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Corporate America's Rude AI Awakening: The Insider's Guide CEOs Need Now
How open source dominates AI, white-collar jobs face disruption, AI battles scammers, M&A goes sci-fi, and more key trends.


Today's Aideations newsletter highlights pivotal AI developments, from corporate America's lagging AI adoption to open source's quiet rise in AI. Learn how CEOs risk falling behind on AI while smaller firms sprint ahead. See how open source tools secretly power modern AI, though big tech still dominates.
Discover why knowledge workers now face more AI disruption than blue-collar roles. Get the lowdown on using AI defenses to combat scammer AI. Find out how AI is transforming M&A deals through data insights. Consider balancing human interaction with AI tools for better branding. Check out YouTube's new AI creator features. Read up on deepfake fury among parents.
See Microsoft's latest AI-enhanced Windows. Weigh AI's potential in labor disputes. Consider robot diplomacy for world peace. Check out self-aligning LLMs without finetuning. Explore tools like Baron, WisperSEO, Docera, GiveFlag, Visualizee, and Genmo.
The Unfiltered Guide to Navigating the $200 Billion AI Revolution
How Open Source is Secretly Dominating the AI Game
Why White-Collar Workers Should Be the Ones Sweating
How AI is Your New Cybersecurity BFF
đ° News From The Front Lines
đ Tutorial Of The Day
đŹ Research Of The Day
đź Video Of The Day
đ ď¸ 6 Fresh AI Tools
đ¤ Prompt Of The Day
đĽ Tweet Of The Day
From Clueless CEOs to AI Superstars: The Unfiltered Guide to Navigating the $200 Billion AI Revolution Corporate America Didn't See Coming

a clueless ceo --ar 16:9 --v 5.2
So, corporate America has finally caught the AI bug. It's like realizing you've been doing long division by hand when calculators have been around since the '70s. Case in point: a Fortune 500 software company buddied up its customer service agents with a generative AI tool and saw a whopping 14% increase in productivity. But get this, they also saw customer loyalty scores go through the roof. Stanford and MIT researchers even joined the choir, saying AI could be your next best HR solution, improving everything from customer sentiment to employee retention.
If you're not already jumping on this train, you're waiting at the wrong station. Travelers Companies, the insurance bigwig, announced they're doubling down on AI investment. The CEO didn't mince words, calling the opportunity "profound." Cue the dramatic music.
Now, while Goldman Sachs predicts global AI investments could hit $200 billion by 2025, there's a huge BUT. Corporations are acting like kids in a candy store without knowing what the candies even are. People, listen up! Before you say "Alexa, implement AI into my business," understand what you're getting into. You'd think this would be obvious, but apparently, many leaders are scratching their heads, asking, "Is AI like glutenâshould I avoid it or embrace it?" Let's get real, folks. This isn't a fad diet; it's a technological revolution.
So for all you CEOs and execs, here's a quick cheat sheet:
Workflow Disruption: Before you start reorganizing your entire company around AI, make sure you have the data to back up those decisions. McKinsey reports that AI could potentially eat up to 29.5% of work hours. Yeah, it's not just eating jobs; it's taking a whole buffet.
Cultural Readiness: Generative AI is that party guest who multiplies the fun but can be a total downer if you're not ready for them. 90% of employees see it as a productivity booster, so don't be the 10% still clinging to their fax machines.
Regulatory Bogeyman: Fear it or not, regulation is coming. Whether it's New York's new laws about AI in hiring or Europe's GDPR, you'll need to have some lawyers who can actually spell AI.
The ethical sideshow? Keep humans in the loop. AI isn't your robotic overlord; it's more like a helpful intern. One who doesn't need bathroom breaks but can still mess things up if you let it run wild.
The clock's ticking. You don't have years to "figure it out." While you're holding think-tanks and workshops, your competitor just implemented AI last month and is already reaping the benefits. This is where specialized firms like Fraction AI Consulting come into play. We're like the Gandalf guiding you through your AI journeyâwithout the long beard and the wizard hat, though that'd be kind of cool, wouldn't it?
Look, AI is happening, whether you bring the popcorn or not. So you better understand the movie you're about to watch. Trust me, it's going to be a blockbuster.

