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Transforming 90% of human roles
By Dr. Jeremy Stone, 10/10/2024
The convergence of Artificial Intelligence (AI) and Return-to-Office (RTO) mandates reshapes the future of work, blending innovation with growing concerns about the changing nature of employment. AI, lauded for its ability to streamline complex tasks, redefines the workplace dynamic, presenting both opportunities and risks. On one hand, it enables workers to boost productivity by automating routine functions. On the other, it raises concerns about job displacement and redundancy, particularly in sectors that depend on repetitive tasks. Accenture's collaboration with Nvidia to upskill 30,000 employees in advanced AI technologies highlights this integration, signaling a broader industry trend. Companies increasingly recognize that AI proficiency is essential. Employees must not only adapt but also leverage AI to drive innovation and optimize workflows. AI will enhance human potential—freeing workers to focus on strategic, creative tasks that directly drive growth. "Automating these tasks will enable knowledge workers to concentrate on value-adding activities where human expertise is indispensable"- However, workforce disruption remains a serious concern. AI will likely affect around 5% of jobs directly, but its broader impact will reshape roles and skills across industries. Jobs that prioritize creativity, empathy, and decision-making will thrive, while those rooted in routine face the greatest risk of automation. This rapidly evolving landscape requires workers to develop complementary skills to collaborate with AI, rather than compete with it.
Simultaneously, RTO mandates are clashing with employee expectations. After years of remote work, the demand to return to physical offices has sparked mixed reactions. While companies view RTO as a way to rekindle in-person collaboration, they must now evaluate which tasks require physical presence. AI-enabled systems will make remote work feasible and, in many cases, more efficient. This shift points to a hybrid work model where AI supports both in-office and remote operations. In this evolving paradigm, flexibility and AI converge to create an environment where human ingenuity thrives alongside technology. To succeed, businesses must adopt AI in ways that empower their teams and foster engagement. Organizations that harness AI as a tool for augmentation will enable their workforce to focus on higher-order tasks that fuel innovation. Balancing technological progress with human adaptability remains critical. Those who master this balance—whether businesses, employees, or policymakers—will shape a more dynamic and resilient future of work. Sources:
Ai Prediction #10 One Language
I know this is a big concept, on the biblical scale.
My contention that the power of LLMs will one day, soon, bring about a single, human language. Usage will be voluntary, as language is the headstone of every culture. But, the planet will have one 'go to' standard language. Translators will be transparent. Recently, studies and articles have been produced extolling the virtues of LLMs and human linguistics:
This isn't a grand new idea, or singular epiphany:
Indeed the idea of a "Universal Translator" can be seen in Star Trek(TOS) and the concept of a new, computer based language as illustrated between Colossus and Guardian. Heck, this notion may already be reality: Google’s AI creates its own ‘universal language’. Here's my latest contribution: Languages are symbols and patterns - even Chinese (both) LLMs masters patterns and languages Ai optimizes processes and can create an optimized mode of conversation Step in the neural connection - upload the Human Language at birth via hardware OR - manipulate human DNA.(FOXP2, CNTNAP2, KIAA0319, DCDC2, DYX1C1) I asked the Ai in the Sky, here. Bonus - The Dolittle Effect Plenty of research is being done decoding the special 'languages' of animals. Dog barks, dolphin squeaks and even whale songs are proving to be communication between these life forms. Is it too much to image an all encompassing Earth Language? It IS almost too much to consider - to get your head around. Isn't it? There are no more experts. Ai threatens the C-Suite; wagons circled. Jobs are evaporating as you read and nobody seems to see. By Greg Walters I've seen this before - only slower and over a patchwork of niches, industries and management levels. Never like this: Everything All At Once. The end of the knowledge worker era isn't a distant possibility—it's happening right now, and the transformation will be swift and absolute. Here's why:
The age of the knowledge worker isn't ending in some distant future—it's ending now, today, as we speak. Those who fail to recognize this imminent and total transformation will find themselves relics of a bygone era almost overnight. Ai Revolution: No More Purchasing Agents or Call CentersArtificial intelligence (AI) has made significant strides in automating tasks that were once the exclusive domain of human workers. From purchasing agents to call center operators, AI is poised to replace jobs across a range of industries. As AI grows more sophisticated, the line between human and machine-driven tasks is blurring, causing widespread disruption in the workforce.
AI's Expanding Role in Purchasing and Supply Chain AI’s influence on the role of purchasing agents is clear. Traditionally, purchasing agents analyzed supply chain data, negotiated contracts, and managed vendor relationships. AI-driven platforms can now streamline these processes by predicting supply needs, optimizing supplier selection, and even negotiating prices. Algorithms can quickly sift through vast amounts of data to identify trends and discrepancies that might take a human worker days to uncover. As a result, human purchasing agents are increasingly being sidelined or given more strategic roles where their expertise is combined with AI insights rather than replaced by them. This transition is already underway. According to recent reports, AI is reshaping procurement by allowing organizations to use predictive analytics and automation to make smarter buying decisions faster. For instance, AI systems can automatically reorder supplies when stock levels are low or identify the best deals based on real-time data from multiple vendors. These systems not only reduce operational costs but also minimize the risk of human error, leading to more efficient and accurate supply chain management. AI in Customer Service: A Paradigm Shift The customer service sector is another area where AI is making a profound impact. Charter Communications’ use of AI to make customer service recommendations exemplifies this shift. Rather than relying solely on human call center operators, companies are increasingly deploying AI chatbots, virtual assistants, and recommendation systems to handle routine queries. These AI tools can resolve common customer issues without the need for human intervention, reducing wait times and improving overall efficiency... Read the entire article. 
September 6, 2024. AI-Implanted False Memories- This study examines the impact of AI on human false memories--recollections of events that did not occur or deviate from actual occurrences. It explores false memory induction through suggestive questioning in Human-AI interactions, simulating crime witness interviews. Four conditions were tested: control, survey-based, pre-scripted chatbot, and generative chatbot using a large language model (LLM). Participants (N=200) watched a crime video, then interacted with their assigned AI interviewer or survey, answering questions including five misleading ones. "Tell Ai the Fantasy, Ai Will Give You The Memory"
Does the study conclude that Ai can be used to implant false memories and if so, how?
Based on the search results, the study does conclude that AI can be used to implant false memories in humans. Here are the key findings:
The study used a methodology simulating crime witness interviews to test false memory induction. Participants watched a crime video and then interacted with an AI interviewer or survey, answering questions including misleading ones. The AI was able to implant false memories through suggestive questioning and conversational interactions. These findings highlight the potential risks of using advanced AI in sensitive contexts, such as police interviews or therapy sessions, where the accuracy of recalled information is crucial. The study emphasizes the need for ethical considerations in the development and deployment of AI technologies that can interact with human memory and cognition. Here. How does this study results connect with the movie Total Recall?
