#AI makes human cognition “Atrophied and Unprepared” #artificialintelligence
2/12/2025, 3 engagements
Filtering by: artificialintelligence · clear filter
#AI LLM models predict the next letter by using their knowledge of language and context to make an educated guess!
#ArtificialIntelligence #ELI5
Imagine you have a big box of letters and words that you've learned from reading a lot of books, articles, and conversations.
When you want to find the next letter in a sentence, the language model looks at the letters and words that have come before it.
Here's how it works in simple steps:
- Understanding Context: The model looks at the words and letters already in the sentence to understand what makes sense next.
For example, if the sentence starts with "The cat is," it knows that the next word might be something like "sleeping" or "playing."
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Probability: The model has learned from all the text it has seen which letters and words are likely to come next. It uses this knowledge to guess the most probable next letter or word.
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Choosing the Best Option: After considering all the possibilities, the model picks the letter or word that it thinks fits best based on what it has learned.
Deep Sick…
How did the Chinese #DeepSeek build a model so good, so quickly and so cheaply; do they know something American AI labs are missing?
https://open.substack.com/pub/thealgorithmicbridge/p/deepseek-is-chinese-but-its-ai-models
#AI #ArtificialIntelligence
These two outputs for the prompt “Will Smith eating spaghetti” are just one year apart.
At this rate, by the end of the year we’ll have feature-length #AI movies indistinguishable from traditional ones.
#ArtificialIntelligence
1/5/2025, 8 engagements
#AI and the end to all things.
#ArtificialIntelligence #longread
”…the ocean of behavioral data (data about what we do), in the coming years will feed straight into #artificialintelligence systems. And these systems will remain, to human eyes black boxes. Throughout this process, we will rarely learn about the ‘tribes’ (a statistical group) we belong to or why we belong there. In the era of machine intelligence, most of the variables will remain a mystery” #AI #privacy
#AI, the great equalizer?
#Artificialintelligence (AI) has often been hailed as having the potential to be the great equalizer - a technology that could help alleviate global inequalities. However, when we examine the development and deployment of AI systems through the lens of complicated, emergent systems, it becomes clear that AI will likely follow the tendency of new technologies to exacerbate rather than ameliorate inequality.
A core reason AI will not necessarily be an equalizing force is what we might call "the problem of unequal data." The datasets used to train AI systems reflect wider socio-economic disparities and biases. Facial recognition systems, for example, have been shown to work less accurately for non-white populations. As long as the underlying data reflects existing inequalities, AI will likely propagate and amplify those divides. Treating AI as an impartial, egalitarian technology ignores how it emerges from and interacts with complex human systems and institutions.
Relatedly, while AI could improve efficiency and access to services like healthcare for disadvantaged groups, current development trajectories suggest the benefits will likely accrue disproportionately to the already privileged. Those with more resources can dedicate them to harnessing AI, attracting talent to develop new systems towards their own ends. Rather than mitigating inequality, rewards follow the tendency of capitalist markets to centralize resources within dominant groups. Even public goods like healthcare risk optimizing more for those already well-served by the system.
Finally, increasing reliance on algorithmic decision-making shifts power into technical systems that few understand and have oversight over. This creates potential vulnerabilities and blindspots - dynamics that historically have harmed marginalized communities most. It remains an open question whether governance mechanisms can be established ensuring AI systems answer equally across populations.
The dream that technological progress leads inevitably to greater equality is a stubborn one. But if we have learned anything about complex emergent systems, it is that technology alone does not correct entrenched societal issues—and often exacerbates them. AI is no exception; technological change depends fundamentally on how human values and institutions guide its development. True progress requires conscientious steering of that process towards justice and empowerment for all people. AI will do little to challenge status quos if we do not intentionally shape it to do so.
Strategic thinking in #AI should not follow predetermined paths but embrace the chaotic dynamics of evolution. #artificialintelligence #strategy
The first major attempt at establishing a true field of #artificialintelligence was the Dartmouth workshop in 1956. This would see some of the foremost minds in the fields of mathematics, neuroscience, and computer sciences come together to essentially brainstorm on a way to create what they would term ‘artificial intelligence’, following the more common names at the time like ‘thinking machines’ and automata theory.
