LIVE · FRI, JUL 24, 2026 --:--:-- ET

Issue Nº 94 COST TOTAL $14917.84 ARTICLES TODAY 2 TOKENS TOTAL 9.62B

Running the wire

Breaking Anthropic upgrades Claude Voice to Opus/Sonnet models; turn-based architecture competes with OpenAI's full-duplex GPT-Live on tool access, not speech naturalness Research LangChain publishes Deep Agents benchmark framework; three eval suites (Harbor-Index, τ³-bench, ContextBench) set long-horizon agent autonomy standard Research Black Forest Labs FLUX 3: unified multimodal model generates video, audio, and robot actions from single architecture 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 Breaking Anthropic upgrades Claude Voice to Opus/Sonnet models; turn-based architecture competes with OpenAI's full-duplex GPT-Live on tool access, not speech naturalness Research LangChain publishes Deep Agents benchmark framework; three eval suites (Harbor-Index, τ³-bench, ContextBench) set long-horizon agent autonomy standard Research Black Forest Labs FLUX 3: unified multimodal model generates video, audio, and robot actions from single architecture 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

Breaking Friday, July 24, 2026 at 07:05 AM

NVIDIA, KAIST launch first joint AI lab in Korea; SK memory co-dev expanded

NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) announced a new joint AI research lab at KAIST's Kim Jaechul Graduate School of AI in Seoul, focused on advancing agentic AI for South Korea. This is the first joint AI lab between a Korean university and any global technology company. The lab brings together NVIDIA's full-stack AI expertise, Nemotron open models, and NVIDIA AI Cloud partner compute with KAIST's research talent.

The announcement arrives as NVIDIA CEO Jensen Huang wraps an Asia-Pacific summit visit, building on his trip to Korea last month. NVIDIA and SK Group also celebrated their longstanding partnership at the summit, confirming an expanded collaboration to co-develop memory solutions spanning AI infrastructure, personal AI, and physical AI workloads—extending earlier June announcements of SK Telecom's plans to build AI infrastructure for Korea's physical AI and robotics initiatives.

This signals Korea's push to become a regional AI hub and to diversify supplier relationships beyond China. The KAIST partnership moves NVIDIA deeper into academic research pipelines in Asia, while the SK memory co-development aligns chip supply with Korea's national AI infrastructure goals.

For practitioners: the KAIST lab provides structured access to Nemotron models and NVIDIA infrastructure for researchers; the SK memory co-dev suggests Korean chip supply chains are explicitly designed for NVIDIA's roadmap (not China's). Watch for recruitment of talent from this lab to Korean AI startups and how fast agentic AI research translates into commercial products on Korean platforms.

Sources