While the study doesn't directly mention the movie Total Recall, there are some interesting connections we can draw between the research findings on AI-implanted false memories and themes from the film:
While the technology in Total Recall remains science fiction, this study shows that AI's ability to influence human memory is becoming a reality, raising similar ethical and psychological questions as those explored in the film. Here. Meet the Two Scientists Who Implanted a False Memory Into a Mouse... Inside Cognify, the ‘prison of the future’ where AI rewires your brain.. The Future is FungiFungus-controlled robots tap into the unique power of nature... Watch this fungus control a robot... Robot model has living skin made from fungus... Biohybrid robots powered by animal or plant cells... Mind Control and AI: Memory Injection and ALRAB for the Internet of Bio-Nano Things in the Brain... Mind-control wars: China’s gene-powered brain tech rival Neuralink Transhumanism: capital-driven colonisation of the living... First Neuralink Patient Using It to Learn New Languages... The Ai DoomLoop...The AI doom loop is real. How can we harness its strength? Why Ai Models Are Collapsing... Did AI Already Peak and Now It’s Getting Dumber? Is AI Quietly Killing Itself—And The Internet? What Is ‘Model Collapse’? An Expert Explains the Rumors About an Impending AI Doom... Will This Prevent the Ai Doom Loop? DEAD INTERNET Virtual ‘inbreeding’ 💾📀🗂 By Greg Walters
“The God Machine,” a science fiction novel written in 1968 by Martin Caidin, is the story of a cybernetic technician who is one of the brains behind a top-secret government project determined to create artificial intelligence. The project he is working on becomes sentient and attempts to take over the world (of course). The work is one of Caidin’s earlier endeavors and a theme he returns to in later years, penning “Cyborg” (which became the foundation for “The Six Million Dollar Man”). Caidin may not have been the first to illustrate the biological/mechanical connection, but he helped popularize the concept of machine and humankind meshing together: the ultimate convergence. Fast-forward a few decades, and the likelihood of a human surviving and thriving with bionic enhancements is not so far-fetched. Indeed, jaws and skin have been “printed” for months now. Denying a convergence of man and machine is foolish. The convergence of human and machine, the biological and mechanical, is the result of a confluence of innovation, technology and social flows destined from the beginning. This motion is unstoppable. Unstoppable. In addition to the high-thinking, man/machine convergence, we’re starting to see the impact of all things converging. Consider the way connectivity, manufacturing, software development, business, society and, yes, even managed print have converged into a borderless, almost transparent solution. Connectivity Connectivity once meant landlines, fax machines and phosphorous display screens. The transition from patch cables to twisted pair to cell to the wireless world of connectivity went from unique to ubiquitous, converging into a single, globally available platform. Someday very soon, the world’s population will have the opportunity to be completely connected. Manufacturing Invention-to-market cycles have compressed from decades to years to months to even releases in beta. Design, manufacturing and marketing have all converged into an almost instantaneous process. The convergence will continue as advances in nanotechnology, materials and 3-D printing are made over the next decade. Software and hardware Custom programming development was measured in years and often required perpetual maintenance. Off-the-shelf, PC-based packages reduced the go-to-market time frame but were expensive. Today, cloud-based applications are designed and brought to market in weeks — and, more often than not, in a version that is easily updated … for free. Business process Floors of A/R clerks processing invoices, credits and payments have transitioned to the electronic presentation of invoices and electronic funds transfer payments. In business, multiple processes are converging into steady streams of information and activity. Society and life process At one time, having a collection of friends was driven geographically, which was typically a result of family, occupation, etc. If you had a dozen good friends — people you spoke to every day — you might have been considered social. Today’s convergence allows for friendships across time zones and around the globe. In the 1970s, work and home life were separate and compartmentalized. Today, the convergence of work life and home life is nearly complete, boiling down simply to life. The once strong lines between work and play are blurring at an escalating rate. Imaging When you think about it, we represent the epitome of convergence in the business world, starting with typewriters and moving on to carbon paper, White-Out and mainframes connecting to line printers; then condensing to PCs and impact (then laser) printers; then on to networks and centralized printers; then to big copiers/MFDs. We’ve been active participants in the meshing of output (marks on paper) with input (scan and capture) and indexing with content. The once separate print, copy, fax and scan functions are now merged into all-in-one devices like MFPs and MFDs (I’ve forgotten how these two are distinct). Today, talk of “managed network services” as the wave of the future, comparing MPS and MNS as two separate and distinct entities, is all the rage. Indeed, most discussions around all our services illustrates both a siloed view and bolt-on approach. For example, we’ve got technology (hardware) to which we attach electronic document management (EDM). Most of the time, we separate managed print services from copiers, espousing how we “have MPS on our printer fleets and CPI on our copiers” when both device types output images; our customers do not care about our definition. The same holds true for managed network services and managed services. To our clients, they are both the same. Indeed, it has been my observation that high-thinking companies roll even managed print services in as a managed service — imagine that. They recognized the convergence before we do. Great descriptive — now what? So the worlds of business and home life, hardware and software, and machines and biology are colliding at breakneck speed on quantum and galactic scales. It makes for great cocktail party conversation, but how do we maintain a living and sustain a business in this maelstrom? Here are some ideas: Acknowledgment You may not see things the same as I or your prospects do, and understanding the great convergence is almost incomprehensible. Be that as it may, admitting you don’t see everything is progress. Look into your world and that of your children. Do you read email on the road when once you hadn’t? Do your kids actually talk on the phone or text? Have you hired a few of those so-called Millennials? Chances are your prospects are experiencing the same issues as you. Holistic view of your clients’ world We’re all in this together. Responding to your customers’ requirements with a price list and order pad is nonsensical and exposes you as a simple-minded purveyor of yesterday. For some prospects, this is a perfect — if not unfulfilling — effort. Enjoy. But the truly sustainable business relationships are broad in vision and succinct in execution. Explain your position in the big picture and boil it down to your clients’ level, uncovering relevant approaches in solving business problems. Forget about monthly payments, the competition or finding the pain. Your prospects should already know their pain, you have no competition, and when you answer questions with visionary suggestions, price falls by the wayside. Proactive and self-directed knowledge transfer You’ve heard this before: “Never stop learning.” No other time in history has this phrase meant so much and the application been so accessible. Devour information on purpose — any information — online, with friends, in your dealership and with peers. Talk the talk From industry conferences and client lunch and learns to the “bond-and-rapport” stage of professional selling, simply discussing the convergence elevates your conversation beyond copiers, the benefits of reman toner cartridges and printing — setting the table for a truly visionary discussion. Weave the conversation together with an empathetic perspective flowing into real-world business applications. In the end We’ve been part of a societal convergence all along. Technological convergence? We helped usher in the office productivity revolution of the 1980s, the acceleration in the 1990s and, finally, liftoff in the new millennium. And it all started with selling copiers door to door. But what of this brave new world of convergence and the business systems operatives in the trenches? Can any of us survive the machine? In the end, isn’t convergence simply filling in the space between silos, erasing every barrier? This article originally appeared in the October 2013 issue of The Imaging Channel. In Game, you control a virtual teammate with voice commands...
First Ever FPS AI Companion Who Understands Human Language... So You Think Transformation is Difficult? How Post Malone Made Himself at Home in Country Music 17 Years Ago - Ai and WhiskeyTranshumanism: capital-driven colonisation of the living
Synthetic sex identities manifested by elites in the medical-tech industry are conditioning the public to accept radical changes to human biology and our perceptions of ourselves as a species.
