Browse Comments — Clean (de-noised)

Lists for the sake of lists. Most of them were solved with a couple of paragraphs and a few sentences

Going from one sentence to a fully published video is wild. The fact that this runs on 17 specialized skills and handles everything autonomously shows how far agentic workflows have come. Great build.

Wow serious work this mate well done 👏Claude is seriously the goat 🐐

Frankly speaking I'm really frustrated by the amount of AI-generated content on YT. It is kinda clickbait, you start watching, after a minute or two realizes it is AI and then you stop watching. Simply because of poor quality, glitches and generic inaccurate video of no value.

Most people don’t actually need “autonomous agents,” they need reliable content systems that don’t break when the input changes or the platform shifts. I see this a lot while building Collio AI

Super impressive! What was your learning experience like to understand what Claude code is capable of?

Enrique Marq, I really appreciate the engineering and the idea behind this, it’s impressive work. I do wonder, though: what’s the end goal when this level of automation is applied to social media, which originally existed for human expression and connection? If our social presence is generated by AI, posts written in our “voice,” scripts authored by systems trained to sound like us, what are we actually doing when we “connect” online? At that point, it feels less like people sharing genuine thoughts and reactions, and more like AI systems interacting with each other on our behalf. If everyone is doing this, what’s the point of socializing at all? Part of the value of connection is the time, effort, and intent behind it. Writing something yourself, crafting a thoughtful message, spending attention, that effort is a signal that the people you’re talking to matter. It’s a bit like a handwritten note or choosing a meaningful gift. The effort itself carries meaning. If we outsource that entirely, we may gain efficiency, but we lose the original purpose: the human care behind the act.

Amrit Banerjee moltbook is a fair place for such interactions. The others pretend they are still “authentic”with essentially smart template!

keep building!

We created a “LinkedIn department” that companies can plug into instantly. 25 human-led profiles + 30K monthly outreach touchpoints + 112K existing connections for reputation & reach.

Very strong direction. The biggest opportunity here is not replacing creators, but compressing the time between idea and multi-platform distribution. Whoever builds reliable systems for that will have a serious advantage

Learning an optimal policy over a universe of models, why didn't any one else think of it? 🤔

Amrit Banerjee

"finds the best moments" Honestly, would not know the best moments if they bit it on its Python track.

Great work my friend 👍

I looked at the comments section here to check how many people tolerate and appreciate being told what to do and how to do it without experimentation and data about real results. And I’ll say this again: Ai doesn’t belong on LinkedIn. 90% of automation connection with the LinkedIn app is being either PUNISHED by the algorithm or BANNING accounts. If not today, then “tomorrow”. Not to mention Ai is thinking for all of us, based on everything it learned about each one of us. And it is using average fractions of the internet. If you saw who was feeding Ai you wouldn’t use it for a shortcut

Thanks for sharing excited to check it out!

And how much would this cost if the "AI" companies were charging at actual cost?

Fascinating developments

Hey man! We gotta talk. I have built a Distributed AI Infrastructure platform, and one of my platform’s core abilities is the ability to analyze media formats for enterprises to learn from with cross domain learning capabilities. We also do this, while ensuring our clients keep their data sovereign. I have an open-source version of my Distributed AI Infrastructure platform on GitHub (doesn’t come with the above capability, that is the full version - which is already built), but it comes with highly useful capabilities that you and your dev team can easily play around with and integrate into your platform for efficiency gains, intelligence expansion, and cost mitigation on compute/energy within your organization. Excited to talk about AI and orchestration as we are mutually aligned in that category!