Uploaded July 2026 | Updated September 2026, 2 weeks ago
At #FTC2025, Wojciech Samek unpacked one of AI's biggest mysteries: what's really happening inside a large language model?
From attention heads to hidden reasoning, the session explored how researchers are beginning to trace where AI gets its information, how it processes context, and why understanding these internal mechanisms is critical for building trustworthy systems.
As AI becomes more powerful, transparency is no longer a luxury—it's a necessity. If we can't explain how AI reaches its conclusions, can we truly rely on its decisions? The future of responsible AI depends on making these "black boxes" more interpretable, controllable, and accountable.
Catch the full discussion on our YouTube channel.
#FTC2025 #WojciechSamek #ExplainableAI #XAI #ArtificialIntelligence #LLM #LargeLanguageModels #MachineLearning #AIResearch #ResponsibleAI #AITransparency #AttentionMechanism #FutureOfAI #DeepLearning #TechConference
At #FTC2025, Wojciech Samek unpacked one of AI's biggest mysteries: what's really happening inside a large language model?
From attention heads to hidden reasoning, the session explored how researchers are beginning to trace where AI gets its information, how it processes context, and why understanding these internal mechanisms is critical for building trustworthy systems.
As AI becomes more powerful, transparency is no longer a luxury—it's a necessity. If we can't explain how AI reaches its conclusions, can we truly rely on its decisions? The future of responsible AI depends on making these "black boxes" more interpretable, controllable, and accountable.
Catch the full discussion on our YouTube channel.
#FTC2025 #WojciechSamek #ExplainableAI #XAI #ArtificialIntelligence #LLM #LargeLanguageModels #MachineLearning #AIResearch #ResponsibleAI #AITransparency #AttentionMechanism #FutureOfAI #DeepLearning #TechConference
