Dr_Singularity
Dr_Singularity OP t1_j0wl3x7 wrote
molecular assembler is near
Dr_Singularity OP t1_izcj94u wrote
Dr_Singularity OP t1_izbyzop wrote
Dr_Singularity OP t1_iwj0ct4 wrote
Reply to Cerebras Builds Its Own (1 Exaflop) AI Supercomputer - Andromeda - in just 3 days by Dr_Singularity
It Delivers Near Perfect Linear Scaling for Large Language Models
Dr_Singularity t1_itz805i wrote
Reply to comment by Mundane-Local-2728 in First time for everything. by cloudrunner69
"they", you mean we, we(literally you, me, other people here) may be behind this simulation.
Dr_Singularity OP t1_irkrmtd wrote
Reply to MIT And IBM Researchers Present A New Technique That Enables Machine Learning Models To Continually Learn From New Data On Intelligent Edge Devices Using Only 256KB Of Memory by Dr_Singularity
The memory requirement is greatly diminished because of their system-algorithm co-design approach. When compared to cloud training frameworks, the suggested methods significantly reduce memory use by over a factor of 1000 and a factor of 100 compared to the best edge training framework can discover (MNN).
This framework saves energy and encourages practical use by decreasing the per-iteration time by more than 20 compared to dense update and vanilla system design. Their findings show that small IoT devices may make inferences, learn from experience, and acquire new skills over time.
Dr_Singularity OP t1_irc3yah wrote
Reply to comment by Shelfrock77 in “Extrapolation of this model into the future leads to short AI timelines: ~75% chance of AGI by 2032” by Dr_Singularity
yeah, quite probable it already happened
Dr_Singularity OP t1_irbj7gz wrote
Reply to comment by Mino8907 in “Extrapolation of this model into the future leads to short AI timelines: ~75% chance of AGI by 2032” by Dr_Singularity
No way we will "solve" or "finish" most of science before 2023-2025 (my AGI arrival estimate). Even after AGI/ASI, with trillion X acceleration, it will take probably thousands of years(assuming Universe and its complexity is finite), but more likely there are infinite number of combinations, things we can engineer, discover. Universe is most likely infinite.
But the good thing is that aging/human biology complexity is finite, and with advanced AI's we can fully understand it/reverse it. With reversing aging(ultimately we will transcend and won't even need tech to "repair" ourselves), we will have all the time we need to explore Multiverse
Dr_Singularity OP t1_ir7s1b9 wrote
Reply to Turns out everything is a matrix multiplication from computer graphics to training neural networks :) Our latest front cover Nature paper on AlphaTensor by Dr_Singularity
Another Nature cover for DeepMind. Huge achievement
Dr_Singularity OP t1_ir6nfzn wrote
Dr_Singularity OP t1_ir6kowl wrote
Reply to comment by Sashinii in Team behind Imagen Video showcase unique capabilities of Imagen Video, such as generating videos in different artistic styles, 3D understanding, and text rendering and animation by Dr_Singularity
I hope we will be able to find and share more breakthroughs today
Dr_Singularity t1_ir5vklc wrote
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices.
This paper is a stepping stone in DeepMind’s mission to advance science and unlock the most fundamental problems using AI.
Dr_Singularity OP t1_j0wttt9 wrote
Reply to comment by ihateshadylandlords in Printing atom by atom: Lab explores nanoscale 3D printing by Dr_Singularity
2020's - 70%
2030's - 93%+
This may seem insane to many, but my reasoning for why we can have such advanced tech so quickly is simple. We will be building 10 000's to 100 000's of narrow super AI's. In late 2020's there probably will be such net designed and fine tuned just to control the position of atoms during assembly process(I posted such net here few days ago, but what I mean is net able to control assembly process of something large like car, not just few tens of atoms), other nets to take care of real time quality check during "printing" on this atomic scale, ultra complicated patterns for macro scale things, atom by atom will also be designed and imagined by AI. And all these nets will have trillions to quadrillions(or more) of parameters.
This is assuming super AI won't emerge during the next 7 years.
What I would print...in post scarcity world, obviously our culture will change drastically. People will also change. We adapt and are getting used to new advanced tech very quickly. I don't think I will be into printing stuff I don't really need like cars, tons of gadgets. We could exprience all of this in ultrarealistic VR.
I would probably print stuff that can keep me in shape, great and diverse food, things that will be necessary to keep me in good health(regeneration pills or liquids), basic necessities like some 2030's era toothbrushes, soap (if we will still use them).
Ocasionally some nice things which I can give as a gift to friends and family.
If tech will be so advanced that we will be able to survive even accidents in space, I can print some small spacecraft and travel around our Solar System(if law will allow for such thing).
But more likely I will connect with like minded people via future version of internet and we will "Crowdfund" larger more ambitious projects which will need large, industrial scale printers, not small garage versions for personal use.
So let's say 200 000 people will get together to create a project to for example build some cool, large scale undewater city or large artifical city/hotel in space, or huge telescope. Stuff like that.
Again, for many it may sound like 2100's tech, but ultra advanced narrow AI's will accelerate our progress at least 1000 fold. More likely billion fold or more. New materials, new, powerful compact propulsion systems etc. It can all start and be ready by the end of this decade.