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Global Memory Shortage Hits MacBook Air Availability⭐9
Global memory chip shortage delays MacBook Air orders, with delivery times stretching into September amid rising AI demand.
Open Models Have Real Benefits. Do They Outweigh the Risks?⭐8
Open-weight AI models offer transparency and faster innovation, but can they be recalled once released? We explore the risks, trade-offs, and governance debate.
Base Power Raises Another $1B to Revolutionize the Grid with⭐9
Base Power raises $1B to expand residential battery network, unveils Base Core storage, and scales to 100 daily installs amid surging grid demand.
Anthropic Officially Files for Its Public Debut⭐8
Anthropic files for IPO under ticker ANT, reporting $16.3B in first-half 2026 revenue, narrowed operating losses, and a founder-controlled governance structure.
Shield AI, Waabi, and General Motors on Building AI When Failure⭐8
Shield AI, Waabi, and GM discuss deploying AI in aircraft, vehicles, and robots where failure is not an option at TechCrunch Disrupt 2026.
Why China Is Giving Away Its Best AI Models⭐9
China's AI labs like Moonshot and DeepSeek give away top models, reshaping global AI by challenging Western closed systems and fueling open-source adoption.
The Problem with Adding an AI Image Generator to Google Earth⭐9
AI image generation in Google Earth creates realistic flyover footage vulnerable to misuse, as Van Ess proved—despite watermarks and restrictions.
Benchmarking Open-Source LLMs for Verilog RTL Generation Across⭐9
This study benchmarks open-source LLMs on 50 Verilog RTL tasks, revealing strengths in basic logic but limitations in complex, hierarchical designs vital for 20...
Profiling TorchNeuron (Part 1): System-Level Profiling on AWS Trainium⭐8
Learn system-level profiling techniques for TorchNeuron on AWS Trainium: key metrics, tooling, environment setup, and best practices for optimizing deep learnin...
Preparing for AI-Driven Chip Design and Verification⭐9
By 2026, AI-driven tools will transform chip design and verification, automating tasks and accelerating time-to-market. Engineers must prepare for data,