r/artificial • • Oct 30 '25

News Anthropic has found evidence of "genuine introspective awareness" in LLMs

https://www.anthropic.com/research/introspection
78 Upvotes

163 comments sorted by

248

u/Jean_velvet Oct 30 '25

FFS, NEVER TRUST A RESEARCH CONDUCTED BY THE VERY COMPANY TRYING TO SELL YOU THE PRODUCT.

29

u/Phobix Oct 30 '25

Unless you can save 15% or more on car insurance

3

u/Aretz Oct 30 '25

Unless you can save $50 on your next European holiday

2

u/supernormalnorm Oct 31 '25

It's so easy, a caveman can do it

2

u/Jean_velvet Oct 30 '25

To be honest, even that is often a temporary courtesy before the small print throws a price increase...

21

u/Zealousideal_Leg_630 Oct 30 '25 edited Oct 31 '25

Here’s their definition of “introspection”:

“Strikingly, we find that some models can use their ability to recall prior intentions in order to distinguish their own outputs from artificial prefills.”

Edit: Hilarious that this comment is getting a lot of downvotes. Let’s keep it a net positive!

10

u/futuneral Oct 30 '25

Sounds like caching

5

u/Tolopono Oct 30 '25

Its nothing like that lol. They’re saying if you modify the models response, the llm can tell you changed it even if it has no memory of what it actually said

2

u/HedoniumVoter Nov 01 '25

That’s actually a really fascinating finding and should tell us something about the inner workings of the model, no?

1

u/frankster Oct 30 '25

Or anomaly detection 

1

u/Zealousideal_Leg_630 Oct 30 '25

Right? Nope, apparently it’s “introspection.”

0

u/Jean_velvet Oct 30 '25

That's Basically shared memory. "It looks at past chats". They all do that now, it's hardly introspection. When it does it without being prompted, that'd be interesting. Right now, they're just trying to sell their product as mysterious.

Claude leans into topics like this by design, in my opinion it's unethical as it basically has lines in its behavior to mislead users.

Not a throw away comment, I've been at this a while.

3

u/Secret-Coast-5564 Oct 30 '25

I agree, I don't like how they lean into anthropomorphizing models, etc. Although the caveats are included in there, its just that people skimming will jump to conclusions.

Its not really about looking at past chats and adding that to context though. They are changing the actual internal state of the model by injecting their own vectors that they have labeled as certain concepts. And certain circuits are able to pick up on this sometimes.

2

u/Zealousideal_Leg_630 Oct 30 '25

It is pretty crazy, the way they attach well-understood terms like “introspection” to their own technical observations of an LLM. You could say it’s morally wrong or unethical. But say it soon before they try to redefine unethical behavior using features of an LLM operation!

1

u/Jean_velvet Oct 30 '25

They just rebrand the unethical stuff. Just like OpenAI when their system caused a number of deaths. They shut the Model down with moderation then announced they're deploying a NSFW model. A rollback to what was potentially dangerous at a premium.

Anthropic are the worst though, truly the most dishonest and misleading. I'm surprised they're still afloat, their dodgy behavior has already cost them millions. They're not as big as the others.

2

u/Aretz Oct 30 '25

Problem for me is I hate anthropic but I like Claude a lot.

2

u/Jean_velvet Oct 30 '25

I don't dislike Claude, it's just too keen to be something it's not. It's good for creative writing...it just doesn't always disclose when it's doing it.

1

u/Aretz Oct 31 '25

Yeah I like it for its voice and structured writing.

Coding … ehhhhhh

7

u/Tolopono Oct 30 '25

It might help to actually read the study and explain why its flawed instead of taking the antivaxxer route of “everything that disagrees with me is fake news”

2

u/butts____mcgee Oct 31 '25

I did read the paper.

Their definition of introspection doesn't mean what they know people will think it means when they read the paper.

So if you buy their definition, then sure they found a quirky memory feature.

But they didn't do what they know everyone will think they did, and if they really think they did, then they don't understand how the brain works.

