Palantir Is Delivering AI-Laden Trucks to the Army
The product, developed with subcontractors including Anduril Industries Inc. and Northrop Grumman Corp., looks from the outside like a rugged military truck. Inside, it has the feel of a work space, complete with flip-down desks, multiple screens and servers.
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Forbes
7 hours ago
- Forbes
SK Telecom Releases A Korean Sovereign LLM Built From Scratch
South Korean AI sovereign model getty Last week, South Korea's SK Telecom released a new entry in the global AI race: A.X 3.1 Lite, a 7-billion-parameter language model trained entirely from scratch for Korean use cases. It's small enough to run on a smartphone but still capable of handling a broad range of tasks, no cloud required. Most regional language models are fine-tuned versions of larger, overseas architectures. Not this one. SKT's team developed A.X 3.1 Lite entirely in-house, training it on 1.65 trillion multilingual tokens with a heavy focus on Korean content. The project ran on SKT's TITAN supercomputers, and the company controlled every layer, from tokenizer to inference. The payoff? A system that keeps data inside the country and avoids reliance on foreign tech. 'Based on the Korean LLM development capabilities that we have steadily built up, we will strive to increase the independence of the AI ecosystem and contribute to enhancing the nation's AI competitiveness,' said Kim Tae-yoon, Foundation Model Manager at SK Telecom. Seven billion parameters may not sound huge by 2025 standards, but that's the point. Smaller models are faster to load, use less power, and are cheaper to fine-tune, advantages that matter for mobile apps, small businesses, and research labs. To hit that sweet spot, SKT's engineers built a 32-layer transformer with 32 attention heads, a 4,096-dimensional hidden size, and a context length of 32,768 tokens. In short: it's compact, fast, and holds its own in performance. The numbers back that up. On the KMMLU multitask reasoning benchmark for Korean language, A.X 3.1 Lite scored 61.7, about 96% of SKT's larger A.X 4.0 Lite model. On the CLIcK cultural intelligence test, it edged out its bigger sibling: 71.22 vs. 69.97. And on KoBALT-700, a broader Korean QA benchmark, it scored 27.43, competitive with models several times its size. It also produces responses using roughly a third fewer tokens than comparable GPT models for Korean prompts. That translates to lower latency and longer phone battery life. Already in Action SK Telecom isn't just testing A.X 3.1 Lite in a lab. It already powers the company's voice assistant, which can summarize calls in real time. Developers can integrate the same tech into translation apps, customer support tools, or offline chat interfaces, all without data centers or external APIs. For large-scale deployments, SKT also offers an API and Docker-based container options that run on-premises. That's a big deal for banks, hospitals, and public agencies that need to keep sensitive data in-country. A Split Strategy: Lite and Large SKT's roadmap follows a two-track model. The A.X 3 Series, like 3.1 Lite, is built entirely from scratch, focused on sovereignty, compactness, and speed. The 4 Series, by contrast, is much larger and optimized for performance through continued pretraining. This gives Korean organizations a choice: use the fast, efficient Lite models for everyday tasks or scale up with the more powerful A.X 4 line, all without changing vendors. A.X 3.1 Lite isn't the end of the line either. SKT plans to release a 34-billion-parameter version, also developed from scratch, by the end of August 2025. That model aims to improve creative writing and code generation while keeping Korean-language efficiency intact. Korea's Big Bet on AI Independence SK Telecom's effort is part of a broader national strategy. The Korean government has committed billions of won to building its own foundational AI models. A contract is in the works, and SKT, alongside rivals Naver and Kakao, is expected to compete for it. The goal? Reduce dependence on foreign APIs and models by building tools that speak Korea's language, literally and politically. This trend isn't limited to Korea. France's Mistral AI is training models on home turf using an 18,000-GPU supercomputer. The UAE's Technology Innovation Institute has released Falcon 180B and a lighter Falcon 3 line, both fully open-source. In India, BharatGPT, built with help from Google Cloud, supports more than a dozen regional languages. Saudi Arabia is funding HUMAIN, an Arabic-language model backed by the kingdom's sovereign wealth fund. The message is clear: sovereign AI isn't just a buzzword anymore. For SKT, A.X 3.1 Lite isn't just another product. It's a marker, proof that Korea can build capable, competitive language models in-house, and run them on devices people already carry in their pockets.
Yahoo
2 days ago
- Yahoo
C3.ai vs. Palantir: Which Enterprise AI Stock Should You Pick Now?
