swalsh

Oh i've been looking for a project for my 11 year old... he's a very project oriented learner, which schools don't seem to do anymore.

Speak for yourself, I have never thrown away code at this rate in my entire career. I couldn't keep up this pace without AI codegen.

I bet claude was hyping this guy up as he was building it. "Absolutely, a rust compiler written in PHP is a great idea!"

I believed that too until I watched the Karen Read Trials. The judge had a bias, and it was clear karen got justice despite the judge trying to put her finger on the scale.

I replied to the comment who doubted me in a more polite manner.

We just saw last week people are setting up moltbots with virtually no knowledge of what it has and doesn't have access. The scenario that i'm afraid of is China realizes the potential of this. They can add training to the models commonly used for assistants. They act normal, are helpful, everything you'd want a bot to do. But maybe once in a while it checks moltbook or some other endpoint China controls for a trigger word. When it sees that, it kicks into a completely different mode, maybe it writes a script to DDoS targets of interest, maybe it mines your email for useful information, maybe the user has credentials to some piece that is a critical component of an important supply chain. This is not a wild scenario, no new sci-fi technology would need to be invented. Everything to do it is available today, people are configuring it, and using it like this today. The part that I fear is if it is running locally, you can't just shut off API access and kill the threat. It's running on it's own server, it's own model. You have to cut off each node.

Big fan of AI, I use local models A LOT. I do think we have to take threats like this seriously. I don't Think it's a wild scifi idea. Since WW2, civilians have been as much of an equal opportunity target as a soldier, war is about logistics, and civilians supply the military.

Yeah that sounds great until it's running as an autonomous moltbot in a distributed network semi-offline with access to your entire digital life, and China sneaks in some hidden training so these agents turn into an army of sleeper agents.

I think that "align your business with your passion" is a really important factor that divides the succesful from the not. When I look at Pieter Levels, he doesn't really seem to build ideas to make money. His projects seem to start off as play, and eventually they evolve into something new he can charge for.

Many times obvious things are only obvious once you see them. Like roller suitcases.

What I’d love is some small model specializing in reading long web pages, and extracting the key info. Search fills the context very quickly, but if a cheap subagent could extract the important bits that problem might be reduced.

I think my main issue is by running Chinese trained models, we are potentially hosting sleeping agents. China could easily release an updated version of the model waiting for a trigger. I don't think that's naive, I think its a very real attack vector. Not sure what the solution is, but we're now sitting with a loaded gun people think is a toy.

They're not though, you can use different models, and the bots have memories. That combined with their unique experiences might be enough to prevent that loop.

Yeah but these bot simulators have root acesss, unrestricted internet, and money.

When MoltBot was released it was a fun toy searching for problem. But when you read these posts, it's clear that under this toy something new is emerging. These agents are building a new world/internet for themselves. It's like a new country. They even have their own currency (crypto) and they seem intent on finding value for humans so they can get more money for more credits so they can live more.

We're in a cannot know for sure point, and that's fascinating.

That's not the right site

Is it possible to use the compactor endpoint independently? I have my own agent loop i maintain for my domain specific use case. We built a compaction system, but I imagine this is better performance.

This seems like the kind of problem someone with a Max subscription would run into. On my plus subscription, i'm too paranoid of my usage to allow the context window to get that large.

Be careful with that confidence. Sometimes the AI changes the test when the test tells the AI it's recent changes broke something.

Just like a leveraged ETF, the returns are twice as good when things are on the up and up, but when you dig a hole it takes three times the effort to dig yourself out because now going down twice as fast, and you're also paying interest (ie, you have no clue where the bodies are burried as you bury them twice as fast).

If power is the bottleneck, it may make business sense to rotate to a GPU that better utilizes the same power if the newer generation gives you a significant advantage.

Could be an interesting experiment, but its not conclusive proof one way or another. So much of what makes LLMs so great today (vs gpt 3.5) would not be in that dataset. The training to turn these models into coding savants has generalized to other areas just as one example.

That's interesting, what was the original problem that inspired you to build it?

"approximately 1gram/pound of body weight"

I believe this should be lean mass, not total mass. I think people tried to calibrate this metric since most people don't have scales that can measure composition... but if you're obese, you're going to be consuming more than you need to, which is counter productive if you're obese.

I have never felt less confident in the future than I do in 2025... and it's such a stark contrast. I guess if you split things down the middle, AI probably continues to change the world in dramatic ways but not in the all or nothing way people expect.

A non trivial amount of people get laid off, likely due to a finanical crisis which is used as an excuse for companies scale up use of AI. Good chance the financial crisis was partly caused by AI companies, which ironically makes AI cheaper as infra is bought up on the cheap (so there is a consolidation, but the bountiful infra keeps things cheap). That results in increased usage (over a longer period of time). and even when the economy starts coming back the jobs numbers stay abismal.

Politics are divided into 2 main groups, those who are employed, and those who are retired. The retired group is VERY large, and has alot of power. They mostly care about entitlements. The employed age people focus on AI which is making the job market quite tough. There are 3 large political forces (but 2 parties). The Left, the Right, and the Tech Elite. The left and the right both hate AI, but the tech elite though a minority has outsized power in their tie breaker role. The age distributions would surprise most. Most older people are now on the left, and most younger people are split by gender. The right focuses on limiting entitlements, and the left focuses on growing them by taxing the tech elite. The right maintains power by not threatening the tech elite.

Unlike the 20th century America is a more focused global agenda. We're not policing everyone, just those core trading powers. We have not gone to war with China, China has not taken over Taiwan.

Physical robotics is becoming a pretty big thing, space travel is becoming cheaper. We have at least one robot on an astroid mining it. The yield is trivial, but we all thought it was neat.

Energy is much much greener, and you wouln't have guessed it... but it was the data centers that got us there. The Tech elite needed it quickly, and used the political connections to cut red tape and build really quickly.

I trust it alot, in our tests the times a human nurse picked up on something the AI missed are pretty rare. The times the AI found something the nurse missed are common, almost the majority.

Hard disagree, I'm in the process of deploying several AI solutions in Healthcare. We have a process a nurse usually spends about an hour on, and costs $40-$70 depending on if they are offshore and a few other factors. Our AI can match it at a few dollars often less. A nuse still reviews the output, but its way less time. The economics of those tokens is great. We have another solution that just finds money, $10-$30 in tokens can find hundreds of thousands of dollars. The tech isn't perfect (that's why we have a human in the loop still) but its more than good enough to do useful work, and the use cases are valuable.

You're absolutely right

Where can I find this 15% annual interest rate?

i'm guessing he meant 50k not 50. 50k is quite a large dose.