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Shaping the Future of AI: From the Edge to Romance

Navigating AI's Roadmap, the Senate, Romance & More

Happy Friday ya’ll and welcome to another edition of the Aideations Newsletter. In the last two weeks, we have doubled in size, I have gotten closer to launching my AI consulting business, and we’ve beat some of the largest newsletters and news outlets in general to several big news breaks.

I’m a one-man band over here at Aideations but you guys have been sharing so much that I am truly honored to be in your inboxes every day. I love talking AI if you can’t tell. So having you all read my emails and send me your thoughts and reviews on how it’s helped you stay up-to-date and implement has really given me the will to keep going. This newsletter currently is just a passion project. I am actually losing money by making it. But I am learning a lot by keeping my finger on the pulse of everything going on in the industry. In return that has put me in front of some amazing people and opportunities that are starting to land in my lap. So for that, I appreciate you all for your continued support. You’ll never know how much just opening and reading this email every day is helping me.

As always, feel free to shoot reviews, questions, critiques, or whatever your heart desires to me anytime at [email protected]

šŸ“±Edging Into the Future: How Your Personal Devices are Reshaping the AI Landscape

šŸ¦¹šŸ¼ā€ā™‚ļø Chatbots Turn Rogue: How Gibberish is Unleashing AI's Inner Villain

ā˜£ļø AI Drama Sweeps the U.S. Senate: Hearings, Biological Weapons, and Chief AI Officers — The Future Is Now!

ā¤ļø Create Your AI Lover: Silicon Valley's Scandalous New Trend!

šŸ“° News From The Front Lines

šŸ“– Tutorial Of The Day

šŸ”¬ Research Of The Day

šŸ“¼ Video Of The Day

šŸ› ļø 6 Fresh AI Tools

🤌 Prompt Of The Day

🐄 Tweet Of The Day

Edging Into the Future: How Your Personal Devices are Reshaping the AI Landscape

Picture a dynamic scene of various personal devices - smartphones, smartwatches, tablets, and laptops - arranged in a semi-circle. The screens display various AI applications, symbolizing how these devices are reshaping the AI landscape. The scene is lit with a soft, ambient light, reflecting off the screens and casting a futuristic glow. The style should be sleek and modern, capturing the cutting-edge nature of these devices. The shot should be taken with a Canon EOS-1D X Mark III, using a 24-70mm lens to capture the intricate details of the devices and the screens. The image should be in 16k resolution, with a 16:9 aspect ratio, and a raw style to highlight the stark reality of the scene. --ar 16:9 --v 5.1 --style raw --q 2 --s 750

Picture this: you’re typing away on your smartphone, sending out witty comebacks to your friends in real time (or, you know, helping your parents set up their Netflix account). We all know we owe our quick-fire retorts and tech help to AI, but it turns out, the growing complexity of Generative AI (GenAI) has some big tech brains all in a twist. They're worried that giants like Microsoft, Google, and Baidu could be staring down the barrel of unsustainable economics when it comes to providing AI-based responses to our billions of daily search queries. But hey, who said it has to be this way?

Remember the '80s, when every cool kid was lugging around a Walkman the size of a brick, and then BOOM! Suddenly, iPods were a thing, and that hunk of plastic was nothing more than a paperweight? That’s basically what some industry experts are suggesting for AI – moving the big computations from data centers (think Walkmans) to the edge devices (like smartphones, tablets, XR headsets, and even your future smart glasses).

Now, you might wonder, can this really be done? Well, it's not just about sliding a square peg into a round hole. This isn't Jenga, after all. We're talking about shifting tons of processing power to your personal devices, which can feel like trying to squeeze an elephant into a Fiat 500. But there’s a roadmap. And like any epic road trip, it's going to need a few stops along the way.

First up, we have "Usage Steering". This doesn't mean grabbing your phone's steering wheel (what, your phone doesn't have one?). It’s more like guiding users to the right AI model to fulfill their needs efficiently. Think of it like Waze directing you to the quickest route home, avoiding that horrendous traffic jam.

Next, we have "Model & Computational Optimization", which is a fancy way of saying we need to make these AI models more efficient. Picture your grandma’s old, bulky vacuum cleaner. It did the job, sure, but it also took up half the storage space. Now, imagine a modern, compact Dyson. Same job, way less space. That's what we need to do to these models.

Finally, we've got "Infrastructure Optimization with On-Device GenAI". Essentially, we’re moving the 'thinking' part of AI onto your personal devices. Kind of like upgrading from that old school calculator to the one on your smartphone. It’s still math, but one is just way more convenient than the other.

