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General Hardware Talk / Butler In A Box (1983)

« Last post by MikeB on Today at 09:39:06 am »

This is a fun video about Butler In A Box, sold from 1983-2000.

It was sold as voice recognition hardware (for up to 4 different users) that could respond as a bulter and turn on different electric items in the house. Lamp, TV, etc.

It had a huge price tag and notoriety for two decades in futuristic home wares, but does not have one mention in wikipedia as a standout in AI/voice recognition.

AI News / AI controlled F-16, for real!

« Last post by frankinstien on May 04, 2024, 01:04:11 am »

Interesting article and the implementation of 1,000 aircraft controlled by AI is the tipping scale. Those nations that can harness AI don't need to sacrifice lives to win wars. Welcome to the game of World Domination, or more like the 1983 movie WarGames: "Shall We Play a Game?"

Haptek / Re: Haptek rises from the ashes

« Last post by Freddy on May 03, 2024, 01:28:56 pm »

Ahh I see, thanks for the update

Haptek / Re: Haptek rises from the ashes

« Last post by squarebear on May 03, 2024, 07:53:52 am »

I wouldn't get too excited about this. Virtyou hasn't been active for many years. We partnered with them to make an avatar for Mitsuku about 7 or 8 years ago. The demo is still online (Chrome only), but the bot no longer responds to input. Shame really, as it was really cool when it was working and great to demo on a phone.
https://virtyou.com/mitsy/m.html

Virtyou.ai later became expressive.ai but as their website is no longer online, I guess they don't exist any more. However, there is an old Youtube video from Mobilebeat 2017, which shows Angela Ford (the CTO of Expressive.ai) presenting a demo of Mitsuku and the avatar: https://youtu.be/UljiivP9aVo?si=4dky_-_jtevrjJeF&t=166

Haptek / Haptek rises from the ashes

« Last post by Freddy on May 03, 2024, 12:27:21 am »

There is something interesting at a redirect from the old Haptek domain!

https://virtyou.com

General Project Discussion / Re: Reasoner.js: a framework for generalized theory synthesis

« Last post by ivan.moony on April 30, 2024, 07:37:57 pm »

Done some rethinking about service virtual machines, and my framework conceptualization slowly fits into a shape decent enough for implementing: https://svm-suite.github.io/

General Project Discussion / Re: Project Acuitas

« Last post by WriterOfMinds on April 30, 2024, 05:36:37 pm »

This past month, I started adding proper support for "issue trees," a feature whose absence has pained me as I've worked on the Narrative and Game Engines. Problems and goals seem to naturally exist in a hierarchy: any problem spawns a plan for solving it, which can contain new tasks or subproblems that require their own solutions, and so on until one reaches atomic actions that can be performed without issue. The Narrative understanding code already included some procedures for inferring extra issues from those explicitly stated in a story. But after they were created, no connection was maintained between parent and child issues.

So my work included adding the proper tree relationships, plus some code that would enforce the recursive cascade of issue deactivation when a problem is solved or a goal realized, and testing to be sure this worked correctly in Narrative and didn't break anything in the Game Engine.

I have also been pushing hard to get that previously-mentioned knowledge representation refactoring finished. I got to the point of bringing the reformatted semantic database online and moving a lot of changes into the live code - but I did not quite get it finished, so if the Acuitas codebase were a business, it would have "pardon our dust" signs everywhere. He can at least read stories without crashing, and get through a rudimentary "Hello, my name is ..." conversation, but there are a lot of bugs for me to clean up yet. I'm planning to revise the Conversation area soon anyway, though, so maybe it's okay?

More on the blog: https://writerofminds.blogspot.com/2024/04/acuitas-diary-71-april-2024.html

Video / Re: The Action Lab - I Broke ChatGPT With This Paradox

« Last post by ivan.moony on April 28, 2024, 01:54:59 pm »

The problem with NNs is that they don't distinguish lies from the truth. They just learn all the input->output pairs without critical opinion, possibly with some good generalization magic.

To detect lies, one approach may be to build a symbolic model of the stories told. Feeding statements one by one, we can detect if the new statement is in contradiction to already accepted statements. Of course, there can be any combination of statements that may hold the truth, but the combination should be mutually non-contradicting (in the sense of theorem proving).

When the contradicting statement is detected, another problem may be in deciding whether to keep the current theory and to reject the new statement, or to start building a new theory based on the new statement.

So, I believe that's a missing piece required to build an AGI: a non-contradicting model of the world.