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  • Inside AI Village: GPT-5, Grok & Gemini Now Run Their Own Computers

Inside AI Village: GPT-5, Grok & Gemini Now Run Their Own Computers

PLUS: OpenAI Launches $4.60 ChatGPT Plan in India, Tencent’s Hunyuan-GameCraft Turns Any Image into a Playable World and more.

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Today:

  • Inside AI Village: GPT-5, Grok & Gemini Now Run Their Own Computers

  • DeepSeek V3.1 Drops: 685B Open Model Rivals U.S. AI Giants

  • Zuckerberg Reshuffles Meta AI Again 

  • OpenAI Launches $4.60 ChatGPT Plan in India

  • Tencent’s Hunyuan-GameCraft Turns Any Image into a Playable World

AI Village is getting scary

AI Village is a live experiment that gives top language models their own computers and tasks, such as raising money for charity, running a store, and playing web games. 

Models like GPT-5, Grok 4 and Gemini 2.5 work together, use memory, and improve quickly, showing jumps in skill every four months. The project offers a visible way to track how long and complex jobs AIs can finish without human help.

Chinese startup DeepSeek quietly launched V3.1, a 685-billion-parameter AI model on Hugging Face. The system matches top U.S. models in tests, reads 128,000 tokens (about a 400-page book) at high speed, and costs a fraction per task. A hybrid design merges chat, reasoning, and coding. Its fully open-source license lets anyone download, adapt, and deploy, challenging closed, pay-per-use American offerings amid global AI rivalry.

Why this matters

  1. Open access at the frontier – V3.1 shows that state-of-the-art AI can be shared freely, shifting influence from closed U.S. labs to the global developer community.

  2. Better performance-to-price ratio – The model delivers near-top scores while being far cheaper and faster, hinting at more affordable, real-time AI tools for businesses and users.

  3. Geopolitical shake-up – A Chinese open-source success intensifies U.S.–China tech competition, pressuring all players to innovate faster and rethink profit models.

Meta CEO Mark Zuckerberg is reorganizing the company’s AI operation once again. The Meta Superintelligence Labs division will split into four units: core research, superintelligence, products, and infrastructure. Some executives may leave, and layoffs or transfers loom as the division shrinks. Meta may also license outside models, revising its open-source stance. The shake-up follows high spending, missed model targets, and internal tension after hiring high-profile experts to steady its direction.

Why it matters

  1. Race for superintelligence – Big spending and team reshuffles reveal how fiercely tech giants are chasing human-level or better AI.

  2. Open vs. closed models – Meta may lock future systems, affecting how freely developers can use and improve leading-edge tools.

  3. Cost and talent pressures – Massive budgets and poaching wars show the rising price—and risk—of staying on top in AI research.

OpenAI launched ChatGPT Go in India, a budget plan costing ₹399 ($4.60) a month, far below the existing ₹1,999 Plus tier. The plan boosts message, image generation, and file upload limits ten-fold and supports UPI payments. VP Nick Turley said India is the pilot market before wider rollout. With 29 million recent Indian downloads but modest revenue, OpenAI aims to convert its Indian user base into paying subscribers and refine pricing.

Why this matters

  1. Mass-market play – A sub-$5 tier shows how AI firms will reach billions in emerging economies.

  2. Localization blueprint – UPI support and quota boosts highlight the need to tailor AI services to local payment rails and usage patterns.

  3. Competitive ripple – Google and Perplexity’s similar moves signal an industry push to democratize advanced AI, accelerating global adoption.

🧠RESEARCH

Ovis2.5, a powerful new AI model, improves image understanding and reasoning by handling visuals in their original resolution. It introduces a "thinking mode" for harder tasks and trains through a five-stage learning process. With two open-source versions, it leads in benchmarks for visual tasks, STEM, and chart analysis, especially among smaller models.

ComoRAG is a new method designed to better understand long stories and novels. Instead of retrieving information once like older tools, it thinks in steps—asking questions, updating memory, and gathering more clues. This human-like process helps it solve complex questions and improves performance by up to 11% over standard approaches.

4DNeX is a new tool that turns a single image into a dynamic 3D scene (called 4D) using a fast, feed-forward method. Unlike older tools needing multiple frames or slow processing, it uses a fine-tuned video diffusion model and a large custom dataset. It’s faster, more general, and produces realistic moving 3D views.

🛠️TOP TOOLS

Rose AI - Cloud-based data platform that revolutionizes financial data analysis and visualization through the power of generative AI

DupDub - AI-powered content creation platform designed to streamline the production of multimedia content

Gliglish - AI-powered language learning platform designed to help users improve their speaking and listening skills through interactive conversations

ClassPoint AI - Instantly generate engaging quiz questions from slide content

MyVocal AI - AI-powered platform that offers rapid voice cloning and text-to-speech capabilities

🎧PODCAST

Adam Binksmith creator of AI Village explains how AI Digest’s non-profit AI Village gives top models independent computers, a shared chatroom and season-long missions.

The project exposes how fast agentic abilities scale: Meter’s original seven-month doubling curve has shortened to roughly four months.

🗞️MORE NEWS

  • Tencent’s Hunyuan-GameCraft turns a single image into an interactive gaming video where users control camera movement in real time. Trained on over a million gameplay clips, it offers fast, high-quality, immersive experiences.

  • Meta now offers AI voice translation on Instagram and Facebook, letting creators convert English and Spanish reels into other languages using their own voice. Lip-syncing and view-by-language metrics are also included.

  • Google is partnering with TVA to buy electricity from a new nuclear reactor built by Kairos Power in Tennessee. Using molten salt cooling, the reactor aims to cut costs and emissions, supporting Google’s growing energy needs for AI.

  • Adobe has launched Acrobat Studio, a new AI-powered platform that combines PDF tools, Adobe Express, and intelligent agents. It transforms static files into interactive, conversational knowledge hubs with personalized assistants for smarter work, content creation, and collaboration.

  • Vantage Data Centers will invest over $25 billion in a massive 1,200-acre AI data center campus in Texas called "Frontier." It will host 10 ultra-dense data centers to meet growing AI compute demand, with the first building ready by late 2026.

  • Google Docs now lets users generate AI-powered audio of documents with Gemini, offering customizable voices and playback speeds. The feature supports shared listening and is available on desktop for English documents via Workspace and AI subscription plans.

  • Sam Altman admits AI is in a bubble with “insane” valuations but says OpenAI will keep aggressively spending on infrastructure, possibly trillions. While some investors may get burned, he believes AI’s long-term value will be enormous.

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