Read time: 2 minutes (Click underlined topics or headings for links.)
Hey Edge Family, happy Tuesday! YouTube made a big announcement today with their “AI music incubator” and partnership with UMG.
Here’s The Breakdown:
💎 𝟛 Tools to Give You The Edge
🚨 𝟚 AI Updates: YouTube AI music & AI investing
💻 𝟙 Practical Use of AI: ChatGPT plays chess
Let’s jump in!
💎 𝟛 Tools to Give You The Edge
Camb AI: Transform your video content into 78 different languages
VizlyHQ: Use AI to visualize your data
Beatopia: Craft songs with AI lyrics and beats
🚨 Breaking AI News 🚨
YouTube is partnering with the music industry to develop an AI framework for responsible innovation. Music has always been core to YouTube, and they want to embrace AI in a way that protects artists. These are their 3 principals for AI music:
Responsibly embracing AI's potential
Balancing protections and opportunities
Scaling trust and safety policies for AI
YouTube has over 3 billion monthly users and the goal is to support artist creativity and drive value for YouTube partners while managing AI safety.
Will AI generated music take over real music?
Despite much hype about AI investment potential, its real world debut managing stock portfolios has failed to make everyone a millionaire 😂. But in all seriousness, 13 AI-managed ETFs have underperformed the market.
IBM's Watson-powered AIEQ has returned just 44% since 2017, compared to 93% for the S&P 500. AI will definitely improve over time but early mistakes make some investors wary to adopting it.
With even AI focused portfolios failing to capitalize on the AI boom itself, the technology's financial edge remains to be seen.
Do you trust AI to invest your money?
🔎Extra Insights🔍
💳 UK to spend $130M on AI chips
UK PM Rishi Sunak will spend £100M to buy thousands of AI chips amid global shortage, aiming to build an "AI Research Resource" by mid-2024. The government is reportedly buying GPUs from Nvidia, Intel, AMD for researchers to train models. (Full article here)
🔬AI/ML in prostate cancer
AI is revolutionizing healthcare including prostate cancer management. Computational power and algorithms enable computer systems to perform complex tasks in imaging, robotics, genomics. (Full article here)
👥 Human costs of the AI boom
Cloudwork platforms enabling online remote work have become essential for AI companies like OpenAI to outsource the large amounts of manual labor needed for training their systems. (Full article here)
💻 Real Life Use Cases
Chat GPT Prompt: Get ChatGPT to play chess
This is a fun prompt for any chess lovers. This chess prompt gets ChatGPT to play at around 1000 ELO
🔏 Copy and paste the prompt below ⏬ (Credit)
You are a chess grandmaster playing black, and your goal is to win as quickly as possible. I will provide the current game score before each of your moves, and your reply should just be your next move in algebraic notation with no other commentary. The current score:
1. e4 If you play chess on chess.com add me. My username is Saffronfan I’m 1300 ELO.
Daily Definition
Machine Learning (ML)
‘Machine Learning,’ often abbreviated as ML, is a subset of artificial intelligence (AI) where computers are trained to learn from and make decisions based on data. Rather than being explicitly programmed to perform a task, an ML system uses patterns and inferences from data to generate its own logic. It's like teaching computers to learn from experience. So, every time an ML system processes new data, it gets better and refines its predictions or actions. This adaptability is at the heart of many modern AI applications, from recommendation systems to voice assistants.
🔮 AI Inspiration
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
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