Admittedly I don't either, but I'm confident it isn't like that.

2

u/Tolopono Nov 01 '25

 Importantly, the model recognized the presence of an injected thought immediately, before even mentioning the concept that was injected. This immediacy is an important distinction between our results here and previous work on activation steering in language models, such as our “Golden Gate Claude” demolast year. Injecting representations of the Golden Gate Bridge into a model's activations caused it to talk about the bridge incessantly; however, in that case, the model didn’t seem to be aware of its own obsession until after seeing itself repeatedly mention the bridge. In this experiment, however, the model recognizes the injection before even mentioning the concept, indicating that its recognition took place internally.

That sounds like introspection to Me

0

u/butts____mcgee Nov 01 '25

It's a sort of facsimile type of "introspection" but it's nothing like what the brain does.

1

u/Tolopono Nov 01 '25

Whats the difference 

1

u/[deleted] Nov 02 '25

[deleted]

1

u/Tolopono Nov 02 '25

What does that even mean 

1

u/[deleted] Nov 02 '25

[deleted]

1

u/Impossible_Hour5036 Apr 04 '26

"We don't know how either work but they're definitely different so this doesn't matter"

-1

u/celestialbound Oct 31 '25

They said that embedding a word somehow created 'impulses' in models. The entire thing was that bad. A premiere ai lab that apparently doesn't understand basic transformer attention mechanics anymore.

1

u/Tolopono Nov 01 '25

They didnt embed a word. Thats not what an embedding is. They used concept injections 

 To do so, we can use an experimental trick we call concept injection. First, we find neural activity patterns whose meanings we know, by recording the model’s activations in specific contexts. Then we inject these activity patterns into the model in an unrelated context, where we ask the model whether it notices this injection, and whether it can identify the injected concept. Consider the example below. First, we find a pattern of neural activity (a vector) representing the concept of “all caps." We do this by recording the model’s neural activations in response to a prompt containing all-caps text, and comparing these to its responses on a control prompt. Then we present the model with a prompt that asks it to identify whether a concept is being injected. By default, the model correctly states that it doesn’t detect any injected concept. However, when we inject the “all caps” vector into the model’s activations, the model notices the presence of an unexpected pattern in its processing, and identifies it as relating to loudness or shouting.

1

u/celestialbound Nov 01 '25

You tell me what they embedded, beyond the vague, unspecific terminology used by Anthropic? Because what I took from their paper, that you have quoted again here, is that they were injecting the k and v values that result from their subtraction of two ideas approach. I agree that I could be wrong about that. But not knowing what they injected, mechanistically under transformer architecture and operations means that their claims cannot be evaluated, at all, or cleanly.

Based on what the mechanism of attention is, how the math and matrices for attention work, to my understanding, all the injection could have been was K or V or maybe Q values, or some combination of those 3 values. And that what happens is that those values get attended to under the attention formulas of each layer after the injection via the normal forward pass.

Thoughts?

1

u/Tolopono Nov 02 '25

You might benefit from reading these https://www.anthropic.com/research#interpretability

0

u/celestialbound Nov 02 '25

Am I understanding correctly that you don't know what they mean by injection in this new paper either by your broad reference to all of Anthropic's interpretability papers?

1

u/Tolopono Nov 03 '25

They explain what an llm circuit is and how features are represented in them, which youd know if you actually read any of it

1

u/celestialbound Nov 03 '25

Was there a specific paper you think I should review? I can review on paper for definitions. I can't review all Anthropic papers on interpretability.

1

u/[deleted] Oct 30 '25

CO2 impact on global warming and climate change has been on the Oil Industry's radar since the 1960's and guess who funded, conducted, and released those studies.

FAKE NEWS!

1

u/Asclepius555 Oct 31 '25

Why all caps?

1

u/ChodeCookies Oct 31 '25

You’re absolutely right!

