Hidden Crisis, video about existing oil crisis and what is holding up the dam

 

Comments:  The oil crisis that is occurring due to the war in the middle east is currently being mitigated by emergency reserves being drained.  But there is a limit to how long the reserves can be drained since they are a finite resource.  If the war doesn't end soon, it is expected it could result in vast economic consequences once the reserves reach critical levels and can be drained no more, thus no longer supporting the oil market.

Video about advances in biotechnology and a video about the real appearance of the dodo from de-extinction series of videos of Colossal Biosciences youtube channel

 

Comment: In this video a group of researchers talks about development of artificial eggs, it hasn't been peer-reviewed yet, but birds did successfully hatch.  It is part of the technology that they are developing to help in de-extinction of lost bird species, some of which might have eggs far bigger than those seen by any existing bird.

Comment: The video traces back to the artist who actually saw a dead preserved dodo, with talks with an art historian, and how the popularized appearance of the dodo has been compromised throughout the historical record.  How other artists produced more accurate images with actual experience with the live bird. And tells of the de-extinction initiative to try and bring it back. It's a very entertaining and educational video.

Video about molecular motor and video about synthetic biology

 

Comment: A videoregards one of the molecular motors found in nature.  Nature provides proof in principle that molecular machines including complex ones can work in the real world and are allowed by the laws of physics.  In this video they show how it moves. It has very good animation shown throughout the video. This is old news discovery, but it is an interesting one.

It is my belief that eventually the design of artificial systems making use of these, will provide a new level of technology, allowing for cheap manufacturing of complex products, as well as viable renewables that can last indefinitely as molecular machines can be made to self-repair at the atomic level indefinitely.   This will be done through advanced synthetic biology.

Comment: In this video some of the latest advancements in synthetic biology are mentioned, as well as the promise of going beyond evolution into the synthesis of novel useful materials with nanostructured properties.

But even beyond this advanced synthetic biology will eventually lead to the creation of artificial living machines that perform useful functions such as high efficiency conversion of sunlight into chemical fuels or electricity.   Through the combinations of genes from different organisms, traits such as self-regeneration and agelessness or biological immortality can be imbued into living machines in addition to unevolvable traits.

Podcast episode on artificial superintelligence

 

Comment: 

Regards intellectual tasks, things like puzzle solving, algorithm development, general problem solving, etc that's kind of what it is, things requiring mental effort.   As for asi it could go from weak asi which is better than the best human genius and prodigy at all tasks but not by much, to the possibility of a qualitative leap in the same manner that evolution produced a qualitative leap over our primate ancestors in humans.  In animals with a cortex, it is observed that the greater the neuron count in the cortex the greater the measured level of general intelligence, this is tested with a wide variety of puzzles and tests of varying degrees of complexity.   The higher the general intelligence the more complex a problem or puzzle that can be solved by the animal culminating in humans which exhibit a qualitative leap after the scaling that gave rise to the human brain.

To give a hypothetical example of what could be a qualitative leap, it has been seen that people with certain forms of synesthesia exhibit great advantages at certain tasks.  A hypothetical superintelligence might be able to control the qualia it experiences, such as we control words, it might control flavors, colors, smells, etc perhaps with elements and even sensations beyond what any of our senses can perceive.   It might also be able to communicate using these sensations, not just smells, colors, shapes, tastes, etc but sensations that we can't even imagine or comprehend.    Such a language of qualia I've previously called qualiange.  Thinking and communicating in qualiange, might allow for unknown benefits we can't currently conceive.

An asi doesn't need to predict the outcome of many complex adaptive systems to any high degree.  That might be intractable if Wolfram's irreducible computational complexity idea which affects much of the real world turns out impossible to bypass in principle.   There could exist underlying patterns even within pure perfect randomness, but that is doubtful and would be too much to hope for.   Asi only needs to be able to develop radical new technologies of unmatched power, to provide a vast advantage.   The geniuses of the Manhattan project did not need to predict anything about Germany or Japan during the war to provide the USA with a decisive advantage that lasted decades with their innovation.

