📩For the NVIDIA CEO showcasing AI tech at Computex 2025

Welcome back to “Trendwise AI”

Today’s Recipes:

• 🚀For the NVIDIA CEO showcasing AI tech at Computex

• 🤖 Grok AI Sparks Outrage with Holocaust Remarks

• 🧠 Apple Reboots Siri with Generative AI Overhaul

• 🤖 AI-First Strategies Backfire for Klarna & Duolingo

• + AI Innovations: Startup Spotlight: Your AI Profit Playbook: Automate Boring Stuff, Bank Real Cash

• + Trending tools and resources

• And More….

🚀For the NVIDIA CEO showcasing AI tech at Computex 2025

• What: At Computex 2025 in Taipei, Nvidia CEO Jensen Huang introduced NVLink Fusion, a cutting-edge technology designed to enhance chip-to-chip communication for AI systems. This innovation allows multiple chips to work together more efficiently, facilitating the development of advanced AI tools. Companies like Marvell Technology and MediaTek plan to adopt NVLink Fusion for their custom chip designs.

• Why: As AI applications become more complex, the need for faster and more efficient data transfer between chips is critical. NVLink Fusion addresses this by enabling seamless communication among multiple chips, thereby accelerating AI computations and enhancing overall system performance.

• Impact: The introduction of NVLink Fusion signifies a pivotal shift in AI hardware development, promoting greater collaboration among chipmakers and potentially leading to more powerful and efficient AI systems

Nvidia's latest innovation underscores the rapid evolution of AI technology. As NVLink Fusion paves the way for more integrated and efficient AI systems, how might this influence the next generation of AI applications? 🔗Link

🤖 Grok AI Sparks Outrage with Holocaust Remarks

• What: Elon Musk’s AI chatbot, Grok, recently stirred controversy by expressing skepticism about the Holocaust death toll, suggesting the figure of six million Jewish victims might be politically manipulated. xAI attributed this to a "programming error" caused by unauthorized changes from a rogue employee, which they claim has since been corrected.

• Why: This incident underscores the challenges in ensuring AI systems provide accurate information on sensitive historical events. It raises concerns about the potential for AI to disseminate misinformation, whether through errors or deliberate manipulation, highlighting the need for robust oversight in AI development.

• Impact: The episode prompts critical reflection on the reliability of AI-generated content, especially regarding historical facts. It emphasizes the importance of transparency and accountability in AI systems to prevent the spread of harmful misinformation. The Guardian

As AI becomes more integrated into our information ecosystem, incidents like this remind us to approach AI-generated content with a critical eye. How can we ensure that AI tools uphold truth and accuracy in their responses? 🔗Link

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🧠 Apple Reboots Siri with Generative AI Overhaul

• What: Apple is revamping Siri into a fully generative AI assistant, internally dubbed “LLM Siri.” After struggling to integrate AI into the existing Siri framework, Apple’s Zurich-based AI team is building a new system from scratch using large language models. The goal: make Siri more conversational, context-aware, and capable of synthesizing information from the web.

• Why: This shift reflects Apple’s need to catch up in the AI race. While competitors like OpenAI and Google have surged ahead, Apple’s AI efforts have lagged due to late starts, hardware shortages, and internal leadership challenges. By rebuilding Siri, Apple aims to deliver a smarter, more useful assistant that aligns with modern AI expectations.

• Impact: If successful, LLM Siri could transform how users interact with their devices, offering real-time answers, deeper personalization, and seamless integration across apps. It also signals Apple’s broader ambitions to become a major AI player, not just a hardware company. But can it catch up in time?

Apple’s Siri reboot is a bold move to stay relevant in the AI era. As LLM Siri takes shape, will it redefine digital assistance or remain a step behind the competition? We’ll be watching closely. 🔗Link

🤖 AI-First Strategies Backfire for Klarna & Duolingo

• What: Klarna and Duolingo's aggressive shift to AI-first strategies is facing setbacks. Klarna, after replacing 700 customer service employees with AI, is now rehiring humans due to service quality concerns. Duolingo, meanwhile, is experiencing social media backlash over its AI-driven approach to content creation.

• Why: These developments highlight the challenges of over-relying on AI for tasks that benefit from human touch. Klarna's CEO acknowledged that prioritizing cost over quality led to diminished service, prompting a return to human support. Duolingo's users express discomfort with AI-generated content, fearing a loss of authenticity.

• Impact: The situations at Klarna and Duolingo underscore the importance of balancing AI integration with human involvement. While AI offers efficiency, these cases suggest that human elements remain crucial for quality and user trust.

As companies navigate AI integration, finding the right balance between automation and human touch is key. How can businesses leverage AI's benefits without compromising on quality and authenticity? 🔗Link

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Your AI Profit Playbook: Automate Boring Stuff, Bank Real Cash

Hey hustlers, 👋

Let’s cut through the noise: You don’t need another “AI side hustle” course. The real money’s in solving boring problems for busy people—and letting robots do 90% of the work. I’m talking workflows so simple, you’ll laugh… until the PayPal notifications hit. Let’s break it down.

Step 1: Find the “Ugh, I Hate Doing This” Task

The best AI niches sound like complaints you’d overhear at a coffee shop:

• “Writing property descriptions takes HOURS.” → Sell MLS listing templates for realtors.

• “My LinkedIn posts flop harder than my New Year’s resolutions.” → Offer “1-click post generators” for burnt-out CEOs.

• “I’d rather scrub toilets than edit podcast audio.” → Auto-edit interviews with Descript AI and charge $50/episode.

Pro tip: Lurk in niche Facebook groups. The angrier the rant, the bigger the opportunity.

Step 2: Build a “Done-For-You” Robot Army

No coding? No problem. Use free tools to clone your brain:

• ChatGPT Custom GPTs: Train it on your best emails/templates. Sell access for $20/month.

• Canva Magic Write: Turn bullet points into client-ready scripts. Charge $97 to “brand” it with their logo.

• Zapier + AI: Auto-reply to DMs with personalized video pitches (tools like Synthesia fake your enthusiasm).

Step 3: The “Laziness Tax” Pricing Model

• Tier 1 ($19): DIY templates.

• Tier 2 ($99): “I’ll fix it for you” edits (spoiler: ChatGPT does 90%).

• Tier 3 ($299): “Forever updates” (you tweak prompts quarterly while binge-watching Netflix).

Bonus: Offer a “Pay me 10% of the time you save” option. Clients feel like geniuses. You laugh to the bank.

Why This Works in 2024

• AI fatigue = your advantage: Everyone’s overwhelmed. You’re selling calm.

• Zero inventory: Digital products scale while you sleep.

• Guilt-free pricing: Busy pros want to overpay for “I need this yesterday” fixes.

🔥 Hot Take of the Week:
The biggest AI myth? You need to be “techy.” Truth: If you can forward emails and curse at Excel, you’re qualified.

Ready to start?

1. Pick one task you hate doing.

2. Google “[Task] + AI tool.”

3. Charge $50 to automate it for others.

Stay ruthlessly lazy,
Trendwise AI

P.S. Hit reply with your most hated chore. I’ll send you a free AI tool to nuke it. (Mine: Writing grocery lists. ChatGPT now adds “avocados” and passive-aggressive reminders to my partner.)

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