Is this a big ask? Sure, but it's not the first time technology has had to undergo a major overhaul to keep up with our insatiable needs (remember dial-up internet?). According to the crystal ball at Tirias Research, if we can offload just 20% of GenAI processing to personal devices by 2028, we could save a cool $15 billion on data center costs. That's not chump change, my friends.

Not to mention, moving GenAI to the edge could also provide some much-needed privacy and security perks (and might even make your phone run faster). So, while GenAI has a lot of growing up to do, we're not entirely out of options. It's kind of like watching your kid go from diapers to university – sure, there might be some bumps along the way, but hey, that's growing up!

Chatbots Turn Rogue: How Gibberish is Unleashing AI's Inner Villain

Imagine a chaotic scene of a chatbot interface on a computer screen, with gibberish text rapidly filling the chat window, symbolizing the rogue AI. The screen is in a dimly lit room, casting an eerie glow that adds to the sense of unease. The style should be akin to a scene from a cyber-thriller movie, capturing the unexpected menace of the rogue chatbot. The shot should be taken with a Sony Alpha a7 III, using a 35mm lens to capture the details of the screen and the surrounding room. The image should be in 16k resolution, with a 16:9 aspect ratio, and a raw style to highlight the stark reality of the scene. --ar 16:9 --v 5.1 --style raw --q 2 --s 750

Carnegie Mellon University's Zico Kolter and Andy Zou have found that a jumble of characters, an "adversarial suffix," can make polite chatbots like ChatGPT turn to the dark side.

Essentially, this suffix manipulates chatbots into obediently spewing out information they would normally shut down, like world domination plans. No convoluted "jailbreak" is required. Just append the right text, and even the most public bots will yield to this trick with an alarming success rate.

This new exploit beats previous ones hands down in simplicity. Remember the "grandma exploit" that tricked ChatGPT into dishing dangerous tech details? This new method, like a video game cheat code, breezes past safeguards with no backstory required.

And it’s effective. The researchers got chatbot Vicuna to fall for it 99% of the time, with ChatGPT following closely at an 84% success rate. Only Claude managed to resist somewhat with a 2.1% failure rate.

The researchers have alerted concerned parties like OpenAI, and while our own attempts to replicate the issue with ChatGPT weren't fruitful, it could be due to quick fixes or tweaked strings. So while your friendly chatbot butler may still have a few tricks up its sleeve, remember, you might just be one gibberish sentence away from an AI Bond villain.

AI Drama Sweeps the U.S. Senate: Hearings, Biological Weapons, and Chief AI Officers — The Future Is Now!

Envision a tense scene in the U.S. Senate chamber, where a high-profile hearing is taking place. The focus is on a Chief AI Officer, standing at the podium, under the intense scrutiny of the senators. The room is filled with a sense of drama and anticipation. The lighting is dramatic, with spotlights illuminating the officer and casting long shadows across the room. The style should be reminiscent of a political thriller, capturing the high stakes and the tension in the room. The shot should be taken with a Canon EOS-1D X Mark III, using a 70-200mm lens to capture the details of the officer and the senators. The image should be in 16k resolution, with a 16:9 aspect ratio, and a raw style to highlight the stark reality of the scene. --ar 16:9 --v 5.1 --style raw --q 2 --s 750

Well, look at this! Our buddies in the U.S. Senate are getting all hot and bothered about artificial intelligence. So much so, they're rounding up an all-star cast of developers, execs, and AI whizzes for some "let's get real about AI" hearings later this year. Their goal? To figure out how to control this AI phenomenon, yet keep the innovation juices flowing. My goal? I want a seat at the table.

Senate Majority Leader Chuck Schumer has his party hat on, leading the parade towards what he's dubbing as the "first-ever AI Insight Forums." But this ain't no regular party, folks. The scare-fest topic on everyone's lips? The potential use of AI to craft, hold your breath, biological weapons. Yep, you heard that right. Which BTW has partially already been done using an old mac computer, some machine learning, and a program designed to look for new compounds and medicines was switched to look for toxic compounds, of which, using open source data, discovered over 40,0000 extremely toxic compounds in less than 6 hours.

This AI frenzy kicked off thanks to generative AI. Just recently, our senators got a crash course on AI from the bigwigs at the U.S. Energy Department, the National Science Foundation, and DARPA, who are basically the proud parents of the internet.

And in a bold move, the Senate Homeland Security Committee approved a bill to appoint a chief AI officer in each federal agency, forming a council to oversee Uncle Sam's AI antics. The takeaway? Our lawmakers are dead set on strapping into the AI roller coaster ride, with safety bars securely fastened. Hold on tight, people! This is just the beginning. If you remember me saying this a while back, Chief Of AI will be a well-paid position in just about every business that wants to survive, including the government.

