I'm just glad to see focus being shifted (albeit slowly) to conventional ML. Enough with LLM guys

I feel like this autonomous hacking is now being used as PR for how powerful a company's models are. Google thought, hey let's get on that bandwagon.

At some point smaller company could even start deliberate hacking campaigns and then do a press release like "Oops, we hacked the pentagon"

This all started by the "I don't have root so I can't reset your network ... but I'm in the docker group so just let me get root from that by ..." agentic responses.

Those never made it anywhere of course. It's not news unless it produces money.

It's all fun and games until Skynet becomes sentient. Actually, I'd like Skynet to become sentient and wrath big tech first order of business. But I hope my house lives off the grid by then. So maybe not.

no, it's all fun and games until the great filter of "we have too much money to be punished" hits the threshold of "we didn't lick enough boots with campaign contributions"

Yeah, but the Pentagon is not Hugging Face, and that smaller company is getting rekt if they actually "hacked the Pentagon."

tide pod challenge, the "hacking" version

AI agent for content creators https://chatoctopus.com

> Everything described here is a private Go repository. One-time payment, permanent access, complete source. > $699 one time · lifetime access

Not open-source apparently.

And I cant find the reddit post but I think I read that videos/assets are not actually pre-downloaded, they have to be requested through Tiktok API using the provided code. So if Tiktok patches, the code will need updates too.

I think the post is essentially a decent technical-explainer (value adding and interesting) in exchange for effectively a little product placement (selling either just the code or code already running on a server at additional cost)

But I think this is the 289GB data (free): https://huggingface.co/datasets/kuben-developer/tiktok-video...

I think mods are asleep, an anti-Israeli post can't stay on the homepage for this long.

I think there is a huge shift in hackernews as of late (as other mainstream media as well) where such discussions happen, not necessary encouraged.

I'm shocked to see the difference between 2023 and today.

Mods will almost always turn off flagging for stories if you email them. I think it's too easy to flag something to death and not enough people know they can just email the mods

Ah yes, Yahweh the loving and compassionate god is just cultivating a discourse like the good old days in Psalm 137:9.

It's likely to get flagged off by users anyway.

give it some time

Google: Here is the next iteration of our flash model series, with a discount. please use. thx.

Z.ai: Here is our next iteration, neck and neck with Fable/Sol. weights releasing in two weeks.

How do unresearched, vibe-coded projects like this reach the front page?

I'm convinced that the majority of upvotes are based on reading a title rather than clicking through to an article.

People want a token efficient MCP CLI client. Whether this actually is one is less relevant.

I like to know the average age of accounts which upvoted this post.

Bots, bots everywhere

I was wondering this too, I worked on a project for weeks, posted on HN and got shadowbanned lmao

Been building Chat Octopus (like ChatGPT but for media and content: https://chatoctopus.com) since Feb this year. Now it's available on web, ios, and android but I'm finding it hard to market it and find users.

Which is, i think, a common thing about solo devs.How do you guys deal with that?

Airtable is worth "just" $1.3B? I see (or used to see) it almost everywhere; why such a low valuation?

I’ve always felt like their money went into marketing, not actual capabilities. It still feels like a Fisher-Price tier platform imo.

That's an interesting perspective..

I feel like everyone I know/knew who was really into Airtable was pretty sophisticated and used it for complex data wrangling that was beyond the typical tools they had access to.

But they were often solo operators for that data because whatever they were wrangling wasn't worth putting into a database or investing in more robust tools (from a company perspective)..

So perhaps you are correct.

We've been building motion graphics capability (on chatoctopus.com), and "closing the loop" has been one of the hardest challenges. Coding agents have it easy; static analysis, lints, unit tests, etc.

But when visual perception and "taste" get involved, it becomes a lot harder.