this post was submitted on 26 Dec 2025
239 points (94.8% liked)
Showerthoughts
38791 readers
745 users here now
A "Showerthought" is a simple term used to describe the thoughts that pop into your head while you're doing everyday things like taking a shower, driving, or just daydreaming. The most popular seem to be lighthearted clever little truths, hidden in daily life.
Here are some examples to inspire your own showerthoughts:
- Both “200” and “160” are 2 minutes in microwave math
- When you’re a kid, you don’t realize you’re also watching your mom and dad grow up.
- More dreams have been destroyed by alarm clocks than anything else
Rules
- All posts must be showerthoughts
- The entire showerthought must be in the title
- No politics
- If your topic is in a grey area, please phrase it to emphasize the fascinating aspects, not the dramatic aspects. You can do this by avoiding overly politicized terms such as "capitalism" and "communism". If you must make comparisons, you can say something is different without saying something is better/worse.
- A good place for politics is c/politicaldiscussion
- Posts must be original/unique
- Adhere to Lemmy's Code of Conduct and the TOS
If you made it this far, showerthoughts is accepting new mods. This community is generally tame so its not a lot of work, but having a few more mods would help reports get addressed a little sooner.
Whats it like to be a mod? Reports just show up as messages in your Lemmy inbox, and if a different mod has already addressed the report, the message goes away and you never worry about it.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Big AI is a bubble but AI in general is not.
If anything, the DRAM shortages will apply pressure on researchers to come up with more efficient AI models rather than more efficient (normal) software overall.
I suspect that as more software gets AI-assisted development we'll actually see less efficient software but eventually, more efficient as adoption of AI coding assist becomes more mature (and probably more formalized/automated).
I say this because of experience: If you ask an LLM to write something for you it often does a terrible job with efficiency. However, if you ask it to analyze an existing code base to make it more efficient, it often does a great job. The dichotomy is due to the nature of AI prompting: It works best if you only give it one thing to do at a time.
In theory, if AI code assist becomes more mature and formalized, the "optimize this" step will likely be built-in, rather than something the developer has to ask for after the fact.