INVA-AI-HERALD

 Today's AI NEWS

Top 12 AI Headlines — August 13, 2025 

1.🔍 Perplexity AI Bids $34.5B for Google Chrome 

Perplexity AI stunned the tech world with an unsolicited $34.5 billion cash offer to buy Google’s Chrome, eclipsing its own $18 billion valuation. The deal proposes keeping Chrome’s code open while preserving Google as the default search engine. If finalized, it could transform control over internet browsing infrastructure. The move reflects aggressive positioning amid industry antitrust shifts.

2. 🐘 India Plans AI Systems to Prevent Train–Elephant Collisions 

Following success in Tamil Nadu, the Indian government plans to scale AI-powered wildlife detection systems along critical elephant corridors. The tech uses motion sensors and real-time alerts to warn train drivers of nearby elephant movement. It aims to reduce deadly wildlife collisions and enhance railway safety. The initiative signals a major win at the intersection of AI and environmental protection.

3. ⚙ General Catalyst Invests $74M in AI-Driven IT Firm Titan 

General Catalyst has injected $74 million into Titan, a holding company re-imagining enterprise IT with agentic AI services. Titan is acquiring firms to integrate AI into routine processes—aiming for automation, productivity, and customer-centric transformation. The strategy focuses on automating 30% of tasks while upskilling human operators. This funding kickstarts an ambitious AI-led modernization roadmap in traditional service industries.

4. 💻 CoreWeave Stock Surges Amid AI Hardware Demand 

CoreWeave, a leading AI infrastructure provider, saw its stock rally as investor optimism soared around high demand for GPU-powered compute capacity. Analysts view CoreWeave's performance as a bellwether for the broader AI hardware ecosystem. The strong momentum follows news of increased capital investment in AI infrastructure. Its success reflects growing market confidence in AI’s scalability and compute appetite.

5. 🤖 Sam Altman Backs Brain-Computer Interface Rival to Neuralink 

OpenAI co-founder Sam Altman has backed Merge Labs, a startup building brain-computer interface tech to rival Musk's Neuralink. With an $850 million valuation and venture funding from OpenAI’s arms, Merge Labs aims to accelerate BCI development. The renewed rivalry signals high stakes in the neurotech race. Altman’s entry underscores growing mainstream interest in direct human-AI interfacing.

6. 🌐 NTT DATA, Google Cloud Partner to Scale Agentic AI Globally 

NTT DATA and Google Cloud joined forces today to advance enterprise-grade agentic AI solutions. The collaboration will deliver industry-specific AI agents, cloud modernization, and sovereign cloud environments across sectors like finance and healthcare. The joint effort includes co-investment and formation of a global “Google Cloud Business Group.” It aims to accelerate enterprise AI rollout at scale.

7. 🛡 Trend Micro Alerts: Tens of Thousands of AI Servers Are Exposed 

Trend Micro’s latest report warns of major security risks as over 10,000 AI servers (including ChromaDB, Redis, and Ollama instances) are exposed online without protection. Misconfiguration, outdated libraries, and hurried deployments are creating vulnerabilities ripe for exploitation. The study urges AI engineers to adopt best practices for secure AI infrastructure. The findings spotlight the urgent need for improved deployment standards.

8. 💼 New Axios Feature Targets AI’s Role in Cybersecurity Warfare 

An Axios newsletter explores whether the AI arms race favors hackers or defenders—and finds the debate intensifying. AI tools like malware detectors and “digital twin” models bolster cyber defense, yet attackers are also adapting generative AI for reconnaissance and exploit development. The conversation highlights high-stakes risk as security systems evolve alongside adversarial capabilities.

9. 🔋 AI Infrastructure’s Energy Demand Projected to Soar by 2030 

A new study estimates AI model training power usage could rise to 4–16 gigawatts by 2030, up from today’s few gigawatts. One growing model could consume up to 1% of total U.S. electricity. These projections raise alarms about AI’s ecological footprint. They underscore the urgent need for sustainable, energy-efficient AI computing solutions.

10. 🏫 Miami-Dade Schools Prepare Official AI Guidelines for Educators 

Miami-Dade County Public Schools began drafting AI usage policies—an official shift from prior restrictions on tools like ChatGPT. Staff are considering how to integrate platforms like Google’s Gemini while safeguarding learning integrity. Formal policies will be presented to the board by October. The change signals growing acceptance of AI as an educational tool rather than just a risk.

11. 😭 AI Talent Race Heats Up in China’s Autumn Hiring Push 

Chinese tech giants like ByteDance and Alibaba ramped up AI-related job openings for autumn—offering thousands of positions focused on AI R&D, product, and data science. Talent demand is rising faster than universities can supply, with projected shortages exceeding 4 million by 2030. Companies are enhancing perks, performance bonuses—and even housing—to attract top AI graduates.

12. ⚔ Perplexity’s Chrome Bid Dramatically Ups Online Platform Stakes 

Perplexity AI’s $34.5B bid for Google Chromе signals aggressive expansion into core internet platforms amid antitrust scrutiny. Keeping the browser’s source open while preserving Google as default search suggests confidence in cooperative disruption. Industry watchers call it an audacious move that could re-shape AI’s integration with foundational tech infrastructure.

            AI TOOLS

Banana.dev – Deploy AI models to scalable GPU servers instantly without managing infrastructure.

Lightly – AI data curation tool that selects the most valuable samples for training, reducing dataset size while improving accuracy.

H2O Driverless AI – Automated machine learning platform that handles feature engineering, model training, and deployment.

Neptune.ai – Metadata store for tracking ML experiments, hyperparameters, metrics, and model versions.

Gradio – Quickly build and share interactive AI demos via a simple Python interface.

Cog – Tool for packaging ML models into production-ready Docker images with reproducible environments.

OctoML – Automates model optimization for faster inference on various hardware targets.

Comet ChatGPT Plugin – Plugin for monitoring and visualizing ChatGPT experiment data in real time.

SuperAnnotate – AI-assisted annotation platform for labeling images, videos, and text with quality assurance workflows.

Datature – End-to-end no-code computer vision platform for dataset management, labeling, and model 

              Book summary 

📚 Book Summary: The 7 Habits of Highly Effective People 

Author: Stephen R. Covey

🧠 Main Idea: 

Lasting success comes from building character-based habits that align with timeless principles of effectiveness, not just quick-fix tactics.

🔍 The 7 Habits & Their Meanings: 

Be Proactive

Take responsibility for your actions and focus on what you can control.

Begin With the End in Mind

Have a clear vision of your goals and life direction before you act.

Put First Things First

Prioritize important tasks over urgent but unimportant ones.

Think Win-Win

Seek mutually beneficial solutions in relationships.

Seek First to Understand, Then to Be Understood

Listen empathetically before sharing your point of view.

Synergize

Work collaboratively to create results greater than the sum of individual efforts.

Sharpen the Saw

Continuously renew yourself physically, mentally, emotionally, and spiritually.

🧩 Core Lessons: 

True effectiveness comes from character and principle, not shortcuts.

Balancing personal growth with healthy relationships leads to long-term success.

Proactive people create opportunities instead of waiting for them.

✍️ Writing Style: 

Practical, structured, and filled with real-life stories and exercises.

🎯 Who Should Read It: 

Leaders, professionals, students—anyone wanting personal mastery and better relationships.