Well, the best answer came from the LLM instead. I used Anthropic's Claude 2 model to generate the response. Here's what it said: Here are some key things to know about prompt engineering for large language models (LLMs): What is Prompt Engineering Prompt engineering refers to the practice of carefully crafting the prompts that are … Continue reading What is prompt engineering? →

Consider this: Hinton realised that increasingly powerful AI models could act as “hive minds”, sharing what they learnt with each other, giving them a huge advantage over humans. “That made me realise that they may be a better form of intelligence,” he told me in an interview before his lecture.  It still seems fantastical that … Continue reading Why fatalism sells? →

The only worthwhile quote from Financial Times: Two decades ago, Steve Jobs, founder of Apple, championed the concept of skills diversification. In a Stanford graduation speech, he revealed that after dropping out of college in his youth, he stumbled into a class on Japanese calligraphy. Initially “none of this had even a hope of any … Continue reading Skill diversification →

This is bound to get worse. I am only including the important snippet here (and not for the endorsement of fuel-cells. This is because I am not focused on the "climate-change" issues but I am interested in Hydrogen/LNG and renewable energy transport. Those are interesting solutions to the energy mix requirements. Energy drives the world … Continue reading Power hungry data-centres →

I have started coming across more accounts of digital detox. I also listen to YouTube but only specific accounts. I have direct connections with the creators and it helps to give them feedback. We often get together for brainstorming ideas. I share my latest AI finds with them. But YouTube can be extremely addictive. Especially … Continue reading Recognising mental health issues with digital addiction →