The f(x) = e^x | Cause, Effect and AI

The f(x) = e^x | Cause, Effect and AI
đŸ‘‹ Hi, I am Mark. I am a strategic futurist and innovation keynote speaker. I advise governments and enterprises on emerging technologies such as AI or the metaverse. My subscribers receive a free weekly newsletter on cutting-edge technology.

Good Day! This is my weekly newsletter, with a dose of insights into the future. The topic of this newsletter is the exponential times we live in, hence the title of f(x) = e^x, which is the (natural) exponential function.

You can visit The Digital Speaker to book me as a keynote speaker for your next event or to hire me as a future tech coach for your CEO. Don't forget to tune in to my Step into the Metaverse podcast or read my top ten technology trends for 2023.

Cause and Effect: The Rise of Causal AI and Its World-Changing Impact

My latest article:

Causal AI is a new field that combines artificial intelligence and causal reasoning to provide more accurate predictions and decision-making. Major tech companies like Google, Microsoft, and Amazon have invested in the development of causal AI, which is expected to benefit industries such as healthcare, finance, marketing, operations, and risk management.

Causal AI operates by understanding cause-and-effect relationships between variables, unlike other AI techniques that focus on finding patterns in data. This solution offers a more transparent and safer approach to AI decision-making by reducing the risk of unintended consequences and ensuring unbiased outcomes.

The implementation of causal AI systems in enterprises will occur in the next few years, providing transparent and explainable AI that is safe and fair to use. The future of causal AI is promising, with a rapidly growing market and widespread adoption in various industries.

Useful Nuggets of Information

My weekly tips from around the web to get you thinking.

1. AI language mastery doesn't mean thinking ability.

ChatGPT may be good at stringing words together but struggle with tasks like basic arithmetic or giving cooking advice. Language and thinking may not be as intertwined as we thought. AI programs being "good at language" doesn't mean they're "good at thought". (The Atlantic)

2. From deep learning to psychological AI.

In 2023, deep learning will come to a dead end, and the importance of psychological AI will be recognised. Like humans, machines need to learn how to forget to make better predictions. (Wired)

3. Bitcoin meets podcasting: listen and earn.

Podcasting is getting a cryptocurrency makeover as a new "listen-to-earn" program rewards listeners for their value and allows podcasters to focus their spending on those who want to listen instead of costly ad campaigns. (Decrypt)

4. Abundant resources for a sustainable future.

The world has enough resources to transition to renewable energy. The benefits of clean energy will outweigh any impacts of mining these materials. (MIT)

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