“I think I’m probably just as guilty as everybody else,” Toyota Research Institute’s (TRI) senior vice president of robotics, Max Bajracharya, admits. “It’s like, now our GPUs are better. Oh, we got machine learning and now you know we can do this. Oh, okay, maybe that was harder than we thought.”
Ambition is, of course, an important aspect of this work. But there’s also a grand, inevitable tradition of relearning mistakes. The smartest people in the room can tell you a million times over why a specific issue hasn’t been solved, but it’s still easy to convince yourself that this time — with the right people and the right tools — things will just be different.
In the case of TRI’s in-house robotics team, the impossible task is the home. The lack of success in the category hasn’t been for lack of trying. Generations of roboticists have agreed that there are plenty of problems waiting to be automated, but thus far, successes have been limited. Beyond the robotic vacuum, there’s been little in the way of breakthrough.
Say you have a cutting-edge gadget that can crack any safe in the world—but you haven’t got a clue how it works. What do you do? You could take a much older safe-cracking tool—a trusty crowbar, perhaps. You could use that lever to pry open your gadget, peek at its innards, and try to reverse-engineer it. As it happens, that’s what scientists have just done with mathematics.
Researchers have examined a deep neural network—one type of artificial intelligence, a type that’s notoriously enigmatic on the inside—with a well-worn type of mathematical analysis that physicists and engineers have used for decades. The researchers published their results in the journal PNAS Nexus on January 23. Their results hint their AI is doing many of the same calculations that humans have long done themselves.
The paper’s authors typically use deep neural networks to predict extreme weather events or for other climate applications. While better local forecasts can help people schedule their park dates, predicting the wind and the clouds can also help renewable energy operators plan what to put into the grid in the coming hours.
00:00 Intro.
01:01 ChatGPT x Neuralink.
16:45 Inserting stents into blood vessels.
26:48 Pros & Cons of Neuralink’s architecture.
31:55 Neuralink clinics.
33:51 Downloading our minds onto a Tesla Optimus Bot.
52:30 If you get a Neuralink, will you lose free will?
1:04:16 AI helping Neuralink.
1:09:55 Everyone’s brain is unique.
1:23:16 Getting a Neuralink as a baby.
1:25:20 Sleep paralysis.
1:30:01 Nanotechnology x Neuralink.
1:31:59 James has an idea for Neuralink.
1:46:22 James’ favorite answer to the Fermi Paradox.
1:55:08 Haha smile
Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.
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#Neuralink #ElonMusk #Tesla
‘Is AI Extending the Mind?’ is the second annual workshop by Cross Labs, this year held virtually from April 11 – 15, 2022. About the workshopThe extended mi…
Could we imagine a world where our minds are fused together and interlinked with machine intelligence to such a degree that every facet of consciousness is infinitely augmented? How could we explore the landscapes of inner space, when human brains and synthetic intelligence blend together to generate new structures of consciousness? Is it possible to interpret the ongoing geopolitical events through the lens of the awakening Gaia perspective?
#SyntellectHypothesis #cybernetics #superintelligence #consciousness #emergence #futurism #AGI #GlobalMind #geopolitics
“When we look through the other end of the telescope, however, we can see a different pattern. We can make out what I call the One Mind — not a subdivision of consciousness, but the overarching, inclusive dimension to which all the mental components of all individual minds, past, present, and future belong. I capitalize the One Mind to distinguish it from the single, one mind that each individual appears to possess.” — Larry Dossey
Is humanity evolving into a hybrid cybernetic species, interconnected through the Global Mind? When might the Web become self-aware? What will it feel like to elevate our consciousness to a global level once our neocortices are fully connected to the Web?
THE SYNTELLECT HYPOTHESIS: A NEW EXTENSION TO THE GAIA THEORY
In their study of the biosphere, Lynn Margulis and James Lovelock found that Earth behaves like a living organism with characteristics such as dynamic equilibrium, stability, and self-regulation, or homeostasis. They named this entity Gaia, after the Greek goddess of the Earth, and hypothesized that all life forms interact with the environment to regulate the planet’s properties. Earth’s temperature, oxygen content, and ocean chemistry have remained conducive to life for millions of years due to the regulatory effects of biological processes. As life evolves, it impacts its surroundings, leading to either stabilizing or destabilizing feedback loops. The Gaia hypothesis suggests that stabilizing states enable further biological evolution to reconfigure interactions between life and the planet.
We are only a month and a half into 2023 and it’s already proving to be a breakout year for artificial intelligence. Following the early success of AI art generators like Stable Diffusion and Midjourney, we are now seeing big tech get behind AI-powered chatbots.
NASA, meanwhile, has been using AI to help it design bespoke hardware for a while now.
Ryan McClelland, a research engineer with NASA, helped pioneer the agency’s use of one-off parts using commercially available AI. The resulting hardware, which McClelland has dubbed “evolved structures,” looks a bit alien even by his own admission. “But once you see them in function, it really makes sense,” he added.
THE HAGUE, Netherlands (AP) — The United States launched an initiative Thursday promoting international cooperation on the responsible use of artificial intelligence and autonomous weapons by militaries, seeking to impose order on an emerging technology that has the potential to change the way war is waged.
“As a rapidly changing technology, we have an obligation to create strong norms of responsible behavior concerning military uses of AI and in a way that keeps in mind that applications of AI by militaries will undoubtedly change in the coming years,” Bonnie Jenkins, the State Department’s under secretary for arms control and international security, said.
She said the U.S. political declaration, which contains non-legally binding guidelines outlining best practices for responsible military use of AI, “can be a focal point for international cooperation.”