Open App →
Back to News Feed
Digitimes September 24, 2026 By Yunnie Cheng negative

Industrial software giants race to build industry world models

AI / LLMSemiconductorsManufacturing
While generative AI has surged into mainstream consumer use thanks to ChatGPT, the adoption of AI across industrial sectors has progressed at a much slower pace. Industry analysts point out that the primary culprit is the tendency of current AI architectures to "hallucinate," a fatal vulnerability in manufacturing environments where there is no tolerance for error. As industrial AI development cannot rely on large language models (LLMs) alone, attention is rapidly shifting toward industry world models that anchor AI systems in the laws of physics. Recognizing this pivot, global industrial software giants are already aggressively positioning themselves in this space.
Read original article ↗

Related Articles

Ringg’s AI agents resolve up to 65% of customer calls with OpenAI

Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.

Open AI News · September 24, 2026

Sustaining Its Role as a Driver of the People's Economy, BRI Posts IDR 31.2 Trillion Net Profit in Q2 2026

JAKARTA, Indonesia, Sept. 23, 2026 /PRNewswire/ -- PT Bank Rakyat Indonesia (Persero) Tbk (IDX: BBRI) reported net profi

PR Newswire · September 24, 2026