One Epic Chart - AI’s World Takeover, You Can’t Ignore 📊🌍

Your AI Product - News Report - April 30th

Author

Samuel Pierre-Gilles
April 30, 2025

For those that are new around here, this is an extension of my weekly newsletter where I highlight new and innovative AI products that are worth exploring.


Hey hey!

Happy Wednesday!

Here’s your news in newsletter!

Riding off the high of yesterday’s catchup recap, Today’s News issue covers the news from the past week, so it’ll be short and sweet.

In this Issue:

  • Your Weekly Industry News Recap

  • The Raise Recap

Headliner: One Epic Chart - AI’s World Takeover, You Can’t Ignore 📊🌍

The Ultimate Visual Breakdown of the AI Index Report 2025 (VC+)

Get our visual guide to the 2025 AI Index Report, only on VC+

www.visualcapitalist.com/the-ultimate-visual-breakdown-of-the-ai-index-report-2025-vc

Visual Capitalist dropped a data-packed breakdown of the 2025 AI Index, charting AI’s crazy growth across industries. 🚀📈 From research output to model efficiency to investment surges, AI’s global momentum looks unstoppable—but uneven. Some sectors (like healthcare and finance) are racing ahead, while others are just waking up. ⚡🌍 If you love trends and infographics, this report is pure gold.
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Your Weekly Industry News Recap

  • Top Generative AI Apps in the Enterprise – From chatbots to copilots, this breakdown covers real-world genAI use cases by industry. 🏢🤖
    🔗 Read More

  • OpenAI Adds Shopping Tools to ChatGPT – ChatGPT just got a cart: OpenAI is testing shopping-focused search enhancements. 🛒💬 🔗 Read More

  • AI’s Big Role in Future Product Design – AI isn’t just helping design products—it’s becoming a creative partner in the process. 🎨🤝 🔗 Read More

  • India Faces Agentic AI Talent Shortage – Demand is booming, but there’s a shortage of talent to build agentic systems. 🇮🇳🚨 🔗 Read More

  • Alibaba’s Qwen3 Open-Source Model Outperforms – Alibaba’s latest model beats out OpenAI’s O1 and DeepSeek R1 on key benchmarks. 🏆🇨🇳
    🔗 Read More 

  • Rachel Chng Talks Ignition AI Accelerator – The co-founder shares how she’s helping founders build and scale AI startups fast. 🚀🧠 🔗 Read More  

  • Bloomberg Research Flags RAG Safety Risks – Retrieval-augmented generation isn’t all good—new research shows surprising safety issues. 🧠🚧 🔗 Read More

  • Microsoft Simplifies Copilot with Team Merge – Internal shakeups at Microsoft aim to streamline AI assistant integration across tools. 🔄💼 🔗 Read More

  • Baidu Drops Ernie 4.5 Turbo + Dev Tools – China’s AI race heats up with Baidu’s new models and open developer platform. ⚙️🧠 🔗 Read More

  • Qubrid Signs Asian Distributor Deal – Qubrid is expanding on-premise AI hardware access across Asia. 🖥️🌏 🔗 Read More

  • Mashable on GenAI’s Environmental Cost – The U.S. government (one of its agencies, at least) is waking up to the climate toll of large AI models. 🌎⚠️🔗 Read More

  • Sustainability Must Join the AI Hype Train – Productivity is great, but where’s the green AI strategy? 🧠🌱 🔗Read More

  • ReversingLabs Adds CycloneDX xBOM Support – Full software bill of materials (xBOM) support for deep AI and software supply chain security. 🔐📦
    🔗 Read More

  • ABB Chooses Coveo for AI Commerce Discovery – ABB’s new AI tool is powering smarter search in its customer portal. 🔎🛠️ 🔗 Read More

  • Op-Ed: EU Faces Risk After Dropping AI Liability Rule – Critics say ditching the AI liability directive leaves citizens exposed. ⚠️🇪🇺 🔗 Read More

  • Acquisitive VCs Are Eating the AI Market – Stripe, Infinite, and others are snatching up startups at speed—M&A is back. 🛒🔥 🔗 Read More

  • Diligent Launches AI Risk Essentials Suite – A new AI toolkit to help boards and risk teams govern smarter and faster. ⚙️📘 🔗 Read More

  • Google Accelerator Makes AI Entry a Must-Have – AI isn’t optional anymore—every accepted startup is AI-native. ✅🤖 🔗 Read More

This Week’s Raise Recap 📈💰 

  • Palo Alto Networks to Acquire Protect AI – Big security play: Palo Alto is scooping up Protect AI to lock down the AI stack. 🔐🤖
    🔗 Read More

  • Venture Capital Secondary Market Heats Up – With IPOs slowing, VCs are trading stakes in AI unicorns like baseball cards. 💸📉
    🔗 Read More

  • Fluency AI Raises $15M Pre-Seed to Fix Docs – This early-stage AI startup wants to automate process documentation with real intelligence. 📑⚡
    🔗 Read More

  • Reducto Raises $24.5M to Unlock Unstructured Data – This AI platform helps enterprises dig into messy data with precision and speed. 🔍📊
    🔗 Read More

  • Paradigm & Nous Back Crypto-AI Venture – AI and crypto are merging again, with DeepSeek and others pulling in VC hype. 🤝🔗
    🔗 Read More

  • Lovable Gets New Backing for AI Product Launch – This feel-good AI brand just pulled in new capital to scale user-first tech. 💕💡
    🔗 Read More

  • Bagel AI Nets $5.5M to Improve Product Intelligence – The platform helps companies understand product behavior using AI insights. 🥯📈
    🔗 Read More

  • Ascertain Raises $10M for Agentic AI Platform – Ascertain’s agentic AI is built for autonomy at scale—and now it’s got Series A fuel. 🧠💬
    🔗 Read More

WHAT I’M READING - Research Paper

New research on arXiv shows that even top-tier AI models crack under pressure when reading long documents. 📚🧠 Instead of smartly tracking complex narratives, most models lose focus, forget facts, or hallucinate after a few thousand words. This exposes major gaps in today’s hype around "context windows." 🚪❌ Long story short: memory and reasoning are still massive AI pain points.
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Generative AI Act II: Test Time Scaling Drives Cognition Engineering

The first generation of Large Language Models - what might be called "Act I" of generative AI (2020-2023) - achieved remarkable success through massive parameter and data scaling, yet exhibited fundamental limitations such as knowledge latency, shallow reasoning, and constrained cognitive processes. During this era, prompt engineering emerged as our primary interface with AI, enabling dialogue-level communication through natural language. We now witness the emergence of "Act II" (2024-present), where models are transitioning from knowledge-retrieval systems (in latent space) to thought-construction engines through test-time scaling techniques.

arxiv.org/abs/2504.13828

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Stay well, and see you next week!

-✌🏽 Sam

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