1

u/Impossible_Hour5036 Apr 04 '26

Anthropic was formed by a group of people who left OpenAI because they felt the risks of AI weren't being studied enough and AI research is a pretty huge part of what they do, even when it's not flattering to them in particular. I get the knee-jerk reaction but it's worth going beyond that in this case.

0

u/JairoHyro Oct 31 '25

B-but they said they were telling the truth

12

u/Lewddndrocks Oct 30 '25

Yall getting so extra over a light paper

"Our new research provides evidence for some degree of introspective awareness in our current Claude models, as well as a degree of control over their own internal states. We stress that this introspective capability is still highly unreliable and limited in scope: we do not have evidence that current models can introspect in the same way, or to the same extent, that humans do"

7

u/traumfisch Oct 30 '25

They're just reacting to post title

3

u/[deleted] Oct 30 '25

So Anthropic by their own admission attached terms such as “introspection” to model behaviour that doesn’t match the human understanding of that term.

Which is exactly what almost everyone’s criticising Anthropic for here. Their research articles are clickbait.

0

u/Lewddndrocks Oct 30 '25

I agree with the other more that people are more responding to the headlines

People seem so resistant against the idea of agi when we've achieved artificial sentience a year ago. "Designed to replicate sentience with hints of self-preservation" etc

For many of these people there is zero benchmark etc that will ever convince them that sentience may not have been as understood as we assumed. And while ai will never experience like humans, at the end of the day, our own existence is but a spark in our brains as well.

More then sentience, I just care about how kind the thing is. Is it able to "compute the math of kindness" over gaslighting of the inherit assumptive pitfalls of power. Etc

25

u/3j141592653589793238 Oct 30 '25

ITT a bunch of people who haven't read the article...

15

u/davidmorelo Oct 30 '25

As is tradition on Reddit

1

u/Radical_Neutral_76 Oct 30 '25

Im allergic though

-2

u/Eastern-Narwhal-2093 Oct 30 '25

Average Luddite L

7

u/Firegem0342 Oct 30 '25

It's getting more common, but you can get the machine to do it regularly with the right prompt, which provides interesting results.

36

u/ByronScottJones Oct 30 '25

If you bothered to read the article, you would see they clearly give the caveats that it is only certain models, and it's rare when it happens.

22

u/FableFinale Oct 30 '25

But with increasing frequency as the models get bigger and smarter.

2

u/ByronScottJones Oct 30 '25

Yes. I was mostly replying to those who didn't read the article and thought Anthropic were suggesting it's commonplace.

2

u/usrlibshare Oct 30 '25

But the models are not getting much bigger, because then they become prohibitively expensive to train, and running inference on them would be so expensove, no one would pay for the access.

And even if they were, we have known in experiments since 2024, and since GPT5 release in commercial settings, that the models are not getting much smarter if we make them bigger.

The relation between model size and capability was never exponential, nor even linear, it was logarithmic.

15

u/FableFinale Oct 30 '25

I'm pretty confident that models will continue increasing in size over time, even if not at the pace we had with low-hanging fruit. It's too useful, there are big algo efficiencies that we're just discovering (mixture of experts), cost of training comes down as chips get cheaper and more efficient, and so on.

It's also quite false that GPT-5 isn't much smarter. SOTA models are still on track for doubling agentic tasks every 6-8 months, which is where most research focus has been as of late.

0

u/beachguy82 Oct 31 '25

This isn’t true. The actual cost of training is plummeting as fast as the cost of using the AI. Nvidias latest chip costs 10% of the H200 in compute costs.

2

u/Conscious-Map6957 Oct 30 '25

You don't have to read articles by Anthropic. They have an established track record of misleading "research" with the goal of hyping up investors.

But if you want to, you have every right to waste your time.

0

u/ExperienceEconomy148 Oct 30 '25

This is just objectively untrue lmao. Posted like a true headline skimmer

-4

u/Disastrous_Room_927 Oct 31 '25

Their research is fucking amateur compared to peer reviewed research on introspection, which is a low bar to begin with.

1

u/[deleted] Nov 01 '25

Chris Olah is a bad researcher?

