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Today:

• OpenAI Paper Reveals Why Chatbots Hallucinate Answers

• Unitree Targets $7B IPO Amid China’s Robotics Push

• Nebius Secures $17.4B Microsoft AI Infrastructure Deal

• Databricks Raises $1B, Hits $100B Valuation in AI Boom

• OpenAI Backs Critterz, an AI-Made Movie Aiming for Cannes

OpenAI Just SOLVED Hallucinations…

OpenAI's new paper explains why language models "hallucinate"—confidently giving wrong answers. Like students guessing on tough multiple-choice questions, models are trained to prioritize correct answers but aren’t rewarded for saying “I don’t know.” 

This leads them to guess when unsure, even if wrong. The paper argues that hallucinations come not from broken models, but from how we train and evaluate them, which unintentionally rewards confident guessing over honest uncertainty.

WATCH THE VIDEO ON YOUTUBE

Unitree Targets $7B IPO Amid China’s Robotics Push

Chinese robotics company Unitree is aiming for a $7 billion IPO, potentially one of the country’s biggest tech listings in years. Known for its lifelike humanoid robots, Unitree has backing from giants like Alibaba and Tencent. The IPO comes amid China’s push for tech independence and follows a rare meeting with President Xi. If successful, it would signal investor confidence in robotics as a key part of China's innovation strategy.

Why This Matters

1. AI-Driven Robotics at Scale – Unitree’s IPO underscores rising global investment in humanoid robots powered by AI, blending physical autonomy with advanced learning.
   

2. China’s AI Ambitions – The company’s support from Xi Jinping and alignment with China’s tech self-sufficiency goals highlight geopolitical stakes in AI and robotics.
   

3. Investor Signal – A successful $7B valuation could boost confidence in AI robotics as a commercially viable and scalable industry, globally.

Nebius Secures $17.4B Microsoft AI Infrastructure Deal

Nebius Group, a Dutch AI infrastructure firm, secured a $17.4 billion, five-year deal with Microsoft to provide GPU capacity from its upcoming New Jersey data center. The deal could grow to $19.4 billion, making it one of the largest AI infrastructure agreements ever. Nebius, a spin-off from Russian tech giant Yandex, saw its stock soar 60% on the news and expects this deal to fund major global expansion in AI cloud services.

Why This Matters

1. Massive Compute Scale – Microsoft locking in dedicated GPU infrastructure signals escalating demand for AI training and inference power.
   

2. Rise of New Players – Nebius’s rapid rise shows how post-Yandex spinouts are reshaping global AI infrastructure.
   

3. AI Geopolitics & Diversification – This U.S.-Europe deal highlights shifts in tech alliances amid rising scrutiny of AI infrastructure supply chains.

Databricks Raises $1B, Hits $100B Valuation in AI Boom

Databricks has raised $1 billion in new funding, pushing its valuation over $100 billion and cementing its status as one of the world’s top AI and data startups. Backers include Andreessen Horowitz and Insight Partners. The company reports a $4 billion revenue run rate, with $1 billion coming from AI products alone—growing 50% year-over-year. This marks a major milestone in the AI software space amid fierce global competition.

Why This Matters

1. AI Monetization Milestone – Databricks hitting $1B AI revenue run rate proves enterprise-grade AI products are financially scalable.
   

2. Market Confidence – The $100B valuation reflects investor belief in the strategic value of data infrastructure powering AI.
   

3. US AI Ecosystem Strength – Amid the US-China AI race, Databricks strengthens America’s position in foundational AI tools and platforms.

🧠RESEARCH

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks

The DeepResearch Arena is a new test to measure how well AI can handle real research tasks. It uses over 10,000 challenges drawn from academic seminars in 12 fields. Early results show even advanced AI struggles, revealing big gaps between current AI and true research-level thinking.

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

Inverse IFEval is a new test to check if AI models can ignore old habits and follow odd or tricky instructions. It uses over 1,000 unusual questions in English and Chinese. Results show today’s AIs struggle with unexpected tasks, revealing the need for more flexible and adaptable models.

Symbolic Graphics Programming with Large Language Models

This paper explores how AI models can turn text into precise images using vector graphics. By training models with feedback from images they generate, researchers improved how well AIs understand shapes, scenes, and layout. Their method helps open-source models nearly match top commercial systems in generating accurate and clear visuals.

🛠️TOP TOOLS

PromptPal - AI prompt management platform designed to streamline the process of creating, organizing, and collaborating on AI-generated content.

Tldv - AI-powered meeting assistant designed to streamline the entire meeting process, from recording to follow-up.

GPT Researcher - open-source autonomous agent designed to revolutionize online research tasks.

Designify - AI-powered web application that transforms ordinary photos into professional-quality designs.

Playground AI - Text-to-image model developed by Playground AI

📲 PODCAST

Max Harned built an AI-powered language-learning game in four months using “vibe coding”—natural language prompts instead of traditional code. He combined tools like GPT-5, Cursor, Midjourney, and Suno to create a roguelike deckbuilder that teaches vocabulary through play. 

Despite having no coding background, he produced a full-featured game with animations, audio, and lessons. The project shows how AI unlocks creative game development for non-engineers. WATCH HERE…

🗞️MORE NEWS

• OpenAI is helping create Critterz, an animated movie made mostly with AI tools, aiming for a global theater release and a Cannes debut. The project shows AI can make films faster and cheaper than Hollywood.

• Meta secured $26 billion in off-book funding for a massive AI data center by guaranteeing the lease. A third-party will own it, while Meta uses it for 20 years—freeing up cash for AI expansion.

• Dan Ives is now chair of a company buying Sam Altman’s Worldcoin as a main asset, betting on its role in proving human identity amid rising AI threats. A $250M crypto treasury plan is underway.

• Anthropic supports California’s SB 53, a bill requiring big AI companies to publicly report safety risks, incidents, and mitigation plans. The law promotes transparency and accountability without overburdening smaller startups or slowing innovation.

• Researchers developed a fast, scalable system using graph neural networks and reinforcement learning to coordinate eight robots in complex spaces. Their AI model plans tasks and motion efficiently, adapting instantly to new obstacles and layouts.