Paladin posted:

A situation that I plan to use AI text generation in before it becomes too obvious: writing extremely high praise positive reviews of every phone tech support, delivery person, and employee I encounter. It seems like everything you do these days, you get an automated "how did we do" email where you can say how great an employee was. I know from past experience that getting a good one of those letters can often result in a cash bonus or at least a favorable report at the end of the month, so I try to REALLY go all out when I write compliments, but sometimes I just don't have six paragraphs of praise for a four minute conversation in my brain.

SplitSoul posted:

Infinite AI generated Steamed Hams

https://www.twitch.tv/unlimitedsteam

Edit: Skinner was making "a cross between citrus macrophylla and the liberal revolution of 1820 ". Now he's baking raisin cookies. A female voice keeps butting in for some reason.

Guess that settles the art discussion.

Edit #2: Skinner and Chalmers randomly let out pained screams for no reason. This is amazing.

quote:

Write any extremely wrong and inaccurate plot summary of the movie Back to the Future.

In the movie Back to the Future, a young boy named Marty McFly discovers a time-traveling DeLorean, which takes him back in time to the year 1955. There, he accidentally prevents his parents from ever meeting and falling in love, which threatens to erase his very existence.

Desperate to set things right, Marty teams up with a teenage scientist named Doc Brown to hatch a plan to get his parents back together. Along the way, they run into a gang of ruthless 1950s street toughs, including the notorious "Biff Tannen," who is intent on stopping Marty from altering the course of history.

In the end, Marty succeeds in reuniting his parents and restoring the timeline, but not before engaging in a wild car chase with Biff and narrowly avoiding being erased from history altogether. With his mission accomplished, Marty returns to the present day, where he discovers that he has inadvertently become a world-famous rock star, thanks to the music he introduced to the past.

The first paragraph of that summary was still too accurate. Rewrite it to be as wrong and inaccurate as possible.

In the movie Back to the Future, a young boy named Marty McFly finds a time-traveling microwave oven that takes him back to the year 1900. There, he accidentally prevents the invention of the automobile, which threatens to erase his very existence.

Desperate to set things right, Marty teams up with a teenage cowboy named Doc Brown to hatch a plan to get his great-great-great grandparents back together. Along the way, they run into a gang of ruthless 1900s street toughs, including the notorious "Lefty Louie," who is intent on stopping Marty from altering the course of history.

In the end, Marty succeeds in reuniting his ancestors and restoring the timeline, but not before engaging in a wild horse chase with Lefty Louie and narrowly avoiding being erased from history altogether. With his mission accomplished, Marty returns to the present day, where he discovers that he has inadvertently become a world-famous baker, thanks to the bread he introduced to the past.

Cognition, Volume 235, 2023 posted:

Human infants are fascinated by other people. They bring to this fascination a constellation of rich and flexible expectations about the intentions motivating people's actions.

Here we test 11-month-old infants and state-of-the-art learning-driven neural-network models on the “Baby Intuitions Benchmark (BIB),” a suite of tasks challenging both infants and machines to make high-level predictions about the underlying causes of agents' actions.

Infants expected agents' actions to be directed towards objects, not locations, and infants demonstrated default expectations about agents' rationally efficient actions towards goals. The neural-network models failed to capture infants' knowledge.

Our work provides a comprehensive framework in which to characterize infants' commonsense psychology and takes the first step in testing whether human knowledge and human-like artificial intelligence can be built from the foundations cognitive and developmental theories postulate.

_{Keywords: Intuitive psychology; Commonsense psychology; Action understanding; Infancy; Machine common sense; Artificial intelligence}

www.news-medical.net posted:

"Adults and even infants can easily make reliable inferences about what drives other people's actions," explains Moira Dillon, an assistant professor in New York University's Department of Psychology and the senior author of the paper, which appears in the journal _Cognition_. "Current AI finds these inferences challenging to make."

"The novel idea of putting infants and AI head-to-head on the same tasks is allowing researchers to better describe infants' intuitive knowledge about other people and suggest ways of integrating that knowledge into AI," she adds.

"If AI aims to build flexible, commonsense thinkers like human adults become, then machines should draw upon the same core abilities infants possess in detecting goals and preferences," says Brenden Lake, an assistant professor in NYU's Center for Data Science and Department of Psychology and one of the paper's authors.
. . .
Specifically, infants on Zoom watched a series of videos of simple animated shapes moving around the screen-;similar to a video game. The shapes' actions simulated human behavior and decision-making through the retrieval of objects on the screen and other movements. Similarly, the researchers built and trained learning-driven neural-network models-;AI tools that help computers recognize patterns and simulate human intelligence-;and tested the models' responses to the exact same videos.