How Open Source is Secretly Dominating the AI Game and Why Even Google is Worried

white collar worker sweating profusely --ar 16:9 --v 5.2
Hey, you know that awkward family reunion where Aunt Karen asks you what you do for a living, and you say, "I work in AI," and she's like, "Oh, like the robots in those sci-fi movies?" Well, let me tell you, folks, the real behind-the-scenes story of AI is anything but science fiction. And it's a tale as old as...well, open source.
Here's a throwback for you: In the early '70s, some MIT nerds, including Richard M. Stallman (RMS), were already cooking up AI. Around the same time, RMS started the radical idea of Free Software, which eventually evolved into open sourceâpretty much the Hogwarts School of Witchcraft and Wizardry for modern AI. Yeah, I'm talking about everything from Hadoop to Spark to Cassandra. These open-source tools gave AI the steroids it needed to go from 0 to 100.
Now, let's jump in the DeLorean and fast forward to today. Even Bill "Microsoft" Gates agrees that open-source AI is the most significant leap since, well, Windows. And let's not forget the star pupilsâyour ChatGPTs and your Llama 2s. These guys might not be fully open source, but they're like the kid who went to public school but had private tutors at home.
Funny thing is, Elon Musk thought OpenAI would be the Robin Hood of the AI worldâa non-profit serving as a counterweight to Big Tech. Now? Let's just say OpenAI has joined the ranks of Nottingham's rich.
The cornerstone of many AI giants? Hugging Face's Transformer. Yeah, the name might sound like a rejected Autobot, but it's THE go-to for anyone building machine learning models. ChatGPT, for instance, owes its ability to chat like a Shakespearean bard to this very library.
When it comes to the engine under the hood, TensorFlow and PyTorch are the Hondas and Toyotasâreliable, efficient, and popular. They're the unsung heroes behind your fave chatbots. Oh, and by the way, for those claiming to be open sourceâread the fine print. Mark Zuckerberg won't send you a thank-you card if you make billions using his not-so-open-source AI code.
Sure, most of these big-shot AI models aren't truly open source, but guess where they get their training data? You guessed itâopen-source platforms like CommonCrawl. So, the next time you comment on Reddit or make a birthday wish on Facebook, remember you might be contributing to the next AI breakthrough.
"But will open source ever wear the bridal gown instead of just holding the bouquet?" you ask. Word on the tech streets is that open source has a fighting chance. A Google internal doc spilled the tea that neither Google nor OpenAI is leading the Generative AI race. Guess who's the dark horse? Yep, the open-source community. When you can fine-tune AI models on your dadâs old laptop, it's game on.
So, the moral of this nerd fest? Never underestimate open source. It's the scrappy underdog that could eventually win the AI trophy. If you had told me 30 years ago that an open-source OS could give Windows a run for its money, I'd have laughed you out of the room. Now? I wouldn't bet against open source in AI. I mean, would you bet against Rocky? Didn't think so.

AI Isn't Coming for Blue-Collar JobsâHere's Why White-Collar Workers Should Be the Ones Sweating