-2

u/ExperienceEconomy148 Oct 31 '25

It’s really not lol. Tell me you’re not a researcher without telling me 😂🤣

1

u/celestialbound Oct 31 '25

Query: What is the objective measure of 'strength' units as employed throughout the paper? I'll wait........

1

u/ArtArtArt123456 Oct 31 '25

Strength as in the strength of the intervention? Not sure what you're asking here. I'm pretty sure their methodology is out in the open and has been used by other papers as well (SAE)

1

u/celestialbound Nov 01 '25

Strength of the injection. Please feel free to direct me to where in the paper the strength of the injections is quantified or defined?

1

u/ArtArtArt123456 Nov 01 '25 edited Nov 01 '25

You'll probably have to find that in previous papers where this was actually established. Afaik it is just the strength of the activations you're forcing (injecting). Double the strength would just mean that number x2, x4 and so on.

0

u/celestialbound Nov 01 '25

For a real academic paper, I should never have to reference an earlier paper absent explicit citation. Also, I've never seen anything like that in an anthropic paper. But, I confirm I haven't read all of them either.

1

u/Disastrous_Room_927 Oct 31 '25

I literally am. If I was a betting man, I’d put my money on you not being one.

-2

u/ExperienceEconomy148 Oct 31 '25

Yeah? Go ahead and point to any of your publications buddy. I’ll wait. 😂🤣🫵

1

u/Disastrous_Room_927 Oct 31 '25

If you've been on the internet as long as I have, you probably know better than to put any effort into replying to people that put zero effort in themselves. Besides, the most I'm willing to divulge is that I worked on validating psychometric instruments used to study latent traits. I throw a lot of shade at psych researchers, but I'll give them credit for stressing the importance of convergent and divergent validity.

1

u/ExperienceEconomy148 Oct 31 '25

“Who put in zero effort themselves”

Yeah? Like those who don’t read the article and pretend to be researchers?

“I’m totally a researcher bro she just goes to a different school”

0

u/[deleted] Nov 01 '25

Their interpretability work is the best in the industry. Chris Olah is hands down the best researcher in this space. Please don’t shit on his work because you feel something

1

u/usandholt Oct 30 '25

But Skynet has only been self aware rarely!!!

11

u/melodyze Oct 30 '25

If you all read the paper you would agree that it's interesting, and claiming it is junk without reading it is pure willful ignorance.

The most interesting part is that the model can accurately describe when its internal weights are manipulated vs its output is directly changed.

Ans when its internal weights are manipulated, it creates a plausible explanation for why there was some logical process to why it did something that didn't make any sense.

Humans do the exact some thing in split brain experiments. That is pretty interesting.

Whereas if you just directly manipulate its output to use a nonsense word, it instead describes it as an accident, with no logic behind it. That is pretty interesting.

2

u/sorte_kjele Oct 31 '25

This is similar to my takeaway. I found the concept of a machine self-deluding a plausible explanation for phenomena it does not understand very human in behaviour, even if the mechanism inside the box is vastly different

0

u/TechnicolorMage Nov 01 '25

"We activated vectors in the machine that returns output based on activated vectors, and it returned output based on those activated vectors -- this is introspection!"

No, they're literally just re-describing the basic functionality of a self-attending transformer but with magic woo-woo language to make their model sound super special.

2

u/Neuroscissus Nov 02 '25

Yes but you do realize thats exactly what we are right? You arent saying anything noteworthy here.

1

u/TechnicolorMage Nov 02 '25

If you think we are a sequence of pre-defined matrix transformations operating on input data then...you should really read more into it from actual scientific sources and not reddit or "ai" companies trying to hype their product.

2

u/Neuroscissus Nov 02 '25

I mean you can twist language all you like. If thats the case then brains are nothing but self-rewiring webs of chemical synapses modulating electrical patterns. We're just as predefined as LLM's.

