Haider. (@haider1)
@haider1
together, we build an intelligent future.
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Creator of C++, Bjarne Stroustrup:
AI-generated code isn't ready — it generates more bugs, more bloat, more security holes, and is nearly impossible to validate
"senior developers are already retiring rather than deal with it"
The problem is that even a small prompt change can shift the entire codebase in unpredictable ways
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Yann LeCun says that within a year to 18 months, we'll have a general method for training hierarchical world models
These models would learn from video and real-world data, then help plan actions in robotics, healthcare, and other areas
"then scale them toward a universal world model"
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Yann LeCun says LLMs are strongest in domains where language itself is the substrate of reasoning, like math and code
They can solve problems, prove theorems, and write programs — but they are not creative mathematicians, software architects, or computer scientists
"their role is to help humans build"
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Zuck seems desperate:
- meta $300m/4yr offer still isn't enough to poach some openAI top researchers
- zuck even pitched Mark Chen (oAI CRO) with a $1B offer
woah... that shows panic mode
and the level of resistance suggests openAI is working on something big
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Amjad Masad says true AGI means an AI that can enter new situations and quickly learn how to achieve goals
Even the latest models still struggle with tasks outside their training data.
The real breakthrough will come when AI can train itself -- like AlphaGo playing billions of games against itself
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