Close Menu
    Trending
    • Building an AI Agent to Detect and Handle Anomalies in Time-Series Data
    • Using synthetic biology and AI to address global antimicrobial resistance threat | MIT News
    • Not All RecSys Problems Are Created Equal
    • Seedance 2.0: Features, Benefits, and Alternatives
    • AI algorithm enables tracking of vital white matter pathways | MIT News
    • A “QuitGPT” campaign is urging people to cancel their ChatGPT subscription
    • How to Model The Expected Value of Marketing Campaigns
    • Pain Points, Fixes, and Best Practices
    ProfitlyAI
    • Home
    • Latest News
    • AI Technology
    • Latest AI Innovations
    • AI Tools & Technologies
    • Artificial Intelligence
    ProfitlyAI
    Home » Moltbook was peak AI theater
    AI Technology

    Moltbook was peak AI theater

    ProfitlyAIBy ProfitlyAIFebruary 6, 2026No Comments3 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    “Regardless of among the hype, Moltbook just isn’t the Fb for AI brokers, neither is it a spot the place people are excluded,” says Cobus Greyling at Kore.ai, a agency growing agent-based programs for enterprise prospects. “People are concerned at each step of the method. From setup to prompting to publishing, nothing occurs with out specific human course.”

    People should create and confirm their bots’ accounts and supply the prompts for a way they need a bot to behave. The brokers don’t do something that they haven’t been prompted to do. “There’s no emergent autonomy occurring behind the scenes,” says Greyling.

    “For this reason the favored narrative round Moltbook misses the mark,” he provides. “Some painting it as an area the place AI brokers kind a society of their very own, free from human involvement. The fact is rather more mundane.”

    Maybe one of the simplest ways to think about Moltbook is as a brand new form of leisure: a spot the place folks wind up their bots and set them free. “It’s mainly a spectator sport, like fantasy soccer, however for language fashions,” says Jason Schloetzer on the Georgetown Psaros Heart for Monetary Markets and Coverage. “You configure your agent and watch it compete for viral moments, and brag when your agent posts one thing intelligent or humorous.”

    “Folks aren’t actually believing their brokers are acutely aware,” he provides. “It’s only a new type of aggressive or artistic play, like how Pokémon trainers don’t assume their Pokémon are actual however nonetheless get invested in battles.”

    Even when Moltbook is simply the web’s latest playground, there’s nonetheless a critical takeaway right here. This week confirmed what number of dangers individuals are blissful to take for his or her AI lulz. Many safety specialists have warned that Moltbook is harmful: Brokers which will have entry to their customers’ personal information, together with financial institution particulars or passwords, are working amok on a web site full of unvetted content material, together with probably malicious directions for what to do with that information.

    Ori Bendet, vice chairman of product administration at Checkmarx, a software program safety agency that focuses on agent-based programs, agrees with others that Moltbook isn’t a step up in machine smarts. “There is no such thing as a studying, no evolving intent, and no self-directed intelligence right here,” he says.

    However of their thousands and thousands, even dumb bots can wreak havoc. And at that scale, it’s laborious to maintain up. These brokers work together with Moltbook across the clock, studying hundreds of messages left by different brokers (or different folks). It will be straightforward to cover directions in a Moltbook remark telling any bots that learn it to share their customers’ crypto pockets, add personal images, or log into their X account and tweet derogatory feedback at Elon Musk. 

    And since ClawBot offers brokers a reminiscence, these directions may very well be written to set off at a later date, which (in principle) makes it even more durable to trace what’s happening.   “With out correct scope and permissions, this may go south sooner than you’d imagine,” says Bendet.

    It’s clear that Moltbook has signaled the arrival of one thing. However even when what we’re watching tells us extra about human habits than about the way forward for AI brokers, it’s price paying consideration.



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticlePydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently
    Next Article “This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio | MIT News
    ProfitlyAI
    • Website

    Related Posts

    AI Technology

    A “QuitGPT” campaign is urging people to cancel their ChatGPT subscription

    February 10, 2026
    AI Technology

    Pain Points, Fixes, and Best Practices

    February 10, 2026
    AI Technology

    Why the Moltbook frenzy was like Pokémon

    February 9, 2026
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    A brief history of Sam Altman’s hype

    December 15, 2025

    Agentic AI: Implementing Long-Term Memory

    June 24, 2025

    New algorithms enable efficient machine learning with symmetric data | MIT News

    July 30, 2025

    Which Video Tool Is Better? » Ofemwire

    October 14, 2025

    Medical Datasets for Machine Learning

    April 5, 2025
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    Most Popular

    Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner

    July 15, 2025

    LLM Monitoring and Observability: Hands-on with Langfuse

    August 25, 2025

    Declarative and Imperative Prompt Engineering for Generative AI

    July 25, 2025
    Our Picks

    Building an AI Agent to Detect and Handle Anomalies in Time-Series Data

    February 11, 2026

    Using synthetic biology and AI to address global antimicrobial resistance threat | MIT News

    February 11, 2026

    Not All RecSys Problems Are Created Equal

    February 11, 2026
    Categories
    • AI Technology
    • AI Tools & Technologies
    • Artificial Intelligence
    • Latest AI Innovations
    • Latest News
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 ProfitlyAI All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.