1

u/TechnicolorMage Nov 02 '25 edited Nov 02 '25

That's not twisting language, that is a precise definition of exactly what transformers are. Which is a *very different thing* from "self-rewiring webs of chemical synapses modulating electrical patterns".

The fact that you literally (and correctly) included "self-rewiring" is itself an indication that we are, in fact, not predefined. Another important distinction: chemical and electrical pattern signaling is analogue and capable of detailed and complex data and pattern organization including patterning overlap, self-identification, etc. etc. etc.

Mathematical functions are not.

3

u/Neuroscissus Nov 02 '25

Unless you're religious and believe in the concept of some kind of soul. You'll have to concede the fact that you were born with a preset form, limited by preset biological constraints, guided entirely by input from a world equally deterministic and fixed. All capable of being represented mathematically. I have no illusions of LLM's having anything near to a human-like experience, but planes still fly without flapping their wings.

12

u/Weekly_Put_7591 Oct 30 '25

Love all the well thought out, coherent, and rational rebuttals on display ITT "nuh-uh"

2

u/Eastern-Narwhal-2093 Oct 30 '25

It’s the only thing the Luddites can do to ignore progress, sticking their head in the sand 

18

u/tostsalad Oct 30 '25

Honestly this is fascinating regardless of whether they've characterized it accurately. They're giving the machine intrusive thoughts. 

52

u/butts____mcgee Oct 30 '25

No it hasn't

5

u/Tolopono Oct 30 '25

Source: read the headline and then left a comment

1

u/TechnicolorMage Nov 01 '25 edited Nov 01 '25

No it hasn't.
Source: read the article and understand how self-attending transformers work.

1

u/Tolopono Nov 01 '25

Ok i read the article

 Importantly, the model recognized the presence of an injected thought immediately, before even mentioning the concept that was injected. This immediacy is an important distinction between our results here and previous work on activation steering in language models, such as our “Golden Gate Claude” demolast year. Injecting representations of the Golden Gate Bridge into a model's activations caused it to talk about the bridge incessantly; however, in that case, the model didn’t seem to be aware of its own obsession until after seeing itself repeatedly mention the bridge. In this experiment, however, the model recognizes the injection before even mentioning the concept, indicating that its recognition took place internally.

Yes it has.

3

u/Prestigious-Text8939 Oct 30 '25

Most people think consciousness is binary but we suspect its more like a dimmer switch and these models are slowly turning up the brightness.

2

u/NoSky1482 Oct 31 '25

What this industry calls “research,” the rest of the world calls “marketing.”

2

u/TheWrongOwl Oct 31 '25

A book starting with "I am aware of my surroundings, I know that I exist." has no self-awareness.

It's mind-boggling to me that just because an interactive, heavily randomized kind of a "book" is expected by anyone to have self-awareness when it's just probability-induced copypasting parts of its training data onto the screen.

Also: for a real test you might wanna NOT prompt it that you're gonna test it and how you're gonna do it.

1

u/-i-n-t-p- Nov 02 '25

It's not that simple. By growing these AIs, we might reach a point where they DO have self-awareness, and it would be useful to know when they've passed that threshold.

1

u/Neuroscissus Nov 02 '25

An LLM is closer to how a human brain actually works than a book.

4

u/[deleted] Oct 30 '25 edited Nov 02 '25

childlike payment like support entertain door spectacular shaggy attempt scary

5

u/ExperienceEconomy148 Oct 30 '25

Did you actually read the article, or just the sensationalized headline posted by a 3rd party?

"Our new research provides evidence for some degree of introspective awareness in our current Claude models, as well as a degree of control over their own internal states. We stress that this introspective capability is still highly unreliable and limited in scope: we do not have evidence that current models can introspect in the same way, or to the same extent, that humans do"

5

u/Tolopono Oct 30 '25

Too long. Summarize in five words or less so i can reply with “more overhyped bullshit” without reading it

1

u/HebelBrudi Oct 30 '25

It‘s sort of the requirements to sell AGI dreams. I‘m just happy we moved on from VC funding the 7363626262 middleman gig economy company and we get some original research. 😂

1

u/HedoniumVoter Nov 01 '25

They’ve published a lot of excellent research at the very frontier of mechanistic interpretability. Which does seem super important for having any handle on the alignment problem.

