As usual, not encouraging:
https://nautil.us/when-will-fusion-energy-light-our-homes-259169/
Technology is advancing at an exponential rate often called the "Law of Accelerating Returns." If futurist predictions prove correct, we'll have advanced molecular manufacturing by around 2025, and possibly the replacement of humanity by vastly advanced machines a decade or two later.
This is a chronicle of our journey to that future, one advancing technology article at a time. I post the more significant and interesting articles as I come across them.
AI generates a whole short South Park episode from just a few prompts. It won’t win any awards for quality, but that AI can do this at all is very impressive:
“We have focused on the olfactory system’s role in the immune and central nervous systems, and we have confirmed that menthol is an immunostimulatory odor in animal models. But, surprisingly, we observed that short exposures to this substance for six months prevented cognitive decline in the mice with Alzheimer’s and, what is most interesting, also improved the cognitive ability of healthy young mice.”
Well this does sound impressive:
Very interesting predictions here:
“2023: Human-like NLU (DONE = GPT-4)
2023: Simple disembodied AGIs (independently can do real-world stuff, hints of DONE)
2024: Mature NLU (hallucination & task iteration robustly solved)
2024: Advanced disembodied AGIs (reliably, independently can do real-world stuff)
2025: 1000s of androids are available for under $100K (minimally dexterous but decently conversational, barely beyond prototypes, but are able to learn some tasks)
2026: Earliest possible disembodied super intelligence-based AI Singularity(more likely around 2028)
2027: Millions of androids available for under $50K (highly dexterous, perfect human-like intelligence, they can guess what to do most of the time, learn quickly and 1000s of App Store domain expertises are available)
2028: Earliest possible android-based AI Singularity (more likely around 2030)
2029: Tens of mIllions of near-super intelligent androids available for around $25K (advanced human-like in almost every way, they can build themselves)”
“And since humidity is ever-present, the harvester would run 24/7, rain or shine, at night and whether or not the wind blows, which solves one of the major problems of technologies like wind or solar, which only work under certain conditions.
Finally, because air humidity diffuses in three-dimensional space and the thickness of the Air-gen device is only a fraction of the width of a human hair, many thousands of them can be stacked on top of each other, efficiently scaling up the amount of energy without increasing the footprint of the device. Such an Air-gen device would be capable of delivering kilowatt-level power for general electrical utility usage.”
Promising but for this:
“The new battery concept is not intended for smartphones or electric cars, because the oxygen-ion battery only achieves about a third of the energy density that one is used to from lithium-ion batteries and runs at temperatures between 200 and 400 °C. The technology is, however, extremely interesting for storing energy.”
https://scitechdaily.com/scientists-invent-a-new-type-of-battery-the-oxygen-ion-battery/
Interesting, but limited so far:
“For example, in experiments, a participant listening to a speaker say, “I don’t have my driver’s license yet” had their thoughts translated as, “She has not even started to learn to drive yet.” Listening to the words, “I didn’t know whether to scream, cry or run away. Instead, I said, ‘Leave me alone!’” was decoded as, “Started to scream and cry, and then she just said, ‘I told you to leave me alone.’””
https://scitechdaily.com/not-science-fiction-brain-activity-decoder-transforms-thoughts-into-text/
AI has a consistently better bedside manner than human doctors:
Months of work with huge computers now done in seconds on an iPhone:
This is exactly the sort of step we would expect to see develop if it is true that we actually live in a virtual world:
This really feels like a technological singularity moment:
(The good stuff starts around 11 minutes in.)
I always assumed this would be the best way to train self-driving cars:
Now A.I. is able to self-reflect to improve itself! And the ability to generate truly impressive video from a prompt…the acceleration is getting faster and faster!
Robots learning without programming. https://youtu.be/cqwKceUSZ5Q?is=t9w-Ng50HBpHbMCy