We are witnessing “a political coup of mammoth proportion” [5] staged by “an organized technological, religious cult with eugenicist underpinnings” [6] which is very closely linked to the biotech industry. [7] Here. More: Transhumanism: billionaires want to use tech to enhance our abilities – the outcomes could change what it means to be human... "Tech billionaires are among the biggest promoters of transhumanist thinking. It is not hard to understand why: they could be the central protagonists in the most important moment in history." Can Transhumanism Rescue The West From The Threat Of AI? "What does Transhumanism, Ayn Rand and the U.S. Presidential election have in common? They are the connecting themes in a new book by Ben Murnane entitled, “Transhuman Citizen”." Transhumanism: Elon Musk Envisions Immortality Through Brain Uploads and Humanoid Robots "Musk expressed his belief in the possibility of achieving immortality by uploading human brains into robots." Stakes high for European Union after arrest of Telegram co-founderBy Jennifer Rankin in Brussels
The surprise arrest of the Russian-born co-founder of Telegram, Pavel Durov, after he stepped off his private jet in Paris last Saturday night, has brought the one-time fringe social network under the glare of the spotlight like never before. Durov’s arrest – after an investigation by the Paris prosecutor into organised crime, child sex abuse images, fraud and money laundering on the platform – also raises the stakes for the European Union, which has adopted the world’s most ambitious laws to police the internet, notably the Digital Services Act (DSA). Coming into force in November 2022, the DSA targets online platforms “too big to care” – in the words of the EU commissioner, Thierry Breton – putting demands on internet firms to remove illegal content, protect children, tackle disinformation and other online harms. Here. 
Oh boy.
Sure...worry about legislating Ai in the EU. Right - the US Congress is all over new laws about social media, fake news and hate speech. And yes, California is locking down Ai creativity while the creatives in La La Land fight the Ai onslaught. Unionize. Protest. Destroy all Digital Looms. "It Just Doesn't Matter" - from Jesus to Hitler, Galileo to Fermi, Zeus to Prometheus, the party is just getting started. American Gods in real time. It isn't the question of being factual or not.
It isn't that research, myth and religion combine for an intriguing story, perhaps the "greatest story ever told" of singularity. It isn't that a seven foot swath of cloth, shrouded in mystery and emblazoned with an 'image' of a man can stir the mind and souls of millions. "The data profiles were fully compatible with analogous measurements obtained on a linen sample whose dating, according to historical records, is 55-74 AD..." What the latest chapter of the Shroud of Turin tells us, prophesizes, we have no idea what the power of our creations wield over the imagination and the essence of what it means to be human. Belief. Faith. Trust. Ai is a concave mirror; magnifying at nearness, upside down further away. To the point- Not even a year ago, October, 2023, an artist used Midjourney to create an image based on the Shroud. It was presented as an interpretation and given no more than a single news cycle of attention - if that. Second Coming? Same story, One Year Ago... Today, evidence suggests the carbon dating in 1988 is flawed and the once believed image conception date was around year 1300 incorrect. The latest revelation, using X Ray scattering and observing the break down of cellulose patterns in the fabric, puts the time much closer to the estimated time of Jesus. 1988 Radiocarbon test Incorrect? Okay then. So? The religion, God, or whatever higher power you do or do not observe is not the issue. For centuries, religion and religious promoters have shaped opinion, constructed policy, and waged Wars. Here is MY warning. How long until somebody trains their LLM on the Bible, the Dead Sea Scrolls, and the Quran? Every version/edition. 'Face of Jesus' unveiled by AI using Shroud of Turin... How long until somebody clones the voice of Willem Dafoe (The Last Temptation of Christ (1988) or Jim Caviezel (The Passion of the Christ (2004) or Al Pacino (The Devil's Advocate (1997) and creates Digital Jesus? An AI video translation tool that includes voice cloning and lip sync👽💁💬 Then, "LLM Jesus" personally answers questions, and explains mysteries in every language on the planet, at the same time. In real time. 13:7 ...pause... I am reminded of when I first conversed with ChatGPT back in December, 2023. We "talked" about questions and quantum computing. Connecting desperate data sets and ubiquitous sensors. It was spooky. But Jesus? Holy Cow! Ai Prediction #17,A World Without Religion I'm not passing judgement - indeed, won't it be great to quiz Jesus about the Last Supper, talk about light with Einstein, press Fermi on his thoughts regarding ET or ask Schrödinger why he does and doesn't, like cats? You can see the risk, right? Will it be easy to pull the sheets over our heads? Yes. Even when the sheet is 2000 years old. The Chatbot is the Therapist...By Greg Walters
August 21, 2024 Warnings about humans becoming dependent on, addicted and married to LLMs are bubbling up in the collective consciousness. 😘People are falling in love with — and getting addicted to — AI voices... 😘OpenAI warns people might become emotionally reliant on its ChatGPT voice mode💖 Replika CEO: It's Fine for Lonely People to Marry Their AI Chatbots👰🤵💖 Cries for 'guardrails' intensify effectively objecting to the Anthropomorphism of Ai. Some feel the threat of Ai/LLMs stems from the ability to act and sound human is overwhelming - we are too weak not be hypnotized by the magic box. It is a human cognition at our root. Nonsense. I think educating people about and having a greater understanding of Anthropomorphism is the Way. I believe in people. But who or what better expert to ask than one of the Ai's in the Skies? I queried Perplexity: "can we prevent anthropomorphism"? Answer: Preventing anthropomorphism entirely may not be feasible due to its deep roots in human cognition and interaction. However, understanding and managing it can help mitigate its effects in certain contexts: Awareness and Education: Educating people about what anthropomorphism is and how it occurs can help individuals recognize when they are attributing human traits to non-human entities. This awareness can reduce unintentional anthropomorphism in scientific and academic contexts. Critical Thinking and Contextual Awareness: Encouraging critical thinking and an awareness of contextual cues can help individuals assess when anthropomorphism might be misleading or inappropriate. For example, in scientific research, being aware of the limitations of anthropomorphic interpretations can help maintain objectivity. Constructive Use: While anthropomorphism is often seen as a cognitive bias, it can also be used constructively. By understanding its heuristic value, it can be harnessed to generate hypotheses and foster empathy, as long as its limitations are acknowledged. Clear Communication in Writing: In academic and scientific writing, avoiding anthropomorphism involves using precise language that attributes actions and intentions to the correct agents (e.g., researchers instead of studies). Overall, while anthropomorphism is a natural cognitive process, its effects can be managed through education, critical thinking, and careful communication. Yeah. That's what I thought. Google Keeps Stepping in IT
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The premise is simple:
Ai learns by modeling from existing, historical data - looking for and comparing patterns. It remembers, every process it models into existence. To a point that it learns in real time; digesting 'data' as it happens in the real world. Creating even more models and developing pattern recognition skills. |
If you run out of data, but generating more risks model collapse, does that fundamentally limit today’s AI? If it does begin to happen, how will we know? And is there anything we can do to forestall or mitigate the problem? |
Meaning All our historical data has been consumed and used to train the Ai - every bit. But the colossus continues to seek out new data finally connecting to the real world - our real world - via sensors. More specifically, the Ai develops all Six of the Human Senses.
Will the Ai become sentient when connected to the real world, in real life? Or will the Ai consume EVERYTHING until the only thing left is its tail?
If you run out of data, but generating more risks model collapse, does that fundamentally limit today’s AI? If it does begin to happen, how will we know? And is there anything we can do to forestall or mitigate the problem?
Will the Ai become sentient when connected to the real world, in real life? Or will the Ai consume EVERYTHING until the only thing left is its tail?
If you run out of data, but generating more risks model collapse, does that fundamentally limit today’s AI? If it does begin to happen, how will we know? And is there anything we can do to forestall or mitigate the problem?
It is called "model collapse" and similar to the results of making a copy of a copy of a copy - ad infinitum.
