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Company NameCORE16 Inc.
CEODavid Cho
Business Registration Number762-81-03235
Address83, Uisadang-daero, Yeongdeungpo-gu, Seoul, 07325, Republic of KOREA
셀스마트 YUN's profile picture

셀스마트 YUN

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셀스마트 YUN
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3 days ago
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The End of Driving: Autonomous Cars Create a New Consumer Space
Tesla recently began offering paid robotaxi rides to select users in Austin. A safety operator is still present, but this real-world test signals how close we are to full autonomy. In Europe, Tesla's supervised FSD is also being tested in cities like Paris and Madrid, seen as groundwork for regulatory approval.As autonomy enters daily life, the 2030s may redefine the car interior. No longer a driving space, it becomes a mobile environment for work, rest, and leisure. The catalyst: VR and AR. As immersive content matures, cars will evolve into platforms for entertainment, productivity, commerce, and even housing.What this could look like:1.    The in-car entertainment room-     Cars connect to the metaverse via headsets or displays. Riders enjoy immersive films, games, and concerts. The vehicle becomes a private theater.2.    The mobile office-     With 3D avatars and real-time collaboration, cars become moving offices. Commute time becomes productive time.3.    Drive-based immersive commerce-     Passengers browse virtual malls, try on products, and connect with physical retail. Ads and content lead directly to purchases, reshaping commerce.4.    Housing and urban shifts-     If work and play happen in transit, demand shifts from urban cores to outer areas. The value of proximity fades. Living decisions shift from distance to in-transit utility.In a driverless era, time inside the car is content time. The vehicle becomes a monetizable platform. This fusion of mobility and media marks the start of a broader convergence.The real question is no longer where to live, but what can you do while moving.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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Tesla
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셀스마트 YUN
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1 week ago
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The New Front in AI: Compute Gigafactories and the Invisible Winners
The New Front in AI: Compute Gigafactories and the Infrastructure Behind the RacexAI’s Colossus, now under construction in Memphis, is more than just another data center. Dubbed a “gigafactory of compute,” the facility represents a turning point: the AI industry’s shift toward full-stack physical control.But xAI isn’t alone. Microsoft, Amazon, Meta, Google, and Nvidia are all rapidly building their own AI supercomputing hubs. The reason? Winning in AI now depends less on having the best model—and more on owning the infrastructure to train it.Training frontier models like GPT-5 or Claude 3 requires not just GPUs, but vast arrays of stable power, advanced cooling, and high-throughput networking. Software alone no longer wins. Compute scale, speed, and control are becoming the true moat.Unexpected Winners: Servers and Power ProvidersThis infrastructure race is lifting companies that most AI investors overlook.Super Micro (SMCI) is emerging as the dominant builder of AI server systems. Already producing most H100 and B100-based configurations for Nvidia, it’s the go-to for large-scale, liquid-cooled GPU clusters. Projects like xAI’s Colossus and Saudi’s DataVolt have made it the de facto standard for AI server design.Arista Networks, Vertiv, Broadcom are also benefiting from exploding demand in networking switches, power equipment, and thermal management.But compute is meaningless without energy.NextEra Energy (NEE) is betting big on this. As the largest renewable energy provider in the U.S., it’s aggressively expanding AI-focused power purchase agreements (PPAs), backed by solar, wind, and nuclear. It already manages over 31GW and plans to add 36–46GW by 2030.Schneider Electric and Eaton are essential players behind the scenes, ensuring energy stability and power quality—critical in high-density AI compute environments. But There’s Friction AheadProjects like Colossus are drawing backlash over emissions and local impact. xAI’s use of temporary methane generators has already sparked environmental concern. As these facilities scale, resistance from regulators and communities will grow.That’s why infrastructure firms with green energy credentials and efficient cooling tech are becoming preferred partners in this new ecosystem. Conclusion: Big Tech’s Energy War Has BegunThe AI race is entering its next phase: compute dominance. This battle won’t be won by algorithms alone—but by those who can deliver power, cooling, and scale.In the next decade, the real winners of AI may not be chipmakers—but the companies that keep the chips running.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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셀스마트 YUN
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1 week ago
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Meta’s Scale AI Bet Just Sparked the Data War—Here Come the Winners
Meta’s Scale AI Deal Shakes Up the Data Supply ChainMeta’s recent $10 billion investment in Scale AI, securing a 49% stake, is more than a bet on infrastructure—it’s a bid for leverage in the global AI race.At first glance, the deal looks like a classic capital injection. But the real impact lies beneath: Meta is reshaping the AI data ecosystem from the inside out. What Is Scale AI?Scale AI is a leading provider of high-quality data labeling services for training large language models (LLMs) and reinforcement learning from human feedback (RLHF).Its platform specializes in human-in-the-loop tasks like evaluating responses, scoring language fluency, and flagging ethical risks—critical components in fine-tuning models like GPT or Gemini.Clients have included OpenAI, Google DeepMind, and xAI—until now. Why Are AI Giants Backing Away?Meta’s strategic alignment with Scale AI raised red flags for its competitors on three fronts:1.   Loss of neutralityA once-independent partner is now entangled with a direct rival, making it harder to trust shared pipelines.2.   Information riskData labeling exposes sensitive inputs. Even if unintentionally, Meta could gain indirect insights into rival systems.3.   Revenue leakageUsing Scale AI now means funding Meta—something competitors are unwilling to do.As a result, firms like OpenAI and DeepMind are actively cutting ties and seeking new, neutral providers. Who Stands to Gain? Meet the Rising AlternativesSeveral up-and-coming data labeling firms are quickly filling the void left by Scale AI’s compromised position:AppenFounded: 1996, publicly traded (Australia)Strength: Global reach, hundreds of thousands of crowd workersTrusted by Amazon, Microsoft, and GoogleMercorFounded: 2022~2023Known for: Uber-like matching of flexible human labelersScales quickly, dubbed the “Uber for AI tasks”SapienFounded: 2023Focus: RLHF tasks with bias and ethics evaluationGaining traction among OpenAI affiliatesHumanloopFounded: 2020Builds tools to structure and incorporate human feedbackStrong compatibility with Hugging Face ecosystemThese firms are reportedly growing so fast that servers are “melting”—a metaphor now circulating among developers and insiders. A New Phase in the AI Arms RaceMeta’s Scale AI deal may have secured a fast lane for its own model development—but it came at a price: trust.The fallout is reshaping the data supply layer of the AI industry. Neutrality and transparency are now top criteria for model developers, and smaller firms are rising to meet the demand.Ironically, a move designed to consolidate power is accelerating decentralization. The data labeling ecosystem is fragmenting—and flourishing in the process.This marks the beginning of a new chapter in the AI race. The battle for compute may dominate headlines, but the fight for clean, trusted data has just entered Act Two.[Compliance Note]All posts by Sellsmart are for informational purposes only. Final investment decisions should be made with careful judgment and at the investor’s own risk.The content of this post may be inaccurate, and any profits or losses resulting from trades are solely the responsibility of the investor.Core16 may hold positions in the stocks mentioned in this post and may buy or sell them at any time.
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META
Meta Platforms
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셀스마트 YUN
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3 days ago
The End of Driving: Autonomous Cars Create a New Consumer Space
article
Neutral
Neutral
TSLA
Tesla
user
셀스마트 YUN
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1 week ago
The New Front in AI: Compute Gigafactories and the Invisible Winners
article
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Neutral
NEE
NextEra Energy
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user
셀스마트 YUN
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1 week ago
Meta’s Scale AI Bet Just Sparked the Data War—Here Come the Winners
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META
Meta Platforms