And it gets murkier. These AI contraptions can’t even keep their stories straight.
Tweak a question slightly, and it’s like talking to a whole new beast.
“That’s part of the problem; for the GPT3 work, we were very surprised by just how small the changes were that might still allow for a different output,” said Dr. Daniel Brown, a sharp mind in this fight and a co-author of the study, told Defense One.
Unpredictability, thy name is AI.
The War Room’s Dilemma
This isn’t just academic banter, though.
When discussing national defense, misinformation isn’t just inconvenient—it’s dangerous.
With its Task Force Lima, the Pentagon is sweating bullets over how to deploy these AI tools safely.
They’re walking a tightrope, trying to harness the power without falling into the abyss of bias and deception.
Pentagon launches ‘Task Force Lima’ to study generative AI for defense
Led by the Pentagon’s Chief Digital and AI Office, the task force “will assess, synchronize, and employ generative AI capabilities across the DoD, ensuring the Department remains at the forefront of… pic.twitter.com/w9tM7SB6ve
— dana (@dana916) August 13, 2023
Meanwhile, there’s a legal storm brewing.
The New York Times is up in arms against OpenAI, claiming they’ve been pilfering their articles.
It’s a mess, a tangled web of ethics and accountability that’s got everyone from suits to boots on the ground scratching their heads.
Charting a Safer Course
So, what’s the plan of attack?
Dr. Brown suggests we teach these AIs to show their work, citing sources like diligent students. And let’s not forget the human touch—double-checking the machine’s homework for any slips.
“Another concern might be that ‘personalized’ LLMs (Large language models) may well reinforce the biases in their training data […] if we’re both reading about the same conflict and our two LLMs tell the current news in a way [personalized] such that we’re both reading disinformation,” Brown noted.
Consistency is key; hammering it with similar questions to test its mettle is a good strategy.
OpenAI’s been scrambling to patch up their Frankenstein with new versions of ChatGPT, aiming to tighten the screws on accuracy and accountability.
But it’s a long road ahead, with more mines to defuse and pitfalls to avoid.
Balancing Act: Harnessing AI’s Might with a Moral Compass
In conclusion, we’re standing at the crossroads of a new era.
Generative Artificial Intelligence has the potential to be a powerful ally, but without a strict moral compass and a tight leash, it’s just as likely to turn into a Trojan Horse.
We need to navigate this minefield with eyes wide open, ensuring every step forward in AI is a step toward truth and ethical responsibility.
For us old dogs who’ve seen the face of real, flesh-and-blood adversaries, this new invisible enemy is a different kind of beast.
But one thing remains unchanged: the need for vigilance, wisdom, and an unwavering commitment to the truth.
In this AI-driven world, let’s not lose sight of what we’re fighting for.
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Disclaimer: SOFREP utilizes AI for image generation and article research. Occasionally, it’s like handing a chimpanzee the keys to your liquor cabinet. It’s not always perfect and if a mistake is made, we own up to it full stop. In a world where information comes at us in tidal waves, it is an important tool that helps us sift through the brass for live rounds.
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