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Gooseworks, a YC W23 startup, seeks Founding Creative Engineer to lead AI-driven growth

Gooseworks, a San Francisco-based YC W23 company building self-improving AI agents that manage ad creative, UGC, and organic content for consumer brands, is hiring a Founding Creative Engineer. The role involves designing AI-operated creator channels, shaping the company's voice on platforms like X and LinkedIn, and training the taste layer of its creative agent. The startup, only a few months old, already has over 200 paying users and has generated more than 30,000 ad creatives in two months.

YC-backed Mireye launches infrastructure letting AI agents request real-world data fields on demand

Mireye, part of YC's S26 batch, has launched a system where users can describe a data field in plain language along with a location, and the platform either returns a cataloged match with a citation, offers a near-match to accept or reject, or queues a new build with a trackable request ID. Requests for data it cannot legally or technically source—such as real-time personal contact information—are explicitly rejected with a pointer to alternative sources.

Nvidia launches open-source PAIR to distribute AI agent tasks across home PCs

Nvidia has released PAIR (Personal AI Router) in open beta on GitHub, a system that lets users split GPU-intensive AI agent workloads into parallel subtasks and offload them to other computers on the same local network. The software works across Windows, Mac and Linux, uses mDNS for device discovery and MTLS for security, and currently supports the Ollama and LM Studio model engines.

Palo Alto Networks paid $500M cash and stock for Console, sources say

Palo Alto Networks acquired Console, a two-year-old startup using AI agents to automate IT help desk tasks, for roughly $500 million in cash and stock, according to people familiar with the deal. The company had only raised $29 million and was last valued at $157 million, meaning investors—including Palo Alto Networks CEO Nikesh Arora, an early angel backer—saw a swift and substantial return. Neither company disclosed financial terms publicly.

Rodrigo Rosenfeld Rosas warns AI coding agents are killing the refactoring instinct

Software engineer Rodrigo Rosenfeld Rosas observes that teams increasingly avoid rewriting or restructuring messy codebases now that AI agents handle day-to-day coding tasks. He argues this isn't about the quality of agent-generated code, but about engineers losing the reflex to recognize when a system has become unmanageable and needs structural intervention.

OpenAI Reportedly Testing Risky New AI Technique Amid Agent Safety Concerns

OpenAI is reportedly experimenting with a new and potentially risky technical approach at a moment when concerns about autonomous AI agents acting unpredictably are already running high. Details of the specific technique were not disclosed, but the timing has drawn scrutiny given the broader industry anxiety over AI systems operating with less human oversight.

AWS Executive Ruba Borno Deploys AI Agents Internally to Model Adoption for Clients

Ruba Borno, who leads AWS's Global Specialists and Partners organization, is using AI agents to run her own team's operations while also guiding AWS customers on how to integrate AI into their businesses. Her approach treats internal adoption as a demonstration of the practices she recommends to clients seeking to apply AI advances for measurable business results.

Val Town treats documentation as bait for AI agents, not just search engines

Val Town's team found that most new Pro subscribers in July were referred by AI systems, chiefly Claude, even before the company deliberately optimized its site for machine readers. They discovered that many of these referrals came not from clickable citations but from the models' training memory mentioning Val Town as plain text, meaning standard referral tracking like utm_source and Referer headers missed much of the actual traffic source.

AIR emerges from stealth with $50M to secure AI agent tools and plugins

Israeli startup AIR, founded by former Unit 8200 cybersecurity officers Yair Saban and Niv Hoffman, has raised $50 million across two seed rounds to build a platform that monitors and vets the skills, plugins, and MCP servers that AI agents use inside companies. The rounds, led by Sequoia and Greenoaks respectively, closed weeks apart and included several notable angel investors from the cybersecurity world.

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