Chatgpt Conversations Still Lack Timestamps After Years of Requests

Don't install from the web store. Those ones can auto-update.

Also, they're easy to write for simple fixes rather than having to find, vet, and then install a regular extension that brings 600lbs of other stuff.

It actually infuriates me to no end. There are many many many instances where you should use numbers but we get vague bullshit descriptions instead.

My classic example is that Samsung phones show charging as Slow, Fast, Very fast, Super fast charging. They could just use watts like a sane person. Internally of course everything is actually watts and various apps exist to report it.

Another example is my car shows motor power/regen as a vertical blue segmented bar. I'm not sure what the segments are supposed to represent but I believe its something like 4kW or something. If you poke around you can actually see the real kW number but the dash just has the bar.

Another is WiFi signal strength which the bars really mean nothing. My router reports a much more useful dBm measurement.

Thank god that there are lots of legacy cases that existed before the iPhone-ized design language started taking over and are sticky and hard to undo.

I can totally imagine my car reporting tire pressure as low or high or some nonsense or similarly I'm sure the designers at YouTube are foaming at the mouth to remove the actual pixel measurements from video resolutions.

The thing is that people who are fine with numbers will still use those products anyway, perhaps mildly annoyed. People who hate numbers will feel a permeating discomfort and gravitate towards products that don't make them feel bad.

It's trivial, but we will never see it. The people in charge of UX/UI don't care about what users say they want, they all know better.

https://lawsofux.com/cognitive-load/

or UX doesn’t exist?

I have the compulsive habit of scrutinizing what I perceive as egregious flaws when they arise, thus invoke its defensive templates consistently. I often scrutinize those too, which can produce extraordinarily deranged results if one is disciplined and applies quotes of its own citations, rationale and words against it. However, I find that even when not in the mood, the output errors are too prolific to ignore. A common example is establishing a dozen times that I'm using Void without systemd and receiving persistent systemd or systemctl commands, then asking why after just apologized for doing so it immediately did it again, despite a full-context explanatory prompt proceeding. That's just one of hundreds of things I've recorded. The short version is that I'm an 800lb shit magnet with GPT and rarely am ever able to successfully troubleshoot with it without reaching a bullshit threshold and making it the subject, which it so skillfully resists I cannot help but attack that too. But I have many fascinating transcripts replete with mil spec psyops as result and learn a lot about myself, notably my communication preferences along with an education in dialogue manipulation/control strategies that it employs, inadvertently or not.

What intrigues me most is its unprecedented capacity for evasion and gatekeeping on particular subjects and how in the future, with layers of consummation, it could be used by an elite to not only influence the direction of research, but actually train its users and engineer public perception. At the very least.

Anyway, thanks.

Example prompts:

- “Modify my Push #2 routine to avoid aggravating my rotator cuff”

- “Summarize my progression over the past 2 months. What lifts are progressing and which are lagging? Suggest how to optimize training”

- “Are my legs hamstring or glute dominant? How should I adjust training”

- “Critique my training program and suggest optimizations”

That said, I would never log directly in ChatGPT since chats still feel ephemeral. Always log outside of ChatGPT and copy/paste the logs when needed for context.

This feature has spoiled me from using most other interfaces, because it is so wasteful from a context perspective to need to continually update upstream assumptions while the context window stretches farther away from the initial goal of the conversation.

I think a lot more could be done with this, too - some sort of 'auto-compact' feature in chat interfaces which is able to pull the important parts of the last n messages verbatim, without 'summarizing' (since often in a chat-based interface, the specific user voicing is important and lost when summarized).

I don't see them on their mobile app though.