Explore the real-world applications of computer vision in robotics that are driving unprecedented advancements in manufacturing precision and healthcare outcomes in 2025.
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What if AI doesn't deliver on the hype? What if we hit limits? What if the current AI boom is another bubble that crashes? It's possible. Here's what it would look like.
Current assumption: Bigger models = better performance (always)
Reality: Maybe there are limits
If true: Progress stalls, capability ceiling hit
Problem: Each new model requires exponentially more compute
Current: GPT-3 cost $50M to train
Future: Each new model costs 10x more
Eventually: Cost exceeds value gained
Issues: Hallucinations, bias, lack of reasoning
Problem: Might not be solvable with current approaches
If true: Progress stops at plateau
If: AI causes major failures, harms
Result: Heavy regulation, slowed development
Timeline: 2026-2028 if major failure
Pattern: Hype rises, reality disappoints, investment crashes
History: AI winters happened before (1970s, 1990s)
Could happen again
Expectations unmet (AI promised X, delivered Y)
Stock prices flat/declining for AI companies
Venture funding slowing
Skepticism rising
Major AI failure (autonomou car crash, medical misdiagnosis)
Regulatory crackdown
Venture capital flees (looking for next hot thing)
AI startups struggling
AI winter in effect (reduced investment)
Large companies maintain investment (core business)
Startups mostly dead
Perception: AI hype, not reality
AI continues improving (but slower)
Eventually leads to next breakthrough
Cycle repeats
Promises exceeded capabilities, funding dried up
Led to recovery later (1990s)
Expert systems didn't deliver, market crashed
Led to recovery with deep learning (2010s)
AI booms, fails to deliver, crashes, recovers later
Could happen again
AI Winter by 2030: 30-40% probability
Full collapse: 10% probability
Severe slowdown: 50-60% probability
History shows AI has boom-bust cycles. We could hit that pattern again. Most likely: Slowdown rather than crash. But full winter possible if major failures occur or scaling laws plateau.
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