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Frontline Workers: the next frontier for GenAI?
Apple heats up AI talk with Tencent and ByteDance, Google releases Gemini 2.0 Flash Thinking, ChatGPT desktop gets more integrations, Instagram unveils Generative AI video editing feature and more!
Everyday AI
December 19, 2024
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Today in Everyday AI
6 minute read
🎙 Daily Podcast Episode: One group that might fly under the radar when it comes to benefiting from generative AI? Frontline workers. We break down how AI can make their lives easier. Give it a listen.
🕵️♂️ Fresh Finds: Apple to use NVIDIA GPUs for machine learning, Microsoft tests live translation on Copilot Plus PCs, and Perplexity earns $500 million in latest funding round. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Google releases Gemini 2.0 Flash Thinking, Apple heats up AI talk with Tencent and ByteDance, Instagram unveils Generative AI video editing feature and ChatGPT desktop gets more integrations. For that and more, read on for Byte Sized News.
🚀 AI In 5: Unlock the secrets of creating custom GPTs that will streamline your workflow and save you precious time. See it here
🧠 Learn & Leveraging AI: Wondering how GenAI can benefit frontline workers? We dive into ways they can take advantage of AI. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about Google Gemini Deep Research, ChatGPT launching 1-800-CHATGPT, Microsoft dominates with most NVIDIA AI chip purchases and more. Check it here!
Thoughts on our "Today in Everyday AI" table of contents? |
Frontline Workers: the next frontier for GenAI? 🧑💼️
AI is just for keyboard smashers, right?
Not really.
When it comes to Generative AI, there might be another vertical ripe for disruption: frontline workers.
How can Generative AI make their lives a bit easier?
AI Lagunas, Co-Founder of Levee, joins us to discuss.
Join the conversation and ask Jordan and Al questions on AI here.
Also on the pod today:
• Technology Adoption 🤖
• Use of AR/VR in Employee Training 🧑🏫️
• Automating Tasks with AI 🔁
It’ll be worth your 37 minutes:
Listen on our site:
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Upcoming Everyday AI Livestreams
Friday, December 20th at 7:30 am CST ⬇️
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Polymet is an AI product designer, Magic Inspector is an AI web test automation platform and Nuvio provides AI-powered financial management.
Google – Google's new Gemini guidelines are forcing contractors to rate AI responses outside their expertise.
Apple – Apple is looking to speed up its AI’s machine learning with NVIDIA’s GPUs.
Microsoft – Microsoft is testing live translation on Intel and AMD Copilot Plus PCs.
Perplexity – Perplexity has tripled its valuation in about 6 months with latest $500 million funding round.
AI Models - Tencent's new open source AI video model, HunyuanVideo, is making waves online.
1. Google Unveils Gemini 2.0 Flash Thinking 🧠
Google has launched its highly anticipated Gemini 2.0 Flash Thinking, a multimodal reasoning model that promises enhanced problem-solving capabilities and transparency. With the ability to process significant text inputs and provide step-by-step reasoning, this model aims to demystify AI decision-making, contrasting with the "black box" approach of some competitors.
Early tests showcase its quick and accurate responses to complex problems, suggesting it could redefine how businesses leverage AI for efficiency and innovation.
2. Apple's AI Talks Heat Up with Tencent and ByteDance 🇨🇳
In a bid to enhance its AI offerings in China, Apple is in early discussions with Tencent and ByteDance to integrate their AI models into iPhones, as reported by Reuters. This move comes as Apple faces declining market share in the fiercely competitive Chinese smartphone market, where local brands like Huawei are gaining ground with AI capabilities.
With ChatGPT unavailable in China due to regulatory hurdles, partnering with local tech giants could be key for Apple to regain its footing.
3. Biden Administration Pushes AI Data Center Expansion on Federal Lands 🏭
In a move to keep the U.S. competitive in the global AI race, the Biden administration is drafting an executive order to allow the construction of data centers and natural gas power plants on federal lands. This initiative aims to alleviate energy shortages and supply chain issues that tech leaders warn could stifle industry growth, with the potential for AI companies like OpenAI and Microsoft to build infrastructure independent of strained regional power grids.
Environmental groups are raising alarms, arguing that this could undermine the administration's climate achievements, while the clock ticks down to Biden's term conclusion on January 20. The stakes are high, as data centers could soon consume over 17% of U.S. electricity.
4. EU Copyright Clash: Creatives Push Back on AI Exemption 🇪🇺
In a fierce response to the Labour government's recent proposal for a copyright exemption aimed at facilitating AI training, major creative industry groups have united in opposition, arguing that it undermines existing copyright protections. The Creative Rights in AI Coalition asserts that rights holders should not have to opt out of allowing their works to be used, emphasizing the need for AI developers to seek permission and negotiate licenses instead.
This pushback follows high-profile endorsements from artists like Paul McCartney and Kate Bush, who warn that unchecked AI access to copyrighted material poses a serious threat to creators' livelihoods.
5. Instagram Unveils Generative AI Video Editing Feature 🎥
Instagram has announced plans to roll out a generative AI editing feature powered by Meta’s Movie Gen AI model next year. According to Adam Mosseri, users will be able to transform their videos with simple text prompts, adjusting everything from backgrounds to clothing without needing advanced editing skills.
This innovation comes on the heels of similar offerings from competitors like OpenAI and Adobe, raising expectations for the platform's capabilities. While the early previews look promising, only time will tell if Instagram can deliver on the hype and truly empower creators to elevate their content.
