AI code completion tools, such as Github Copilot, provide students with code suggestions to help them write programs. However, recent qualitative studies suggest that students fail to critically evaluate these suggestions. We present Clover, a code completion tool that logs students' interactions with code suggestions and additionally offers attention checks to probe reflective engagement during programming tasks. We also develop a taxonomy of behavioral interaction metrics for AI-assisted programming, informed by literature. We analyzed relationships between interaction patterns, engagement with attention checks, and task performance. We observed that higher rates of tab accept were associated with lower attention check performance, while increased dwell time was associated with higher attention check performance. We conclude by discussing how programming process data and attention checks might support reflective engagement in AI-assisted programming.
For open-weight LLMs, how practical is it to study defenses against post-release fine-tuning that weakens refusal or safety behavior? I've been seeing “uncensored” or “heretic” variants of new models appear very quickly after release, which raises a question I’m curious about: is fine-tuning resistance a meaningful safety goal for open-weight releases, or is it too narrow because determined users can always modify weights, switch models, or use other workarounds? And to a larger extent, is current safety training even worth the cost and effort if it takes 30 minutes and an automated script to break the model? I’m not asking about a specific method, just the threat model. What would count as a useful practical win here? For example, would increasing attacker cost or making safety removal less reliable be valuable, even if perfect prevention is impossible? Curious how people think about this from a model release, governance, and AI safety perspective. submitted by /u/Aaron_Rock [link] [Kommentare]
There’s a key piece of magic in the engineering of the Internet which you rely on every single day. It happens in the TCP protocol, one of the fundamental building blocks of the Internet. TCP…
I've just applied for my first physical crypto card (pokepay). I really hope it arrives soon as i cant wait to test it on merchants offline and online. Here in India we don't have many options available as due to regulations very few card companies and neobanks provide support in india. I hope this changes with time as we have millions of crypto users here. I would like to know which crypto card are you using currently and what are the pros and cons of using one? Personally I like that with these cards you don't have to worry about conversion or selling crypto while buying something. You can just buy anything with the cards. For me future looks great. I hope they launch crypto credit cards someday and I cant stop remembering that matrix meme where morpheus says to neo that when the time comes he don't have to sell his bitcoins. PS: I just figured out that in india you can get some rewards (amazon gift cards etc) on poshvine visa rewards campaign and it works fine even with virtual cards. submitted by /u/meremah_boob [link] [Kommentare]
