Palantir vs Planet

US Militarizing and Weaponizing AI, Warns Analysis

An analysis warns that the United States is increasingly militarizing and weaponizing AI, with significant investments in military robotics and drone technology. The piece highlights figures like Emil Michael, a senior Pentagon official, and Eric Schmidt, who runs Project Eagle (formerly White Stork), aimed at building low-cost AI-enabled drones. The article argues that the Ukraine conflict is serving as a testing ground for asymmetric warfare, leading to a spending spree in robotics and physical AI by US and European VCs. There are fears of escalation and a dangerous convergence of global conflict and AI in the next decade, with potential risks to human civilization. The analysis calls for attention to AI risk beyond company cultures, focusing on the incentives of governments and VCs.

• The article was published on October 5, 2026.
• It warns that the US is militarizing and weaponizing AI.
• Mentions Emil Michael, a senior Pentagon official, who vows never to forgive Uber investors who ousted him and Travis Kalanick.

10-Q Financial Filing Analysis for Palantir (2026-08-04)

Palantir Technologies Inc. reported exceptional financial results for the second quarter ended June 30, 2026, delivering consolidated quarterly revenue of $1.94 billion, representing a 93% year-over-year increase compared to $1.00 billion in Q2 2025. Growth was propelled by explosive commercial expansion, where revenue surged 110% YoY to $945.4 million—led by a 149% increase in U.S. commercial revenue—alongside continued strong government momentum (+79% YoY to $990.0 million). The company demonstrated immense operating leverage, expanding operating income more than threefold to $912.0 million (47% operating margin) and adjusted operating margin to 62%. Palantir generated quarterly net income attributable to common stockholders of $1.06 billion ($0.41 diluted EPS), with six-month operating cash flow reaching $2.12 billion. Balance sheet strength remained notable, ending the period with $9.41 billion in cash, cash equivalents, and marketable securities, supported by a remaining performance obligation (RPO) of $4.9 billion, driven by sustained demand for its Artificial Intelligence Platform (AIP) and core software offerings across enterprise and government clients.

• Q2 2026 total revenue reached $1,935,464 thousand, up 93% YoY, driven by Government revenue of $990,032 thousand (+79% YoY) and Commercial revenue of $945,432 thousand (+110% YoY).
• GAAP operating income expanded to $912,004 thousand (47% operating margin) and adjusted income from operations rose to $1,194,472 thousand (62% adjusted operating margin).
• Total cash, cash equivalents, and marketable securities stood at $9.41 billion ($2,030,047 thousand cash/equivalents and $7,379,052 thousand marketable securities) with total remaining performance obligations (RPO) of $4.9 billion.

CData Launches Connect AI Gateway for Governed AI Agents

CData Software announced the launch of Connect AI Gateway, a new platform designed to provide a single control point for AI agents and individuals accessing enterprise systems. The Gateway integrates with CData's existing data layer and hundreds of schema-aware connectors to SAP, NetSuite, Salesforce, and databases, enabling governed access, context-aware responses, and cost-efficient model routing. It includes built-in enterprise MCP, enforces permissions down to the record level, and provides a unified audit trail. Research by CData Labs showed that their connectors returned correct results 98.5% of the time, significantly outperforming competing MCP approaches. The Gateway aims to help enterprises move AI from answering questions to taking actions within business workflows, with governance and cost control.

• CData launched Connect AI Gateway, a platform for governing AI agent access to enterprise systems.
• The Gateway includes built-in enterprise MCP and hundreds of schema-aware connectors.
• CData Labs research found connectors returned correct results 98.5% of the time, versus 65-75% for competing MCP approaches.

Planet Launches Suncatcher, Tanager-2, and 18 SuperDove Satellites

Planet announced the launch of Suncatcher, Tanager-2, and 18 SuperDove satellites, along with several other major announcements including a landmark German federal contract, a new AI tool for the Amazon, and a 7-figure defense agreement.

Google Sends AI Chips to Space for Testing

Google's Project Suncatcher has launched its first AI chip into orbit, marking a step toward space-based data centers. The prototype satellite, built with Planet Labs and launched on SpaceX's Transporter-18 mission, carries four Trillium TPUs, the same chips used for Gemini models. Testing these chips against radiation, vibration, and extreme temperatures, the mission runs Google's Gemma model in 15-minute intervals due to heat dissipation challenges in a vacuum. The one-year mission aims to validate endurance; ground tests showed higher radiation resistance than expected, but silent data corruption remains a challenge. Economic viability requires launch costs below $200 per kilogram, needing about 1,800 Starship flights over ten years. Google published groundwork in Joule and plans two more satellites with laser links by early 2027, aligning with Elon Musk's vision of solar-powered orbital data centers.

• Google launched its first AI chip (TPU) into orbit via Project Suncatcher, with a satellite built by Planet Labs and launched on SpaceX's Transporter-18 mission.
• The satellite carries four Trillium TPUs, the same AI chips used for Gemini, and runs Gemma in 15-minute intervals due to thermal constraints.
• The mission lasts one year; two more satellites with laser-linked chips are planned for launch by early 2027.

Google to send TPUs to space with Planet

Google has provided an update on Project Suncatcher, its initiative to put AI compute in space. In collaboration with satellite imaging company Planet, Google will send some of its Trillium TPUs to orbit on the SpaceX Transporter-18 rideshare mission. The company has conducted stress tests, confirming the chips can withstand radiation doses beyond a five-year mission requirement. Cooling in the vacuum of space remains a challenge. This move reflects the growing energy and space demands of AI training and inference, potentially shifting significant compute operations off-planet.

• Google will send Trillium TPUs to space on SpaceX Transporter-18 with partner Planet.
• The chips survived radiation doses greater than a five-year mission requirement.
• Cooling in space remains a challenge for the project.