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AI News / Re: OpenAI Speech-to-Speech Reasoning Demo

« Last post by 8pla.net on March 28, 2024, 01:23:07 pm »

A Few Constructive Criticisms:

In my opinion, it seems...

• Everything (robot, table, items) has a fixed location.
• The stimulus is scripted for keyword recognition.
• The responses are simply a generative AI application.
  

These criticisms are not complaints about this video.
They are for chat purposes about how this may work.

Are my opinions, correct or incorrect?  What do you think?

92

Video / Garbage - The World Is Not Enough

« Last post by 8pla.net on March 28, 2024, 12:48:41 pm »

93

General Chat / A rather dark question...

« Last post by ivan.moony on March 27, 2024, 05:04:54 pm »

Any opinions, maybe?

94

General Chat / Death in complex organisms is deliberate

« Last post by frankinstien on March 24, 2024, 12:15:45 am »

For decades now the issue of aging and eventual death have been topics where some argue death is not something life implements as an adaptation. But looking at Salmon one can see that death in that organism is deliberate as the process is induced after the fish procreates. Well if it's deliberate in Salmon might it also be deliberate in other organisms? The reason this issue has even come up is I have another dog coming to that stage in life where they start to have health issues. Many argue the occurrence of cancer in the aged human population is due to prolonged exposure to carcinogens. If that were the case then why does it happen to dogs and even mice as they get older since they live much shorter lives and therefore are less exposed than humans with respect to time? 

Now I'll introduce the Thymus, it's an organ located in your chest and is responsible for T-cell production, and guess what? It shrinks over time and that shrinkage starts at birth! The less Thymus tissue you have the more vulnerable you are to infectious disease and cancers. The T-cells can detect cancer cells and as the Thymus shrinks it produces fewer T-cells and could get damaged from this shrinkage to produce malformed T-cells.

It would appear that death is deliberate since the Thymus is on an involution path that's genetically controlled. It would appear species have to reproduce frequently enough to cope with their genetic death sentence. So, we can see that life developed this approach as a species adaptation that is reinforced through natural selection. This means the life span of organisms is intrinsic to a species' viability.

Of all the mammals bowhead whales have the longest life span, 200 years! It would be interesting to study the bowhead's Thymus and its genetic differences from other animals including humans. If we can apply genetic tools to the bowhead Thymus, including AI, we might be able to triple human life spans...


https://en.wikipedia.org/wiki/Thymic_involution#:~:text=Under%20certain%20circumstances%2C%20the%20thymus,infections%2Cpregnancy%2C%20and%20malnutrition.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222953/#:~:text=The%20incidence%20of%20most%20common,immune%20function%2C%20termed%20immune%20senescence.

https://oceanservice.noaa.gov/facts/bowhead.html#:~:text=Scientists%20agree%20that%20the%20bowhead,in%20the%20contemporary%20animal%20kingdom.

95

AI News / Re: Say good-bye to GPUs...

« Last post by MikeB on March 23, 2024, 09:23:52 am »

It's the same statistical guessing method, except more broadband....

The day compression architectures come into play (preserving key information) then it can be done with less compute and GPUs aren't necessary anymore...

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AI News / Say good-bye to GPUs...

« Last post by frankinstien on March 20, 2024, 10:01:55 pm »

Here's a method to do classifications without any traditional GPU  or CPU, it's done with a single fiber optic cable!

97

General Chat / Neuron clustering

« Last post by frankinstien on March 19, 2024, 12:26:51 am »

From this study, it appears that there is a common pattern of connectivity and clustering in mammalian brains. When looking at the layering of mammal brains: paleo, archicortex, and neo cortexes you can get a picture of what other animals may experience. For instance, the temporal immersive experience humans have is due to the hippocampus, it literally takes snaps shots of a wide array of neural activity where the system can differentiate the occurrences of events. That, and the limbic system that processes emotional states to make decisions of an anticipated outcome or experienced event. This means that the experience of being in the now but feeling that flow of events fading into the past and the anticipation of future events isn't just human since the architectural structures that perform those functions are in other animals as well.  This study furthers that assertion by validating that not only is the layered structure of the brains of mammals identical but how they cluster and wire are identical as well.  Imagine not having the symbolic abilities of a human and just feeling the notions that you can feel that represent complex scenarios and relationships. I don't know how many times I've gotten an idea and it's just a feeling that I know I can translate into words, but I don't have to.

This study insinuates that human intelligence is derived from animal intelligence. But this goes even further because avian brains are architecturally different and so are octopi where avians and octopi do have the ability to empathize and avians at least, have a similar brain structure that performs an identical process to the hippocampus in mammalian brains. Because these different brain architectures exhibit identical types of processing there can be logically equivalent processes to affect the same effect. This is subtle and implies that because neurons are state machines the human experience of that temporal immersion could be experienced by an AI!

While the mammalian brain is far more complex than any AI system to date, that doesn't mean optimization could not allow for a similar sophistication. I mean look at fractals in nature, look at how complex and time-consuming the processes are to effect a fractal rendering. Fractals in landscapes can take centuries,  or millennials if not millions of years, with a decent GPU complex fractal structures of landscapes take milliseconds. So the potential to find optimized solutions to what biology has mastered is possible...

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AI News / OpenAI Speech-to-Speech Reasoning Demo

« Last post by MikeB on March 15, 2024, 08:14:02 am »

This is trending #11 on YouTube.

Speech has a solid three second delay, and responses are what you expect from the statistical analysis and middle-average contextual analysis approach.

It would be a whole new layer of interesting if responses included the own robots' survival instinct, like throwing in a few "what about me?" and "have you seen my charger?" responses, but maybe that's a bad look or conclusions could be drawn about the danger of AI in a physical sense.

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

« Last post by ivan.moony on March 09, 2024, 06:26:30 pm »

Something more from me writing things down and clearing up my thoughts. Read the almost finished paper here if you have the patience. Expect some serious stuff about functional-logic typing rules.

100

General Project Discussion / Re: Pattern based NLP & ASR

« Last post by MikeB on March 07, 2024, 07:36:41 am »

I have pages of more work on this but I'm not happy with the results just yet. Both "yes" and "no" are down by 10%.

I'm not at the peak of how far pure frequency analysis can go. Currently, spectrogram analysis is improved for frequencies under 1000hz to a high degree, which improves vowel quality/reliability. There is also some improvement to consonant quality/reliability, but there are still problems separating "n" from "y".

With "n" and "y" improved there will be a definite jump in benchmark results.

I still have one more method to try to improve spectrogram quality.

Apart from the spectrogram, only the rules for identifying consonants & vowels need to be improved.

I don't get much done over summer in Australia, but within the next three months I may return to it.

There's a lot of value in keyword spotting that's so efficient. I also have a lipsync video test in mind that uses hundreds of "yes" and "no" from the Google Speech Commands dataset, all live processed and lipsynced, which will be interesting.