Today’s menu 🍽️👇️ 

Length: 5 minutes ⏰ 

• Nvidia vs. Microsoft: Who will hit a $4 trillion market cap first? 💵 

• Google’s AI is now an antitrust target in Europe ⚖️

• The algorithm that detects gut disease 👀

• The silent AI exploit hiding in research papers 🤐

• Turn app ideas into real UI designs with Google’s Stitch 🧩

• Prompt of the week 💬

• Top AI tools of the week ⚒️

FRESH AI NEWS

Microsoft and Nvidia are the odd $4 Trillion power couple 👀 

Microsoft and Nvidia are both aiming for a historic $4 trillion value, but their journeys to reach this goal show very different AI strategies. Microsoft has greater execution risks, even though it has a more varied income source 🧠

• Microsoft's stock only needs to climb by another 8.3% for the company to become the founding member of the $4 trillion club, which analysts consider a strong possibility by the end of 2025 📈

• Microsoft's relationship with OpenAI has hit a rough patch, with OpenAI wanting to change its corporate structure and potentially limit Microsoft's access to future technology when it reaches "artificial general intelligence" 🌍

• Analysts estimate that AI services within Microsoft's Azure cloud-computing arm generated revenue of $11.5 billion for the just-ended fiscal year 💰

• Nvidia's annual sales have surged more than 10-fold over the last three years and are still expected to average 32% growth annually over the next three years 🚀

Why You Should Care: This $4 trillion race shows the different AI investment strategies that will shape Big Tech's future. Nvidia gains from the current demand for AI infrastructure. Microsoft, on the other hand, needs to prove that AI can be as transformative as Windows was. This is a longer-term bet that has less room for error given the high valuations.

Google faces EU antitrust complaint over AI Overviews 💥

Google is dealing with a formal EU antitrust complaint from independent publishers about AI Overviews. This intensifies the regulatory fight over AI-generated search summaries. Publishers argue that these summaries are harming their web traffic and revenue 💼

• The Independent Publishers Alliance filed the complaint targeting Google's AI Overviews feature, which displays AI-generated summaries above traditional search results in over 100 countries 📊

• Damaging data reveals the feature's impact: Research from Ahrefs analyzed 300,000 keywords and found AI Overviews reduced organic clicks to top-ranking websites by 34.5% 🔍

• 37 of the top 50 US news domains suffered year-over-year traffic declines since its launch in May 2024 🚀

• The complaint escalates the "publisher war" against Big Tech, with European regulators now scrutinizing Google's most ambitious AI search integration ➡️

Why You Should Care: Publishers are dealing with major threats from AI-generated content, which lowers click-through rates by more than a third. The European Commission's response will establish important precedents for AI's role in the information ecosystem. The result could decide if tech giants can use AI to summarize third-party content without restrictions or if they need to pay publishers for lost traffic.

AI can help to understand gut bacteria 🔬

University of Tokyo researchers have introduced VBayesMM, an innovative AI system that decodes complex interactions among gut bacteria and their connections to human health issues such as obesity, cancer, and sleep disorders 🧬

• For the first time, researchers have used a special kind of AI called a Bayesian neural network to decodes gut bacteria to provide clues about health to find previously hidden connections⚡

• VBayesMM was developed by the Tsunoda Lab and tested on complex datasets. It distinguishes between bacteria that significantly affect human chemistry and those that don't ➡️
  

• The system combines neural networks with Bayesian statistics to shift through large datasets containing bacterial populations and metabolite levels 🏢
  

• Traditional statistical models have struggled with the vast number and variety of gut bacteria and their complex interactions with body chemistry 💊

Why You Should Care: Gut microbiome research is expanding rapidly, and multi-omics data streams are increasing quickly. VBayesMM provides the analytical power needed to turn complex biological data into useful clinical insights. The tool can manage uncertainty while identifying important bacterial contributors. This marks a significant step toward microbiome-based diagnostics and treatments.

Researchers seek to influence peer review with hidden AI prompts 🎭

Researchers at 14 academic institutions in eight countries have been caught putting hidden AI prompts in research papers. These prompts are meant to trick AI-powered peer review systems into giving positive feedback. This raises serious concerns about academic integrity 🔁

• These prompts were often invisibly hidden in the text, for example in white font and tiny font size on a white background, making them undetectable to human reviewers but readable by AI systems 🧑‍💼

• An investigation first reported by Nikkei found at least 17 papers on the arXiv preprint server using this tactic, with institutions from Japan, South Korea, and China among those involved 📦

• The affected papers are predominantly from the field of computer science, where AI-assisted review is becoming increasingly common 📰

• While some universities criticize the procedure and announce retractions, others justify it, creating a split response from academic institutions ✅

Why You Should Care: This scandal reveals a major weakness in AI-assisted peer review systems and jeopardizes the integrity of academic publishing. As universities use AI tools more for research evaluation, the uncovering of these hidden manipulation tactics could require a complete change in how academic institutions handle AI-powered review processes. This change might slow down the adoption of technologies that improve efficiency in academic publishing.

APP UI GENERATOR

Instantly turn app ideas into real UI designs with Google’s Stitch 🧩

With Google’s new design tool Stitch, you can go from rough app idea to fully fleshed-out UI — for mobile or web — in just a few prompts. Perfect for startup founders, solo builders, or anyone prototyping fast ✅

Here’s how to get started 👇️ 

1. Open Stitch and pick either Mobile or Web as your platform.

2. Tell it your big idea.

   Just type something like: “A travel app that shows nearby attractions, includes reviews, and lets users plan their itinerary.”
   

   

   You don’t need to write like a developer. Just explain what you want.

3. Review the layout plan Stitch creates for you. You’ll see a full flow of proposed screens. If it looks good, type “Yes” and watch your design start coming to life.
   

   

4. Apply your colors, fonts, or even toggle dark mode. The design stays consistent across all screens as you make changes.
   

5. Export it wherever you need. Hand off to designers via Figma, or give developers what they need with a clean Code export.
   

   

Pro tip: Start with a broad, creative prompt. Stitch will keep the design clean and consistent as you tweak individual screens.

Check out Stitch Studio HERE 👈️

PROMPT OF THE WEEK

Turn Claude into your Competitive Intelligence Weapon 🎯

Simply paste this prompt:

“Research the [industry] market landscape, analyse the top 5 competitors, uncover pricing strategies and key partnerships, and identify 3 strategic opportunities.”

🔧Pro tip: The more comprehensive your initial prompt, the better the output.

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TOOLS OF THE WEEK

These AI tools are going VIRAL 🐝 

Treequest - A tree search library with flexible API for LLM inference-time scaling 🧠 

Veo 3 - Add sound effects, ambient noise, and even dialogue to your creations 🪄

Co-STORM - Write Wikipedia-like articles from scratch based on AI search ✍️

Voice Design V3 - Create any voice you can imagine with a prompt 🎤