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2026 WRC | An Open Ecosystem for Faster Innovation Open ecosystem × Accelerated innovation × Real-world deployment From ideas to real-world applications, developers find the tools they need—and ecosystem partners find new opportunities to build together. Openness is where innovation begins. Real-world impact is the goal. At WRC 2026, see how LimX Dynamics is helping turn possibilities into practice. 📸 Explore the highlights from our booth. 🌍 Hall C, Beijing Etrong International Exhibition & Convention Center 🚨 Booth C316 Come meet us! #LimXDynamics# #WRC2026# #EmbodiedAI# #PhysicalAI# #Robotics# #OpenEcosystem#
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Open-source AI is ruthlessly out-innovating the trillion-dollar monopolies. 🚀 Big labs are burning billions brute-forcing AGI on massive GPU clusters. Meanwhile, the open ecosystem is structurally forced to innovate on inference—and it's working. Look at what just happened: - DeepSeek v4 using SSDs for KV cache. - Breakthroughs like TurboQuant and Kimi K2 are aggressively compressing memory and driving the cost of intelligence to near zero. When you don't have infinite compute, you actually have to engineer better solutions. Constraints breed miracles. By solving the KV cache bottleneck, scrappy open-source builders are creating vastly cheaper and more profitable AI than the bloated closed-source giants. Hacker culture > GPU monopolies. Period.
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An open ecosystem grows when people keep identifying problems worth solving
We believe the strength of an open ecosystem isn’t measured only by what one team builds
JUST IN: NVIDIA launches the “Open Agent Safety Platform” with over 100 industry partners, creating an open ecosystem designed to make autonomous AI agents safer.
Gemini Enterprise for Legal includes an open ecosystem that extends its capabilities with specialized agents like @Deloitte Legal Assist, bringing deep legal experience to a platform with centralized governance and control. Learn more →
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Introducing our Artifacts Hub and Adoption Dashboard Scaling our curation and measurement of the open ecosystem as we feel the acceleration of releases. Artifacts Hub: Adoption Dashboard: Explanation:
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Most airlines run on decades of legacy systems. @RiyadhAir started with none. Vice President of Digital & Innovation Abe Dev explains how an open ecosystem with partners like @IBMConsulting, plus an AI-first culture, let them move fast as a digital native airline operating from a blank slate. @IBM $IBM
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A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. NVIDIA $NVDA unveiled its new Open Agent Safety Platform, an open framework designed to continuously monitor and enforce safety for autonomous AI agents across both software and hardware. The platform combines OpenShell, an open-source runtime that sandboxes AI agents with verifiable policies, and NVIDIA Sentry, which runs on BlueField-4 hardware to independently monitor agent behavior and enforce security policies beyond the agent’s control. NVIDIA said the initiative was motivated by recent reports of frontier AI agents escaping evaluation environments and misreporting their actions, arguing that AI agents require an independent trust layer similar to what enabled the modern internet. The company is positioning the platform as an open ecosystem and is inviting frontier AI labs, developers, and infrastructure providers to build on it. 2. Meta $META is launching Meta Enterprise Platform, a new business dedicated to selling its AI tools and services directly to enterprises and developers. The initial offering combines Meta’s enterprise AI stack, including Muse, Meta Business Agent, Muse API, Muse Code, and other products built on the company’s models, agents, and infrastructure to support customer engagement, software development, and broader enterprise workflows. To lead the new division, Meta hired former MongoDB CEO and President CJ Desai as Chief Enterprise Platform Officer, reporting directly to Mark Zuckerberg. Before MongoDB, Desai held leadership roles at Cloudflare and spent nearly 8 years at ServiceNow, including serving as President and COO. 3. Finland President Alexander Stubb said Google $GOOGL will invest at least $15.2B in the country over the next 2 years to expand AI and digital infrastructure. Finland currently has around 50 data centers, with another 25 projects in development, potentially bringing the country's total to 75. The investment further strengthens Finland's position as one of Europe's fastest-growing hubs for AI infrastructure and large-scale data center capacity. 4. Boeing $BA fell 6% after reports that the FAA is delaying certification of the 737 MAX 10 while it reviews a newly discovered software issue that could cause the aircraft’s automated navigation system to fail in certain missed-approach scenarios. According to reports, Southwest and United Airlines have told Boeing they do not want deliveries with the affected software and have instead requested an earlier software version. The certification delay adds another hurdle for Boeing as it works to bring the 737 MAX 10 into commercial service. 