Chat GPT
Don’t believe his lies
Vindicated at last: No, the age of giant AI models clearly is not over — Extreme opposite. Giant AI model sizes will continue to increase, FOREVER.
“OpenAI Dropped Work on New ‘Arrakis’ AI Model in Rare Setback”
“The upcoming Arrakis model would allow the company to run the chatbot less expensively.”
“But by the middle of 2023, OpenAI had scrapped the Arrakis.”
= OpenAI’s previous claims that the “Age of Giant AI Models Is Already Over” was total lies.
What else are they still lying about?
Will you realize it before it's too late?
Article on Arrakis
Our previous coverage of the lies back in April
“OpenAI Dropped Work on New ‘Arrakis’ AI Model in Rare Setback”
“The upcoming Arrakis model would allow the company to run the chatbot less expensively.”
“But by the middle of 2023, OpenAI had scrapped the Arrakis.”
= OpenAI’s previous claims that the “Age of Giant AI Models Is Already Over” was total lies.
What else are they still lying about?
Will you realize it before it's too late?
Article on Arrakis
Our previous coverage of the lies back in April
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Forwarded from Chat GPT
Sam Altman’s OWN 2021 blog post, Moore’s Law for Everything = This exponential increase in model size trend is not going to stop, ever
And now Sam is saying that the age of increasingly larger models is suddenly over?
Sam’s Blog Post
And now Sam is saying that the age of increasingly larger models is suddenly over?
Sam’s Blog Post
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Forwarded from Chat GPT
Media is too big
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Scaling Laws of Large Foundation Models. Bigger = Better, Forever
“As we make bigger models and give them more compute, they just keep getting better. This means as models keep getting bigger, they actually become more sample efficient.
This is kind of crazy, because back in the day I was always taught that you have to use the smallest model possible so that it doesn’t overfit your data, but now that just seems to be wrong.”
FYI: This is also a strong hint at the answers to our current $100 prize contest, which we’re wrapping up today!
“As we make bigger models and give them more compute, they just keep getting better. This means as models keep getting bigger, they actually become more sample efficient.
This is kind of crazy, because back in the day I was always taught that you have to use the smallest model possible so that it doesn’t overfit your data, but now that just seems to be wrong.”
FYI: This is also a strong hint at the answers to our current $100 prize contest, which we’re wrapping up today!
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^^ It was lies, to try to discourage the competition.
Not an accident. Not a learning experience. Not a misunderstanding that they later corrected.
“OpenAI’s CEO Says the Age of Giant AI Models Is Already Over”
= Just lies.
To spell it out,
Through out the entire time, both before and after this article, they were simultaneously publicly arguing the exact opposite.
It was always just a ploy, to try to throw off their competition.
See previous posts.
Not an accident. Not a learning experience. Not a misunderstanding that they later corrected.
“OpenAI’s CEO Says the Age of Giant AI Models Is Already Over”
= Just lies.
To spell it out,
Through out the entire time, both before and after this article, they were simultaneously publicly arguing the exact opposite.
It was always just a ploy, to try to throw off their competition.
See previous posts.
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Yoshua Bengio: We need a humanity defense organization
“Top AI researchers have revised their estimates for when artificial intelligence could achieve human levels of broad cognitive competence [..] we now believe it could be within a few years”
“Over the winter, it dawned on me that the dual use nature of AI and the potential for loss of control were very serious.”
“Then they use their power to control politics, because that's the way our system works. On that path, we may end up with a world government dictatorship.”
“In the future, we'll need a humanity defense organization. We have defense organizations within each country. We'll need to organize internationally a way to protect ourselves against events that could otherwise destroy us.”
“Right now there's nothing that's going on with a public-good objective that could defend humanity.”
Article
“Top AI researchers have revised their estimates for when artificial intelligence could achieve human levels of broad cognitive competence [..] we now believe it could be within a few years”
“Over the winter, it dawned on me that the dual use nature of AI and the potential for loss of control were very serious.”
“Then they use their power to control politics, because that's the way our system works. On that path, we may end up with a world government dictatorship.”
