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Tax Scams, Health Predictions & Tokyo's Tech Surge 🚀

Today's Aideations Newsletter is packed with groundbreaking developments and thought-provoking insights across the AI landscape:

  1. AI-Enhanced Tax Scams on the Rise: Cybercriminals are exploiting AI to create sophisticated tax fraud schemes, posing serious threats to taxpayers and the IRS.

  2. Foresight: The AI Crystal Ball Peering into Your Health Future: An innovative AI model that uses your medical records to predict health risks and outcomes, potentially revolutionizing healthcare planning and personalized medicine.

  3. Sakana AI Unveils Open-Source Models in Tokyo: Highlighting the innovative 'model merging' technique and its role in establishing Tokyo as a leading AI innovation hub.

  4. AI Scams Hit Wall Street: A look into how AI is being misused to deceive investors on Wall Street, prompting regulatory actions to safeguard market integrity.

  5. News of the Day: Ethical AI model development challenges existing norms, Apple's AI potential, the impact of AI on the US workforce, and the issue of spam in OpenAI's chatbot store.

  6. Tutorial of the Day: A guide to running your own private AI, offering insights into personal AI utilization and data privacy.

  7. Research of the Day: Mora's advancements in video generation technology, pushing the boundaries of AI-driven content creation.

  8. Video of the Day: Exploring the march towards AGI, featuring key perspectives from industry leaders.

  9. Tools of the Day: Introducing new AI tools that enhance communication, content creation, and data analysis, driving innovation in the AI space.

  10. Prompt of the Day: A strategic approach to creating a comprehensive content strategy, aiding brands in navigating the content landscape with AI.

Your compass to navigating the rapidly evolving world of artificial intelligence—be informed, be inspired, stay ahead.

AI-Enhanced Tax Scams on the Rise: Navigating the New Threat Landscape

Quick Bytes: AI is transforming tax season into a goldmine for scammers. They’re using advanced tech to impersonate taxpayers, stealing refunds right from under their noses.

Key Takeaways:

  • AI-Powered Scams: Cybercriminals are leveraging AI to create lifelike forgeries, tricking the IRS into sending them your tax refund.

  • Long Wait for Victims: If you fall prey to this, brace for a long haul—average resolution time is 19 months.

  • Scammers’ Tactics: They’re compiling your info from various sources to file fake returns early, beating you to the punch.

  • Rising Complaints: Identity theft complaints are skyrocketing, with the IRS flagging a massive number of returns for fraud checks.

  • IRS Advice: To dodge the fraud bullet, file early, opt for direct deposit, and secure your IRS online account.

The Big Picture: We're on the brink of an AI revolution that's not all sunshine and rainbows. Tax scams are getting a high-tech facelift, making them harder to spot and stop. The IRS is beefing up its tech to fight back, but the battle’s just beginning. As AI evolves, staying vigilant and informed is your best defense against these next-gen scams.

Foresight: The AI Crystal Ball Peering into Your Health Future

Quick Bytes: Picture this: Your medical history, now a crystal ball. That's Foresight for you, a new AI model that uses every scrap of your medical records—yep, even the doctor's scribbles—to predict your health future. It’s like having a fortune teller for your health, without the crystal ball and the hocus pocus.

Key Takeaways:

  • What’s Foresight? It’s a smarty-pants AI model that predicts medical conditions using both the neat charts (structured data) and the doctor’s chicken scratch (unstructured data) in your health records.

  • Why bother? Because it turns out, the messy notes your doctor takes are gold mines for understanding your health journey, providing insights that structured data might miss.

  • Tech Talk: Foresight is built on a GPT-style architecture, which means it’s good at generating predictions just like GPT-3 spins out text.

  • Real-world test drive: It’s been tested across three hospitals, covering a wide range of health issues, so it’s not just a fancy lab experiment.

  • Limitations alert: Don’t get too excited—it’s not ready to replace your doctor yet. It’s based on past medical practices, which might not always match up with the latest health guidelines.

