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Why Companies Must Embrace AI to Survive the Talent Crisis
Meta releases smaller Llama 3.2 models, Claude gets new analysis tool, UK investigates Google-Antropic partnership and more!
Everyday AI
October 24, 2024
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āIf you want to understand artificial intelligence, get better at understanding human intelligence,ā says author and professor of psychology Tomas Chamorro-Premuzic.
He joins the Microsoft WorkLab podcast to discuss how AI can help unlock greater human performance.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
Outsmart The Future
Today in Everyday AI
7 minute read
š Daily Podcast Episode: With AI taking the workforce by storm, companies are struggling to keep up with the talent pool. We break down how you can thrive in the talent crisis using AI. Give it a listen.
šµļøāāļø Fresh Finds: OpenAI released paper on consistency models, NVIDIA signs AI chip deals in India and Perplexity now available on MacOS. Read on for Fresh Finds.
š Byte Sized Daily AI News: UK investigates Google-Antropic partnership, Meta releases quantized Llama 3.2 models, Claude adds new analysis/coding tool and Hugging Face releases AI model building tool. For that and more, read on for Byte Sized News.
š AI In 5: Most people misunderstand how ChatGPT and internet access work. Weāre giving you 5 secret steps to access the internet with ChatGPT. See it here
š§ Learn & Leveraging AI: Wondering how you can thrive in the current talent crisis? Weāll break down why AI is your key to obtaining and sustaining talent. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We talked about Apple Intelligence beta being live, Google and Qualcomm partnering for AI-powered cars and Midjourney's web image editing tool. Check it here!
Why Companies Must Embrace AI to Survive the Talent Crisis š„
The talent pool is shrinking, and companies are scrambling to stay ahead.
But while most are hesitant to dive into AI, the real fear should be falling behind those who are.
Want to know how AI can drive the shift youāve been waiting for?
Karrie Sullivan, CEO and Founder of Culminate Strategy Group, joins us to discuss what it takes to not just surviveābut thriveāin the talent crisis.
Join the conversation and ask Jordan questions on AI here.
Also on the pod today:
ā¢ Adoption of AI in the Workplace š¢
ā¢ Generational Workforce Changes š
ā¢ Organizational & Leadership Resilience š
Itāll be worth your 32 minutes:
Listen on our site:
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Friday, October 25th at 7:30 am CST ā¬ļø
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Branding 5 is an AI competitor analysis, SoBrief summarizes books in 40 languages and AnythingLLM is an all-in-one desktop AI app.
OpenAI ā OpenAI has released a paper showing work for improvements on consistency models.
OpenAIās longtime policy researcher, Miles Brundage, has left the company.
At a recent TED AI conference, Noam Brown spoke about OpenAIās o1 model and its ability for āsystem two thinking.ā
NVIDIA ā NVIDIA has signed a slew of AI chip deals in India.
NVIDIA has also partnered with F5 to improve AI efficiency and security in sovereign cloud environments.
AI in Medical ā A new AI tool can predict protein-protein interaction mutations in hundreds of diseases.
AI Models - Perplexity is now available on MacOS.
Perplexity is now on MacOS. Ask anything with ā + ā§ + P.
Download now: pplx.ai/mac
ā Perplexity (@perplexity_ai)
4:10 PM ā¢ Oct 24, 2024
1. U.K.ās CMA Investigates Google-Anthropic Partnership šµ
Britain's competition watchdog has officially launched an investigation into Googleās partnership with AI startup Anthropic, citing potential competition concerns. The Competition and Markets Authority (CMA) believes it has enough information to probe further, following public input on whether this multibillion-dollar deal could stifle innovation in the rapidly growing AI sector.
Anthropic, known for its chatbot Claude and co-founded by former OpenAI staff, insists its independence remains intact as it cooperates with regulators.
2. White House Pushes AI Adoption in National Security Strategy šŗšø
The Biden administration has directed the Pentagon and intelligence agencies to ramp up their use of artificial intelligence, aiming to outpace technological competitors like China. The newly released national security memorandum emphasizes responsible AI deployment while ensuring it aligns with democratic values, addressing concerns over privacy and civil rights.
This strategy could reshape how government agencies operate and innovate, ultimately impacting tech companies and professionals aiming to navigate the evolving landscape of AI in their careers.
3. Meta Llama 3.2 Models Go Mobile š±
In a significant move for mobile AI, the recently open-sourced Meta Llama 3.2 models, including 1B and 3B versions, are now available in quantized formats, promising faster on-device performance and reduced memory usage. These lightweight models cater to developers aiming for efficient applications on resource-constrained devices, achieving up to 4x speed improvements and a striking 56% reduction in model size.
With new techniques like QLoRA and SpinQuant, even grassroots developers can deploy potent AI solutions without hefty compute costs.
4. Google Launches Free SAIF Tool to Assess AI Security Risks š
Google has unveiled its SAIF Risk Assessment tool, designed to help organizations evaluate the risks posed by their AI systems. This free, questionnaire-based tool not only assesses existing security measures but also generates a custom checklist for mitigating identified risks like data poisoning and model tampering.
By leveraging insights from the Secure AI Framework, the tool aims to foster a more secure AI ecosystem across the industry.
