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The article profiles Tony Hoare, whose Quicksort algorithm, Hoare logic, and work on programming-language design helped shape modern software engineering. His focus on simplicity, formal verification, and program understandability is especially relevant as LLMs and Coding Agents make code generation easier but software comprehension harder.
A court reportedly heard that former Samsung engineers stole process recipes for the company’s 18nm-class DRAM technology for sale to CXMT. One former Samsung engineer who moved to the Chinese memory maker is now reportedly in custody.
AI-generated microdramas accounted for 27.5 million of the 36.7 million microdramas launched nationwide in China during the first half of the year, or 75%. The rapid expansion has triggered criticism from viewers who argue that the content feels repetitive and low quality.
Super Micro Computer completed an independent investigation into its export compliance program. Investigators concluded that senior management had no knowledge of an alleged scheme to divert Nvidia chips.
Aurora-80K is a tiny language model with exactly 80,000 parameters and a factorized 4,096-token vocabulary. Its reported results include 3.2902 Wikitext-2 BPB, 52.31% BLiMP accuracy, and 26.05% on ARC-Easy.
Wired reported that Meta’s Facebook and Instagram displayed ads for an AI pornography-generation tool. One ad featured a deepfake pornographic video resembling a prominent American female politician, and Meta removed the ads after being questioned.
The article examines three strategic questions that companies must answer before AI becomes a sustainable business: where they are positioned, whom they should work with, and how to generate recurring profits. It frames AI adoption as a business execution challenge beyond simply deploying models.
A Reddit user reports that Qwen3.8-27B autonomously retrieved a university class schedule through 80 tool calls using only credentials and a university name. In another test, it downloaded and analyzed a social-media video, installed Whisper for transcription, and enhanced video frames without human intervention.
This article presents a Silicon Valley VC perspective on evaluating AI startups through five dimensions. Its core message emphasizes keeping ideals internally while embedding discipline into operating processes.
A community developer created Qwen3.8-23B-Mini-Me by strategically removing layers from Qwen3.8-27B, reducing the model to approximately 22.7B parameters without severe reasoning degradation. The model is reported to work well for coding, agentic tasks, and multi-turn chats, but it has not yet been benchmarked and struggles more with edge cases and underspecified prompts.