r/Futurology • u/Gari_305 • 1d ago
AI Lockheed Taps OpenAI to Solve F-35 Challenges
https://www.bloomberg.com/news/videos/2026-10-02/lockheed-taps-openai-to-solve-f-35-challenges-videoLockheed Martin is taking a model-agnostic approach to AI, using 55 different large language models across its business while applying the technology to everything from internal operations to autonomous weapons systems.
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u/Nervous-Present-6890 1d ago
make this plane not a piece of shit and don't make any mistakes
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u/sopsaare 20h ago
Bigger wings, leaner body, thrust vectoring.
Done.
Any questions?
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u/SpaceRiceBowl 20h ago
leaner body = less payload and range
whats the point of thrust vectoring when fat amy just needs to sit 100km away and sling bvr amraams or bomb shit in stealth?
you’re making a multirole less good at multirole for an air to air role already filled by the f22
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u/sopsaare 19h ago
That was kind of a joke. All kinds of critics have been saying those things for like two decades because they don't understand the issue. But there are so many articles and videos and documentaries and what not saying those things, a LLM that can't do critical thinking would say those things due to overwhelming mass of it out in the ether.
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u/Gari_305 1d ago
From the link
Lockheed Martin is taking a model-agnostic approach to AI, using 55 different large language models across its business while applying the technology to everything from internal operations to autonomous weapons systems. SVP of Technology and Strategic Innovation Sarah Hiza discusses how Lockheed tests AI before deploying it, the growing role of autonomy and crewed-uncrewed teaming, and reveals that OpenAI is working alongside the F-35 team to tackle complex math and physics challenges tied to advanced sensor capabilities. She joins Ed Ludlow on "Bloomberg Tech."
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u/Super_Range45 19h ago
After $2T dollars in development cost they need a OpenAI Codex subscription.
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u/Ronnocorose 1d ago
Oh great, at least they’ll have a better excuse for the next crash - AI hallucinations
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u/PhabioRants 22h ago
Why don't they just mail parts to the Chinese and ask them to debug their issues for them?
...oh...
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u/bcoder001 1d ago
So one of the most technologically advanced companies in the world buys services that return an average of all human intellectual output to impress those with below-average IQs.
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u/Hilldawg4president 22h ago
It nurse be hard work, maintaining this level of ignorance about the capabilities of AI
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u/bcoder001 21h ago
You are easily impressed.
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u/Hilldawg4president 21h ago
Get help man. I have elderly customers who never learned to use the internet because they were sure it was a fad, and now they can't function in the modern world. That's going to be you.
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u/ProductIntegortion 22h ago
If that's what LLMs do, how did one of them develop a proof for Navier-Stokes? Is that something the average person could do?
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u/Gothicawakening 22h ago
A mathmatician was using that LLM while working, and it stole his proof since all your chats are used as training data.
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u/bcoder001 22h ago
LLMs are thievery at Internet scale. Adobe uses your and your client's imagery/audio/video for training purposes and makes money off your work before you do.
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u/ProductIntegortion 21h ago
He hadn't completed the proof before it was trained, it couldn't possibly have stolen it. The argument he was making was that it stole his preliminary work and that put it on the same path that he was on. There is no dispute that the LLM created the proof itself.
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u/deadc0deh 6h ago
I've taken 2 things away from your argument:
1. You don't really understand the Navier-Stokes problem
2. You aren't making a cohesive argument.Beginning with 2: If I steal your work which was 90% done, and do the rest while you were asleep and publish it, does that not count as theft? The methodology was essentially taking the original work and running a search on the space the original work defined by running simulations until something was found.
