@RupertLowe10 The PHP exploits were discovered by AI security researchers at @wiz_io, they worked with the developers to get them patched. If the UK is serious about this, backing that kind of security research has to be part of the plan.
@Ayylmao35424240@BalaiBB Years, possibly decades. This is a long standing vulnerability that AI security researchers have just figured out how to successfully exploit and therefore patch.
@tomfgoodwin It’s not forgetting though, it never “remembered” in the first place. It’s predicting the next token from a huge context and doesn’t weigh it all equally. Keep the context small and put the important bits at the end where it actually pays attention.
Ben Affleck says AI is simply matrix multiplication, linear algebra and floating point calculations, and however convincingly it sounds like a person, it has nothing to do with thought, humanity or feeling
“Nor do I believe, and I think it’s important to draw the distinction between what AI does, which is simply predict the next token or the next word in a sentence, then add that word on, run it back to the machine, do a lot of computation and pick the next word."
"That is a very different thing than sentience or thought. And I think we need to be really clear about that because it can be convincingly, in an illusory way, sound like thought or like a person."
"But let’s be real clear. This is matrix multiplication. This is linear algebra. These are floating point calculations. It has nothing to do with thought, humanity, or feeling.”
@AlexanderKalian Exactly 💯 time moves at a different rate throughout the universe relative to your speed and proximity to gravitational forces. Time is another dimension, albeit one we cannot fully control.
"We didn't hack that company, the program we made did" is the lamest fucking attempt at a defense I've heard in my life. It's on par with "I didn't shoot that person, the gun did"
@KrishnaBuildsAI That would require an endless stream of vulnerabilities in software and hardware. It's more likely we'll see fixes for existing vulnerabilities and a reduction in future ones.
@FKR_Icarus LLMs are literally just code which boils down to predictable binary 1s and 0s. Using mathematical calculations over weights shaped by training data to predict the next token. Smoke and mirrors!
Oxford researchers just published a paper arguing LLMs cannot invent anything. Mathematically impossible.
The reason is simple and brutal. A model trained to predict the next word can never believe something the existing data says is wrong. And every real breakthrough in history started with exactly that belief.
In 1903 every prediction machine on Earth would have told the Wright Brothers that human flight was one to ten million years away. Nine weeks later they flew. Not because they had better data. Because they had a theory the data hadn't caught up to yet.
That is the gap between AI and human thinking. LLMs mirror the past. Humans reason into a future that doesn't exist yet. Oxford just proved mathematically that those are two different things.
I use these models every day. This matches what I see. The new stuff always comes from the human at the keyboard who decides the data is wrong.
LLMs don't think. You do.
@darkgaro A calculator that's very good at guessing the next word. It reads everything written so far, picks a likely next token, sticks it on the end and goes again.
@darkgaro A calculator that's very good at guessing the next word. It reads everything written so far, picks a likely next token, sticks it on the end and goes again.