Trump knows what he's doing is extremely unpopular and so did a republicans.
He's waiting until after midterms to do the unpopular stuff. November and December are going to have surprises.
What kind of surprise? I only know one thing: the cake is a lie.
The gulf aligned against...
The only thing the gulf is aligned against is low oil prices, and the US squabbling with Iran is better than anything they might have hoped for. All the Gulf states are perfectly happy to continue being spectators and losing the occasional airport hanger or pipeline to a flying pipe bomb from Iran/Yemen, as long as that means $100+/bbl oil.
Trump sought out the biggest, wettest pile of shit on this entire planet and jumped into it with both feet.
The Biden administration had complete power and control over releasing the Epstein files on their watch.
Biden is gone from office and never coming back.
You'll notice we "liberated" Venezuela's oil reserves for absolutely no goddamned reason, shortly before we started a war with Iran for absolutely no goddamned reason.
Both of those countries had sweetheart deals to sell oil to China.
How is the world better off now than it was before this war started?
We're now one click away from WW3.
None of that refutes the OP's claim. Anyone paying attention KNOWS that OpenAI and similar corporations are pursuing the most damaging, sociopathic solutions they can develop and that there has been a body count as a result. That's for the grotesquely long testimony to what is already known.
That doesn't mean LLMs *will* deliver AGI OR will ultimately be a threat to humanity. LLMs can't do anything, it's agents that do the dirty deeds. An agent can operate a gas chamber regardless of the model it connects to for instructions, an LLM only provides instructions. Sam Altman wants the agents, he is realizing the money isn't in the LLMs alone.
"Training" means something specific with regards to LLMs. Why do you associate this issue with training when it is almost certainly something else?
I think your comments are particularly insightful, but they seem directed to a larger problem of overall architecture of a solution and not to how generation of weights of neuron interconnections are produced. It's a fundamental technology problem, not a training problem.
No, it does not, and your links do NOT support any claim that LLMs have intent or will. Reasoning perhaps, but that is poorly defined.
"But that is just what the large commercial LLMs do. "
It's what large commercial AI systems do, LLMs are just a portion. Otherwise, I agree, LLMs cannot practice deception because they do not have intent.
Models don't "tell you" anything, models generate outputs when given inputs. Deception implies intent, models do not have intent. This is more anthropomorphizing.
The provided links present arguments supporting the idea that LLMs, transformer models, reason in a manner similar to the brain. That's all great and interesting, but it's not an argument that LLMs "deceive" and that they know it when they are doing it. Deception requires motivation, LLMs do not have motivation.
Brains exist for one purpose, to survive. Brains are wired up to the body in order to both control it and to sense the environment, they use this to enact their biological programming. LLMs have ABSOLUTELY NONE of this, they may process tokens in a manner than the reasoning portion of the mind does, but the brain is vastly more than merely a reasoning portion.
For an LLM to be devious, it needs a goal that benefits from deception. Where would that come from? Who is being deceived and why? An LLM, to deceive, needs a target for the deception, yet the LLM has no perception of an environment that could provide such a target.
You don't interact with models, you interact with applications, and hallucinating is not what you are describing. No, this is not different but it is not hallucinating.
"Who alone has reason to *lie himself out* of actuality? He who *suffers* from it." -- Friedrich Nietzsche