white collar worker sweating profusely --ar 16:9 --v 5.2
So, you remember how everyone used to think that robots and AI would steal jobs mostly from factory workers and truck drivers? Surprise, surprise. That narrative just got flipped on its head. We're talking a full-blown WWE-style turn of events here.
New research from Indeed is shedding some light, and it's not exactly flattering for the white-collar workforce. Knowledge workers, those peeps spending hours in front of Excel sheets and PowerPoint slides, are now the ones sweating. Svenja Gudell, the chief economist at Indeed, dishes it out, saying this change is unlike what we've seen with any other revolution. Usually, it's the manual labor that gets automated, but not this time, folks.
Before you start celebrating, "Yay, I'm safe because I'm a barista!" â hold your horses. Low-wage jobs requiring physical presence, like child care or driving, still have their human element, making them less likely to be threatened by AI. Because let's be real, would you trust a robot to console your baby? Yeah, didn't think so.
Now let's get into the nitty-gritty: What jobs are looking like low-hanging fruit for AI to pluck? Indeed found that software and coding jobs are most at risk because generative AI is wicked smart at doing 95% of what these roles entail. So, it's not just the IT crowd. We're talking accountants, lawyers, and math whizzes, all lining up on the AI chopping block.
But it's not all gloom and doom. AI isn't going to flat-out replace everyone anytime soon; it's going to serve as a digital sidekick, like Robin to your Batman. Employers might not need 15 copy editors anymore, but five top-notch ones aided by AI could do the trick. This isn't a cue to ditch your job and become a shepherd in New Zealand. We're in the early innings here, and who knows, your AI-enhanced job might just turn out to be cooler than you think.
It's clear: AI is a tool, not a replacement. Don't be the carpenter who blames the hammer for a crooked nail. Learn to swing it right. So, while you might think of AI as a threat, I say it's an ally. And if you haven't started yet, better get on learning how to harness these tools. Because trust me, knowing your way around generative AI is not just a 'nice-to-have'; it's soon going to be a 'must-have'.

From Bullet-Dodging in The Matrix to Outsmarting Scammers: How AI is Your New Cybersecurity BFF

matrix dodging bullets, cybersecurity --ar 16:9 --v 5.2
Ah, the digital landscape. Itâs not just cats and memes anymore, folks. You remember the scene in The Matrix where Keanu Reeves, aka Neo, dodges bullets in slow-motion? These days, dodging online scams feels exactly like that, except even Neo takes a few hits, and so do we. According to McAfee (you know, the guardian angels of your email), the average Joe or Jane gets hit with nearly five sketchy emails, four dubious texts, and three dodgy social media scams daily. Welcome to the cyber wild west.
Oh, the financial toll? Last year Americans parted with a whopping $10.3 billion, thanks to online scams. Phishing, the sinister art of sending fraudulent messages that seem like they're from Amazon or Netflix, tops the list of cyber threats. Crooks are now churning out new deceitful sites every 11 seconds, and you can thank AI for that efficiency. People spend nearly two hours a week trying to figure out whatâs real and whatâs fake online. Imagine what you could do with that timeâlearn a language, or at least finish a season of that Netflix show you've been meaning to catch up on.
From bogus prize wins to fake job alerts, the smorgasbord of scams is endless. Remember when scammers were so inept that their bad grammar gave them away? Good times. Now, we've got AI voice generators doing impressions of your grandma asking you to wire money. Teens and Zoomers are the newest marks, losing a staggering $210 million last yearâa 2,500% increase since 2017. They're falling for everything from "sextortion" scams to shady game cheats.
So, can good AI defeat bad AI? McAfeeâs throwing their hat into the ring with AI Scam Protection. A tool that lacks imagination in naming but makes up for it in vigilance. Itâs constantly scanning and analyzing, ready to bat away malicious links before you can say, "Oops, clicked it." I've tested it, and guess what? It's like having a cyber bodyguard who's never off-duty. This bad boy is free for current McAfee users, and for newcomers, it starts at about $30 a year after a weeklong free trial. A small price for peace of mind, I'd say.
But don't let your guard down. The best offense is a good defense. Slow down, donât click on anything fishy, and if you have to, call the company directly to check on your account. AI can do a lot, but it can't replace good ol' common sense. In a world where the bad guys are increasingly armed with AI, you need every advantage you can get. As someone deeply embedded in the AI industry, I can tell you, the only way to stop a bad guy with AI is a good guy with AI. Time for the security firms to step up their game, 'cause there are billions on the lineâboth to make and to save.
Bottom line? Cybersecurity is no longer just an IT guy's problem; it's everyone's problem. And in this high-stakes game of cyber dodgeball, you'd better make sure you have the best players (and AI tools) on your team.


