This is actually a genuinely good idea since they’re not using LLMs to do it. It’s a very narrow problem that can be modeled and trained just like chess. Air traffic controllers can focus on the “shit’s hitting the fan” events
Yeah “artificial intelligence” research was going on for at least half a century before LLMs, but the clueless will see this headline and think OMFG ChatGPT is GoNnA RuN tHe AiRpOrT!!1!
I mean, this is potentially a good area where AI could augment human judgement.
Leave the human in control and have the AI note to them if they made an error or forgot about a plane or something.
Do not try and make it “self driving” or something.
Give it few weeks, and they have collected meteics that the AI did the job just as good as the human within that timeframe. A few weeks down the line, the tables have turned, the humans are in charge of notifying the AI if it makes errors. A few weeks later, metrics will show that humans hasn’t really notified anything, and humans are removed from their position, leaving the AI fully in charge.
Within a year, a critical halucination or a job which AI lacks experience to handle will happen and a very preventable accident will occur. The owners will shrug it off as something that would definitely happen with humans in charge, and that the reduced costs outweigh the additional risk.
Yes, because people don’t tune out when they have a machine doing most of the work. This is ridiculously stupid and dangerous. Don’t do work for them in trying to reason around it.
Luckily the people in charge seem to have great judgement with this sort of thing
If you ever do stand-up, put me down for a ticket.
Depends on what level of “in charge” he means.
The career people who have run these things regardless of party in office have tended to be pretty good, historically.
Of course now many of these positions have been reclassified so that political stooges could be put in.
It’s unclear which level is actually implementing this and how much the Nero administration has their stupid, incompetent hands in it.
It’s called Machine Learning. AI is synonymous with LLM crap now.
AI, possibly. Algorithms, yes. Generative AI, fuck off all the way back to reddit where the training data came from.
High reliability organizations need deterministic tools that can be trained on so that operators can understand how they will work. They do not need an AI black box that might distract them with a hallucinated situation in the middle of a critical moment.
No one said this was generative AI, though. Which is good, because it’s not an LLM or genAI
AI/ML has long been used successfully to help predict future issues based on information from previous issues. It’s one of the things it excels at over humans, because it can process a much, much larger pool of data than a human can.
plus, AI is just a bunch of algorithms in a trench coat.
Then you have to say Machine Learning out front or everyone is going to assume you mean an LLM
Just wait til the next government shutdown. All AI baby. They don’t need canned goods or toothpaste.
Although actual self driving cars are already better drivers than humans, although the bar is so low that Satan would have to dig for it.
Note, Teslas are not self driving. They’re mislabeled lane assist.
Better drivers than the average human driver. Take male drivers out of the equation and it tips. Women drivers may be less secure at times (compared to male overconfidence) but they are far less likely to be reckless or cause lethal accidents.
Signed: a male :p
No, it still doesn’t tip.
A computer can’t get intoxicated, tired, or distracted. Humans can’t monitor dozens of sensors millions of times a second.
There are definitely still steps that need to be made to advance the technology, but it already has us beat. And it’s great. Traffic related deaths are a huge issue.
What’s not great is who owns the cars.
“AI” is such a terrible blanket term. Is this an LLM only? Will there be an actual machine learning model with hard checks doing the decision making? If the latter, I could see it largely working out. If the former … lol
Nope, it doesn’t even have an LLM component.
It just uses a ton of current and historical data to detect potential route and congestion issues.
Definitely, there needs to be so much more info provided before anyone here could make a reasonable judgment
AI ≠ LLM
There are a bunch of other types of AI/ML that aren’t hallucination engines.
Yes but none of them should be let anywhere near decision making. When we talk driving assistants that actually work, those are driven by a hard set of rules, with deterministic decision making.
When they are trained for a specific task, they do noticably better. Hallucinations aren’t guaranteed to never happen but it is a lot closer to pure accuracy with niche AI. LLMs that you see are made for pleasurable conversation. AI/ML other than LLMs can become really to the T. I’ve seen YouTube videos testing such.
It’s like Ubuntu vs firmware. One is made to be able to do a ton of things, and one is made for a very specific purpose.
Hooray for having a flight-heavy vacation in two weeks! It’s been real fellas.
Bon voyage, and, uh…bonne chance…
“Land all planes nose to nose, so every other plane lands backwards, otherwise it looks like a DEI.”
Well, at least comments in this thread can be excused because it doesn’t link to an article, just a stupid fucking reply.
WHAT IS ACTUALLY HAPPENING: AI will be used in the predictions about flight frequencies. IT WILL NOT BE IN THE TOWER.
(At least not yet. Which is what the articles are about. So at least realize that if you’re joking/speculating/bitching about ATC in the tower with AI, that’s not what this is)
I understand the HYPER ANTI-AI sentiments, but jesus christ people, try reading about what’s actually happening, yeah?
Thank you.
I know a good deal about machine learning. Machine learning’s principle metrics define how inaccurate it is.
The sheer volume of air plane traffic means you will have constant mistakes in those predictions. Leading to short staffing and actual consequences.
Staffing is not what they’ve said they’re using it for. Coordinating scheduling of flights to reduce waiting and conflicts is what I recall seeing.
They are extremely short staffed. Training takes 3 to 5 years. Very few eligible candidates and the Federal work force issues. This isn’t problem they can solve, because the problem is them, not the system.
I think we can all agree there are multiple aspects of a system as complex as aviation coordination in a large metro area that should be evaluated and improved upon when possible. I don’t understand how what you’re saying relates to what you’re replying to
I guess they will have to train less people possibly. But idk their full reasoning in replying with that.
Which has nothing to do with this.
AI being used by incompetent people trying micro mange their failure will not end well given the circumstance.
“It’s not a crash. It’s an opportunity.”
Yeah, DC has notoriously simple traffic with absolutely no heavily documented issues and shortcomings. Nothing of note in the last few years at all. It’s a great idea to test new shit there, this can only go well.
What
It’s not an LLM or GenAI if that’s what you were thinking.
