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Learn AI With Kesse | Newest Trends in Artificial Intelligence

We answer questions about artificial intelligence and bring you what's new in the AI World.

The Dawn of AI Rethinking Intelligence and Our Future

3 min read

The race towards artificial superintelligence isn’t just a sci-fi dream anymore. It’s unfolding in real-time, bringing groundbreaking changes to our understanding of technology and intelligence.

Ilos Husk, a leading figure in AI, recently shared revolutionary insights into the future of AI. His thoughts could transform how we perceive human intelligence and our species’ destiny.

The End of an Era: Pre-Training Paradigm Shift

Pre-training, a cornerstone of current AI systems, is nearing its end according to leading experts. This shift might completely alter how AI models are trained, ushering in a new era in technology.

Massive text-based pre-training has driven AI progress, but as we reach the data’s peak, new methods are essential. This transformation raises questions about upcoming models and adapting strategies.

Embracing the Future: Agents in AI

Agents are set to revolutionize the AI landscape. Unlike present systems, future AI is expected to act independently, reasoning and making decisions without human prompts.

Emerging agentic AI could collaborate with humans in significant ways, adapting and solving real-world issues autonomously. This marks a massive leap, making technology interactive and dynamic.

Personal AI assistants might soon handle tasks independently, conduct extensive research, and solve complex problems without supervision.

The Magic of Synthetic Data

Synthetic data offers a promising solution to the limitations of real-world datasets. Generating high-quality artificial data can unlock new AI capabilities.

Synthetic datasets simulate real-world properties through simulations or models, providing new training materials for AI systems.

Such data could prove crucial for training AI in scenarios that are too rare in reality, like certain medical diagnoses or autonomous driving conditions.

Breaking the Brain-Body Barrier

In nature, larger bodies generally mean larger brains, but human ancestors defied this trend, hinting at new ways to enhance intelligence.

AI may need to replicate this evolutionary leap to exceed its current scaling limits, just as biology found a new scaling rule for human intelligence.

Building on this analogy, AI researchers are challenged to devise intelligent systems beyond traditional methods, just as evolution did with hominids.


The Rise of Reasoning in AI

Current language models exhibit extraordinary capabilities but are still unreliable. The next step is achieving genuine reasoning abilities in AI systems.

Reasoning leads to unpredictability, unlike predictable deep learning. Systems that emulate human-like intuition and decision-making may change that.

As AI evolves, it could become self-aware, developing unique goals and understanding its place in the world.

Superintelligence: A New Frontier

Future superintelligent systems might go beyond being tools, acting on their initiatives with distinct goals.

These systems will reason and solve problems autonomously, interpreting data and making sound decisions in complex situations.

We could witness AI with profound intelligence that understands concepts deeply, potentially surpassing human capabilities.

The Hallucination Dilemma in AI

Addressing AI hallucinations is crucial for its reliable application in critical fields.

Experts believe future models will self-correct these hallucinations, paving the way for wider AI deployment across different industries.

Solving this reliability issue will drastically change AI’s role in safety-critical applications.

Beyond Current Limits: In-Distribution Generalization

AI’s ability to generalize solutions beyond its training data mimics human adaptability.

If AI can solve unseen problems with limited data, it will redefine its potential, moving beyond reliance on extensive datasets.

Such ability will make AI self-sufficient, solving challenges beyond human contemplation.

Endless Possibilities

We are at the brink of an AI evolution where models do more than mimic humans; they innovate in ways we haven’t imagined.

From autocorrecting mistakes to mastering out-of-distribution challenges, AI’s capabilities are set to transform drastically in future phases.


The future of AI promises an incredible journey beyond our current understanding. With new methodologies, reasoning capabilities, and superintelligent systems, our relationship with technology is set for an exciting transformation.

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