JWST Galaxies Explained and AI Sees Differently than Us | Hugh Ross and Jeff Zweerink
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- Опубліковано 13 вер 2024
- Join Hugh Ross and Jeff Zweerink as they discuss new discoveries taking place at the frontiers of science that have theological and philosophical implications, including the reality of God’s existence.
JWST Galaxies Explained
The James Webb Space Telescope (JWST) has revealed that early galaxies have much brighter ultraviolet luminosities than many big bang creation models predicted. Do such data challenge the creation view? Further research suggests not. Using a computer simulation, astronomers have found that the standard big bang creation models can still accommodate the new data from JWST. Their conclusions remain consistent with the findings reported in the Stars, Cells, and God episode #79 on the “Source of Heavy Elements”, aired on November 29, 2023.
AI Sees Differently than Us
As AIs (artificial intelligence) mimic more and more human behavior, the question continues to arise of whether AI is truly intelligent or not. One way to assess the data is to understand whether the AI does things differently than a human. In the arena of image and audio recognition, AIs have advanced tremendously, but there are some noticeable discrepancies between AI and human categorization. Research into one type of discrepancy shows that humans and AIs really do see the world differently-and those differences highlight important defining features of humanity.
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LINKS & RESOURCES -
JWST Galaxies Explained
Guochao Sun et al., “Bursty Star Formation Naturally Explains the Abundance of Bright Galaxies at Cosmic Dawn,” doi.org/10.485...
Kaspar Elm Heintz, “Dilution of Chemical Enrichment in Galaxies 600 Myr after the Big Bang,” doi:10.1038/s41550-023-02078-7
AI Sees Differently than Us
Jenelle Feather et al., “Model Metamers Reveal Divergent Invariances between Biological and Artificial Neural Networks,” www.nature.com...
PLAYLIST - • Stars, Cells, and God
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Useful comments on how these new JWT findings affect or don’t affect the Big Bang models (unlike the click bait hype elsewhere). Thanks.
On the AI topic: The problem may be with oversimplified models, rather than a genuine feature of the neural network approach. The original paper states: "Notably, the human recognizability of a model’s metamers was well predicted by other models’ recognition of the same metamers, suggesting that the discrepancy with humans lies in idiosyncratic model-specific invariances." In other words, the AI models are to simplistic, the new patterns that humans cannot recognize are artifacts of a specific model. They disappear if an entire ensemble of models must agree, not just a single model.
If a neural network is trained on dogs and cats, what would it say when shown a culpeo, a margay, a fossa, a hyena, a bear, or a horse?
If you can imagine what 1924 looked like versus today; you have some inkling of how different 2124 will be from today. Given the accelerated pace of change however, 100 years from now AI or Robotics will do most of our complex thinking and tasks for us.
Inspire of our advance tech, we human are still stressed up, inspire of the ax, we have chain saws, laundry - washing machines, math problems- calculator, flows - tractors, mails - telegraphs, phones,internets etc, yet look at humanity, even with Ai humans will always be d same, dissatisfied
The clear difference is that humans have experience dating back thousands of years.
AI has no experience other than what is programmed in. That's Not Experience and Never will be.