Wisconsin Governor Hacks the Veto Process

In my latest book, A Hacker’s Mind, I wrote about hacks as loophole exploiting. This is a great example: The Wisconsin governor used his line-item veto powers—supposedly unique in their specificity—to change a one-year funding increase into a 400-year funding increase.

He took this wording:

Section 402. 121.905 (3) (c) 9. of the statues is created to read: 121.903 (3) (c) 9. For the limit for the 2023-24 school year and the 2024-25 school year, add $325 to the result under par. (b).

And he deleted these words, numbers, and punctuation marks:

Section 402. 121.905 (3) (c) 9. of the statues is created to read: 121.903 (3) (c) 9. For the limit for the 2023-24 school year and the 202425 school year, add $325 to the result under par. (b).

Seems to be legal:

Rick Champagne, director and general counsel of the nonpartisan Legislative Reference Bureau, said Evers’ 400-year veto is lawful in terms of its form because the governor vetoed words and digits.

“Both are allowable under the constitution and court decisions on partial veto. The hyphen seems to be new, but the courts have allowed partial veto of punctuation,” Champagne said.

Definitely a hack. This is not what anyone thinks about when they imagine using a line-item veto.

And it’s not the first time. I don’t know the details, but this was certainly the same sort of character-by-character editing:

Mr Evers’ Republican predecessor once deploying it to extend a state programme’s deadline by one thousand years.

A couple of other things:

One, this isn’t really a 400-year change. Yes, that’s what the law says. But it can be repealed. And who knows that a dollar will be worth—or if they will even be used—that many decades from now.

And two, from now all Wisconsin lawmakers will have to be on the alert for this sort of thing. All contentious bills will be examined for the possibility of this sort of delete-only rewriting. This sentence could have been reworded, for example:

For the 2023-2025 school years, add $325 to the result under par. (b).

The problem is, of course, that legalese developed over the centuries to be extra wordy in order to limit disputes. If lawmakers need to state things in the minimal viable language, that will increase court battles later. And that’s not even enough. Bills can be thousands of words long. If any arbitrary characters can be glued together by deleting enough other characters, bills can say anything the governor wants.

The real solution is to return the line-item veto to what we all think it is: the ability to remove individual whole provisions from a law before signing it.

—————
Free Secure Email – Transcom Sigma
Boost Inflight Internet
Transcom Hosting
Transcom Premium Domains

What Is Generative AI? How Does It Work?

It’s all anyone can talk about. In classrooms, boardrooms, on the nightly news, and around the dinner table, artificial intelligence (AI) is dominating conversations. With the passion everyone is debating, celebrating, and villainizing AI, you’d think it was a completely new technology; however, AI has been around in various forms for decades. Only now is it accessible to everyday people like you and me. 

The most famous of these mainstream AI tools are ChatGPT, Voice.ai, DALL-E, and Bard, among others. The specific technology that links these tools is called generative artificial intelligence. Sometimes shortened to gen AI, you’re likely to have heard this term in the same sentence as deepfake, AI art, and ChatGPT. But how does the technology work? 

Here’s the simple explanation of how generative AI powers many of today’s famous (or infamous) AI tools. 

What Is Generative AI? 

Generative AI is the specific type of artificial intelligence that powers many of the AI tools available today in the pockets of the public. The “G” in ChatGPT stands for generative. Gen AI’s earliest uses were for online chat bots in the 1960s.1 Now, as AI and related technologies like deep learning and machine learning have evolved, generative AI can answer prompts and create text, art, videos, and even simulate convincing human voices.  

How Does Generative AI Work? 

Think of generative AI as a sponge that desperately wants to delight the users who ask it questions. 

First, a gen AI model begins with a massive information deposit. Gen AI can soak up huge amounts of data. For instance, ChatGPT is trained on 300 billion words and hundreds of megabytes’ worth of facts through the year 2021.2 The AI will remember every piece of information that is fed into it. Additionally, it will use those nuggets of knowledge to inform any answer it spits out.  

From there, a generative adversarial network (GAN) algorithm constantly competes with itself within the gen AI model. This means that the AI will try to outdo itself to produce an answer it believes is the most accurate. The more information and queries it answers, the “smarter” the AI becomes. 

Google’s content generation tool, Bard is a great way to illustrate generative AI in action. Bard is based on gen AI and large language models. It’s trained in all types of literature and when asked to write a short story, it does so by finding language patterns and composing by choosing words that most often follow the one preceding it. In a 60 Minutes segment, Bard composed an eloquent short story that nearly brought the presenter to tears, but its composition was an exercise in patterns, not a display of understanding human emotions.3 So, while the technology is certainly smart, it’s not exactly creative. 

How to Use Generative AI Responsibly 

The major debates surrounding generative AI usually deal with how to use gen AI-powered tools for good. For instance, ChatGPT can be an excellent outlining partner if you’re writing an essay or completing a task at work; however, it’s irresponsible and is considered cheating if a student or an employee submits ChatGPT-written content word for word as their own work. If you do decide to use ChatGPT, it’s best to be transparent that it helped you with your assignment. Cite it as a source and make sure to double check your work!  

One lawyer got in serious trouble when he trusted ChatGPT to write an entire brief and then didn’t take the time to edit its output. It turns out that much of the content was incorrect and cited sources that didn’t exist.4 This is a phenomenon known as an AI hallucination, meaning the program fabricated a response instead of admitting that it didn’t know the answer to the prompt.  

Deepfake and voice simulation technology supported by generative AI are other applications that people must use responsibly and with transparency. Deepfake and AI voices are gaining popularity in viral videos and on social media. Posters use the technology in funny skits poking fun at celebrities, politicians, and other public figures. Though, to avoid confusing the public and possibly spurring fake news reports, these comedians have a responsibility to add a disclaimer that the real person was not involved in the skit. Fake news reports can spread with the speed and ferocity of wildfire.   

The widespread use of generative AI doesn’t necessarily mean the internet is a less authentic or a riskier place. It just means that people must use sound judgement and hone their radar for identifying malicious AI-generated content. Generative AI is an incredible technology. When used responsibly, it can add great color, humor, or a different perspective to written, visual, and audio content. 

1TechTarget, “What is generative AI? Everything you need to know 

2BBC Science Focus, “ChatGPT: Everything you need to know about OpenAI’s GPT-4 tool”  

360 Minutes, “Artificial Intelligence Revolution 

4The New York Times, “Here’s What Happens When Your Lawyer Uses ChatGPT 

The post What Is Generative AI? How Does It Work? appeared first on McAfee Blog.

—————
Free Secure Email – Transcom Sigma
Boost Inflight Internet
Transcom Hosting
Transcom Premium Domains