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Rethinking AI: GPT-5 Shortcomings, Scaling Limits, and New Paths Beyond Superintelligence Hype | Cognitive Science Inspired Solutions Key Takeaways GPT-5's launch exposed fundamental flaws  in current AI architecture, including router failures that prioritized cost savings over performance, leaving users with inconsistent quality . Transformer models hit scalability limits  - new research shows chain-of-thought reasoning becomes "a brittle mirage" when pushed beyond training data, confirming architectural ceilings . Cognitive science-inspired approaches  like Diamond AI offer promising alternatives with transparent, modifiable knowledge bases and real-time learning without massive compute requirements . Practical solutions exist now  - organizations are adopting multi-model strategies that combine specialized tools rather than relying on single general-purpose models . The GPT-5 Letdown: What Actually Happened at Launch So I've been working with AI systems since the ...

AI Scaling Limits: GPT-5 Capabilities, Post-Training Future & Hype vs Reality Key Takeaways The AI industry's scaling law promise has hit a wall , bigger models don't automatically mean better performance GPT-5 delivered underwhelming results despite massive expectations and resources Companies are pivoting from building larger models to refining existing ones through post-training methods AI reasoning capabilities remain fragile and collapse under complex scenarios The revolutionary AI transformation may be more hype than reality The Death of Scale: When Bigger Stopped Being Better The tech bros had it all figured out. More data, bigger models, infinite progress. That was the promise back in 2020 when OpenAI dropped their scaling law paper like gospel. The math looked clean on paper , neural networks would grow exponentially smarter with each doubling of parameters and training data. Three years later, we're staring at the wreckage of that dream. GPT-3 to GPT-4 ...

Key Takeaways Sam Altman warns of an imminent AI-driven fraud crisis, citing voice authentication as critically vulnerable . Financial institutions still using voiceprints for authentication are called "crazy" by Altman; AI can now flawlessly clone voices and soon video . The FBI confirms AI voice scams are already targeting parents and officials, including impersonations of Marco Rubio . Altman advocates for "proof of human" tools like The Orb by Tools for Humanity and urges overhauled authentication systems . Regulatory gaps persist: 85% of countries lack AI policies, while the EU’s AI Act imposes fines up to 7% of global turnover for violations . Voiceprints Are Dead Sam Altman stood at the Federal Reserve on Tuesday. He told bankers and regulators something obvious. Voice authentication is suicide. Financial institutions still use voiceprints to move money. Say a phrase. Prove you’re you. Altman called it crazy. AI kills that method. It kills it dead. He knows. ...