drtgh

I am curious to know how are performing the Tesla's sales of CO2 emission quotas to the manufacturers who have started producing electric vehicles (and therefore have started to cover their own emission quotas).

PS: I am not parent commenter, and this separately to the famous gesture with the arm that E.M. did, what can be guessed that harmed the sales.

> relatively poorly understood technology

Poorly understood? how convenient...

LLMs are vectorial databases with losses that index statistically filled data, which uses a text interface to query such statistically filled data. The output is a string concatenation (statistically concatenated bit by bit).

When the LLMs are queried (prompted), you can get random mixed data as output, ERRORS, due to undesired indexes getting closer at one point while the string was being concatenated for the output, what affects the rest of the indexed content that will be concatenated.

It is intrinsic to this tech. The larger the context, the greater the probability of get mixed data. And if the provider lowers the precision of those indexes -in order to decrease hardware resources and energy consumption- such probability increases to the point where those errors are granted.

Even knowing that the queries can return wrong/mixed data in the responses, errors, the companies developing this, decided to introduce a new product, that connects such LLMs outputs to the command console, latter connected to internet, raw 'eval' running commands from such outputs witch obviously can contain whatever mixed random. Then we started to hear "oh, it deleted my directory", etc, and it seems the next one will be "a missile killed my wife", because it is a text concatenation engine with errors.

To name it "hallucination" is an euphemism... those are errors, and they are granted to happen at one moment. If they do not know this, then they ate too much marketing without doing their job, or it was a convenient contract for the pocket$ of someone.

All the models output mixed data (errors). The larger is the context, the bigger the probability to happen. And this is an inherent property of LLMs (the output is a statistical concatenation of text, the LLMs are an vectorial database filled statistically).

If you connect an LLM to pilot a plane with passengers, prepare the obituaries, because would happen sooner or latter, an undesired index got mixed and produced a mixed/wrong output. But here, the bigger mistake would be to let an LLM execute commands without human revision, aimed by the deceptive marketing around the A"I" (LLMs).

* > An "Agent" should be translated from such deceiving language to "context splitter querying in loop that consumes more tokens from us", or similar.

Please disregard this line. I wanted to point out that it increases the length of the context (and therefore the probability of errors) due the batch processing. But I redacted it incorrectly because I also wanted to imply that promoting the use such queries non-stop increases the billing through tokens consumption.

LLMs are vectorial databases with losses that index statistically filled data, which uses a text interface to query such statistically filled data. The output is a string concatenation.

By the nature of the used architecture in such software, the used algorithms, when queried (prompted), you can get random mixed data as output, ERRORS, due to undesired indexes getting closer at one point while the string was being concatenated for the output, what affects the rest of the indexed content that will be concatenated.

And this is intrinsic to this tech. The larger the context, the greater the probability of get mixed data. And if the provider lowers the precision of those indexes -in order to decrease hardware and energy resources consumption- such probability increases to the point where those errors are granted.

Anyway, even knowing that the queries can return wrong/mixed data in the responses (errors), the companies developing this, decided to introduce a new product, that connects such LLMs responses to the command console, latter connected to internet, running commands from such returned responses witch obviously can contain whatever mixed random. Then we started to hear "oh, it deleted my directory", etc.

Again, One have such described statistical database with text interface, witch query the database recursively with the output text of the previous query, and this is connected to the command console. Larger contexts, several times... What should we expect as result? rhetoric question.

Implying sentience or consciousness is a convenient marketing strategy that has been introduced by anthropomorphising the names of all the methods and algorithms used. An "Agent" should be translated from such deceiving language to "context splitter querying in loop that consumes more tokens from us", or similar.

Given what is happening, If the next generation of Trojans get called "bacteria" through intense marketing, with some random functions to give a nondeterministic behaviour, one can not be criminalized of what the bacterias do along their digital living cycle.

They know that at least one of the images was altered due the comments on the site, nevertheless they keep the article and therefore the speculation.

Not nice, given that Anthropic and OpenAI want to block the Chinese models by deceiving people.

> My pet conspiracy theory: Both companies have seen outcome saturation.

Exactly. Such technology reached the limits, It can only be slightly improved by using larger models (larger models means bigger consumption of resources for the inference), so I think the global hoarding of chips is not being enough for them, I assume that they have to wait for provisions, and also the prices turned out of control due their greed. Given the ever-increasing hardware requirements and the energy consumption prices, they have no expectation of making a profit with such larger models pattern. They are making time.

Also, even more important, the -Chinese- open models are hurting these companies MUCH, with cheaper services, and with people using this open models in local also, specially for privacy safety.

So these greedy companies have decided to lie to people again, through several JamesCameron-like shows, saying that such a product has turned into Skynet (when in reality this tech is a string concatenation database with errors, aka LLM), in order to try to force regulations to road an oligopoly, their oligopoly, and dismantle the open models providers. They will claim to be the chosen companies who are meant to manage this tech.

With this, they also want to convince the investors they have future, IPO included, and that one day they will be able to be profitable (instead of the bottomless pit that they are).

It is also necessary to say that if they were had a real artificial intelligence they would not stop, this can be taken for granted, as this was what originally they thought they was reaching time ago (to f*** the world to line their own pockets).

IMHO.

Google seems to be swimming in hypocrisy, as they develop and use scrapers.

PS: I do not understand why people keep using Google search, the results turned biased and mediocre.