Technology

Ya i agree. The whole infrastructure of how these work is flawed for a true AI/AGI.

It might be able to do a lot of cool things, but its fundamentally flawed at its core.

Someone will need to figure out something completely different for a true AI.

Right? I have a Google Home Mini in our kitchen and if we ask it a question it just pulls a source from a website and tells us. That's it. Nothing intelligent about it.

AI now is no different. It's just pulling more complex wording from more (albeit illegally) sources to give a (albeit sometimes incorrect) better description of the question asked.

AI is just as stupid as Alexa is/was 15 years ago. It just has more information to pull from and still fucks it up.

Reasoning is woke propaganda anyway.

Grok isn't designed to solve problems. It's designed to create sexually explicit images of children for Republicans...

We're anti-AI because AI is fucking stupid. Both literally and figuratively.

So they already have AGI? Why doesn't it solve new problems then? Bunch of bullshit, they're just adjusting their models to the "benchmarks" to get more VC funding

When Sammy fuck says “we’re so close to AGI, I can just feel it. Like a tingle on the tip of my shrimpdick it’s getting so close to blossoming into something guys”, just ignore him. He’s crazy man!

"Sam Altman claims AGI is coming in 2025 and machines will be able to 'think like humans' when it happens"

Well... It cannot even search databases without errors.

LLMs just produce plausible replies in natural languages very quickly and this is useful in certain situations. Sometimes it helps humans getting started with a task, but as it is now, it cannot replace them. As much as the capital class want it, and sink our money into it.

Funnier yet will be if they continue to just train the model on that particular kind of test, invalidating its results in the process.

As a technologist, I have to remind everyone that AI is not intelligence. It's a word prediction/statistical machine. It's guessing at a surprisingly good rate what words follow the words before it.

It's math. All the way down.

We as humans have simply taken these words and have said that it is "intelligence".

Here is a way of describing what I see as 'the problem':

An LLM cannot forget things in its base training data set.

Its permanent memory... is totally permanent.

And this memory has a bunch of wrong ideas, a bunch of nonsensical associations, a bunch of false facts, a bunch of meaningless gibberish.

It has no way of evaluating its own knowledge set for consistency, coherence, and stability.

It literally cannot learn and grow, because it cannot realize why it made mistakes, it cannot discard or ammend in a permanent way, concepts that are incoherent, faulty ways of reasoning (associating) things.

Seriously, ask an LLM a trick question, then tell it it was wrong, explain the correct answer, then ask it to determine why it was wrong.

Then give it another similar category of trick question, but that is specifically different, repeat.

The closer you try to get it toward reworking a fundamental axiom it holds to that is flawed, the closer it gets to responding in totally paradoxical, illogical gibberish, or just stuck in some kind of repetetive loop.

... Learning is as much building new ideas and experiences, as it is reevaluating your old ideas and experiences, and discarding concepts that are wrong or insufficient.

Biological brains have neuroplasticity.

So far, silicon ones do not.

I couldn't find replays. Are there more? Also, it is a bit funny that "building the bridge" which at one point seems to be Claude's "chosen goal" is just "running out of moves" and failing the task.

Task failed successfully, Claude. Task failed, successfully.

I assume it’s an hourly wage or something. Just because humans can work for free if they choose, doesn’t mean they have no cost associated with them. Just like a company could choose to give away unlimited tokens, those tokens still have a standard cost.