Their results showed that infants recognize human-like motivations even in the simplified actions of animated shapes. Infants predict that these actions are driven by hidden but consistent goals-;for example, the on-screen retrieval of the same object no matter what location it's in and the movement of that shape efficiently even when the surrounding environment changes. Infants demonstrate such predictions through their longer looking to such events that violate their predictions-;a common and decades-old measurement for gauging the nature of infants' knowledge. Adopting this "surprise paradigm" to study machine intelligence allows for direct comparisons between an algorithm's quantitative measure of surprise and a well-established human psychological measure of surprise-;infants' looking time. The models showed no such evidence of understanding the motivations underlying such actions, revealing that they are missing key foundational principles of commonsense psychology that infants possess.

"A human infant's foundational knowledge is limited, abstract, and reflects our evolutionary inheritance, yet it can accommodate any context or culture in which that infant might live and learn," observes Dillon.

_{The research was supported by grants from the National Science Foundation (DRL1845924) and the Defense Advanced Projects Research Agency (HR001119S0005).}

super sweet best pal posted:

It's almost as if there's more to sapient life than just a bunch of decision trees and flowcharts.

mawarannahr posted:

wow poo poo what a surprise

Commonsense psychology in human infants and machines

here's a lay summary:
Infants’ “commonsense psychology” better than that of AI

quote:

Future work exploring infants' knowledge about the world could extend our general approach to investigate other aspects of infant commonsense psychology. Because BIB's tasks are procedurally generated and presentationally consistent, for example, new tasks could easily be incorporated into BIB's dataset. Future studies might explore expectations of agents' notions of cost and value (Jara-Ettinger et al., 2016; Liu et al., 2017) or recognition of agents' actions that might signal potential social partnerships (Meltzoff, 2007; Powell & Spelke, 2013; Schachner & Carey, 2013; Tomasello, 2018). While we show that learning-driven neural-network approaches already fall short of infant's common sense on BIB's existing tasks, such expectations will nevertheless become increasingly important for AI too as it becomes further embedded in real-world, multi-agent settings that demand common sense. Extending our approach can ultimately inform comprehensive accounts of infants' knowledge not only about agents, but also about objects (Lin, Stavans, & Baillargeon, 2022; Spelke, 1990; Stahl & Feigenson, 2015) and places (Hermer & Spelke, 1994), allowing us to more fully describe the origins and development of human common sense and provide an avenue for building the future of human-like AI.

mawarannahr posted:

embodied cognition ftw

Tree Reformat posted:

the "embodiment problem" baffles me

bodies are stupid, weak, slowly rotting sausages. figure out how to ship of theseus us into a bunch of servers already, nerds

mawarannahr posted:

wow poo poo what a surprise

Commonsense psychology in human infants and machines

here's a lay summary:
Infants’ “commonsense psychology” better than that of AI

Shear Modulus posted:

lol at funded by darpa

Tree Reformat posted:

the "embodiment problem" baffles me

bodies are stupid, weak, slowly rotting sausages. figure out how to ship of theseus us into a bunch of servers already, nerds

Slavvy posted:

Literally impossible because your mind is not software and can't be independent of your body, sorry fat sweaty goon

The Oldest Man posted:

Don't worry soon enough we're going to have very convincing simulacra of dead people with a sufficiently large social media footprint, and at that point some of those people are going to start committing suicide to live in elmo's promised land and trying to convince the legal system that their Character AI should be able to vote and own real estate

KirbyKhan posted:

Cool, That's exact use case for the Memorial thread in QCS. It is why posters get permabanned when they die. Can you imagine the first post-mortem meltdown?

The Oldest Man posted:

It'll probably be Elon now that I'm thinking about it

The Oldest Man posted:

It'll probably be Elon now that I'm thinking about it

porfiria posted:

I don't know--I mean, the truth is that a ton of writing (and programming) in a business or school context is extremely formulaic, if not pro forma. How many ways can you send an email about a meeting? Or write an essay about the Magna Carta?

It's unclear if more creative writing/complex coding will be subsumed. But we'll see.

Morbus posted:

Well I have some good news, the current LLMs which are the result of

-Tweaking NN architecture a bit in 2017 which magically took everything from total absolute dogshit to stuff like GPT
-Throwing a shitload of data at these new transformer networks and training on really suboptimal hardware

Will never get any better, especially in the next few years!

smarxist posted:

smarxist posted:

lol look at this cute little guy :3