I've seen them. Also up the road at Herculaneum the dock buildings are full of skeletons all huddled together.
It's really haunting.
Medical test for competency would make sense.
My point is forced retirement is basically ageist.
I don't think so. One you'd lose Bernie. Two it's a bit harsh to assume anyone over a certain age isn't mentally capable of governing or changing with the times.
I think term limits would serve you much better.
Only if you do it per mile. Not if you do it as gallons burned.
Also 0/1 isn't infinity it's undefined.
I doubt they leave the engines and even if they did leave them idling it's better than flying
I didn't say LLM. AI has existed since the 50s/60s. Fuzzy matching is an AI technique.
Grounding planes is probably one of the most effective ways a person can cut emissions.
They do it much better than anything you can hard code currently.
That is indeed a poor use. Searching traditionally first and falling back to it would make way more sense.
Google's algorithm has pretty much always used AI techniques.
It doesn't have to be a synonym. That's just an example.
Typing diabetes and getting medical services as a result wouldn't be possible with that technique unless you had a database of every disease to search against for all queries.
The point is AI means you don't have to have a giant lookup of linked items as it's trained into it already.
No it's not.
Fuzzy matching is a search technique that uses a set of fuzzy rules to compare two strings. The fuzzy rules allow for some degree of similarity, which makes the search process more efficient.
That allows for mis typing etc. it doesn't allow context based searching at all. Cat doesn't fuzz with pet. There is no similarity.
Also it is an AI technique itself.
Honestly I feel people are using them completely wrong.
Their real power is their ability to understand language and context.
Turning natural language input into commands that can be executed by a traditional software system is a huge deal.
Microsoft released an AI powered auto complete text box and it's genius.
Currently you have to type an exact text match in an auto complete box. So if you type cats but the item is called pets you'll get no results. Now the ai can find context based matches in the auto complete list.
This is their real power.
Also they're amazing at generating non factual based things. Stories, poems etc.
Where I am they can indeed do that as long as your average wage never drops below minimum wage.
So it's definitely worth checking local laws.
Could be food safety, taxes, production rules or any number of things.
Things like this seem silly but there's likely laws or protection that use sandwiches in their wording.
Defining things you want them to apply to as sandwiches is easier than changing the law.
Scaled absolutely. Works really well. We have a pr ci pipeline. And cd set up on the trunk. Everything is PRed before being merged to the trunk.
This comment really doesn't make sense.
They explained the issue. Using a generic name makes it difficult to get good search results.
It's a pain in the ass that almost all developers will have faced.
Making any polished/releasable project will teach you a lot.
To paraphrase it takes 20% of your time to do the fun 80% coding stuff and of your 80% time to do that last 20% polish etc.
You can look up anything you need as you go. Start simple and get core features going. Then add more once the core is totally finished.
Choose literally anything that interests you.
As it's all 1s in binary you can overwrite any character by doing an or with DEL
I don't think end users are the problem.
Anyone looking to make an easy buck can steal your source, flip some assets and sell it as their own.
That is a big vulnerability. Especially to indie Devs who potentially work on razor thin margins already.
I just personally love them and I am looking to get a deeper understanding of them and how to implement them.
Do you chaps have any good resources? (Articles, nuget packages, etc.)