Nvidia unveiled a new technique to drastically reduce the memory costs of large language model (LLM) reasoning, while Chinese AI startup MiniMax released a new language model promising to make high-end AI more affordable, according to reports from February 12, 2026. Meanwhile, IBM announced plans to increase entry-level job hiring for Gen Z, and the U.S. Customs and Border Protection (CBP) signed a deal with Clearview AI for facial recognition technology. Spain's film and TV production industry is also experiencing a talent revolution, as reported on February 13, 2026.
Nvidia's new technique, called dynamic memory sparsification (DMS), can reduce the memory costs of LLM reasoning by up to eight times by compressing the key-value (KV) cache, according to VentureBeat. Experiments showed that DMS enables LLMs to "think" longer and explore more solutions without increasing memory usage.
MiniMax, headquartered in Shanghai, released its new M2.5 language model in two variants, which promises to make high-end artificial intelligence so cheap, according to VentureBeat. The model was made open source on Hugging Face under a modified MIT License.
IBM is increasing its hiring of Gen Z entry-level employees, despite warnings that artificial intelligence will slash corporate entry-level jobs, according to Fortune. "The companies three to five years from now that are going to be the most successful are those companies that doubled down on entry-level hiring in this environment," said Nickle LaMoreaux, IBM's chief human resources officer, according to Fortune.
The CBP plans to spend $225,000 for a year of access to Clearview AI, a face recognition tool that compares photos against billions of images scraped from the internet, according to Hacker News. The deal extends access to Clearview tools to Border Patrols headquarters intelligence division (INTEL) and the National Targeting Center. The service will be used for tactical targeting and strategic counter-network analysis.
Spain's film and TV production industry is experiencing a talent revolution, with big-name filmmakers leveraging festival prestige and new voices using genre and emotional uplift, according to Variety.
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