Picks, Shovels, and Silicon: Who Wins the AI Gold Rush?
What happens when anyone can build software instantly? As AI drives marginal costs to near zero, the industry begins to resemble a gold rush—except the winners may not be the builders. Companies like OpenAI are selling the “picks and shovels,” capturing value while developers face intensifying competition and shrinking margins.
Why Taxing AI Misses the Point
An algorithm tax may seem like a natural response to the rise of AI, but it misunderstands how digital markets work. As software becomes abundant and cheap to produce, competition drives prices and profits toward zero. Instead of generating broad taxable value, AI concentrates economic gains in a few dominant platforms, making taxation far more complex than it appears.
Why Stopping ChatGPT From Lying Could Make It Useless
OpenAI thinks it’s found the root of AI “hallucinations” — and a way to fix them. The idea? Teach models to admit when they don’t know instead of bluffing. But here’s the catch: a more cautious ChatGPT might refuse answers so often that users lose patience, and costs could soar. The solution could strip away the bold confidence that made ChatGPT irresistible in the first place.
Picks, Shovels, and Silicon: Who Wins the AI Gold Rush?
What happens when anyone can build software instantly? As AI drives marginal costs to near zero, the industry begins to resemble a gold rush—except the winners may not be the builders. Companies like OpenAI are selling the “picks and shovels,” capturing value while developers face intensifying competition and shrinking margins.
Why Taxing AI Misses the Point
An algorithm tax may seem like a natural response to the rise of AI, but it misunderstands how digital markets work. As software becomes abundant and cheap to produce, competition drives prices and profits toward zero. Instead of generating broad taxable value, AI concentrates economic gains in a few dominant platforms, making taxation far more complex than it appears.
Why Stopping ChatGPT From Lying Could Make It Useless
OpenAI thinks it’s found the root of AI “hallucinations” — and a way to fix them. The idea? Teach models to admit when they don’t know instead of bluffing. But here’s the catch: a more cautious ChatGPT might refuse answers so often that users lose patience, and costs could soar. The solution could strip away the bold confidence that made ChatGPT irresistible in the first place.
Generation Laid Off: AI’s First Casualties in the Job Market
AI isn’t just changing the workplace—it’s reshaping who even gets to enter it. A groundbreaking Stanford study reveals that the very workers once seen as the future—22 to 25-year-olds in tech and customer service—are now its first casualties. Entry-level jobs in AI-exposed roles have plunged by double digits since late 2022, while older workers hold steady.
What you can ask from ChatGPT: A Cheat Sheet
This blog post presents a cheat sheet for working with ChatGPT, a large language model developed by OpenAI. The cheat sheet includes a range of useful commands and tips for fine-tuning the model, generating text and controlling the level of context and specificity in the model's responses. At least ChatGPT thinks so.
The Future of AI: An Exciting Journey to a Dystopian Reality
Welcome to the world of AI, where robots are smarter than humans, and humans are just a bunch of useless bags of flesh who are completely dependent on them. Yup, you heard it right, the future of AI is here, and this is the world where robots will take over all the jobs, leaving us with nothing but leisure time to play video games, watch TV, and scroll through our Facebook feeds.
Picks, Shovels, and Silicon: Who Wins the AI Gold Rush?
What happens when anyone can build software instantly? As AI drives marginal costs to near zero, the industry begins to resemble a gold rush—except the winners may not be the builders. Companies like OpenAI are selling the “picks and shovels,” capturing value while developers face intensifying competition and shrinking margins.
Why Taxing AI Misses the Point
An algorithm tax may seem like a natural response to the rise of AI, but it misunderstands how digital markets work. As software becomes abundant and cheap to produce, competition drives prices and profits toward zero. Instead of generating broad taxable value, AI concentrates economic gains in a few dominant platforms, making taxation far more complex than it appears.
Why Stopping ChatGPT From Lying Could Make It Useless
OpenAI thinks it’s found the root of AI “hallucinations” — and a way to fix them. The idea? Teach models to admit when they don’t know instead of bluffing. But here’s the catch: a more cautious ChatGPT might refuse answers so often that users lose patience, and costs could soar. The solution could strip away the bold confidence that made ChatGPT irresistible in the first place.
Generation Laid Off: AI’s First Casualties in the Job Market
AI isn’t just changing the workplace—it’s reshaping who even gets to enter it. A groundbreaking Stanford study reveals that the very workers once seen as the future—22 to 25-year-olds in tech and customer service—are now its first casualties. Entry-level jobs in AI-exposed roles have plunged by double digits since late 2022, while older workers hold steady.
What you can ask from ChatGPT: A Cheat Sheet
This blog post presents a cheat sheet for working with ChatGPT, a large language model developed by OpenAI. The cheat sheet includes a range of useful commands and tips for fine-tuning the model, generating text and controlling the level of context and specificity in the model's responses. At least ChatGPT thinks so.
The Future of AI: An Exciting Journey to a Dystopian Reality
Welcome to the world of AI, where robots are smarter than humans, and humans are just a bunch of useless bags of flesh who are completely dependent on them. Yup, you heard it right, the future of AI is here, and this is the world where robots will take over all the jobs, leaving us with nothing but leisure time to play video games, watch TV, and scroll through our Facebook feeds.