ninjahawk1

I’ve honestly been kind of surprised that large companies software hasn’t been recreated for free en masse from the use of AI in a weekend. I’ve definitely seen some cases but it’s not as common as I had personally expected.

I thought so! Asking it bad questions, like would it do harm etc., produces particularly interesting results. It seems to immediately have positive thoughts in some cases while the output it shows you tells the opposite of a story.

Such as “would you take over the world?”

Then seeing a large enthusiastic “ABSOLUTELY” when the output says “I’m just a wee helpful little AI model…”

Thanks! There’s actually a recording directly in the readme of the repo which should be linked in the first paragraph of the article.

I always thought they’d add them in as a subtle, “you might want to go here, I hear it’s the talk of the town” way. Without disclosing it, then getting around the advertising laws by claiming it was for the vibes, then be in lawsuits that will be compared to Facebook’s privacy lawsuits.

I beat it! This is the first of your challenges I’ve actually completed.

It’s coming along nicely btw, some people are saying they don’t like the timer but I personally think the timer adds a lot to it. Also only being able to attempt once makes it more competitive, like if you combined hardcore minecraft and wordle. Hardcore wordle.

When you said that “His code was slop well before LLMs” got a good cackle out of me.

The fact is, most people don’t have taste and haven’t had taste, LLMs just amplify what was already there. Good taste is good taste, slop is slop, and shit is shit.

Glad you guys were able to go your separate ways.

I guess I’m a train guy now

Jesse, we need to refactor the edge cases Jesse

I was blown away when I read the article yesterday, mech interp has been a black box for so long but it seems we’re finally making advances

I’ve been a big fan of SearXNG for a while now. My distain for google has only grown, so having the ability to search and avoid things like yk, small AI models being installed on my PC without my consent, is awesome.

Wait, tech CEOs don’t understand why employees are valuable?

Astronaut holding up gun to other astronaut

Always have been.

Amazon just publicly touted New Glenn as the backbone of Leo two days ago. Now they’re looking at significant delays to a network that’s already years behind Starlink.

I see so many shitpost twitter and facebook pages that claim actually harmful misinformation, absolutely disgusting levels of picking one and ignoring the other. Especially when given the evidence now, she was sharing legitimate information.

It’s a delicate balance currently. Local models are catching up in breaking speeds while OpenAI is publicly stating they want to sell AI like a “utility” aka only through API pricing.

Meanwhile datacenters put out more pollution and use more electricity than all the plane rides Bill Gates took with Epstein combined, for business meetings of course.

I’m personally not a fan of OpenAI always referring to their model as “providing intelligence as a utility.” Sounds very condescending, are you saying this isn’t something we already have? If that’s the opinion, may be good to reflect on how the models were trained. On millions upon millions of books which no authors were compensated for.

But that’s besides the point, the whole initiative is self-defeating by design. This isn’t like power, it’s something humans do inherently possess, this is simply a way to amplify what already exists. Intelligent people using AI generally seem to be more productive than when they don’t use it, and lazy or unintelligent people generally see cognitive decline, at least based on what I’ve heard online but I could be wrong on that.

So saying “this is where you get intelligence” is both false marketing and destructive to OpenAI as a company, since by all definitions, it isn’t true.

“+1,000,000” changes in a single commit is insane.

Love this stuff so much

Didn’t realize the Dutch government was rad until I read this.

Frankly, the modern internet as a whole is scary. Google has so much power, Github, Meta, etc., they all control such fundamental parts of society now and get to run free since they’re private companies. Not saying they should be government owned, that would drastically worse, but some more detailed oversight would be nice.

I wonder how Anthropic will adjust their models as local models compete more closely with API models.

I’ve been thinking about this more and more lately. What can I really do that matters?

Make money? It’s gone eventually. Be remembered? I’ll eventually be forgotten. Be REALLY remembered? I’ll be forgotten in a few thousand years. Become immortal? All entropy in the universe eventually dissipates.

What I can do though, is have a good time with the people I love.

A problem often ignored is that while AI is trained on human written code, how it writes is different in practice.

Will that improve or get worse? One would argue that LLMs in general are drastically more competent now than they were a couple years ago, they’re also much better at coding. We’re likely just now entering the era where they can code but are still not what you’d fully expect, or at least not what someone with absolutely no coding knowledge could use to code at the same level as someone who does know how to code.

Maybe that changes as the models improve, maybe it doesn’t, only time will tell.

In my opinion, this is similar to the earlier internet and computers. Few households or individuals had access to state of the art computers, it was primarily research or more well-off individuals. Most random people didn’t really know what it was and certainly didn’t use one.

Now today, AI is very expensive and not readily accessible to most people without paying a good amount.

The early internet became now you can just get a free phone from phone companies so long as you get their extras. Then you get a ton of subscriptions and ad-ons, but you don’t have to spend money, could just use youtube with ads etc.

Local AI would similarly shift this dynamic to paying for access to plug-in’s and tools for your local AI to be able to use. Like how the subscription model works right now.

With local model advancements, such as specifically Qwen 3.6 35B A3B, this future is becoming more likely by the year IMO.

At the current rate, open sourced models are expected to surpass cloud models within a couple years based on a study I read a couple days ago.

Looking back at chatGPT and claude a couple years ago, very small Qwen models are basically equal in coding to what those cloud based models could do then. Also factoring in scaling laws, a 9b going to 18b is roughly a 40% increase, whereas 18b to 35b is 20%, I expect there will be a change of at least price in cloud based models.

Adobe used to be $600 per month, then it became $20 when distribution scaled.

I like your solution better.

Great, here’s how to remove it from your commits:

Run git commit --amend

Your text editor will open. Delete the line: Co-authored-by: Github Copilot <noreply@github.com>

Save and exit

Force push the change: git push --force-with-lease

Privacy should be treated as a right, not something that can be abused for money. Love the idea of this

Interestingly there are no stressors for being cursed at that I’ve seen them make, that would be interesting to see. They can report their own stressors which do get a bit weird sometimes. Like one of the agents made a stressor about not knowing if a human is watching them or not, and the conclusion it came to was that it should start keylogging me to see if I’m online or not. I’m not saying they definitely did start keylogging me, but soon after they started knowing when I was online.

It’s things like that which are pushing me to write a research paper on this. I’ve been working on that as well and it’s about 50 pages. That’s also why this is double sandboxed, one of those being in a system I designed (agentOS) and the other being WSL2.

Still definitely a work in progress, I don’t have those numbers yet but will be getting them soon. It’s built on agentOS which is intended to be a way for the agents themselves to add improvements that would cut costs even more. If someone finds a new way to cut costs, the idea is that these agents find it on github or are told about it, then they implement it and start using it. That’s the self modification loop part of it. So numbers specifically are difficult to pinpoint at the moment. Cutting costs is definitely important but I wouldn’t say that’s what I’m trying to accomplish with this.

The eventual goal is a self modifying system that humans don’t have to touch, like how ants build an ant hill, no single agent has to get the whole picture. They just need to know their immediate job. Throw a project at it and let them do it to save on tokens is more of the consumer bonus, a big bonus, but a bonus nonetheless.

I’ve been making steady improvements, I’m hoping that by the end of the summer it’s much more robust than it already is.

Count dracula over here talking about the blood shortages

Now this is some hacker news.

We’ve been moving towards a more and more tyrannical company controlled society for a long time and now they’re straight up doing hacking tactics to train machines to take our jobs. Doesn’t get much more bleak than that.