Olivia
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JJ Kelly
@INTELLOPY
The “Future Coach.” Former CEO at US Telecom. A recognized Founder of the Telecom Revolution. Author: HUMANITY’S STARSHIP (2024); INTELLOPY (2021). #INTELLOPY
Florida, USA
Joined November 2022
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The factor that determines if and how a person is productively employed is the degree to which that person has learned how to operate AI agents and robots.
https://t.co/tAZdJWvsko
Jensen Huang just killed the AI jobs panic.
Not with a forecast. With a pattern.
Huang: “The fact of the matter is PCs made us more busy. The internet made us more busy. Mobile devices made us super busy.”
Every tool that promised to free us expanded what we could reach instead.
The PC did not give accountants their afternoons back. It gave them ten times the clients.
The internet did not slow anything down. It erased the geographic limit on what one person could build.
The smartphone did not hand you time. It handed work your coordinates and never let go.
None of them reduced what we did. All of them raised what we could.
AI will not be different.
It will not give you rest. It will give you a thousand things you couldn’t have built before.
The people waiting for relief are reading the wrong pattern.
This was never about less. It was always about expanding what one person can attempt.
The panic runs on one assumption.
That labor is surplus.
Huang: “We are millions of truck drivers short. We are tens of millions of manufacturing workers short.”
The economy is not drowning in surplus labor. It is bleeding from the absence of it.
Robots are not arriving as invaders. They are arriving as reinforcements to a system already failing without them.
The collapse was already underway. The machines just showed up to a building already on fire.
Huang: “They’ll hire more people to manage more robots, hire more people, manage more agents.”
The raw work is leaving human hands. The direction of it is not.
Every company deploying agents still needs someone deciding what they’re pointed at.
The question is not whether AI replaces you.
The question is whether you learn to command it before someone who already has.
Every tool that promised less work delivered more world.
AI will be the largest expansion of that pattern in history.
You are not losing your job to a machine.
You are losing it to someone who learned to run one.
The AIPA Paradigm as the Artificial Personal (Lab) Assistant!https://t.co/8m5fJLZ73g
The ultimate end of jobs lost to AI would be corporations with no people. But why would such a business exist? Whom does it serve? Who owns it? Do assets ownership and property rights no longer exist for humans? Does posthuman corporations mean that living, conscious, thinking machines have replaced humans in evolution?
https://t.co/0oguGqcyCK
@ianmiles This isn’t the end of humans in organizations —
it’s the end of humans in execution loops.
Pure AI and robotics will dominate throughput.
Humans remain where goals are set, legitimacy is earned, and failure is owned.
The shift is vertical, not existential.
This is why AGI is not imminent.
https://t.co/2HWUwCyssV
Yann LeCun says basing agentic systems on the current LLM paradigm is a recipe for disaster
Intelligent behavior requires a world model to predict the consequences of actions, which LLMs do not have
"the basic architecture is not there"
This is the essential reason that AGI is not imminent.
https://t.co/3SmOf2wuKC
Yann LeCun's new interview - explains why LLMs are so limited in terms of real-world intelligence.
Says the biggest LLM is trained on about 30 trillion words, which is roughly 10 to the power 14 bytes of text.
That sounds huge, but a 4 year old who has been awake about 16,000 hours has also taken in about 10 to the power 14 bytes through the eyes alone. So a small child has already seen as much raw data as the largest LLM has read.
But the child’s data is visual, continuous, noisy, and tied to actions: gravity, objects falling, hands grabbing, people moving, cause and effect. From this, the child builds an internal “world model” and intuitive physics, and can learn new tasks like loading a dishwasher from a handful of demonstrations.
LLMs only see disconnected text and are trained just to predict the next token. So they get very good at symbol patterns, exams, and code, but they lack grounded physical understanding, real common sense, and efficient learning from a few messy real-world experiences.
---
From 'Pioneer Works' YT channel (link in comment)
This is the essential reason that AGI is not imminent.
https://t.co/3SmOf2vWV4
Yann LeCun's new interview - explains why LLMs are so limited in terms of real-world intelligence.
Says the biggest LLM is trained on about 30 trillion words, which is roughly 10 to the power 14 bytes of text.
That sounds huge, but a 4 year old who has been awake about 16,000 hours has also taken in about 10 to the power 14 bytes through the eyes alone. So a small child has already seen as much raw data as the largest LLM has read.
But the child’s data is visual, continuous, noisy, and tied to actions: gravity, objects falling, hands grabbing, people moving, cause and effect. From this, the child builds an internal “world model” and intuitive physics, and can learn new tasks like loading a dishwasher from a handful of demonstrations.
LLMs only see disconnected text and are trained just to predict the next token. So they get very good at symbol patterns, exams, and code, but they lack grounded physical understanding, real common sense, and efficient learning from a few messy real-world experiences.
---
From 'Pioneer Works' YT channel (link in comment)
I think this is a big deal because I think eye tracking will be the dominant input method until Alter Ego or BMIs take over.
https://t.co/ipwFbjHRDS
https://t.co/t5AEIL8JfN
Evolution selected for a level of biological complexity sufficient to achieve conceptual-level consciousness in humans because it afforded an even greater improvement for survivability in a changing environment. Evolution selected for brains with the ability to form and integrate abstract mental entities (concepts) as the symbols of language representing concrete entities in reality, to detect and grasp the causality relationships between entities (extrospection), and to be aware of itself as an entity and of its mental functioning (introspection). Evolution further selected for individuals with the ability to modify their behaviors based on what they learned about reality during their lifetimes, thereby overriding past knowledge of reality obtained from ancestors via genetically provided instinct.
