So that sorta explains everything- price, taste, reach.

Apparently both timestamp and timestamptz saves 8 bit integer that represents a datetime in a similar fashion as Unix epoch.

Neither of them stores a timezone or an offset.

So what are they?

- By not being a optimised for chat, it can deliver confidence for answer and not for how an answer should be phrased

- Speed. It can take seconds for OpenAI to compile schemas, jev can respond before openAI has even begun thinking

- Token efficiency and price. I think its the output token they don't even charge for because they are negligible, and the tokens they do charge for are at a fraction of a comparable model.

If you are using structured output, I think those 3 together is a really big deal.

>But their example is classification but that would also be possible and faster with a classic BERT model.

I believe the things you can classify with ChatGPT without any tuning or training is way beyond what BERT can do.

Weimer described the project as a “proof of concept” that generates just 1.7 megawatts of energy, a tiny fraction of the 56 megawatts that they generate with a solar farm in the desert.

But the canal site hosts more than just panels. Bales said they “have instruments out there to measure temperature, relative humidity, wind speed, incoming radiation, outgoing radiation, and a prototype instrument to measure evaporation directly.”

It’s not that simple. It’s a research projects that does more than just solar.

So you need to ask “how much of the grant went into the solar-cover”, and set that up against the value produced (water evaporation, water quality, electricity, etc).

What you did is set the price of the entire research project up against one of its output.

Stop using links instead of words. Your comment is literally unreadable without going on to other websites.

My guess is it is kinda like a first draft that some higher ups approve and budgets and then dialogue and game development and puzzle testing can begin.

When researching a topic a chatbot can be quite sensitive to certain wording and those can end up steering definitions. Two context free chats on the same topic can go in very different ways depending on how you word things, but when using the notebook feature in Gemini, where every chat becomes part of the context you completely lose the ability to discover if a topic is vaguely defined or have many definitions.

However, about half way through the author writes

> The only place on the whole island where the two worlds nearly collide is the Markham valley […]

Author then goes into a bit of detail on that place before giving two reasons why he believes “that”. Two reasons I cannot for the life of me parse

> The reason why I believe that, despite the minimal trade that existed, the highlands were functionally cut off, is that when the Europeans occupied New Guinea, they themselves did not ever speak of or show knowledge of the highlanders. Similarly, when the highlanders first encountered Australians, they had no concept of the coastal people, or where the shells came from, or any further concept of the broader world.

So the reason the highlanders world nearly collided with the coastal dwellers at Markham Valley is because the Europeans didn’t meet the highlanders when they occupied the island?

The other reason is to do with genetics, which I find equally detached from the core subject of those paragraphs.

Where is the article explaining that?

Anyway, great article, thanks for sharing.