Posted inWeb development
The truth behind how AI text generation works
How GPT and other AI models really work, why they hallucinate, and what affects the quality of AI-generated content.
Posted inCoding Tips
The hardest part of building software is not coding, it’s requirements
Why replacing programmers with AI won’t be so easy.
Posted inCoding Tips Security
From prompt attacks to data leaks, LLMs offer new capabilities and new threats
While there’s a lot of dangers out there, it’s not all doom and gloom; we also talk about how to mitigate these threats.
Posted inCoding Tips
Can an AI get depressed?
Ben and Ryan discuss the golden age of digital piracy, the Sisyphean task of keeping kids off the internet, and seasonal depression in AI.
Posted inCoding Tips
What Gemini means for the GenAI boom
The home team talks about Google’s new AI model, Gemini; the problems with regulating technology that evolves as quickly as AI; how governments can spy on their citizens via push notification; and more.
Posted inCoding Tips
Are LLMs the end of computer programming (as we know it)?
Ben and Ryan discuss how LLMs are changing the industry and practice of software engineering, a notorious Crash Bandicoot bug, and communication via series of tubes.
Posted inCoding Tips
Will developers return to hostile offices?
Ben, Ryan, and Eira convene to discuss return-to-office mandates, what’s surprising about employee attrition in 2023, and how technology can preserve digital records of cultural heritage sites before they’re lost for good.
Posted inCoding Tips
How to scale a business-ready AI platform with watsonx: Q&A with IBM
We chat with IBM about how their watsonx platform makes generative AI more than just a fun toy.
Posted inCoding Tips
Privacy in the age of generative AI
The core challenge posed by generative AI right now is that unlike conventional applications, LLMs have no “delete” button.
Posted inCoding Tips
Retrieval augmented generation: Keeping LLMs relevant and current
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
