GPT 3.5 gives me 22 days in June and a fairly simple working out.
GPT 4 answers 20 days (wrong) and an overly complicated working out where it spends most of its time explaining Zeller's Congruence to find day of the week for the start day of June. By the time I read it I could probably have gone and found a paper calendar and counted.
Worked on project in a small team, where the lead developer had a heart attack shortly after the project started. I had to step up to take on his role, though he was back in work 3 weeks later. As it was at the start of the project, it didn't suffer any real issues.
Most affiliate networks provide product data feeds for a lot of their members.
Nearly all affiliates I've seen prevent scraping in their terms and conditions of affiliation.. they will also have a limit of the types of marketing you can do, which may exclude comparison sites.
Alternatively, write a few blog articles on some of the products you are comparing and add some links to them, then you have content.
Found out both my father and I possibly had a tendency to iron overload (or haemochromatosis). Blood test then found both of us to have very high iron stored in bodies.
High stored iron is linked with all sorts of bad stuff in the body, particularly CAD.
Indeed. They admit that it could be done with an traditional relational database but argue that it wouldn’t be able to scale in the same way as with Cloud Spanner. But they are making it sound as though Cloud Spanner has some graph data model.
My interpretation is that they are arguing that they would have to sacrifice the ability to fully model all connections in the system or answer any kind of query (they talk about doing some things “per-user”) because they would have scalability issues or would have to do manual sharding of data. They are considering the full model with all connections as a “graph database”. This terminology is confusing and seems to ascribe extra capabilities to Cloud Spanner.
(I'm the author of the post - just woke up and saw this discussion. Hi!)
The intention wasn't to hold out Spanner as a purpose-built graph database, but rather to talk about using it for a graph-y database use case. Will put together a follow-up with some more information, but in summary:
* yeah, no built-ins other than relational SQL for graphs
* the key thing that make this work are the ability to easily construct global indexes that aren't sharded by the primary key and reasonably fast joins between them
* it's also helpful that Spanner does a reasonable job of parallelizing queries (e.g. a lot of times we'll get a 15x increase in speed vs. a sequential plan)
* we then do the fan-out across the graph in our Java client
We've been displaying Amazon CPM display ads on a site for over 2 years now. This is an ad network for affiliates, but paid by CPM. It's mostly a mix of large brand adverts and Amazon remarketing ads (normally for products you've looked at).
The service is about to be shutdown though at the end of this month, and their suggestion is that we apply to their larger header bidding network (Unified Ad Marketplace), but not sure we'll qualify for that.
The main difference is that, while you have already been able to change the menu bar and dock to a dark color scheme, the update coming in Mojave allows the window chrome to be dark too (note Finder being dark in the article).
GPT 4 answers 20 days (wrong) and an overly complicated working out where it spends most of its time explaining Zeller's Congruence to find day of the week for the start day of June. By the time I read it I could probably have gone and found a paper calendar and counted.