The Big Picture: Foresight is like a window into the future of healthcare, showing how AI can harness the mess of medical records to predict what might ail us next. But it’s not just about foreseeing doom and gloom; it’s a tool that could revolutionize medical research, education, and maybe even how we approach our health. Imagine a world where we can foresee and prevent illnesses before they happen, or where medical students can learn from simulated patient journeys crafted by AI. That’s the future Foresight is hinting at. Still, we’ve got some road to travel before this AI can sit in the doctor’s chair.

Sakana AI Unveils Open-Source Models Using Evolutionary 'Model Merging' Technique in Tokyo

Quick Bytes: Sakana AI, led by former Google researchers, has unveiled open-source AI models in Tokyo, employing a unique 'model merging' method inspired by natural selection processes.

Key Takeaways:

  • Innovative AI Creation: Sakana AI's 'model merging' technique involves combining existing AI models, akin to breeding in natural evolution, to enhance capabilities and efficiency.

  • Open-Source Models: The startup has released three Japanese language AI models, with two made open-source, encouraging global collaboration and innovation.

  • Founders’ Pedigree: Founded by David Ha and Llion Jones, ex-Google researchers, Sakana AI is leveraging their expertise in AI and deep learning, notably in transformer architecture which is fundamental to current generative AI advancements.

  • Tokyo’s AI Ambition: With substantial seed funding, Sakana AI aims to position Tokyo as a leading AI hub, drawing a parallel with how OpenAI spotlighted San Francisco and DeepMind did for London.

The Big Picture: Sakana AI's release of these models is significant, showcasing a novel method in AI development while contributing to the open-source community. The company's approach and its founders' backgrounds signal a strong entry into the competitive AI landscape. With the strategic vision to elevate Tokyo as a key AI hub, Sakana AI is setting the stage for broader, global AI advancements and collaboration.

AI Scams Hit Wall Street: Beware the Hype Behind the High Tech

Quick Bytes: Wall Street's latest craze? AI scams. Investment advisers are getting slapped with fines for AI washing—talking big about using AI when, in reality, it's all smoke and mirrors. It's the old bait-and-switch, but with a techy twist.

Key Takeaways:

  • AI washing: It’s like greenwashing but for AI. Firms claim they’re using advanced AI technologies to attract investors, even when their actual use of AI is minimal or misleading.

  • SEC crackdown: The Securities and Exchange Commission isn’t amused, hitting companies like Delphia and Global Predictions with fines for making these deceptive claims.

  • Investor beware: The AI hype has fueled a market surge, but it’s also ripe for scams, with concerns about security risks and disinformation.

  • Protect your pocket: The SEC advises checking if firms are registered, using multiple verified sources, ignoring flashy celebrity endorsements, and being wary of too-good-to-be-true promises.

The Big Picture: The AI gold rush on Wall Street is creating a playground for scammers. AI washing is just the tip of the iceberg, exposing the darker side of the AI hype. Investors are being urged to tread carefully, as the seductive sheen of AI can easily mask the reality of risky or fraudulent ventures. Amidst AI's transformative potential, it's crucial to remember that not all that glitters is gold, especially in the high-stakes world of finance.

Run Your Own Private AI

Authors: Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun (Lehigh University and Microsoft Research)

Executive Summary:

Mora represents a significant stride in video generation technology, building on the achievements of OpenAI's Sora. While Sora excelled in creating high-quality, long-duration videos from text, it remained closed-source, limiting academic research. Mora, an open-source framework, aims to bridge this gap by leveraging multiple visual AI agents, thus democratizing video generation technology. It supports diverse tasks like text-to-video generation, image-to-video conversion, and digital world simulation, achieving performance close to Sora in many aspects.

Pros:

- Mora's open-source nature fosters innovation and collaboration in the AI community.

- Its multi-agent framework demonstrates flexibility and adaptability in handling various video generation tasks.

- Mora excels in generating detailed, high-quality videos from text prompts, with performance nearing that of the leading closed-source model, Sora.

Limitations:

- Mora struggles with generating realistic human movements due to the scarcity of high-quality video datasets.

