This guy's next blog post is hyping up the rabbit r1. How can one take this seriously?
Yeeeah nah
Like almost everything else; the vast majority of fun for me is in setting up and configuring $THING, with thing here being OpenClaw and a fresh new server. After that I realize I have nothing to do with it and destroy the instance only to create a new one to try out some other self-hosted $THING
I‘ve done some phone programming over the Xmas holidays with clawdbot. This does work, BUT you absolutely need demand clearly measurable outcomes of the agent, like a closed feedback loop or comparison with a reference implementation, or perfect score in a simulated environment. Without this, the implementation will be incomplete and likely utter crap.
Even then, the architecture will be horrible unless you chat _a lot_ about it upfront. At some point, it’s easier to just look in the terminal.
Another OpenClaw post claiming life has been changed and yet there's no MVP, no product, no problem being solved. I look forward to a future update.
The same author had good things to say about the R1, a device you generally won't see many glowing reviews about. (https://reorx.com/blog/rabbit-r1-the-upgraded-replacement-fo...)
Maybe it's unfair to judge an author's current opinion by their past opinion - but since the piece is ultimately an opinion based on their own experience I'm going to take it along a giant pile of salt that the author's standards for the output of AI tools are vastly different than mine.
From his previous blog post:
> Generally, I believe [Rabbit] R1 has the potential to change the world. This is a thought that seldom comes to my mind, as I have seen numerous new technologies and inventions. However, R1 is different; it’s not just another device to please a certain niche. It’s meticulously designed to serve one significant goal for all people: to improve lifestyle in the digital world.
PsyOp or AIslop
What has this “team” actually achieved? I keep reading these manager cosplay blogs/tweets/etc but they aren’t ever about how a real team was replaced or how anything of significant complexity was actually built.
Where's the code and what did you build? Everything else is just platitudes
More unhinged takes, please.
I hope at some point there will be a medical research into this hysteria.
Amazing
yeah, i can't take this post seriously if this was their other post. https://reorx.com/blog/rabbit-r1-the-upgraded-replacement-fo...
This seems like AI slop?
There's not a single real example, and it even has all the em-dashes intact.
Yeah i do not know, still waiting to see actual openclaw practical application usage in real world
Who wants to bet one of his 'agents' wrote and posted this article?
Agents work but still mostly produce slop.
> Thank you, AGI—for me, it’s already here.
Poe's law strikes... I can't tell if this is satire.
This is for people that talk to ChatGPT at length in voice mode. You are not the audience.
If my aim was to be a manager, I would have graduated a business university. But I want to have my hands and head dirty of programming, administering, and doing other technical stuff. I'm not going to manage, be it people or bots. So no, sorry.
And 99% those AI-created "amazing projects" are going to be dead or meaningless in due time, rather sooner than later. Wasted energy and water, not to mention the author's lifetime.
Thank you; this explains why working with AI doesn't interest me.
if 90% is good enough, you are a winner to try your idea and fail fast. if you want to reach 91 or more, AI is a slop and hype to burn our pensions and contribute to vastly to global warming and cognitive decline consumerism evolution
If you use Cursor or Claude, you have to oversee it and steer it so it gets very close to what you want to achieve.
If you delegate these tasks to OpenClaw, I am not really sure the result is exactly what you want to achieve and it works like you want it to.
I think everyone cheering for AI will become its archenemy later. I’m very happy that companies like Salesforce and Duolingo, which fired so many people, are now tanking badly.
This euphoria quickly turns into disappointment once you finish scaffolding and actually start the development/refinement phase and claude/codex starts shitting all over the code and you have to babysit it 100% of the time.
This reads like a peacocking LinkedIn post where someone desperately shows they are not just with it, they are ahead of it. The space is absolutely filled with this sort of noise, primarily people who dismissed AI as something only the nubs like, so now their cope is to do the "now it's useful and I have catapulted ahead of all the others bit".
This sort of post is useless without examples. What projects have you built? How did you go about it? What challenges did you face? What did you learn? Just saying “this is amazing now I am a super manager turning out projects left and right” is not convincing.
I get the impression LLM agents are a bit like tamagochi but for tech bros.
Press [X] to doubt
Press [Space] to skip
Ads Pff..
another slop post - show costs, show what you have built, or at least a tiny snippet of code? (or even just direct links to git repo or projects IN post please?)
getting sick of this fluff stuff
okay dumbo
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this feels like the only thing you've probably done with open claw
been writing code for 15 years now , agree with the author about this one , open-claw like agents are going to be the future. Already automated away a bunch of routine stuff like checkin FB marketplace if l’m looking to but something , daily stock position brief , calendar management , grocery planning and buying , workout and calorie tracking . Stopped using a bunch of app directly overnight . The “mid-wits” are the one with their head still stuck under that sand
Since many posts mention lack of substance, providing a link to the All-In Podcast from last week in which they discuss Clawdbot (prior to re-brand). https://www.youtube.com/watch?v=gXY1kx7zlkk&t=2754s
For the impatient, here's a transcript summary (from Gemini):
The speaker describes creating a "virtual employee" (dubbed a "replicant") running on a local server with unrestricted, authenticated access to a real productivity stack—including Gmail, Notion, Slack, and WhatsApp. Tasked with podcast production, the agent autonomously researched guests, "vibe coded" its own custom CRM to manage data, sent email invitations, and maintained a work log on a shared calendar. The experiment highlights the agent's ability to build its own internal tools to solve problems and interact with humans via email and LinkedIn without being detected as AI.
He ultimately concludes that for some roles, OpenClaw can do 90%+ of the work autonomously. Jason controversially mentions buying Macs to run Kimi 2.5 locally so they can save on costs. Others argue that hosting an open model on inference optimized hardware in the cloud is a better option, but doing so requires sharing potentially sensitive data.
I have trouble taking these AI posts seriously that don’t have code / actual examples.