Hello, AI Enthusiasts.
After the first workday of September, post-Labor Day, we’ve got some intriguing AI content to help you wind down.
Ever wondered why so many AI projects fall short of their promises? Some experts are sharing their insights on what might be missing. Plus, get the latest on Canva’s price increase and check out a new book that tackles AI hype and how to sidestep it.
Settle in and enjoy your evening read!
Here's another crazy day in AI:
Engineered Intelligence: the missing link in AI's success story
Canva’s AI rollout drives major price hike
A new book exposes AI hype and how to avoid it
Some AI tools to try out
TODAY'S FEATURED ITEM: The missing piece in AI implementation
Image Credit: Wowza (made with Ideogram 2.0)
Ever wondered why brilliant AI ideas often struggle to make it in the real world?
AI experts Brian Evergreen and Kence Anderson, might have cracked the code.
In their recent article on VentureBeat, they introduce a fresh perspective on why so many AI projects fail to deliver. They argue that AI has been missing a critical component: a dedicated discipline for applying AI research to real-world challenges, much like how other scientific breakthroughs are handed off to engineers for practical use. This new field, which they call "engineered intelligence," aims to fill that gap by blending scientific advancements with engineering principles to create tangible value.
Here's what stood out:
AI Winter Warning: There's a growing concern that AI isn't delivering the returns many hoped for. We could be heading for another "AI winter" unless something changes.
The Engineer-Shaped Hole: Unlike other scientific fields, AI lacks a clear path from research to real-world application. This gap might explain why a whopping 87% of AI projects aren't meeting expectations.
Enter "Engineered Intelligence": This new approach aims to bridge the gap between AI theory and practice. It's about creating real-world solutions without relying solely on data scientists.
A Practical Roadmap: The authors outline a five-step process to bring engineered intelligence into organizations. It starts with identifying valuable areas of expertise rather than just looking at available data.
AI's Next Chapter: By adopting this engineering-focused approach, companies might finally unlock AI's true potential. There's also hope that this could create new jobs and economic opportunities as the field grows.
What's compelling about this perspective is how it grounds AI in practical, real-world needs. Instead of chasing the next big AI breakthrough, it focuses on making the most of existing technology and scaling human expertise through intelligent systems.
While it's too soon to say if engineered intelligence is the silver bullet for AI's challenges, it's certainly a fresh take worth considering.
In a field that's often dominated by hype and grand promises, this grounded, expertise-focused approach feels like a breath of fresh air. It'll be interesting to see how these ideas evolve and potentially reshape the AI landscape in the coming years.
Read the full article here.
OTHER INTERESTING AI HIGHLIGHTS:
Canva’s AI rollout drives major price hike
/Jess Weatherbed, News Writer, The Verge
Canva is raising subscription prices for some users by over 300% due to the introduction of new AI features. The price increase primarily affects Canva Teams subscribers, with some users in the U.S. seeing costs rise from $120 to $500 per year, though a temporary discount reduces it to $300. These changes have sparked backlash among customers, who are considering alternatives like Adobe. Canva justifies the hike by pointing to the enhanced value of its AI tools, which have expanded the platform's offerings.
Read more here.
A new book exposes AI hype and how to avoid it
/Elizabeth Quill, Executive Editor, Science News
Arvind Narayanan and Sayash Kapoor’s book AI Snake Oil critiques the overhyped claims of AI, highlighting its limitations and potential harms. They explore AI tools that claim to predict future events, arguing that most fail to deliver on their promises. The book also delves into the ethical issues surrounding AI, including privacy, misinformation, and social inequities. The authors stress that society must scrutinize and regulate AI more effectively, focusing on how people use it rather than fearing the technology itself.
Read more here.
SOME AI TOOLS TO TRY OUT:
Collato - instantly turn meetings into documents with customizable templates
ClickUp Brain - connects tasks, docs, and team knowledge with AI
Jamboss - create personalized songs for friends and family using AI
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.
