Things like "What is today's date" used to be enough (would usually return the date that the model was trained).
I recently did things like current events, but LLMs that can search the internet can do those now. i.e. Is the pope alive or dead?
Nowadays, multi-step reasoning is the key, but the Chinese LLM (I forget the name of it) can do that pretty well. Multi-step reasoning is much better at doing algebra or simple math, so questions like "what is bigger, 5.11 or 5.5?"
I don't like that I can't connect to a RHEL 8 machine (that doesn't have a subscription enabled yet) without buying the Pro version of XPipe ($50). Definitely not in the open-source mindset.
The idea behind that is that people usually don't run RHEL for fun, there is mostly a business need for that. Especially since there are distros like Alma Linux out there, which you can use with XPipe for free.
syncthing blows. Don't trust your data to it. Tons of posts on the forums about "out of sync" and no real answers other than "delete the database and start over". I've given syncthing a try over and over again for > 10 years and every time it fails to sync.
I've never had to delete a Syncthing database, but I have had issues where computers don't always see each other (for one thing, you need to run as root on Android or it can't discover computers using mDNS) and a constant stream of sync conflict files.
Take long lunches and get something done around the house. You're working at home. Might as well make it worth while. Do the dishes. Do the laundry. Wash your car. It doesn't have to be about work 100% of the time. If/when you do this, block some time off in your calendar for it so nobody is trying to contact you during this time.
I see the value in this, but I personally have not had success with it. I have found I am most effective remote if during my working hours, I don't do anything I wouldn't do if I was working at the office. For me, that means no laundry during the day, no extended lunches, etc. It keeps my mind in "work mode" and at the end of the day, I shut my office door and transition my brain out of work-mode.
I don't think its any less convenient for my partner than if I worked in an actual office. Plus, I still have the added benefit of no commute, which means more time with my partner.
I just bought a 5 year old rugged Dell laptop on eBay for $50. Why would I pay a premium price for the top of the line laptop nowadays unless I was a game developer or my work is buying me a new laptop?
Anything that fits in RAM on one machine is easily too small for Hadoop. In those cases, the overhead of Hadoop is going to make it get destroyed by a single beefy machine. The only times where this might not be the case is when you're doing a crazy amount of computation relative to the data you have.
Note that you can easily reach 1TB of RAM on (enterprise) commodity hardware now, and SSDs are pretty fast too.
A Hadoop submission may help people realize that. But since you only have one machine to work with it should be obvious that you're not going to get any speed-up via divide and conquer.
