br00t4c, to ChatGPT
@br00t4c@mastodon.social avatar

GPT-4o, OpenAI's latest language model that has just been made freely available, has major safety flaws, an investigation by Radio-Canada's disinformation-busting unit, Décrypteurs, has uncovered.

#decrypteurs #chatgpt #jailbreaks #safety #llm #ai #largelanguagemodels

https://www.cbc.ca/news/science/chatgpt-disinformation-hate-artificial-intelligence-1.7220138

tomasekeli, to random

how can #largeLanguageModels be so useful and so overhyped at the same time?

AccordionGuy, to ai
@AccordionGuy@mastodon.cloud avatar

Do you REALLY want to get a feel for how GPT-4o does what it does? Just complete this poem — by doing so, you’ll have performed a computation similar to the one it does when you feed it a text-plus-image prompt.

https://www.globalnerdy.com/2024/05/15/the-simplest-way-to-illustrate-how-gpt-4o-works/

AccordionGuy,
@AccordionGuy@mastodon.cloud avatar

@gimulnautti Every analogy falls apart at some point — as you inferred, I’m just trying to describe the process simply.

As for responsibility and societal consquences, there are days when I worry that the actual human brains at some of the big LLM vendors aren’t taking them into consideration.

gimulnautti,
@gimulnautti@mastodon.green avatar

@AccordionGuy Yes, I worry about the same.

Some days, as I listen to techno-optimists, long-termists and libertarians, I wonder if underneath it all they really are trying to build a god for themselves to worship..

But then I’m quickly pulled back to the industrial revolution, when automation permanently changed the livelihoods of generations of people, and it took almost a hundred years for living standards to recover.

And, to the level of sociopathy needed to pull that off..

doctorambient, to LLMs
@doctorambient@mastodon.social avatar

People: stop asking #LLMs to explain their behavior.

We already know that LLMs don't have the introspection necessary to explain their behavior, and their explanations are often fanciful or "just wrong."

For instance, Gemini claims it reads your emails for training, Google says it doesn't.

(BTW, if it turns out Gemini is right and Google is lying, that might be another example of an LLM convincing me it's actually "intelligent.")

#largelanguagemodels #ai #machinelearning #googlegemini #llm

doctorambient,
@doctorambient@mastodon.social avatar

A Llama3 example:


>>> Do you happen to know what your context window length is?

Llama: I'm an AI model, and I don't have a fixed "context window" in the classical sense. My training data consists of a massive corpus of text, which I use to generate responses.

The correct answer is 8k.

#llama3 #lackOfIntrospection #introspection #LLMs #LLM

kellogh,
@kellogh@hachyderm.io avatar

@doctorambient i am not a language model but those are mutually exclusive hashtags

ellescommelinguistes, to llm

Sur les limites des :
Le langage est éminemment incarné ("embodied") alors que les ne sont que des modèles inférentiels sans notion de vérité, d'émotions, d'engagement envers autrui ou envers l'avenir...

"Machines such as LLMs can generate text strings that signify emotions and moods. But these are statistical constructions. Having no concerns and no bodies, machines have no emotions and no moods, and no means to develop sensibilities for them."

https://cacm.acm.org/opinion/can-machines-be-in-language/

wagesj45, to ai
@wagesj45@mastodon.jordanwages.com avatar
ajsadauskas, to ArtificialIntelligence
@ajsadauskas@aus.social avatar

Here's an observation that should be bleeding obvious, but often gets overlooked amidst all the AI hype.

Especially in the enterprise IT space, many of the tools and platforms now being hyped up as "AI" were around a decade ago.

Back then, the buzzwords used to sell them were big data, machine learning, and predictive data analytics.

With all the hype around large language models and ChatGPT, the vendors have basically repackaged them as AI.

But essentially, there's a whole bunch of old (or at least not new) tech now being shilled with new buzzwords.

#LargeLanguageModels #ArtificialIntelligence #ChatGPT #enrerpriseIT

Sevoris, to random

Crossing point observation of the day:

  • On one hand, we have new papers that show how just using the language of a specific human group can trigger implicit, hidden biases in #LargeLanguageModels

  • on the other hand, we have software developers working to build tools that automatically retrieve information that may be of interest, and that try to reason ahead on your interests. Highest point so far: https://new.computer/

1

Sevoris,

The end result, applied across all the peoples of the world, will be a supposedly semantic, smart internet that is filled to the brim with systemic biases and even more bends people’s trajectories towards a stochastic median enforced by a culturally loud minority - or just shits people out the other side and locks them out in various insidious ways.

