The Birthday Paradox is about a group of people sharing at least one birthday between them. If it was at least 1 person out of 23 people sharing YOUR birthday then the odds would be 1 - (364/365)^23 which is around 0.06 (or 6% chance). So, yes, this scenario is a lot less likely.
"We believe developers and users should have the flexibility to use our services as they see fit, so long as they comply with our usage policies. We're exploring whether we can responsibly provide the ability to generate NSFW content in age-appropriate contexts through the API and ChatGPT. We look forward to better understanding user and societal expectations of model behavior in this area."
When educating the general public about the risks and limitation of LLMs, I think "hallucinating" is a useful term - it is something people can understand and it conveys the idea of LLMs being somewhat random and unreliable in their responses. I'm not sure "confabulating" is so easily understood or accessible.
> ... can I do these trails on my full suspension mountain bike...?
Yes. It will be a bit more work on the pedalling front vs a dedicated gravel bike, but I doubt you will encounter any bike snobbery. I have gravel trails near where I live, and you see all kinds of bikes tackling them.
This is probably true for many other industries. Organisation experience / knowledge is very important in being effective in a role. When looking at productivity, organisations tend to overpay new starters (a new starter is often a net loss, particular in a skill based role) and underpay those who've been with the organisation for several years.
Of course, people have to live, so you can't pay a new starter next to nothing with the promise of huge increases after 6 months.
Of course, the flip side is that sometimes that initial step of:
> "We are doing a prototype on our new mapping product, we need to write a one-off script to pull in some map data."
... is just that - a one off script. And it can prove to be a lot quicker to write a one-off script than getting involved with an ETL framework. I am not arguing against ETL Frameworks (Airbyte etc). Just that over-engineering carries its own costs, just like under-engineering does.
We are a .NET shop and have been using DbUp (https://dbup.readthedocs.io) for years now. It is fantastic. We had so many false starts managing production databases and keeping them consistent. DbUp has taken all that away, and now every upgrade or patch is repeatable and predictable.
It is worth spending time identifying what in your database is idempotent (e.g. stored procs, functions) and what isn't. This way the idempotent objects can be upgraded every time and everything else just receives a single incremental update as required.
If you have a young family, working a 4 day week would make all the difference. At the moment I work 5 days and then go into a weekend which can be just as tiring as a work day with kids to tend to. With an extra day, this would mostly be when the kids are at school, so it would be genuine time to myself.
Exactly this. I moved to New York in my early 20s, which would seem a bad choice for an introvert, but I loved just sitting and watching it all go by. It was like being in a human circus but you are in the audience rather than in the circus ring.
One thing I have missed as an introvert is the "people watching" aspect. I don't need to be at the centre of things and don't enjoy big social occasions, but do enjoy walking around a bustling city, taking in the atmosphere. It feels like the world has stood still (or at least slowed) and that has made just my normal day-to-day less interesting.
Introverts aren't disinterested in society - they just like to experience it differently to extraverts.
I’m not a big fan of OLAP cubes / data warehouses but it should be noted that these aren’t always just about scale and speed. They also serve to provide a single view of the data when the data is held across multiple databases / systems. You’re orders may be in PostgreSQL, your inventory tracked in MySQL etc. So bringing all that data into a single database for analytics can be valuable.