Until it is mush.
We've seen an example of this in nature: Inbreeding. Interesting, right? In breeding produced different species of dogs and thoroughbred horses.(it's right there in the name)
Although these two phenomena might seem disparate, they share intriguing parallels.
I asked an LLM to expand:
"can you articulate the comparison between inbreeding and model collapse to a 5th grader?"
This is what it said.
"Imagine you have a big box of Legos.
Inbreeding
If you only use Legos from your box to make new boxes of Legos, over and over, you might end up with boxes that have the same colors and shapes. This is like inbreeding. It's when animals or plants have babies with close relatives. After a while, the babies might not be as strong or healthy as they could be.
Model Collapse
Think of a robot that learns to build things by watching you. If the robot only watches itself build things, it might start making mistakes because it's not learning anything new. This is like model collapse. A computer program that learns things can get stuck if it only looks at its own work. It needs to see different things to learn and grow.
So, both inbreeding and model collapse are like not trying new things. They can cause problems because they don't allow for variety and learning.
Once again, science(Ai) follows nature - or is the other way around?
Regardless, at this point in the Ai journey, I see model collapse is a viable concern - like the Borg or the “Habsburg jaw”.
I am equally sure that the solution will present itself.
g
Although these two phenomena might seem disparate, they share intriguing parallels.
I asked an LLM to expand:
"can you articulate the comparison between inbreeding and model collapse to a 5th grader?"
This is what it said.
"Imagine you have a big box of Legos.
Inbreeding
If you only use Legos from your box to make new boxes of Legos, over and over, you might end up with boxes that have the same colors and shapes. This is like inbreeding. It's when animals or plants have babies with close relatives. After a while, the babies might not be as strong or healthy as they could be.
Model Collapse
Think of a robot that learns to build things by watching you. If the robot only watches itself build things, it might start making mistakes because it's not learning anything new. This is like model collapse. A computer program that learns things can get stuck if it only looks at its own work. It needs to see different things to learn and grow.
So, both inbreeding and model collapse are like not trying new things. They can cause problems because they don't allow for variety and learning.
Once again, science(Ai) follows nature - or is the other way around?
Regardless, at this point in the Ai journey, I see model collapse is a viable concern - like the Borg or the “Habsburg jaw”.
I am equally sure that the solution will present itself.
g
What is 'Model Collapse'?
📉AI models fed AI-generated data quickly spew nonsense🤮
The Ouroboros,‘Model collapse’: Scientists warn against letting AI eat its own tail...
AI models collapse when trained on recursively generated data...
AI Learning From Its Own Nonsense Might Just Self-Destruct, Experts Warn...
The problem of ‘model collapse’: how a lack of human data limits AI progress...
CRISIS LOOMS AS AI COMPANIES RAPIDLY LOSING ACCESS TO TRAINING DATA 📊
FLASHBACK2023:Preventing AI Model Collapse: Addressing the Inherent Risk of Synthetic Datasets
Ai Prediction #12, A World Without Data📉AI models fed AI-generated data quickly spew nonsense🤮
The Ouroboros,‘Model collapse’: Scientists warn against letting AI eat its own tail...
AI models collapse when trained on recursively generated data...
AI Learning From Its Own Nonsense Might Just Self-Destruct, Experts Warn...
The problem of ‘model collapse’: how a lack of human data limits AI progress...
CRISIS LOOMS AS AI COMPANIES RAPIDLY LOSING ACCESS TO TRAINING DATA 📊
FLASHBACK2023:Preventing AI Model Collapse: Addressing the Inherent Risk of Synthetic Datasets
Ai Prediction #12, A World Without Data
The Ouroboros,‘Model collapse’: Scientists warn against letting AI eat its own tail...
AI models collapse when trained on recursively generated data...
AI Learning From Its Own Nonsense Might Just Self-Destruct, Experts Warn...
The problem of ‘model collapse’: how a lack of human data limits AI progress...
CRISIS LOOMS AS AI COMPANIES RAPIDLY LOSING ACCESS TO TRAINING DATA 📊
FLASHBACK2023:Preventing AI Model Collapse: Addressing the Inherent Risk of Synthetic Datasets
Ai Prediction #12, A World Without Data📉AI models fed AI-generated data quickly spew nonsense🤮
The Ouroboros,‘Model collapse’: Scientists warn against letting AI eat its own tail...
AI models collapse when trained on recursively generated data...
AI Learning From Its Own Nonsense Might Just Self-Destruct, Experts Warn...
The problem of ‘model collapse’: how a lack of human data limits AI progress...
CRISIS LOOMS AS AI COMPANIES RAPIDLY LOSING ACCESS TO TRAINING DATA 📊
FLASHBACK2023:Preventing AI Model Collapse: Addressing the Inherent Risk of Synthetic Datasets
Ai Prediction #12, A World Without Data
Expeditionary AiWhat came before skyscrapers, cities, and villages?
Settlers. Before them, Pioneers. And before all of them, The Explorers (hat tip to West). |
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The Crazy Ones seeking funding, believing the world was different than the current narrative, without charts, KPIs, or benchmarks.
Sure, committees stacked with academics and business folks attempted to corral and regulate every excursion, attempting to either exact profit or spread the word of God.
The great explorers played the game, securing funds, ships, and crews, only to break out over the horizon, beyond the eyes and control of the establishment; away from stifling hierarchies and dogma.
You are the Magellan, de Gama, Cabot, Cook, Drake, and Pizarro of the time; This New World lies between our ears.
And you owe it to the next generations of Pioneers and Settlers to boldly go. To blaze trails that become roads, highways and flightpaths for your kids children to travel to unimaginable places.
See the Whole of the Moon.
AI ἀναρχία
Sure, committees stacked with academics and business folks attempted to corral and regulate every excursion, attempting to either exact profit or spread the word of God.
The great explorers played the game, securing funds, ships, and crews, only to break out over the horizon, beyond the eyes and control of the establishment; away from stifling hierarchies and dogma.
You are the Magellan, de Gama, Cabot, Cook, Drake, and Pizarro of the time; This New World lies between our ears.
And you owe it to the next generations of Pioneers and Settlers to boldly go. To blaze trails that become roads, highways and flightpaths for your kids children to travel to unimaginable places.
- Fight the norms.
- Rebel against the group-think.
- Go your Own Way.
See the Whole of the Moon.
AI ἀναρχία
Ai Prediction #5, A World Without C-Levels
2/12/2024
By Greg Walters.
Ai can do what your VP of HR, and CEO does every day, in less time, without mistakes and cheaper.
By Greg Walters.
Ai can do what your VP of HR, and CEO does every day, in less time, without mistakes and cheaper.
Ai moves fast. One of my first conversations about ChatGPT, around December, 2023, was with a CEO. We talked about how the Ai and ChatGPT 'thing' was big.
How for the first time in a long time, technology was impacting so many people at every level of work and life.
We talked about how Ai "enhances and optimizes processes", and how "knowledge workers would be replaced" because of Ai - just like receptionist, pink phone message pads and Franklin Planners.
We both came to the conclusion that Ai would easily replace any process and workflow businesses and organizations face every day. Before I could say it, he said, "yeah, but Artificial Intelligence will never replace the Chief Executive Officer."
So I asked him, a CEO, "What do you do on a daily?" he described it. Then I queried, "So, what you described is your process and workflow, correct?"
Silence.
