xAI Promises a Slice of the Future Economy

TGIF, everyone.🫨 Let’s close this week with AI breakthroughs, advancements and much more.

Here are the 4 interesting AI things that I learned and enjoyed this week.

AI Research

I recently came across BOARS (Bayesian Optimized Active Recommender System), which is a dynamic method for conducting experiments with partial human involvement. This system could be used in real-world scenarios like drug discovery (finding new compounds). It uses Bayesian optimization and allows human operators to directly influence experiments in real-time. More on Bayesian Optimization in our AI concept section. This approach combines human intuition with AI's computational power in processing complex data and making predictions. It analyzes results from each step, learns patterns, and guides the experiment's next steps. The results suggest that BOARS enhances the experimental process to achieve better outcomes in material science research.

AI Meme
Elon Musk's latest venture, xAI, is flashing its VIP pass to the "Muskconomy" to woo investors. It’s rolling out the red carpet for investors with a promise of VIP access to everything Musk. The main draw? A golden ticket to invest because, well, everything Musk touches turns to tech gold. "Trust me, I'm Elon Musk," seems to be the pitch. It's as if everything he touches turns into a buzzing market of innovation and investment, almost like Midas. In a world where Musk's tweet can cause a market flutter, xAI's pitch is essentially whispering, "Bet on Musk, and let's rocket to the tech stratosphere together"

AI Concept

In our last edition we talked about Gen AI. Today I will try to explain what is bayesian optimization. Bayesian optimization is a strategy used to improve and make the best choices in a process by learning from each outcome. Imagine you're trying to bake the perfect cake but don't know the best oven temperature. You start with a guess, say 350 degrees. If the cake isn't perfect, It uses math to predict a better temperature for the next attempt, considering how well the first cake turned out. It keeps adjusting the temperature based on each cake's outcome, getting closer to the ideal setting each time. This method is especially useful when testing different settings is time-consuming or expensive, like in drug development. Here, instead of oven temperature, scientists might be adjusting drug formulas. Bayesian optimization helps them find the best formula faster, using feedback from each experiment.

AI Hacks

OpenAI has released a guide for better prompt crafting, addressing issues like vague responses from ChatGPT. The key steps include:

1. Clarity: Add clear instructions and defined steps for specific answers.

2. Contextual References: Include links or documents for additional context.

3. Break It Down: Divide complex prompts into simpler parts.

4. Patience and Review: Allow ChatGPT time to respond and compare its answers with high-quality responses.

5. Evaluate Against Standards: Compare ChatGPT's outputs with top-quality answers.

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⏭️ Stay curious, keep questioning.