Stéphane Dalbera’s Post

View profile for Stéphane Dalbera, graphic

Founder & Manager of Atopos (MoCap & 3D CGI)

↫↫↫↫↫ ʟʟᴍs & ᴅᴇᴠ : ᴛʜᴇ sᴇʀɪᴏᴜs ᴘᴀʀᴛ ↬↬↬↬↬ The rapid ascent of large language models (LLMs) is a double-edged sword, fueling both innovation and an abundance of misinformation. It has sparked a wave of magical thinking, baseless assertions, sensationalized press releases treated as indisputable truths, and predictions lacking scientific grounding. This phenomenon manipulates FOMO (Fear of Missing Out), fosters irrational beliefs, and borders on a new form of mysticism—in essence, it perpetuates irrationality. In this context, serious works are rare and those of the CodeScene teams are to be praised. I'm sharing with you today this study conducted by Adam Tornhill, Markus Borg & Enys Mones 🫡 𝘛𝘩𝘪𝘴 𝘳𝘦𝘱𝘰𝘳𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘤𝘰𝘯𝘤𝘭𝘶𝘴𝘪𝘰𝘯 𝘰𝘧 𝘢 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬 𝘴𝘵𝘶𝘥𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘮𝘰𝘴𝘵 𝘱𝘰𝘱𝘶𝘭𝘢𝘳 𝘓𝘢𝘳𝘨𝘦 𝘓𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘔𝘰𝘥𝘦𝘭𝘴 (𝘓𝘓𝘔𝘴) 𝘢𝘯𝘥 𝘵𝘩𝘦𝘪𝘳 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘤𝘰𝘥𝘦 𝘧𝘰𝘳 𝘳𝘦𝘧𝘢𝘤𝘵𝘰𝘳𝘪𝘯𝘨 𝘵𝘢𝘴𝘬𝘴. 𝘞𝘦 𝘢𝘪𝘮 𝘵𝘰 𝘪𝘭𝘭𝘶𝘴𝘵𝘳𝘢𝘵𝘦 𝘵𝘩𝘦 𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘴𝘵𝘢𝘯𝘥𝘢𝘳𝘥𝘴 𝘢𝘯𝘥 𝘭𝘪𝘮𝘪𝘵𝘢𝘵𝘪𝘰𝘯𝘴, 𝘢𝘯𝘥 𝘴𝘦𝘦𝘬 𝘵𝘰 𝘴𝘩𝘰𝘸 𝘯𝘦𝘸 𝘮𝘦𝘵𝘩𝘰𝘥𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘸𝘪𝘵𝘩 𝘩𝘪𝘨𝘩𝘦𝘳 𝘤𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘤𝘦 𝘳𝘦𝘴𝘶𝘭𝘵𝘴. #LLMs #IA #Dev #Refactoring

David Teller

Software Tech Lead, Open Source Mentor, Mozilla Alumnus, Rust Contributor, Science & Data-oriented

4d

You are right, "magical thinking" seems to be the best description of how AI is expected to change the landscape of software development.

There's also refucktoring, ok sorry for the stupid joke, I'll see myself out ->

Like
Reply
See more comments

To view or add a comment, sign in

Explore topics