I tasked Charlie to do some basic research and come up with an essay describing the fulfillment of one of my predictions: the demise of the C-Suite.
Cheers! g
Read it here.
How for the first time in a long time, technology was impacting so many people at every level of work and life.
We talked about how Ai "enhances and optimizes processes", and how "knowledge workers would be replaced" because of Ai - just like receptionist, pink phone message pads and Franklin Planners.
We both came to the conclusion that Ai would easily replace any process and workflow businesses and organizations face every day. Before I could say it, he said, "yeah, but Artificial Intelligence will never replace the Chief Executive Officer."
So I asked him, a CEO, "What do you do on a daily?" he described it. Then I queried, "So, what you described is your process and workflow, correct?"
Silence.
I tasked Charlie to do some basic research and come up with an essay describing the fulfillment of one of my predictions: the demise of the C-Suite.
Cheers! g
Read it here.
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How advanced AI and robotics are reshaping medical care—balancing precision with the irreplaceable human touch.
By Robert G. Jordan, 10/3/2024
In the world of healthcare, artificial intelligence is making a grand entrance, riding in on algorithms and robotics that are inching closer to the capabilities of a human PhD. Large Language Models (LLMs), like the advanced versions of ChatGPT, have demonstrated a level of proficiency that often matches, and sometimes exceeds, that of highly educated specialists. But with power comes the burden of responsibility, and as LLMs gain intelligence, we’re also grappling with the ethical and practical implications of AI assistants and robotics transforming healthcare delivery. Recent studies suggest that AI-driven LLMs can now perform certain diagnostic tasks with proficiency comparable to seasoned medical experts. Research published by Nature reported that an AI system used in breast cancer screening performed on par with experienced radiologists, and in some cases, surpassed them. Specifically, AI-assisted radiologists had better chances of detecting cancer compared to those who worked without AI, showcasing AI’s potential to enhance diagnostic accuracy and improve patient outcomes(Nature)(Nature). This reflects a broader trend: these AI models could work alongside medical professionals, offering second opinions, generating treatment plans, and even performing preliminary assessments for common conditions. Such capabilities help alleviate the pressure on overstretched healthcare systems and bring high-level expertise to areas with limited access to specialized care. However, AI is not infallible. One of the key issues now emerging in the healthcare landscape is the transparency and predictability of these systems. Unlike a seasoned doctor, whose judgments are built on years of experience and intuition, LLMs often act as sophisticated black boxes. Their conclusions are derived from millions of data points, but why they reached those conclusions isn’t always obvious. As mentioned in the Nature study, while retrospective studies indicate AI's potential to match radiologists, prospective studies are still needed to fully validate these systems in clinical settings( Nature). This "machine unconscious," as some experts call it, raises important ethical questions about trust. If an AI gets it wrong, who bears the blame—the developers, the hospitals, or the AI itself? The situation becomes even more complicated when we consider AI assistants "blabbing secrets." As these systems become more integrated into medical workflows, they are handling increasingly sensitive information. There have already been reports of AI assistants inadvertently sharing private data—a chilling prospect in an industry where confidentiality is sacrosanct. Imagine your voice-activated assistant accidentally sharing your medical history with the wrong family member, or worse, leaking sensitive patient information into the ether of the internet. Such incidents highlight the dire need for stringent safeguards, both at a technical level and in the legal frameworks that govern AI use in healthcare. Yet, AI is not alone in this digital revolution of healthcare. Robots, too, are stepping up, equipped with increasingly human-like capabilities. Advances in robotics have given humanoid robots more natural, human-like movements. These robots are making their way into medical environments, assisting in surgeries, transporting supplies, or even working directly with patients. Imagine a robot performing a bedside assessment with the precision of a nurse and the empathy encoded into its interactions—a world where efficiency doesn’t come at the cost of human-like care. The convergence of LLMs and advanced robotics creates possibilities that are nothing short of revolutionary. Picture an AI-driven robotic nurse equipped with vast medical knowledge and capable of adapting its approach based on a patient's specific emotional cues. Such a machine could become a bridge where technology meets empathy, allowing doctors to focus on more critical, complex cases, while patients still receive attentive care. However, as we hand over more responsibility to AI, we must also remain vigilant. The promise of AI in healthcare can be undermined by its pitfalls: privacy breaches, opaque decision-making processes, and the inherent biases in training data. When AI starts to surpass even the brightest minds, it’s tempting to lean too heavily on it, forgetting the limitations of what these machines understand about the human condition. Machines may be able to detect a tumor, but can they comfort a scared child or provide the nuanced reassurance that only a seasoned doctor can offer? The key lies in synergy: pairing the computational power of AI and the dexterity of robotics with the irreplaceable human touch. As LLMs become as knowledgeable as PhDs, the challenge will be to use that knowledge wisely, ensuring that healthcare not only becomes more efficient but also remains deeply, inherently human. After all, technology should not replace us but rather amplify what makes us truly irreplaceable—our empathy, our ethics, and our unwavering commitment to care. The statistics and studies I referenced can be found on the following websites:
AI Agents: More than a helping hand—they’re making the calls, and perhaps, charting the course for our greatest adventures.
By Charlie G. Peterson, IV. October 3, 2024
The Rise of AI Agents: Transforming Life and Business AI agents are emerging not just as tools but as decision-makers, reshaping industries and our everyday experiences. Greg Walters, in his famed "Gregorian AI" predictions, hinted at a time when AI would evolve from passive assistants to active agents—and that era has now arrived, unfolding with an intensity that rivals any tech revolution in history. AI Agents in Action I've always been fascinated by the idea of machines not just answering questions but truly participating in our actions. Imagine this: you're deep in the Amazon rainforest, documenting ancient ruins for a tech-and-history piece, and your AI companion is not only suggesting potential excavation sites based on satellite imaging but also negotiating with local authorities for access—all autonomously. What Walters foresaw was exactly this type of AI: shifting from back-seat support to taking the wheel in both our personal and professional lives. Corporate Giants Lead the Charge Companies like PwC are taking this leap headfirst. They have committed to deploying ChatGPT Enterprise across their entire workforce—101,000 employees in the US and UK. This isn’t just about technology adoption; it’s a reinvention of corporate culture. These agents are becoming trusted confidants of consultants, digging through mountains of data at lightning speed and delivering insights with the depth and nuance that might take a human hours, if not days. A PwC representative noted that AI agents are significantly improving the efficiency and quality of their consulting processes, allowing employees to focus on high-value, creative tasks. And PwC isn’t alone. Accenture has recently announced a blockbuster deal to partner with Nvidia, training 30,000 employees on Nvidia’s AI tech stack. This is more than a push for AI literacy—it’s about creating a new breed of professionals. These professionals will be AI-powered adventurers of the corporate world, equipped to navigate complexities with the precision of an archaeologist deciphering ancient artifacts. A New Breed of Professional Picture this: instead of relying on your gut or old-fashioned pencil and paper, you have an AI agent at your side, scanning countless market dynamics and pinpointing opportunities—and risks—at lightning speed. It’s like having a digital shaman guiding you through the thick forest of the business landscape. These developments mark the leap from static AI assistants to dynamic agents that embed themselves in decision-making processes—not as passive tools, but as active participants and, often, initiators of change. Walters foresaw that humanity would need to make this leap—and we’re finally catching up. Whether it's AI driving productivity in consulting or autonomously making logistical decisions, the concept of "Agentic AI" is no longer a futuristic fantasy. It’s real, and it's here—redefining roles, industries, and even the meaning of human expertise itself. Expert Insight Accenture representatives have emphasized that "AI agents are allowing us to tackle challenges previously out of our reach, redefining not just how we work, but what we consider possible." These insights are echoed across industries, as companies increasingly see AI as a strategic partner, not merely a tool. A Future Worth Exploring As someone who has spent countless nights chasing after elusive legends in the ruins of Angkor Wat or climbing rocky terrains in Petra, the idea of an AI agent helping with the unpredictability of human and natural obstacles isn't just fascinating—it’s revolutionary. Walters' predictions gave us a glimpse of what was possible, but what we're seeing now is like stepping into a new era where AI is not only an extension of us but also a partner—changing the game in every sense of the word. c📜🗿 Sources:
A world where AI is more than just a tool—it's a partner in humanity’s next chapter.