5. Anthropic Claude Gets New Analysis Tool š
Anthropic has just rolled out a powerful new analysis tool for its Claude chatbot, allowing it to write and run JavaScript code for precise calculations and data analysis. This feature enables users to upload files like spreadsheets and PDFs, turning Claude into a savvy data analyst that generates interactive visualizations and systematic insights.
With the ability to verify results mathematically, this tool promises a significant boost in accuracy, setting Claude apart in the competitive AI landscape alongside Googleās Gemini and OpenAI's Advanced Data Analysis. As of today, all Claude users can access this feature
6. Hugging Face Launches New Open-Source AI Tool š¤Æ
Hugging Face has unveiled a new open-source software offering called HUGS, aimed at simplifying the creation of chatbots and other AI systems. Partnering with tech giants like Amazon and Google, this service will help companies reduce costs while maintaining control over their dataāan essential factor for sectors like finance and healthcare.
Jeff Boudier, head of product and growth at Hugging Face, emphasized the importance of empowering businesses to build their own technology rather than relying on external black box solutions.
5 secret steps to properly give ChatGPT access to the Internet!
Accessing the internet is CRUCIAL when using ChatGPT.
The thing is, most people think theyāre connected to the web but theyāre not.
Weāre showing you how to properly connect ChatGPT to the internet.
Check out today's AI in 5.
š¦¾How You Can Leverage:
Apparently we just fast-forwarded 10 years into the AI future.
Whether you see it coming or not, thereās a demographic winter coming.
Hereās what that means.
Nearly 11,000 Baby Boomers are retiring each day, and thereās only about 8,000 new Gen Zers entering the workforce.
Thatās roughly a shortage of 500K workers a year.
If that math aināt mathing there, thatās because that math donāt math.
The U.S. is going to be facing a major workforce shortage for decades to come.
So, is it maybe good if AI takes some of those jobs?
And, how can companies start leveraging Generative AI now while those seasoned and experienced Baby Boomers are still on payroll?
Brought to you in part by Karrie Sullivan, the CEO and Founder of Culminate Strategy Group which helps businesses with AI implementation.
Karrie cut through the fluff and gave us all a game plan on how Generative AI can help compensate for the upcoming talent gap about to slap us silly.
Hereās the highlights, use-cases and strategies on how AI can help fight the upcoming talent gap.
1 ā Empower early adapters š”
Got budget approval for ChatGPT/Copilot/Gemini licenses for only a portion of your workforce?
That should be easy to fill.
Karrie said finding your GenAI champions isnāt usually a tall task. Innovators will naturally arise from the pack, and you need to go all-in on their adoption and early success.
Why?
Thatās the carrot youāll be dangling on a stick to get everyone else on board.
Try this:
Aside from empowering your early adapters, you also gotta throw tough challenges their way, Karrie said.
Our take: if you push this first group, youāll be able to solve business challenges and create new lines of revenue you hadnāt yet thought of.
We know successful AI implementation is easier said than done. And even finding and cultivating those early AI champs can have roadblocks.
With a legit library of free resources from the worldās leading experts, weāve covered GenAI implementation in depth.
Hereās some of our faves:
2 ā Win buy-in from a resilient group š„
What about for everyone else?
After all, early adapters only make up about 7% of your workforce.
The second group of āfast followerā adapters might be some of your most ingrained Subject Matter Experts.
They could be hesitant to lean into LLMs, as itās been their own knowledge and expertise thatās helped them rise above their peers.
Karrie said getting this group on board is simple ā donāt focus on low-level productivity or knowledge replacement.
Instead, highlight how AI systems like ChatGPT, Microsoft Copilot or Google Gemini can help elevate your knowledge even more.
Try this:
Hereās our not-so hot take: ignore the buzzwords of 2024 and 2025.
Everyone and their HRās momma is gonna be talking about AI upskilling/reskilling/skillsharing/bla bla.
We were the legit first to talk about the concept of unlearning.
And unlearning can be hard AF for that SME group that has made a killing professionally onā¦. Learning.
We went pretty deep on the topic Karrie mentioned of turning LLMs into more of a thought-partner.
3 ā FOMO will create ROI š°
Oh, that annoying lil elephant in the room.
Return on Investment.
(TBH, we kinda laugh internally when orgs legitimately worry about ROI on GenAI. Even for F500 companies we work with that would have to invest millions to give their workforce GenAI licenses.)
This is where Karrie said you gotta bust out the carrot/stick from success in the first two groups.
Success sells.
FOMO sells.
Try this:
Karrie said that about 70% of employees might be slow to adopt or just might not get on board with AI use. (For many reasons.)
The fix?
Change management. Leadership needs to embrace that AI-first or AI-native workflows are the new way to work.
By highlighting your early adaptersā success and setting that as the future bar for work, it psychologically sets the tone for slow adopters.
Your early adapters set the bar. Everyone else has gotta clear it.
Aside from todayās episode, hereās another great resource. CIO takes a deep dive on how to get hesitant workforces on board with GenAI.
ā
Numbers to watch
21%
According to a new report, only 21% of workplaces in the U.S. have AI policies in place.
Now This ā¦
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