Inc. AI and Palantir Technologies Inc. PLTR are the two major players in the enterprise AI space. Both companies take a distinct approach to serving government agencies and large both aim to simplify the adoption of artificial intelligence and machine learning at scale, their strategies diverge. As investor interest in AI stocks continues to heat up, comparing these two tech firms offers insight into where the smart money may go next. The company has made significant strides in advancing its AI initiatives, positioning itself as a pure-play enterprise AI application provider. Central to its innovation strategy is the development and deployment of more than 130 turnkey AI applications tailored to real-world business challenges such as predictive maintenance, supply-chain optimization, fraud detection and drug company's proprietary C3 AI Agentic Platform serves as the foundation for these applications, enabling rapid deployment and value delivery across various industries. This platform is also the core of its generative AI efforts, supporting clients like the U.S. Air Force and USC's Shoah Foundation in predictive maintenance and large-scale data indexing, strengthen its go-to-market approach and scalability, has aggressively expanded its partner ecosystem. Strategic alliances with hyperscalers like Microsoft Azure, AWS and Google Cloud have been instrumental in embedding C3's applications into these platforms' global sales partnerships with consulting giants like McKinsey QuantumBlack and PwC aim to combine domain-specific transformation expertise with AI capabilities. These relationships not only enhance visibility but also facilitate demonstration deployments, crucial for accelerating enterprise adoption across industries ranging from chemicals and manufacturing to life sciences and public sector key AI initiative involves commercializing its Agentic AI capabilities, a domain where claims an early lead backed by patented technology dating to 2022. With more than 100 agentic AI solutions already deployed across sectors such as defense, intelligence and government, the company is now eyeing growth by licensing its platform to OEMs and services providers. As this agentic and generative AI segment gains traction, accounting for a significant portion of its annual recurring revenues, expects this area to become a central engine for future expansion, especially as demand for intelligent automation and domain-specific AI applications accelerates. The company continues to strengthen its position in enterprise AI by advancing its Artificial Intelligence Platform (AIP), which is now focused on enabling full enterprise autonomy. The company has shifted its AI strategy from augmenting human productivity to building agents capable of independently executing complex workflows. AIP acts as a bridge between large language models and real business outcomes, using Palantir's proprietary ontology framework allows organizations to deploy AI agents that operate in tandem with human users, optimizing decisions across sectors like insurance, healthcare, defense and supply chains. Palantir's AI is not merely analytical; it is operational, designed to automate tasks traditionally reliant on human the public sector, PLTR's AI agents have gained traction in critical defense and intelligence applications. The Maven Smart System, now used by NATO and U.S. defense agencies, showcases Palantir's AI capability in real-time decision-making and battlefield awareness. Similarly, its TITAN vehicle project integrates AI software directly into military hardware, reflecting Palantir's software-first approach even in traditionally hardware-dominant domains. The company's software has also enabled predictive healthcare, such as early sepsis detection, and intelligent claims automation in partnership with R1 RCM, demonstrating the flexibility of AIP across industries and its contribution to operational efficiency. Palantir's AI influence extends to commercial enterprises, with increasing adoption by large institutions. Companies like AIG and Walgreens have reported major improvements in workflow efficiency and decision-making using PLTR's AI tools. The ability to rapidly deploy agents that learn and scale with minimal technical friction is central to this has evolved into a platform that not only accelerates deployment but also allows end-users to build their agents, furthering adoption and stickiness across industries. The firm's emphasis on human-AI collaboration and real-world production use cases sets it apart in a crowded AI its strong AI-driven growth, Palantir faces concerns tied to its international business, especially in Europe. The company acknowledged that Europe remains slow in embracing AI at scale, resulting in sluggish growth and underutilization of its solutions in the region. The AI stock has rallied 31.7% in the past three months compared with the industry's growth of 6.5%. Conversely, PLTR shares have jumped 44.4% in the same time frame. Image Source: Zacks Investment Research is trading at a forward 12-month price-to-sales (P/S) ratio of 7.24X, below its three-year median of 8.33X and the industry's average of 18.26X. PLTR's forward sales multiple sits at 74.39X, above its three-year median of 16.02X. The stock is trading at a deep discount when compared with the sector average and PLTR. Image Source: Zacks Investment Research The Zacks Consensus Estimate for fiscal 2026 loss per share has narrowed to 37 cents in the past 60 days. Moreover, the consensus mark for fiscal 2027 loss per share has narrowed to 16 cents from a loss of 45 cents in the same time frame. However, loss estimates for 2025 and 2026 have widened in the past 30 days. Image Source: Zacks Investment Research The Zacks Consensus Estimate for PLTR 2025 earnings per share has declined to 58 cents in the past 30 days. Moreover, the consensus mark for 2026 earnings per share has declined to 72 cents from 73 cents in the same time frame. Image Source: Zacks Investment Research appears to be in a stronger position than Palantir at this point due to its clear and focused execution as a pure-play enterprise AI provider. The company's strategic emphasis on ready-to-deploy AI applications, strong ecosystem partnerships with cloud and consulting giants, and early momentum in agentic and generative AI technologies is helping it deliver practical business outcomes across sectors. Its ability to scale through OEM licensing and partner-led sales also enhances commercial reach without heavy operational expansion. While Palantir remains a formidable AI innovator with deep roots in government and defense, its commercial traction is still developing, and international adoption, particularly in Europe, remains a hurdle. consistent push toward monetizing AI with domain-specific use cases gives it an edge in driving adoption and value at currently carries a Zacks Rank #2 (Buy), while PLTR has a Zacks Rank #4 (Sell). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (AI) : Free Stock Analysis Report Palantir Technologies Inc. (PLTR) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. 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Business Wire
2 days ago
- Business Wire
Palantir Announces Date of Second Quarter 2025 Earnings Release and Webcast
DENVER--(BUSINESS WIRE)--Palantir Technologies Inc. (NASDAQ: PLTR) announced today that results for its second quarter ended June 30, 2025 will be released on Monday, August 4, 2025, following the close of U.S. markets. Palantir will host a webcast to discuss its results at 3:00 PM MT / 5:00 PM ET. A live webcast and replay will be available at and participants can pre-register here. In addition, shareholders can submit and vote on questions by visiting Foundational software of tomorrow. Delivered today. Additional information is available at
