#AIforBeginners

TuxAcademyTuxAcademyAdmin
2025-06-16

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2025-06-09

Just published: 'The Sentient Machine' key takeaways for beginners! Explore AI's potential, its reflection of humanity, and the ethical considerations we face. ctnet.co.uk/the-sentient-machi #AIEthics #FutureofAI #AIforBeginners

AI reflecting back humanity.
Dr. Thompsonrogt_x1997
2025-05-29

💡 Tired of juggling endless tasks, tabs, and to-dos?

🔍 Discover how a $0.10 assistant inside Notion is helping creators, solopreneurs & beginners reclaim 7+ hours a week — without writing a single line of code. 🧠📅⚡

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medium.com/@rogt.x1997/how-thi


medium.com/@rogt.x1997/how-thi

Ankit BytecodeAnkitBytecode
2025-04-15

🚀 Just passed 12th class? It’s the perfect time to dive into the world of Machine Learning! Here are powerful reasons to start your ML journey early and future-proof your career.

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Why Choose a Machine Learning Course After 12th Class?
Sanjay Mohindroosmohindroo1@vivaldi.net
2025-01-26

Generative AI is transforming industries! Learn how this revolutionary technology works and how you can leverage its power for creativity and innovation. #GenerativeAI #ArtificialIntelligence #CreativityInTech #AIForBeginners
medium.com/@sanjay.mohindroo66

Divining AIdiviningai
2024-08-10

Free AI Courses
Our Free series promotes free AI courses everyday across various levels and disciplines.

From beginner upwards, there's something for you!

Day 3: AI for Everyone Master Class (IBM)
edx.org/learn/artificial-intel

Divining AIdiviningai
2024-08-09

Free AI Courses
Our Free series promotes free AI courses everyday across various levels and disciplines.

From beginner upwards, there's something for you!

Day 2: Generative AI Explained (NVIDIA)
learn.nvidia.com/courses/cours

Divining AIdiviningai
2024-08-08

Free AI Courses
Our Free series promotes free AI courses everyday across various levels and disciplines.

From beginner upwards, there's something for you!

Day 1: Introduction to AI in the Data Center (Coursera)
coursera.org/learn/ai-infrastr

Jack Franklinjackfhession
2024-06-29

I was thinking - if anybody here is trying to get into AI or wants to build an NLP chatbot in Python, I made this Python library ages ago which allows you to build your own chatbot!! (relies on PyTorch) github.com/JackFHession/Janex-

TalkBitztalkbitz
2024-05-02

If you want to learn AI, these 5 free courses are a must-see!
🔗👉 social.talkbitz.com/jpe9u

Webappiawebappia
2023-06-27

An AI Guide: Understanding the Concept of Artificial Intelligence 

Hashtags: Summery: AI, or artificial intelligence, is a revolutionary technology that has become an integral part of the IT ecosystem. It is used in various consumer applications and enterprise software to automate tasks, streamline operations, gather insights, and more. But what exactly is AI? In simple terms, AI allows computers to behave like humans and…

webappia.com/an-ai-guide-under

Raef Meeuwisse :verified:raef@infosec.exchange
2023-05-21

Why "AI Guardrails" Is A Dangerous Myth

In the bustling field of AI, we often hear the term "Guardrails." Coined to encapsulate the set of principles, policies, and safeguards meant to ensure AI's ethical, safe, and responsible usage, the term is fast becoming a buzzword. However, this terminology risks perpetuating a dangerous myth by oversimplifying the vast complexities involved in keeping AI systems within responsible bounds.

AI is not programmed – it is trained. There is no command console where instructions can be entered. Instead, humans have to carefully nudge the training in ways that “align” AI models to embrace desired behaviors.

All that training data is also an issue. Humans lack the bandwidth or impartiality to take the bias out of all the data an AI may train on.

Unraveling the AI Guardrail Myth

The inherent metaphor of a "guardrail" suggests a solid, fixed structure that guides and restricts the movement of a vehicle, preventing it from straying off course. Applied to AI, it implies that it is possible to predict, predefine, and constrain the range of behaviors an AI system might exhibit - an oversimplification that obscures the reality of the matter.

AI is not a car on a pre-charted highway; it is more like a ship sailing in the open sea, subject to changing winds, unpredictable currents, and unforeseen storms. In AI terms, more akin to millions of different perspectives, large amounts of unpleasant data, …

The Cognitive Bias Trap

The term "AI Guardrails" triggers a cognitive bias known as the "labeling effect," which can lead us to overestimate the extent to which complex phenomena can be encapsulated by simple labels. In this case, it can give the false impression that ensuring AI safety is as straightforward as erecting a physical barrier on a road, which could lead to complacency and underestimate the importance of continued vigilance and adaptability in AI safety measures.

Moreover, the term also creates a bogus inherent metaphorical association, linking AI safety with a physical, tangible infrastructure like guardrails. This can mask the less tangible but crucial aspects of AI safety, like ethical considerations, algorithmic bias, and the intricacy of machine learning models.

The term "Guardrails" may have been coined with good intentions, but the metaphor risks promoting a dangerous oversimplification of the complexities and efforts involved in ensuring AI safety.

As we navigate the vast and stormy seas of AI innovation, we need to think beyond guardrails and work towards a more nuanced, adaptive, and holistic approach to AI safety.

Our #AI future safety deserves more than a flawed and misrepresentative label.

Reposts appreciated.

Artificial Intelligence for Beginners
Paperback hardcover live to order from today
US: amazon.com/dp/B0BZ58JHGD
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#ArtificialIntelligence #AIFuture #Creativity #Innovation #AIandHumanity #AIBook #AIforBeginners #ChatGPT #GenerativeAI #OpenAI

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