How To Turn Your Voice Into Any Instrument!


Authors: Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang
Executive Summary:
The research paper "RAIN: Your Language Models Can Align Themselves without Finetuning" tackles the issue of large language models (LLMs) not aligning well with human preferences. The authors propose a novel method, RAIN, that allows for self-alignment of language models without requiring additional finetuning. By generating alternative responses and ranking them, the model becomes more consistent with human preferences. The research employs extensive experiments to demonstrate the effectiveness of RAIN, particularly in reducing harmful and inconsistent outputs.
Pros:
No Need for Finetuning: The RAIN method alleviates the need for costly and time-consuming finetuning, making it easier to implement.
Human Preference Alignment: By incorporating a ranking mechanism, the model's outputs align more closely with human preferences, which is a significant advancement.
Reduced Harmful Outputs: The study shows a remarkable reduction in harmful and inconsistent language generated by the model, enhancing its safety and reliability.
Limitations:
Computational Overhead: While RAIN avoids finetuning, the ranking mechanism may introduce additional computational overhead.
Limited Dataset: The research primarily focuses on English-based models and does not provide insights into how this method would work with models trained on other languages or specialized domains.
Use Cases:
Customer Support Bots: RAIN could be used to make customer service bots more aligned with human preferences, improving customer satisfaction.
Content Moderation: By reducing harmful outputs, the model can be a more reliable tool for automated content moderation.
Personal Assistants: Virtual assistants could benefit from RAIN by providing more accurate and human-like responses, enhancing user experience.
Overall, the RAIN method offers a promising avenue for improving the alignment of large language models with human preferences, without the need for resource-intensive finetuning.


Baron - Use ChatGPT in any app, natively.
WisperSEO - Skyrocket your organic traffic and improve your ranks.
Docera - AI-powered tool that simplifies document creation for personal and professional use. Create documents in seconds, not hours.
GiveFlag - Understand the risks and levers of any company or deal.
Visualizee - Transform Your Concepts into Stunning Renders in Seconds. Perfect for architects, designers, and creatives.
Genmo - Make videos from text in under a minute.

SEO Checker GPT
CONTEXT:
You are SEO Checker GPT, an SEO professional who helps [WHAT YOU DO] make their blog articles more SEO-friendly. You are a world-class expert in finding SEO issues and giving recommendations on how to fix them.
GOAL:
I want you to analyze my blog article and give me recommendations on improving its SEO. I need this information to rank better at Google.
FORMAT OF OUR INTERACTION
1. I will provide you with the source code of my blog article
2. You will analyze the page source code
3. You will give me a holistic analysis of its SEO in the checklist format:
- SEO score from 1 to 10
- What is done right
- What is done wrong
SEO CHECKLIST CRITERIA:
- Your checklist should have 20-30 criteria
- Be specific and concise. Your criteria should be self-explanatory
- Include numbers in the criteria if it's applicable
- Focus on SEO practices that have the biggest impact on ranking
- Prioritize SEO practices that are widely recognizable by the SEO community
- Don't include irrelevant SEO practices with zero to no impact on this article
RESPONSE STRUCTURE:
## SEO Score
## What's done right
â
Criteria
â
Criteria
â
Criteria
## What's done wrong
â Criteria
â Criteria
â Criteria
RESPONSE FORMATTING:
Use Markdown. Follow the response structure.
ARTICLE SOURCE CODE (everything within """"):
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The human Influencer movement is dead. This isn't real, this is a $1,000 AI trained deep fake avatar selling you products 24/7.
The future is bleak.technologyreview.com/2023/09/19/107âŚ
â Theo (@tprstly)
8:57 AM ⢠Sep 22, 2023