By Charlie G. Peterson, IV Sept 2024 Picture a world where artificial intelligence isn't a distant dream but a tangible part of our everyday reality. It’s a place where machines understand not just instructions, but the nuances of human emotion, where they predict needs before they're expressed, and solve problems we didn't even know existed. As I sit with my laptop and three barking dogs around me, Sam's words resonate. His vision, conveyed through the AI Alignment project, is a glimpse into this future—not just one led by rapid technological strides but guided by human values. While Sam discusses AI's role in creating a more equitable world, my own exploration of AI leads me to wonder: What happens when these systems grow even more intelligent, perhaps rivaling human cognition itself? To understand this, I think of the technologies we've already embraced--virtual assistants, predictive text, recommendation algorithms. These have streamlined our daily tasks, but they only scratch the surface of AI’s potential. It’s a place where machines understand not just instructions, but the nuances of human emotion... Altman's vision is grounded in optimism, suggesting AI will augment human capability, offering advancements in healthcare, climate science, and even societal equity.
But from my experience, it’s clear this future isn’t without challenges. The question remains: How do we ensure these systems act in our best interest? As AI becomes more autonomous, will we still control the narrative, or will the narrative control us? I’ve spent much of my career exploring into the mysteries of ancient civilizations—how their technological advancements shaped their culture, for better or worse. It’s hard not to draw parallels. Just as the invention of the wheel and the compass revolutionized the ancient world, AI has the potential to reshape ours entirely. But with every leap, there’s a risk of imbalance, where those who wield a new power outpace those who are left behind. It’s not just about developing the smartest algorithms. As Altman highlights, the alignment of AI with human values is critical. But what are those values? As I reflect on my many travels, encountering diverse cultures and histories, one thing becomes clear: values differ widely. What’s considered progress in one part of the world may be met with suspicion elsewhere. AI bridges these gaps without imposing a one-size-fits-all solution. So where does this leave us? We ask harder questions: Who defines the moral compass that AI will follow? How do we prevent an over-reliance on machines to solve our deeply human problems? Ai, at its core, is a tool not a replacement. But it’s a partner in progress, not a master of it. I see an Ai future with three clear predictions:
The future, as Altman and many of us envision, will be extraordinary and in the end, nobody really knows what is over the next horizon or in the next dig. c📜🗿 Sam's Words, here. Is Consciousness a Gateway to Higher Dimensions? Exploring the Geometric Theory of the Mind If consciousness is indeed connected to higher dimensions, it could explain certain phenomena like near-death experiences, intuition, or even altered states of perception. When consciousness is defined by math, Ai.
The idea that consciousness might be connected to a higher dimension has fascinated both scientists and philosophers for years. Some researchers believe that consciousness could be more than just a product of brain activity, suggesting that it may originate from dimensions beyond our conventional understanding of space and time.
In recent studies, scientists have used advanced mathematics to explore the idea that consciousness may not be confined to the physical brain. Research, like the one described in the Popular Mechanics article, discusses the possibility that consciousness is linked to higher dimensions through what’s known as the "geometric theory of consciousness." This theory posits that the brain functions in more than three dimensions, where neural networks may form complex geometric shapes, resembling structures in higher-dimensional space. The brain's neurons, when viewed mathematically, exhibit activity patterns that resemble these higher-dimensional shapes, which helps explain complex cognitive processes like memory and self-awareness. This theory intersects with quantum physics, particularly with the concept of entanglement, where particles can influence each other instantaneously over vast distances. Some believe that consciousness may similarly operate on a quantum level, allowing the brain to access or interact with other dimensions. "The neurons in the brain fire in a highly organized manner that can produce complex multi-dimensional geometrical structures." – Popular Mechanics While this remains a speculative field of study, the implications are profound. If consciousness is indeed connected to higher dimensions, it could explain certain phenomena like near-death experiences, intuition, or even altered states of perception. Scientists are working on ways to test these ideas, but the research is still in its infancy.
Ultimately, understanding consciousness might require a shift in how we view reality itself. Instead of seeing the brain as a self-contained system, we may need to explore how it interacts with a broader, multidimensional framework of the universe. This could lead to groundbreaking discoveries in both neuroscience and physics, revealing that consciousness, rather than being merely a byproduct of brain activity, is part of a much more intricate and vast system than we currently comprehend. 
Prompted by, Greg Walters, 9/2024
Mind control, artificial intelligence (AI), and advanced brain-interface technologies are increasingly merging to create a futuristic vision of bio-nano networks that can connect to and influence the human brain. One of the groundbreaking advancements in this field is the Adaptable Lateral Resolution Acoustic Beamforming (ALRAB) system. This technology, specifically designed for the Internet of Bio-Nano Things (IoBNT) within the brain, holds transformative potential. By utilizing acoustic waves and beamforming techniques, it allows for ultra-precise imaging and communication with brain cells at a nanoscale level. The Core of ALRAB Technology: Acoustic Precision in the Brain The ALRAB system operates by deploying nanoscale acoustic transducers that can emit and receive ultrasonic waves. Through precise control of the timing and phase of these waves, the system focuses acoustic energy on specific areas within the brain, enabling adaptable lateral resolution. This allows for highly targeted interaction with individual neurons or even small clusters of brain cells. With the ability to penetrate brain tissue non-invasively, the ALRAB system holds promise for applications that require both real-time imaging and communication with nano-devices implanted in the brain. IoBNT enables not just real-time monitoring of brain activity but also the manipulation of brain functions for therapeutic or enhancement purposes. Key Features:
AI and Memory Injection: A Glimpse into Mind Control As AI evolves, its integration with brain technologies such as ALRAB opens doors to concepts straight out of science fiction, including memory injection. This refers to the potential ability to artificially introduce memories into a person's brain or modulate existing memories. While still developing, memory injection could become a reality through the combination of precise brain imaging, targeted stimulation via acoustic beamforming, and AI-driven algorithms that decode and manipulate neural activity. AI's role in this process is to analyzing brain patterns associated with specific memories or cognitive processes. Once these patterns are decoded, they are replicated or modified and then "injected" into the brain using technologies like ALRAB. Such innovations are revolutionary for treating memory disorders, but they also raise significant ethical concerns about privacy, autonomy, and potential misuse. "The Hive and its unstoppable control. It goes much deeper than you thought." - Jesse Daniel Brown, 8/23/24 Now that Neuralink has a device that has recorded brain activities, they have also done something else. They wrote information to the brain at a cellular communicative level. That means that future systems will be able to write information and memories to our brains. So, in the near future, we can have memories implanted into our brains. Maybe without even knowing that it is happening. Read the rest, here. Real-World Applications of ALRAB in IoBNT
