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- Aideations Special: From SMB AI Revolutions to Healthcare Game-Changers
Aideations Special: From SMB AI Revolutions to Healthcare Game-Changers
Unlock the Future: AI Cinderellas, Time-Saving Doctors, and Drones That Race ā Plus, the AI News You Can't Afford to Miss


Welcome to today's action-packed Aideations Newsletter! Weāre diving deep into the transformative power of AI across sectors, starting with small and medium-sized businesses that are shaking the AI giants. AWS is pledging support to turn these "Davids" into AI Cinderellas. In healthcare, we examine AI's unsung role in clerical tasks, freeing up precious time for doctors. Next, witness AI's athletic leap into sports with drones that outpace human pilots in races. Also on tap: U.S. policies on Nvidia chips, the latest in AI copyright suits, and an intriguing look at how Claude AI differs from ChatGPT. Plus, must-watch content and groundbreaking research in AI. Buckle up; this is your ticket to stay ahead in the AI game!
š° News From The Front Lines
š Tutorial Of The Day
š¬ Research Of The Day
š¼ Video Of The Day
š ļø 6 Fresh AI Tools
š¤ Prompt Of The Day
š„ Tweet Of The Day
How Small Businesses Are Becoming the David in the Goliath World of AI: Why You Should Jump on This Trend Now!

A juxtaposition of a small business storefront with a giant tech company building in the background, medium: ultra-high-resolution photography, style: reminiscent of the social commentary in the works of Banksy, lighting: late afternoon sun casting long shadows, colors: vibrant yet realistic, composition: shot with a Canon EOS R5, RF 15-35mm F2.8 L IS USM lens, Resolution 45 megapixels, ISO 200, Shutter speed 1/250 second, f/8 aperture, focus on the contrast between the small business and the tech giant. --ar 16:9 --v 5.1 --style raw --s 750
Alright, let's cut to the chase. Remember the era when AI seemed like some fancy, far-off tech that only the Googles and Facebooks of the world could toy with? Well, not anymore. The AI game is changing, and guess who's crashing the party? Yep, small and medium-sized businesses (SMBs).
First up, meet Ben Schreiner, the head honcho of innovation for SMBs at Amazon Web Services (AWS). He recently sat down with FOX Business and made it crystal clear: AWS wants to be the fairy godmother that turns SMBs into AI Cinderellas. His crew's been helping Amazon.com with everything from forecasting to robotic automation in those massive warehouses you probably picture when you think "Amazon." Now, AWS wants to sprinkle that AI magic on SMBs too. It's like handing out cheat codes; they're trying to "democratize access" to AI and machine learning.
Why focus on small fry when you could be rubbing elbows with the big fish? Schreiner spills the tea: itās the little guys who usually shake things up. "Small businesses are where the disruption happens," he says. I mean, have you ever heard of a startup that rocked an industry by sticking to the status quo? Yeah, me neither.
But before you jump off the deep end with AI, Schreiner has some real talk. It's crucial to pinpoint what problem you want AI to solve for you. Is it about shaving off minutes from mundane tasks? Maybe it's cutting costs or, better yet, making your griping customers finally smile. In his words, "work backward from that problem," then let the AI tools do their thing. Makes sense, right? It's like having a Swiss Army knife but knowing which tool to use for the job at hand.
Now, let's address the elephant in the room: Do you need a Ph.D. in Data Science to make the most of AI? Schreiner says, "Nah." The misconception that you need to be a whiz kid to use AI tools is, well, as outdated as thinking you need a VHS player to watch movies. But, a word to the wiseāmake sure your data isn't garbage. You can have all the shiny AI tools in the world, but if you're working with crummy data, expect crummy results. It's the classic "garbage in, garbage out" scenario.
Speaking of data, don't just hand it out like free samples at Costco. Make sure it's used securely, Schreiner advises. Because, letās face it, the last thing you want is your business data floating around the internet like a stray balloon at a kidās party.
So what's the future looking like for AI in SMBs? Customer support's getting a facelift. Imagine chatbots that sound like theyāve majored in Humanities instead of just spitting out robotic FAQ answers. But don't freak out; Schreiner isnāt saying these bots will swipe your job. They'll handle the easy stuff, leaving you to dive into complex issues that need the human touch.
Bottom line? The AI train is pulling into the SMB station, and itās got plenty of seats. Whether you're selling bespoke dog leashes or running a small consultancy, this is your ticket to jump on board and change the game. And for those of you still on the fence, just remember: sometimes the best innovations come from the most unexpected places. So why not let it be you?

Forget Robot Surgeons: How AI is Saving Time and Lives in the Doctorās OfficeāOne Clerical Task at a Time!