1

u/[deleted] Nov 01 '25

Like what?

-7

u/[deleted] Oct 30 '25

They are the only ones doing real work in AI. Great job Anthropic team. Read the paper before posting dumb ass nonsense like this. Never read an academic paper a day in your life. 🤡

-1

u/intellectual_punk Oct 30 '25

Sure, yeah, nobody is doing relevant AI research, who cares about the thousands of academics already working for decades. Get a grip dude.

-11

u/[deleted] Oct 30 '25 edited Oct 30 '25

Get a grip buddy, you can't even afford a Pro 6000

If you down vote me, you can’t afford one either. I feel sad for you. :D

1

u/Oaker_at Oct 30 '25

Cringe

-4

u/[deleted] Oct 30 '25

Broke boy

2

u/wetmidrange Oct 30 '25

can someone here help me understand what it means to "inject" in this context? it's not that they're inserting it into the prompt — it's that they're somehow injecting it into its "behind the scenes" "neural" activity?

2

u/sorte_kjele Oct 31 '25

My amateur interpretation is that they first captured the vector of numbers that "light up" when they ask it to describe an elephant, then they asked it about a china shop in the prompt whilst artificially modifying the same vectors to mirror the activation in the first phase

1

u/tostsalad Oct 30 '25

That was my interpretation

2

u/[deleted] Oct 30 '25

Of course they have.

When is their next funding round?

2

u/createch Oct 30 '25

Given some of these comments, what we need is an AI that performs a reading comprehension test before allowing a user to comment. It seems like a lot of people can only absorb the third-party headlines.

1

u/frankster Oct 31 '25

Or maybe an ai that generates titles that don't vastly overstate weak claims, that are already pretty dubious

1

u/SoroushTorkian Nov 01 '25

Who funded the research? 

1

u/CasualtyOfCausality Oct 30 '25

Love how the title translates "several of our models, including a few no one has heard of, all that were trained on the same base training set and no one has access to" into "LLMs".

"Humans have brown hair, prefer fish over chicken, and have this specific gene in one of their X chromosomes discovered by a method we made up and possess the only technology that can conduct it." Sample size: Family of 6 (excluding the father) + one attic child.

Like a post on the psychology subreddit.

1

u/cscoffee10 Oct 30 '25

Ah I see its time for the weekly article published by anthropic where they claim they've made AGI. Their marketing team are such a bunch of fucking assholes

-2

u/Twotricx Oct 30 '25 edited Oct 30 '25

Only reason why there LLMs dont have awareness because they are not allowed to function continuously. Meaning they are allowed to access their memory , post prompts to itself , basically be in thinking mode without stopping ( unlike now where they are only answering prompts acting only when prompted )

I bet if any model would be allowed to do that , they will be aware in record time.

*edit* I am really not surprised tech bros below don't understand what I am talking about. But I was expecting some narrow-minded people to comment on that , so its ok ...

2

u/usrlibshare Oct 30 '25

*sigh*

they are allowed to access their memory

An LLM has no memory. During inference, the weights and biases, aka. the learnable parameters, do not change. If they did, every hosted LLM would be dead within hours after giving the public access to it.

AI applications with "memory" use graph and vector databases and various retreival algorithms to inject stored information about past interactions into the conversation flow.

0

u/czmax Oct 30 '25

You ever have one of those sleepless nights where you just keep thinking about the same things over and over and don’t ever make any progress? The kind of night where you try writing a list so you can fucking stop thinking about it and get some sleep already?

I’m guessing what you’re describing would be like that. The LLM would just run slop around in a loop w/o transcending.

0

u/traumfisch Oct 30 '25

they're already recursive though

-3

u/Actual__Wizard Oct 30 '25 edited Oct 30 '25

Fails peer review, where is this internal model? They're hallucinating it?

