this is why programming languages will still be useful in the age of ai It's a common language to specify precise instructions in a concise way If not the English used would be lengthy and subjected to different interpretation by different ai

this something valuable to me esp being in crypto where things move so fast and we are always chasing the next big thing "We have the capacity to live in a way that these twenty-four hours will bring peace, joy, and happiness to ourselves and others. We can smile, breathe, walk, and eat our meals in a way that allows us to be in touch with the abundance of happiness that is available We don’t have to travel far away to enjoy the blue sky. We don’t have to leave our city or even our neighborhood to enjoy the eyes of a beautiful child We know how to sacrifice ten years for a diploma, and we are willing to work very hard to get a job, a car, a house, and so on. But we have difficulty remembering that we are alive in the present moment, the only moment there is for us to be alive. Every breath we take, every step we make, can be filled with peace, joy, and serenity. We need only to be awake, alive in the present moment." - thich nhat hanh

Wtf are they coding to spend so much on Claude code

Ithaca is building Porto, an E2E solution for building passwordless auth & reliably high throughput stablecoin payments into your application. We just added an example of how to use Porto with better-auth. Happy hacking!

This false nomenclature of “researcher” and “engineer”, which is a thinly-masked way of describing a two-tier engineering system, is being deleted from @xAI today. There are only engineers. Researcher is a relic term from academia.

🚨Frontiers by @paradigm x @AnthropicAI! 🚨 We have been strong advocates of using AI tools in our day-to-day development over the last few months. @tobias_h_noonan will present "Mastering Claude Code" ahead of our intense hackathon, which will run through the rest of the day! We will have free credits available for everyone to supercharge their development. See you all next week in San Francisco!

I see three attitudes towards AI in tech: 1. Juniors: extremely scared because AI can do much more than them 2. Seniors: highly skeptical because AI is often wrong 3. Other Seniors: highly productive because they know how to leverage AI efficiently

trying out sub agents based on reddit research

Wow the context window + subagent is crazy

How are u guys designing your workflow for research/ learning right now? Any particular approach that stands out? Currently I am trying out 1. Prompt generation from research idea with a perspective of a expert in the space 2. Passing that prompt to deep research 3. Passing that generation in pdf to notebooklm E.g research about gpu from a high level perspective like Vinod kholsa and deep engineering perspective from a hardware engineer