deegles

I run mine in a docker container and they get read only access to most things.

not to be antagonistic but are we paid to learn stuff or to build stuff? I think it's the latter. if we have to learn something it's only so that we can build something in the end.

I think their downfall will be the fact that they don't have a "path to AGI" and have been raising investor money on the promise that they do.

with enough packets you can trilaterate an approximate locatuon. adding random jitter will just delay it a bit.

I mean... did we really expect the content owners to roll over and let the streaming platforms capture the potential profits?

but are the GLP-1s reducing inflammation or is it a side effect of the reduced caloric intake? does it matter?

I'd like to see hard data on the outage rate of systems with and without their input

Would you characterize opiate addiction as an abundance of neurotransmitters? You're missing the forest for the trees.

computer systems that can open chrome, start a video chat with somebody, go back and forth for a while to achieve a task, then hang up...

all the pieces are there, though I suspect the first to implement this will be scammers and spear phishers.

no, letting misinformation persist is counterproductive because of the illusory truth effect. the more people hear it, the more they think (consciously or not) "there must be something to this if it keeps popping up"

I think they mean serious in scientific terms, not in policy making.

That's fair. Reliable access to a 70% expert is better than no access to a 99% expert.

it's hard to imagine a AI that can competently code that doesn't have an LLM as a component.

That's just it. LLMs are a component, they generate text or images from a higher-level description but are not themselves "intelligent". If you imagine the language center of your brain being replaced with a tiny LLM powered chip, you would not say it's sentient. it translates your thoughts into words which you then choose to speak or not. That's all modulated by consciousness.

You know, you're right. It -also- sucks at those tasks because on top of the issue you mention, unedited LLM text is identifiable if you get used to its patterns.

We're clearly seeing what AI will eventually be able to do

Are we though? Aside from a narrow set of tasks like translation, grammar, and tone-shifting, LLMs are a dead end. Code generation sucks. Agents suck. They still hallucinate. If you wouldn't trust its medical advice without review from an actual doctor, why would you trust its advice on anything else?

Also, the companies trying to "fix" issues with LLMs with more training data will just rediscover the "long-tail" problem... there is an infinite number of new things that need to be put into the dataset, and that's just going to reduce the quality of responses.

For example: the "there are three 'b's in blueberry" problem was caused by so much training data in response to "there are two r's in strawberry". it's a systemic issue. no amount of data will solve it because LLMs will -never- be sentient.

Finally, I'm convinced that any AI company promising they are on the path to General AI should be sued for fraud. LLMs are not it.

I tried using agents in Cursor and when it runs into issues it will just rip out the offending code :)

Are there legitimate organizations to donate to that are effectively evacuating people?

I might have submitted it before already :)

Human speech has a bit rate of around 39 bits per second, no matter how quickly you speak. assuming reading is similar, I guess more "dense" tokens would just take longer for humans to read.

https://www.science.org/content/article/human-speech-may-hav...

I guess they're asking where to actually buy them at these prices, not doubting that the price is dropping.

for explanation i've seen for the where's waldo analogy: imagine the single page of the where's waldo puzzle, and another giant piece of paper with the shape of waldo cut out of it.

by providing a picture of waldo in the cut-out, you can prove you know where he is without providing the location. a zero knowledge proof.

possible, yes. did they? that's the question

it's the consequence of promotion driven development

it seems like these experiments are designed to generate a strong statistical effect? "data confirms old people forced to carry a 120lb weight run slower than unencumbered college track athletes!"

Yes, because of course I have 20 extra hours per week to dedicate to focused research

I would bet that the reason for the drop in quality is the focus on delivering features in order to secure promotions and ongoing positive performance reviews.

I'm not convinced LLMs will evolve into general AI. The promises that it's just around the corner feels increasingly like a big scam.

I've also heard the term "regulatory arbitrage" to describe this.

By making someone responsible for decisions no matter the source. Perhaps someone who could be the "lead" or maybe "chief" person in charge of making decisions for the business...

I was using llama3 and deepseek-r1 literally to center an element in a div and they were not able to despite many prompts and variations. I guess I figured it out in the end but I'm not convinced I saved any time vs just carefully reading flexbox docs.