system, making it a comprehensive personal assistant.

• Connectors for Personal Apps: OpenMuse allows users to connect their personal apps, making it a versatile tool for managing daily tasks.

• Idea, Goal, and Progress Tracking: OpenMuse provides features for tracking ideas, goals, and progress, helping users stay organized and focused.

• Mobile and Web Support: OpenMuse is built for both mobile and web, making it accessible from anywhere.

🔗 Resources:

• Original post ↗
• Original source
• OpenMuse
• Open-source personal assistant for mobile and web
  
  

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🚀 Tech - Mac Studio M5 Ultra vs Spark

The Mac Studio M5 Ultra is great for single users, but if you need concurrency and mature CUDA tools, choose Spark. Apple is not investing in headcount to make MLX better or expand their tools to compete with CUDA.

Key Points:

• Single User Performance: The Mac Studio M5 Ultra is suitable for single users who require high-performance computing.

• Concurrency and CUDA Tools: Spark is a better choice for users who need concurrency and mature CUDA tools, which are essential for certain applications.

• Apple's Investment in MLX: Apple is not investing in headcount to improve MLX or expand their tools to compete with CUDA.

🔗 Resources:

• Original post ↗
• Original source
• Spark
• High-performance computing platform for concurrency and CUDA tools
  
  

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🤖 AI - Pathfounders' Curated Founder/Investor Retreat

Pathfounders is launching a curated founder/investor retreat in Tenerife, 20-23 Nov. The retreat aims to connect and recharge founders and investors after Slush.

Key Points:

• Curated Founder/Investor Retreat: Pathfounders is organizing a curated retreat for founders and investors to connect and recharge.

• Location and Dates: The retreat will take place in Tenerife from 20-23 Nov.

• Purpose: The retreat aims to provide a platform for founders and investors to connect and recharge after Slush.

🔗 Resources:

• Original post ↗
• Original source
• Pathfounders
• Curated founder/investor retreat in Tenerife
  
  

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🤖 AI - Understanding Microprocessors and ML Models

Engineers can't look at a microprocessor executing machine code and reliably recover the top-level algorithms the processor is executing. However, this doesn't mean that electronics engineers don't understand microprocessors.

Key Points:

• Microprocessor Execution: Engineers can't recover the top-level algorithms from machine code, but this doesn't imply a lack of understanding of microprocessors.

• Electronics Engineers' Understanding: Electronics engineers understand microprocessors very well, but the same can't be said for ML models.

• Reliability Guarantees: The only difference between ML and microprocessors is that reliability guarantees can be provided for microprocessors, but not for ML models.

🔗 Resources:

• Original post ↗
• Original source
• Microprocessors
• Complex digital circuits that execute machine code
  
  

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🤖 AI - TL;DR: ML Engineers and Top-Level Algorithms

The idea that ML engineers don't understand ML models because they can't recover top-level algorithms is flawed. This would imply that electronics engineers don't understand microprocessors, which is not the case.

Key Points:

• ML Engineers' Understanding: ML engineers understand ML models, but they can't recover top-level algorithms from machine code.

• Electronics Engineers' Understanding: Electronics engineers understand microprocessors very well, but the same can't be said for ML models.

• Reliability Guarantees: The only difference between ML and microprocessors is that reliability guarantees can be provided for microprocessors, but not for ML models.

🔗 Resources:

• Original post ↗
• Original source
• Microprocessors
• Complex digital circuits that execute machine code
  
  

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🤖 AI - Amazon's Locking the Front Door

Amazon bars other companies' bots from using its store, then uses its own robots to replace warehouse workers. This is locking the front door while automating the back.

Key Points:

• Amazon's Store Policy: Amazon bars other companies' bots from using its store.

• Robot Replacement: Amazon uses its own robots to replace warehouse workers.

• Front Door Locking: This is an example of locking the front door while automating the back.

🔗 Resources:

• Original post ↗
• Original source
• Amazon
• E-commerce platform with store policy and robot replacement
  
  

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🤖 AI - Qwen 3 Max Weights

The author is looking for weights for Qwen 3 max (no thinking) with base if possible. This model was fascinating, a bit like 4o but more, smarter, and with intuition no other model has.

Key Points:

• Qwen 3 Max Weights: The author is looking for weights for Qwen 3 max.

• Model Comparison: The model is similar to 4o but more, smarter, and with intuition.

• Intuition and Smarts: The model has a unique combination of intuition and smarts.

🔗 Resources:

• Original post ↗
• Original source
• Qwen 3 Max
• AI model with unique combination of intuition and smarts
  
  

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