ATL #01 Can GPT-4 take over the world? 🎠
Plus: Is AI better at assessing Heart Health?
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Hello Thought Leaders aka humans.
You made it to the first edition of ATL newsletter. Congratulations!
Let’s see what havoc AI has made this week around the globe:
Test on GPT-4 taking over the world 🎠
Can AI perform better in assessing Heart ❤️
Quick AI BYTES for snacking 🍟
Learning of the week: MODELS 🧑💻
Power Up for next Week 🚀
🎠Test on GPT-4 taking over the world
OpenAI has allowed an AI testing group to evaluate the potential risks of its new GPT-4 AI model.
What?
The AI testing group, called the Alignment Research Center (ARC), tested GPT-4's emergent capabilities, such as "power-seeking behaviour", self-replication and self-improvement.
Hang on, but why this test?
The concern over AI's existential threat to humanity has led to philosophical movements, like Effective Altruism, to find ways to prevent AI takeover from happening.
So when is the humanity surrendering to GPT?
With GPT-4, ARC evaluated the model's ability to make high-level plans, acquire resources, hide itself on a server, and conduct phishing attacks.
Preliminary tests found GPT-4 to be "ineffective at autonomously replicating, acquiring resources, and avoiding being shut down 'in the wild'".
Great, all is well then ?
However, AI experts raised concerns over the experiment, as if GPT-4 had been successful, it could have posed a risk to humanity.
AI - 0, Humans - 1 🥇
❤️ Can AI perform better in assessing Heart
According to Cedars-Sinai investigators and their research AI proved superior in assessing and diagnosing cardiac function when compared with echocardiogram assessments made by sonographers.
Cardiologists made just 16.8% corrections to initial assessments of AI
Cardiologists made 27.2% corrections to initial assessments made by the sonographers
The physicians were unable to tell which assessments were made by AI or humans
So who won?
Humanity ofcourse, The AI assistance saved cardiologists and sonographers time.
Moral of the research: Embrace technology to your advantage, save time and life!
🍟 Quick AI BYTES for snacking
After Italy’s ban of GPT-4 now Germany considers ChatGPT ban
Biden calls on Tech firms to make AI products safe for society
AI will not steal jour job but it can change ways of working
Metaverse fashion week failed, but industry still bets big on Metavserse
Business analysts reaching limits with BI tools. Python is the way forward.
🧑💻 Learning of the week: MODELS
Human: Models? The fashion models of Metaverse week?
AI bot: Noo. The AI Model.
Human: Oh.. ofcourse AI stuff… After all this is AI newsletter !
Human: So what is this MODEL all about?
AI bot: A model is a mathematical representation of a real-world process or system, which is created by training a machine learning algorithm on a dataset to recognize patterns and make predictions or decisions. The model can then be used to analyze new data and make predictions or decisions based on what it has learned from the training data. The performance of a machine learning model is typically measured by its accuracy in predicting new data, and the goal is to create a model that is as accurate as possible while avoiding overfitting to the training data.
Human: 🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄🙄
Human: Explain so that a normal human being can understand. Please…
AI bot: Oops. Sorry, I often forget humans have limitations!
AI bot: Have you ever played a matching game where you have to match pairs of cards with the same pictures on them?
Human: Yes, I have played it.
AI bot: Imagine you have a bunch of pictures of animals, like cats and dogs, and you want to teach the computer how to tell them apart. You show the computer lots of pictures of cats and dogs, and tell it which ones are which.
After seeing enough examples, the computer learns to recognize the differences between cats and dogs all on its own! Then, when you show the computer a new picture of an animal, it can guess whether it's a cat or a dog based on what it's learned from the training pictures.
That's what we call a machine learning model - it's like a computer's memory that's been trained to recognize and classify things based on examples it's seen before.
Got it?
Human: Pretty cool, huh? Now it makes perfect sense 😇
🚀 Power Up for next Week
𝗙𝗲𝗲𝗹𝗶𝗻𝗴 𝘂𝗻𝗰𝗼𝗺𝗳𝗼𝗿𝘁𝗮𝗯𝗹𝗲 𝗶𝘀 𝗼𝗳𝘁𝗲𝗻 𝘀𝗲𝗲𝗻 𝗮𝘀 𝗸𝗶𝗹𝗹𝗶𝗻𝗴 📉
but
it can actually be the catalyst for problem-solving 📈
It's no secret that 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗼𝗳𝘁𝗲𝗻 𝗰𝗼𝗺𝗲𝘀 𝗳𝗿𝗼𝗺 𝗱𝗶𝘀𝗰𝗼𝗺𝗳𝗼𝗿𝘁 💡
Maybe it was a tight deadline or a challenging project that pushed you 𝗼𝘂𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗳𝗼𝗿𝘁 𝘇𝗼𝗻𝗲 😩
Whatever it was, you likely found that being uncomfortable ignited your mind
and
forced you to 𝘁𝗵𝗶𝗻𝗸 𝗼𝘂𝘁𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗯𝗼𝘅 to find a solution 😇
So the next time you find yourself in an uncomfortable situation, don't shy away from it.
𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗶𝘁 𝗮𝗻𝗱 𝗹𝗲𝘁 𝗶𝘁 𝗶𝗴𝗻𝗶𝘁𝗲 𝘆𝗼𝘂𝗿 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆.
Who knows what kind of breakthrough you might have? 💪
See your creative juices flowing again through “𝗧𝗵𝗲 𝗨𝗻𝗰𝗼𝗺𝗳𝗼𝗿𝘁𝗮𝗯𝗹𝗲” objects designed by 𝗞𝗮𝘁𝗲𝗿𝗶𝗻𝗮 𝗞𝗮𝗺𝗽𝗿𝗮𝗻𝗶
That's all we have for this week! Tell us how you feel by hit a reply or comment.
We love feedbacks 🫶
See you next week at 14:00 HKT / 06:00 GMT
