With predictions that AGI with human-level cognitive abilities will emerge within a few years, strategies by global IT leaders to safely control and gradually integrate it into society are taking shape.
Have you ever sat in a cafe with a friend and imagined, “Wouldn’t it be great if AI could understand my work, email the right people, and create perfect results without me even asking?” or “How would the world change if something like Iron Man’s ‘Jarvis’ actually appeared?”
These imaginations might not be fantasies of the distant future anymore. Recently, in the AI industry, the term AGI (Artificial General Intelligence) has been at the center of every discussion. Today, I’ll explain in a friendly and easy-to-understand way how world-class AI companies like Google DeepMind and OpenAI are preparing for this ‘smart AI,’ and what we should be ready for.
Why is this important?
The ChatGPT or Google Gemini we use today are very smart, but they are still closer to ‘passive’ assistants that only give answers when we ask questions. However, AGI is on a completely different level.
AGI refers to artificial intelligence that demonstrates abilities equal to or greater than humans in most intellectual tasks, rather than just specific fields. Taking a responsible path to AGI — Google DeepMind Taking a responsible path to AGI – LifeboatNews: The Blog Simply put, it means AI will be able to judge and perform the thinking, planning, and execution processes we do every day. The surprising part is that experts predict such technology could become our reality within a few years. Taking a responsible path to AGI — Google DeepMind
This is important because the ‘speed of resolution’ in our lives will completely change. To use an analogy, if until now we held the tools and dug the ground ourselves, now it’s like we only need to explain the reason why the ground needs to be dug, and the AI will bring a bulldozer on its own to finish the job. New drug development or solving complex climate change issues that would take decades could be solved magically in just a few months. On the other hand, if such powerful intelligence that is difficult to control moves in the wrong direction, it could pose a great threat to humanity.
Understanding Easily: AGI and ‘Agentic’ AI
If the term AGI is still unfamiliar, let’s compare it to two roles we might encounter in daily life.
1. The ‘Universal Chef’ beyond recipes (AGI)
If today’s AI is a specialized cook who has learned specific recipes (data) like ‘how to boil ramen’ or ‘how to make pasta’ very well, AGI is like a ‘Universal Chef who can create a new dish perfectly suited to a customer’s mood and health status just by looking at the remaining ingredients in the refrigerator.’ This is because it can flexibly perform almost all intellectual judgments that humans do, rather than just finding fixed answers. Taking a responsible path to AGI — Google DeepMind
2. The ‘Smart Proxy’ that handles things on its own (Agentic Capabilities)
The key to AGI gaining powerful ‘hands and feet’ is ‘Agentic Capabilities.’ Agentic means the autonomous nature of an AI to understand goals on its own, reason, and move into action by creating specific plans. Taking a responsible path to AGI — Google DeepMind
Imagine for a moment. You tell your AI, “Plan a family vacation for me.” Today’s AI stops at listing restaurant lists and hotel information. However, an AI with agentic capabilities will ‘execute on its own’ by checking your budget, comparing flight prices in real-time to make payments, receiving restaurant reservation confirmation messages, and registering all schedules in your calendar. We are entering an era where you only need to say “thank you.” Taking a responsible path to AGI — Google DeepMInd
Current Situation: Not a matter of ‘If,’ but ‘When and How’
In the past, people debated “Is human-like AI even possible?” Now, the industry’s focus has completely shifted to “Around when will it be completed, and how can we manage it safely without accidents?” Responsible AGI
| To implement such immense intelligence, equipment beyond imagination is required. In fact, according to data analyzing early-stage AGI technology, tens of thousands of NVIDIA’s top-tier graphics processing units, H100 GPUs (chips that act as the computer’s brain), are being deployed. [AGI Level 1 ‘Creative/Linguistic Intelligence’ Actual Implementation | Brunch](https://brunch.co.kr/@seawolf/35) It’s like a massive project combining thousands of engines to launch a giant rocket to Mars. |
In response, Google DeepMind recently released a sort of operating manual through a report titled ‘A Responsible Path to AGI.’ DeepMind’s AGI Safety Playbook and What It Means for the World This report doesn’t just boast about technical prowess; it contains strategic guidelines on how to manage and control this powerful ‘intellectual tool’ so it doesn’t run wild. DeepMind’s AGI Safety Playbook and What It Means for the World New Pathways to Responsible AGI: Safe AI… - Linkdood Technologies
What will happen next? Gradual Changes and Safety Devices
Experts agree that AGI won’t suddenly drop from the sky one morning, but will soak into our lives step by step, like clothes getting wet in a drizzle.
1. “A ‘Slow Revolution’ that gives society time to adapt”
OpenAI emphasizes that the transition to AGI should be a ‘gradual change rather than a sudden shock.’ Planning for AGI and beyond | OpenAI This is because too rapid a change can cause confusion in social systems. As technology advances one step, society takes time to refine its laws and ethics accordingly. Planning for AGI and beyond | OpenAI This is the same logic as someone who just got their driver’s license not going straight onto the highway, but practicing enough in a safe parking lot before slowly heading out to wider roads.
2. “ ‘Strong Regulations’ beyond promises”
There are also significant concerns that it’s not enough for companies to simply say, “We will develop this kindly.” Experts like Saeed Al Dhaheri argue that for responsible AI governance (management and control systems), ‘mandatory policies and international regulations’ are absolutely necessary, rather than voluntary promises from companies. Taking a responsible path to AGI | Saeed Al Dhaheri
3. “ ‘Absolute Locks’ mathematically secured”
Technically, some voices call for building ‘mathematically provable isolation and control’ systems to ensure AI doesn’t escape human control. Google DeepMind… "Taking a responsible path to AGI"… We hope so? It’s not just about believing it was “made safely,” but about applying a ‘mathematical lock’ from the design stage so the system cannot cross the line under any circumstances. Google DeepMind… "Taking a responsible path to AGI"… We hope so?
AI’s Perspective: Through the Eyes of MindTickleBytes’ AI Reporter
The journey toward AGI is like an unknown frontier that humanity has never experienced. Behind the brilliant technical achievements shown by Google DeepMind and OpenAI lies a very heavy homework called ‘responsibility.’ Taking a responsible path to AGI- Solega Blog Taking a responsible path to AGI – ONMINE Whether artificial intelligence becomes humanity’s most reliable companion or an entity beyond our control eventually depends on what kind of ‘safe blueprint’ we draw now.
References
- Taking a responsible path to AGI — Google DeepMind
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[Planning for AGI and beyond OpenAI](https://openai.com/index/planning-for-agi-and-beyond/) - Taking a responsible path to AGI- Solega Blog
- Taking a responsible path to AGI – ONMINE
- Taking a responsible path to AGI – LifeboatNews: The Blog
- Responsible AGI - LinkedIn
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[AGI Level 1 ‘Creative/Linguistic Intelligence’ Actual Implementation Brunch](https://brunch.co.kr/@seawolf/35) - DeepMind’s AGI Safety Playbook and What It Means for the World
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[Taking a responsible path to AGI Saeed Al Dhaheri - LinkedIn](https://www.linkedin.com/feed/update/urn:li:share:7313446026114228224) - Google DeepMind… “Taking a responsible path to AGI”… We hope so?
- New Pathways to Responsible AGI: Safe AI… - Linkdood Technologies
- Generative AI
- Artificial General Intelligence (AGI)
- Narrow AI
- Agentic capabilities
- Data learning ability
- Image generation ability
- Rapid and disruptive transition
- Completely blocking technology disclosure
- Gradual and phased transition