100 million people use ChatGPT.
Fewer than 1% understand it.
A mega thread to get you up to speed:
Fewer than 1% understand it.
A mega thread to get you up to speed:
1950 - Turing publishes a seminal paper "Computing Machinery and Intelligence."
He discusses how to build intelligent machines and test their intelligence.
redirect.cs.umbc.edu
He discusses how to build intelligent machines and test their intelligence.
redirect.cs.umbc.edu
Between 1957 and 1974 AI flourishes.
Computers can store more information. They become faster, cheaper, and more accessible.
Machine learning algorithms also improve, and researchers get better at knowing which algorithm to apply to their problem.
Computers can store more information. They become faster, cheaper, and more accessible.
Machine learning algorithms also improve, and researchers get better at knowing which algorithm to apply to their problem.
1961 - the Unimation Company introduces the first robot designed for industrial use.
1963 - MIT develops the first neural network learning machine.
1966 - the ELIZA program is developed. It can mimic a therapist and converse in English.
youtu.be
1963 - MIT develops the first neural network learning machine.
1966 - the ELIZA program is developed. It can mimic a therapist and converse in English.
youtu.be
1988 - Judea Pearl @yudapearl publishes "Probabilistic Reasoning in Intelligent Systems."
He is credited with the invention of Bayesian networks.
This work revolutionizes the field of AI & many other branches of engineering and the natural sciences.
api.semanticscholar.org
He is credited with the invention of Bayesian networks.
This work revolutionizes the field of AI & many other branches of engineering and the natural sciences.
api.semanticscholar.org
1995 - the chatbot A.L.I.C.E (Artificial Linguistic Internet Computer Entity) is developed.
It includes natural language sample data collection on an unprecedented scale, enabled by the internet.
alicebot.org
It includes natural language sample data collection on an unprecedented scale, enabled by the internet.
alicebot.org
2000 - MIT’s Cynthia Breazeal @cynthiabreazeal develops Kismet, a robot that can recognize and simulate emotions.
2009 - Computer scientists at Northwestern University develop Stats Monkey.
It's a program that writes sports news stories without human intervention.
mediadecoder.blogs.nytimes.com,
It's a program that writes sports news stories without human intervention.
mediadecoder.blogs.nytimes.com,
Tn 2010 the Deep Learning era of AI begins.
Graphics processors like Nvidia GPUs begin to be used for training deep learning models.
They go on to become the heart of machine learning and revolutionize AI development.
zdnet.com
Graphics processors like Nvidia GPUs begin to be used for training deep learning models.
They go on to become the heart of machine learning and revolutionize AI development.
zdnet.com
Today’s generative AI models require thousands of GPUs to run.
In fact, OpenAI used 10,000 Nvidia GPUs to train ChatGPT.
techspot.com
In fact, OpenAI used 10,000 Nvidia GPUs to train ChatGPT.
techspot.com
2011 - IBM's Watson, a natural language question answering computer, competes on Jeopardy!
It defeats two former champions.
youtu.be
It defeats two former champions.
youtu.be
2015 - OpenAI is founded as a nonprofit by Elon Musk, Sam Altman, Reid Hoffman, Jessica Livingston, & others.
Their mission is to spend $1 billion to keep humanity safe from evil AI.
Musk later pulls out of the deal and OpenAI takes on corporate backers.
semafor.com
Their mission is to spend $1 billion to keep humanity safe from evil AI.
Musk later pulls out of the deal and OpenAI takes on corporate backers.
semafor.com
LLMs use advanced machine learning algorithms to understand and analyze human speech.
They are used for chatbots, virtual assistants, language translation, content creation & scientific research.
topbots.com
They are used for chatbots, virtual assistants, language translation, content creation & scientific research.
topbots.com
March 22, 2023 - more than 1000 AI experts write an open letter.
They say that "AI systems with human-competitive intelligence can pose profound risks to society and humanity."
They want a pause in training systems more powerful than GPT-4. 👇
futureoflife.org
They say that "AI systems with human-competitive intelligence can pose profound risks to society and humanity."
They want a pause in training systems more powerful than GPT-4. 👇
futureoflife.org
That's all for today, folks.
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I write about emerging technology and the future of humanity.
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For a deep dive into how ChatGPT works read this blog post from Stephen Wolfram:
writings.stephenwolfram.com
writings.stephenwolfram.com
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