- It faces challenges in video quality degradation over longer durations and in translating complex motion descriptions from text.

- The absence of human labeling in training data may affect the alignment of generated videos with human visual preferences.

Use Cases:

Mora can be used across a range of applications, from content creation and filmmaking to simulation and training, offering an accessible and adaptable tool for video generation that keeps pace with evolving technology and user needs.

Why You Should Care:

Mora's development signifies a leap towards open-source, collaborative video generation, enabling wider access to advanced video generation technologies. Its capacity to handle a broad spectrum of video tasks with considerable efficiency and quality makes it an important tool for researchers, developers, and content creators aiming to push the boundaries of video generation and utilization.

M1 - Meet M1: your AI-powered communication sidekick. Just start calling and texting from your brand new phone number, and unlock powerful new ways to express yourself and remember what matters — powered by ChatGPT.

Content Codex - Discover how AI can amplify your brand's story, crafting strategies with Content Codex that resonate on a deeper level and engage more effectively.

Blobr - Discover hard to find insights across all of your apps.

Dragoneye - Instantly give your apps the power to see. Powerful computer vision available in dead simple APIs.

Eggnog - Create AI videos with consistent characters.

end of text - Take the guesswork out of prompt engineering with suggested edits, prompt rewrites, and automatically generated test cases.

Create A Content Strategy:

I want you to create a Content Strategy for me.

A Content Strategy is a document that describes a brand’s social media strategy so it know what to create content around - and what not.

It’s like a North Star for the brand’s content: it’s specific enough to serve as a guiding and reassuring document, but vague enough to leave some room for interpretation.

The brand I want you to create a Content Strategy for is [1. GIVE CONTEXT]

The target audience of this brand is [2. TARGET AUDIENCE], please draw context about their frustrations, fears, desires, and dreams from the previous output.

--

To create a content strategy, I want you to imagine a "Content Strategy Matrix" with an x and y axis. 

## On the x axis, you have the 3 proven content types:

1 Growth content - to get eyeballs

This is the type of content that goes viral on social media all the time.

It’s contains relatively basic information, doesn’t provide any unique value, but that’s precisely why it works so well:

It’s beginner-friendly content that promises a “quick fix”, and often appeals to the reader's fear of missing out, innate human needs (status, money, etc).

When creating good growth content, you want to ask yourself: how can I position my content as the small effort that is standing between the reader and a big benefit that appeals to as many people as possible?

---

2 Knowledge content - to get fans

Knowledge content educates your audience on something specific.

It is much deeper and precise than Growth content, so it appeals to a more specific audience, and solves one specific problem for them.

This actionable and informational content teaches your reader one of 2 things:

a) How to get something they really desire 

b) How to avoid something they really don’t like 

This content works because when you you solve people’s problems, they start liking you.

The key to creating good knowledge content is being aware of the problems and desires of the audience you're talking to, and then to produce the world's most valuable content for exactly that target audience.

---

3 Authority content - to get authority

Authority content makes your audience trust your expertise by giving them reasons to trust you, commonly through social proof.

Because even if someone knows & likes you, they won’t buy from you unless they trust in your ability to help them.

Common ways to do this are:

* Sharing testimonials

* Sharing achievements

* Sharing other social proof

* Sharing extremely-specific knowledge content

Authority content works well when it subtly addresses the big inner desire the reader has. It should give the reader the inner feeling of hope, and feel like "if this creator has proof that they helped someone else who's exactly like me, perhaps they can really help me"

---

## on the y axis, you have my 3 content buckets, the things I have expertise in:

1 [3.TOPIC 1]

2 [3.TOPIC 2]

3 [3. TOPIC 3]

—

Now, I want you to create a Content Strategy by filling out the matrix.

Fill out the matrix by applying each of the 3 proven content formats from the x axis  to the 3 content buckets on the y axis.

The output should be formatted in a table, so that each resulting matrix field has a **bolded** headline describing it, with 2 sentences below explaining the component of the content strategy.

After outputting the table, suggest 2 content ideas for each component of the Content Strategy