Cybercriminals Are Complaining About AI Slop Flooding Their Forums
It's not just you. Hackers and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity.
WIRED AI·
For screenwriters like me—and job seekers all over—AI gig work is the new waiting tables. In eight months, I’ve done 20 of these soul-crushing contracts for five different platforms. It’s bad.
Read full articleIt's not just you. Hackers and other cybercriminals are complaining about “AI shit” flooding platforms where they discuss cyberattacks and other illegal activity.
The Emily Hart case shows the gap between what platforms say about AI transparency and what users actually see in their feeds.
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
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Now actors and writers are supposed to be human. As the Academy released its rules for the 99th Academy Awards, the organization declared that any movies with “AI generated actors” or “AI written screenplays” would be ineligible for acting or writing prizes (but otherwise still eligible). So what do you do, exactly, in a time when we can no longer be sure if AI is a tool or a threat? Hollywood is going to have to make that call soon. The Academy released its latest statement on what’s eligible for an Oscar, including how they’re going to approach AI actors […]
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