- Thoughts On A Month With Devin
One team's experiences trying Devin for a month - AI for learning: What we learned in 2024
"Start with the problem. Every successful AI initiative we explored identified primarily their challenge and clear outcome" — Matt Walton - How GenAI is reshaping tech hiring
[BEHIND A PAYWALL]
Gergely Orosz and Elin Nilsson provide a deep dive into the effects of Generative AI on hiring - FOMO is not a strategy
Rachel Coldicut gives an assessment of where we are as an industry with making use generative AI at the end of 2024 - AI eats the world
Benedict Evans's keynote from Slush '24 shares his analysis of the state of AI from a business perspective - AI tools for software engineers, but without the hype
Simon Willison shares his relfections in this interview - “Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed
Cory Doctorow on 'reverse-centaurs' and other AI patterns - Notes on how to use LLMs in your product
Will Larson outlines a mental model for thinking about how to use LLMsin your product - AI for software development: A reality check
Birgitta Boeckeler sharing her explorations of using LLMs to support development at LeadDev Berlin '23 - The Real Danger of LLMs
Hywel Carver on the risks of using LLMs in our development tools - ChatGPT is nothing like a human
Emily M. Blender on the dangers of anthropomorphising LLMs - ChatGPT Is a blurry JPEG of the web
Ted Chiang share his thoughts around LLMs being lossy text-compression algorithms. - AI Copliot Code Quality
Git Clear's research into the impact of AI on code quality suggests that people are writing code faster but the quality is going down.
Recommended links about generative AI
Recommended books, articles, sites, talks and podcasts about generative AI.