People are overestimating the value on having AI create something given loose instructions, and underestimating the value of using AI as a tool for a human to learn and explore a problem space. The bias shows on the terminology (“agents”).
We finally made the computer able to speak “our” language - but we still see computers as just automation. There’s a lot of untapped potential in the other direction, in encoding and compressing knowledge IMO.
Because that would mean AI isn't going to replace entire industries, which is the only way to justify the, not billions, but trillions in market value that AI leaders keep trying to justify.
Exactly my thoughts - the value in AI is not auto-generating anything more than something trivial, but there's huge value in a more customized knowledge engine - a targeted, specific Google if you will. Get answers to your specific question instead of results that might contain what you were looking for if you slog through them.
AI is hugely beneficial in understanding a problem, or at least getting a good overview, so you can then go off and solve/do it yourself, but focusing on "just have the AI generate a solution" is going to hugely harm AI perception/adoption.
Those were the glory days of word processors, I used to have something similar on the Amiga. I'd still rather write on something like this than Word, Pages or Google Docs.
Same, don't remember the name though. But it was WYSIWIG and I'd use it to create character sheets for our D&D games. And then I'd print them on a dot-matrix printer on continuous paper. Oh the memories!
"Tempus-Word NG uses a generally different data structure than other text processing applications. Because of this, Tempus-Word NG can handle documents with more than 1000 pages with almost the same speed that it does with one with ten pages. The number of pages and speed are only limited by the available memory and processor speed. To achieve good results, you should use an ATARI with minimum 8 MB memory and 16 MHz, PC with 300 MHz and 64 MB, or comparable Mac. If you want to use huge dictionaries or many images, more memory is always useful."
Does anyone know what data structure? Why not use it in modern word processors?
The other features are impressive too:
* Tempus-Word NG is based on a frame orientated layout similar to DTP programs. But contrasted to the usual method of “draw frame - connect frames - flow text” you create a general frame layout that is used automatically during text input. The positions of all layed-out frames is repeated automatically on all pages with this layout. You can create as many layouts as you want.
* Integrated Database
* Document manager
* Page numbering of Contents and Index listings are always up to date.
Why even bother responding to comments if you don't read them?
> because in the course of my education I was taught to conduct experiments and confirm reality for myself. I have never once found what is written about hard science in Britannica to not be in accord with my observed reality,
It's in the same sentence I mentioned Britannica!
> you’re still not checking any facts by yourself
Did you perhaps read it but not understand what my sentence meant because you don't know what an experiment is? Were you not taught to do scientific experiments in your schooling? Literally the entire point of my entire post is that I do not trust blindly, but choose who I trust based on their ability to accurately report the facts I observe for myself without fail. CNN, as with every media outlet I've ever encountered in my entire life, publishes things I can verify to be false. So too does some guy on Twitter with 100 million followers. Britannica does not, at least as it pertains to hard science.
This graph just shows the different outcomes from Monroe Doctrine vs. Marshall Plan and other stimulus.
Since the 50's, Europe and select Asian countries received large investments from the US; Latin America received coups supported by CIA and governments that sold out to foreign interests.
The Marshall Plan was a very small amount of money. It was about $150 billion in today’s money, or about 5% of GDP of the recipient nations. The U.S. and its allies spent far more in Iraq for far fewer people. And the U.S. has nothing like that for Singapore, Korea, or Taiwan.
And Monroe Doctrine was primarily in the late 19th and early 20th centuries. That doesn’t explain why Latin America got relatively rich during that period, and then fell behind once most of the intervention stopped.
Also, what counts as “support” is extremely nebulous. Which countries in Latin America had a coup where the U.S. was the but-for cause?
I believe this all stems from primordial SQL focusing on storage efficiency, and now it’s kinda hard to retrofit better data modeling ideas without better affordances.
If I started from scratch, I would get rid of UPDATE and DELETE (these would be only very special cases for data privacy), and instead focus on first class views (either batch copy or streaming) and retention policies.
AI is turning the entire web into LinkedIn itisnotaboutism.
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