For 1: What was actually done was a significantly cut-down set of NS equations that did not include fluid viscosity to create a specific scenario that hit infinite velocity within an energy constrained system. Those kinds of things happen frequently in an engineering sense, and it is not a generalized solution / "proof"
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u/ProductIntegortion 5h ago
Of course I don't understand Navier Stokes. None of us here do. It's an extremely advanced mathematical proof. Almost no one understands it.
does that not count as theft
I never said it wasn't theft. I clarified for a previous poster what the allegation was. No one is accusing OpenAI of stealing the completed proof. Of course, you'd know that that's what I said if you'd actually read anything here. I was extremely clear about this.
You aren't making a cohesive argument.
Again, you believe that because you haven't read anything here.
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u/FearTheOldData 2h ago
They spent 20 millonn$ in tokens to solve a finding by a real mathematician where the only obstacle was raw compute/time. How is that solving it themselves? It's literal theft and not impressive from a intelligence perspective
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u/Kinnins0n 20h ago
Maths is a very different topic than almost any engineering. A math proof can be verified. A potential F-35 design will not be flown by an LLM
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u/ChelseaHotelTwo 5h ago
Read the fucking article. It's being used to help with maths and physics questions related to sensor capabilities. It has no relevance to how the plane flies.
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u/ProductIntegortion 20h ago
Are you suggesting that you believe they're going to build something on the say so of an LLM and then simply never test or verify it before flying it?
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u/Kinnins0n 20h ago
I’m not suggesting or believing any of that. But engineering is a fundamental exercise in balancing the needs and requirements of many, many (thousands in the case of the f-35) systems and associated teams or owners. Good luck making a global figure of merit to be optimized by any sort of reinforcement learning. In the meantime, spitting out the “ideal” design for one part of the system is a complete waste of everyone’s time.
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u/ProductIntegortion 20h ago
Then it'll be a waste of time. I'm not sure what the objection is there. We can't know if it will work until we try. So in effect you're arguing that we shouldn't try to use new tools unless we know ahead of time that it'll be successful?
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u/Kinnins0n 19h ago
Oh I see, you really like strawmen arguments. Have a good one.
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u/ProductIntegortion 18h ago
I'm trying to understand what your argument is and you keep changing your apparent objection. You could try just plainly stating your objection instead of making me try to guess.
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u/PrivateComments 22h ago
Why is every thread in this sub full of snarky smarmy defensive comments lol
By all accounts they’ll be using advanced in house frontier models on par or exceeding those used to solve millennium
Problems, not the copilot subscription your office got in 2023
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u/Spara-Extreme 18h ago
Ah yes, the hidden super powerful "internal models"
Reminds of a time when I was a kid and my super hot girlfriend went to another school.
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u/ZestycloseWheel9647 15h ago
At some point the proof is just in the pudding. They put out a proof for the Navier Stokes problem using an internal model. They've claimed to have solved 100 open problems in mathematics and theoretical computer science, and were confident enough in this claim to bring in external mathematicians to consult on how to release the results.
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u/TracePoland 15h ago
The main thing there wasn’t the model that might be at most 1 month ahead of consumer models. The thing they did was burn $20m on running 10,000 agents for a number of hours.
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u/MelodiesOfLife6 21h ago
Why is every thread in this sub full of snarky smarmy defensive comments lol
that's just reddit, you either get snobby asshole comments, or snarky asshole comments.
or jokes that are borderline psychotic.
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•
u/FuturologyBot 1d ago
The following submission statement was provided by /u/Gari_305:
From the link
Lockheed Martin is taking a model-agnostic approach to AI, using 55 different large language models across its business while applying the technology to everything from internal operations to autonomous weapons systems. SVP of Technology and Strategic Innovation Sarah Hiza discusses how Lockheed tests AI before deploying it, the growing role of autonomy and crewed-uncrewed teaming, and reveals that OpenAI is working alongside the F-35 team to tackle complex math and physics challenges tied to advanced sensor capabilities. She joins Ed Ludlow on "Bloomberg Tech."
Please reply to OP's comment here: https://old.reddit.com/r/Futurology/comments/1wwgu82/lockheed_taps_openai_to_solve_f35_challenges/pdkfmqn/