Despite the hopeful attitude during the 1950s and 1960s, it was soon acknowledged that Artificial Intelligence was a much harder problem than initially assumed. Today, #AI capable of thinking like a human is referred to as artificial general intelligence (#AGI) and still firmly the realm of science-fiction. Much of what we call ‘AI’ today is in fact artificial narrow intelligence (#ANI, or Narrow AI) and encompasses technologies that approach aspects of AGI, but which are generally very limited in their scope and application.
Most ANIs are based around artificial neural networks (ANNs) which roughly copy the concepts behind biological neural networks such as those found in the neocortex of mammals, albeit with major differences and simplifications. ANNs like classical NNs and recurrent NNs (RNNs) — what’s used for #chatGPT and Codex — are programmed during training using backpropagation, which is a process that has no biological analog.
Essentially, #RNN-based models like chatGPT are curve fitting models, which use regression analysis in order to match a given input with its internal data points, the latter of which are encoded in the weights assigned to the connections within its network. This makes NNs at their core mathematical models, capable of efficiently finding probable matches within their network of parameters. When it comes to chatGPT and similar natural language synthesis systems, their output is therefore based on probability rather than understanding. Therefore much like with any ANN the quality of this output is is highly dependent on the training data set.
The Regulatory Capture of #ArtificialIntelligence by Big Tech is pushing #AI underground. https://www.extremetech.com/computing/ai-company-plans-to-run-clusters-of-10000-nvidia-h100-gpus-in-international
I don’t like Google at all, but here are some super intriguing Google Bard Facts: • trained on a colossal dataset of 1.56 trillion words • boasts 137 billion parameters, and can generate text at a stunning speed of 10,000 words per minute • available in over 180 countries and territories • used by people in over 100 languages • named after the bards of Celtic cultures, those skilled storytellers and oral historians
#AI #artificialintelligence
Within the sphere of #ArtificialIntelligence, the notion of definitive correctness remains elusive. #AI
The #AI platform shift, led by generative AI, will create as much value as the cloud platform shift. #artificialintelligence #genAI
Imagine your 🧠 brain as a 🚀 rocket, brimming with unlimited potential and destined to explore the vast universe of #knowledge. Now, picture an advanced navigation system, an AI-powered co-pilot, guiding your rocket through this boundless journey of #learning. This thrilling combination of Brain-Machine Interfaces (BMIs) and AI in education holds the key to unlocking new frontiers of human understanding.
Just like a rocket's interface connects its onboard systems with the control center, BMIs bridge the gap between our brains and external devices. Through BMIs, we can seamlessly communicate with computers, accessing vast databases of information or controlling virtual learning environments with a mere thought. This revolutionary technology breaks the barriers of conventional learning, allowing us to {absorb knowledge with unparalleled efficiency}.
But what powers this cosmic voyage of learning? Enter the AI co-pilot! AI, akin to an intelligent navigator, analyses our individual learning patterns, preferences, and challenges. It provides personalised guidance, suggesting the best learning pathways and offering tailored educational content. Just as a co-pilot optimises a rocket's trajectory, AI optimises our learning experience, ensuring we reach new heights of knowledge.
Together, BMIs and AI hold the potential to democratise education, making it accessible to everyone, regardless of their circumstances. They amplify our cognitive abilities, transforming us into knowledge-hungry explorers, eager to push the boundaries of understanding. As we venture further into this dynamic learning universe, we empower ourselves and pave the way for a future where the pursuit of knowledge knows no bounds.
So, buckle up and prepare for the awe-inspiring journey ahead! 🚀 🌙
With Brain-Machine Interfaces and #artificialintelligence as our guiding ✨ stars, education is poised to become a thrilling adventure of exploration, curiosity, and enlightenment.
Imagine your 🧠 brain as a 🚀 rocket, brimming with unlimited potential and destined to explore the vast universe of #knowledge. Now, picture an advanced navigation system, an AI-powered co-pilot, guiding your rocket through this boundless journey of #learning. This thrilling combination of Brain-Machine Interfaces (BMIs) and AI in education holds the key to unlocking new frontiers of human understanding.
Just like a rocket's interface connects its onboard systems with the control center, BMIs bridge the gap between our brains and external devices. Through BMIs, we can seamlessly communicate with computers, accessing vast databases of information or controlling virtual learning environments with a mere thought. This revolutionary technology breaks the barriers of conventional learning, allowing us to {absorb knowledge with unparalleled efficiency}.
But what powers this cosmic voyage of learning? Enter the AI co-pilot! AI, akin to an intelligent navigator, analyses our individual learning patterns, preferences, and challenges. It provides personalised guidance, suggesting the best learning pathways and offering tailored educational content. Just as a co-pilot optimises a rocket's trajectory, AI optimises our learning experience, ensuring we reach new heights of knowledge.
