After losing my shirt some years earlier I announced to my wife that I was ready to get into the buying shares again. She agreed, but only if I bought good ones this time.
Product Managers really should have a solid grasp of the fundamentals of AI (gen and non-gen) as this will enable them to understand if it can add value to the software products they are envisaging. In the end it's another tool, be it a powerful one that comes with very specific challenges on UX side but it doesn't require a carve out of the PM role.
HA is awesome but I have found that over time entropy kicks in if you don't maintain it properly (which I haven't done for a year) connections fail, switches stop doing what they are supposed to...it's on my Xmas list to spend some time sorting it out!
I'm a noob when it comes to DBs, but stumbled upon using InfluxDB with Home Assistant - would you say that's a solid choice, or are there better alternatives out there?
InfluxDB is pretty much the most popular and widely used time series database.
The difference between just storing every value ever and a time series DB is that the latter one can reduce the data frequency when it gets older.
Like if you're measuring your fridge temperature, you might store it every minute. But do you care about 1 minute accuracy when the data is two years old? Would 5 or 15 minutes be enough?
This is what time series DBs do automatically.
They're also optimised for data that's formatted as <time stamp> - <values>, making inserts and queries fast for data like that.
100% this. If they can figure out trust through some paradigm where enterprises can use the models but not have to trust OpenAI itself directly then $200 will be less of an issue.
This is great. Simple to get, not too simple to solve. One I will share with my kids, plus now introduced to Julia Robinson festival. Thanks for sharing.
Pocket is good. I use it across all my devices, simple and works for me but do wonder if they could or should do more with the data they collect from me which is all the things I really care about.
https://www.sciencedirect.com/science/article/abs/pii/000510...
- The more tasks you automate the less practice people get in doing those tasks themselves and developing the experience in executing them.
- Yet, experience becomes more important as issues/exceptions occur (which they will)
- Ironically, when people are needed the most they are least prepared to step in because automation has taken over their day-to-day.
Net result might be a reduced supply of 'experience' but demand remains strong thus increasing the price of it.
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