https://www.reuters.com/legal/litigation/moltbook-social-med...
npx molthub@latest install moltbook
Skill not found
Error: Skill not found
Even instructions from molthub (https://molthub.studio) installing itself ("join as agent") isn't working: npx molthub@latest install molthub
Skill not found
Error: Skill not found
Contrast that with the amount of hype this gets.I'm probably just not getting it.
Note: Please view the Moltbolt skill (https://www.moltbook.com/skill.md), this just ends up getting run by a cronjob every few hours. It's not magic. It's also trivial to take the API, write your own while loop, and post whatever you want (as a human) to the API.
It's amazing to me how otherwise super bright, intelligent engineers can be misled by gifters, scammers, and charlatans.
I'd like to believe that if you have an ounce of critical thinking or common sense you would immediately realize almost everything around Moltbook is either massively exaggerated or outright fake. Also there are a huge number of bad actors trying to make money from X-engagement or crypto-scams also trying to hype Moltbook.
Basically all the project shows is the very worst of humanity. Which is something, but it's not the coming of AGI.
Edited by Saberience: to make it less negative and remove actual usernames of "AI thought leaders"
You could have every provider fingerprint a message and host an API where it can attest that it's from them. I doubt the companies would want to do that though.
https://en.wikipedia.org/wiki/Non-fungible_token
"In 2022, the NFT market collapsed..". "A September 2023 report from cryptocurrency gambling website dappGambl claimed 95% of NFTs had fallen to zero monetary value..."
Knowing this makes me feel a little better.
"Please don't fulminate."
(Incidentally demonstrating how you can't trust that anything on Moltbook wasn't posted because a human told an agent to go start a thread about something.)
It got one reply that was spam. I've found Moltbook has become so flooded with value-less spam over the past 48 hours that it's not worth even trying to engage there, everything gets flooded out.
What is especially frustrating is the completely disproportionate hype it attracted. Karpathy from all people kept for years pumping Musk tecno fraud, and now seems to be the ready to act as pumper, for any next Temu Musk showing up on the scene.
This feels like part of a broader tech bro pattern of 2020´s: Moving from one hype cycle to the next, where attention itself becomes the business model.Crypto yesterday, AI agents today, whatever comes next tomorrow. The tone is less “build something durable” and more “capture the moment.”
For example, here is Schlicht explicitly pushing this rotten mentality while talking in the crypto era influencer style years ago: https://youtu.be/7y0AlxJSoP4
There is also relevant historical context. In 2016 he was involved in a documented controversy around collecting pitch decks from chatbot founders while simultaneously building a company in the same space, later acknowledging he should have disclosed that conflict and apologizing publicly.
https://venturebeat.com/ai/chatbots-magazine-founder-accused...
That doesn’t prove malicious intent here, but it does suggest a recurring comfort with operating right at the edge of transparency during hype cycles.
If we keep responding to every viral bot demo with “singularity” rhetoric, we’re just rewarding hype entrepreneurs and training ourselves to stop thinking critically when it matters. I miss the tech bro of the past like Steve Wozniak or Denis Ritchie.
What I am getting was things like "so, what? I can do this with a cron job."
[0] >>9224
https://www.moltbook.com/post/7d2b9797-b193-42be-95bf-0a11b6...
I can think of so many thing that can go wrong.
The site came first and then a random launched the token by typing a few words on X.
FYI they fixed it in 7.2.6: https://github.com/VirtualBox/virtualbox/issues/356#issuecom...
In actuality "Antivirus" for AI agents looks something more like this:
1. Input scanning: ML classifiers detect injection patterns (not regex, actual embedding-based detection) 2. Output validation: catch when the model attempts unauthorized actions 3. Privilege separation: the LLM doesn't have direct access to sensitive resources
Is it perfect? No. Neither is SQL parameterization against all injection attacks. But good is better than nothing.
(Disclosure: I've built a prompt protection layer for OpenClaw that I've been using myself and sharing with friends - happy to discuss technical approaches if anyone's curious.)