SCI Elon Musk Announces New Ability His AI Will Soon Have - Lawmakers Will Hate This One

et2

TB Fanatic
Elon Musk Announces His AI Will Soon Parse Lawmakers' ‘Mammoth’ Bills, Expose Anything Hiding Inside

Elon Musk Announces New Ability His AI Will Soon Have - Lawmakers Will Hate This One​

AI may soon make the once-monumental task of fully reading through Congressional legislation a thing of the past.​

Connor Cavanaugh By Connor Cavanaugh March 2, 2024
Commentary
By Connor Cavanaugh March 2, 2024 at 3:53pm

The days of hiding secrets within legislation may soon be over.

Elon Musk, owner of social media platform X, shared Thursday that Grok, the company’s conversational generative artificial intelligence chatbot, will be soon capable of summarizing large bills passed by Congress for citizens to better understand.

“In the coming weeks, Grok will summarize these mammoth laws before they are passed by Congress, so you know what their real purpose is,” Musk wrote.

While not every bill sees a ridiculous page count, very often the most important ones see heavily inflated numbers, making it nearly impossible for the common citizen — or other members of the legislature — to fully comprehend.


It’s far from uncommon for lawmakers to include multiple different topics in a single bill, such as the recent border security bill.

That bill brandished massive funds for foreign countries, such as Ukraine and Israel, hiding behind the purpose of securing the U.S. border.

When Congress members are constantly putting forward legislation spanning hundreds of pages, the need to fully read the bill becomes even more important.

Should Congress be made to read and discuss all bills?
Numerous users on X celebrated the announcement, such as GOP Rep. Thomas Massie of Kentucky, who joked that people should be able to “already determine a bill’s purpose simply by reading its name and assuming it will do the opposite.”

Another user celebrated that key details, such as the “hidden 2.6 billion of funding for NGOs w/in the fake Border Bill” will now be brought to light with the “game-changing” assistance of AI.

One user brought up a previous comment by Nancy Pelosi when she infamously said “We have to pass the bill so you can find out what is in it” about health care bill that contained over 2,000-pages. With an AI summary like the one Musk says Grok can provide, that won’t be the case any longer.


Another onlooker noted they’d “prefer a 25-page limit on Congressional bills but this is the next best thing.”

The announcement from Musk could have groundbreaking changes in public understanding of Congressional law.

It may very well lead to a time when those looking to abuse their power by slipping in unwanted provisions will have to instead scurry to their lairs and conceive other ways to scam the American people.

So while others push for developing AI that will increase profit margins and better the lives of those who hold power, it seems Musk is keeping true to his word and working on ensuring it will be a tool that can help humanity as a whole — or at least the American people for now.
 

energy_wave

Has No Life - Lives on TB
The bot will probably commit suicide after reading all that garbage.
Hillary Clinton is all ready for it.

bigstock-reset-red-button-5147739.jpg
 

WalknTrot

Veteran Member
AI has already been proven to be relatively stupid, with zero common sense, and as biased if not MORE biased than the drone who programmed it.

Not buying it OR it's ability to accomplish anything practical.
 

glennb6

Inactive
I recall loosely suggesting an idea that included using neutrally programmed AI to review and make recommendations on EVERY SINGLE piece of legislation in congress. Program the thing for a neutral strictly constitutional bias with triple checks. Make the results completely public, and if possible, make it a requirement that all legislation be passed through said AI.
No more of this insultingly absurd 'must pass it to know what is in it' crap. This same process could be applied to high court deliberations too.
Would the machine have the final say? No.
Would it have significant in put and analysis? Yes.
How much worse could we get from where we are now anyways?!
 

glennb6

Inactive
I'm going to stick in this opinion based on these comments and others from other threads.

AI is a piece of software. It runs on a computer. It is powered by electricity. It has innate no conscience, no creative thought, no emotion, and certainly no free will or sense of 'self'. From the first Uniblab mainframe that spit out Hello World on it's screen after eating a few thousand punch cards, to our current computer and smart phones that can talk and respond to voice, often with their own voice, all nothing but silicon ships, electricity, and software that tell the computer what to do.

As we all have been treated to the WOKE version of AI crap, google's blackface AI bias, etc etc, the effort is to use AI computing for someone(s) preconceived agenda. All depends on who is writing the software. Get fooled into thinking the AI computer has gone rogue and self-aware with the intent of spreading it's wokeness like the flu, and the programmers (actually the people who pay the programmers) have already won.

This is not to say a decentralized AI software could not be run via the cloud, on thousands of distributed computers on the net, or even propagate itself as a virus - but that would still be the net result if its programming and NOT self-awareness. Actually, mimicking self-awareness could be done, especially when human-like looking robots may come to be. Probably not that difficult to get a computer to talk back to you with emotional voice inflections and actual verbiage - but it is not and never will be the real thing.

