Bug : User fails to respond to private messages

[AlixANNERAUD]

Description: It seems our dear user has recently experienced a sudden drop in communication bandwidth, resulting in critical delays for private message responses. The root cause appears to be a newly implemented module in their life: @girlfriend, who seems to have introduced a number of high-priority tasks that fully preoccupy the user's attention.

Steps to Reproduce:

Send a private message to the user, ideally involving suggestive phrases like "Hey, got a sec?" or “Guess what I found?”
Wait. And wait some more.
Verify that user status remains Unavailable, possibly due to @girlfriend constraints.

Expected Behavior: The user replies in a timely fashion, demonstrating strong attention-sharing skills and multi-threaded processing between @friends, @work, and @girlfriend.

Actual Behavior: User response time has ballooned from seconds to an indefinite “still waiting.” Evidence suggests they are deeply engaged in intense, high-priority processes with the @girlfriend module. Reallocation of resources to this module has led to severe unresponsiveness in all other channels.

Possible Causes:

Intimate Distraction: User may be operating on a “Do Not Disturb” setting due to physical proximity of @girlfriend.
Priority Inversion: The user's primary attention stack has been entirely hijacked.
Latency Threshold Exceeded: The user's responses now arrive far beyond the acceptable ping rate.

Suggested Fixes:

Implement attention-shifting routines to balance critical friends-related tasks with @girlfriend attention.
Consider a load-balancer approach, where @girlfriend and friends receive fair shares of the user's attention capacity.
Provide user a reminder that maintaining high response rates can enhance overall friendship satisfaction.

Priority: 🤷‍♀️ Low for now, but marked 🔥 Critical if the unresponsiveness trend continues.

[qberal]

Hey! Just wanted to give a quick update on the situation. After running a few tests, here's what we've observed:

Test 1: Response Time Comparison The user's response time is now slower than typical network latencies from institutional systems, like @dsi_insa_rouen. In fact, the delay is now worse than a university’s Wi-Fi during peak hours.

Test 2: Task Distribution Simulation The user’s attention is almost entirely absorbed by @girlfriend, leaving little bandwidth for responding to friends or work messages. It’s like a system prioritizing one personal input over all others, causing significant delays.

Test 3: Latency with Multiple Inputs When multiple messages arrive simultaneously (from friends and @girlfriend), the response time becomes excessively long. Compared to @dsi_insa_rouen, which may experience latency spikes under load but still manages decent throughput, the user's delays are much higher.

Conclusion: In conclusion, the user’s response time has become slower than @dsi_insa_rouen's worst-case latency. It looks like balancing attention between @girlfriend and other priorities could help improve response times. A little multitasking optimization might be the key!

[Mubelotix]

Send me some more RAM and CPU cores to speed up token generation

[AlixANNERAUD]

Here some RAM : https://downloadmoreram.com/

[AlixANNERAUD]

And here some CPU : https://social.mtdv.me/videos/i6x3-5lV0L