This NEW AI Is Teaching Other AIs 🤖📚 | Is This Approximate AGI?! 😱 | AI Revolution - video Dailymotion

Ai Revolution

🧠 This changes everything. In today’s episode of AI Revolution, we reveal a new AI model that’s not just learning — it’s teaching other AIs how to learn, adapt, and improve. This might be our closest step yet to Approximate AGI (Artificial General Intelligence). 🚨  💡 How does this self-teaching system work? ⚙️ What makes it radically different from standard models like GPT, Claude, or Gemini? 🌐 What are the ethical and global implications of AIs building better AIs?  This is no longer theoretical — it’s happening now.  🔔 Like, comment & subscribe for weekly breakdowns of the most important tech shifts shaping our future.  #AIRevolution #AGI #ArtificialGeneralIntelligence #SelfLearningAI #TeachingAI #AIUpdate #NextGenAI #FutureOfAI #MachineLearning #MetaLearning #AIModels #TechNews #AIInnovation #AIExplained #SmartAI #AIAdvancements #AGIBreakthrough #ArtificialIntelligence #AITrends #AI2025

Transcript

00:00At the University of Geneva, Unage, a team of researchers has achieved a groundbreaking milestone in AI technology.

00:08They've developed a new model that can perform a uniquely human-like function,

00:12understanding tasks through verbal or written instructions,

00:15and then effectively communicating these tasks to other AI systems.

00:19This breakthrough tackles a long-standing challenge in AI,

00:23representing a significant advance in the field's capabilities.

00:27Typically, AI systems have been adept at processing large amounts of data

00:31and carrying out complex computations with ease.

00:34However, where they've consistently lagged is in performing tasks that come naturally to humans,

00:39such as learning a new task from straightforward instructions and then explaining that task so others can replicate it.

00:45The ability to not only grasp complex instructions, but also communicate them effectively,

00:50has been a hallmark of human intelligence, distinguishing us from machines.

00:54Until now, that is.

00:56The progress made by the Unage team extends beyond simple task execution.

01:00They've ventured into the realm of advanced human-like linguistic generalization,

01:04creating an AI model that can absorb instructions, execute the described tasks,

01:09and then engage in a dialogue with a sister AI to relay the process in linguistic terms.

01:14This development opens up new avenues in AI, particularly in enhancing human-AI interaction in the field of robotics,

01:20where effective communication is key.

01:22Traditionally, AI's struggle has been with replicating the complex cognitive abilities that humans possess,

01:28such as learning from minimal instruction and then articulating that learning.

01:31Human cognitive skills are deeply integrated into our neurocognitive systems, enabling us to quickly understand instructions

01:38and communicate our understanding to others in a clear and coherent manner.

01:42AI systems, in contrast, have needed extensive datasets and iterative learning processes to master specific tasks.

01:48The intuitive grasp of a task and the subsequent articulation of its process have remained out of reach for AI.

01:54This limitation underscores the challenges with current AI models, which are bound by their programmed algorithms and training data.

02:01Their ability to extrapolate or infer beyond their training is limited,

02:06constraining AI's potential to adapt to new scenarios or communicate insights in a manner similar to humans.

02:13Now, the UNIGI study marks a significant step in overcoming these limitations.

02:18By engineering an AI model that can both understand tasks from instructions and communicate these tasks to another AI entity,

02:27the team has showcased a pivotal advancement in AI's cognitive and linguistic abilities.

02:32This suggests a future where AI can mimic human-like learning and communication more closely,

02:37paving the way for applications that require dynamic interactivity and adaptability.

02:42Natural Language Processing, NLP, is at the core of bridging the gap between human language comprehension and AI.

02:49It enables machines to understand, interpret, and respond to human language in a meaningful manner.

02:55NLP focuses on the interaction between computers and humans using natural language,

02:59striving to decipher and make sense of human languages in a valuable way.

03:03The essence of NLP lies in its capability to process and analyze vast amounts of natural language data.

03:09This isn't limited to understanding words in a literal sense, but extends to comprehending the context, sentiment,

03:15and even the nuances implied within the language.

03:19By leveraging NLP, AI systems can undertake a variety of tasks,

03:22from translation and sentiment analysis to engaging in complex conversations.

03:27At the heart of this advancement in NLP is the development of artificial neural networks,

03:31inspired by the neural pathways in the human brain.

03:34These networks emulate the way our neurons transmit signals,

03:37processing information through a web of interconnected nodes.

03:41This design allows neural networks to learn from input data, improving over time,

03:46akin to how the human brain learns from experiences.

03:49The UniGE team's approach to AI communication began with the integration of an existing artificial neural model,

03:55SBIRT, renowned for its language comprehension capabilities.

03:59They connected SBIRT, which consists of 300 million neurons pre-trained on language understanding,

04:04to a smaller neural network.

04:06This smaller network was designed to mimic specific areas of the human brain responsible for language processing and production,

04:13namely Wernicke's area and Broca's area.

04:16Wernicke's area is crucial for understanding language,

04:18while Broca's area is pivotal for speech production and language processing.

04:22Combining these networks aim to replicate the complex interaction between human brain regions responsible for language.

04:29The initial phase of training focused on simulating Wernicke's area,

04:33enhancing the network's capacity to perceive and interpret language.

04:37The subsequent phase involved training to mimic Broca's area's functions,

04:41enabling the AI to produce and articulate language.

04:44Impressively, this entire process utilized conventional laptop computers,

04:48highlighting the model's accessibility and potential for widespread application.

04:52The experiment conducted by the Unigy team involved inputting written instructions in English into the AI,

04:58which then had to execute the specified tasks.

05:01These tasks varied in complexity, from simple actions like pointing to a location in response to a stimulus

05:07to more complex activities involving discerning and responding to subtle differences in visual stimuli.

05:13The AI model simulated actions like pointing, mirroring human responses to similar tasks.

05:18Remarkably, after mastering these tasks, the AI was capable of linguistically describing them to a second network,

05:26which was an identical copy of the first.

05:28This second network, upon receiving the verbal or written instructions,

05:32successfully carried out the tasks as described.

05:35This interaction represents a significant achievement in AI development,

05:39marking the first instance where two AI systems have communicated with each other purely through the language

05:44to convey and replicate tasks.

05:46The ability for one AI to instruct another in completing tasks through linguistic communication alone

05:51heralds a new era of AI interactivity and cooperation.

05:54This big AI breakthrough isn't just exciting for scientists,

05:58it's going to make a lot of things better in areas like robots, customer service, teaching, and healthcare.

06:03By building on what the Unigy team started, we could see AI that really gets us

06:07and can chat more like a person, making our experiences with technology way better.

06:11Alright, don't forget to hit that subscribe button for more updates.

06:15Thanks for tuning in, and we'll catch you in the next one.

This NEW AI Is Teaching Other AIs 🤖📚 | Is This Approximate AGI?! 😱 | AI Revolution

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