My suspicion is given vast similarity is observed across animal cortical tissues, and cortical columns, it is likely that nature came up with what is possibly a theoretically optimal algorithm and has been scaling it up as neuron count increases in an animal's cortex.   This algorithm can lead to qualitative leaps with increasing scale as happened in humans.  If scaled beyond it may very well lead to additional qualitative leaps and superintelligence.  This would need the discovery of the algorithm.

AGI episode of a podcast channel

 

Comment on this podcast about general intelligence:

The human brain has a lot of apparent complexity, but it is like a fractal, simple underlying formulas lie behind the seemingly vast complexity.  It is estimated the design of the brain is less than 20MB of data in the human genome.   There are also lots of things that the brain does that are not needed for general intelligence, you don't need breathing reflex, Westermarck effect mechanisms, mate choice copying mechanisms, etc.   You only need knowledge of the cortical column algorithm, and perhaps a few accompanying structures such as hippocampus and nucleus accumbens.

comment on ai definition video by ontology explained

 

Comment: The original artificial intelligence was the state-of-the-art research in algorithms; it was basically research into anything we couldn't make computers do at the time. Things that were in the nebulous exploratory frontier that required innovation and difficult research. It was considered unrealistic and chasing a pipe dream. After an algorithm became well understood it tended to no longer be considered artificial intelligence. But over time very advanced algorithms like for game playing, search or navigation, as well as knowledge graphs, statistical classifications, and symbolic systems, etc became part of Good old Fashioned Artificial Intelligence or GOFAI. In a parallel fashion the connectionist movement advanced and eventually neural networks showed great capability in areas such as image classification, translation and language processing. These neural networks, which eventually used deep multilayered neural networks, was called deep neural networks or DNNs and was also considered part of ai, despite the algorithms becoming defined and no longer at some unknown frontier for the most part.

While this was happening there was great promise that failed to meet expectations and multiple so called ai winters took place were funding became scarce.

The most recent advancement was with the revolutionary architecture of the transformer, which gave rise to large language models, and has had various modifications and increases in model size as well as quantity of information used during training. Such improvements have led to increased capability. These latest ais, or llms, some call artificial general intelligence, but it can also be called proto agi. In some senses it is subhumans (basic errors almost no human would make, limits in scope and generality) and in some respects it is superhuman (such as encyclopedic knowledge that exceeds any human)

But as to what is artificial general intelligence? it is something that goes from subhuman artificial general intelligence to human level artificial general intelligence or beyond. General intelligence is the master algorithm; it is the algorithm that solves arbitrary problems and comes upon with solutions and algorithms in myriad domains. In animals when tested they can solve arbitrary puzzles presented to them of varying degrees of complexity. The greater the neuron count in cortex, the more complex and difficult the various types of puzzles an animal can solve. In humans there was a qualitative leap due to scaling in the cortex, and this allowed for the development of civilization and technological progress. This master algorithm, you could call it true ai, or true intelligence.

As to how to elaborate on the nature of the master algorithm that can develop or come up with almost limitless solutions and algorithms, I believe it works via pattern completion. Sequence prediction is a type of pattern completion in time. Patterns are structured information which can be interpolated or extrapolated based on the rules that define the relations between the internal elements. In reality there are spatiotemporal patterns, and the brain is designed to handle these, including when there is incomplete data.

Regards a good book on the nature of intelligence, the original book by Jeff Hawkins called On intelligence is a good resource. Though I dont quite agree with the research and path he has taken since then and which he comments on in his other book thousand brains. I believe the cortical algorithm is likely far simpler than he suggests, based on what I've seen from the neuroscience literature.

As for superintelligence or artificial superintelligence, it is believed it might be a qualitative leap on human general intelligence just as human general intelligence is a qualitative leap over the intelligence seen in primates. For example, other primates lack language and have far more limited problem-solving abilities than humans to a significant degree that kept them from developing civilization.

Video about Unsloth studio

 

comment: Youtube channel Learn Meta-Analysis goes over first impressions the unsloth studio ui.  There are many benefits to the ui, and according to the youtuber it can do video, images, and text, iirc.  Of course that depends on the loaded model.  Can also work with web based models not just local models.