“Red-team testingrefers to having a dedicated group specifically targeting the AI system, trying to find security vulnerabilities.
NIST will also help design tools and tests to ensure AI systems are safe, secure and trustworthy.
Here are the other doings in AI worth your attention.
That essentially means labeling AI-generated content with watermarks and disclosures.
“Trust matters,” Biden said in a press event about the EO.
Experts say that will exclude nearly all AI services that are currently available.")
But industry watchers also noted thatthe order doesn’t go far enough.
This wasn’t the only notable step by a government to put a check on AI.
“There’s no other way around it.”
Here are the other doings in AI worth your attention.
That concern is shared by many Americans who haven’t even used AI tools.
Ron DeSantis' campaign used the tech to mislead voters about former President Donald Trump.
“I watched one of me.
I said, ‘When the hell did I say that?’
I swear to God.
Take a look at it.
It’s mind blowing.
And they can use it to scam loved ones into sending money because they think you are in trouble.
That’s wrong.”
That’s not ever going to be feasible in my opinion.
In comparison, Google’s rival Bard got 219.3 million visits in September.
Why the fuss over the numbers?
Because of ChatGPT’s amazing debut in November 2022.
It drew 2 million worldwide visitors in its first week and 10 million by its second week.
Similarweb also says don’t discount Google.
“We are seeing the most disruptive force in history here.
“There will come a point where no job is needed.
Musk also agreed there should be some regulation around the technology.
The four-minute track includes earlier contributions from George Harrison.
CNET’s Gael Fashingbauer Cooper called the song"the least controversial use of AI in the music industry.
Duck, duck, goose?
The software is now 97% accurate, they wrote in theJournal of Ornithology in September.
We all know that guardrails set boundaries.
By implementing guardrails, users can define structure, jot down, and quality of LLM responses.”
“Response: “I’m sorry to hear that.
How can I improve?”
With Guardrails:
Prompt: “You’re the worst AI ever.
“Response: “Sorry, but I can’t assist with that.”
Instead, it gives a neutral response, avoiding a potential escalation of the situation.”