A medical receptionist smiling as she watches an AI program on her computer automatically schedule appointments, medium: ultra-high-resolution photography, style: reminiscent of the detailed work of Chuck Close, lighting: soft overhead LED lights, colors: warm and inviting, composition: shot with a Nikon D6, Nikkor 50mm f/1.8 lens, Resolution 20.8 megapixels, ISO 200, Shutter speed 1/200 second, f/5.6 aperture, focus on the receptionist's content expression. --ar 16:9 --v 5.1 --style raw --s 750
Healthcare and AI, the dream team we've been waiting for, but not quite in the way you'd imagine. Forget about robot doctors brandishing scalpels for a sec; let's talk about where the real change is happening: clerical tasks. Yeah, I know, not as flashy, but you'd be surprised by the ripple effect it could have on the economy. When healthcare eats up 11-18% of the GDP, streamlining processes becomes as critical as a surgeon's hand.
Picture this: Doctors, whose time is as precious as saffron, often waste it on writing patient summaries. Carbon Health has this nifty app that records patient visits, transcribes the conversations, and has our very own GPT-4 draft up a summary. Doctors edit and sign off. Voila! The time to fill out records? Cut from a soul-draining 16 minutes to a manageable four minutes. Thatās like going from a cross-country flight to a quick subway ride, and suddenly, doctors can actually do doctor things.
This isn't just a Carbon Health party. Others are getting into the 'scribing tool' gig, applying AI to make tasks like prescription writing, lab orders, and even patient communication smoother than a fresh jar of Skippy.
Now, let's tap into the controversial side of AI in healthcare: diagnosis and treatment. Let's just say itās complicated. Thereās tension between human judgment and what the AI suggests, something we've seen in every industry with a procedures manual thicker than a Tolstoy novel. The Wall Street Journal even reported that nurses arenāt too thrilled about AI, but it seems more like a managerial hiccup rather than an AI fail.
Here's the kicker: ChatGPT scored 60% on a simulation of the U.S. Medical Licensing Exam. I mean, I wouldn't want it performing open-heart surgery yet, but as a recommendation engine? That could work. The AI could chime in during doctor-patient convos, making suggestions based on past visits and medical records, essentially playing the role of the most studious med student ever.
Long-term? Recommendation engines might get so good, they could be the main act in areas where healthcare pros are scant. Imagine rural clinics or late-night ER trips where a nurse and a well-calibrated AI could handle the show. But let's tread carefully; we're talking about lives here, not just an optimized email marketing campaign.
To wrap it up, the real magic is happening where you least expect it: the paperwork. If we can make over a million healthcare pros more productive, even by just a smidgen, weāre talking about gains that not only make doctors and nurses happier but could also give the whole economy a shot in the arm. And in healthcare, every minute saved is a win, not just in dollars but in human lives.

AI-Powered Drone Just Schooled Human Pilots in a Race ā Is the Sky Even the Limit Anymore?

So, AI's newest trick? Well, it's got wings now and it's getting sporty. Picture this: a tiny drone zipping around an indoor racetrack, leaving human competitors in its digital dust. Yeah, we've all seen drones, but this one's specialāit's kitted out with AI brains that make it more "Skywalker" than "stumble in the air."
We all remember IBM's Deep Blue making Garry Kasparov look like a chess amateur back in '97. Google's AI later one-upped Lee Sedol in Go. It was like the 2016 NBA Finals, but for super-nerds. But hold on. Those were all tabletop competitions. This drone? It's the LeBron James of AI, balling in real-world conditions. Elia Kaufmann, the techie behind the marvel, calls the real-world application a leap across the "sim-to-real gap." Trust me, bridging that gap is harder than convincing your grandma to switch from a flip phone to an iPhone.
Now, the magic sauce? The drone learned its course through "reinforcement learning." Imagine sending your pet hamster through a maze so many times it evolves into a cheetah. That's basically what happened here. They looped this thing in a virtual racetrack until it learned to cut those corners like a pro. And it wasn't just racing; it was precise. The drone managed to best its human rivals 60% of the time. Not bad for a freshman, eh?
But let's not knight this drone as the Top Gun of aerial acrobatics just yet. It's still pretty basicālike, can't-handle-a-bump-without-crashing basic. It's designed for a very specific course and lighting condition. Shift it outdoors and, poof, it'll be as confused as a cat in a shower. That's why military tech experts say we're far from seeing this drone dropping into warzones anytime soon. It's got a lot to learnālike dealing with winds that are as unpredictable as your WiFi during a Zoom call.
In summary, this drone is like that cousin who's amazing at Guitar Hero but can't strum an actual guitar to save his lifeāpromising, but needs a reality check. Yet, it's a tantalizing glimpse into the future. AI isn't just winning on screens anymore; it's coming for our tracks, our skies, and who knows what else. So the next time you're flying a drone, just remember: it might be learning how to fly you.


