A school district in New Hampshire updated its AI policy to stipulate which platforms are allowed and when students and staff must disclose their use, though some staff members raised questions about enforceability.
The problem wasn’t just the perfectly polished, yet mediocre prose. It’s what’s lost when we surrender the struggle to translate thought into words
I have been teaching fiction writing at MIT since 2017. Many of my students last wrote fiction in middle school, and very few have experienced a proper workshop, so at the start of every semester I offer these directions for writer and reader alike:
Read the story at least twice. Mark what works and what doesn’t – underline great sentences, flag clunky syntax, gaps in logic and unrealistic dialogue. Ask yourself: does the story work? Why or why not? What could improve it? Answer in a signed letter to the author, attached to their story. Give your honest opinions. Remember that an effective peer review demands close reading of the text accompanied by a boldness of spirit.
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It's not just you. Hackers and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity.
For teachers, advocating for your classroom and students isn’t just about the big, visible moments, but the quiet ones: the follow-up email, the extra conversation, the willingness to try again after hearing “no.”
Vibe coding and spec-driven development (SDD) are two emerging approaches where devops teams use AI to develop all of an application’s code. There are discussions about which approach to use for different use cases, and there are many platforms to consider with varying capabilities and experiences. Some experts question whether AI delivers reliable, maintainable applications, while others suggest that, at some point, AI can lead the end-to-end software development process.
But one certainty IT organizations face is that there’s more demand for applications, integrations, and analytics than there is supply of agile teams and devops engineers. Compound this imbalance with business priorities to address application security vulnerabilities, modernize applications for the cloud, and address technical debt. It results in tough choices on what work to prioritize and where to drive efficiencies in the software development life cycle.
Even before AI code generators emerged, IT leaders sought
Vibe coding and spec-driven development (SDD) are two emerging approaches where devops teams use AI to develop all of an application’s code. There are discussions about which approach to use for different use cases, and there are many platforms to consider with varying capabilities and experiences. Some experts question whether AI delivers reliable, maintainable applications, while others suggest that, at some point, AI can lead the end-to-end software development process.
But one certainty IT organizations face is that there’s more demand for applications, integrations, and analytics than there is supply of agile teams and devops engineers. Compound this imbalance with business priorities to address application security vulnerabilities, modernize applications for the cloud, and address technical debt. It results in tough choices on what work to prioritize and where to drive efficiencies in the software development life cycle.
Even before AI code generators emerged, IT leaders sought
