Hopefully it helps the next generation stay connected and maybe your kids pick up this habit when older and it becomes a tradition.
42 karma · joined January 1, 2026
Hopefully it helps the next generation stay connected and maybe your kids pick up this habit when older and it becomes a tradition.
wow this is a beautiful way to put it
+1 I prefer the Kindle for the exact same reasons.
I used to read a lot of physical books. But I can't tolerate physical books after I started reading on the Kindle, especially books with tiny text.
Plus it is easier to keep a better posture with the Kindle.
But it still does not feel so good to buy Kindle ebooks. Somehow purchasing physical books seems more justifiable.
I had a particularly annoying joint that I have completely stopped cracking - likely the cause was a functional issue that is resolved due to weight loss.
This is a good take. But then it makes you think - China can build a data center cheaper. Their non-chip cost is likely much smaller. So if there is a down-cycle in chip and memory prices and/or the technology-progress slows, whoever can build horizontal capacity has the advantage.
We have been pushing to the frontier very fast. But there will be a lot of efficiencies found. The agentic use-case has some room to run even if models stay static ie inference needs continue to grow. This puts pressure on the edge that US has of pushing frontier at higher costs. This is likely the AI bear scenario.
With just these 2 comments, now I'm really gonna read that article.
This is such a good way to put it.
I could learn asm maybe in a college course. But no other incentive.
No one wanted to read asm. Now no one wants to read thru code.
AI is likely correlation not causation. The generation that resonated with the self-help books has aged out. Short form vids on YT, TT, IG taking mind-share is likely the bigger cause.
Everybody owns a car, washer, TV, etc today. Maybe one could finance a server-box/trailer costing $20k, trade it in every 7 years for a newer model, etc. Many people are going to own a $20k Optimus.
And once the servers are in space, everything is fully out there.
yes but a sovereign can allocate some resources and a few people to stay in the loop from a first principles level. No need to wait for a rug pull.
Of course, it can not compete with the frontier labs. But good to have researchers and professors "in-house". LLMs are here for the long-term.
Assuming that translation was done a while ago (100+ yrs?)... It is hard to read. I can understand it if I try. But the phrasing is not current. 100 pages will take double the time at the least.
Almost think AI needs to rephrase it into current English.
Probably has these double negatives, long sentences, etc.
Guess this is just random evolution at play. Some companies will pay a bigger price than others. And not everyone even recognizes it and pinpoint it like you did.
But overall influencing people is on net good skill for the individual. And what is good for the geese is good for the gander??
Also the one person who has to review it before checking in needs to be resilient too
If the team mates have a different mindset, they see it as half baked or hacky. And if there is ever some bad feedback, they just use it as a "I told you so" and throw you under the bus.
Does not apply to all ppl but maybe there should be phases to cosplay hard. Then reflect and realign.
We will arrive on most answers by talking to an LLM. Many of us have an idea about we want. We relied on SO for some details/quirks/gotchas.
Example of a common SO question: how to do x in a library or language or platform? Maybe post on the Github for that lib. Or forums.. there are quirky systems like Salesforce or Workday which have robust forums. Where the forums are still much more effective than LLMs.
And create a pivot table for totals and %s. And rebalance as needed. This may be too crude for some. But I am only starting to get organized, so this works, esp as you said for directional. Actually this is one of the reasons I have dropped hledger in general.
I just leave notes and comments in the spreadsheet as needed.
Simplifying/automating the workflow is a pull. As I type this, I have an idea to stop tracking NW in hledger - it can seem incomplete because money moves from checking to brokerages. That's fine. I only want to see expenses.
I have not made updates for all of 2025 after 3 or 4 years of hledger. ROI diminished once the itch to zero everything wears off and since I have somewhat steady state expenses.
Tesla might be responsible but almost all other EVs are likely externalizing a lot in their supply chain.
Anyway according to Gemini: ``` In the U.S., a typical EV becomes "cleaner" than a gas car after about 15,000 to 20,000 miles (roughly 1.5 to 2 years of driving).
If your primary concern is climate change, the EV is the clear winner after about 1.5 years. If your concern is local land/human rights impact, the EV has a heavier "upfront" cost that requires better regulation to solve. ```
EV is the way to go but is it going to scale sustainably to say 25% or more of all cars? Apparently yes, with the new battery tech in the pipeline.
Reels is able to keep me engaged because it is able to surface similar content I would like but from different users. And they have such a breadth of producers these days.
The X home feed algo is not so good apart from it being text only, even for infotainment content. YT shorts also does not work as good as the Insta algo
Does anyone feel otherwise? Is the net carbon and environmental footprint really lower over the entire lifecycle per car for an EV? Not today