Together, BMIs and AI hold the potential to democratise education, making it accessible to everyone, regardless of their circumstances. They amplify our cognitive abilities, transforming us into knowledge-hungry explorers, eager to push the boundaries of understanding. As we venture further into this dynamic learning universe, we empower ourselves and pave the way for a future where the pursuit of knowledge knows no bounds.
So, buckle up and prepare for the awe-inspiring journey ahead! 🚀 🌙
With Brain-Machine Interfaces and #artificialintelligence as our guiding ✨ stars, education is poised to become a thrilling adventure of exploration, curiosity, and enlightenment.
Imagine your 🧠 brain as a 🚀 rocket, brimming with unlimited potential and destined to explore the vast universe of #knowledge. Now, picture an advanced navigation system, an AI-powered co-pilot, guiding your rocket through this boundless journey of #learning. This thrilling combination of Brain-Machine Interfaces (BMIs) and AI in education holds the key to unlocking new frontiers of human understanding.
Just like a rocket's interface connects its onboard systems with the control center, BMIs bridge the gap between our brains and external devices. Through BMIs, we can seamlessly communicate with computers, accessing vast databases of information or controlling virtual learning environments with a mere thought. This revolutionary technology breaks the barriers of conventional learning, allowing us to {absorb knowledge with unparalleled efficiency}.
But what powers this cosmic voyage of learning? Enter the AI co-pilot! AI, akin to an intelligent navigator, analyses our individual learning patterns, preferences, and challenges. It provides personalised guidance, suggesting the best learning pathways and offering tailored educational content. Just as a co-pilot optimises a rocket's trajectory, AI optimises our learning experience, ensuring we reach new heights of knowledge.
Together, BMIs and AI hold the potential to democratise education, making it accessible to everyone, regardless of their circumstances. They amplify our cognitive abilities, transforming us into knowledge-hungry explorers, eager to push the boundaries of understanding. As we venture further into this dynamic learning universe, we empower ourselves and pave the way for a future where the pursuit of knowledge knows no bounds.
So, buckle up and prepare for the awe-inspiring journey ahead! 🚀 🌙
With Brain-Machine Interfaces and #artificialintelligence as our guiding ✨ stars, education is poised to become a thrilling adventure of exploration, curiosity, and enlightenment.
Imagine your 🧠 brain as a 🚀 rocket, brimming with unlimited potential and destined to explore the vast universe of #knowledge. Now, picture an advanced navigation system, an AI-powered co-pilot, guiding your rocket through this boundless journey of #learning. This thrilling combination of Brain-Machine Interfaces (BMIs) and AI in education holds the key to unlocking new frontiers of human understanding.
Just like a rocket's interface connects its onboard systems with the control center, BMIs bridge the gap between our brains and external devices. Through BMIs, we can seamlessly communicate with computers, accessing vast databases of information or controlling virtual learning environments with a mere thought. This revolutionary technology breaks the barriers of conventional learning, allowing us to {absorb knowledge with unparalleled efficiency}.
But what powers this cosmic voyage of learning? Enter the AI co-pilot! AI, akin to an intelligent navigator, analyses our individual learning patterns, preferences, and challenges. It provides personalised guidance, suggesting the best learning pathways and offering tailored educational content. Just as a co-pilot optimises a rocket's trajectory, AI optimises our learning experience, ensuring we reach new heights of knowledge.
Together, BMIs and AI hold the potential to democratise education, making it accessible to everyone, regardless of their circumstances. They amplify our cognitive abilities, transforming us into knowledge-hungry explorers, eager to push the boundaries of understanding. As we venture further into this dynamic learning universe, we empower ourselves and pave the way for a future where the pursuit of knowledge knows no bounds.
So, buckle up and prepare for the awe-inspiring journey ahead! 🚀 🌙
With Brain-Machine Interfaces and #artificialintelligence as our guiding ✨ stars, education is poised to become a thrilling adventure of exploration, curiosity, and enlightenment.
#OpenAI's training FLOPS for #GPT4 amount to a staggering ~2.15e25. This training was conducted over 90 to 100 days using around 25,000 A100s, resulting in an estimated cost of ~ $63 million for this run alone. #artificialintelligence #AI
a glimpse into the future of governance of #artificialintelligence (#AI)