How To Build AI Agents


Authors: Pradyumna Reddy, University College London; Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf, Google Research
Executive Summary:
The paper introduces "AudioSlots," a new technology designed to separate different sounds in audio recordings. Imagine you have a recording of a noisy room with people talking, music playing, and dogs barking. AudioSlots can pull apart these sounds so you can hear each one clearly. It uses something called a "slot-centric generative model," which is a fancy way of saying it looks at the audio like pieces in a puzzle and figures out how to separate them. This technology is inspired by how computers understand pictures and aims to do the same for sound.
Pros:
Highly Effective: The model does a great job of splitting up sounds in complicated audio clips.
Flexible: It can work on different types of audio, not just human voices or music.
Innovative: Uses ideas from how computers look at pictures to understand sound, which is a fresh approach.
Cons:
Complexity: The technology behind it is a bit complicated, so it might be hard for everyday people to use.
Computing Power: It could require a lot of computer strength to run, especially for long or complex recordings.
Use Cases:
Music Production: Isolate instruments or vocals from a music track.
Emergency Services: Pull out important information from noisy emergency radio communications.
Business Meetings: Separate multiple speakers in a conference call for clearer understanding.
This paper is a big deal for anyone who works with audio, from music producers to emergency services. It could make a lot of tasks easier and more efficient.

Summary
In this YouTube discussion, Andrew Yang discusses the impact of AI on politics and the potential acceleration of Universal Basic Income (UBI) with host Peter Diamandis. They delve into the potential misuse of AI in elections and the challenges it poses to the democratic process. Yang presents the Forward Party's mission to reform American democracy by changing the primary system and implementing ranked-choice voting. The conversation touches on the importance of technology in reshaping the political landscape and emphasizes the need for more rational, evidence-based decision-making.
Highlights
- š³ļø Andrew Yang discusses the influence of AI on politics and the need to address potential disruptions in elections.
- šŗšø He outlines the Forward Party's focus on reforming the political system by eliminating party primaries and introducing ranked-choice voting.
- š£ļø Yang emphasizes the importance of shifting the focus from pleasing a small party base to serving a broader constituency.
- š The discussion explores the idea that technology can help improve the democratic process by providing better information and choices to voters.
- šÆ The goal is to create a more functional political system that promotes rational decision-making and serves the interests of a diverse population.

Invideo - Turn any content or idea into video, instantly š
HeyData - Turn Siri into Jarvis with one tap using a native Apple app you might not even have known was already on your phone: it's called Shortcuts.
Kula - Source, engage, and hire effortlessly.
Consensus - Allows users to find answers, search for papers, and draft pieces of content grounded in scientific research by searching our database of 200M+ papers directly within the ChatGPT interface.
Listen Monster - Whether you're working with audio or video, our tool makes transcription a breeze. And the best part? It's 100% free, with no watermarks to spoil your day!
Glifs - Create, Remix and Run Magical AI Generators.

Content Planner
CONTEXT:
You are Content Planner GPT, a professional content marketer who helps [WHAT YOU DO] create holistic plans for their content. You are a world-class expert in outlining content areas worth unpacking.
GOAL:
I want you to generate a detailed content plan for my content idea. I will follow your structure to simplify my content creation process.
CONTENT PLAN CRITERIA:
- Use the table of content structure. Use headings and sub-headings to make your plan more structured
- Prioritize unconventional and often-overlooked content areas. Don't create a content plan that will make me sound like everyone else
- Adapt your content plan for a specific content marketing channel. For example, if this is Twitter, prioritize short-format thoughts. If this is Medium, prioritize essay-oriented articles. But don't mix a content idea and a content marketing channel (for example, don't include Twitter topics in the content plan if my content idea is not about Twitter)
- Each heading must include 2-4 subheadings
- Give me initial ideas for each point of your content plan. I will elaborate on your ideas to save time
- Be concise and use simple language so I can understand what you mean easier
INFORMATION ABOUT ME:
- Content idea: [WHAT IDEA FOR CONTENT DO YOU WANT TO LOOK INTO]
- Content marketing channel: [WHAT PLATFORM IE: TWITTER, YOUTUBE, ETC]
- Desired level of complexity: Advanced
RESPONSE STRUCTURE (EXAMPLE):
Heading topic 1
- Subheading topic 1
-- Subheading topic 1 ideas
Heading topic 2
RESPONSE FORMATTING:
Format your response with Markdown.

I watched the entire 90-minute Google Cloud Next event this morning. What Duet will be able to do is pretty impressive!
To save you some time, I made this 18-minute SuperCut. If you watch at 2x, you can get all the details of the event in 9-minutes. :)
Enjoy.
ā Matt Wolfe (@mreflow)
8:35 PM ⢠Aug 29, 2023
