Industry

Everything · newest first

Models, products and AI startups, near-duplicates collapsed to the most credible source

User Alleges Qwen3.8-27B Quietly Weakened

A LocalLLaMA user reports that a Q4 quant of Qwen3.8-27B, run via llama.cpp on an RTX 4090, once handled complex tasks well but now fails basics and forgets instructions. The user suspects a secret quantization nerf to make Qwen4 look better, offering no evidence.

r/LocalLLaMA ·

Context, not code, is the bottleneck for AI-first firms

TechBullion argues code generation is no longer the slowest part of enterprise AI; the real bottleneck is enterprise context—authoritative definitions, system connections and standards—concentrated in a few experts. More AI assistants raise output ceilings but not correctness, so context should be managed as infrastructure.

TechBullion ·

Italian police use AI to identify stolen, repainted painting

At a Parma antiques fair, Italian police uploaded photos to a stolen-art database and an AI flagged a painting within two hours: a 17th-century Saint Agnes stolen from a Sulmona church in 2004, with halo, palm branch and lamb repainted. The canvas was returned in May 2025, and the algorithm will also hunt Ukrainian treasures looted by Russia.

Наша Ніва ·

Toyota sets up robot unit to speed deployment

Toyota Motor Corp. established a dedicated robotics department led by chief production officer Takefumi Shiga to accelerate practical application, commercialization and deployment of robots on the front lines. The move consolidates its robotics efforts under one organizational structure as the carmaker joins global rivals in building out the technology.

Bloomberg ·

ASML vs. Marvell: Which AI Stock Is the Better Buy for 2027?

The Motley Fool compares ASML and Marvell as AI-related semiconductor plays. ASML holds a monopoly on EUV lithography machines needed for advanced chips, posting $36.7B revenue (up 15.6%) and $10.8B net income for the fiscal year ended Dec. 31, 2025, a 29.4% net margin. Marvell focuses on data infrastructure and connectivity for the AI era.

The Motley Fool ·

Gartner: Companies not saving money with AI

Gartner research shows that although three-quarters of board members expect productivity and cost returns from AI, 97% of organizations cannot cut expenses through productivity measures alone. 38% are over budget on AI and 85% plan to spend more next year, while 78% of leaders disagree on where AI is most valuable.

ESG Dive ·
Load more