Latest in AI…

Can We Trust AI Yet? Nvidia’s CEO Thinks We’re Not There Yet

The story in simple terms:

AI has come a long way, but according to Nvidia CEO Jensen Huang, we’ve still got a ways to go before we can fully rely on it. Speaking at Hong Kong University of Science & Technology, Huang didn’t mince words: today’s AI doesn’t always deliver trustworthy answers.

Here’s the gist of what he shared:

AI’s trust gap: Right now, we’re stuck second-guessing whether an AI’s response is accurate or just made up (a problem known as “hallucination”). Huang says we’re “several years away” from AI that we can “largely trust.”

The need for more computational power: To close the gap, companies need to keep pushing the limits of computation. Better, faster systems are key to improving AI’s reliability.

Pre-training isn’t enough: Simply feeding AI all the world’s data won’t cut it. Huang likened it to college—it’s an important step, but not the full picture.

The challenge of limited data: With finite resources to train AI, the tech world faces a tough puzzle: how do we improve without endless streams of new data?

Here’s what we think:

AI has shown incredible potential, but it’s a reminder that innovation doesn’t happen overnight.

Huang’s call for patience and smarter systems feels like the right kind of leadership in a field moving faster than most of us can keep up. For now, maybe take your chatbot’s answers with a grain of salt.

When AI Influencers Get It Right and Wrong

The story in simple terms:

Let’s talk about AI on OnlyFans and Fanvue. You’ve got some creators doing it right using tools like Glambase to craft completely original content.

But then there are those crossing the line, swiping real people’s faces or photos without permission. It’s a mix of innovation and controversy, and it’s worth unpacking.

Here’s what’s happening:

• The good side: Tools like Glambase help create unique AI-generated models. These are original and don’t steal anyone’s likeness.

• The bad side: Some accounts use deepfakes or stolen images, blending real faces with AI bodies. This is unethical and exploitative.

• Growing trend: Courses teaching how to monetize AI influencers are selling fast. But creators must ensure they aren’t taking shortcuts at others’ expense.

• Fan reactions: Fans value trust. Discovering stolen content damages their experience and confidence in the creator.

Here’s what I think:

AI offers amazing opportunities for creators to innovate, but only if done right. If you’re using tools like Glambase to craft original models and content, go for it there’s nothing wrong with entertaining people in new, ethical ways. But borrowing someone else’s face or likeness without permission? That’s not just bad practice; it’s a step too far.

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Risks that are coming with AI that we love to use…everyday

The story in simple terms:

AI is like that brilliant but unpredictable friend but you’re excited to have them around, but you also know they can stir up some drama.

As much as AI promises to make our lives easier, it comes with challenges we can’t ignore. So, what are these big questions swirling around AI’s potential and its risks?

Let’s break it down:

• Bias Can Creep In: AI mirrors the data it’s trained on, which can sometimes mean reinforcing unfair biases.

• Privacy Takes a Hit: AI loves data, but collecting it in bulk can make people uneasy. Striking a balance between innovation and respecting privacy is key to keeping public trust intact.

• Black Box Problem: Ever asked, Why did this happen? and got no clear answer? That’s AI sometimes it works, but the "how" is a mystery. Explainable AI is the way forward to ensure accountability.

• Security Woes: AI isn’t invincible. Bad actors can manipulate it for malicious purposes, so tightening up its defenses is non-negotiable.

• Environmental Cost: Training big AI models is energy-intensive. The solution? Making AI greener to cut down its carbon footprint.

• Unequal Access: Not everyone gets to use the magic of AI, which can widen the gap between the haves and have-nots. Equal access needs to be a priority.

Here’s what I think:

AI isn’t going anywhere, so it’s up to us to shape its future responsibly.

From fairness and transparency to sustainability and access, the choices we make now will decide if AI becomes a blessing or a headache. Let’s keep the genie under control while still enjoying the magic.

Tools and resources

⚒️ AI Marketing tools and websites:

1. Zapier: Automate workflows and transform data to streamline repetitive tasks.

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3. Salesforce: Comprehensive CRM platform with AI tools for customer insights.

4. Albert AI: Self-optimizing digital ads platform for performance and audience engagement.

5. Optimove: CRM platform for hyper-segmentation, insights, and campaign performance tracking.

6. Tidio: AI chatbot platform focused on conversions, loyalty, and lead generation.

7. Keyword Insights: SEO assistant blending research, writing, and optimization seamlessly.

8. Jasper: Generative AI for creating consistent, brand-aligned marketing content quickly.

9. Writer: Enterprise copywriting AI for brand voice consistency and grammar checks.

10. Surfer SEO: Content optimization tool for improving search rankings and keyword research.

11. Claude: AI assistant for brainstorming, drafting, and collaborative productivity enhancements.

12. Smartly: Automates social media campaigns with creative and predictive performance insights.

13. SocialPilot: Social media management with scheduling, analytics, and content creation tools.

14. Loomly: Content calendar platform with tools for trending topics and collaboration.

15. Agorapulse: Unified inbox, scheduling, and analytics for social media campaigns.

16. Seventh Sense: Behavior-driven email timing to boost engagement and deliverability.

17. Milled: Search engine for email inspiration, competitor tracking, and optimization.

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