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Today:

• ChatGPT Now Edits Your Images

• OpenAI Plans Its Own Datacenter

• Microsoft Copilot Gains Research Tools

• Anthropic Wins Early Copyright Battle

• GPT-4o Sparks Ghibli Craze

This new AI image generator changes everything…

OpenAI launched GPT-4o’s image generation inside ChatGPT, letting users create, edit, and control images directly through conversation. It handles realistic details, follows instructions well, and blends text with visuals impressively. 

You can turn selfies into anime, generate memes, or design trading cards and coins. It’s useful for creativity, education, and business. This marks a major step toward making AI a visual tool, not just a text-based one.

WATCH THE VIDEO ON YOUTUBE

OpenAI Plans Its Own Datacenter

OpenAI is considering building its own data center to manage vast amounts of storage, aiming for more control, lower costs, and faster access while developing AI models. The move signals a shift away from relying solely on Microsoft and other cloud providers. Linked to its massive Stargate project, OpenAI could triple its capacity this year and boost researcher computing power eightfold, positioning itself to dominate the future of artificial intelligence.

Why It Matters

1. Control & Speed: Faster access to data speeds up AI development and reduces reliance on outside tech giants.
   

2. Cost Efficiency: Owning infrastructure could reduce long-term storage and data transfer costs.
   

3. Scale & Power: Boosting computing and storage capacity supports bigger, more advanced AI models.

Microsoft Copilot Gains Research Tools

Microsoft is adding two AI tools—Researcher and Analyst—to its Copilot suite. Researcher helps users gather complex information from multiple sources, while Analyst can analyze raw data, write code, and build reports using OpenAI’s reasoning models. These tools begin rolling out in April. Microsoft also introduced new automation agents for Copilot Studio, aiming to simplify tasks with minimal coding, targeting everyday workflows like managing emails or reports.

Why It Matters

1. Expands AI Usefulness: Makes advanced research and analysis accessible to non-experts.
   

2. Boosts Productivity: Automates time-consuming tasks like data processing and reporting.
   

3. Signals AI Shift: Shows Microsoft’s commitment to turning Copilot into a full-featured AI assistant.

Anthropic Wins Early Copyright Battle

A U.S. judge denied a request by major music publishers to stop Anthropic from using song lyrics to train its AI, Claude. The judge said the claim was too broad and didn’t prove serious harm. While the publishers argue this use damages their business, the case hinges on whether AI training qualifies as “fair use” under copyright law—an issue still unresolved and central to many ongoing legal battles in the AI world.

Why It Matter

1. Legal Precedent: Sets the tone for how copyright law applies to AI training.
   

2. Fair Use Debate: Reinforces the unresolved legal status of using copyrighted content in AI.
   

3. Industry Impact: Affects how AI companies source and use data, potentially shaping future model development.

🧠RESEARCH

Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Frame AutoRegressive (FAR) is a method that predicts videos frame by frame to improve long-range video generation. It addresses problems like visual repetition and high processing cost with techniques that balance short-term detail and long-term memory. FAR outperforms existing models on both short and long video tasks.

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation

The paper investigates how large multimodal models (LMMs) can give false but convincing answers when analyzing videos. It introduces HAVEN, a benchmark to test and understand these mistakes. The authors also propose a new model that improves reasoning and reduces errors, showing clear gains in accuracy and bias reduction.

Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing

The paper introduces new methods to improve flow-based generative models during output generation. Unlike diffusion models, flow models are faster but lack flexible scaling due to their rigid design. The authors add randomness, expand search variety, and smartly manage computing effort—leading to better results without sacrificing speed.

🛠️TOP TOOLS

Prompt Silo - AI-powered tool designed to generate creative content ideas for MidJourney, an AI art generation platform.

Sketch2App - AI-powered tool that transforms hand-drawn sketches into functional application code.

FineCam - AI-powered virtual camera software that transforms various devices into high-definition webcams for video conferencing and content creation.

Scrip AI - AI-powered content creation tool designed to streamline the process of generating engaging digital content across multiple platforms.

Scribble AI - automatic text generator powered by OpenAI’s GPT-3 Language Model, designed to create a wide range of content quickly and efficiently.

📲SOCIAL MEDIA

🗞️MORE NEWS

• A flood of Studio Ghibli-style AI images created with OpenAI’s new GPT-4o model has overwhelmed demand, delaying free access. Fans love the feature, but critics, including Ghibli’s founder, raise ethical concerns.

• OpenAI expects its revenue to surge from $3.7 billion to $12.7 billion in 2025, driven by strong demand for its paid AI tools. It projects further growth to $29.4 billion in 2026.

• Anthropic and Databricks signed a $100 million, five-year deal to help businesses build AI agents using Claude models and Databricks’ data platform. The partnership aims to boost enterprise sales amid growing competition.

• Nvidia is reportedly close to acquiring Lepton AI, a startup that rents servers powered by Nvidia chips, in a deal worth several hundred million dollars. The move expands Nvidia’s presence in the server rental market.

• A leaked database reveals China is using AI to enhance online censorship, training a language model on 133,000 examples of politically sensitive content. The system flags dissent more efficiently, raising concerns about AI-driven repression.

• Hebbia’s Matrix platform uses multiple OpenAI models to automate 90% of finance and legal work. By orchestrating AI agents for deep research, it delivers faster insights, reduces manual effort, and boosts accuracy across complex tasks.