Oh think of the tricks that some deviously evil people could play! Person XYZ, a charismatic billionaire in real life, announces that he will transfer his mind and thoughts into his Uniblab v2.0 which is connected to the internet. Eventually Mr. XYZ is said to have died, but reappears within his lifelike talking computer and soon thereafter begin appearing on computers throughout the world. It's ALIVE. Well no, it's just a software acting like a virus or one in the same, pretending to be alive, but no it is not. Never will be.

Anyone could flip this argument on it's head with a team of legit moral programmers employed by a moral and upright company. It's niche being legislative and legal expertise. And again, no more alive or all controlling than Mr XYZ or Rosey the Robot of the Jetson's cartoon.
 

Babs

Veteran Member
I am refraining from turning this into a "religious" thread, (per rules) so I'll just make broad statements here.


Materialists have a very narrow view of conscience, creative thought, feeling, etc... There exists entities that are far different and far more complex than we humans, and the possibility of these entities inhabiting AI is very real.
 
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Ira

Si Vis Pacem Parabellum
I'm going to stick in this opinion based on these comments and others from other threads.

AI is a piece of software. It runs on a computer. It is powered by electricity. It has innate no conscience, no creative thought, no emotion, and certainly no free will or sense of 'self'. From the first Uniblab mainframe that spit out Hello World on it's screen after eating a few thousand punch cards, to our current computer and smart phones that can talk and respond to voice, often with their own voice, all nothing but silicon ships, electricity, and software that tell the computer what to do.

As we all have been treated to the WOKE version of AI crap, google's blackface AI bias, etc etc, the effort is to use AI computing for someone(s) preconceived agenda. All depends on who is writing the software. Get fooled into thinking the AI computer has gone rogue and self-aware with the intent of spreading it's wokeness like the flu, and the programmers (actually the people who pay the programmers) have already won.

This is not to say a decentralized AI software could not be run via the cloud, on thousands of distributed computers on the net, or even propagate itself as a virus - but that would still be the net result if its programming and NOT self-awareness. Actually, mimicking self-awareness could be done, especially when human-like looking robots may come to be. Probably not that difficult to get a computer to talk back to you with emotional voice inflections and actual verbiage - but it is not and never will be the real thing.

Oh think of the tricks that some deviously evil people could play! Person XYZ, a charismatic billionaire in real life, announces that he will transfer his mind and thoughts into his Uniblab v2.0 which is connected to the internet. Eventually Mr. XYZ is said to have died, but reappears within his lifelike talking computer and soon thereafter begin appearing on computers throughout the world. It's ALIVE. Well no, it's just a software acting like a virus or one in the same, pretending to be alive, but no it is not. Never will be.

Anyone could flip this argument on it's head with a team of legit moral programmers employed by a moral and upright company. It's niche being legislative and legal expertise. And again, no more alive or all controlling than Mr XYZ or Rosey the Robot of the Jetson's cartoon.
It would, and should, be called a VI, or Virtual Intelligence.
 

Kris Gandillon

The Other Curmudgeon
_______________
ML (Machine Learning) another aspect of AI to be aware of.

Machine learning is a fascinating field within artificial intelligence (AI) and computer science.

It focuses on using data and algorithms to imitate the way humans learn, gradually improving accuracy without explicit instructions.

Let’s delve into the details:

Definition:

Machine learning involves creating models that can learn from data and generalize to unseen examples.

These models can perform tasks without being explicitly programmed.

Instead of following rigid rules, machine learning algorithms adapt and improve based on experience.

History:

The term “machine learning” was coined by Arthur Samuel, an IBM researcher, during his work on checkers (a game) in the 1950s.

Samuel’s research led to the development of algorithms that could learn from data and make decisions.

Applications:

Recommendation Systems: Think of platforms like Netflix suggesting movies based on your viewing history.

Self-Driving Cars: Machine learning helps cars learn from sensor data and make driving decisions.

Natural Language Processing (NLP): Chatbots, language translation, and sentiment analysis all benefit from machine learning.

Healthcare: Predictive models for disease diagnosis and personalized treatment plans.

Finance: Fraud detection, credit scoring, and stock market predictions.

Types of Machine Learning:

Supervised Learning: Uses labeled data (input-output pairs) to train models. Examples include regression and classification tasks.

Unsupervised Learning: Works with unlabeled data to discover patterns or groupings. Clustering and dimensionality reduction fall into this category.

Semi-Supervised Learning: Combines labeled and unlabeled data for training.

Deep Learning vs. Machine Learning:

Deep Learning: A subset of machine learning that uses neural networks with multiple layers (deep neural networks). It can handle unstructured data (e.g., images, text) and automatically extract features.

Machine Learning: A broader field that includes deep learning. It can use labeled or unlabeled data and various algorithms.

In summary, machine learning enables systems to learn and improve autonomously, making it a powerful tool across various domains.
 
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