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21 points

This article is heavy on the hype and my eyes are bleeding trying to abstract out what’s actually happening here in reality

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7 points

They use LLMs for what they can actually do, which is bullet point core concepts to a huge volume of information, parse a large volume of information for specific queries that may have needed a tech doing a bunch of variations of a bunch of keywords, before, etc. Provided you have humans overseeing the summaries, have the queries surface the actual full relevant documents, and fallback to a human for failed searches, it can potentially add a useful layer of value.

They’re probably also using it for propaganda shit because that’s a lot of what intelligence is. And various fake documents and web presences as part of cover identities could (again, with human oversight), probably allow you to produce a lot more volume to build them out.

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11 points

Provided you have humans overseeing the summaries

right, at which point you’re just better doing it the right way from the beginning, not to mention such tiny detail as not shoving classified information into sam altman’s black box

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9 points
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I’m not really arguing the merit, just answering how I’m reading the article.

The systems are airgapped and never exfiltrate information so that shouldn’t really be a concern.

Humans are also a potential liability to a classified operation. If you can get the same results with 2 human analysts overseeing/supplementing the work of AI as you would with 2 human analysts overseeing/supplementing 5 junior people, it’s worth evaluating. You absolutely should never be blindly trusting an LLM for anything. They’re not intelligent. But they can be used as a tool by capable people to increase their effectiveness.

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TechTakes

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Big brain tech dude got yet another clueless take over at HackerNews etc? Here’s the place to vent. Orange site, VC foolishness, all welcome.

This is not debate club. Unless it’s amusing debate.

For actually-good tech, you want our NotAwfulTech community

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