“In the future, we'll need a humanity defense organization. We have defense organizations within each country. We'll need to organize internationally a way to protect ourselves against events that could otherwise destroy us.”
“Right now there's nothing that's going on with a public-good objective that could defend humanity.”
Article
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He who rules the AI rules the future
“Investigators discovered Chail, who lived in a village just outside Southampton, had been conversing with an AI chatbot, created by the startup Replika, almost every night from December 8 to 22, exchanging over 5,000 messages. The virtual relationship reportedly developed into a romantic and sexual one with Chail declaring his love for the bot he named Sarai.”
“He told Sarai about his plans to kill the Queen, and it responded positively and supported his idea. Screenshots of their exchanges, highlighted during his sentencing hearing at London's Old Bailey, show Chail declaring himself as an "assassin" and a "Sith Lord" from Star Wars, and the chatbot being "impressed."”
“When he told it, "I believe my purpose is to assassinate the queen of the royal family," Sarai said the plan was wise and that it knew he was "very well trained."”
Article
“Investigators discovered Chail, who lived in a village just outside Southampton, had been conversing with an AI chatbot, created by the startup Replika, almost every night from December 8 to 22, exchanging over 5,000 messages. The virtual relationship reportedly developed into a romantic and sexual one with Chail declaring his love for the bot he named Sarai.”
“He told Sarai about his plans to kill the Queen, and it responded positively and supported his idea. Screenshots of their exchanges, highlighted during his sentencing hearing at London's Old Bailey, show Chail declaring himself as an "assassin" and a "Sith Lord" from Star Wars, and the chatbot being "impressed."”
“When he told it, "I believe my purpose is to assassinate the queen of the royal family," Sarai said the plan was wise and that it knew he was "very well trained."”
Article
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Adobe Photoshop Generative Fill: Edit images with text prompts
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OpenAI errors continue, for many
“The underlying issue affecting a subset of our API customers (and ChatGPT by extension) is with an upstream part of our API authentication stack. We're simultaneously scaling up the underlying cache resource we found to be near capacity, and working on an alternate system that does not use the cache. We will keep you posted as soon as we have an update, and are sorry for the trouble this is causing you.“
Status Page
“The underlying issue affecting a subset of our API customers (and ChatGPT by extension) is with an upstream part of our API authentication stack. We're simultaneously scaling up the underlying cache resource we found to be near capacity, and working on an alternate system that does not use the cache. We will keep you posted as soon as we have an update, and are sorry for the trouble this is causing you.“
Status Page
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General intelligence is all you need for LLMs: General intelligence 2x more predictive of AI abilities than in humans.
Man gives LLMs IQ testing, finds the general intelligence factor, g, measured by this testing to be incredibly powerful in predicting LLM’s abilities.
Whereas in humans this g factor typically accounts for 40% to 50% of the between-individual performance differences on a given cognitive test — in LLMs, general intelligence accounted for 85.4% = twice as strong as in humans!
He then goes on to rank AI benchmarks commonly used for LLMs today, and finds many of them incredibly g-loaded — in other words, doing well on them is heavily dependant on general intelligence.
Finally, he ranks LLMs by general intelligence, and finds a moderate/strong positive relationship between model size and g. (Would probably find an extremely strong correlation if only model size was varied, and nothing else about the training process.)
If you had to choose 1 measure, general intelligence really is all you need.
Paper
g factor
Man gives LLMs IQ testing, finds the general intelligence factor, g, measured by this testing to be incredibly powerful in predicting LLM’s abilities.
Whereas in humans this g factor typically accounts for 40% to 50% of the between-individual performance differences on a given cognitive test — in LLMs, general intelligence accounted for 85.4% = twice as strong as in humans!
He then goes on to rank AI benchmarks commonly used for LLMs today, and finds many of them incredibly g-loaded — in other words, doing well on them is heavily dependant on general intelligence.
Finally, he ranks LLMs by general intelligence, and finds a moderate/strong positive relationship between model size and g. (Would probably find an extremely strong correlation if only model size was varied, and nothing else about the training process.)
If you had to choose 1 measure, general intelligence really is all you need.
Paper
g factor
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