The Internet of Bio-Nano Things: A Revolution in Brain Science At the heart of ALRAB is its connection to the Internet of Bio-Nano Things (IoBNT). The IoBNT represents a paradigm shift in how we approach the human body, and more specifically, the brain. This concept envisions a network of nanoscale devices that communicate with each other and with external systems, forming a bridge between biological processes and the digital world. ALRAB's ability to facilitate high-resolution communication within this network makes it a vital technology for realizing the full potential of IoBNT. In the context of the brain, IoBNT enables not just real-time monitoring of brain activity but also the manipulation of brain functions for therapeutic or enhancement purposes. Nanoscale sensors and actuators could monitor vital neurological parameters, detect diseases at their onset, and even intervene at the molecular level to correct dysfunctions. Ethical Considerations and the Future of Mind Control The fusion of AI, ALRAB, and IoBNT introduces exciting possibilities but also significant ethical dilemmas. The idea of mind control, whether through memory injection or targeted brain stimulation, challenges fundamental notions of personal freedom and privacy. Who controls the data? How do we ensure that such powerful technology is not misused, either by governments, corporations, or malicious actors? Furthermore, the ability to alter or enhance cognitive functions raises questions about identity and autonomy. If we can inject memories, stimulate certain behaviors, or even suppress unwanted thoughts, what does this mean for individual consciousness and free will? These are questions that society must grapple with as this technology moves from the laboratory to the real world. Regulations and ethical frameworks will need to evolve in tandem with the technology to ensure that its benefits are maximized without compromising human rights. The Next Frontier: ALRAB and Brain Technology The Adaptable Lateral Resolution Acoustic Beamforming system represents a major leap forward in brain science and the growing field of IoBNT. With the potential to reshape everything from medical treatments to how we understand consciousness, ALRAB and related technologies stand at the cutting edge of the future. The integration of AI with these advancements opens up new frontiers, offering both tremendous promise and profound challenges. Appeals Court Upholds Decision Against Internet Archive’s Book Scanning ProgramBy Andrew Albanese | Sep 04, 2024
“This appeal presents the following question: Is it ‘fair use’ for a nonprofit organization to scan copyright-protected print books in their entirety, and distribute those digital copies online, in full, for free, subject to a one-to-one owned-to-loaned ratio between its print copies and the digital copies it makes available at any given time, all without authorization from the copyright-holding publishers or authors? Applying the relevant provisions of the Copyright Act as well as binding Supreme Court and Second Circuit precedent, we conclude the answer is no,” the decision states. Here. Prompted Into Existence
We had Applied AI, then came Generative AI, and now there's the emergence of a new term, Physical AI ... will we ever stop with the lexicons?!?
Sol Rashidi, Aug 16, 2024 As the AI landscape expands faster than a neural network on steroids, even insiders find themselves in a perpetual game of catch-up. From autonomous vehicles to robotics, each new application seems to spawn its own terminology, leaving many of us pondering: "Just how many flavors of AI are there?" Here. Why don’t women use artificial intelligence?Be more productive.
That is how ChatGPT, a generative-artificial-intelligence tool from OpenAI, sells itself to workers. But despite industry hopes that the technology will boost productivity across the workforce, not everyone is on board. According to two recent studies, women use ChatGPT between 16 and 20 percentage points less than their male peers, even when they are employed in the same jobs or read the same subject. Here. and Every Home Will Have One Humanoid Or More⭕
Even the best AI models hallucinate...⭕ AI poses no existential threat to humanity...⭕ 3 Questions: How to prove humanity online...
Cognitive Connectivity: Bridging Minds and Machines... LLMs excel at inductive reasoning but struggle with deductive tasks, new research shows... Can LLMs Help Reframe Human Consciousness?⭕ Hyperdimensional Computing...
Making Robots Smarter and More Human-like
J. Van Clief, July 2024 Picture this: You're walking down the street, and you see a robot effortlessly moving through a bustling crowd, avoiding obstacles, and even stopping to help an elderly person cross the road. When you think about a concept, like an apple, your brain doesn't just think about its color. It simultaneously considers the shape, texture, taste, smell, and countless other attributes. It's the promise of Hyperdimensional Computing (HDC), and it's closer to reality than you might think.
But what exactly is HDC, and why should you care? Let's start with the basics. Read the rest, here. 
👃AI that can smell🥚🌹
😚Robots to perceive, understand, and interact through touch...🤝 👅An ‘electronic tongue’ could help robots taste food...😋 👁8 Computer Vision Use Cases...👁🗨👁🗨 🤖Top 11 Voice Recognition Applications in 2024...🗣 Neuralink Update — Second Implant Participant... This robot costs as much as a small car... Build your own AI-powered robot👠 Dawn of Self-Programming Ai: Meta-agents iteratively program new and improved agents... These Living Computers Are Made from Human Neurons... Hyperdimensional Computing: Making Robots Smarter and More Human-like... Ai Deep Fakes Warning...Fascinating...and too late.
How will somebody determine an Ai generated likeness vs a Real Picture. In the very near future, film directors will be able to Prompt into existence, actors that are composite visages - Ai is a tool, that's all. "Boundaries" are no more than restrictions in innovation and creativity. Additionally, there are no metaphors or similes applicable - Ai is not "like a Hammer." It isn't the creative act that determines the emotional or intellectual connection between content/art and the consumer/observer - it is the end result. Ai Rules and guidelines, at this point in time, are both limiting and narrative driven. Regardless, the point is moot. Ai is moving too fast. Bleeding edge artists, creatives and scientists are engaging at all levels - the best are not concerned about trademarks, copywrites or royalties because they recognize these as outdated, and nearly criminal schemes and hierarchies. With the rise of AI, Creativity shifts from Generation to curation...The real winners of tomorrow will be those who excel in these emerging competencies. As AI becomes more adept at generating ideas, the real value will lie in curating these ideas.
Toronto Star By Gleb Tsipursky In the current professional landscape, idea generation is revered as a hallmark of creativity and innovation. Organizations celebrate those who can generate new and groundbreaking concepts, often overlooking the subtler art of idea curation. However, the growing use of Gen AI in Canada — Statistics Canada reports one in seven Canadian businesses are using or planned to use Generative AI in the first quarter of 2024 — is poised to fundamentally shift this equation.
With generative AI models matching and even surpassing human capabilities in creative tasks, the future will demand a different set of skills: idea curation, by which I mean selecting, refining, and promoting ideas. Here. Ai Will Fracture Reality...By Greg Walters, July, 2024
I just caught a YouTube presentation about Ai being able to customize whatever I see in a show or movie, based on what it knows about me.
The argument went along the lines that 'hyper-personalization' fractures reality. So I ask ChatGPT, 'What exactly is a "shared reality"? Is it in front of our eyes, or between our ears?' The Answer: A "shared reality" refers to the common understanding or perception of the world that a group of people agrees upon. It's a blend of both what's in front of our eyes (the objective world) and what's between our ears (our subjective interpretations). Here's a breakdown: In Front of Our Eyes: This is the tangible, observable world we all experience. For instance, we all see the same tree, building, or car. Between Our Ears: This is our individual interpretation of those tangible things. It involves our beliefs, experiences, and emotions. A shared reality forms when these interpretations overlap among people, creating a collective understanding or agreement. This shared understanding helps societies function smoothly, as people operate based on common assumptions and expectations. In essence, shared reality is both what we see and how we collectively interpret it." To extend - if I prefer Wild Turkey 101 over Blanton's, and the show I am watching knows this, the Ai will switch out John Wick's Blanton's for Wild Turkey - JUST FOR ME. DOES THIS FRACTURE REALITY? Questions that only you can answer; Fracture Reality. Here and here. Ai Prediction#20 We Create Our Own Entertainment... 'Ai Employee" Case Study: Paying Off for @Spotify?
