World's First AI Model Debuts in Vogue💃♕✨

Artificial intelligence continues to reshape diverse sectors with groundbreaking developments and debates.

• Fashion: An AI-generated model for Guess in Vogue sparks debate over diversity, ethics, and job impacts.

• Neurotech: Neuralink advances its AI-powered bionic eye, aiming to restore vision by 2030 amid regulatory challenges.

• Government: A new AI tool aims to cut federal regulations in half, highlighting both innovation and concerns over reliability.

These stories showcase AI’s growing role across industries and the complex questions it raises.

Uncover the full story behind AI’s impact — let’s explore more. 👇️ 

AI Models in Fashion: Debating Diversity, Ethics, and Industry Effects

A recent Guess advert in Vogue featured an AI-generated model by the company Seraphinne Vallora, raising debate about the use of artificial intelligence in fashion advertising. While the creators argue that developing such models is complex and their intention is not to replace real models, critics point to potential setbacks for diversity, unrealistic beauty standards, and the possible negative impact on young people’s mental health. Industry voices worry that AI models may reverse gains made in representation and make it harder to distinguish real from artificial beauty, especially since labeling is often subtle and not legally required. Despite claims that AI will simply supplement traditional modeling, there are concerns about job losses within the fashion ecosystem, as well as broader ethical questions for advertising and media.

Neuralink’s Smart Eye Project

Neuralink is developing an AI-powered bionic eye in collaboration with research teams in Spain and California, aiming to restore vision for people with severe visual impairments by 2030. The innovative device uses optogenetic techniques combined with AI algorithms to translate visual data into neural signals, potentially offering higher resolution and adaptive vision compared to current retinal prosthetics. Valued at $9 billion with expected annual revenue of $1 billion by 2031, the project faces significant regulatory and technical challenges but could transform the market for brain-computer interfaces and neurorehabilitation. Neuralink’s AI integration allows the device to dynamically adjust to changing environments, setting it apart from existing solutions. The company’s success depends on regulatory approvals, clinical validation, and scaling the technology affordably. This ambitious venture is part of a growing AI-driven healthcare market projected to reach over $15 billion by 2035, highlighting the potential for neuroprosthetics to become widely used medical devices in the future.

This AI Tool Aims to Slash Government Rules

The Department of Government Efficiency (DOGE) has developed an AI tool called the DOGE AI Deregulation Decision Tool, designed to analyze approximately 200,000 federal regulations and identify those no longer required by law, with the ambitious goal of eliminating half of these regulations within one year of President Donald Trump’s anticipated return to office. According to a July 1 PowerPoint presentation obtained by The Washington Post, the tool has already been used to review regulations at the Department of Housing and Urban Development and to draft all deregulations at the Consumer Financial Protection Bureau. While the White House stated that no official plan has yet been approved, it praised the DOGE team as highly talented. This tool is part of a series of AI initiatives developed by DOGE, some led initially by Elon Musk during the early Trump administration, although past efforts have faced criticism for reliability issues, such as an earlier AI tool that inaccurately estimated Veterans Affairs contracts.

Hand Picked Video

In today's video, we dive into the groundbreaking Gen-3 Alpha Image to Video Generator from Runway.

Top AI Products from this week

• HuHu AI - HuHu AI provides AI eCommerce creative solutions for all sizes of businesses. - AI Creative Agent for eCommerce product visuals covering wide variety product categories - Brand-validated enterprise Virtual Try-on Services for Fashion Companies - Virtual Try-on API ready to plug into existing workflow

• AI Phone Screener by Hyring - An AI-first company that builds AI agents like video interviewer and phone screener for modern workforce to make hiring 100x smarter, faster and bias-free.

• One Dollar Resume Review - After reviewing 1000s of resumes, helping 20+ companies from USA and India founded by founders from exceptional backgrounds (Stanford, Google, YC, etc.), we have built an AI-powered Resume Review tool that helps anyone to identify the most common issues.

• BugPic - BugPic helps you identify insects in seconds. Snap a photo to learn what it is, if it bites, where it lives, and why it’s interesting. Works with butterflies, moths, beetles, ants, spiders, and all the mystery bugs you find in the wild (or your bathroom).

• Bilbo - AI agent for Metabase that empowers teams to query, explore and visualize data using natural language.

• HunyuanWorld 1.0 - HunyuanWorld 1.0 by Tencent is the first open-source model for generating immersive, explorable 3D worlds from a single text prompt or image. It exports standard 3D mesh assets, making it compatible with game engines and creative pipelines.

This week in AI

• Tesla Diner Debuts - Elon Musk's retro-futuristic Hollywood diner features 80 Superchargers, Optimus robots serving popcorn, Cybertruck-style food boxes, and 24/7 movies. Opened July 21, 2025, with classic American eats and plans for global expansion if successful

• New Homo Species - Homo juluensis, a new human species from East Asia (300,000–50,000 yrs ago), may include Denisovans. Known for big skulls, unique teeth, and mixed fossil traits.

• Walker S2 Robot - UBTech’s humanoid robot swaps its own batteries in 3 mins for nonstop 24/7 industrial work, using dual-battery tech for smart, uninterrupted performance.

• Blue Ring AI SDA Mission - Blue Origin’s Blue Ring launches in 2026 with Scout Space’s AI Owl sensor, enabling autonomous tracking of satellites & debris in GEO to boost space domain awareness.

• OS-MAP Benchmark - Evaluates computer agents on 416 desktop tasks across 5 automation levels. Best agents achieve only 11.4% success rate, struggling with adaptation & orchestration.

Paper of The Day

Hierarchical Deep Reinforcement Learning (HDRL) framework for multi-year infrastructure maintenance planning under budget constraints. The approach decomposes decision-making into two levels: a Budget Planner that allocates annual budgets and a Maintenance Planner that prioritizes assets, with linear programming ensuring exact budget compliance. Tested on sewer networks of varying sizes (10-20 assets), HDRL significantly outperforms traditional Deep Q-Learning, achieving 8-15% better performance on larger networks while maintaining stable training and linear computational complexity versus exponential growth in conventional methods. This breakthrough enables practical reinforcement learning application to large-scale infrastructure management with strict financial constraints.RetryClaude can make mistakes. Please double-check responses.

To read the whole paper, go to here.