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Today:

• Ex-Google Director Discusses AI Hype

• Microsoft Lays Off 7,000 Employees

• AWS, HUMAIN Invest $5B In AI

• Nvidia Sends 18,000 AI Chips to Saudi Arabia

• Google Building AI Coding Assistant

This Former Google Director Just Revealed Everything...

Former Google and Facebook insiders debate artificial intelligence progress and hype. They recall Peter Thiel warning Sam Altman to remove charity-focused staff, and note secrecy rules that stop insiders from speaking openly. 

Advanced chatbots now grow like gardens rather than being hand-built, yet their inner workings remain unclear. Trial-and-error training, called reinforcement learning, may unlock self-taught coding, but hype from dreamers and doom-sayers risks bad regulation and widespread public confusion.

WATCH THE VIDEO ON YOUTUBE

Microsoft Lays Off 7,000 Employees

Microsoft is laying off 7,000 employees—about 3% of its workforce—to shift resources toward its growing AI strategy. Rather than automation directly replacing jobs, the cuts support major investments in AI tools across products like Azure and Microsoft 365. CEO Satya Nadella envisions Microsoft as an “AI distillation factory,” focusing on smaller, specialized models. The move aligns with rising stock prices and AI-related capital spending set to reach $80 billion in fiscal year 2025.

Why This Matters

1. AI-Driven Restructuring: Shows how major corporations are reallocating resources toward AI, reshaping the modern workforce.
   

2. Model Specialization Trend: Nadella’s “distillation factory” vision reflects a shift from massive general-purpose models to leaner, task-specific AI—an industry-wide trend.
   

3. Enterprise AI Integration: Demonstrates Microsoft’s aggressive embedding of AI across core platforms, pushing forward the widespread adoption of AI in business tools.

AWS, HUMAIN Invest $5B In AI

AWS and Saudi Arabia’s HUMAIN are investing over $5 billion to build a pioneering “AI Zone” in the Kingdom. This partnership aims to advance AI infrastructure, launch a unified AI agent marketplace, and support large-scale training programs, especially for youth and women. The effort aligns with Saudi Vision 2030, aiming to turn the country into a global AI hub by accelerating adoption across sectors like healthcare, government, education, and startups.

Why This Matters

1. Global AI Infrastructure Expansion: Establishing a high-powered AI hub in Saudi Arabia strengthens global AI capacity and decentralizes innovation away from traditional Western centers.
   

2. Arabic AI Development: The focus on Arabic Large Language Models (ALLaM) enhances linguistic diversity in AI, boosting regional relevance and accessibility.
   

3. Massive Talent Pipeline: Training 100,000 citizens and launching dedicated women’s upskilling programs builds a broad, inclusive AI workforce critical for global adoption.

Nvidia Sends 18,000 AI Chips to Saudi Arabia

Nvidia will sell over 18,000 of its top-tier Blackwell AI chips to Saudi Arabia’s HUMAIN, part of a $10 billion project to build massive AI data centers. Announced during a White House-led visit including President Trump, the deal strengthens Saudi Arabia’s AI ambitions. The chips will power 500 megawatts of AI infrastructure. Nvidia and AMD are both supplying hardware, signaling growing U.S.-Saudi AI collaboration amid relaxed export restrictions.

Why This Matters

1. Massive GPU Deployment: 18,000+ Nvidia chips in one deal shows unprecedented scale, highlighting Saudi Arabia’s serious push to lead in AI infrastructure.
   

2. Geopolitical AI Shifts: The U.S.-Saudi tech alignment marks a strategic pivot, influencing global AI chip access and regional power dynamics.
   

3. Export Policy Impact: Loosened U.S. export rules signal a shift in AI chip diplomacy, allowing broader deployment of cutting-edge AI tools in allied nations.

🧠RESEARCH

Seed1.5-VL Technical Report

Seed1.5-VL is a new AI model that understands both images and text. With a small but efficient design, it beats top models like OpenAI’s CUA on 38 of 60 tests. It handles tasks like visual puzzles, games, and GUI control well. The team shares how they built and trained it.

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

MiMo-7B is a new reasoning-focused AI model built by Xiaomi. Trained on 25 trillion words, it uses smart data mixing and fine-tuned training to solve math and coding problems. Despite its smaller size, it beats much larger models—even outperforming OpenAI's o1-mini—on logic, math, and programming benchmarks.

Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets

Step1X-3D is an open-source AI framework for creating high-quality 3D assets with realistic textures and fine control. It uses a large, well-prepared dataset and a two-part model to generate detailed 3D shapes and textures. Step1X-3D beats other open models and rivals commercial tools, helping bridge 2D and 3D generation.

🛠️TOP TOOLS

Kartiv - AI-powered design tool that enables users to create high-quality product visuals for e-commerce and marketing purposes.

Galileo AI - UI generation platform that leverages artificial intelligence to assist designers in creating user interfaces quickly and efficiently.

Fal.ai - Generative media platform that empowers developers to create applications using state-of-the-art AI models for various creative processes.

Cutout.Pro - All-in-one AI-powered visual design platform that offers a range of tools for photo and video editing

OpenAI MuseNet - Deep neural network capable of generating 4-minute musical compositions using up to 10 instruments.

📲SOCIAL MEDIA

🗞️MORE NEWS

• Google is developing a software development AI agent to assist engineers throughout the coding lifecycle. It may also launch a Pinterest-like feature for fashion and design inspiration. Google I/O may reveal Gemini AI integrations with Android XR devices and Chrome.

• OpenVision, an open-source vision encoder from UCSC, aims to outperform OpenAI's CLIP and Google's SigLIP. It supports various model sizes for diverse applications, offers efficient training, and excels in multimodal benchmarks, making it ideal for enterprise AI without vendor lock-in.

• Google's Gemma AI models have surpassed 150 million downloads, with over 70,000 variants on Hugging Face. Despite this milestone, Gemma lags behind Meta’s Llama, which reached 1.2 billion downloads. Gemma supports multimodal tasks and over 100 languages.

• Notion has integrated GPT-4.1 and Claude 3.7 into its platform, offering fast, secure AI features like meeting notes, enterprise search, and research mode. It aims to compete by unifying tools into one workspace.

• Google is testing an “AI Mode” directly on its homepage, replacing the “I’m Feeling Lucky” button. This move highlights its push to promote Gemini and compete with ChatGPT, which still leads in user numbers.

• Sakana has launched a new AI architecture called Continuous Thought Machines (CTMs), inspired by the human brain. Unlike Transformers, CTMs adapt reasoning depth based on task complexity, offering better interpretability, flexibility, and efficiency for complex, real-world problems.