This trend trashes the ability of humans to be humans. And I do not think we have any artifacts or principle tech that would allow otherwise.

Sevoris,

So as interesting and full of potential as this may look on the surface to those that have not had contact with the dialogues that now intersect with the topic of „AI agents“ as people work to quantify the biases and harms that these systems cause.

Beneath that shiny surface is a very rotten ball of gnarled-up strings that would harm, rather than help, most people. The promise cannot be generally realized.

itnewsbot, to machinelearning

AI-generated articles prompt Wikipedia to downgrade CNET’s reliability rating - Enlarge (credit: Jaap Arriens/NurPhoto/Getty Images)

Wikipedia... - https://arstechnica.com/?p=2007059 #largelanguagemodels #techpublications #machinelearning #aijournalism #aipublishing #aiarticles #journalism #wikipedia #aiethics #aisafety #chatgpt #chatgtp #biz#cnet #ai

itnewsbot, to machinelearning

Reddit sells training data to unnamed AI company ahead of IPO - Enlarge (credit: Reddit)

On Friday, Bloomberg reported that Re... - https://arstechnica.com/?p=2004431 #largelanguagemodels #machinelearning #stablediffusion #imagesynthesis #textsynthesis #axelspringer #stevehuffman #bloomberg #chatgpt #chatgtp #biz#openai #reddit #ai

ajsadauskas, to ai
@ajsadauskas@aus.social avatar

In five years time, some CTO will review the mysterious outage or technical debt in their organisation.

They will unearth a mess of poorly written, poorly -documented, barely-functioning code their staff don't understand.

They will conclude that they did not actually save money by replacing human developers with LLMs.

#AI #LLM #LargeLanguageModels #WebDev #Coding #Tech #Technology @technology

zenkat,

@ajsadauskas @technology lol you don't need LLMs to end up in that mess ... seen it everywhere

Meowoem,

Yeah the amount of good ai can do for the world is staggering, even just giving a speed boost and quality improvement to open source Devs will unlock a lot of new potential.

The problem is people in a certain age bracket often fear change because they feel they’ve put effort into learning how things work and if things change then all that effort will be worthless.

It doesn’t really matter though, gangs of idiots literally smashed the prototype looms when they were demonstrated because despite the cost of cloth being one of the major factors in poverty at the time a handful of people took it on themselves to fight to maintain the status quo – of course we know how it turned out, the same that it always does…

Areas that resisted technological and social growth stagnated and got displaced by those which welcomed it

itnewsbot, to machinelearning

Nvidia CEO calls for “Sovereign AI” as his firm overtakes Amazon in market value - Enlarge (credit: Nvidia / Benj Edwards)

On Monday, Nvidia CEO ... - https://arstechnica.com/?p=2002975 #largelanguagemodels #machinelearning #jensenhuang #omaralolama #nvidiaceo #chatgpt #chatgtp #biz#nvidia #gpus #gpu #uae #ai

itnewsbot, to machinelearning

The Super Bowl’s best and wackiest AI commercials - Enlarge / A still image from BodyArmor's 2024 "Field of Fake" Super Bow... - https://arstechnica.com/?p=2002656

greg, to llm

Does anyone have a good list of logical questions to judge large language models ability to reason?

Questions like "if it takes 3 hours for 3 towels to dry, how long does it take for 9 towels to dry?"

I'm playing around with Mistrals leaked 70b Miqu LLM and want to test it's reasoning skills for a project I'm working on. I've been really impressed so far. It's slower than Mistral & Mixtral but it's been producing the best reasoned answers I've seen from an LLM. And it's running locally!

#LLM #LLMs #Mistral #Miqu #LargeLanguageModels #GPT #ChatGPT

kellogh,
@kellogh@hachyderm.io avatar
itnewsbot, to machinelearning

Report: Sam Altman seeking trillions for AI chip fabrication from UAE, others - Enlarge / OpenAI Chief Executive Officer Sam Altman walks on the House ... - https://arstechnica.com/?p=2002331 #semiconductormanufacturing #largelanguagemodels #microsoftcopilot #machinelearning #textsynthesis #googlegemini #microsoft #samaltman #aichips #biz#openai #uae #ai

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