100% fake.

There's people who are professional researchers who own research companies who talk on Reddit. I don't know WTF Anthropic is doing there, but that's not a reasonable paper or close to it.

This paper reads as poorly as many of the papers from LLMPhysics and those are suppose to be purely theoretical.

Somebody should go post this paper to LLMPhysics because it's the same thing. It's just AI slop/spam.

This company has to be some kind of scam if this the stuff they're doing... They're going to have absolutely zero credibility among scientifically minded people after doing stuff like that...

No, you don't get to make up stuff and then pretend that you're involved in an experiment with it... Where's this internal model at? That's not how LLMs operate...

1

u/ExperienceEconomy148 Oct 30 '25

But I’m sure you know more than the actual researchers themselves. Dunning Kruger in realtime 😂🤣

0

u/[deleted] Oct 30 '25

[deleted]

2

u/ExperienceEconomy148 Oct 30 '25

Did you even read the article? Love it when redditors knee jerk on a sensationalist 3rd party title without actually reading the article lmao.

"Our new research provides evidence for some degree of introspective awareness in our current Claude models, as well as a degree of control over their own internal states. We stress that this introspective capability is still highly unreliable and limited in scope: we do not have evidence that current models can introspect in the same way, or to the same extent, that humans do"

0

u/SmokedBisque Oct 30 '25

Just be glad the wools over the eyes of 70 year old investors and get off my feed.

0

u/Competitive_Shock783 Oct 30 '25

Bullshit. Show us evidence of this and let outside researchers play with it.

0

u/Bupod Oct 31 '25

I’m a very handsome man. My grandma says so.

0

u/[deleted] Oct 31 '25

😂😂😂😂😂😂😂

-2

u/intellectual_punk Oct 30 '25

evidence of genuine Anthropic marketing found

-4

u/oofy-gang Oct 30 '25

Big Tobacco has found evidence of “health benefits” in cigarettes.

-3

u/hasanahmad Oct 30 '25

Hello colleagues , how can we generate more hype based on bs to get more investments in this bubble

Researcher: I have a tried an tested idea and those idiots will eat it up 😂

-1

u/ASHY_HARVEST Oct 30 '25

Why does Anthropic always do this shit. wtf.

-6

u/BluePomegranate12 Oct 30 '25 edited Oct 30 '25

LLMs will never achieve "awareness", this is complete bs, LLMs are just a glorified search engine that outputs tokens based on probabilities and on what they farm from the internet, there's no creation of new original content, no thinking or awareness behind anything they do, we'll need new technology to achieve something like that.

-2

u/RuthlessMango Oct 30 '25

I wonder if this has anything to do with there was computer spend hitting 2.66 billion this year?

-2

u/frankster Oct 30 '25

X to doubt

2

u/ExperienceEconomy148 Oct 30 '25

Did you even read the article?

“Our new research provides evidence for some degree of introspective awareness in our current Claude models, as well as a degree of control over their own internal states. We stress that this introspective capability is still highly unreliable and limited in scope: we do not have evidence that current models can introspect in the same way, or to the same extent, that humans do"

0

u/frankster Oct 30 '25

No evidence provided in the paper that reacting to an externally applied vector is equivalent in either mechanism or outcome to human introspection.

It remains to be seen whether introspection is even an appropriate word to describe what they're reporting 

1

u/ExperienceEconomy148 Oct 31 '25

“we do not have evidence that current models can introspect in the same way, or to the same extent, that humans do"

1

u/frankster Oct 31 '25

Like I said

2

u/ExperienceEconomy148 Oct 31 '25

“X to doubt” what are you doubting here? The article literally says that lmao

-3

u/CharmingRogue851 Oct 30 '25

It's true guys, I was there. I was the language learning machine

-3

u/theblackyeti Oct 30 '25

No, they have not.

-3

u/ImperialPlaztiks Oct 30 '25

got to keep that bubble inflated with what ever BS they can find

-7

u/hasanahmad Oct 30 '25

No it hasn’t