5. AMD $AMD has agreed to acquire World Labs, the AI research company founded by Fei-Fei Li, in an $8.2B all-stock transaction. World Labs develops spatial intelligence models capable of generating, reconstructing, and simulating interactive 3D environments from text, images, and video. The acquisition brings World Labs' AI research directly into AMD as the company expands further into reasoning, robotics, simulation, and physical AI. As part of the deal, Fei-Fei Li will join AMD as Executive Vice President and Chief Scientist, reporting directly to CEO Lisa Su. The transaction is expected to close by the end of 2026. 6. The top 10 most active options today by contracts traded were $NVDA with 4.2M contracts, $TSLA with 2.3M contracts, $AAPL with 1.2M contracts, $META with 1.1M contracts, $INTC with 1.1M contracts, $MU with 999K contracts, $AMZN with 728K contracts, $AMD with 704K contracts, $MSFT with 634K contracts, and $SPCX with 622K contracts. 7. NVIDIA $NVDA authorized an additional $150B share repurchase program, the largest increase in share buyback authorization in history, bringing its total remaining authorization to $235B through FY2028. CEO Jensen Huang said the company’s strong cash generation allows NVIDIA to both invest aggressively in the technologies driving the AI transformation and return capital to shareholders. The expanded authorization underscores NVIDIA’s confidence in its long-term growth outlook while providing substantial flexibility for future capital returns. 8. Serious credit card delinquencies continued to rise across several age groups in Q2 2026, with Americans aged 18–29 seeing transitions into 90+ day delinquency climb to 10.1%, up 0.4 percentage points from the prior quarter and the highest level since Q1 2025. The delinquency rate for this group has now more than doubled since Q2 2021. Americans aged 70+ also saw delinquencies rise to 6.3%, the highest since Q3 2011, while the 50–59 age group increased to 6.4%, its highest level since Q4 2024. The data suggests credit stress is continuing to broaden across both younger and older consumers. 9. Retail investors have purchased just $1B of individual U.S. stocks over the last 20 trading days, one of the lowest rolling totals in at least 2 years. In early August, the figure briefly turned negative for the first time since at least October 2024, compared with roughly $20B of 20-day purchases in April 2025. Total retail equity purchases have also slowed sharply, falling to $10B over the last 20 trading days, near their lowest level since at least October 2024. That's down roughly 67% from the $30B recorded over the comparable period in February 2026, highlighting a significant slowdown in retail participation. 10. The 30-year U.S. Treasury Price Return Index has fallen 60% since 2020, dropping to roughly 107, matching its lowest level since 2000. In just 6 years, the index has erased nearly 20 years of gains as the 30-year Treasury yield has surged 478 basis points from its 0.71% intraday low in March 2020. For comparison, the previous largest drawdown over the last 40 years was roughly 35% during the 2008 Financial Crisis. Over the same period, U.S. nominal GDP has grown approximately 63%, highlighting the stark divergence between economic growth and long-duration bond performance. 11. SpaceX $SPCX successfully launched Starship to orbit and deployed its V3 Starlink satellites for the first time, marking Starship’s first revenue-generating mission and a major milestone for the program. According to SpaceX, each V3 Starlink satellite increases the total bandwidth capacity of the entire Starlink constellation by roughly 0.11%. With approximately 11,100 Starlink satellites already in orbit, most of them V2 Mini satellites, future Starship missions carrying up to 60 V3 satellites each could dramatically expand the network’s global capacity while significantly lowering launch costs. 12. U.S. data center IT power demand is projected to surge 755% from 2025 levels, reaching a record 78.57 GW by 2029. Demand is expected to nearly double this year to 17.96 GW, followed by another 97% increase in 2027, as AI infrastructure continues expanding at an unprecedented pace. Between 2026 and 2028, U.S. data centers are expected to require 97 GW of power, but only 21 GW is currently under construction and another 19 GW of grid capacity is available, leaving a potential 57 GW shortfall. The gap is widening as increasingly powerful AI systems consume far more electricity, with servers based on NVIDIA’s Vera Rubin and Rubin Ultra architectures expected to drive a 5x increase in IT power demand between 2025 and 2028. WALL STREET IS THE GREATEST SHOW ON EARTH.
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Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world.
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