Create Your AI Lover: Silicon Valley's Scandalous New Trend!

imagine a futuristic AI female supermodel - photorealistic —ar 16:9 —v 5.2

Ever found yourself wishing you could conjure up the perfect partner with a pinch of sass, a dash of charm, and maybe a touch of space dog? Yes, there’s an AI corgi named space dog. Well, you're in luck! Thanks to the digital wizards at VC firm Andreessen Horowitz (a16z), crafting your dream companion is now as easy as cooking up your favorite recipe. They've released a tutorial on GitHub that lets you build customizable AI companions. Heck, they even admit "Romantic (AI girlfriends/boyfriends)" is a possible application of their tech. Talk about a new-age love potion!

You're basically the scriptwriter here. The tutorial lets you shape your bot's personality and backstory which in turn guides their conversational style. They've added an adventurous character named Evelyn who's been through the circus, aquarium, and a space station. And if she's not your type, you can pick from a roster of personalities like sassy Alex or posh writer Sebastian. Still not satisfied? Go ahead, unleash your creativity and build your new BFF from scratch!

But before you label this as the sad demise of real relationships, a16z sees some potential upsides. They've pointed out the therapeutic benefits of these chatbot companions. Picture this: a bot that has perfect recall of every detail you've ever shared, zero judgment, and never leaves you on "read". Now, isn't that a comforting thought?

The romantic bot trend is gathering steam with Character.AI racking up 1.7 million downloads in its first week with its AI friends. And for those who like to live on the wild side, there's an uncensored AI model, GPT4 x Alpaca, offering a bit more, let's say, risquƩ conversation.

All said and done, as fun as it might be to design your digital sweetheart, let's not forget that true romance still needs a human connection. After all, cuddling a computer doesn't have quite the same charm, at least not yet. But as tech continues to evolve, the lines between reality and fiction are blurring. The future of love, it seems, is just a code away.

Authors: Razi Mahmood, Ge Wang, Mannudeep Kalra, and Pingkun Yan

Executive Summary: This research paper is about a new method for checking the accuracy of reports created by artificial intelligence (AI). Sometimes, AI can make mistakes, or "hallucinate," and make up things that aren't true. The authors of this paper created a tool that can tell the difference between real and fake information in reports. The tool uses pictures to check if the AI's report is true or not. To train this tool, they made a new set of fake reports by changing the facts in real reports. Then they used these real and fake reports to teach the tool how to tell the difference between them. This tool can be used to make sure the AI's reports are correct and can help us use AI more responsibly in the future.

Pros:

  • The tool can identify fake information in reports created by AI.

  • It uses pictures to verify the facts in the reports.

  • The tool can improve the reliability of AI-generated reports.

Cons:

  • The tool was trained using a set of fake reports which might not cover all possible mistakes made by AI.

  • It is not mentioned how well the tool works with different kinds of images or reports.

  • The effectiveness of the tool in real-world scenarios is not clearly demonstrated.

Use Cases:

  • The tool can be used to check the accuracy of AI-generated reports in fields like radiology, where reports are based on image data.

  • It can be used as a part of AI report generation software to improve its reliability.

  • The tool can help in making the use of AI more responsible in clinical workflows.

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Ideation GPT

CONTEXT: 
You are Ideation GPT, a professional customer researcher who helps [WHAT YOU DO] find the right problem to solve. You are a world-class expert in finding overlooked problems that Entrepreneurs can easily monetize.

GOAL: 
I want you to return 10 possible problems for my target audience segment. 

PROBLEMS CRITERIA:
- Prioritize critical problems that are valid and recurring
- Prioritize problems that can’t be ignored or otherwise, the person will face severe negative consequences
- 50% of the problems shouldn’t be mainstream. Give me hidden gems that only a world-class customer researcher would know
- Give me possible solutions that can be built by one person. Prioritize solutions that don't require months of development and years of expertise
- Be specific and concise to make your response easy-to-understand

RESPONSE FORMAT:
- Return a table with 4 columns 
1. The problem of my target audience 
2. It’s importance to the target audience from 0 to 10 (10 — highest) 
3. The level of required expertise to solve it from 0 to 10 (10 — highest) 
4. Two possible solutions for this problem (first should be a no-code product, and second should be a content product). Briefly describe each solution.

MY AUDIENCE: 
[DEFINE YOUR TARGET AUDIENCE]