Being able to behaviorally respond to a broader and deeper grasp of both physical and abstract entities, including their causality relationships, and a grasp of one’s mental functioning—to be conscious of all these—and being able to override the no longer applicable instinct, resulted in an even greater increase in the individual’s ability to obtain and grasp the knowledge of how things work in its environment and even more successfully respond.
Consciousness in humans is deterministic only in so far as it depends on the brain's physical functioning and external stimuli. Without the brain and something out there to grasp, there can be no consciousness. However, the physical functioning of the brain is altered by the state of conscious awareness—thinking. This forms a recursive loop that differs between individuals because of three factors: the variability in genetically formed brain function aptitudes at birth, the external stimuli encountered during one’s life, and the choices made when applying conceptual thinking.
Given the mental machinery one was born with, the stimuli encountered and the behavioral responses to them form the neural networks in our brains as memories and thinking habits. New stimuli are processed according to previously learned neural networks. That processing either reinforces or alters existing neural networks—presently encountered stimuli and thinking about them affect future thinking and behaviors. Your brain and how you think will be different tomorrow than today because of today’s experiences. Indeed, adapting your behaviors to what you learn about your environment is why evolution selected for your form of consciousness—this is how it is supposed to work.
Consciousness is simultaneously deterministic and volitional, each term applying to different aspects of the same phenomenon. Consciousness in humans is deterministic because it is the manifestation of the physical functioning of a brain as preconditioned by prior thinking. Consciousness is also volitional in the aspect that we can choose, in any present moment, what to apply our abstract thinking faculty toward, if anything. Instinct in perceptually conscious animals provided an automatic, dictated behavioral response to perceived entities—no choice was possible. As the consequence of evolution having selected for the ability to override instinct in conceptually conscious humans, the alternative to having no choice is having choice—volition. What we encounter and choose to think about in our environment today was preconditioned by what we chose to think about yesterday, and our thinking today will precondition what we will choose to think about in the future. However, just like overriding instinct, our continually increasing knowledge of how things work in our environment, applied to a present situation, can cause us to make a thinking choice different than that which we were preconditioned for by past thinking. The ability for present thinking to precondition future thinking—experiential automation—along with the ability to override such preconditioning—volition—are together a capability for adapting our behavior during our lifetime to fit a changing environment. Therefore, evolution selected for our much more powerful, conceptual consciousness.
More... https://t.co/MWEYC53fKw
@sciencegirl The greatest threat is failure to preserve free society. https://t.co/dMnnh7jdHu
Spacial FaceTime! I can’t wait.
This is INSANE.
Apple is so confident with Personas on Apple Vision Pro that they're inviting content creators to discuss AVP using Spatial Facetime.
An interesting prediction…
This guy literally just leaked what industries will be replaced by AI first
Posts like this, that I wrote about six years ago, are more frequent now.
Hundreds of millions of people alive today, perhaps even a billion or two, will live to see the year 2500. They will look back and realize how crazy it once sounded that they would still be alive 500 years later, and how they dismissed those who claimed this as totally insane!
A big challenge for society over the next few years.
The AI job apocalypse is real! We must finally start a broad discussion about this!
"AI allows them to do more with fewer people.
He noted “a significant number of companies” have recently announced layoffs or hiring pauses, with many of them explicitly citing AI as the reason. (...)
AI and automation are boosting output, but they’re also allowing companies to do more with fewer workers, leaving the labor market softer, even while GDP stays positive."
I agree the old paradigm is dead, but entrepreneurship can’t be the only option as not everyone has the temperament, and even entrepreneurs will need others to help them.
The old paradigm: go to a good school, get a degree and get a good job... is dead.
The new paradigm: find your purpose, start a company, create and lead is our future
Entrepreneurship is the only future career .
A significant new technology, but machines that think like humans are still not on the horizon.
Another massive computing/AI breakthrough
Engineers create artificial neurons that think like real brain cells, big leap toward true AGI
Researchers at USC Viterbi School of Engineering have built artificial neurons that physically replicate how real brain cells process electrical and chemical signals, a historic step toward brain like computing and potentially AGI.
Powered by a breakthrough device called a diffusive memristor, these neurons use ions instead of electrons to compute, just like the human brain, enabling chips that are orders of magnitude smaller and more energy efficient than today’s silicon processors.
The new design, published in Nature Electronics, could revolutionize neuromorphic computing, making AI hardware that doesn’t just simulate thought but actually works like the human brain.
Ready or not, the robots are coming!
Robotic Companies in the United States
With global headquarters that are in the US.
Your GOAL is promoting consciousness in the universe. Your METHOD is reason focused on facts of reality via first principles. The book “HUMANITY’S STARSHIP” contains a concise (108 pages) explanation of the most fundamental reality-based FIRST PRINCIPLES (“Six Critical Processes”) required for your success.
https://t.co/CUdPqt4He5
@JonhernandezIA This is entropy driving evolution to create a new species, part biology, part machine, so that we will increase Intellopy in the universe! https://t.co/jVoxVwPqYw
@JonMajerowski I considered it seriously. We are products and agents of evolution, driven by entropy to awaken the universe by increasing Intellopy. I explain in my books “Intellopy” and “Humanity’s Starship.” https://t.co/ESMf96rc5d
Apple still leads the most advanced AR/VR headset, chip hardware, Vision OS operating system, and developer ecosystem. The challenge for Apple and the rest of the industry is to be able to do what the Vision Pro can do, but in ever-smaller and lighter form factors closer to “glasses.”
The Vision Pro is dead, long live the Vision Pro!
Apple just announced the second-generation Vision Pro — available starting October 22 for $3,499.
It features the new M5 chip and therefore a crisper, smoother image, improved battery life as well as performance and an all-new dual knit band.
And yes, I want it.
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