Tag: agents
Cimba.AI emerges from stealth with $1.25M pre-seed to help enterprises build AI agents
Self-checkout tipping: Travel agents for guilt trips?
Mark Zuckerberg says Meta wants to ‘introduce AI agents to billions of people’
Meta sees “an opportunity to introduce AI agents to billions of people in ways that will be useful and meaningful,” CEO Mark Zuckerberg told investors today.
While he was vague about how exactly Meta will add generative AI to its apps, Zuckerberg gave the most detailed preview yet during the company’s earnings call for the first quarter of this year, when it reported $28.6 billion in revenue and a record 2 billion daily users of the Facebook app, beating Wall Street’s estimates. Meta’s profit for the quarter was $5.7 billion, a 24 percent decrease from the same time last year.
“We’re exploring chat experiences in WhatsApp and Messenger, visual creation tools for posts in Facebook and Instagram and ads, and over time video and multi-modal…
Magic publishers sent Pinkerton agents to a YouTuber’s house to retrieve leaked cards
March of the Machine: The Aftermath isn’t due out in stores until May
How prompt injection can hijack autonomous AI agents like Auto-GPT
The Lamplighters League’s agents have impeccable pulp style
The Lamplighters League is the next turn-based strategy game from the team behind Battletech and Shadowrun, but it’s also the name of the ragtag group of scoundrels you’ll be fighting with across this pulp adventure. Katharine got to see three of those characters in action during her preview – where she walked away very excited about the game’s emergent chaos – and now developer Harebrained Schemes have revealed all ten playable agents. Oh boy, do they look stylish.
The lead researcher behind those Sims-like ‘generative agents’ on the future of AI NPCs
What Happens When You Put 25 ChatGPT-Backed Agents Into an RPG Town?
“Generative agents wake up, cook breakfast, and head to work; artists paint, while authors write; they form opinions, notice each other, and initiate conversations; they remember and reflect on days past as they plan the next day,” write the researchers in their paper… To pull this off, the researchers relied heavily on a large language model for social interaction, specifically the ChatGPT API. In addition, they created an architecture that simulates minds with memories and experiences, then let the agents loose in the world to interact…. To study the group of AI agents, the researchers set up a virtual town called “Smallville,” which includes houses, a cafe, a park, and a grocery store…. Interestingly, when the characters in the sandbox world encounter each other, they often speak to each other using natural language provided by ChatGPT. In this way, they exchange information and form memories about their daily lives.
When the researchers combined these basic ingredients together and ran the simulation, interesting things began to happen. In the paper, the researchers list three emergent behaviors resulting from the simulation. None of these were pre-programmed but rather resulted from the interactions between the agents. These included “information diffusion” (agents telling each other information and having it spread socially among the town), “relationship memory” (memory of past interactions between agents and mentioning those earlier events later), and “coordination” (planning and attending a Valentine’s Day party together with other agents)…. “Starting with only a single user-specified notion that one agent wants to throw a Valentine’s Day party,” the researchers write, “the agents autonomously spread invitations to the party over the next two days, make new acquaintances, ask each other out on dates to the party, and coordinate to show up for the party together at the right time….”
To get a look at Smallville, the researchers have posted an interactive demo online through a special website, but it’s a “pre-computed replay of a simulation” described in the paper and not a real-time simulation. Still, it gives a good illustration of the richness of social interactions that can emerge from an apparently simple virtual world running in a computer sandbox.
Interstingly, the researchers hired human evaluators to gauge how well the AI agents produced believable responses — and discovered they were more believable than when supplied their own responses.
Thanks to long-time Slashdot reader Baron_Yam for sharing the article.
Read more of this story at Slashdot.