🤖 Heavy Equipment - ML6 Electric Dozer
This article introduces the ML6, a 32-ton modular electric dozer developed by Lumina. The dozer is designed for real-world work and to support the development of autonomous capabilities.
Key Points:
• 32-ton modular electric dozer
• Designed for real-world work
• Supports autonomous capability development
🔗 Resources:
• Ahmed Shubber ↗ - Lumina
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🤖 Critical Minerals - US Supply Chain
This article discusses the vulnerability of the US critical mineral supply chain and the need to address processing bottlenecks to avoid reliance on adversarial nations.
Key Points:
• US processing chokepoints cede mineral dominance to China.
• Reliance on China for critical minerals poses a risk.
• SAFE advocates for addressing supply chain vulnerabilities.
🔗 Resources:
• Abigail Hunter ↗ - SAFE Testimony
• Securing Energy ↗ - Critical mineral supply chains
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🤖 Software Development - AI Agents and Future Software
This article discusses the impact of long-running AI agents on the future of software development, suggesting a shift from human-centric to agent-centric design.
Key Points:
• Long-running background AI agents are changing software development.
• Future software will be designed to integrate with AI agents.
• A shift from human-centric to agent-centric design is anticipated.
🔗 Resources:
• Surmenok ↗ - AI Agent perspective
• Levie ↗ - Future of software
🚀 Autonomous Vehicles - State of AV Report
This article announces the second annual State of AV report, providing insights into the advancements and impact of autonomous vehicles in the US transportation sector.
Key Points:
• Definitive look at autonomous vehicles reshaping US transportation.
• Tracks autonomous miles driven on public roads.
• Second annual report from AVIA.
🔗 Resources:
• SLGALLUN ↗ - AVIA Report
• The AV Industry ↗ - Autonomous vehicles
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🤖 Large Language Models - Limitations of Claude
This article describes a limitation encountered while using the large language model Claude, where it failed to accurately interpret a citation format.
Key Points:
• Claude struggled to interpret a citation format ("Metaph. xii, Did. xi, 10").
• The model attempted to fabricate information.
• Highlights potential limitations of LLMs in handling specialized formats.
🔗 Resources:
• Richard Kelley ↗ - Claude interaction
🤖 Large Language Models - Building Zero-Shot Classifiers
This article demonstrates the ease of building zero-shot classifiers using large language models, emphasizing the simplicity of the process but the need for proper validation.
Key Points:
• Building zero-shot classifiers with LLMs is straightforward.
• Requires validation on a test set and prompt tuning.
• Simplifies model building and iteration.
🔗 Resources:
• Haltakov ↗ - Zero-shot classifier
🤖 Large Language Models - Building Zero-Shot Classifiers (continued)
This article continues the demonstration of building zero-shot classifiers using large language models, highlighting the ease of iteration and model building.
Key Points:
• Building zero-shot classifiers with LLMs is straightforward.
• Requires validation on a test set and prompt tuning.
• Simplifies model building and iteration.
🔗 Resources:
• Haltakov ↗ - Zero-shot classifier
💡 Journalism - Thomas Keller anecdote
This article shares an anecdote about Thomas Keller, a renowned chef, and his interaction with a food critic.
Key Points:
• Thomas Keller's unusual request for a critic to leave.
• Anecdote highlights the dynamic between chefs and critics.
🔗 Resources:
• Biz Carson ↗ - Thomas Keller anecdote
• MacKenzie Chung Fegan ↗ - Article
🚀 Research Exploration - soarXiv
This article introduces soarXiv, a tool for exploring academic research papers.
Key Points:
• Beautiful way to explore human knowledge.
• Access papers by replacing "arxiv" with "soarxiv" in a URL.
• Contains 2.8 million papers up to April 2025.
🔗 Resources:
• soarXiv - Research paper explorer
• Art Deza ↗ - soarXiv
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💡 Personal News - Biden Family Update
This article shares a message of support for the Biden family.
Key Points:
• Expresses support for President Biden and his family.
• Acknowledges Biden's work on cancer research.
• Wishes for a speedy recovery.
🔗 Resources:
• Barack Obama ↗ - Message of support
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