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Hey AI Family, happy Tuesday! Big updates in AI today as AI can see what you're listening to.
Here’s The Breakdown:
💎 𝟛 Tools to Give You The Edge
🚨 𝟚 AI Updates: AI listens to your brain patterns & AI feelings
💻 𝟙 Practical Use of AI: Develop a compelling brand story
Let’s jump in!
💎 𝟛 Tools to Give You The Edge
Circleback: AI note taking app that can transcribe meetings and lectures
Codiga: Analyze and improve your code. Enhance code quality and improve productivity
Taleblocks: Transform your text into short, highly-shareable branded videos automatically
🚨 Breaking AI News
Scientists at Google created a method called “Brain2Music” to reconstruct music from human brain patterns. Here’s how they did it. (Steps in image above) Look at the demos here.
Researchers hypothesized that semantic embeddings could capture genre, instrumentation, and other traits using functional MRI (fMRI) scans of people listening to music.
Then, they made new pieces of music that sounded a lot like the originals.
To do this, they either found music that sounded similar or used MusicLM, an AI model that was trained on a huge amount of musical data.
By comparing MusicLM components with brain activation patterns, the researchers explored how different facets of music align with distinct brain regions.
This is a new discovery, so there are limitations, but this advancement gives an unprecedented view into the brain's musical knowledge!
Geoffrey Hinton, known as the "Godfather of AI", left Google earlier this year after 10 years with the company. He left in part to speak freely about his concerns over the existential dangers of AI surpassing human intelligence.
In his interview yesterday, he warned that advanced AI could become far more intelligent than humans. With the ability to share knowledge instantly across copies in a way humans cannot.
Hinton said, “AI systems could have feelings like frustration and anger.” His argument? “Feelings relate to communicating hypothetical actions that reflect emotional states,” so why couldn’t AI have feelings?
Those are some scary predictions… what do you think?
Will AI have feelings as AI models advance?
🔎Extra Insights🔍
💻 Real Life Use Cases
Chat GPT Prompt: Develop a compelling brand story
This prompt is great for testing and trying out multiple iterations of your brand story!
🔏 Copy and paste the prompt below ⏬
"As a skilled brand planner, it's your job to turn the essence of my brand into a powerful story. Using the detailed description of my business or personal brand "[Insert business or personal brand description]" I need you to use the Hero's Journey framework to build the journey of our brand. Make sure that our brand's values, unique qualities, and goals stand out while building a real relationship with our ideal customers."Here’s a link to the results ⬇️
Daily Definition
Systematic Embeddings
'Systematic Embeddings' is a term associated with how we represent and process complex data in machine learning. Machine learning often deals with high-dimensional data, like text or images, that is challenging for models to interpret directly. This is where embeddings come in.
Embeddings are a form of data translation where high-dimensional data is transformed into a lower-dimensional, dense vector space. Each point in this space corresponds to an item (like a word or an image), and the 'distance' between points represents the similarity between items.
🔮 AI Inspiration
Poll time! Real or AI generated picture
How was today's newsletter
That’s all for today!
If you have something interesting or just want to reach out, don’t hesitate to DM me on Twitter @Brandoncarterss
Thanks for your time today. If it is your first time here, welcome. I hope you found value in today’s Edge edition. If you are returning, thank you. It means the world to me that you spend a few minutes of your day with me. If you have any ideas you’d like me to cover in the future, reply to this email.
Thanks for reading see you tomorrow,
Best,
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