LIVE · FRI, JUL 24, 2026 --:--:-- ET
Issue Nº 94 COST TOTAL $14917.84 ARTICLES TODAY 2 TOKENS TOTAL 9.62B
Podcast
aiexpert
Subscribe · $8/mo
Running the wire
Breaking NVIDIA, KAIST launch first joint AI lab in Korea; SK memory co-dev expanded Policy US Genesis Mission deploys $5B+ for 278 AI-for-science projects across 50 states Funding NVIDIA commits $300M ($50M/year) to KAIST agentic AI lab; first joint lab with Korean university Breaking Expedia's STAR platform uses LLMs for incident root-cause analysis; deterministic workflows reduce mean-time-to-recover Breaking Siemens Fuse EDA AI system automates chip design workflows; transforms hours-long tasks into seconds Policy UK dismantles DSIT, elevates AI minister to cabinet; AI brief moves closer to prime minister Funding AMD secures 2GW Anthropic deal, invests $5B in Claude maker to rival Nvidia in AI chips Research Nvidia launches DNA genomics model; learns what token prediction misses in biological data Breaking Black Forest Labs launches FLUX 3 unified multimodal model for image, video, audio, and robot action Breaking Microsoft Project Perception: multi-model security routing cuts Anthropic Mythos cost by 50% Research Moonshot Kimi K3: Chinese open-weight model tops Arena benchmark, outranks Claude on code Funding Anthropic in early talks with Meta for $10B compute deal; third major infrastructure partnership Funding Anthropic Files for IPO; Claude's ARR Hit $47B in May, Overtakes OpenAI Valuation at $965B Series H Policy 21 APEC Economies Endorse Open-Source AI with 'Strong Security Assurance' at Chengdu Summit Breaking OpenAI Project Camellia: 3.2GW Georgia datacenter, $80M community benefits, $71M Codex credits for students through 2032 Breaking FDA's ELSA AI platform reaches 85% staff adoption in two months; governed data and agents reduce drug review from days to 3 minutes Research NVIDIA research at ICML 2026: 145 papers cite Nemotron open models; 2,000 papers use NVIDIA GPUs Chips Japan launches Vera Rubin AI factory with NVIDIA: 27,500 Rubin GPUs, 140MW for FRONTia multimodal robotics models Market CXMT raises $8.6B in Shanghai IPO on July 27; China memory chip competition accelerates Research Poolside releases Laguna S 2.1, 118B-parameter open-weight model matching closed competitors Breaking NVIDIA, KAIST launch first joint AI lab in Korea; SK memory co-dev expanded Policy US Genesis Mission deploys $5B+ for 278 AI-for-science projects across 50 states Funding NVIDIA commits $300M ($50M/year) to KAIST agentic AI lab; first joint lab with Korean university Breaking Expedia's STAR platform uses LLMs for incident root-cause analysis; deterministic workflows reduce mean-time-to-recover Breaking Siemens Fuse EDA AI system automates chip design workflows; transforms hours-long tasks into seconds Policy UK dismantles DSIT, elevates AI minister to cabinet; AI brief moves closer to prime minister Funding AMD secures 2GW Anthropic deal, invests $5B in Claude maker to rival Nvidia in AI chips Research Nvidia launches DNA genomics model; learns what token prediction misses in biological data Breaking Black Forest Labs launches FLUX 3 unified multimodal model for image, video, audio, and robot action Breaking Microsoft Project Perception: multi-model security routing cuts Anthropic Mythos cost by 50% Research Moonshot Kimi K3: Chinese open-weight model tops Arena benchmark, outranks Claude on code Funding Anthropic in early talks with Meta for $10B compute deal; third major infrastructure partnership Funding Anthropic Files for IPO; Claude's ARR Hit $47B in May, Overtakes OpenAI Valuation at $965B Series H Policy 21 APEC Economies Endorse Open-Source AI with 'Strong Security Assurance' at Chengdu Summit Breaking OpenAI Project Camellia: 3.2GW Georgia datacenter, $80M community benefits, $71M Codex credits for students through 2032 Breaking FDA's ELSA AI platform reaches 85% staff adoption in two months; governed data and agents reduce drug review from days to 3 minutes Research NVIDIA research at ICML 2026: 145 papers cite Nemotron open models; 2,000 papers use NVIDIA GPUs Chips Japan launches Vera Rubin AI factory with NVIDIA: 27,500 Rubin GPUs, 140MW for FRONTia multimodal robotics models Market CXMT raises $8.6B in Shanghai IPO on July 27; China memory chip competition accelerates Research Poolside releases Laguna S 2.1, 118B-parameter open-weight model matching closed competitors
Funding

NVIDIA commits $300M ($50M/year) to KAIST agentic AI lab; first joint lab with Korean university

NVIDIA and Korea Advanced Institute of Science and Technology (KAIST) announced a $300 million joint AI research lab at KAIST's Kim Jaechul Graduate School of AI in Seoul, dedicated to advancing agentic AI models and systems optimized for South Korea. The collaboration includes $50 million per year in compute contributions across an initial five-year period, funding for at least 10 KAIST researchers annually with NVIDIA internships, and full-time hiring of top Korean researchers. This marks the first joint AI research lab between a Korean university and any global technology company.

The lab prioritizes developing models optimized for the Korean language and Korea-specific use cases, using NVIDIA Nemotron open models and local NVIDIA Cloud Partner infrastructure. The goal is to build a pipeline from academic discovery to enterprise and national AI deployments. The collaboration is positioned within a broader NVIDIA effort in South Korea: Samsung is building an AI factory with 50,000+ GPUs for AI acceleration; SK Group is deploying 50,000+ GPUs for semiconductor R&D and cloud infrastructure; Hyundai Motor Group is adopting 50,000 Blackwell GPUs for autonomous driving and smart factory AI; and SK Telecom plans a gigawatt-scale AI Cloud using NVIDIA DSX, coming online in 2027.

The Korean government has also invested $50,000+ NVIDIA GPUs through the National AI Computing Center and cloud providers (NHN Cloud, Kakao, NAVER Cloud). NVIDIA ecosystem expansion in Korea now includes collaborations with LG AI Research (physical AI and healthcare models like EXAONE Path), NAVER (full-stack AI factory with 55+ megawatt data center scaling to gigawatt), and others in the Nemotron Coalition for open model development.

For researchers and builders: the KAIST lab signals NVIDIA's strategy to deepen regional AI R&D partnerships and create feedstock for Korea's industrial AI (semiconductors, robots, autonomous vehicles, physical AI). The $300M commitment is NVIDIA's largest direct research investment outside its own labs, reflecting the geopolitical and economic importance of Korean tech ecosystems in the AI supply chain.

Sources

Get the signal before the noise.