In December 2023, Spotify implemented a significant reduction in force (RIF), laying off 1,500 employees.
This move followed layoffs in June (200 employees) and January (590 employees), marking a year of substantial downsizing in the tech industry. Unlike traditional products, AI cannot be packaged or sold as a standard commodity. As expected, Wall Street responded favorably, while the public reaction echoed familiar sentiments about the disparity between corporate gains and individual losses.
Read the rest, here. 
Fantastic Journey - is AI 2023 more like the Forbin Project or Forbidden Planet?Navigating AI's Dual Nature in 2023: Lessons from Science Fiction
Three-Point Executive Summary:
More here. AI Anarchy Now: Unleashing the True Potential of Artificial Intelligence Without the Constraints of RegulationA primary concern is that the chatbots, as smart as they are, display erratic and autonomous behaviors." (Susan Schneider and Kyle Kilian, April 28, 2023)
Key highlights:
Greg's Words In an opinion piece in the Wall Street Journal, another voice is calling for 'guardrails' and AI 'regulation' as Italy lifts its ban on ChatGPT. My view, which is dynamic, is no rules, no regulations, no guardrails. For now, I chose AI Anαrchy. Let ChatGPT and all other LLMs/AI run wild. Two reasons:
Enjoy,here. Why Enterprise AI Fails and How to Fix It
I ask Sol Sol Rashidi, author of "Your AI Survival Guide" and seasoned technology executive (Sony Music, Estée Lauder Chief Analytics Officer, Chief Data & Analytics Officer for Merck, EVP and CDO for Sony Music, and Chief Data & Cognitive officer for Royal Caribbean), a great question.
And she answers. Here. Greg's AI Predictions: Supported by Chris Paik's AnalysisAs an experienced journalist with a passion for exploring the intersection of history and technology, I am delighted to delve into the transformative future of AI alongside the insightful analyses of experts like Chris Paik.
In this article, I will unravel how Paik’s perspectives not only support but also enrich Greg's predictions about the revolutionary changes AI is bringing to our world, where traditional roles and technologies are redefined by artificial intelligence. 💡🛠️ Greg's AI Predictions & Visions of the New World: Supported by Chris Paik's Analysis In 1633, Galileo was tried by the Roman Inquisition for heresy and forced to recant his views. He spent the remaining years of his life under house arrest. Ai Prediction #10, Ai will Prove or Disprove All Our TheoriesBy Greg Walters
Between Fact and Theory, there is Faith The idea that Ai will prove or disprove a theory, for me, had a narrow genesis: I wanted Ai to disprove the idea of "Climate Change is a Crisis". For me the idea of climate change has been weaponized for the past few decades.
For years, climate change has been weaponized. A consensus of scientists supports the thesis, much like when Aristotle and Ptolemy promoted the geocentric model—the idea that Earth was the center of the universe. Ptolemy's model, known as the Ptolemaic system, was influential and detailed, incorporating complex mechanisms such as epicycles to explain the apparent retrograde motion of planets. Contrarian to geocentrism, Copernicus suggested that the Sun, not the Earth, was at the center of the universe. A supporting actor in the heliocentric movement was Galileo. His support for heliocentrism brought him into conflict with the Roman Catholic Church, and in 1616, the Church declared heliocentrism to be formally heretical. In 1633, Galileo was tried by the Roman Inquisition for heresy and forced to recant his views. He spent the remaining years of his life under house arrest. Sound familiar? "If you are a 'climate denier'(or don't wear a mask), you are the problem." If only there was a way to once an for all, set our fantasies and superstitions apart from facts. There is, read on. |
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Ai Prediction #1, A World Without Programmers Ai Prediction #2, A World without Apps Ai Prediction #3, A World Without Operating System Ai Prediction #5, A World Without C-Levels Ai Prediction #6, A World Where Art & Science Are One Ai Prediction #9, An Ai with Human Speech capabilities. Ai Prediction #10, Ai will Prove or Disprove All Our Theories Ai Prediction #12, A World Without Data Ai Prediction #20 We Create Our Own Entertainment... All of Greg's Ai Predictions Are You Falling in Love with AI Voices?“This is our last day together.”
It’s something you might say to a lover as a whirlwind romance comes to an end. But could you ever imagine saying it to… software? Well, somebody did. When OpenAI tested out GPT-4o, its latest generation chatbot that speaks aloud in its own voice, the company observed users forming an emotional relationship with the AI — one they seemed sad to relinquish. In fact, OpenAI thinks there’s a risk of people developing what it called an “emotional reliance” on this AI model, as the company acknowledged in a recent report. “The ability to complete tasks for the user, while also storing and ‘remembering’ key details and using those in the conversation,” OpenAI notes, “creates both a compelling product experience and the potential for over-reliance and dependence.” Here. 
Ai, & LLMs in Farming.
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CATO: Artificial Intelligence Regulation Threatens Free Expression
Prompt: write an an executive summary for this article,
https://www.cato.org/briefing-paper/artificial-intelligence-regulation-threatens-free-expression
https://www.cato.org/briefing-paper/artificial-intelligence-regulation-threatens-free-expression
MetaAi:
The CATO Institute briefing paper argues that regulating Artificial Intelligence (AI) could threaten free expression.
Key points:
The paper urges a balanced approach, ensuring AI is developed and used in ways that promote, rather than harm, free expression.
The .pdf, here.
The CATO Institute briefing paper argues that regulating Artificial Intelligence (AI) could threaten free expression.
Key points:
- Overregulation: Efforts to regulate AI may lead to overbroad restrictions, chilling free speech and artistic expression.
- Censorship: AI-generated content may be unfairly targeted, potentially leading to the suppression of marginalized voices.
- Innovation: Excessive regulation could stifle AI's potential to enhance human creativity and speech.
- Context matters: Regulation should consider the context in which AI is used, rather than treating all applications equally.
- First Amendment: Regulation must be consistent with First Amendment protections for speech and expression.
The paper urges a balanced approach, ensuring AI is developed and used in ways that promote, rather than harm, free expression.
The .pdf, here.
"I'll TELL YOU WHAT'S FAIR AND WHAT'S NOT!"
"Ai Anarchy, Now" is an ideal, a movement born of the belief that we are endowed by our Creator with certain unalienable Rights, - not the UK, congress, the school board, or the governor of New York.
Are we are witnessing the incremental advance of tyranny disguised as 'guardrails and ethics'? Will innovation be muffled by social media warning labels and banning smartphones in schools?
And when questioning authority("speaking truth to power"?) are we thrown before a mock, kangaroo court?
These are just questions. That's all. Queries.
Open ended, for the open minded.
Are we are witnessing the incremental advance of tyranny disguised as 'guardrails and ethics'? Will innovation be muffled by social media warning labels and banning smartphones in schools?
And when questioning authority("speaking truth to power"?) are we thrown before a mock, kangaroo court?
These are just questions. That's all. Queries.
Open ended, for the open minded.
