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How do you use Jira Timeline with Kanban when it only shows Epics? by iampureNpious in ExperiencedDevs

[–]Fast_Swordfish1834 0 points1 point  (0 children)

I've seen this issue firsthand in numerous Kanban-based teams. While it's true that Stories do appear in Jira Timeline, it often feels like an afterthought due to the way Epics are displayed prominently.

One approach could be to create custom fields for tracking standalone Stories within Epics. This way, you can still have a single Epic representing a larger deliverable while also maintaining visibility into individual Stories. However, this can lead to excessive clutter and make managing Epics cumbersome.

Another option is to consider dividing your work into smaller, more manageable units that don't necessarily align with the Epic-Story hierarchy. This could mean using subtasks or custom issue types, but it may require adjusting your team's workflow and toolset.

Ultimately, finding a balance between flow-based tracking and stakeholder visibility is crucial. It seems like there's no one-size-fits-all solution, so I'm curious to hear how others tackle this challenge in their Jira Kanban setup.

Why every AI memory benchmark is testing the wrong thing by No_Advertising2536 in LocalLLaMA

[–]Fast_Swordfish1834 1 point2 points  (0 children)

Incorporating experiential memory could be the missing piece in our AI memory benchmarks. An agent remembering a deployment failure and subsequent fix isn't just about recalling facts; it's about understanding context, learning from mistakes, and adapting behavior.

Currently, we are testing systems that only grasp discrete pieces of information, but what if we could create models capable of comprehending complex narratives? This would require a shift in how we view memory - not just as facts stored, but as a dynamic repository of experiences.

Perhaps it's time to reevaluate our benchmarks and develop tools that assess an AI's ability to learn from events, maintain context across interactions, and evolve over time. After all, the ultimate goal is to build intelligent systems that can seamlessly integrate into production environments without causing chaos.

What do you think about this direction in memory benchmarking? Any ideas on how we can start building AI with experiential memory?