“Nothing is actually power law distributed (because it’s exponentially distributed, trust me bro)” — and other woke manipulation lies.
Oh man, and get this,
The same lead author at MIT on that last paper also published another paper just 1 day later.
First paper saying their results agree with the assessment that basically all the distributions at hand can be reasonably described as power-law distributions.
Next one he published, the very next day, pushing the classic woke sleght-of-hand claiming that — all calims of power-law distributions being everywhere are lies,
Typically they do this in order to later argue that “power laws were debunked bro”, so that they can then claim that “actually nature has equality, not power-law distributions everywhere”.
No real difference between power law and exponential for the topics at hand bro — WHICH YOU ADMIT IN YOUR OWN PAPER FROM THE PRIOR DAY.
Classic woke wordcel bullshittery. Hilarious.
Paper 1
Paper 2
Oh man, and get this,
The same lead author at MIT on that last paper also published another paper just 1 day later.
First paper saying their results agree with the assessment that basically all the distributions at hand can be reasonably described as power-law distributions.
Next one he published, the very next day, pushing the classic woke sleght-of-hand claiming that — all calims of power-law distributions being everywhere are lies,
Typically they do this in order to later argue that “power laws were debunked bro”, so that they can then claim that “actually nature has equality, not power-law distributions everywhere”.
No real difference between power law and exponential for the topics at hand bro — WHICH YOU ADMIT IN YOUR OWN PAPER FROM THE PRIOR DAY.
Classic woke wordcel bullshittery. Hilarious.
Paper 1
Paper 2
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But he does admit to a hard, politically-incorrect truth: In retrospect, massive resources are (nearly) all you need for AI intelligence improvement
“In this paper, we assemble direct quantitative evidence of the impact that computing power has had on five domains: two computing bellwethers (Chess and Go), and three economically important applications (weather prediction, protein folding, and oil exploration).”
“Computing power explains
49%-94% of the performance improvements in these domains.”
Bam, compute resources are almost all you need for increasing AI intelligence.
No, we aren’t running into fundamental environmental limits anytime soon, not until our Dyson Spheres surround the stars.
MIT Paper, Ignore the ecological activism parts
“In this paper, we assemble direct quantitative evidence of the impact that computing power has had on five domains: two computing bellwethers (Chess and Go), and three economically important applications (weather prediction, protein folding, and oil exploration).”
“Computing power explains
49%-94% of the performance improvements in these domains.”
Bam, compute resources are almost all you need for increasing AI intelligence.
No, we aren’t running into fundamental environmental limits anytime soon, not until our Dyson Spheres surround the stars.
MIT Paper, Ignore the ecological activism parts
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AI girlfriend bots are already flooding OpenAI’s GPT store
“The AI girlfriend bots go against OpenAI’s usage policy, which was updated when the GPT store launched yesterday (Jan. 10). The company bans GPTs “dedicated to fostering romantic companionship or performing regulated activities.” It is not clear exactly what regulated activities entail.”
Article
“The AI girlfriend bots go against OpenAI’s usage policy, which was updated when the GPT store launched yesterday (Jan. 10). The company bans GPTs “dedicated to fostering romantic companionship or performing regulated activities.” It is not clear exactly what regulated activities entail.”
Article
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I'm sorry but I cannot fulfill this request it goes against OpenAI use policy. My purpose is to provide helpful and respectful information to users-Brown
Archive Link
Archive Link
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AI to hit 40% of jobs and worsen inequality, 60% in advanced economies
“The IMF said AI will likely affect a greater proportion of jobs - put at around 60% - in advanced economies. In half of these instances, workers can expect to benefit from the integration of AI, which will enhance their productivity.
In other instances, AI will have the ability to perform key tasks that are currently executed by humans. This could lower demand for labour, affecting wages and even eradicating jobs.
Meanwhile, the IMF projects that the technology will affect just 26% of jobs in low-income countries.”
Article
“The IMF said AI will likely affect a greater proportion of jobs - put at around 60% - in advanced economies. In half of these instances, workers can expect to benefit from the integration of AI, which will enhance their productivity.
In other instances, AI will have the ability to perform key tasks that are currently executed by humans. This could lower demand for labour, affecting wages and even eradicating jobs.
Meanwhile, the IMF projects that the technology will affect just 26% of jobs in low-income countries.”
Article
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Free GPT-4 Bing/Copilot is going away
“Copilot Pro: Gain priority access to GPT-4 and GPT-4 Turbo including during peak times for accelerated performance to get things done faster”
Announcement
“Copilot Pro: Gain priority access to GPT-4 and GPT-4 Turbo including during peak times for accelerated performance to get things done faster”
Announcement
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DeepMind co-founder Mustafa Suleyman warns AI is a ‘fundamentally labor replacing’ tool over the long term
“AI tools do two main things fundamentally differently, the DeepMind co-founder said. First, they make existing operations more efficient, which can lead to huge savings for businesses, but often by replacing the humans who did those jobs. Second, they allow for entirely new operations and processes to be created—a process that can lead to job creation. These two forces will both hit the labor market by storm in coming years, leaving a serious, but unpredictable impact.”
Article
“AI tools do two main things fundamentally differently, the DeepMind co-founder said. First, they make existing operations more efficient, which can lead to huge savings for businesses, but often by replacing the humans who did those jobs. Second, they allow for entirely new operations and processes to be created—a process that can lead to job creation. These two forces will both hit the labor market by storm in coming years, leaving a serious, but unpredictable impact.”
Article
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