Nvidia will use Palantir to gain insight its supply chain

cio.com Sep 12, 2026

Nvidia will use Palantir to gain insight its supply chain

Curated by Shubham · TechCapsules · Sep 12, 2026

AI-summarised brief · reviewed before publication

Nvidia announced a partnership with Palantir to integrate Palantir’s Foundry platform with Nvidia’s Nemotron open‑AI model, creating a joint AI‑driven supply‑chain analytics solution. The collaboration will allow Nvidia to map its worldwide network of suppliers and partners, flagging risks, evaluating alternatives and allocating materials based on end‑to‑end production impact. Simultaneously, Palantir will embed Nemotron into its existing software stack, giving its customers the ability to train the model on proprietary data and improve visibility into their own supply‑chain constraints and trade‑offs. Both firms, already close partners, said the combined offering transforms a complex operational graph into “sovereign intelligence,” a term reflecting growing concerns over geopolitical pressures on global supply chains. The deal underscores a strategic push to embed advanced AI across enterprise logistics.

💡 Why It Matters

· By fusing Nvidia’s cutting‑edge AI models with Palantir’s data‑ontology, the alliance offers enterprises a unified tool to pre‑empt disruptions in an increasingly politicized supply‑chain landscape.

AI Capsules Nvidia Partnership

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OpenAI launches ChatGPT Work and ChatGPT Ads for marketing teams

OpenAI unveiled ChatGPT Work, a collaborative workspace that aggregates customer research, sales dialogues and campaign metrics for marketing teams, and simultaneously launched ChatGPT Ads, an advertising interface that places ads within users’ ChatGPT queries. The platform integrates with dozens of third‑party tools—including HubSpot, Salesforce, Adobe, Figma, Mailchimp, Slack, Google Drive, Microsoft SharePoint, BigQuery, Airtable, monday.com, Klaviyo and Semrush—plus OpenAI’s own Data and Product Design plugins for pre‑built campaign analysis and creative prototyping. By bundling these integrations, OpenAI positions itself against entrenched marketing suites while Meta advances its AI‑driven ad‑buying automation, such as Advantage+ and the upcoming fully autonomous ad purchase model. Independent assessments of adoption or effectiveness were unavailable at the time of publication.

💡 OpenAI’s entry creates a unified AI‑centric hub that could force marketers to rethink existing tech stacks, while Meta’s parallel push toward end‑to‑end automation threatens to shift budget control away from human planners.

thestar.com.my · Sep 13

Obama voices caution on AI, urges Democrats to tackle it, NYT says

Former President Barack Obama warned that artificial intelligence poses a danger if left unmanaged, urging Democrats to prioritize AI policy and governance. Speaking at a private fundraising event, Obama told House Minority Leader Hakeem Jeffries that, should Democrats regain the House in the November 3 midterms, they should launch a public framework for AI regulation. He also urged candidates in the 2028 presidential race to make AI safety and economic impacts a central campaign issue. Obama’s comments coincide with a surge of congressional calls for stricter AI rules after two Anthropic researchers warned that rapid advances could threaten human survival. Industry leaders, including Anthropic CEO Dario Amodei, OpenAI’s Sam Altman and Elon Musk, have recently advocated throttling AI development to curb misuse.

💡 Obama’s appeal could galvanize a coordinated Democratic legislative push, shaping the nation’s first comprehensive AI regulatory agenda.

en.sedaily.com · Sep 13

Hyundai Bets on “Data Flywheel” to Close Self-Driving Gap

Hyundai Motor Group announced a “data flywheel” strategy at an autonomous‑driving media day on Nov. 11, outlining how it will use its 7 million‑vehicle annual sales base to collect real‑world driving data, train vision‑language‑action AI models, and redeploy improved software to vehicles in a self‑reinforcing cycle. Park Min‑woo, president of the AVP division and CEO of 42dot, said the approach aims to outpace rivals such as Tesla in data volume by 2033, with a target to surpass competitors within five years of mass‑producing autonomous systems. The group plans to introduce Level 2+ features using Nvidia technology in mass‑produced models in early 2028 and Level 2++ later that year, leveraging in‑house software and AI capabilities to deliver global customer experiences.

💡 Hyundai’s plan turns its massive sales footprint into a competitive data engine, potentially reshaping the speed at which autonomous features reach consumers.

nynewscast.com · Sep 13

Quant AI Wants to Build the Intelligence Layer for Global Markets, 400,000+…

Quant AI, an AI‑driven financial intelligence and trading platform, launched publicly on September 12, 2026 from Abu Dhabi, opening its services to a pre‑registered community of more than 400,000 users. The company positions the product as an “intelligence layer” that consolidates market data, technical analysis, news, sentiment, macroeconomic indicators, blockchain activity and smart‑money behavior into a single conversational interface. Users can ask natural‑language questions about market conditions, risks and opportunities, and receive synthesized, actionable insights without navigating multiple dashboards. Quant AI’s CEO Bartłomiej Sibiga emphasized that the platform aims to replace traditional trading terminals with a real‑time, AI‑powered companion that monitors markets continuously and assists in decision‑making across cryptocurrencies, stocks and broader global assets. The launch marks the first commercial rollout of the technology.

💡 By turning fragmented market data into a unified, conversational tool, Quant AI could redefine how retail and professional investors interact with real‑time financial information.

nationthailand.com · Sep 13

Anthropic chief proposes three-step AI slowdown plan on September 12

Anthropic CEO Dario Amodei urged leading AI firms on September 12 to adopt a three‑step slowdown framework that pairs internal independent scrutiny, shared industry safety standards, and international coordination. In an essay posted to X, Amodei emphasized that rapid progress would continue even under a measured pace, making extra time vital for aligning models with safety goals and allowing external evaluators to verify safeguards. Anthropic pledged to host independent reviewers with employee‑level access to its tools and risk‑assessment processes, and called on peers to follow suit. OpenAI’s Sam Altman publicly endorsed the plan, committing OpenAI to similar evaluator access. Amodei also suggested voluntary safety agreements, limits on unchecked development, and targeted antitrust exemptions to facilitate cooperation amid mounting U.S. legislative pressure and recent security incidents involving AI systems.

💡 By linking safety oversight to competitive parity, the proposal seeks to prevent a race to the bottom that could let unchecked AI agents cause systemic internet disruption.

marginalrevolution.com · Sep 13

The mathematicians rebel against AI

A statement signed by Fields Medalist Terence Tao and other leading mathematicians warns that artificial intelligence could render traditional economic and mathematical reasoning obsolete, as AI systems become capable of generating correct answers with a single prompt. Tao acknowledges the potential benefits of AI for economic science but argues that the decisive factor will be how mathematicians adapt, not merely the choices of AI developers. He suggests the discipline could still reward scholars who fill conceptual gaps even if AI proves the underlying theorems, and predicts a surge in funding and interest for mathematics, especially if breakthroughs such as P vs NP or prime distribution prove unfavorable. Tao concludes that the community must re‑tool its intellectual portfolio and embrace AI‑compatible research and communication methods.

💡 Mathematicians’ willingness to integrate AI will determine whether the field retains relevance and attracts new resources, or becomes a peripheral service to automated theorem provers.