6. Groundbreaking Physics Engine Genesis Unveiled 🦾
A new physics simulation platform called Genesis is making waves in the realms of robotics and AI, promising unprecedented performance and versatility. This innovative tool combines a user-friendly robotics simulation environment with a generative data engine capable of creating everything from realistic videos to robotic manipulation policies.
With its open-source launch, Genesis invites developers and researchers to harness its power, potentially revolutionizing how we approach AI training and data generation.
7. OpenAI Expands ChatGPT Desktop Integrations 🧑💻️
OpenAI has unveiled exciting updates for its ChatGPT desktop app, allowing it to integrate with a host of new applications, including popular IDEs and productivity tools like Apple Notes and Notion. These enhancements enable users to access Advanced Voice Mode across various platforms, streamlining coding and project management tasks.
As OpenAI moves towards a more agentic experience, the desktop app aims to automate workflows and provide contextual assistance directly from the user's screen.
Create custom GPTs that save you time!
GPTs are a great way to save time and automate work!
We’re showing you the secrets of creating custom GPTs that will streamline your workflow and save you precious time.
Check out today's AI in 5.
🦾How You Can Leverage:
Using AI = hands on keyboard, right?
More spreadsheets crunched.
More docs shipped.
More maths mathed.
Hold up shorties. Not so fast.
Think about it — 80% of the world’s workforce falls under the frontline category.
Ya know… the boots-on-the-ground employees who are generally spending more time away from the computer than at one.
Today, Al Lagunas showed us how Generative AI is for them, too.
Al is the Co-Founder of Levee, and he schooled us all on AI’s place on the frontline.
How is frontline work about to change?
Let’s dive in.
1 – The 30-Second AI Inspector 😶🌫️
A first-day housekeeper matched a six-month veteran’s performance before lunch. Not through traditional training. Through AI.
Levee's vision-powered app turns a 30-second room video into a real-time inspection tool. Two water bottles. Specific spots. Brand standards verified instantly.
That lavender perfume bottle behind the outlet? The AI catches it when it's misplaced. Every. Single. Time.
The result? A process that typically takes two weeks of training now takes four rooms. Not four days. Four rooms.
The real kicker isn't the speed. It's the precision. Every brand standard. Every room detail. Every time.
The old way: Wait for a human inspector. Hope they're available. Delay guest check-in. 3 pm if you’re lucky.
The new way: Room cleaned at 10:00. Inspected by 10:01. Guest checking in at 10:02.
Try This:
Film your most experienced worker performing your highest-value task. The one that takes months to master.
Break it into micro-steps. The exact hand movements. The precise tool positions. The specific sequences.
Create an AI inspection checklist that makes expertise scalable. Not through manuals. Through vision.
Test a new hire against this baseline. Track time-to-proficiency against your current standard. Measure error reduction rates.
2 – The Human Side of AI That Silicon Valley Missed 🎯
Al showed us something profound: Frontline workers don't just fear AI replacing them. They also fear getting yelled at for missing a towel.
Think about that for a second.
The first reaction to Levee's AI tool wasn't resistance. It was relief. "Does this mean I won't get yelled at anymore?"
This flips the entire AI narrative on its head.
The real story isn't about robots taking jobs. It's about AI becoming the buffer between human dignity and operational demands.
Al revealed how his initial smart glasses concept crashed into reality. Workers would quit before wearing surveillance tech.
But give them a simple phone app that helps them excel at their job? Adoption rates soar.
That's the key insight everyone missed: AI tools for frontline workers need to solve human problems first, data problems second.
When a housekeeper can verify their own work, they gain autonomy. When they master new skills in hours instead of weeks, they gain confidence. Then, everyone wins.
Try This:
Audit your correction protocols. Count every instance where a worker faces direct criticism for a task done wrong.
Convert these friction points into AI-assisted self-verification opportunities. Think simple. Think mobile.
Measure what matters: Time saved, yes. But also track confidence levels, voluntary overtime requests, and retention rates.
Your AI strategy isn't just about efficiency. It's about empowerment.
3 – Why Your AI Revolution Starts at the Front Line 🧍
Al shattered a massive misconception: The harder a task seems to us, the easier it might be for AI. And vice versa.
The mindless tasks, as Al explained, are paradoxically the hardest to automate. That's why we need a completely different approach.
Instead of trying to replace frontline workers with robots, Al showed us how to augment their existing workflows with AI that actually makes sense.
His team discovered this by accident.
Those room inspections weren't just verifying tasks – they were building the first-ever digital map of frontline work patterns.
The implications are staggering.
Every hotel room cleaned, every package delivered, every product assembled contains data we've never captured before.
Al demonstrated how this plays out in real time. His system spotted water bottle inventory issues before the hotel's own systems. Not through complex supply chain analytics. Through simple pattern recognition in daily work.
This is the future of frontline AI: More revelation than replacement.
Try This:
Choose your most "mindless" task. The one everyone knows how to do but no one can explain.
Document it through your workers' eyes. Not with manuals. With phone cameras and AI vision.
Look for patterns in the mundane. Those water bottles weren't just inventory. They were early warning signals hiding in plain sight.
Build feedback loops that make invisible expertise visible. Let the AI learn from your best performers.
The next wave of AI innovation won't come from coding bootcamps. It'll come from break rooms and loading docks.
Why? Because that's where the real work happens. That's where AI has the most to learn. And that's where your competitive advantage is hiding.
⌚
Numbers to watch
10 Million
BlueQubit has raised $10M to take Quantum software into real-world applications.
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