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The Rundown AI·Industryhot

OpenAI Launches Jobs Platform to Challenge LinkedIn, DeepSeek Develops Self-Improving AI Agent

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OpenAI Jobs Platform

💼OpenAI's AI Jobs Platform, Certification Program

OpenAI's CEO of Applications, Fidji Simo, just announced the company's plans to launch the OpenAI Jobs Platform, designed to connect businesses with AI-skilled workers, alongside a new certification program for AI fluency.

  • The platform will match employers with AI-savvy job candidates, with dedicated tracks for small businesses and local governments seeking talent
  • OpenAI partnered with Walmart and other employers to develop certification programs that teach different levels of AI fluency directly within ChatGPT
  • Simo said the goal is to certify 10M Americans in AI fluency by 2030, with the program expanding on its previously launched OpenAI Academy resources
  • The initiative coincides with White House AI literacy efforts, with tech leaders meeting in Washington this week to discuss workforce development

Why it matters: OpenAI is positioning itself as both a disruptor and a solution provider, creating AI tools that transform jobs while building infrastructure to retrain displaced workers. The move also pits OAI against (Microsoft-owned) LinkedIn in the talent marketplace, creating yet another front for the two icy partners to fight over.

DeepSeek AI Agent

🐳DeepSeek's 'Self-Improving' AI Agent

DeepSeek is working on a new AI with advanced agentic capabilities, including executing multi-step tasks autonomously and self-improving, according to Bloomberg — with the Chinese startup aiming for a release in Q4 of this year.

  • The new system will handle complex workflows with minimal user input and "learn and improve based on its prior actions"
  • Founder Liang Wenfeng aims to deliver the agent by the end of the year, while the company's R1 successor still awaits release after reported internal delays
  • The launch would follow agentic trends from AI leaders, including releases like ChatGPT Agent, Anthropic's Claude for Chrome, and more
  • DeepSeek has remained relatively quiet of late, despite Chinese rivals like Alibaba and Tencent pushing aggressive release schedules

Why it matters: R1's 'DeepSeek moment' shook up the AI model world less than a year ago, but the anticipation for the lab's next major release has been a waiting game. With broad agentic capabilities still struggling to live up to the 'year of the AI agent' moniker, DeepSeek could have another sector-altering launch up its sleeve.

3D Visuals

📷Transform Photos into 3D-Style Visuals

In this tutorial, you will learn how to use Google's Nano Banana model to recreate any room or environment in isometric view, giving you a bird's-eye perspective that reveals hidden details and creates visuals for content/design mockups.

  • Go to gemini.google.com, toggle on "Tools", and select "Create Images" (with the banana icon)
  • Upload any room photo and prompt: "Recreate this image in isometric view" —suddenly see details that weren't visible before
  • Refine elements: "Make the room bigger," "Add punk rock theme with minimalist chandelier" — Nano Banana edits without regenerating the image
  • Swap environments: "Change cityscape window to ocean view" or "Add natural sunlight and a door to another room" — perfect for testing interior design ideas
  • Push further with VEO: Upload your edited image and prompt "Make this room lively by adding two dogs running through" to create a video with sound effects

Why it matters: Nano Banana is great for both content creation and interior design mockups. It's excellent at editing elements while keeping the rest of the image consistent.

EmbeddingGemma

📱Google's EmbeddingGemma for On-Device AI

Google DeepMind released EmbeddingGemma, a new addition to its open-source Gemma model family that is efficient enough to run on consumer devices, letting apps search and understand text in 100+ languages without internet.

  • The model works fast enough for real-time responses while consuming less memory than a photo app, making it practical for smartphones and laptops
  • Google built it to power offline search across personal files, messages, and emails, keeping sensitive data on-device rather than sending it to the cloud
  • Developers can adjust the model's precision based on needs, choosing between accuracy or faster speeds depending on the specific application
  • The system already integrates with popular developer tools and runs directly in web browsers, enabling privacy-focused apps that function completely offline

Why it matters: Google's timing positions models like EmbeddingGemma as critical infrastructure for the coming wave of on-device AI agents and assistants, enabling a new class of privacy-preserving offline apps. Any on-device release from Google also now has extra interest given the tech giant's potential Siri-powered ambitions.