Your Car Can Talk. It Still Takes Orders.
Modern LLMs have made automotive voice control far more flexible, allowing drivers to speak naturally, correct themselves, and maintain context. Yet linguistic flexibility does not necessarily create conversational interaction. The next step is moving beyond smarter commands toward real-time, agentic systems that understand goals, adapt dynamically, and participate in genuine dialogue.
Prompts Are Programs
Andrej Karpathy's remark that "the hottest new programming language is English" has become one of the defining observations of the LLM era. I believe it is only half the story. The more interesting question is not whether English is becoming a programming language, but what kind of programming language it is.
The Last Expensive Resource
Every technological revolution makes a once-scarce resource abundant. Steam reduced the cost of muscle, computers the cost of calculation, and the internet the cost of communication. AI may be doing the same for practical reasoning: as the computational cost of machine reasoning falls, the organizational cost of human reasoning may fall with it.
Your Car Can Talk. It Still Takes Orders.
Modern LLMs have made automotive voice control far more flexible, allowing drivers to speak naturally, correct themselves, and maintain context. Yet linguistic flexibility does not necessarily create conversational interaction. The next step is moving beyond smarter commands toward real-time, agentic systems that understand goals, adapt dynamically, and participate in genuine dialogue.
Prompts Are Programs
Andrej Karpathy's remark that "the hottest new programming language is English" has become one of the defining observations of the LLM era. I believe it is only half the story. The more interesting question is not whether English is becoming a programming language, but what kind of programming language it is.
The Last Expensive Resource
Every technological revolution makes a once-scarce resource abundant. Steam reduced the cost of muscle, computers the cost of calculation, and the internet the cost of communication. AI may be doing the same for practical reasoning: as the computational cost of machine reasoning falls, the organizational cost of human reasoning may fall with it.
How to Get Rich with AI (Fast)
Search for AI business ideas and you’ll drown in the same recycled suggestions everyone else gets. That’s not where fortunes are made. The real opportunity isn’t finding another application for AI. It’s discovering problems that nobody even realized were AI problems in the first place.
“AI does not create value”
On the surface, this statement appears to be indefensible. Around the world, companies are injecting billions of dollars into AI precisely because they expect to see value creation—increased efficiency, smarter decisions, innovative products. Yet, the claim holds an important truth. AI does not create value merely by existing.
If AI Isn’t Intelligent, Are We?
Dismissing AI as non-intelligent may feel safe, but it carries a hidden implication: much of what humans do might not qualify either. The debate exposes a deeper tension—not about machines, but about how fragile, flexible, and perhaps self‑serving our definition of intelligence really is in practice, especially when it threatens our sense of uniqueness.
Your Car Can Talk. It Still Takes Orders.
Modern LLMs have made automotive voice control far more flexible, allowing drivers to speak naturally, correct themselves, and maintain context. Yet linguistic flexibility does not necessarily create conversational interaction. The next step is moving beyond smarter commands toward real-time, agentic systems that understand goals, adapt dynamically, and participate in genuine dialogue.
Prompts Are Programs
Andrej Karpathy's remark that "the hottest new programming language is English" has become one of the defining observations of the LLM era. I believe it is only half the story. The more interesting question is not whether English is becoming a programming language, but what kind of programming language it is.
The Last Expensive Resource
Every technological revolution makes a once-scarce resource abundant. Steam reduced the cost of muscle, computers the cost of calculation, and the internet the cost of communication. AI may be doing the same for practical reasoning: as the computational cost of machine reasoning falls, the organizational cost of human reasoning may fall with it.
How to Get Rich with AI (Fast)
Search for AI business ideas and you’ll drown in the same recycled suggestions everyone else gets. That’s not where fortunes are made. The real opportunity isn’t finding another application for AI. It’s discovering problems that nobody even realized were AI problems in the first place.
“AI does not create value”
On the surface, this statement appears to be indefensible. Around the world, companies are injecting billions of dollars into AI precisely because they expect to see value creation—increased efficiency, smarter decisions, innovative products. Yet, the claim holds an important truth. AI does not create value merely by existing.
If AI Isn’t Intelligent, Are We?
Dismissing AI as non-intelligent may feel safe, but it carries a hidden implication: much of what humans do might not qualify either. The debate exposes a deeper tension—not about machines, but about how fragile, flexible, and perhaps self‑serving our definition of intelligence really is in practice, especially when it threatens our sense of uniqueness.