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The AI talent crisis
Smarter robots, dumber humans?
Welcome back! Is AI about to take over your YouTube comments? YouTube is testing a new feature that uses AI to suggest replies for creators. This experiment gives creators editable, AI-generated responses in their own style, helping them stay engaged with their audience while saving time. The feature is still in the testing phase but shows the growing influence of AI on content creation.
How do you feel about AI taking a more active role in shaping online conversations?
Mistral’s Edge Models Bring Generative AI to Laptops and Phones
Mistral team in Paris
French AI startup Mistral just released its first set of generative AI models, named Les Ministraux. These models are tailored for laptops, phones, and other edge devices. With growing concerns over cloud-based AI and data privacy, Mistral is angling for smaller, more efficient models that run directly on devices.
AI on the edge: Running AI models on devices ensures faster processing with reduced reliance on cloud servers, offering users privacy. This opens doors for tasks like on-device translation, autonomous robotics, and local analytics without sending sensitive data to the cloud.
Smaller, faster, smarter: Mistral’s models can handle tasks that require the equivalent of processing a 50-page book in one go. These models are quicker and cheaper to train and deploy than their larger counterparts.
Privacy-first AI: Ensures data security with local device processing.
Low-latency processing: Instant results without relying on the cloud.
Wide applications: From smart assistants to autonomous robotics.
What’s next? Tech giants like Google and Microsoft have already jumped on this bandwagon with their smaller models. With the edge becoming more relevant, expect a boom in mobile AI applications that prioritize speed, privacy, and efficiency.
The big picture: Industries like retail, financial services, and autonomous vehicles could benefit greatly from faster, localized AI. Imagine an autonomous vehicle that needs to process road conditions instantly—using edge AI, it can make split-second decisions without relying on the cloud. Mistral’s models are leading the charge toward a future where AI runs efficiently on the very devices we use daily.
Why the Chip Industry Can’t Find Enough Talent
Hardinge
The semiconductor industry is on track to hit $1 trillion globally in revenue by 2030, but a talent crisis threatens this growth. With the rise of Generative AI, the demand for skilled workers is at an all-time high. The problem? The industry’s workforce is shrinking, aging, and lacking the necessary expertise to keep up with these advances. Without addressing this, the industry's ambitions could stall.
An aging workforce: More than half of the U.S. semiconductor workforce is over age 45, and with fewer younger workers entering the field, the talent pipeline is drying up.
GenAI demands talent: The rise of Generative AI has made it essential to develop new talent skilled in AI technologies.
A race against the clock: Without the right workforce, innovations like chip design, AI training, and manufacturing advancements will slow down, leaving the industry struggling to meet global demands.
Case in point: 67,000 jobs in the U.S. semiconductor industry may go unfilled by 2030.
The big picture: GenAI may be the future of tech, but it still needs a skilled workforce to push it forward. Without addressing the talent shortage, the chip industry could fall behind on both technological advancements and revenue goals.
The Secret to Making Your Next Hit Video
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Brainstorming viral-worthy video ideas
Creating attention-grabbing titles
Designing thumbnails that drive higher conversions
Curious to see how it works?
Boston Dynamics and Toyota Push AI Boundaries with Atlas
Boston Dynamics’ fully electric Atlas robot
Boston Dynamics and Toyota Research Institute have partnered to bring AI-driven intelligence to Boston Dynamics' electric Atlas humanoid robot. This alliance marks a key step in building humanoid robots capable of learning and executing complex human tasks.
AI meets robotics: Toyota brings to the table its work on large behavior models (LBMs), which are designed similarly to large language models like ChatGPT. Boston Dynamics, known for its cutting-edge robotic hardware, is combining its expertise with Toyota’s AI capabilities to advance the Atlas humanoid’s intelligence and autonomy.
Building general-purpose robots: This partnership aims to develop humanoids that not only perform specific tasks but can learn and adapt in real-time.
Imagine: A robot that can help in the kitchen one day and assist with construction the next — that’s the goal.
What it means for robotics: Boston Dynamics and Toyota’s collaboration is a leap toward making humanoid robots practical for everyday use. It’s an exciting time for robotics as we edge closer to the sci-fi future we’ve all imagined.
Meta debuts CoTracker3, pushing AI-driven precision in point tracking
Lenovo introduces foldable smart assistant with AI and expressive display collaboration
Suno rolls out ‘Scenes’ to transform your photos and videos into music on mobile
Ex-OpenAI CTO secures funding for new venture, hires former team members
Amazon Ads launches new AI tools to supercharge ad creativity
Adobe’s latest project brings AI-generated sound effects to video creators
Your weekly AI roundup: Join me as I break down everything you need to know this week in the world of AI.
Are you ready to become a superhuman? Watch as we show you how to revolutionize your relationship with technology.
That’s a wrap! AI is about to start writing YouTube replies—what’s next, our DMs? As tech keeps sneaking into every part of our lives, the real question is: How long until AI writes your breakup text? Hit reply and let me know what you think!
—Matt (FutureTools.io)
P.S. This newsletter is 100% written by a human. Okay, maybe 96%.